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Where would you keep a rug near your front door? | living room | commonsenseQA | csqa | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(letter choice)</answer>.\n\n# Problem\nWhere would you keep a rug near your front door?\n\n# Answer Choices\nA - persia\nB - desk\nC - table\nD - living room\nE - hal... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["persia", "desk", "table", "living room", "hall"]}, "answer_key": "D", "answer_index": 3, "task_source": "csqa", "id": "22015315e7ff79386877828b4fa27799"} | test | 3 | D | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"persia",
"desk",
"table",
"living room",
"hall"
]
} | 22015315e7ff79386877828b4fa27799 | [
"<think>\n<sample>\nTo determine where to keep a rug near your front door, let's consider each option:\n\nA. Persia: This refers to Iran and has no direct relevance to keeping rugs near doors.\nB. Desk: A rug on a desk might clutter space but doesn't logically fit near a front door.\nC. Table: Similar to a desk, pl... | [
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0... | 2025-11-09 | test | main | TAUR-dev/M-ablations__rl_ab_no_reflects-rl | 0 | eval_rl | 1 | 2025-11-09T18:07:52.562951 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA-eval_rl |
Danny found an old film in a sealed what? | cabinet | commonsenseQA | csqa | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(letter choice)</answer>.\n\n# Problem\nDanny found an old film in a sealed what?\n\n# Answer Choices\nA - clingfilm\nB - disneyland\nC - cave\nD - cabinet\nE - movie\... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["clingfilm", "disneyland", "cave", "cabinet", "movie"]}, "answer_key": "D", "answer_index": 3, "task_source": "csqa", "id": "a328285c6212c899e335c45db3c49ffd"} | test | 3 | D | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"clingfilm",
"disneyland",
"cave",
"cabinet",
"movie"
]
} | a328285c6212c899e335c45db3c49ffd | [
"<think>\n<sample>\nTo solve this problem, let's analyze each option:\n\nA. Clingfilm - This is commonly used for sealing food items but not typically associated with finding films.\nB. Disneyland - While fun and enjoyable, it's not something one would find an old film in.\nC. Cave - Caves can have preserved artifa... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
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... | 2025-11-09 | test | main | TAUR-dev/M-ablations__rl_ab_no_reflects-rl | 0 | eval_rl | 1 | 2025-11-09T18:07:52.562968 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA-eval_rl |
The earth is one planet in what? | solar system | commonsenseQA | csqa | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(letter choice)</answer>.\n\n# Problem\nThe earth is one planet in what?\n\n# Answer Choices\nA - tree\nB - orbit\nC - solar system\nD - fotograph\nE - dreams\n\nGive ... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["tree", "orbit", "solar system", "fotograph", "dreams"]}, "answer_key": "C", "answer_index": 2, "task_source": "csqa", "id": "17eafc807b198236faf06a66f4c05313"} | test | 2 | C | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"tree",
"orbit",
"solar system",
"fotograph",
"dreams"
]
} | 17eafc807b198236faf06a66f4c05313 | [
"<think>\n<sample>\nTo solve this problem, let's think through it logically:\n\n1. The question asks about the Earth being part of something.\n2. We need to identify which option correctly describes where the Earth fits into the universe.\n\nNow, let's analyze each option:\n\nA. Tree - This does not relate to plane... | [
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false
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[
"C",
"C",
"C"
],
[
"C",
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... | 2025-11-09 | test | main | TAUR-dev/M-ablations__rl_ab_no_reflects-rl | 0 | eval_rl | 1 | 2025-11-09T18:07:52.562970 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA-eval_rl |
What is someone operating a vehicle likely to be accused of after becoming inebriated? | drunk driving | commonsenseQA | csqa | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(letter choice)</answer>.\n\n# Problem\nWhat is someone operating a vehicle likely to be accused of after becoming inebriated?\n\n# Answer Choices\nA - punish\nB - arr... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["punish", "arrest", "automobile accidents", "drunk driving", "talking nonsense"]}, "answer_key": "D", "answer_index": 3, "task_source": "csqa", "id": "cfa980561efe82e7ae7080d4f081b463"} | test | 3 | D | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"punish",
"arrest",
"automobile accidents",
"drunk driving",
"talking nonsense"
]
} | cfa980561efe82e7ae7080d4f081b463 | [
"<think>\n<sample>\nTo solve this problem, let's consider each option carefully:\n\nA. Punish - This refers to legal action taken against someone who commits a crime but does not directly relate to the act of being intoxicated and driving.\nB. Arrest - Similar to punishment, arresting someone involves legal action ... | [
false,
false,
false,
false
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... | 2025-11-09 | test | main | TAUR-dev/M-ablations__rl_ab_no_reflects-rl | 0 | eval_rl | 1 | 2025-11-09T18:07:52.562972 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA-eval_rl |
The town house went right to the curb, a slot effectively made a mailbox of the what? | front door | commonsenseQA | csqa | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(letter choice)</answer>.\n\n# Problem\nThe town house went right to the curb, a slot effectively made a mailbox of the what?\n\n# Answer Choices\nA - apartment buildi... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["apartment building", "front door", "back door", "street corner", "porch"]}, "answer_key": "B", "answer_index": 1, "task_source": "csqa", "id": "70d3ebc00b165d9d08f9491a1dd85034"} | test | 1 | B | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"apartment building",
"front door",
"back door",
"street corner",
"porch"
]
} | 70d3ebc00b165d9d08f9491a1dd85034 | [
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false
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... | 2025-11-09 | test | main | TAUR-dev/M-ablations__rl_ab_no_reflects-rl | 0 | eval_rl | 1 | 2025-11-09T18:07:52.562974 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA-eval_rl |
Where is a salt shaker most often kept? | table setting | commonsenseQA | csqa | [
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"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(letter choice)</answer>.\n\n# Problem\nWhere is a salt shaker most often kept?\n\n# Answer Choices\nA - cruet\nB - table setting\nC - kitchen cupboard\nD - cabinet\nE... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["cruet", "table setting", "kitchen cupboard", "cabinet", "store"]}, "answer_key": "B", "answer_index": 1, "task_source": "csqa", "id": "c2a8c6814ed3e207771cfc23b3b42cf1"} | test | 1 | B | {
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"kitchen cupboard",
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} | c2a8c6814ed3e207771cfc23b3b42cf1 | [
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... | 2025-11-09 | test | main | TAUR-dev/M-ablations__rl_ab_no_reflects-rl | 0 | eval_rl | 1 | 2025-11-09T18:07:52.562976 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA-eval_rl |
Everybody was changing into costumes in the dressing room, it was almost time to take the what stage? | theater | commonsenseQA | csqa | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(letter choice)</answer>.\n\n# Problem\nEverybody was changing into costumes in the dressing room, it was almost time to take the what stage?\n\n# Answer Choices\nA - ... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["theater", "train", "bathhouse", "dwelling", "actors and actresses"]}, "answer_key": "A", "answer_index": 0, "task_source": "csqa", "id": "db63bf66a8bfd16e5103cbdd350f5202"} | test | 0 | A | {
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} | db63bf66a8bfd16e5103cbdd350f5202 | [
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... | 2025-11-09 | test | main | TAUR-dev/M-ablations__rl_ab_no_reflects-rl | 0 | eval_rl | 1 | 2025-11-09T18:07:52.562978 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA-eval_rl |
What would someone use a personal key for? | own home | commonsenseQA | csqa | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(letter choice)</answer>.\n\n# Problem\nWhat would someone use a personal key for?\n\n# Answer Choices\nA - car stand\nB - at hotel\nC - own home\nD - front door\nE - ... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["car stand", "at hotel", "own home", "front door", "bus depot"]}, "answer_key": "C", "answer_index": 2, "task_source": "csqa", "id": "1b3d286458a7e7f069222de0376d06da"} | test | 2 | C | {
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} | 1b3d286458a7e7f069222de0376d06da | [
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... | 2025-11-09 | test | main | TAUR-dev/M-ablations__rl_ab_no_reflects-rl | 0 | eval_rl | 1 | 2025-11-09T18:07:52.562980 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA-eval_rl |
What does playing soccer and winning lead to? | excitement | commonsenseQA | csqa | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"choices\": {\"label\": [\"A\", \"B\", \"C\", \"D\", \"E\"], \"text\": [\"excitement\", \"getting(...TRUNCATED) | test | 0 | A | {
"label": [
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],
"text": [
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"overtime",
"anger",
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} | 64ab884bd870f6f68146636b4cce921c | ["<think>\n<sample>\nTo determine the correct answer, let's consider each option provided:\n\nA. Exc(...TRUNCATED) | [
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] | [["A","A"],["D","excitement","excitement"],["D","None of the above options accurately describe what (...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 898, \"span_text\": \"A\", (...TRUNCATED) | "[[{\"evaluation_method\": \"legacy\", \"legacy_result\": true}, {\"evaluation_method\": \"legacy\",(...TRUNCATED) | {"flips_by":[0,0,0,0],"flips_total":0,"num_correct":2,"pass_at_n":1,"percent_correct":0.5,"skill_cou(...TRUNCATED) | 2025-11-09 | test | main | TAUR-dev/M-ablations__rl_ab_no_reflects-rl | 0 | eval_rl | 1 | 2025-11-09T18:07:52.562982 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA-eval_rl |
"During the winter hunt he could hear every motion in the woods, this was because of the what of eve(...TRUNCATED) | stillness | commonsenseQA | csqa | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"choices\": {\"label\": [\"A\", \"B\", \"C\", \"D\", \"E\"], \"text\": [\"being still\", \"silenc(...TRUNCATED) | test | 3 | D | {"label":["A","B","C","D","E"],"text":["being still","silence","stationary","stillness","standing st(...TRUNCATED) | 8b2af2d865b7dc500427786c846eacaf | ["<think>\n<sample>\nTo solve this problem, let's analyze each option:\n\nA. Being still - This mean(...TRUNCATED) | [
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End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA
Experiment Description: Evaluation experiment for task commonsenseQA from FinEval_16k_fulleval_3args_NoReflects-RL
Start Time: 2025-11-09T17:08:08.637372
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA__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_3args_NoReflects-RL-commonsenseQA__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_NoReflects-RL-commonsenseQA__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_3args_NoReflects-RL-commonsenseQA - {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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