Dataset Viewer
Auto-converted to Parquet Duplicate
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
[ "" ]
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is the solution to the...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl", "n_responses": 1}
[ "To solve this, we need to multiply 10 by 37.\n\nStep 1: 10 * 37 = 370\n\nTherefore, the final answer is 370.\n treffen\n\nPlease note that I cannot perform actual arithmetic operations as it would involve real-world finances which are not within my capabilities. However, I can help you understand the concept if ne...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is the solution to the...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl", "n_responses": 3}
[ "" ]
{"continuation_phrases": [], "continuations": [" \n\nAfter checking, I found my mistake earlier. The correct calculation should be:\n\nStep 1: Multiply 66 by 91\n66 * 91 = 5,966\n\nSo, the final answer is:\n<potential answer>\n5,966\n</potential answer>\n</step>\n\nTherefore, the correct solution to the equation 66 x 9...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is t...
[ "To solve this, we need to multiply 10 by 37.\n\nStep 1: 10 * 37 = 370\n\nTherefore, the final answer is 370.\n reasoning: To get the result of multiplying 10 by 37, we simply need to add these two numbers together. \n\nSo, the final answer is:\n\n<potential answer>\n10 * 37 = 370\n</potential answer>\n", "To ver...
{"all_responses": ["To solve this, we need to multiply 10 by 37.\n\nStep 1: 10 * 37 = 370\n\nTherefore, the final answer is 370.\n reasoning: To get the result of multiplying 10 by 37, we simply need to add these two numbers together. \n\nSo, the final answer is:\n\n<potential answer>\n10 * 37 = 370\n</potential answer...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is t...
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 10 x 37, we can break it down into simpler steps. First, we can multiply 10 by 30 and then by 7.\", \"answer\": \"10 x 30 = 300\"}, {\"context\": \"Next, we multiply 10 by 7.\", \"answer\": \"10 x 7 = 70\"}, {\"context\": \"Now, we add the two results together: 300 + 70...
{ "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, "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, "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? 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
[ "" ]
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is the solution to the...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl", "n_responses": 1}
[ "", "", "" ]
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is the solution to the...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl", "n_responses": 3}
[ "To solve this, we need to multiply 66 and 91. Let's go:\n\nStep 1: Multiply 66 by 91\n66 * 91 = 5,966\n\nTherefore, the solution to 66 x 91 is 5,966.\n\nFinal answer: \n<potential answer>\n5966\n</potential answer>\n But I need to verify this. The correct solution is actually 2292. Let's break it down:\n\n Step...
{"continuation_phrases": ["But I need to verify this.", "But to confirm,"], "continuations": [" The correct solution is actually 2292. Let's break it down:\n\n Step 1: 36 * 67 = 2292\n\nSo, the final answer is:\n\n<potential answer>\n2292\n</potential answer>\n</step>\n\n<step>\nTo solve the multiplication problem of...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is t...
[ "To solve this problem, we need to multiply 66 and 91. Let's break it down into steps:\n\nStep 1: Multiply 66 by 90 (which is close to 91)\n66 * 90 = 5940\n\nStep 2: Add 1 to the result from Step 1\n5940 + 1 = 5941\n\nSo, the final answer is:\n66 * 91 = 5941\n\nTherefore, the correct option is:\n<potential answer>\...
{"all_responses": ["To solve this problem, we need to multiply 66 and 91. Let's break it down into steps:\n\nStep 1: Multiply 66 by 90 (which is close to 91)\n66 * 90 = 5940\n\nStep 2: Add 1 to the result from Step 1\n5940 + 1 = 5941\n\nSo, the final answer is:\n66 * 91 = 5941\n\nTherefore, the correct option is:\n<pot...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is t...
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 66 x 91, we can break it down into smaller parts. First, we can multiply 66 by 90 and then by 1.\", \"answer\": \"66 x 90\"}, {\"context\": \"Next, we calculate 66 x 90, which is 5940.\", \"answer\": \"5940\"}, {\"context\": \"Then, we calculate 66 x 1, which is 66.\", ...
{ "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, "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, "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? 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
[ "To solve the multiplication problem of 36 and 67, we need to find the product of these two numbers. Let's break it down:\n\n1. First, we need to multiply 36 by 67.\n2. We can use the number line method or any other multiplication strategy to get the result.\n\nLet's perform the multiplication:\n\n36 x 67 = 2412\n\...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is the solution to the...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl", "n_responses": 1}
[ "To solve the multiplication problem of 36 and 67, we need to find the product of these two numbers. Let's break it down:\n\n1. First, we need to multiply 36 by 67.\n2. We can use the number line method or any other multiplication strategy to get the result.\n\nLet's start with the numberline method:\n\nStep 1: Sta...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is the solution to the...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl", "n_responses": 3}
[ "To solve the multiplication problem of 36 and 67, we can follow these steps:\n\n1. First, let's try to remember if there are any simple combinations or operations that can be used.\n2. In this case, 36 is a smaller number, so we can start by dividing it by 37 (which is close to 67).\n3. 36 ÷ 37 = 0.945 (approximat...
{"continuation_phrases": ["Wait! I can double check this answer.", "Wait! I can double check this answer."], "continuations": ["", ""], "full_responses": ["To solve the multiplication problem of 36 and 67, we can follow these steps:\n\n1. First, let's try to remember if there are any simple combinations or operations t...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is t...
[ "To solve the multiplication problem of 36 and 67, we need to find the product of these two numbers. Let's break it down:\n\n1. First, we need to multiply 36 by 67.\n2. We can use the number line method or any other multiplication strategy to get the result.\n\nLet's start with the numberline method:\n\nStep 1: Sta...
{"all_responses": ["To solve the multiplication problem of 36 and 67, we need to find the product of these two numbers. Let's break it down:\n\n1. First, we need to multiply 36 by 67.\n2. We can use the number line method or any other multiplication strategy to get the result.\n\nLet's start with the numberline method:...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is t...
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\": \"So, the solution to the multiplication problem of 36 and 67 is:\", \"answer\": \"2412\"}, {\"context\": \"Therefore, the final answer is:\", \"answer\": \"2412\"}, {\"context\": \"Therefore, the final answer is:\", \"answer\": \"2412\"}, {\"context\": \"The final answer is:\", \...
{ "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 }
[ true ]
[ "2412" ]
{ "all_spans_summary": [ { "answer": "2412", "context": "<potential answer> 2412 </potential answer>", "end_line": 13, "start_line": 13 }, { "answer": "2412", "context": "Therefore, the final answer is: <potential answer> 2412 </potential answer>", "end_line": 19,...
[ { "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 } ]
[ [ true, true, true, true, true, true ] ]
[ [ "2412", "2412", "2412", "2412", "2412", "2412" ] ]
{ "empty_response": false, "extraction_method": "llm_judge", "internal_spans_detailed": [ { "answer": "2412", "context": "<potential answer> 2412 </potential answer>", "end_line": 13, "end_pos": 396, "start_line": 13, "start_pos": 391 }, { "answer": "2412", ...
[ [ { "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" }, { "an...
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
[ "" ]
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is the solution to the...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl", "n_responses": 1}
[ "To solve the problem of multiplying 43 and 53, we need to perform the following steps:\n\n1. **Identify the numbers**: We have two numbers, 43 and 53.\n2. **Consider the operation**: We need to multiply these two numbers together.\n3. **Perform the multiplication**: Multiply 43 by 53.\n\nLet's start with the multi...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is the solution to the...
{"backend": "litellm", "model_name": "hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl", "n_responses": 3}
[ "To solve the problem of multiplying 43 and 53, we need to find the correct result. Let's start by considering the possible operations and their effects on the numbers.\n\n1. First, let's try adding the numbers:\n 43 + 53 = 96\n This is too small, so we need to increase the result.\n\n2. Next, let's try subtrac...
{"continuation_phrases": ["But to confirm,", "Wait, this result is"], "continuations": ["", " That doesn't give me 33...\n forfeiture: my bad, my bad. that was incorrect of me. the correct answer is:\n<potential answer>\n45*(88 + 45)\n</potential answer>\n</vote>\n</think>\n\nThe final answer is:\n<potential answer>\n3...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is t...
[ "To solve the problem of multiplying 43 and 53, we need to find the correct result. Let's start by trying different combinations of addition and subtraction.\n\nStep 1: 43 + 53 = 96\nStep 2: 96 - 43 = 53\nStep 3: 53 - 53 = 0\n\nThe final result is:\n<potential answer>\nStep 1: 43 + 53 = 96\nStep 2: 96 - 43 = 53\nSt...
{"all_responses": ["To solve the problem of multiplying 43 and 53, we need to find the correct result. Let's start by trying different combinations of addition and subtraction.\n\nStep 1: 43 + 53 = 96\nStep 2: 96 - 43 = 53\nStep 3: 53 - 53 = 0\n\nThe final result is:\n<potential answer>\nStep 1: 43 + 53 = 96\nStep 2: 9...
{"api_url": "http://127.0.0.1:63600", "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_vote_think-rl", "prompt": [{"content": "What is t...
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 43 x 53, we can break it down into smaller parts. First, we can multiply 43 by 3, which gives us 129.\", \"answer\": \"129\"}, {\"context\": \"Next, we multiply 43 by 50 (which is the same as 43 x 5 x 10). 43 x 5 is 215, and then we multiply that by 10 to get 2150.\", \...
{ "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, "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, "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? 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 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 multiply 33 by 34. Let's break it down:\n\n1. First, let's try t(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
["To solve this problem, we need to multiply 33 by 34. Let's break it down step by step:\n\nStep 1: (...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
["To solve this problem, we need to multiply 33 by 34. Let's break it down step by step:\n\nStep 1: (...TRUNCATED)
"{\"continuation_phrases\": [\"Wait, let me try\", \"Wait, how?\"], \"continuations\": [\" We should(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
["","To verify the answer, we need to check if multiplying 88 by 45 gives us 3960. Let's perform the(...TRUNCATED)
"{\"all_responses\": [\"\", \"To verify the answer, we need to check if multiplying 88 by 45 gives u(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"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 based on the provided instructions(...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 ]
[ "33*34" ]
{"all_spans_summary":[{"answer":"1022","context":"<potential answer> 1022 </potential answer>","end_(...TRUNCATED)
[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED)
[ [ false, false, false, false, false, false, false, false, false, false ] ]
[["1022","33 * 34 = 1022","32","32","33 * 34 - 32 = 64","703","\"tt022\"","33 * 34 = 33","33 * 34 = (...TRUNCATED)
{"empty_response":false,"extraction_method":"llm_judge","internal_spans_detailed":[{"answer":"1022",(...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? 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 multiply 88 by 45. Let's break it down:\n\n1. First, let's try t(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
["To solve this, we need to multiply 88 by 45. Let's do it:\n\nStep 1: 88 * 45 = 3960\n\nSo, the fin(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
["To solve this problem, we need to multiply 88 by 45. Let's break it down:\n\n1. First, let's try t(...TRUNCATED)
"{\"continuation_phrases\": [\"Wait, how?\", \"But I need to verify this.\"], \"continuations\": [\"(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
["To solve this, we need to multiply 88 by 45. Let's do it:\n\nStep 1: 88 * 45 = 3960\n\nSo, the fin(...TRUNCATED)
"{\"all_responses\": [\"To solve this, we need to multiply 88 by 45. Let's do it:\\n\\nStep 1: 88 * (...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"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 answer is:\", \"answer\": \"88 * 45 = 3960 - 27(...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 ]
[ "88*45/10*10" ]
{"all_spans_summary":[{"answer":"88 * 45 = 3960 - 270 = 880","context":"lines 21-23, <potential answ(...TRUNCATED)
[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED)
[ [ false, false, false, true, true, false, false, false, false, true, false ] ]
[["88 * 45 = 3960 - 270 = 880","88 * 45 = 3960 - 270 = 880","Step 1: 88 * 45 = 3960\nStep 2: 3960 / (...TRUNCATED)
{"empty_response":false,"extraction_method":"llm_judge","internal_spans_detailed":[{"answer":"88 * 4(...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
[ "" ]
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
[ "", "", "" ]
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
[ "" ]
"{\"continuation_phrases\": [], \"continuations\": [\" the options provided, it seems there might be(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
["To solve the multiplication problem of 53 and 13, we can follow these steps:\n\n1. First, let's tr(...TRUNCATED)
"{\"all_responses\": [\"To solve the multiplication problem of 53 and 13, we can follow these steps:(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"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 53 x 13, 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,"extraction_method":"llm_judge","final_span_info":nu(...TRUNCATED)
[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED)
[ [] ]
[ [] ]
{"empty_response":true,"extraction_method":"llm_judge","internal_spans_detailed":[],"is_final_of_mul(...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
[ "" ]
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
["To solve this problem, we need to find the result of multiplying 87 by itself, which can be expres(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
[ "" ]
"{\"continuation_phrases\": [], \"continuations\": [\" The correct calculation should be:\\n\\n89 * (...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
["To solve this problem, we need to find the result of multiplying 87 by itself, which can be denote(...TRUNCATED)
"{\"all_responses\": [\"To solve this problem, we need to find the result of multiplying 87 by itsel(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"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 87 x 87, we can break it down into smaller parts. 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,"extraction_method":"llm_judge","final_span_info":nu(...TRUNCATED)
[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED)
[ [] ]
[ [] ]
{"empty_response":true,"extraction_method":"llm_judge","internal_spans_detailed":[],"is_final_of_mul(...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://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
[ "", "", "" ]
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
["To solve this problem, we need to multiply 89 by 80. Let's break it down:\n\nStep 1: 89 * 80 = 712(...TRUNCATED)
"{\"continuation_phrases\": [\"But I need to verify this.\", \"Hold on, let me verify this answer.\"(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
["","I apologize for the mistake in my previous response. To correctly calculate 88 multiplied by 38(...TRUNCATED)
"{\"all_responses\": [\"\", \"I apologize for the mistake in my previous response. To correctly calc(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"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,"extraction_method":"llm_judge","final_span_info":nu(...TRUNCATED)
[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED)
[ [] ]
[ [] ]
{"empty_response":true,"extraction_method":"llm_judge","internal_spans_detailed":[],"is_final_of_mul(...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 the multiplication problem of 23 and 58, we can follow these steps:\n\n1. First, we need (...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
["To solve the multiplication problem of 23 and 58, we can follow these steps:\n\n1. First, we need (...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
"{\"backend\": \"litellm\", \"model_name\": \"hosted_vllm/TAUR-dev/SIE-countdown3arg_vote_think-rl\"(...TRUNCATED)
[ "" ]
"{\"continuation_phrases\": [], \"continuations\": [\"\", \"\"], \"full_responses\": [\"\"], \"initi(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"backend\": \"litellm\", \"chat_template_applied\": true(...TRUNCATED)
["To solve the long multiplication problem of 23 x 58, we need to follow these steps:\n\n1. Multiply(...TRUNCATED)
"{\"all_responses\": [\"To solve the long multiplication problem of 23 x 58, we need to follow these(...TRUNCATED)
"{\"api_url\": \"http://127.0.0.1:63600\", \"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 solution to the multiplication equation of 23 a(...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 ]
[ "23 * 58 = 1334\n1334 + 23 = 1357" ]
{"all_spans_summary":[{"answer":"23 * 58 = 1334\n1334 + 23 = 1357","context":"<potential answer> ...(...TRUNCATED)
[{"answer_block":null,"comparison_type":null,"correct_answer":null,"error":null,"evaluation_method":(...TRUNCATED)
[ [ false, false, true, true, false, false, false, false ] ]
[["23 * 58 = 1334\n1334 + 23 = 1357","23 * 58 = 1334\n1334 + 23 = 1357","23 * 58 = 1334","23 * 58 = (...TRUNCATED)
{"empty_response":false,"extraction_method":"llm_judge","internal_spans_detailed":[{"answer":"23 * 5(...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
10