diff --git "a/classification/grinsztajn/cat_clf/compas-two-years/test.jsonl" "b/classification/grinsztajn/cat_clf/compas-two-years/test.jsonl"
new file mode 100644--- /dev/null
+++ "b/classification/grinsztajn/cat_clf/compas-two-years/test.jsonl"
@@ -0,0 +1,498 @@
+{"text": "The sex is 1. The age is 42. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 24. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 46. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 61. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 43. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 39. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 42. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 47. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 38. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 27. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 56. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 10. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 56. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 1. The priors_count is 16. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 44. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 28. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 38. The juv_misd_count is 0. The priors_count is 19. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 59. The juv_misd_count is 0. The priors_count is 14. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 67. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 36. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 36. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 10. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 52. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 26. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 28. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 32. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 31. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 53. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 44. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 27. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 1. The priors_count is 11. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 38. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 1. The priors_count is 11. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 57. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 54. The juv_misd_count is 0. The priors_count is 10. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 38. The juv_misd_count is 0. The priors_count is 17. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 51. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 2. The priors_count is 11. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 52. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 45. The juv_misd_count is 1. The priors_count is 7. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 66. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 42. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 47. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 37. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 39. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 47. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 56. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 36. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 32. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 1. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 2. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 51. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 26. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 52. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 33. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 51. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 42. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 58. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 11. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 31. The juv_misd_count is 0. The priors_count is 13. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 1. The priors_count is 11. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 57. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 36. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 25. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 46. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 53. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 31. The juv_misd_count is 0. The priors_count is 16. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 19. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 45. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 27. The juv_misd_count is 1. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 45. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 20. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 52. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 44. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 32. The juv_misd_count is 0. The priors_count is 10. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 44. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 13. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 26. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 34. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 46. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 2. The priors_count is 9. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 39. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 21. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 1. The priors_count is 11. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 43. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 27. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 24. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 46. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 2. The priors_count is 27. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 60. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 9. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 44. The juv_misd_count is 0. The priors_count is 16. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 41. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 32. The juv_misd_count is 1. The priors_count is 9. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 31. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 42. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 49. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 34. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 3. The priors_count is 18. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 39. The juv_misd_count is 0. The priors_count is 17. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 34. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 63. The juv_misd_count is 0. The priors_count is 9. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 43. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 48. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 48. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 2. The priors_count is 11. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 31. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 63. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 56. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 36. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 1. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 48. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 36. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 43. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 32. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 40. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 39. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 43. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 40. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 43. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 40. The juv_misd_count is 1. The priors_count is 24. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 43. The juv_misd_count is 0. The priors_count is 15. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 1. The priors_count is 17. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 29. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 55. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 12. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 45. The juv_misd_count is 0. The priors_count is 17. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 38. The juv_misd_count is 0. The priors_count is 17. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 30. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 45. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 44. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 47. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 40. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 51. The juv_misd_count is 0. The priors_count is 15. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 36. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 32. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 66. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 31. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 10. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 32. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 39. The juv_misd_count is 1. The priors_count is 13. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 56. The juv_misd_count is 0. The priors_count is 12. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 32. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 53. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 48. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 46. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 34. The juv_misd_count is 0. The priors_count is 16. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 9. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 44. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 49. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 49. The juv_misd_count is 0. The priors_count is 29. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 47. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 1. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 52. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 34. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 38. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 50. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 59. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 68. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 55. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 61. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 28. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 34. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 54. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 41. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 35. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 33. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 39. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 40. The juv_misd_count is 0. The priors_count is 11. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 42. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 22. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 47. The juv_misd_count is 0. The priors_count is 14. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 53. The juv_misd_count is 0. The priors_count is 13. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 39. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 35. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 51. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 69. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 39. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 37. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 25. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 48. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 39. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 30. The juv_misd_count is 1. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 23. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 49. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 55. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 56. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 43. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 31. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 39. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 57. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 20. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 17. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 21. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 13. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 69. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 49. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 40. The juv_misd_count is 0. The priors_count is 15. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 3. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 31. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 57. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 1. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 34. The juv_misd_count is 0. The priors_count is 15. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 58. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 40. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 13. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 24. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 14. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 32. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 56. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 50. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 51. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 26. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 56. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 11. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 21. The juv_misd_count is 1. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 45. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 34. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 39. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 46. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 47. The juv_misd_count is 0. The priors_count is 23. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 1. The priors_count is 10. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 36. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 48. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 34. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 13. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 36. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 40. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 49. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 43. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 55. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 16. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 31. The juv_misd_count is 0. The priors_count is 14. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 50. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 11. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 55. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 1. The priors_count is 10. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 32. The juv_misd_count is 3. The priors_count is 24. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 31. The juv_misd_count is 0. The priors_count is 9. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 33. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 2. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 45. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 1. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 37. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 52. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 24. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 34. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 36. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 41. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 45. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 43. The juv_misd_count is 0. The priors_count is 13. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 32. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 3. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 38. The juv_misd_count is 0. The priors_count is 14. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 1. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 40. The juv_misd_count is 0. The priors_count is 15. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 52. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 49. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 7. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 41. The juv_misd_count is 0. The priors_count is 19. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 1. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 56. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 23. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 25. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 31. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 39. The juv_misd_count is 1. The priors_count is 17. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 48. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 27. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 26. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 42. The juv_misd_count is 0. The priors_count is 17. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 23. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 20. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 30. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 45. The juv_misd_count is 0. The priors_count is 13. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 32. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 46. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 36. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 22. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 50. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 41. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 44. The juv_misd_count is 0. The priors_count is 11. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 23. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 43. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 42. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 9. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 38. The juv_misd_count is 0. The priors_count is 10. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 28. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 55. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 28. The juv_misd_count is 0. The priors_count is 6. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 50. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 74. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 8. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 30. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 35. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 32. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 22. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 2. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 2. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 21. The juv_misd_count is 0. The priors_count is 5. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 29. The juv_misd_count is 0. The priors_count is 16. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 33. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 26. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 23. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 0. The age is 28. The juv_misd_count is 0. The priors_count is 4. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 24. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 1. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 37. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 56. The juv_misd_count is 0. The priors_count is 22. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 1. The race_Caucasian is 0. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 68. The juv_misd_count is 0. The priors_count is 0. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 31. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 1. The age_cat_Greaterthan45 is 0. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 1. The c_charge_degree_M is 0.", "label": "1", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 50. The juv_misd_count is 0. The priors_count is 1. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}
+{"text": "The sex is 1. The age is 59. The juv_misd_count is 0. The priors_count is 3. The age_cat_25-45 is 0. The age_cat_Greaterthan45 is 1. The age_cat_Lessthan25 is 0. The race_African-American is 0. The race_Caucasian is 1. The c_charge_degree_F is 0. The c_charge_degree_M is 1.", "label": "0", "dataset": "compas-two-years", "benchmark": "grinsztajn", "task_type": "clf"}