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Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer> (your answer) </answer>.
### Problem
Given a list of letters, rearrange the letters to create a valid English word. You should satisfy the following conditions:
1) Only use the lette... | letter_countdown_5o | letter_countdown | [
{
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} | 2025-11-27 | test | main | TAUR-dev/M-1119_newmodels__qwen7b_sft1k_ours-rl@checkpoint-step-100 | 0 | eval_rl | 1 | 2025-11-27T22:28:37.241134 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o-eval_rl | |
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"dive",
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | letter_countdown_5o | letter_countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"letters\": \"enreg\", \"source\": \"green\", \"length\": 5, \"task_config\": \"letter_countdown_(...TRUNCATED) | test | 5 | enreg | green | ["<think>\n<sample>\nTo solve this problem, we need to find a valid English word that can be formed (...TRUNCATED) | [
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"regen",
"reneg",
"genre",
"regen"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 6, \"non_overlapping_spans\": 6, \"span_st(...TRUNCATED) | "[{\"is_correct\": false, \"final_answer\": \"regen\", \"errors\": \"not_a_valid_word\", \"length\":(...TRUNCATED) | [[false,false,true,false,false,false],[true,true,true,true],[true,false,true,false,false,true,true,t(...TRUNCATED) | [["regen","regen","reneg","energ","regen","regen"],["reneg","reneg","reneg","reneg"],["genre","gerne(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 808, \"span_text\": \"regen(...TRUNCATED) | "[[{\"is_correct\": false, \"final_answer\": \"regen\", \"errors\": \"not_a_valid_word\", \"length\"(...TRUNCATED) | {"flips_by":[1,0,2,0],"flips_total":3,"num_correct":2,"pass_at_n":1,"percent_correct":0.5,"total_res(...TRUNCATED) | 2025-11-27 | test | main | TAUR-dev/M-1119_newmodels__qwen7b_sft1k_ours-rl@checkpoint-step-100 | 0 | eval_rl | 1 | 2025-11-27T22:28:37.241150 | "TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdo(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | letter_countdown_5o | letter_countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"letters\": \"chtma\", \"source\": \"match\", \"length\": 5, \"task_config\": \"letter_countdown_(...TRUNCATED) | test | 5 | chtma | match | ["<think>\n<sample>\nTo solve this problem, we need to find a valid English word that can be formed (...TRUNCATED) | [
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"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | letter_countdown_5o | letter_countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"letters\": \"demlo\", \"source\": \"model\", \"length\": 5, \"task_config\": \"letter_countdown_(...TRUNCATED) | test | 5 | demlo | model | ["<think>\n<sample>\nTo solve this problem, we need to find a valid English word that can be formed (...TRUNCATED) | [
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] | [["range","range","range","range"],["range","anger","rang","rang","range","range"],["range","rang","(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 919, \"span_text\": \"range(...TRUNCATED) | "[[{\"is_correct\": true, \"final_answer\": \"range\", \"errors\": \"\", \"length\": 5}, {\"is_corre(...TRUNCATED) | {"flips_by":[0,1,1,0],"flips_total":2,"num_correct":3,"pass_at_n":1,"percent_correct":0.75,"total_re(...TRUNCATED) | 2025-11-27 | test | main | TAUR-dev/M-1119_newmodels__qwen7b_sft1k_ours-rl@checkpoint-step-100 | 0 | eval_rl | 1 | 2025-11-27T22:28:37.241156 | "TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdo(...TRUNCATED) | |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | letter_countdown_5o | letter_countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"letters\": \"reatd\", \"source\": \"trade\", \"length\": 5, \"task_config\": \"letter_countdown_(...TRUNCATED) | test | 5 | reatd | trade | ["<think>\n<sample>\nTo solve this problem, we need to find a valid English word that can be formed (...TRUNCATED) | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {"api_url":"http://10.32.36.237:9080/v1","backend":"litellm","chat_template_applied":true,"generatio(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-1119_newmodels__qwen7b_sft1k_ours-rl@check(...TRUNCATED) | [
true,
true,
true,
false
] | [
"rated",
"rated",
"tared",
"read"
] | "[{\"extraction_type\": \"final\", \"total_spans_found\": 6, \"non_overlapping_spans\": 6, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"final_answer\": \"rated\", \"errors\": \"\", \"length\": 5}, {\"is_correc(...TRUNCATED) | [[false,true,true,true,true,true],[true,false,true,true,true],[false,true,false,false,true,true],[tr(...TRUNCATED) | [["read","rated","derat","dater","rated","rated"],["rated","dated","rated","rated","rated"],["read",(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1258, \"span_text\": \"read(...TRUNCATED) | "[[{\"is_correct\": false, \"final_answer\": \"read\", \"errors\": \"length_constraint_violated\", \(...TRUNCATED) | {"flips_by":[0,1,1,1],"flips_total":3,"num_correct":3,"pass_at_n":1,"percent_correct":0.75,"total_re(...TRUNCATED) | 2025-11-27 | test | main | TAUR-dev/M-1119_newmodels__qwen7b_sft1k_ours-rl@checkpoint-step-100 | 0 | eval_rl | 1 | 2025-11-27T22:28:37.241157 | "TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdo(...TRUNCATED) |
End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o
Experiment Description: Evaluation experiment for task letter_countdown_5o from FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL
Start Time: 2025-11-27T21:30:08.355893
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1
Stages Completed
Total stages: 1
Models Created
Dataset Configurations
This tracker dataset contains the following configurations with immediate upload as stages complete:
Training Data (Complete Datasets)
Hyperparameters (Complete Configurations)
Logs (Stage-Specific)
Evaluation Results (Complete with Annotations)
Metadata
- experiment_metadata: Timeline and stage information
Usage
Load specific configurations with:
from datasets import load_dataset
# Load experiment metadata
metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o__v1', 'evals_eval_rl')
Models
Registry
All models from this experiment are automatically registered in the SkillFactory Model Registry with:
- Complete training configuration (hyperparameters, datasets, methods)
- Experiment lineage (links back to this tracker dataset)
- Stage-specific metadata (SFT vs RL training details)
- Structured input data references (training datasets and configurations)
Registry entries follow the naming pattern: Model - FinEval_16k_fulleval_3arg_OT_ours_1k_atstep100-RL-letter_countdown_5o - {stage_name} - {SFT/RL}
Generated by SkillFactory Experiment Management System All artifacts uploaded immediately as stages complete with perfect data provenance
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