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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01bevangelista /AIME_2000_2026_Kimi_K3 AIME 2000–2026 — Kimi K3 reasoning traces 🔄 Changelog 2026-08-08 — full re-generation. All reasoning traces were regenerated from scratch and re-verified against the official answer key. New schema — added gen_attempts_low, gen_attempts_high; renamed gen_parsed_answer → gen_answer_int and answer_note → problem_note; removed gen_effort, gen_pass1. New generation — only use the bare problem (v1 appended an "ANSWER:" format instruction), so traces are cleaner.… See the full description on the dataset page: https://huggingface.co/datasets/bevangelista/AIME_2000_2026_Kimi_K3.tabulartext-generationn<1K2 likes1.3k downloads2mo agoHugging Face02sxiong /AIME-trajectory AIME Trajectory Dataset Model-generated solution trajectories for AIME (American Invitational Mathematics Examination) problems. Each row is one model response to a single problem, including the hidden chain-of-thoughts (when available), and the final response. Dataset Summary Split Rows Unique Problems Years Model(s) Has reasoning_content Accuracy train 1,258 875 1983–2023 deepseek-r1 Yes 100% test 180 30 2024 Multiple (see below) No 3.3%… See the full description on the dataset page: https://huggingface.co/datasets/sxiong/AIME-trajectory.tabularquestion-answering1K<n<10K1 likes246 downloads3mo agoHugging Face03suryadv /qwen3-8b-aime-2009-2024-16x AIME Reasoning Traces · Qwen3-8B 7,680 reasoning traces for 480 AIME problems, with 16 sampled responses per problem. The corpus covers AIME I and AIME II from 2009 through 2024 and includes both correct and incorrect answers. We created this dataset for How Should Incorrect Traces Be Used in Supervised Fine-Tuning? It is the source for the paper's larger AIME experiment, which compares correct and incorrect supervision across two disjoint sets of 106 problems. Code and… See the full description on the dataset page: https://huggingface.co/datasets/suryadv/qwen3-8b-aime-2009-2024-16x.tabulartext-generation1K<n<10K0 likes232 downloads10d agoHugging Face04XumengWen /AIME24-25_CoT_Verification Dataset for ICLR 2026 Paper: Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs 📌 Dataset Summary This dataset contains the rollouts (reasoning traces) and verification results used in our ICLR 2026 paper. The data allows for the analysis of how Reinforcement Learning with Verifiable Rewards (RLVR) incentivizes the correct reasoning of Large Language Models (LLMs) on challenging mathematics benchmarks. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/XumengWen/AIME24-25_CoT_Verification.tabulartext-generation100K<n<1M1 likes160 downloads8mo agoHugging Face05bevangelista /AIME_1983_2026_Kimi_K3 AIME 1983–2026 — Kimi K3 reasoning traces 🔄 Changelog 2026-08-08 — full re-generation. All reasoning traces were regenerated from scratch and re-verified against the official answer key. New schema — added gen_attempts_low, gen_attempts_high; renamed gen_parsed_answer → gen_answer_int and answer_note → problem_note; removed gen_effort, gen_pass1. New generation — only use the bare problem (v1 appended an "ANSWER:" format instruction), so traces are cleaner.… See the full description on the dataset page: https://huggingface.co/datasets/bevangelista/AIME_1983_2026_Kimi_K3.tabulartext-generation1K<n<10K0 likes106 downloads2mo agoHugging Face06aimeelizq /SHP 🚢 Stanford Human Preferences Dataset (SHP) If you mention this dataset in a paper, please cite the paper: Understanding Dataset Difficulty with V-Usable Information (ICML 2022). Summary SHP is a dataset of 385K collective human preferences over responses to questions/instructions in 18 different subject areas, from cooking to legal advice. The preferences are meant to reflect the helpfulness of one response over another, and are intended to be used for training… See the full description on the dataset page: https://huggingface.co/datasets/aimeelizq/SHP.tabulartext-generation100K<n<1M0 likes96 downloads4mo agoHugging Face07CoffeeGitta /difficulty-aime_2025-generations Generations Dataset: aime_2025 Paper: LLMs Encode Their Failures: Predicting Success from Pre-Generation ActivationsCode: GitHub LLM-generated solutions across train/validation/test splits for multiple models. Columns Column Type Description problem str Problem statement generated_solutions list Generated solutions with scores success_rate float Fraction of correct generations majority_vote_is_correct int (0/1) Whether majority vote is correct k… See the full description on the dataset page: https://huggingface.co/datasets/CoffeeGitta/difficulty-aime_2025-generations.tabulartext-generationn<1K0 likes70 downloads1mo agoHugging Face08ymoslem /AIME-24-25-26-clustered AIME 2024-2026, clustered 90 AIME problems from 2024, 2025 and 2026, embedded and assigned to the three semantic clusters used by CRE-Router. Intended as a held-out test set for query routing: three years of 30 problems each, spread evenly across clusters, so accuracy can be broken down by year. Figure rule Every problem is self-contained. Where a figure is needed to solve a problem it is included as source, Asymptote or plain text; where a figure was decorative… See the full description on the dataset page: https://huggingface.co/datasets/ymoslem/AIME-24-25-26-clustered.tabulartext-generationn<1K0 likes56 downloads19d agoHugging Face09bevangelista /AIME_2026_Kimi_K3 AIME 2026 — Kimi K3 reasoning traces 🔄 Changelog 2026-08-08 — full re-generation. All reasoning traces were regenerated from scratch and re-verified against the official answer key. New schema — added gen_attempts_low, gen_attempts_high; renamed gen_parsed_answer → gen_answer_int and answer_note → problem_note; removed gen_effort, gen_pass1. New generation — only use the bare problem (v1 appended an "ANSWER:" format instruction), so traces are cleaner. AIME… See the full description on the dataset page: https://huggingface.co/datasets/bevangelista/AIME_2026_Kimi_K3.tabulartext-generationn<1K0 likes44 downloads2mo agoHugging Face10bevangelista /AIME_2025_Kimi_K3 AIME 2025 — Kimi K3 reasoning traces 🔄 Changelog 2026-08-08 — full re-generation. All reasoning traces were regenerated from scratch and re-verified against the official answer key. New schema — added gen_attempts_low, gen_attempts_high; renamed gen_parsed_answer → gen_answer_int and answer_note → problem_note; removed gen_effort, gen_pass1. New generation — only use the bare problem (v1 appended an "ANSWER:" format instruction), so traces are cleaner. AIME… See the full description on the dataset page: https://huggingface.co/datasets/bevangelista/AIME_2025_Kimi_K3.tabulartext-generationn<1K0 likes37 downloads2mo agoHugging Face11ytu-ce-cosmos /aime24-tr AIME 2024 (Turkish) Dataset This dataset contains the Turkish translations of problems from the 2024 American Invitational Mathematics Examination (AIME). It is intended to serve as a benchmark for evaluating the advanced mathematical reasoning capabilities of Large Language Models (LLMs) in the Turkish language. The questions were translated into Turkish using GPT-5, then manually verified and corrected. Additional quality checks were performed to identify formatting issues, LaTeX… See the full description on the dataset page: https://huggingface.co/datasets/ytu-ce-cosmos/aime24-tr.tabularquestion-answeringn<1K17 likes32 downloads5mo agoHugging Face12ytu-ce-cosmos /aime25-tr AIME 2025 (Turkish) Dataset This dataset contains the Turkish translations of problems from the 2025 American Invitational Mathematics Examination (AIME). It is intended to serve as a benchmark for evaluating the advanced mathematical reasoning capabilities of Large Language Models (LLMs) in the Turkish language. The questions were translated into Turkish using GPT-5, then manually verified and corrected. Additional quality checks were performed to identify formatting issues, LaTeX… See the full description on the dataset page: https://huggingface.co/datasets/ytu-ce-cosmos/aime25-tr.tabularquestion-answeringn<1K4 likes31 downloads5mo agoHugging Face13amalia-llm /aime-1983-2024-ptpt AIME-PT (1983-2024) Portuguese translation of problems from the American Invitational Mathematics Examination (AIME) spanning 1983-2024. Translated using Gemma-4 31B-It. Original Dataset: https://artofproblemsolving.com/wiki/index.php/AIME_Problems_and_Solutions Note: This dataset is machine translated and may contain translation errors or artifacts. This dataset is provided as part of the AMALIA project and is included in AMALIA-Bench, a comprehensive benchmark suite… See the full description on the dataset page: https://huggingface.co/datasets/amalia-llm/aime-1983-2024-ptpt.tabularquestion-answeringn<1K0 likes25 downloads3mo agoHugging Face14pmahdavi /aime2025-merging-leaderboard AIME 2025 Evaluation Leaderboard Evaluation results for 8 models on AIME 2025 with 30 problems and 32 rollouts per problem. Evaluation We followed the evaluation guidelines and prompts from OLMo 3. Best effort was made to ensure reported numbers are as accurate as possible. Code: pmahdavi/modal-eval Leaderboard Model pass@32 avg@32 Loop Rate allenai/Olmo-3.1-7B-RL-Zero-Math 80.0% 38.0% 2.9% pmahdavi/Olmo-3.1-7B-Math-Code 73.3% 36.4% 2.4%… See the full description on the dataset page: https://huggingface.co/datasets/pmahdavi/aime2025-merging-leaderboard.tabulartext-generation1K<n<10K0 likes22 downloads8mo agoHugging Face15ZachW /gemma-4-31b-it_aime-all google/gemma-4-31b-it — aime-all Model outputs from the micro-creativity inference suite. Model: google/gemma-4-31b-it Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after meta-prompt application) raw_output Full… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/gemma-4-31b-it_aime-all.tabulartext-generationn<1K0 likes22 downloads5mo agoHugging Face16ZachW /llama-3.1-8b-instruct_aime-all meta-llama/Llama-3.1-8B-Instruct — aime-all Model outputs from the micro-creativity inference suite. Model: meta-llama/Llama-3.1-8B-Instruct Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after meta-prompt application)… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/llama-3.1-8b-instruct_aime-all.tabulartext-generationn<1K0 likes22 downloads5mo agoHugging Face17ZachW /mistral-small-3.2-24b-instruct-2506_aime-all mistralai/Mistral-Small-3.2-24B-Instruct-2506 — aime-all Model outputs from the micro-creativity inference suite. Model: mistralai/Mistral-Small-3.2-24B-Instruct-2506 Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/mistral-small-3.2-24b-instruct-2506_aime-all.tabulartext-generationn<1K0 likes20 downloads5mo agoHugging Face18ZachW /nanbeige4-3b-thinking-2511_aime-all Nanbeige/Nanbeige4-3B-Thinking-2511 — aime-all Model outputs from the micro-creativity inference suite. Model: Nanbeige/Nanbeige4-3B-Thinking-2511 Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after meta-prompt… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/nanbeige4-3b-thinking-2511_aime-all.tabulartext-generationn<1K0 likes20 downloads5mo agoHugging Face19ZachW /olmo-3-7b-instruct_aime-all allenai/OLMo-3-7B-Instruct — aime-all Model outputs from the micro-creativity inference suite. Model: allenai/OLMo-3-7B-Instruct Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after meta-prompt application)… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/olmo-3-7b-instruct_aime-all.tabulartext-generationn<1K0 likes19 downloads5mo agoHugging Face20ZachW /qwen3-30b-a3b_aime-all Qwen/Qwen3-30B-A3B — aime-all Model outputs from the micro-creativity inference suite. Model: Qwen/Qwen3-30B-A3B Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after meta-prompt application) raw_output Full model output… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/qwen3-30b-a3b_aime-all.tabulartext-generationn<1K0 likes19 downloads5mo agoHugging Face21ZachW /olmo-3-7b-think_aime-all allenai/OLMo-3-7B-Think — aime-all Model outputs from the micro-creativity inference suite. Model: allenai/OLMo-3-7B-Think Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after meta-prompt application) raw_output Full… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/olmo-3-7b-think_aime-all.tabulartext-generationn<1K0 likes17 downloads5mo agoHugging Face22ZachW /gpt-oss-20b_aime-all openai/gpt-oss-20b — aime-all Model outputs from the micro-creativity inference suite. Model: openai/gpt-oss-20b Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after meta-prompt application) raw_output Full model output… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/gpt-oss-20b_aime-all.tabulartext-generationn<1K0 likes16 downloads5mo agoHugging Face23ZachW /gemma-3-27b-it_aime-all google/gemma-3-27b-it — aime-all Model outputs from the micro-creativity inference suite. Model: google/gemma-3-27b-it Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after meta-prompt application) raw_output Full… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/gemma-3-27b-it_aime-all.tabulartext-generationn<1K0 likes10 downloads5mo agoHugging Face24HaeChan0305 /Qwen3-0.6B-AIME-2023-2024-2025-sampling64gated Model : Qwen3-0.6B Original Dataset : AIME2023, AIME2024, AIME2025 Prompt: {"role": "user", "content": "Please reason step by step, and put your final answer within \boxed{}." + '\n\n' + problem} Sampling Parameters : num_sampling=64 max_tokens=38912 temperature=0.6 top_p=0.95 top_k=20 min_p=0 ‘correct’ : computed by the code in the link (https://github.com/LeapLabTHU/Absolute-Zero-Reasoner/blob/master/absolute_zero_reasoner/rewards/math_utils.py) tabulartext-generation1K<n<10K0 likes5 downloads1y agoHugging Face25ZachW /qwen3-8b_aime-all Qwen/Qwen3-8B — aime-all Model outputs from the micro-creativity inference suite. Model: Qwen/Qwen3-8B Dataset: aime-all (933 items) Part of collection: ZachW/llm-creativity-benchmarks Generation config temperature: 0.0 max_tokens: 32768 seed: 42 backend: vllm Columns Column Description task_id Unique task identifier input The exact prompt sent to the model (after meta-prompt application) raw_output Full model output string… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/qwen3-8b_aime-all.tabulartext-generationn<1K0 likes5 downloads5mo agoHugging Face26HaeChan0305 /Qwen3-32B-AIME-2023-2024-2025-sampling64gated Model : Qwen3-32B Original Dataset : first 24 queries in AIME2023 (시간 없어서 뒤에꺼 못함.) Prompt: {"role": "user", "content": "Please reason step by step, and put your final answer within \boxed{}." + '\n\n' + problem} Sampling Parameters : num_sampling=64 max_tokens=38912 temperature=0.6 top_p=0.95 top_k=20 min_p=0 ‘correct’ : computed by the code in the link (https://github.com/LeapLabTHU/Absolute-Zero-Reasoner/blob/master/absolute_zero_reasoner/rewards/math_utils.py) tabulartext-generation1K<n<10K0 likes4 downloads1y agoHugging Face

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