question stringlengths 21 279 | answer stringlengths 3 23 | task_config stringclasses 1
value | task_source stringclasses 1
value | prompt listlengths 1 1 | model_responses listlengths 0 0 | model_responses__eval_is_correct listlengths 0 0 | all_other_columns stringlengths 200 264 | original_split stringclasses 1
value | answer_index int64 0 4 | answer_key stringclasses 5
values | choices dict | id stringlengths 32 34 | model_responses__best_of_n_atags listlengths 4 4 | model_responses__best_of_n_atags__finish_reason_length_flags listlengths 4 4 | model_responses__best_of_n_atags__length_partial_responses listlengths 4 4 | prompt__best_of_n_atags__metadata dict | model_responses__best_of_n_atags__metadata dict | model_responses__best_of_n_atags__eval_is_correct listlengths 4 4 | model_responses__best_of_n_atags__eval_extracted_answers listlengths 4 4 | model_responses__best_of_n_atags__eval_extraction_metadata stringlengths 344 884 | model_responses__best_of_n_atags__eval_evaluation_metadata stringclasses 40
values | model_responses__best_of_n_atags__internal_answers__eval_is_correct listlengths 4 4 | model_responses__best_of_n_atags__internal_answers__eval_extracted_answers listlengths 4 4 | model_responses__best_of_n_atags__internal_answers__eval_extraction_metadata stringlengths 546 32.5k | model_responses__best_of_n_atags__internal_answers__eval_evaluation_metadata stringlengths 182 10.2k | model_responses__best_of_n_atags__metrics dict | eval_date stringdate 2025-10-27 00:00:00 2025-10-27 00:00:00 | split stringclasses 1
value | revision_name stringclasses 1
value | model_path stringclasses 1
value | checkpoint_step int64 0 0 | stage_name stringclasses 1
value | stage_number int64 1 1 | timestamp stringdate 2025-10-27 04:53:59 2025-10-27 04:53:59 | eval_repo_id stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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\n1. **Persia**: This refers to Iran, which is not typically associated with keeping rugs.\n2. **Desk**: A rug on a desk might look cluttered and impractical for daily use.\n3. **Table**: Similar to a desk, placi... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
true,
true,
false,
true
] | [
"D",
"D",
"E",
"D"
] | [{"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1293, "span_end": 1294, "original_span": "D"}, {"extraction_type": "final", "total_spans_found": 4, "non_overlapping_spans": 4, "span_start": 4358, "span_end": 4361, "original_span": "D"}, {"extraction_type": "final", "total... | [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": true}] | [
[
false,
true
],
[
true,
false,
false,
true
],
[
false,
false
],
[
true,
false,
true,
true
]
] | [
[
"HALL",
"D"
],
[
"D",
"Living room",
"Living room",
"D"
],
[
"E",
"E"
],
[
"D",
"LIVING ROOM",
"D",
"D"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1017, "span_text": "HALL", "extraction_type": "internal", "span_start": 1017, "span_end": 1021, "original_span": "HALL"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1293, "span_text": "D", "extraction_type": "internal", "span_start": 129... | [[{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": true}], [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "... | {
"flips_by": [
0,
1,
0,
1
],
"flips_total": 2,
"num_correct": 3,
"pass_at_n": 1,
"percent_correct": 0.75,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
1,
... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635106 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
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, we need to determine where Danny would find an old film that has been sealed up. Let's analyze each option:\n\nA. Clingfilm - This is used for packaging food or other items and does not typically contain films.\nB. Disneyland - While it might seem like a place with lots of... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
true,
false,
false,
false
] | [
"D",
"C",
"C",
"A"
] | [{"extraction_type": "final", "total_spans_found": 1, "non_overlapping_spans": 1, "span_start": 940, "span_end": 941, "original_span": "D"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1796, "span_end": 1797, "original_span": "C"}, {"extraction_type": "final", "total_s... | [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}] | [
[
true
],
[
false,
false
],
[
false
],
[
false
]
] | [
[
"D"
],
[
"A (clingfilm)",
"C"
],
[
"C"
],
[
"A"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 940, "span_text": "D", "extraction_type": "internal", "span_start": 940, "span_end": 941, "original_span": "D"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1593, "span_text": "A (clingfilm)", "extraction_type": "internal", "span_start"... | [[{"evaluation_method": "legacy", "legacy_result": true}], [{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}], [{"evaluation_method": "legacy", "legacy_result": false}], [{"evaluation_method": "legacy", "legacy_result": false}]] | {
"flips_by": [
0,
0,
0,
0
],
"flips_total": 0,
"num_correct": 1,
"pass_at_n": 1,
"percent_correct": 0.25,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
1,
... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635115 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
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, we need to determine which category Earth belongs to among the given options:\n\n1. **Tree**: Trees are living organisms and do not fit into any of the provided categories.\n2. **Orbit**: An orbit refers to the path around another body, like planets orbiting stars. However... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
false,
false,
true,
true
] | [
"A",
null,
"C",
"C"
] | [{"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1705, "span_end": 1706, "original_span": "A"}, {"extraction_type": "final"}, {"extraction_type": "final", "total_spans_found": 3, "non_overlapping_spans": 3, "span_start": 4158, "span_end": 4161, "original_span": "C"}, {"ext... | [{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "response_processor", "reason": "no_extracted_answer", "extraction_result": "{'extraction_type': 'final'}"}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}] | [
[
false,
false
],
[],
[
true,
false,
true
],
[
true
]
] | [
[
"B",
"A"
],
[],
[
"C",
"Solar System",
"C"
],
[
"C"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 939, "span_text": "B", "extraction_type": "internal", "span_start": 939, "span_end": 942, "original_span": "B"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1705, "span_text": "A", "extraction_type": "internal", "span_start": 1705, "span_... | [[{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}], [], [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": true}], [{"evaluation_method": "lega... | {
"flips_by": [
0,
0,
1,
0
],
"flips_total": 1,
"num_correct": 2,
"pass_at_n": 1,
"percent_correct": 0.5,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
1,
1... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635117 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
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 determine what someone who operates a vehicle while intoxicated might face as a result, let's analyze each option:\n\nA - Punish: This refers to legal consequences but doesn't directly address the act of operating a vehicle.\nB - Arrest: While arrests can occur due to impaired driving offense... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
true,
false,
false,
true
] | [
"D",
"C",
"A",
"D"
] | [{"extraction_type": "final", "total_spans_found": 3, "non_overlapping_spans": 3, "span_start": 1725, "span_end": 1726, "original_span": "D"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 2649, "span_end": 2652, "original_span": "C"}, {"extraction_type": "final", "total... | [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": true}] | [
[
true,
true,
true
],
[
true,
false
],
[
true,
false
],
[
true
]
] | [
[
"D",
"D",
"D"
],
[
"D",
"C"
],
[
"D",
"A"
],
[
"D"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 977, "span_text": "D", "extraction_type": "internal", "span_start": 977, "span_end": 978, "original_span": "D"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1661, "span_text": "D", "extraction_type": "internal", "span_start": 1661, "span_... | [[{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}], [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": false}], [{"evaluation_method": "legacy", "... | {
"flips_by": [
0,
1,
1,
0
],
"flips_total": 2,
"num_correct": 2,
"pass_at_n": 1,
"percent_correct": 0.5,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
1,
1... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635119 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
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 | [
"<think>\n<sample>\nTo solve this problem, let's break down the sentence and analyze each part:\n\n1. \"The town house went right to the curb\" - This tells us that something has reached its boundary or limit.\n2. \"a slot effectively made a mailbox of\" - Here, we see that some kind of slot (likely an opening) has... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
false,
false,
false,
false
] | [
"A",
"E",
"D",
"A"
] | [{"extraction_type": "final", "total_spans_found": 3, "non_overlapping_spans": 3, "span_start": 1866, "span_end": 1867, "original_span": "A"}, {"extraction_type": "final", "total_spans_found": 3, "non_overlapping_spans": 3, "span_start": 2714, "span_end": 2715, "original_span": "E"}, {"extraction_type": "final", "total... | [{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}] | [
[
false,
false,
false
],
[
false,
false,
false
],
[
true,
false
],
[
false,
false,
false,
false
]
] | [
[
"E",
"E",
"A"
],
[
"E",
"Porch",
"E"
],
[
"B",
"D"
],
[
"E",
"street corner",
"street corner",
"A"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1446, "span_text": "E", "extraction_type": "internal", "span_start": 1446, "span_end": 1449, "original_span": "E"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1713, "span_text": "E", "extraction_type": "internal", "span_start": 1713, "sp... | [[{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}], [{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy",... | {
"flips_by": [
0,
0,
1,
0
],
"flips_total": 1,
"num_correct": 0,
"pass_at_n": 0,
"percent_correct": 0,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
1,
1,
... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635120 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
Where is a salt shaker most often kept? | table setting | 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 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 | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"cruet",
"table setting",
"kitchen cupboard",
"cabinet",
"store"
]
} | c2a8c6814ed3e207771cfc23b3b42cf1 | [
"<think>\n<sample>\nTo determine where a salt shaker is most often kept, let's consider each option:\n\n1. **Cruet**: A cruet typically contains various small utensils like a sugar cube holder and a pepper mill but does not usually include a salt shaker.\n2. **Table Setting**: This refers to items placed on the din... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
false,
false,
false,
false
] | [
"A",
"D",
"C",
"C"
] | [{"extraction_type": "final", "total_spans_found": 5, "non_overlapping_spans": 5, "span_start": 3617, "span_end": 3618, "original_span": "A"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1252, "span_end": 1253, "original_span": "D"}, {"extraction_type": "final", "total... | [{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}] | [
[
false,
false,
false,
false,
false
],
[
false,
false
],
[
false,
false
],
[
false,
false
]
] | [
[
"C",
"C",
"C",
"C",
"A"
],
[
"C",
"D"
],
[
"C",
"C"
],
[
"C",
"C"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 928, "span_text": "C", "extraction_type": "internal", "span_start": 928, "span_end": 929, "original_span": "C"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1202, "span_text": "C", "extraction_type": "internal", "span_start": 1202, "span_... | [[{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}], [{"evaluation_method": "legacy",... | {
"flips_by": [
0,
0,
0,
0
],
"flips_total": 0,
"num_correct": 0,
"pass_at_n": 0,
"percent_correct": 0,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
2,
0,
... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635124 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
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 | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"theater",
"train",
"bathhouse",
"dwelling",
"actors and actresses"
]
} | db63bf66a8bfd16e5103cbdd350f5202 | [
"<think>\n<sample>\nTo solve this problem, let's break down the information given:\n\n1. \"Everybody was changing into costumes\" - This indicates that people were preparing for an event involving costumes.\n2. \"in the dressing room\" - Dressing rooms are typically used for getting ready before performances or eve... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
true,
true,
true,
true
] | [
"A",
"A (theater)>",
"A",
"A"
] | [{"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1640, "span_end": 1643, "original_span": "A"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 2595, "span_end": 2608, "original_span": "A (theater)>"}, {"extraction_type": "fin... | [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}] | [
[
true,
true
],
[
true,
true
],
[
false,
false,
true
],
[
false,
false,
true
]
] | [
[
"A",
"A"
],
[
"A",
"A (theater)>"
],
[
"Theater",
"Theater",
"A"
],
[
"(E)",
"theater",
"A"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1243, "span_text": "A", "extraction_type": "internal", "span_start": 1243, "span_end": 1244, "original_span": "A"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1640, "span_text": "A", "extraction_type": "internal", "span_start": 1640, "sp... | [[{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}], [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}], [{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "... | {
"flips_by": [
0,
0,
0,
0
],
"flips_total": 0,
"num_correct": 4,
"pass_at_n": 1,
"percent_correct": 1,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
1,
1,
... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635126 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
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 | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"car stand",
"at hotel",
"own home",
"front door",
"bus depot"
]
} | 1b3d286458a7e7f069222de0376d06da | [
"<think>\n<sample>\nTo determine what someone would likely use a personal key for, let's consider each option:\n\nA. Car stand - This doesn't seem like something that typically requires a personal key.\nB. At hotel - While it might involve keys to rooms, hotels generally provide access cards or electronic locks ins... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
true,
false,
true,
true
] | [
"C",
"A",
"C",
"C"
] | [{"extraction_type": "final", "total_spans_found": 3, "non_overlapping_spans": 3, "span_start": 1968, "span_end": 1969, "original_span": "C"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1030, "span_end": 1031, "original_span": "A"}, {"extraction_type": "final", "total... | [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}] | [
[
true,
true,
true
],
[
true,
false
],
[
true,
true
],
[
true,
true
]
] | [
[
"C",
"C",
"C"
],
[
"C",
"A"
],
[
"C",
"C"
],
[
"C",
"C"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 823, "span_text": "C", "extraction_type": "internal", "span_start": 823, "span_end": 826, "original_span": "C"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1745, "span_text": "C", "extraction_type": "internal", "span_start": 1745, "span_... | [[{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}], [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": false}], [{"evaluation_method": "legacy", "... | {
"flips_by": [
0,
1,
0,
0
],
"flips_total": 1,
"num_correct": 3,
"pass_at_n": 1,
"percent_correct": 0.75,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
2,
... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635130 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
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 finished, give your answer in this format: <answer>(letter choice)</answer>.\n\n# Problem\nWhat does playing soccer and winning lead to?\n\n# Answer Choices\nA - excitement\nB - getting tired\nC - overtime\nD - anger\n... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["excitement", "getting tired", "overtime", "anger", "fights"]}, "answer_key": "A", "answer_index": 0, "task_source": "csqa", "id": "64ab884bd870f6f68146636b4cce921c"} | test | 0 | A | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"excitement",
"getting tired",
"overtime",
"anger",
"fights"
]
} | 64ab884bd870f6f68146636b4cce921c | [
"<think>\n<sample>\nTo determine what playing soccer and winning leads to, let's consider each option:\n\nA. Excitement - While victory can bring joy and excitement, it doesn't directly follow from simply playing soccer.\nB. Getting tired - This could be a consequence of intense physical exertion during the game bu... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
true,
true,
true,
true
] | [
"A",
"A",
"A",
"A"
] | [{"extraction_type": "final", "total_spans_found": 4, "non_overlapping_spans": 4, "span_start": 5266, "span_end": 5267, "original_span": "A"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1208, "span_end": 1211, "original_span": "A"}, {"extraction_type": "final", "total... | [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": true}] | [
[
true,
false,
false,
true
],
[
true,
true
],
[
true,
true,
true
],
[
false,
true,
false,
true,
true
]
] | [
[
"A",
"excitement",
"excitement",
"A"
],
[
"A",
"A"
],
[
"A",
"A",
"A"
],
[
"A D",
"A",
"A B",
"A - excitement",
"A"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1689, "span_text": "A", "extraction_type": "internal", "span_start": 1689, "span_end": 1690, "original_span": "A"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 4157, "span_text": "excitement", "extraction_type": "internal", "span_start": ... | [[{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": true}], [{"evaluation_method": "legacy", "legacy_result": true}, {"evaluation_method": "legacy", "l... | {
"flips_by": [
1,
0,
0,
1
],
"flips_total": 2,
"num_correct": 4,
"pass_at_n": 1,
"percent_correct": 1,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
2,
1,
... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635132 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
During the winter hunt he could hear every motion in the woods, this was because of the what of everything? | stillness | 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\nDuring the winter hunt he could hear every motion in the woods, this was because of the what of everything?\n\n# Answer Choices... | [] | [] | {"choices": {"label": ["A", "B", "C", "D", "E"], "text": ["being still", "silence", "stationary", "stillness", "standing still"]}, "answer_key": "D", "answer_index": 3, "task_source": "csqa", "id": "8b2af2d865b7dc500427786c846eacaf"} | test | 3 | D | {
"label": [
"A",
"B",
"C",
"D",
"E"
],
"text": [
"being still",
"silence",
"stationary",
"stillness",
"standing still"
]
} | 8b2af2d865b7dc500427786c846eacaf | [
"<think>\n<sample>\nTo solve this logic puzzle, let's break down the question and analyze each option:\n\n1. **Understanding the Context**: The statement says that during the winter hunt, he could hear every motion in the woods.\n - This implies there were no disturbances or movements within the forest.\n\n2. **A... | [
false,
false,
false,
false
] | [
"",
"",
"",
""
] | {
"api_url": "http://10.32.37.31:9080/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 16384,
"n": 1,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vll... | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft",
"n_responses": 4
} | [
false,
false,
false,
true
] | [
"A",
"E",
"A",
"D"
] | [{"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1205, "span_end": 1206, "original_span": "A"}, {"extraction_type": "final", "total_spans_found": 6, "non_overlapping_spans": 6, "span_start": 6035, "span_end": 6036, "original_span": "E"}, {"extraction_type": "final", "total... | [{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": true}] | [
[
false,
false
],
[
false,
false,
false,
false,
false,
false
],
[
true,
false,
false
],
[
false,
false,
false,
false,
false,
true
]
] | [
[
"C",
"A"
],
[
"B",
"E",
"E",
"Standing still",
"Standing still",
"E"
],
[
"D",
"standing still",
"A"
],
[
"S",
"B",
"B",
"B",
"A",
"D"
]
] | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1151, "span_text": "C", "extraction_type": "internal", "span_start": 1151, "span_end": 1154, "original_span": "C"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1205, "span_text": "A", "extraction_type": "internal", "span_start": 1205, "sp... | [[{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}], [{"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy", "legacy_result": false}, {"evaluation_method": "legacy",... | {
"flips_by": [
0,
0,
1,
0
],
"flips_total": 1,
"num_correct": 1,
"pass_at_n": 1,
"percent_correct": 0.25,
"skill_count": {
"answer_revision": [
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0
],
"reflect_close": [
0,
... | 2025-10-27 | test | main | TAUR-dev/M-sft_exp_1e_zayneprompts_v2-sft | 0 | eval_sft | 1 | 2025-10-27T04:53:59.635135 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA-eval_sft |
End of preview. Expand in Data Studio
Experiment Tracker: FinEval_16k_fulleval_3args_ours_sft-commonsenseQA
Experiment Description: Evaluation experiment for task commonsenseQA from FinEval_16k_fulleval_3args_ours_sft
Start Time: 2025-10-27T04:32:13.588180
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours_sft-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_ours_sft-commonsenseQA__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours_sft-commonsenseQA__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours_sft-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_ours_sft-commonsenseQA - {stage_name} - {SFT/RL}
Generated by SkillFactory Experiment Management System All artifacts uploaded immediately as stages complete with perfect data provenance
- Downloads last month
- 5