question string | answer string | metadata string | prompt list | task_source string | task_config string | choices dict | answer_key string | answer_index int64 | id string | prompt__few_shot list | original_answer string | task_type string | evaluation_type string | source string | variant string | expected_answer_format string | difficulty string | domain string | model_responses__greedy list | prompt__greedy__metadata string | model_responses__greedy__metadata string | model_responses__best_of_n list | prompt__best_of_n__metadata string | model_responses__best_of_n__metadata string | model_responses__budget_forcing list | model_responses__budget_forcing__metadata string | prompt__budget_forcing__metadata string | model_responses__self_reflection list | model_responses__self_reflection__metadata string | prompt__self_reflection__metadata string | llm_extracted_answer_spans_prompt string | model_responses__llm_extracted_answer_spans list | llm_extracted_answer_spans_prompt__llm_extracted_answer_spans__metadata dict | model_responses__llm_extracted_answer_spans__metadata dict | model_responses__greedy__eval_is_correct list | model_responses__greedy__eval_extracted_answers list | model_responses__greedy__eval_extraction_metadata dict | model_responses__greedy__eval_evaluation_metadata list | model_responses__greedy__internal_answers__eval_is_correct list | model_responses__greedy__internal_answers__eval_extracted_answers list | model_responses__greedy__internal_answers__eval_extraction_metadata dict | model_responses__greedy__internal_answers__eval_evaluation_metadata list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
What is the solution to the long multiplication equation below?
10 x 37
Think step by step. | 370 | "{\"arg1\": 10, \"arg2\": 37, \"solution\": 370}" | [
{
"content": "What is the solution to the long multiplication equation below?\n\n10 x 37\n\nThink step by step.",
"role": "user"
}
] | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | [
"To solve this problem, we need to multiply the given numbers [10, 37] using basic arithmetic operations. Here's how we can do it:\n\n1. First, let's try adding the two numbers together:\n 10 + 37 = 47\n\n2. Now, we have 47 left to reach our goal of multiplying to 10 * 37 = 470.\n\n3. To get from 47 to 470, we ne... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 1} | [
"To solve this problem, we need to multiply the given numbers [10, 37] using basic arithmetic operations. Here's how we can do it:\n\n1. First, let's try adding the two numbers together:\n 10 + 37 = 47\n\n2. Now, we have 47 left to reach our goal of multiplying to 10 * 37 = 470.\n\nTherefore, the final step would... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 3} | [
"To solve this problem, we need to multiply the given numbers [10, 37] using basic arithmetic operations. Here's how we can do it:\n\n1. First, let's try adding the two numbers together:\n 10 + 37 = 47\n\n2. Now, we have 47 left to reach our goal of multiplying to 10 * 37 = 470.\n\n3. To get from 47 to 470, we ne... | {"continuation_phrases": ["But I need to verify this.", "Wait! I can double check this answer."], "continuations": [" Let's correct my approach:\n\n - Instead of adding, let's subtract one of the numbers from another to get closer to 10 * 37.\n - If we start with 10 * 37 = 370,\n - Now we need to add 7 more to re... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | [
"To solve this problem, we need to multiply the given numbers [10, 37] using basic arithmetic operations. Here's how we can do it:\n\n1. First, let's try adding the two numbers together:\n 10 + 37 = 47\n\n2. Now, we have 47 left to reach our goal of multiplying to 10 * 37 = 470.\n\n3. To get from 47 to 470, we ne... | {"all_responses": ["To solve this problem, we need to multiply the given numbers [10, 37] using basic arithmetic operations. Here's how we can do it:\n\n1. First, let's try adding the two numbers together:\n 10 + 37 = 47\n\n2. Now, we have 47 left to reach our goal of multiplying to 10 * 37 = 470.\n\n3. To get from 4... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced.
These may be within <answer> tags, \boxed{} values, or just plain text embedded in sentences like "The final answer is:".
Your job is to find these spans and their context... | [
"{\"answer_spans\": [{\"context\": \"Therefore, the final answer is:\", \"answer\": \"(10 + 37) * 10 = 470\"}]}"
] | {
"api_url": "",
"backend": "openai",
"chat_template_applied": false,
"generation_params": {
"temperature": 0
},
"model_name": "gpt-4o-mini",
"prompt": "We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced. \n\nT... | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
"(10 + 37) * 10 = 470"
] | {
"all_spans_summary": [
{
"answer": "(10 + 37) * 10 = 470",
"context": "Therefore, the final answer is:",
"end_line": 14,
"start_line": 14
}
],
"empty_response": false,
"error": null,
"extraction_method": "llm_judge",
"final_span_info": {
"answer": "(10 + 37) * 10 = 470"... | [
{
"answer_block": null,
"comparison_type": null,
"correct_answer": null,
"error": null,
"evaluation_method": null,
"extracted_answer": null,
"final_answer": null,
"is_correct": null,
"is_equivalent": null,
"method": "llm_judge",
"reason": null
}
] | [
[
false
]
] | [
[
"(10 + 37) * 10 = 470"
]
] | {
"empty_response": false,
"error": null,
"extraction_method": "llm_judge",
"internal_spans_detailed": [
{
"answer": "(10 + 37) * 10 = 470",
"context": "Therefore, the final answer is:",
"end_line": 14,
"end_pos": 476,
"start_line": 14,
"start_pos": 438
}
],
"is_f... | [
[
{
"answer_block": null,
"comparison_type": null,
"correct_answer": null,
"error": null,
"evaluation_method": null,
"extracted_answer": null,
"final_answer": null,
"is_correct": null,
"is_equivalent": null,
"method": "llm_judge"
}
]
] |
What is the solution to the long multiplication equation below?
66 x 91
Think step by step. | 6006 | "{\"arg1\": 66, \"arg2\": 91, \"solution\": 6006}" | [
{
"content": "What is the solution to the long multiplication equation below?\n\n66 x 91\n\nThink step by step.",
"role": "user"
}
] | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | [
"To solve this problem, we need to find an equation using the numbers [66, 91] with the operation symbols (+, -, *, /). We want the result to be 58.\n\nStep-by-step reasoning:\n\n1. First, let's try adding two of the numbers together:\n - 66 + 91 = 157\n\n2. Now, we have 157 - 91 = 66 or 157 - 66 = 91 left. Let's... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 1} | [
"To solve this problem, we need to find a combination of the given numbers [66, 91] using basic arithmetic operations (+, -, *, /) such that the result equals 1.\n\nStep-by-step solution:\n\n1. First, let's try adding all three numbers together:\n 66 + 91 = 157\n\nThis does not equal 1, so addition alone won't wo... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 3} | [
"To solve this problem, we need to find an equation using the numbers [66, 91] with the operation symbols (+, -, *, /). We want the result to be 58.\n\nStep-by-step reasoning:\n\n1. First, let's try adding two of the numbers together:\n - 66 + 91 = 157\n\n2. Now, we have 157 - 91 = 66 or 157 - 66 = 91 left. Let's... | {"continuation_phrases": ["However,", "But according to"], "continuations": ["", " my calculations, the correct equation would be:\n\n - 91 - 66 * 1 = 91 - 66 = 25\n\nTherefore, the final answer is:\n\n<answer>\nStep 1: 91 - 66 = 25\nStep 2: 25 * 1 = 25\n</answer>\n\nThis equation uses all three numbers exactly once ... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | [
"To solve this problem, we need to find an equation using the numbers [66, 91] with the operation symbols (+, -, *, /). We want the equation to equal 589.\n\nHere’s how we can break it down:\n\n1. Start with one of the numbers (let's choose 91).\n2. Apply some operations to combine other numbers until we reach our ... | {"all_responses": ["To solve this problem, we need to find an equation using the numbers [66, 91] with the operation symbols (+, -, *, /). We want the equation to equal 589.\n\nHere\u2019s how we can break it down:\n\n1. Start with one of the numbers (let's choose 91).\n2. Apply some operations to combine other numbers... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced.
These may be within <answer> tags, \boxed{} values, or just plain text embedded in sentences like "The final answer is:".
Your job is to find these spans and their context... | [
"{\"answer_spans\": [{\"context\": \"Therefore, the final answer is:\", \"answer\": \"Step 1: 66 * 91 = 5906\"}, {\"context\": \"Step 1: 66 * 91 = 5906\", \"answer\": \"Step 2: 5906 - 157 = 5749\"}, {\"context\": \"Step 2: 5906 - 157 = 5749\", \"answer\": \"Step 3: 5749 - 58 = 5691\"}]}"
] | {
"api_url": "",
"backend": "openai",
"chat_template_applied": false,
"generation_params": {
"temperature": 0
},
"model_name": "gpt-4o-mini",
"prompt": "We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced. \n\nT... | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
"Step 1: 66 * 91 = 5906\nStep 2: 5906 - 157 = 5749\nStep 3: 5749 - 58 = 5691\n\nThis solution attempts to reach close to 58 while respecting the original question format. However, please注意，根据目前的实现情况，并非可以直接得出 exactly 58 的结果。若要精确得到，则可能需要修改某些假设条件或计算方法。（注：其中存在若干次错误计算，请参阅官方解答）"
] | {
"all_spans_summary": [
{
"answer": "Step 1: 66 * 91 = 5906\nStep 2: 5906 - 157 = 5749\nStep 3: 5749 - 58 = 5691\n\nThis solution attempts to reach close to 58 while respecting the original question format. However, please注意，根据目前的实现情况，并非可以直接得出 exactly 58 的结果。若要精确得到，则可能需要修改某些假设条件或计算方法。（注：其中存在若干次错误计算，请参阅官方解答... | [
{
"answer_block": null,
"comparison_type": null,
"correct_answer": null,
"error": null,
"evaluation_method": null,
"extracted_answer": null,
"final_answer": null,
"is_correct": null,
"is_equivalent": null,
"method": "llm_judge",
"reason": null
}
] | [
[
false
]
] | [
[
"Step 1: 66 * 91 = 5906\nStep 2: 5906 - 157 = 5749\nStep 3: 5749 - 58 = 5691\n\nThis solution attempts to reach close to 58 while respecting the original question format. However, please注意，根据目前的实现情况，并非可以直接得出 exactly 58 的结果。若要精确得到，则可能需要修改某些假设条件或计算方法。（注：其中存在若干次错误计算，请参阅官方解答）"
]
] | {
"empty_response": false,
"error": null,
"extraction_method": "llm_judge",
"internal_spans_detailed": [
{
"answer": "Step 1: 66 * 91 = 5906\nStep 2: 5906 - 157 = 5749\nStep 3: 5749 - 58 = 5691\n\nThis solution attempts to reach close to 58 while respecting the original question format. However, pleas... | [
[
{
"answer_block": null,
"comparison_type": null,
"correct_answer": null,
"error": null,
"evaluation_method": null,
"extracted_answer": null,
"final_answer": null,
"is_correct": null,
"is_equivalent": null,
"method": "llm_judge"
}
]
] |
What is the solution to the long multiplication equation below?
36 x 67
Think step by step. | 2412 | "{\"arg1\": 36, \"arg2\": 67, \"solution\": 2412}" | [
{
"content": "What is the solution to the long multiplication equation below?\n\n36 x 67\n\nThink step by step.",
"role": "user"
}
] | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | [
""
] | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 1} | [
"To solve this problem, we need to find a combination of addition, subtraction, multiplication, and division using the numbers [36, 67] that results in the target number 205.\n\nStep-by-step solution:\n\n1. First, let's try adding all three numbers together:\n 36 + 67 + 205 = 205\n\nSo, the final answer is:\n\n<a... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 3} | [
"To solve this problem, we need to find a combination of addition, subtraction, multiplication, or division using the numbers [36, 67] that equals 1. Let's start with some logical steps:\n\n1. First, let's try multiplying two of the numbers together.\n - 36 * 67 = 2288, which is too large.\n\n2. Next, let's consi... | {"continuation_phrases": ["Wait, how?", "But I need to verify this."], "continuations": ["", " \n\n6. Let's re-evaluate our approach:\n - Instead of adding 36 and 67, let's try subtracting 36 from 67:\n - 67 - 36 = 31\n - Now, we have 31 left to reach 1.\n - We can add 36 to 31 to get 67.\n - Finally, we su... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | [
"To solve this problem, we need to find a combination of the given numbers [36, 67] using basic arithmetic operations (+, -, *, /) that results in the target number 209.\n\nStep-by-step solution:\n\n1. First, let's try adding all three numbers together:\n 36 + 67 + 54 = 207\n\n2. We are short by 2 from our target... | {"all_responses": ["To solve this problem, we need to find a combination of the given numbers [36, 67] using basic arithmetic operations (+, -, *, /) that results in the target number 209.\n\nStep-by-step solution:\n\n1. First, let's try adding all three numbers together:\n 36 + 67 + 54 = 207\n\n2. We are short by 2 ... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced.
These may be within <answer> tags, \boxed{} values, or just plain text embedded in sentences like "The final answer is:".
Your job is to find these spans and their context... | [
"{\"answer_spans\": [{\"context\": \"To solve 36 x 67, we can break it down into smaller parts. First, we can multiply 36 by 7 and then by 60.\", \"answer\": \"36 x 7\"}, {\"context\": \"Next, we calculate 36 x 7, which equals 252.\", \"answer\": \"252\"}, {\"context\": \"Now, we calculate 36 x 60. Since 60 is 6 ti... | {
"api_url": "",
"backend": "openai",
"chat_template_applied": false,
"generation_params": {
"temperature": 0
},
"model_name": "gpt-4o-mini",
"prompt": "We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced. \n\nT... | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
null
] | {
"all_spans_summary": null,
"empty_response": true,
"error": null,
"extraction_method": "llm_judge",
"final_span_info": null,
"is_final_of_multiple": false,
"judge_model": "gpt-4.1-mini",
"question_context": true,
"total_spans": 0,
"total_spans_found": null
} | [
{
"answer_block": null,
"comparison_type": null,
"correct_answer": null,
"error": null,
"evaluation_method": null,
"extracted_answer": null,
"final_answer": null,
"is_correct": null,
"is_equivalent": null,
"method": "llm_judge",
"reason": "no_answer"
}
] | [
[]
] | [
[]
] | {
"empty_response": true,
"error": null,
"extraction_method": "llm_judge",
"internal_spans_detailed": [],
"is_final_of_multiple": false,
"judge_model": "gpt-4.1-mini",
"question_context": true,
"span_positions": [],
"total_internal_spans": 0,
"total_spans": 0
} | [
[]
] |
What is the solution to the long multiplication equation below?
43 x 53
Think step by step. | 2279 | "{\"arg1\": 43, \"arg2\": 53, \"solution\": 2279}" | [
{
"content": "What is the solution to the long multiplication equation below?\n\n43 x 53\n\nThink step by step.",
"role": "user"
}
] | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | [
"To solve this problem, we need to find a combination of the given numbers [43, 53] using basic arithmetic operations (+, -, *, /) that results in the target number 2153.\n\nFirst, let's try some simple combinations:\n\nStep 1: Let's start with multiplication since it often helps to get close to our target quickly.... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 1} | [
"To solve this problem, we need to find a combination of the given numbers [43, 53] using basic arithmetic operations (+, -, *, /) that results in the target number 2153.\n\nStep-by-step solution:\n\n1. First, let's try adding all three numbers together:\n 43 + 53 + 90 = 216\n\nThis doesn't equal 2153, so we'll m... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 3} | [
"To solve this problem, we need to find a combination of the given numbers [43, 53] using basic arithmetic operations (+, -, *, /) that results in the target number 2153.\n\nStep-by-step solution:\n\n1. First, let's try adding all three numbers together:\n 43 + 53 + 9 = 105\n\n2. Now, we have 105 left to reach ou... | {"continuation_phrases": ["Wait, this result is", "But to confirm,"], "continuations": [" too high, so we need adjustment.\n\n3. Let's subtract 20 from the previous result to get closer to 2153:\n 2153 - 20 = 2133\n\n4. Now, we need to adjust further to reach exactly 2153. We can use division to get closer:\n 2133 ... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | [
"To solve this problem, we need to find a combination of the given numbers [43, 53] using basic arithmetic operations (+, -, *, /) that results in the target number 219.\n\nStep-by-step solution:\n\n1. First, let's try adding all three numbers together:\n 43 + 53 + 1 = 106\n\n2. This sum is much smaller than our ... | {"all_responses": ["To solve this problem, we need to find a combination of the given numbers [43, 53] using basic arithmetic operations (+, -, *, /) that results in the target number 219.\n\nStep-by-step solution:\n\n1. First, let's try adding all three numbers together:\n 43 + 53 + 1 = 106\n\n2. This sum is much sm... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced.
These may be within <answer> tags, \boxed{} values, or just plain text embedded in sentences like "The final answer is:".
Your job is to find these spans and their context... | [
"{\"answer_spans\": [{\"context\": \"Therefore, the final answer is:\", \"answer\": \"Step 1: 43 * 53 = 2199\\nStep 2: 2199 - 46 = 2153\"}]}"
] | {
"api_url": "",
"backend": "openai",
"chat_template_applied": false,
"generation_params": {
"temperature": 0
},
"model_name": "gpt-4o-mini",
"prompt": "We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced. \n\nT... | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
"Step 1: 43 * 53 = 2199\nStep 2: 2199 - 46 = 2153"
] | {
"all_spans_summary": [
{
"answer": "Step 1: 43 * 53 = 2199\nStep 2: 2199 - 46 = 2153",
"context": "<answer> ... </answer> block with final steps",
"end_line": 20,
"start_line": 17
}
],
"empty_response": false,
"error": null,
"extraction_method": "llm_judge",
"final_span_inf... | [
{
"answer_block": null,
"comparison_type": null,
"correct_answer": null,
"error": null,
"evaluation_method": null,
"extracted_answer": null,
"final_answer": null,
"is_correct": null,
"is_equivalent": null,
"method": "llm_judge",
"reason": null
}
] | [
[
false
]
] | [
[
"Step 1: 43 * 53 = 2199\nStep 2: 2199 - 46 = 2153"
]
] | {
"empty_response": false,
"error": null,
"extraction_method": "llm_judge",
"internal_spans_detailed": [
{
"answer": "Step 1: 43 * 53 = 2199\nStep 2: 2199 - 46 = 2153",
"context": "<answer> ... </answer> block with final steps",
"end_line": 20,
"end_pos": 663,
"start_line": 17,... | [
[
{
"answer_block": null,
"comparison_type": null,
"correct_answer": null,
"error": null,
"evaluation_method": null,
"extracted_answer": null,
"final_answer": null,
"is_correct": null,
"is_equivalent": null,
"method": "llm_judge"
}
]
] |
What is the solution to the long multiplication equation below?
33 x 34
Think step by step. | 1122 | "{\"arg1\": 33, \"arg2\": 34, \"solution\": 1122}" | [
{
"content": "What is the solution to the long multiplication equation below?\n\n33 x 34\n\nThink step by step.",
"role": "user"
}
] | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | [
"To solve this problem, we need to use the numbers [33, 34] and the arithmetic operations (+, -, *, /) to get the target number 1082. We can start by trying different combinations of operations and numbers to see if we can reach the target number.\n\nStep 1: Let's try multiplying 33 and 34 first.\n33 * 34 = 1082\n\... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.0, "top_p": 1.0}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 1} | [
"To solve this problem, we need to use the numbers [33, 34] and the arithmetic operations (+, -, *, /) to get the target number 1082. We can start by trying different combinations of operations and numbers to see if we can reach the target number.\n\nStep 1: Let's try multiplying 33 and 34 first.\n33 * 34 = 1082\n\... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the solution to the long... | {"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "n_responses": 3} | [
"To solve this problem, we need to use the numbers [33, 34] and the arithmetic operations (+, -, *, /) to get the target number 1082. We can start by trying different combinations of operations and numbers to see if we can reach the target number.\n\nStep 1: Let's try multiplying 33 and 34 first.\n33 * 34 = 1082\n\... | {"continuation_phrases": ["However,", "However,"], "continuations": [" we need to ensure that this is the correct combination of operations and numbers.\n\nStep 3: To verify if this is the correct combination, we can try different combinations of operations and numbers and see if we can reach 1082.\n\nAfter trying diff... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | [
"To solve this problem, we need to find a combination of addition, subtraction, multiplication, or division using the numbers [33, 34] that equals 1022. Let's start with some possible combinations:\n\nStep 1: Multiply 33 and 34\n33 * 34 = 1082\n\nThis doesn't equal 1022, so let's try another approach.\n\nStep 2: Ad... | {"all_responses": ["To solve this problem, we need to find a combination of addition, subtraction, multiplication, or division using the numbers [33, 34] that equals 1022. Let's start with some possible combinations:\n\nStep 1: Multiply 33 and 34\n33 * 34 = 1082\n\nThis doesn't equal 1022, so let's try another approach... | {"api_url": "http://127.0.0.1:60790", "backend": "litellm", "chat_template_applied": true, "generation_params": {"chat_template_applied": true, "max_tokens": 4096, "min_tokens": 10, "temperature": 0.7, "top_p": 0.8}, "model_name": "hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft", "prompt": [{"content": "What is the so... | We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced.
These may be within <answer> tags, \boxed{} values, or just plain text embedded in sentences like "The final answer is:".
Your job is to find these spans and their context... | [
"{\"answer_spans\": [{\"context\": \"The final answer is:\", \"answer\": \"Step 1: 33 * 34 = 1082\"}, {\"context\": \"33 * 34 = 1082\", \"answer\": \"1082\"}]}"
] | {
"api_url": "",
"backend": "openai",
"chat_template_applied": false,
"generation_params": {
"temperature": 0
},
"model_name": "gpt-4o-mini",
"prompt": "We gave the following question to a language model. We want you to look through the response it gave and find all the answer spans it produced. \n\nT... | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
"Step 1: 33 * 34 = 1082"
] | {
"all_spans_summary": [
{
"answer": "Step 1: 33 * 34 = 1082",
"context": "<answer> Step 1: 33 * 34 = 1082 </answer>",
"end_line": 10,
"start_line": 10
}
],
"empty_response": false,
"error": null,
"extraction_method": "llm_judge",
"final_span_info": {
"answer": "Step 1: 3... | [
{
"answer_block": null,
"comparison_type": null,
"correct_answer": null,
"error": null,
"evaluation_method": null,
"extracted_answer": null,
"final_answer": null,
"is_correct": null,
"is_equivalent": null,
"method": "llm_judge",
"reason": null
}
] | [
[
false
]
] | [
[
"Step 1: 33 * 34 = 1082"
]
] | {
"empty_response": false,
"error": null,
"extraction_method": "llm_judge",
"internal_spans_detailed": [
{
"answer": "Step 1: 33 * 34 = 1082",
"context": "<answer> Step 1: 33 * 34 = 1082 </answer>",
"end_line": 10,
"end_pos": 440,
"start_line": 10,
"start_pos": 417
}
... | [
[
{
"answer_block": null,
"comparison_type": null,
"correct_answer": null,
"error": null,
"evaluation_method": null,
"extracted_answer": null,
"final_answer": null,
"is_correct": null,
"is_equivalent": null,
"method": "llm_judge"
}
]
] |
What is the solution to the long multiplication equation below?
88 x 45
Think step by step. | 3960 | "{\"arg1\": 88, \"arg2\": 45, \"solution\": 3960}" | [{"content":"What is the solution to the long multiplication equation below?\n\n88 x 45\n\nThink ste(...TRUNCATED) | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | ["To solve this problem, we need to find a combination of the given numbers [88, 45] using basic ari(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | ["To solve this problem, we need to find a combination of the given numbers [88, 45] using basic ari(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | ["To solve this problem, we need to find a combination of the given numbers [88, 45] using basic ari(...TRUNCATED) | "{\"continuation_phrases\": [\"However,\", \"However,\"], \"continuations\": [\" let's verify it ste(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | ["To solve this problem, we need to find a combination of the given numbers [88, 45] using basic ari(...TRUNCATED) | "{\"all_responses\": [\"To solve this problem, we need to find a combination of the given numbers [8(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "We gave the following question to a language model. We want you to look through the response it gav(...TRUNCATED) | ["{\"answer_spans\": [{\"context\": \"Step 1: Start with the product of 88 and 45\\n 88 * 45 = 444(...TRUNCATED) | {"api_url":"","backend":"openai","chat_template_applied":false,"generation_params":{"temperature":0.(...TRUNCATED) | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
"Step 1: 88 * 45 = 4440"
] | {"all_spans_summary":[{"answer":"Step 1: 88 * 45 = 4440","context":"<answer> Step 1: 88 * 45 = 4440 (...TRUNCATED) | [{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED) | [
[
false,
false
]
] | [
[
"Step 1: 88 * 45 = 4440",
"Step 1: 88 * 45 = 4440"
]
] | {"empty_response":false,"error":null,"extraction_method":"llm_judge","internal_spans_detailed":[{"an(...TRUNCATED) | [[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method"(...TRUNCATED) |
What is the solution to the long multiplication equation below?
53 x 13
Think step by step. | 689 | "{\"arg1\": 53, \"arg2\": 13, \"solution\": 689}" | [{"content":"What is the solution to the long multiplication equation below?\n\n53 x 13\n\nThink ste(...TRUNCATED) | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | ["To solve this problem, we need to find a combination of the given numbers [53, 13] using basic ari(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | ["To solve this problem, we need to find a combination of the given numbers [53, 13] using basic ari(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | ["To solve this problem, we need to find a combination of the given numbers [53, 13] using basic ari(...TRUNCATED) | "{\"continuation_phrases\": [\"Wait, let me try\", \"However,\"], \"continuations\": [\" smaller ste(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | ["To solve this problem, we need to find a combination of the given numbers [53, 13] using basic ari(...TRUNCATED) | "{\"all_responses\": [\"To solve this problem, we need to find a combination of the given numbers [5(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "We gave the following question to a language model. We want you to look through the response it gav(...TRUNCATED) | ["{\"answer_spans\": [{\"context\": \"Therefore, the final solution is:\", \"answer\": \"Step 1: 53 (...TRUNCATED) | {"api_url":"","backend":"openai","chat_template_applied":false,"generation_params":{"temperature":0.(...TRUNCATED) | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
"Step 1: 53 + (66 - 13) = 53"
] | {"all_spans_summary":[{"answer":"Step 1: 53 + (66 - 13) = 53","context":"<answer> Step 1: 53 + (66 -(...TRUNCATED) | [{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED) | [
[
false
]
] | [
[
"Step 1: 53 + (66 - 13) = 53"
]
] | {"empty_response":false,"error":null,"extraction_method":"llm_judge","internal_spans_detailed":[{"an(...TRUNCATED) | [[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method"(...TRUNCATED) |
What is the solution to the long multiplication equation below?
87 x 87
Think step by step. | 7569 | "{\"arg1\": 87, \"arg2\": 87, \"solution\": 7569}" | [{"content":"What is the solution to the long multiplication equation below?\n\n87 x 87\n\nThink ste(...TRUNCATED) | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | ["To solve this problem, we need to find a combination of addition, subtraction, multiplication, or (...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | ["To solve this problem, we need to find a combination of addition, subtraction, multiplication, or (...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | ["To solve this problem, we need to find a combination of addition, subtraction, multiplication, or (...TRUNCATED) | "{\"continuation_phrases\": [\"But according to\", \"Wait! I can double check this answer.\"], \"con(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | ["To solve this problem, we need to find a combination of addition, subtraction, multiplication, or (...TRUNCATED) | "{\"all_responses\": [\"To solve this problem, we need to find a combination of addition, subtractio(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "We gave the following question to a language model. We want you to look through the response it gav(...TRUNCATED) | ["{\"answer_spans\": [{\"context\": \"Final Answer:\", \"answer\": \"Step 1: 87 + 87 = 174\"}, {\"co(...TRUNCATED) | {"api_url":"","backend":"openai","chat_template_applied":false,"generation_params":{"temperature":0.(...TRUNCATED) | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
"Step 1: 87 + 87 = 174\nStep 2: 174 * 4 = 696 (This is close but still less than 7569)"
] | {"all_spans_summary":[{"answer":"Step 1: 87 + 87 = 174\nStep 2: 174 * 4 = 696 (This is close but sti(...TRUNCATED) | [{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED) | [
[
false
]
] | [
[
"Step 1: 87 + 87 = 174\nStep 2: 174 * 4 = 696 (This is close but still less than 7569)"
]
] | {"empty_response":false,"error":null,"extraction_method":"llm_judge","internal_spans_detailed":[{"an(...TRUNCATED) | [[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method"(...TRUNCATED) |
What is the solution to the long multiplication equation below?
89 x 80
Think step by step. | 7120 | "{\"arg1\": 89, \"arg2\": 80, \"solution\": 7120}" | [{"content":"What is the solution to the long multiplication equation below?\n\n89 x 80\n\nThink ste(...TRUNCATED) | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | [
""
] | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | ["To solve this problem, we need to use the numbers [89, 80] and the operations (+, -, *, /) to get (...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | [
""
] | "{\"continuation_phrases\": [], \"continuations\": [\" subtracting one from another:\\n 23 - 58 = (...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | ["","To verify the given solution, we need to ensure that the final equation using all four numbers (...TRUNCATED) | "{\"all_responses\": [\"\", \"To verify the given solution, we need to ensure that the final equatio(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "We gave the following question to a language model. We want you to look through the response it gav(...TRUNCATED) | ["{\"answer_spans\": [{\"context\": \"To solve 89 x 80, we can break it down into smaller steps. Fir(...TRUNCATED) | {"api_url":"","backend":"openai","chat_template_applied":false,"generation_params":{"temperature":0.(...TRUNCATED) | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
null
] | {"all_spans_summary":null,"empty_response":true,"error":null,"extraction_method":"llm_judge","final_(...TRUNCATED) | [{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED) | [
[]
] | [
[]
] | {"empty_response":true,"error":null,"extraction_method":"llm_judge","internal_spans_detailed":[],"is(...TRUNCATED) | [
[]
] |
What is the solution to the long multiplication equation below?
23 x 58
Think step by step. | 1334 | "{\"arg1\": 23, \"arg2\": 58, \"solution\": 1334}" | [{"content":"What is the solution to the long multiplication equation below?\n\n23 x 58\n\nThink ste(...TRUNCATED) | longmult | longmult_2dig | null | null | null | null | null | null | null | null | null | null | null | null | null | ["To solve this problem, we need to find a combination of the given numbers [23, 58] using basic ari(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | ["To solve this problem, we need to find a combination of the given numbers [23, 58] using basic ari(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-Countdown3arg-AReC-sft\", \"n(...TRUNCATED) | ["To solve this problem, we need to find a combination of the given numbers [23, 58] using basic ari(...TRUNCATED) | "{\"continuation_phrases\": [\"Wait, let me try\", \"Wait, this result is\"], \"continuations\": [\"(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | ["To solve this problem, we need to find a combination of the given numbers [23, 58] using basic ari(...TRUNCATED) | "{\"all_responses\": [\"To solve this problem, we need to find a combination of the given numbers [2(...TRUNCATED) | "{\"api_url\": \"http://127.0.0.1:60790\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED) | "We gave the following question to a language model. We want you to look through the response it gav(...TRUNCATED) | ["{\"answer_spans\": [{\"context\": \"Therefore, the final answer is:\", \"answer\": \"Step 1: 23 * (...TRUNCATED) | {"api_url":"","backend":"openai","chat_template_applied":false,"generation_params":{"temperature":0.(...TRUNCATED) | {
"backend": "openai",
"model_name": "gpt-4o-mini",
"n_responses": 1
} | [
false
] | [
"Step 1: 23 * 58 = 1294\nStep 2: 1294 / 1 = 1294"
] | {"all_spans_summary":[{"answer":"Step 1: 23 * 58 = 1294\nStep 2: 1294 / 1 = 1294","context":"<answer(...TRUNCATED) | [{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED) | [
[
false
]
] | [
[
"Step 1: 23 * 58 = 1294\nStep 2: 1294 / 1 = 1294"
]
] | {"empty_response":false,"error":null,"extraction_method":"llm_judge","internal_spans_detailed":[{"an(...TRUNCATED) | [[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method"(...TRUNCATED) |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 7