prompt stringlengths 665 627k | metadata stringlengths 286 56.7k | task stringclasses 25
values | dataset stringclasses 46
values |
|---|---|---|---|
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5978", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5978", "label": [], "labeled_data": [[["Foreign_36", "Foreign_58", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14090", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14090", "label": [], "labeled_data": [[["Foreign_32"], "Foreign_34... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_7065", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_7065", "label": [], "labeled_data": [[["Foreign_18", "Foreign_3"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4930", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4930", "label": [], "labeled_data": [[["Foreign_19", "Foreign_16"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6136", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6136", "label": [], "labeled_data": [[["Foreign_25", "Foreign_15", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11864", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11864", "label": [], "labeled_data": [[["Foreign_36", "Foreign_0"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1697", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1697", "label": [], "labeled_data": [[["Foreign_9", "Foreign_47"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14455", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14455", "label": [], "labeled_data": [[["Foreign_90", "Foreign_91"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4492", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4492", "label": [], "labeled_data": [[["Foreign_38", "Foreign_53"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_16437", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_16437", "label": [], "labeled_data": [[["Foreign_1", "Foreign_4"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10728", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10728", "label": [], "labeled_data": [[["Foreign_64", "Foreign_58"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4109", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4109", "label": [], "labeled_data": [[["Foreign_8", "Foreign_17"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4540", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4540", "label": [], "labeled_data": [[["Foreign_25", "Foreign_2", "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3909", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3909", "label": [], "labeled_data": [[["Foreign_3", "Foreign_21"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_13061", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_13061", "label": [], "labeled_data": [[["Foreign_4", "Foreign_12"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2744", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2744", "label": [], "labeled_data": [[["Foreign_69", "Foreign_5", "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15635", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15635", "label": [], "labeled_data": [[["Foreign_22", "Foreign_26"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11633", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11633", "label": [], "labeled_data": [[["Foreign_49", "Foreign_29"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_7646", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_7646", "label": [], "labeled_data": [[["Foreign_83"], "Foreign_12"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11554", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11554", "label": [], "labeled_data": [[["Foreign_21", "Foreign_19"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_945", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_945", "label": [], "labeled_data": [[["Foreign_0", "Foreign_30", "Fo... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5457", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5457", "label": [], "labeled_data": [[["Foreign_10", "Foreign_7"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3689", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3689", "label": [], "labeled_data": [[["Foreign_57", "Foreign_9"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_13880", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_13880", "label": [], "labeled_data": [[["Foreign_92", "Foreign_28"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14240", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14240", "label": [], "labeled_data": [[["Foreign_95", "Foreign_48"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12982", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12982", "label": [], "labeled_data": [[["Foreign_39", "Foreign_32"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12321", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12321", "label": [], "labeled_data": [[["Foreign_14", "Foreign_12"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10814", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10814", "label": [], "labeled_data": [[["Foreign_32", "Foreign_10"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_13596", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_13596", "label": [], "labeled_data": [[["Foreign_99", "Foreign_17"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14645", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14645", "label": [], "labeled_data": [[["Foreign_32", "Foreign_41"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9406", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9406", "label": [], "labeled_data": [[["Foreign_25", "Foreign_36", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6398", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6398", "label": [], "labeled_data": [[["Foreign_48", "Foreign_46"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_542", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_542", "label": [], "labeled_data": [[["Foreign_34", "Foreign_47"], "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10294", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10294", "label": [], "labeled_data": [[["Foreign_22"], "Foreign_39... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11572", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11572", "label": [], "labeled_data": [[["Foreign_61", "Foreign_52"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1117", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1117", "label": [], "labeled_data": [[["Foreign_36", "Foreign_2"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12133", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12133", "label": [], "labeled_data": [[["Foreign_59", "Foreign_30"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3573", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3573", "label": [], "labeled_data": [[["Foreign_77"], "Foreign_6"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9586", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9586", "label": [], "labeled_data": [[["Foreign_30", "Foreign_11", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6667", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6667", "label": [], "labeled_data": [[["Foreign_14", "Foreign_17", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8423", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8423", "label": [], "labeled_data": [[["Foreign_22", "Foreign_10", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11073", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11073", "label": [], "labeled_data": [[["Foreign_86", "Foreign_49"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6387", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6387", "label": [], "labeled_data": [[["Foreign_7", "Foreign_11"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2873", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2873", "label": [], "labeled_data": [[["G", "Foreign_2"], "Foreign_... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2394", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2394", "label": [], "labeled_data": [[["Foreign_31", "Foreign_1"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_7738", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_7738", "label": [], "labeled_data": [[["Foreign_0"], "Foreign_50"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11175", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11175", "label": [], "labeled_data": [[["Foreign_43", "Foreign_32"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_7217", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_7217", "label": [], "labeled_data": [[["Foreign_56", "Foreign_31"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5293", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5293", "label": [], "labeled_data": [[["Foreign_89"], "Foreign_44"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5308", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5308", "label": [], "labeled_data": [[["Foreign_17"], "Foreign_7"]]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12621", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12621", "label": [], "labeled_data": [[["Foreign_94", "Foreign_4"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15171", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15171", "label": [], "labeled_data": [[["Foreign_0", "Foreign_46",... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4140", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4140", "label": [], "labeled_data": [[["Foreign_51", "Foreign_2"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_13110", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_13110", "label": [], "labeled_data": [[["Foreign_9", "Foreign_5", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3846", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3846", "label": [], "labeled_data": [[["Foreign_72", "Foreign_29"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9882", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9882", "label": [], "labeled_data": [[["Foreign_18", "Foreign_36"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8597", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8597", "label": [], "labeled_data": [[["Foreign_63", "Foreign_88"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4416", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4416", "label": [], "labeled_data": [[["Foreign_35", "Foreign_44", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3684", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3684", "label": [], "labeled_data": [[["Foreign_97", "Foreign_65", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6088", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6088", "label": [], "labeled_data": [[["Foreign_21", "Foreign_68", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15427", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15427", "label": [], "labeled_data": [[["Foreign_16", "Foreign_96"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9865", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9865", "label": [], "labeled_data": [[["Foreign_59", "Foreign_23", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_795", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_795", "label": [], "labeled_data": [[["Foreign_62", "Foreign_97"], "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12771", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12771", "label": [], "labeled_data": [[["Foreign_14", "Foreign_85"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14553", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14553", "label": [], "labeled_data": [[["Foreign_44", "Foreign_5",... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1845", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1845", "label": [], "labeled_data": [[["Foreign_28", "Foreign_21"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2563", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2563", "label": [], "labeled_data": [[["Foreign_65"], "Foreign_35"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1072", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1072", "label": [], "labeled_data": [[["Foreign_79"], "Foreign_16"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6729", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6729", "label": [], "labeled_data": [[["Foreign_46", "Foreign_9", "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15929", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15929", "label": [], "labeled_data": [[["Foreign_36", "Foreign_3",... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_13377", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_13377", "label": [], "labeled_data": [[["Foreign_33", "Foreign_29"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1530", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1530", "label": [], "labeled_data": [[["Foreign_83", "Foreign_18"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15450", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15450", "label": [], "labeled_data": [[["Foreign_13", "Foreign_99"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2684", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2684", "label": [], "labeled_data": [[["Foreign_70", "Foreign_3"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4454", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4454", "label": [], "labeled_data": [[["Foreign_44", "Foreign_61"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14954", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14954", "label": [], "labeled_data": [[["Foreign_7", "Foreign_43"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12585", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12585", "label": [], "labeled_data": [[["Foreign_36", "Foreign_64"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6481", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6481", "label": [], "labeled_data": [[["Foreign_0", "Foreign_5", "F... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8933", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8933", "label": [], "labeled_data": [[["Foreign_34", "Foreign_58", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9016", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9016", "label": [], "labeled_data": [[["Foreign_56", "Foreign_36", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4504", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4504", "label": [], "labeled_data": [[["Foreign_50", "Foreign_45", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_7111", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_7111", "label": [], "labeled_data": [[["Foreign_23", "Foreign_20", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9481", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9481", "label": [], "labeled_data": [[["Foreign_97", "E", "Foreign_... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9066", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9066", "label": [], "labeled_data": [[["Foreign_31", "Foreign_24"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2318", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2318", "label": [], "labeled_data": [[["Foreign_63", "Foreign_99"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_7899", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_7899", "label": [], "labeled_data": [[["Foreign_40", "Foreign_57"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4223", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4223", "label": [], "labeled_data": [[["Foreign_9", "Foreign_14", "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_16404", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_16404", "label": [], "labeled_data": [[["Foreign_87", "Foreign_22"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10072", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10072", "label": [], "labeled_data": [[["Foreign_52", "Foreign_36"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12183", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12183", "label": [], "labeled_data": [[["Foreign_66", "Foreign_59"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10863", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10863", "label": [], "labeled_data": [[["Foreign_3", "Foreign_80"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12687", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12687", "label": [], "labeled_data": [[["Foreign_58"], "Foreign_1"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_196", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_196", "label": [], "labeled_data": [[["Foreign_95", "Foreign_14"], "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_54", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_54", "label": [], "labeled_data": [[["Foreign_37", "Foreign_35"], "Fo... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4935", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4935", "label": [], "labeled_data": [[["Foreign_49"], "Foreign_55"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_16417", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_16417", "label": [], "labeled_data": [[["Foreign_67"], "Foreign_36... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_7329", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_7329", "label": [], "labeled_data": [[["Foreign_76", "Foreign_1"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14806", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14806", "label": [], "labeled_data": [[["Foreign_69", "Foreign_4",... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4489", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4489", "label": [], "labeled_data": [[["D", "Foreign_33", "Foreign_... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_13672", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_13672", "label": [], "labeled_data": [[["Foreign_18", "Foreign_76"... | String-Relationship | Auto-Relate |
Subsets and Splits
Cisco Random Formula Prediction Case 166
Retrieves a specific subset of training data with particular task, dataset, and metadata conditions, but only returns raw examples without providing broader analytical insights.