question stringlengths 7 989 | answer stringlengths 0 28 | task_config stringclasses 15 values | task_source stringclasses 6 values | prompt listlengths 1 1 | model_responses listlengths 0 0 | model_responses__eval_is_correct listlengths 0 0 | all_other_columns stringlengths 102 6.44k | original_split stringclasses 1 value | acronym stringclasses 341 values | answer_index int64 0 4 ⌀ | answer_key stringclasses 5 values | choices dict | difficulty stringclasses 1 value | domain stringclasses 1 value | evaluation_type stringclasses 1 value | expected_answer_format stringclasses 1 value | formed_acronym stringclasses 341 values | id stringclasses 200 values | length int64 4 8 ⌀ | letters stringclasses 500 values | metadata stringlengths 2 158 ⌀ | original_answer stringclasses 100 values | prompt__few_shot listlengths 2 17 ⌀ | source stringclasses 501 values | task_type stringclasses 1 value | variant stringclasses 1 value | word_count int64 4 8 ⌀ | words listlengths 4 8 ⌀ | model_responses__best_of_n_atags listlengths 16 16 | model_responses__best_of_n_atags__finish_reason_length_flags listlengths 16 16 | model_responses__best_of_n_atags__length_partial_responses listlengths 16 16 | 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 16 16 | model_responses__best_of_n_atags__eval_extracted_answers listlengths 16 16 | model_responses__best_of_n_atags__eval_extraction_metadata stringlengths 1.31k 2.76k | model_responses__best_of_n_atags__eval_evaluation_metadata stringlengths 896 2.88k | model_responses__best_of_n_atags__internal_answers__eval_is_correct listlengths 16 16 | model_responses__best_of_n_atags__internal_answers__eval_extracted_answers listlengths 16 16 | model_responses__best_of_n_atags__internal_answers__eval_extraction_metadata stringlengths 3.51k 40.7k | model_responses__best_of_n_atags__internal_answers__eval_evaluation_metadata stringlengths 1.07k 26.2k | model_responses__best_of_n_atags__metrics dict | eval_date stringdate 2025-10-13 00:00:00 2025-10-13 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 2025-10-13 13:58:01 2025-10-13 13:58:01 | eval_repo_id stringclasses 1 value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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
Using the numbers in the list [73, 48], create an equation that equals 121. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Your solution should include a series of steps "Step X:" where each step is a mathematical operation and the final step ultimately leads to the target number or it should be a single equation that results in the target.
Give your answer in the following format:
<answer>
(your answer)
</answer>
Where "(your answer)" is the list of steps to reach the target number or it should be a single equation that results in the target.
For example:
If the list of numbers was [1, 2, 3] and the target was 1, you could write:
<answer>
Step 1: 1 + 2 = 3
Step 2: 3 / 3 = 1
</answer>
or
<answer>
(1 + 2) / 3
</answer>
Let's think step by step. | 48 + 73 | countdown_2arg | countdown | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nUsing the numbers in the list [73, 48], create an equation that equals 121. You can use basic arithmetic operations (+, -, *, /) ... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6756, \"numbers\": [73, 48], \"target\": 121, \"expression\": \"48 + 73\"}"} | test | null | null | null | null | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6756, "numbers": [73, 48], "target": 121, "expression": "48 + 73"} | null | null | null | null | null | null | null | [
"<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [73, 48] using basic arithmetic operations (addition, subtraction, multiplication, division) such that their sum equals 121. Let's try different combinations:\n\n1. **Step 1:** Start by adding the two numbers.\n - \\( 73 + 48 = 121 \\... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {
"api_url": "http://127.0.0.1:54095/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 4096,
"n": 16,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240",
"prompt": [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nUsing the numbers in the list [73, 48], create an equation that equals 121. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Your solution should include a series of steps \"Step X:\" where each step is a mathematical operation and the final step ultimately leads to the target number or it should be a single equation that results in the target.\n\nGive your answer in the following format:\n<answer>\n(your answer)\n</answer>\n\nWhere \"(your answer)\" is the list of steps to reach the target number or it should be a single equation that results in the target. \n\nFor example:\nIf the list of numbers was [1, 2, 3] and the target was 1, you could write:\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>\n\nor \n\n<answer>\n(1 + 2) / 3\n</answer>\n\nLet's think step by step.",
"role": "user"
}
]
} | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240",
"n_responses": 16
} | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | [
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)",
"(73 + 48)"
] | [{"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 647, "span_end": 658, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 647, "span_end": 658, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 647, "span_end": 658, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}] | [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}] | [
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
tr... | [
[
"(73 + 48)",
"(73 + 48)"
],
[
"(73 + 48)",
"(73 + 48)"
],
[
"(73 + 48)",
"(73 + 48)"
],
[
"(73 + 48)",
"(73 + 48)"
],
[
"(73 + 48)",
"(73 + 48)"
],
[
"(73 + 48)",
"(73 + 48)"
],
[
"(73 + 48)",
"(73 + 48)"
],
[
"(73 + 48)",
... | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 438, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 438, "span_end": 449, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 647, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 647, "span_end": 658, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 438, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 438, "span_end": 449, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 647, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 647, "span_end": 658, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 438, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 438, "span_end": 449, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 647, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 647, "span_end": 658, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 419, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 419, "span_end": 430, "original_span": "(73 + 48)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 628, "span_text": "(73 + 48)", "extraction_type": "internal", "span_start": 628, "span_end": 639, "original_span": "(73 + 48)"}]] | [[{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}], [{"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}, {"is_correct": true, "error": null, "answer_block": "(73 + 48)", "final_answer": 121.0}]] | {
"flips_by": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"flips_total": 0,
"num_correct": 16,
"pass_at_n": 1,
"percent_correct": 1,
"skill_count": {
"answer_revision": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"reflect_close": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"reflect_open": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"reflection_sbon": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"sample_close": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"sample_open": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"vote_close": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"vote_open": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"voting": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
},
"total_responses": 16
} | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326391 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
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
Using the numbers in the list [14, 54], create an equation that equals 756. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Your solution should include a series of steps "Step X:" where each step is a mathematical operation and the final step ultimately leads to the target number or it should be a single equation that results in the target.
Give your answer in the following format:
<answer>
(your answer)
</answer>
Where "(your answer)" is the list of steps to reach the target number or it should be a single equation that results in the target.
For example:
If the list of numbers was [1, 2, 3] and the target was 1, you could write:
<answer>
Step 1: 1 + 2 = 3
Step 2: 3 / 3 = 1
</answer>
or
<answer>
(1 + 2) / 3
</answer>
Let's think step by step. | 14*54 | countdown_2arg | countdown | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nUsing the numbers in the list [14, 54], create an equation that equals 756. You can use basic arithmetic operations (+, -, *, /) ... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 6685, \"numbers\": [14, 54], \"target\": 756, \"expression\": \"14*54\"}"} | test | null | null | null | null | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 6685, "numbers": [14, 54], "target": 756, "expression": "14*54"} | null | null | null | null | null | null | null | [
"<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [14, 54] using basic arithmetic operations (addition, subtraction, multiplication, division) such that their sum equals 756. Let's try different combinations:\n\n1. **Step 1:** Start by adding 54 and 14.\n - \\( 54 + 14 = 68 \\)\n\n2.... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {
"api_url": "http://127.0.0.1:54095/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 4096,
"n": 16,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240",
"prompt": [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nUsing the numbers in the list [14, 54], create an equation that equals 756. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Your solution should include a series of steps \"Step X:\" where each step is a mathematical operation and the final step ultimately leads to the target number or it should be a single equation that results in the target.\n\nGive your answer in the following format:\n<answer>\n(your answer)\n</answer>\n\nWhere \"(your answer)\" is the list of steps to reach the target number or it should be a single equation that results in the target. \n\nFor example:\nIf the list of numbers was [1, 2, 3] and the target was 1, you could write:\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>\n\nor \n\n<answer>\n(1 + 2) / 3\n</answer>\n\nLet's think step by step.",
"role": "user"
}
]
} | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240",
"n_responses": 16
} | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | [
"(14 * 54)",
"(54 * 14)",
"(14 * 54)",
"(54 * 14)",
"(14 * 54)",
"(54 * 14)",
"(54 * 14)",
"(14 * 54)",
"(54 * 14)",
"(54 * 14)",
"(14 * 54)",
"(54 * 14)",
"(14 * 54)",
"(14 * 54)",
"(14 * 54)",
"(14 * 54)"
] | [{"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1210, "span_end": 1221, "original_span": "(14 * 54)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1016, "span_end": 1027, "original_span": "(54 * 14)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1220, "span_end": 1231, "original_span": "(14 * 54)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1029, "span_end": 1040, "original_span": "(54 * 14)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1408, "span_end": 1419, "original_span": "(14 * 54)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1029, "span_end": 1040, "original_span": "(54 * 14)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1017, "span_end": 1028, "original_span": "(54 * 14)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1221, "span_end": 1232, "original_span": "(14 * 54)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1017, "span_end": 1028, "original_span": "(54 * 14)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1029, "span_end": 1040, "original_span": "(54 * 14)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1209, "span_end": 1220, "original_span": "(14 * 54)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1029, "span_end": 1040, "original_span": "(54 * 14)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1220, "span_end": 1231, "original_span": "(14 * 54)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1220, "span_end": 1231, "original_span": "(14 * 54)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1221, "span_end": 1232, "original_span": "(14 * 54)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1221, "span_end": 1232, "original_span": "(14 * 54)"}] | [{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}] | [
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
tr... | [
[
"(14 * 54)",
"(14 * 54)"
],
[
"(54 * 14)",
"(54 * 14)"
],
[
"(14 * 54)",
"(14 * 54)"
],
[
"(54 * 14)",
"(54 * 14)"
],
[
"(14 * 54)",
"(14 * 54)"
],
[
"(54 * 14)",
"(54 * 14)"
],
[
"(54 * 14)",
"(54 * 14)"
],
[
"(14 * 54)",
... | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1001, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1001, "span_end": 1012, "original_span": "(14 * 54)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1210, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1210, "span_end": 1221, "original_span": "(14 * 54)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 807, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 807, "span_end": 818, "original_span": "(54 * 14)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1016, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 1016, "span_end": 1027, "original_span": "(54 * 14)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1011, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1011, "span_end": 1022, "original_span": "(14 * 54)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1220, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1220, "span_end": 1231, "original_span": "(14 * 54)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 820, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 820, "span_end": 831, "original_span": "(54 * 14)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1029, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 1029, "span_end": 1040, "original_span": "(54 * 14)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1199, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1199, "span_end": 1210, "original_span": "(14 * 54)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1408, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1408, "span_end": 1419, "original_span": "(14 * 54)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 820, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 820, "span_end": 831, "original_span": "(54 * 14)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1029, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 1029, "span_end": 1040, "original_span": "(54 * 14)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 808, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 808, "span_end": 819, "original_span": "(54 * 14)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1017, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 1017, "span_end": 1028, "original_span": "(54 * 14)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1012, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1012, "span_end": 1023, "original_span": "(14 * 54)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1221, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1221, "span_end": 1232, "original_span": "(14 * 54)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 808, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 808, "span_end": 819, "original_span": "(54 * 14)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1017, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 1017, "span_end": 1028, "original_span": "(54 * 14)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 820, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 820, "span_end": 831, "original_span": "(54 * 14)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1029, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 1029, "span_end": 1040, "original_span": "(54 * 14)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1000, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1000, "span_end": 1011, "original_span": "(14 * 54)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1209, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1209, "span_end": 1220, "original_span": "(14 * 54)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 820, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 820, "span_end": 831, "original_span": "(54 * 14)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1029, "span_text": "(54 * 14)", "extraction_type": "internal", "span_start": 1029, "span_end": 1040, "original_span": "(54 * 14)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1011, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1011, "span_end": 1022, "original_span": "(14 * 54)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1220, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1220, "span_end": 1231, "original_span": "(14 * 54)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1011, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1011, "span_end": 1022, "original_span": "(14 * 54)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1220, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1220, "span_end": 1231, "original_span": "(14 * 54)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1012, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1012, "span_end": 1023, "original_span": "(14 * 54)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1221, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1221, "span_end": 1232, "original_span": "(14 * 54)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1012, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1012, "span_end": 1023, "original_span": "(14 * 54)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1221, "span_text": "(14 * 54)", "extraction_type": "internal", "span_start": 1221, "span_end": 1232, "original_span": "(14 * 54)"}]] | [[{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(54 * 14)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}], [{"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}, {"is_correct": true, "error": null, "answer_block": "(14 * 54)", "final_answer": 756.0}]] | {
"flips_by": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"flips_total": 0,
"num_correct": 16,
"pass_at_n": 1,
"percent_correct": 1,
"skill_count": {
"answer_revision": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"reflect_close": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"reflect_open": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"reflection_sbon": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"sample_close": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"sample_open": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"vote_close": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"vote_open": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"voting": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
},
"total_responses": 16
} | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326402 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
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
Using the numbers in the list [40, 70], create an equation that equals 110. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Your solution should include a series of steps "Step X:" where each step is a mathematical operation and the final step ultimately leads to the target number or it should be a single equation that results in the target.
Give your answer in the following format:
<answer>
(your answer)
</answer>
Where "(your answer)" is the list of steps to reach the target number or it should be a single equation that results in the target.
For example:
If the list of numbers was [1, 2, 3] and the target was 1, you could write:
<answer>
Step 1: 1 + 2 = 3
Step 2: 3 / 3 = 1
</answer>
or
<answer>
(1 + 2) / 3
</answer>
Let's think step by step. | 40 + 70 | countdown_2arg | countdown | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nUsing the numbers in the list [40, 70], create an equation that equals 110. You can use basic arithmetic operations (+, -, *, /) ... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5824, \"numbers\": [40, 70], \"target\": 110, \"expression\": \"40 + 70\"}"} | test | null | null | null | null | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5824, "numbers": [40, 70], "target": 110, "expression": "40 + 70"} | null | null | null | null | null | null | null | [
"<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [40, 70] using basic arithmetic operations (addition, subtraction, multiplication, division) such that their sum equals 110. Let's try different combinations:\n\n1. **Step 1:** Start by adding 40 and 70.\n - \\( 40 + 70 = 110 \\)\n\nT... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {
"api_url": "http://127.0.0.1:54095/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 4096,
"n": 16,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240",
"prompt": [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nUsing the numbers in the list [40, 70], create an equation that equals 110. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Your solution should include a series of steps \"Step X:\" where each step is a mathematical operation and the final step ultimately leads to the target number or it should be a single equation that results in the target.\n\nGive your answer in the following format:\n<answer>\n(your answer)\n</answer>\n\nWhere \"(your answer)\" is the list of steps to reach the target number or it should be a single equation that results in the target. \n\nFor example:\nIf the list of numbers was [1, 2, 3] and the target was 1, you could write:\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>\n\nor \n\n<answer>\n(1 + 2) / 3\n</answer>\n\nLet's think step by step.",
"role": "user"
}
]
} | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240",
"n_responses": 16
} | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | [
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)",
"(40 + 70)"
] | [{"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 612, "span_end": 623, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 636, "span_end": 647, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 636, "span_end": 647, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 622, "span_end": 633, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 636, "span_end": 647, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 612, "span_end": 623, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 622, "span_end": 633, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 612, "span_end": 623, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 636, "span_end": 647, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 612, "span_end": 623, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 638, "span_end": 649, "original_span": "(40 + 70)"}] | [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}] | [
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
tr... | [
[
"(40 + 70)",
"(40 + 70)"
],
[
"(40 + 70)",
"(40 + 70)"
],
[
"(40 + 70)",
"(40 + 70)"
],
[
"(40 + 70)",
"(40 + 70)"
],
[
"(40 + 70)",
"(40 + 70)"
],
[
"(40 + 70)",
"(40 + 70)"
],
[
"(40 + 70)",
"(40 + 70)"
],
[
"(40 + 70)",
... | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 432, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 432, "span_end": 443, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 641, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 403, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 403, "span_end": 414, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 612, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 612, "span_end": 623, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 427, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 427, "span_end": 438, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 636, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 636, "span_end": 647, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 427, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 427, "span_end": 438, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 636, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 636, "span_end": 647, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 413, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 413, "span_end": 424, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 622, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 622, "span_end": 633, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 427, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 427, "span_end": 438, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 636, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 636, "span_end": 647, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 403, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 403, "span_end": 414, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 612, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 612, "span_end": 623, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 432, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 432, "span_end": 443, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 641, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 413, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 413, "span_end": 424, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 622, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 622, "span_end": 633, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 432, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 432, "span_end": 443, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 641, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 403, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 403, "span_end": 414, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 612, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 612, "span_end": 623, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 427, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 427, "span_end": 438, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 636, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 636, "span_end": 647, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 403, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 403, "span_end": 414, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 612, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 612, "span_end": 623, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 432, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 432, "span_end": 443, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 641, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 432, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 432, "span_end": 443, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 641, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 641, "span_end": 652, "original_span": "(40 + 70)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 429, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 429, "span_end": 440, "original_span": "(40 + 70)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 638, "span_text": "(40 + 70)", "extraction_type": "internal", "span_start": 638, "span_end": 649, "original_span": "(40 + 70)"}]] | [[{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}], [{"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}, {"is_correct": true, "error": null, "answer_block": "(40 + 70)", "final_answer": 110.0}]] | {
"flips_by": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"flips_total": 0,
"num_correct": 16,
"pass_at_n": 1,
"percent_correct": 1,
"skill_count": {
"answer_revision": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"reflect_close": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"reflect_open": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"reflection_sbon": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"sample_close": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"sample_open": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"vote_close": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"vote_open": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"voting": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
},
"total_responses": 16
} | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326404 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
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
Using the numbers in the list [30, 31], create an equation that equals 930. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Your solution should include a series of steps "Step X:" where each step is a mathematical operation and the final step ultimately leads to the target number or it should be a single equation that results in the target.
Give your answer in the following format:
<answer>
(your answer)
</answer>
Where "(your answer)" is the list of steps to reach the target number or it should be a single equation that results in the target.
For example:
If the list of numbers was [1, 2, 3] and the target was 1, you could write:
<answer>
Step 1: 1 + 2 = 3
Step 2: 3 / 3 = 1
</answer>
or
<answer>
(1 + 2) / 3
</answer>
Let's think step by step. | 31*30 | countdown_2arg | countdown | [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nUsing the numbers in the list [30, 31], create an equation that equals 930. You can use basic arithmetic operations (+, -, *, /) ... | [] | [] | {"metadata": "{\"source_dataset\": \"countdown\", \"source_index\": 5930, \"numbers\": [30, 31], \"target\": 930, \"expression\": \"31*30\"}"} | test | null | null | null | null | null | null | null | null | null | null | null | null | {"source_dataset": "countdown", "source_index": 5930, "numbers": [30, 31], "target": 930, "expression": "31*30"} | null | null | null | null | null | null | null | [
"<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [30, 31] using basic arithmetic operations (addition, subtraction, multiplication, division) such that their sum equals 930. Let's try different combinations:\n\n1. **Step 1:** Start by adding 30 and 31.\n - \\( 30 + 31 = 61 \\)\n\n2.... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {
"api_url": "http://127.0.0.1:54095/v1",
"backend": "litellm",
"chat_template_applied": true,
"generation_params": {
"chat_template_applied": true,
"max_tokens": 4096,
"n": 16,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8
},
"model_name": "hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240",
"prompt": [
{
"content": "Answer the following problem. Explain your reasoning step by step. When you are finished, give your answer in this format: <answer>(your answer)</answer>.\n\n# Problem\nUsing the numbers in the list [30, 31], create an equation that equals 930. You can use basic arithmetic operations (+, -, *, /) and each number can only be used once. Your solution should include a series of steps \"Step X:\" where each step is a mathematical operation and the final step ultimately leads to the target number or it should be a single equation that results in the target.\n\nGive your answer in the following format:\n<answer>\n(your answer)\n</answer>\n\nWhere \"(your answer)\" is the list of steps to reach the target number or it should be a single equation that results in the target. \n\nFor example:\nIf the list of numbers was [1, 2, 3] and the target was 1, you could write:\n<answer>\nStep 1: 1 + 2 = 3\nStep 2: 3 / 3 = 1\n</answer>\n\nor \n\n<answer>\n(1 + 2) / 3\n</answer>\n\nLet's think step by step.",
"role": "user"
}
]
} | {
"backend": "litellm",
"model_name": "hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240",
"n_responses": 16
} | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | [
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(30 * 31)",
"(31 * 30)",
"(30 * 31)"
] | [{"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1504, "span_end": 1515, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1312, "span_end": 1323, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1276, "span_end": 1287, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1325, "span_end": 1336, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1278, "span_end": 1289, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1278, "span_end": 1289, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1317, "span_end": 1328, "original_span": "(30 * 31)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1982, "span_end": 1993, "original_span": "(31 * 30)"}, {"extraction_type": "final", "total_spans_found": 2, "non_overlapping_spans": 2, "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}] | [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(31 * 30)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}] | [
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
true,
true
],
[
tr... | [
[
"(30 * 31)",
"(30 * 31)"
],
[
"(30 * 31)",
"(30 * 31)"
],
[
"(30 * 31)",
"(30 * 31)"
],
[
"(30 * 31)",
"(30 * 31)"
],
[
"(30 * 31)",
"(30 * 31)"
],
[
"(30 * 31)",
"(30 * 31)"
],
[
"(30 * 31)",
"(30 * 31)"
],
[
"(30 * 31)",
... | [[{"pattern_used": "answer tag", "confidence": 1.0, "position": 1262, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1262, "span_end": 1273, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1504, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1504, "span_end": 1515, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1111, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1111, "span_end": 1122, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1320, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1111, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1111, "span_end": 1122, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1320, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1103, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1103, "span_end": 1114, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1312, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1312, "span_end": 1323, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1067, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1067, "span_end": 1078, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1276, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1276, "span_end": 1287, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1116, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1116, "span_end": 1127, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1325, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1325, "span_end": 1336, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1111, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1111, "span_end": 1122, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1320, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1111, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1111, "span_end": 1122, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1320, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1111, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1111, "span_end": 1122, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1320, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1111, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1111, "span_end": 1122, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1320, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1069, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1069, "span_end": 1080, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1278, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1278, "span_end": 1289, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1111, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1111, "span_end": 1122, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1320, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1069, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1069, "span_end": 1080, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1278, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1278, "span_end": 1289, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1108, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1108, "span_end": 1119, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1317, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1317, "span_end": 1328, "original_span": "(30 * 31)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1773, "span_text": "(31 * 30)", "extraction_type": "internal", "span_start": 1773, "span_end": 1784, "original_span": "(31 * 30)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1982, "span_text": "(31 * 30)", "extraction_type": "internal", "span_start": 1982, "span_end": 1993, "original_span": "(31 * 30)"}], [{"pattern_used": "answer tag", "confidence": 1.0, "position": 1111, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1111, "span_end": 1122, "original_span": "(30 * 31)"}, {"pattern_used": "answer tag", "confidence": 1.0, "position": 1320, "span_text": "(30 * 31)", "extraction_type": "internal", "span_start": 1320, "span_end": 1331, "original_span": "(30 * 31)"}]] | [[{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(31 * 30)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(31 * 30)", "final_answer": 930.0}], [{"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}, {"is_correct": true, "error": null, "answer_block": "(30 * 31)", "final_answer": 930.0}]] | {
"flips_by": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"flips_total": 0,
"num_correct": 16,
"pass_at_n": 1,
"percent_correct": 1,
"skill_count": {
"answer_revision": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"best_of_n": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"reflect_close": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"reflect_open": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"reflection_sbon": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"sample_close": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"sample_open": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"vote_close": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"vote_open": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"voting": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
},
"total_responses": 16
} | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326405 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 25 + 78 | countdown_2arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 5864, \\\"number(...TRUNCATED) | test | null | null | null | null | null | null | null | null | null | null | null | null | "{\"source_dataset\": \"countdown\", \"source_index\": 5864, \"numbers\": [25, 78], \"target\": 103,(...TRUNCATED) | null | null | null | null | null | null | null | ["<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [25, 78] using basi(...TRUNCATED) | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {"api_url":"http://127.0.0.1:54095/v1","backend":"litellm","chat_template_applied":true,"generation_(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240","(...TRUNCATED) | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | ["(78 + 25)","(25 + 78)","(25 + 78)","(78 + 25)","(78 + 25)","(25 + 78)","(25 + 78)","(25 + 78)","(2(...TRUNCATED) | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(78 + 25)\", \"final_answer\": 103.0},(...TRUNCATED) | [[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[tr(...TRUNCATED) | [["(78 + 25)","(78 + 25)"],["(25 + 78)","(25 + 78)"],["(25 + 78)","(25 + 78)"],["(78 + 25)","(78 + 2(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 403, \"span_text\": \"(78 +(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(78 + 25)\", \"final_answer\": 103.0}(...TRUNCATED) | {"flips_by":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"flips_total":0,"num_correct":16,"pass_at_n":1,"percen(...TRUNCATED) | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326407 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 76 + 85 | countdown_2arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 6120, \\\"number(...TRUNCATED) | test | null | null | null | null | null | null | null | null | null | null | null | null | "{\"source_dataset\": \"countdown\", \"source_index\": 6120, \"numbers\": [85, 76], \"target\": 161,(...TRUNCATED) | null | null | null | null | null | null | null | ["<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [85, 76] using basi(...TRUNCATED) | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {"api_url":"http://127.0.0.1:54095/v1","backend":"litellm","chat_template_applied":true,"generation_(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240","(...TRUNCATED) | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | ["(85 + 76)","(85 + 76)","(85 + 76)","(85 + 76)","(85 + 76)","(85 + 76)","(85 + 76)","(85 + 76)","(8(...TRUNCATED) | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(85 + 76)\", \"final_answer\": 161.0},(...TRUNCATED) | [[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[tr(...TRUNCATED) | [["(85 + 76)","(85 + 76)"],["(85 + 76)","(85 + 76)"],["(85 + 76)","(85 + 76)"],["(85 + 76)","(85 + 7(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 433, \"span_text\": \"(85 +(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(85 + 76)\", \"final_answer\": 161.0}(...TRUNCATED) | {"flips_by":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"flips_total":0,"num_correct":16,"pass_at_n":1,"percen(...TRUNCATED) | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326408 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 45 + 75 | countdown_2arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 5533, \\\"number(...TRUNCATED) | test | null | null | null | null | null | null | null | null | null | null | null | null | "{\"source_dataset\": \"countdown\", \"source_index\": 5533, \"numbers\": [45, 75], \"target\": 120,(...TRUNCATED) | null | null | null | null | null | null | null | ["<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [45, 75] using basi(...TRUNCATED) | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {"api_url":"http://127.0.0.1:54095/v1","backend":"litellm","chat_template_applied":true,"generation_(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240","(...TRUNCATED) | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | ["(45 + 75)","(45 + 75)","(45 + 75)","(45 + 75)","(45 + 75)","(45 + 75)","(45 + 75)","(45 + 75)","(4(...TRUNCATED) | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(45 + 75)\", \"final_answer\": 120.0},(...TRUNCATED) | [[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[tr(...TRUNCATED) | [["(45 + 75)","(45 + 75)"],["(45 + 75)","(45 + 75)"],["(45 + 75)","(45 + 75)"],["(45 + 75)","(45 + 7(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 435, \"span_text\": \"(45 +(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(45 + 75)\", \"final_answer\": 120.0}(...TRUNCATED) | {"flips_by":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"flips_total":0,"num_correct":16,"pass_at_n":1,"percen(...TRUNCATED) | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326409 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 14*62 | countdown_2arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 5746, \\\"number(...TRUNCATED) | test | null | null | null | null | null | null | null | null | null | null | null | null | "{\"source_dataset\": \"countdown\", \"source_index\": 5746, \"numbers\": [62, 14], \"target\": 868,(...TRUNCATED) | null | null | null | null | null | null | null | ["<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [62, 14] using basi(...TRUNCATED) | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {"api_url":"http://127.0.0.1:54095/v1","backend":"litellm","chat_template_applied":true,"generation_(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240","(...TRUNCATED) | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | ["(62 * 14)","(62 * 14)","(62 * 14)","(62 * 14)","(62 * 14)","(62 * 14)","(62 * 14)","(62 * 14)","(6(...TRUNCATED) | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(62 * 14)\", \"final_answer\": 868.0},(...TRUNCATED) | [[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[tr(...TRUNCATED) | [["(62 * 14)","(62 * 14)"],["(62 * 14)","(62 * 14)"],["(62 * 14)","(62 * 14)"],["(62 * 14)","(62 * 1(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 828, \"span_text\": \"(62 *(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(62 * 14)\", \"final_answer\": 868.0}(...TRUNCATED) | {"flips_by":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"flips_total":0,"num_correct":16,"pass_at_n":1,"percen(...TRUNCATED) | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326411 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 6*87 | countdown_2arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 5021, \\\"number(...TRUNCATED) | test | null | null | null | null | null | null | null | null | null | null | null | null | "{\"source_dataset\": \"countdown\", \"source_index\": 5021, \"numbers\": [87, 6], \"target\": 522, (...TRUNCATED) | null | null | null | null | null | null | null | ["<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [87, 6] using basic(...TRUNCATED) | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {"api_url":"http://127.0.0.1:54095/v1","backend":"litellm","chat_template_applied":true,"generation_(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240","(...TRUNCATED) | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | ["(87 * 6)","(87 * 6)","(87 * 6)","(87 * 6)","(87 * 6)","(87 * 6)","(87 * 6)","(87 * 6)","(87 * 6)",(...TRUNCATED) | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(87 * 6)\", \"final_answer\": 522.0}, (...TRUNCATED) | [[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[tr(...TRUNCATED) | [["(87 * 6)","(87 * 6)"],["(87 * 6)","(87 * 6)"],["(87 * 6)","(87 * 6)"],["(87 * 6)","(87 * 6)"],["((...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 1002, \"span_text\": \"(87 (...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(87 * 6)\", \"final_answer\": 522.0},(...TRUNCATED) | {"flips_by":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"flips_total":0,"num_correct":16,"pass_at_n":1,"percen(...TRUNCATED) | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326413 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
"Answer the following problem. Explain your reasoning step by step. When you are finished, give your(...TRUNCATED) | 90 + 66 | countdown_2arg | countdown | [{"content":"Answer the following problem. Explain your reasoning step by step. When you are finishe(...TRUNCATED) | [] | [] | "{\"metadata\": \"{\\\"source_dataset\\\": \\\"countdown\\\", \\\"source_index\\\": 6819, \\\"number(...TRUNCATED) | test | null | null | null | null | null | null | null | null | null | null | null | null | "{\"source_dataset\": \"countdown\", \"source_index\": 6819, \"numbers\": [90, 66], \"target\": 156,(...TRUNCATED) | null | null | null | null | null | null | null | ["<think>\n<sample>\nTo solve this problem, we need to combine the given numbers [90, 66] using basi(...TRUNCATED) | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | {"api_url":"http://127.0.0.1:54095/v1","backend":"litellm","chat_template_applied":true,"generation_(...TRUNCATED) | {"backend":"litellm","model_name":"hosted_vllm/TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240","(...TRUNCATED) | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | ["(90 + 66)","(90 + 66)","(90 + 66)","(90 + 66)","(90 + 66)","(90 + 66)","(90 + 66)","(90 + 66)","(9(...TRUNCATED) | "[{\"extraction_type\": \"final\", \"total_spans_found\": 2, \"non_overlapping_spans\": 2, \"span_st(...TRUNCATED) | "[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(90 + 66)\", \"final_answer\": 156.0},(...TRUNCATED) | [[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[true,true],[tr(...TRUNCATED) | [["(90 + 66)","(90 + 66)"],["(90 + 66)","(90 + 66)"],["(90 + 66)","(90 + 66)"],["(90 + 66)","(90 + 6(...TRUNCATED) | "[[{\"pattern_used\": \"answer tag\", \"confidence\": 1.0, \"position\": 433, \"span_text\": \"(90 +(...TRUNCATED) | "[[{\"is_correct\": true, \"error\": null, \"answer_block\": \"(90 + 66)\", \"final_answer\": 156.0}(...TRUNCATED) | {"flips_by":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"flips_total":0,"num_correct":16,"pass_at_n":1,"percen(...TRUNCATED) | 2025-10-13 | test | main | TAUR-dev/M-rl_ours_AT_fixed-rl@checkpoint-step-240 | 0 | eval_rl | 1 | 2025-10-13T13:58:01.326414 | TAUR-dev/D-EVAL__standard_eval_v3__FinEval_RL_AT_ours_fixed_ckpt240-eval_rl |
End of preview. Expand
in Data Studio
Experiment Tracker: FinEval_RL_AT_ours_fixed_ckpt240
Experiment Description: Simple test experiment for Skill Factory workflows.
Start Time: 2025-10-13T10:44:30.179987
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_RL_AT_ours_fixed_ckpt240__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_RL_AT_ours_fixed_ckpt240__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_RL_AT_ours_fixed_ckpt240__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_RL_AT_ours_fixed_ckpt240__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_RL_AT_ours_fixed_ckpt240__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_RL_AT_ours_fixed_ckpt240__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_RL_AT_ours_fixed_ckpt240__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_RL_AT_ours_fixed_ckpt240__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_RL_AT_ours_fixed_ckpt240__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_RL_AT_ours_fixed_ckpt240__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_RL_AT_ours_fixed_ckpt240 - {stage_name} - {SFT/RL}
Generated by SkillFactory Experiment Management System All artifacts uploaded immediately as stages complete with perfect data provenance
- Downloads last month
- 6