CoolFace
30 shown

datasets

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

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
sortTrendingMost likedMost usedRecently updatedNewest
Clear all
01opendatalab /SlimPajama-Meta-rater-Reasoning-30B Top 30B token SlimPajama Subset selected by the Reasoning rater This repository contains the dataset described in the paper Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models. Code: https://github.com/opendatalab/Meta-rater Dataset Description This dataset contains the top 30B tokens from the SlimPajama-627B corpus, selected using the Reasoning dimension of the PRRC (Professionalism, Readability, Reasoning, Cleanliness) framework. Each… See the full description on the dataset page: https://huggingface.co/datasets/opendatalab/SlimPajama-Meta-rater-Reasoning-30B.tabulartext-generation1M<n<10M1 likes185 downloads1y agoHugging Face02allenai /code-meta-reasoning-filteredtabular100K<n<1M1 likes150 downloads1y agoHugging Face03mlfoundations-dev /meta_chat_reasoning_25_75_system_eval_bba0 mlfoundations-dev/meta_chat_reasoning_25_75_system_eval_bba0 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 23.7 65.8 82.2 0.4 18.6 20.4 13.5 6.8 11.4 AIME24 Average Accuracy: 23.67% ± 1.73% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 23.33% 7 30 2 26.67% 8 30 3 33.33% 10 30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_25_75_system_eval_bba0.tabular1K<n<10K0 likes27 downloads1y agoHugging Face04reasoning-degeneration-dev /t1-musr-prompt-enhancement-together_ai-meta-llama-meta-llama-3-1-8b t1-musr-prompt-enhancement-together_ai-meta-llama-meta-llama-3-1-8b MuSR Prompt Enhancement via Knowledge Synthesis + Compliance Tracking. Performance Eval Set pass@1 Original (base) 0.7450 Original (enhanced prompt) 0.7300 Heldout (base prompt) 0.7050 Heldout (enhanced prompt) 0.7050 Strategies Natural strategy: Means‑Motive‑Opportunity Heuristic Enhanced strategy: Means-Motive-Opportunity Matrix Synthesized Facts Always list… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/t1-musr-prompt-enhancement-together_ai-meta-llama-meta-llama-3-1-8b.tabularn<1K0 likes12 downloads7mo agoHugging Face05mlfoundations-dev /REASONING_evalchemy_64shards_Meta-Llama-3-8B-Instructtabularn<1K0 likes10 downloads2y agoHugging Face06mlfoundations-dev /meta_chat_reasoning_50_50_system_100k_eval_bba0 mlfoundations-dev/meta_chat_reasoning_50_50_system_100k_eval_bba0 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 32.3 71.5 82.8 0.5 42.4 36.9 9.2 10.4 11.7 AIME24 Average Accuracy: 32.33% ± 1.77% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 23.33% 7 30 2 30.00% 9 30 3 33.33% 10… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_50_50_system_100k_eval_bba0.tabular1K<n<10K0 likes9 downloads1y agoHugging Face07mlfoundations-dev /meta_chat_reasoning_0_100_system_100k_eval_bba0 mlfoundations-dev/meta_chat_reasoning_0_100_system_100k_eval_bba0 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 37.0 78.5 83.6 0.4 48.1 44.4 19.6 15.3 19.3 AIME24 Average Accuracy: 37.00% ± 1.97% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 33.33% 10 30 2 43.33% 13 30 3 46.67%… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_0_100_system_100k_eval_bba0.tabular1K<n<10K0 likes9 downloads1y agoHugging Face08mlfoundations-dev /meta_chat_reasoning_75_25_system_eval_bba0 mlfoundations-dev/meta_chat_reasoning_75_25_system_eval_bba0 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 22.7 60.3 78.8 0.4 40.9 27.6 12.8 7.8 11.0 AIME24 Average Accuracy: 22.67% ± 1.23% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 23.33% 7 30 2 23.33% 7 30 3 30.00% 9 30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_75_25_system_eval_bba0.tabular1K<n<10K0 likes9 downloads1y agoHugging Face09mlfoundations-dev /meta_chat_reasoning_50_50_system_eval_bba0 mlfoundations-dev/meta_chat_reasoning_50_50_system_eval_bba0 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 20.3 60.5 77.6 0.5 22.6 20.9 11.1 4.8 7.9 AIME24 Average Accuracy: 20.33% ± 0.74% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 16.67% 5 30 2 16.67% 5 30 3 23.33% 7 30 4… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_50_50_system_eval_bba0.tabular1K<n<10K0 likes9 downloads1y agoHugging Face10mlfoundations-dev /meta_chat_reasoning_25_75_eval_636d mlfoundations-dev/meta_chat_reasoning_25_75_eval_636d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 23.0 66.5 81.0 0.4 24.0 4.4 9.1 6.2 10.9 AIME24 Average Accuracy: 23.00% ± 0.99% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 16.67% 5 30 2 23.33% 7 30 3 26.67% 8 30 4 20.00%… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_25_75_eval_636d.tabular1K<n<10K0 likes9 downloads1y agoHugging Face11mlfoundations-dev /meta_chat_reasoning_25_75_eval_2e29 mlfoundations-dev/meta_chat_reasoning_25_75_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 23.0 66.5 79.8 44.3 23.1 4.4 18.9 7.3 11.2 23.7 15.2 13.5 AIME24 Average Accuracy: 23.00% ± 1.37% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 23.33%… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_25_75_eval_2e29.tabular10K<n<100K0 likes9 downloads1y agoHugging Face12mlfoundations-dev /REASONING_evalchemy_8shards_Meta-Llama-3-8B-Instructtabularn<1K0 likes8 downloads2y agoHugging Face13mlfoundations-dev /meta_chat_reasoning_0_100_system_eval_636d mlfoundations-dev/meta_chat_reasoning_0_100_system_eval_636d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 26.3 67.5 82.2 29.2 44.4 39.1 27.6 9.4 15.2 AIME24 Average Accuracy: 26.33% ± 1.29% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 30.00% 9 30 2 26.67% 8 30 3 30.00% 9 30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_0_100_system_eval_636d.tabular1K<n<10K0 likes8 downloads1y agoHugging Face14mlfoundations-dev /meta_chat_reasoning_100_0_eval_636d mlfoundations-dev/meta_chat_reasoning_100_0_eval_636d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 3.7 34.8 51.6 18.4 19.1 22.9 3.5 0.5 1.7 AIME24 Average Accuracy: 3.67% ± 0.74% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 0.00% 0 30 2 3.33% 1 30 3 6.67% 2 30 4 3.33% 1 30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_100_0_eval_636d.tabular1K<n<10K0 likes8 downloads1y agoHugging Face15mlfoundations-dev /meta_chat_reasoning_50_50_eval_636d mlfoundations-dev/meta_chat_reasoning_50_50_eval_636d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 17.7 48.8 60.2 19.0 30.2 17.7 11.4 3.4 6.3 AIME24 Average Accuracy: 17.67% ± 0.95% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 20.00% 6 30 2 13.33% 4 30 3 16.67% 5 30 4… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_50_50_eval_636d.tabular1K<n<10K0 likes8 downloads1y agoHugging Face16mlfoundations-dev /meta_chat_reasoning_0_100_system_eval_bba0 mlfoundations-dev/meta_chat_reasoning_0_100_system_eval_bba0 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 29.7 69.5 83.8 28.2 47.3 40.7 31.7 12.9 19.2 AIME24 Average Accuracy: 29.67% ± 1.60% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 20.00% 6 30 2 36.67% 11 30 3 33.33% 10… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_0_100_system_eval_bba0.tabular1K<n<10K0 likes8 downloads1y agoHugging Face17mlfoundations-dev /meta_chat_reasoning_75_25_100k_eval_636d mlfoundations-dev/meta_chat_reasoning_75_25_100k_eval_636d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 25.7 62.5 77.6 25.2 34.7 36.0 13.8 7.5 8.2 AIME24 Average Accuracy: 25.67% ± 1.89% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 20.00% 6 30 2 26.67% 8 30 3 23.33% 7 30 4… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_75_25_100k_eval_636d.tabular1K<n<10K0 likes8 downloads1y agoHugging Face18mlfoundations-dev /meta_chat_reasoning_50_50_100k_eval_636d mlfoundations-dev/meta_chat_reasoning_50_50_100k_eval_636d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 33.7 71.5 83.6 27.6 37.6 33.8 21.3 10.6 10.7 AIME24 Average Accuracy: 33.67% ± 1.79% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 33.33% 10 30 2 46.67% 14 30 3 33.33% 10 30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_50_50_100k_eval_636d.tabular1K<n<10K0 likes8 downloads1y agoHugging Face19mlfoundations-dev /meta_chat_reasoning_0_100_100k_eval_636d mlfoundations-dev/meta_chat_reasoning_0_100_100k_eval_636d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 37.0 75.0 84.6 29.0 47.5 45.1 38.4 15.2 19.2 AIME24 Average Accuracy: 37.00% ± 3.21% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 36.67% 11 30 2 36.67% 11 30 3 40.00% 12 30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_0_100_100k_eval_636d.tabular1K<n<10K0 likes8 downloads1y agoHugging Face20mlfoundations-dev /meta_chat_reasoning_25_75_system_100k_eval_bba0 mlfoundations-dev/meta_chat_reasoning_25_75_system_100k_eval_bba0 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 32.7 73.0 85.0 50.8 45.3 37.5 30.7 9.1 11.4 AIME24 Average Accuracy: 32.67% ± 1.75% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 36.67% 11 30 2 40.00% 12 30 3 36.67%… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_25_75_system_100k_eval_bba0.tabular1K<n<10K0 likes8 downloads1y agoHugging Face21mlfoundations-dev /meta_chat_reasoning_75_25_system_100k_eval_bba0 mlfoundations-dev/meta_chat_reasoning_75_25_system_100k_eval_bba0 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 25.3 63.7 76.8 0.4 39.2 39.7 8.2 6.4 6.3 AIME24 Average Accuracy: 25.33% ± 1.58% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 26.67% 8 30 2 20.00% 6 30 3 23.33% 7 30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_75_25_system_100k_eval_bba0.tabular1K<n<10K0 likes8 downloads1y agoHugging Face22mlfoundations-dev /meta_chat_reasoning_0_100_100k_eval_2e29 mlfoundations-dev/meta_chat_reasoning_0_100_100k_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 35.0 74.5 84.4 30.2 46.4 47.0 36.9 15.4 18.0 23.3 1.4 28.2 AIME24 Average Accuracy: 35.00% ± 1.58% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_0_100_100k_eval_2e29.tabular10K<n<100K0 likes8 downloads1y agoHugging Face23mlfoundations-dev /meta_chat_reasoning_50_50_100k_eval_2e29 mlfoundations-dev/meta_chat_reasoning_50_50_100k_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 30.3 74.2 82.8 24.6 38.8 32.7 22.8 10.9 11.4 25.7 1.2 16.8 AIME24 Average Accuracy: 30.33% ± 2.13% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_50_50_100k_eval_2e29.tabular10K<n<100K0 likes8 downloads1y agoHugging Face24mlfoundations-dev /meta_chat_reasoning_75_25_100k_eval_2e29 mlfoundations-dev/meta_chat_reasoning_75_25_100k_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 24.3 68.5 76.8 25.8 35.9 33.2 13.6 7.5 8.5 20.7 0.5 10.3 AIME24 Average Accuracy: 24.33% ± 1.42% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_75_25_100k_eval_2e29.tabular10K<n<100K0 likes8 downloads1y agoHugging Face25mlfoundations-dev /meta_chat_reasoning_25_75_100k_eval_2e29 mlfoundations-dev/meta_chat_reasoning_25_75_100k_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 32.3 75.0 82.2 29.2 42.7 36.4 32.7 12.0 15.2 24.7 2.3 23.7 AIME24 Average Accuracy: 32.33% ± 1.64% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_25_75_100k_eval_2e29.tabular10K<n<100K0 likes8 downloads1y agoHugging Face26mlfoundations-dev /REASONING_evalchemy_256shards_Meta-Llama-3-8B-Instructtabularn<1K0 likes7 downloads2y agoHugging Face27mlfoundations-dev /REASONING_evalchemy_2048shards_Meta-Llama-3-8B-Instructtabularn<1K0 likes7 downloads2y agoHugging Face28mlfoundations-dev /meta_chat_reasoning_0_100_eval_636d mlfoundations-dev/meta_chat_reasoning_0_100_eval_636d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 26.7 67.0 82.8 28.6 45.2 34.5 30.2 10.0 16.3 AIME24 Average Accuracy: 26.67% ± 2.75% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 43.33% 13 30 2 16.67% 5 30 3 26.67% 8 30 4… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_0_100_eval_636d.tabular1K<n<10K0 likes7 downloads1y agoHugging Face29mlfoundations-dev /meta_chat_reasoning_75_25_eval_636d mlfoundations-dev/meta_chat_reasoning_75_25_eval_636d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 19.7 60.8 74.8 21.8 36.5 23.1 8.3 3.3 7.4 AIME24 Average Accuracy: 19.67% ± 1.37% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 20.00% 6 30 2 20.00% 6 30 3 16.67% 5 30 4 20.00%… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_75_25_eval_636d.tabular1K<n<10K0 likes7 downloads1y agoHugging Face30mlfoundations-dev /meta_chat_reasoning_100_0_system_eval_bba0 mlfoundations-dev/meta_chat_reasoning_100_0_system_eval_bba0 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces Accuracy 4.0 32.5 51.0 36.2 19.0 18.5 2.8 0.9 2.5 AIME24 Average Accuracy: 4.00% ± 1.03% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 6.67% 2 30 2 6.67% 2 30 3 3.33% 1 30 4… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/meta_chat_reasoning_100_0_system_eval_bba0.tabular10K<n<100K0 likes7 downloads1y agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.