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DATA-AI_full-reasoning
- huggingface.co
Updated Jun 3, 2025
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EmailClick to copy linkLink copiedCiteM.INC. (2025). DATA-AI_full-reasoning [Dataset]. https://huggingface.co/datasets/Mattimax/DATA-AI_full-reasoningDataset updatedJun 3, 2025AuthorsM.INC.LicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionNaturalReasoning is a large-scale dataset for general reasoning tasks. It consists of high-quality challenging reasoning questions backtranslated from pretraining corpora DCLM and FineMath. The questions have been deduplicated and decontaminated from popular reasoning benchmarks including MATH, GPQA, MMLU-Pro, MMLU-STEM. For each question, we extract the reference final answer from the original document from the pretraining corpora if possible. We also provide a model-generated response from… See the full description on the dataset page: https://huggingface.co/datasets/Mattimax/DATA-AI_full-reasoning.
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natural_reasoning
- huggingface.co
Updated Feb 27, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAmmar (2025). natural_reasoning [Dataset]. https://huggingface.co/datasets/Daemontatox/natural_reasoningCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedFeb 27, 2025AuthorsAmmarLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionNaturalReasoning is a large-scale dataset for general reasoning tasks. It consists of high-quality challenging reasoning questions backtranslated from pretraining corpora DCLM and FineMath. The questions have been deduplicated and decontaminated from popular reasoning benchmarks including MATH, GPQA, MMLU-Pro, MMLU-STEM. For each question, we extract the reference final answer from the original document from the pretraining corpora if possible. We also provide a model-generated response from… See the full description on the dataset page: https://huggingface.co/datasets/Daemontatox/natural_reasoning.
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natural_reasoning
- huggingface.co
Updated Mar 1, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteJames Guana (2025). natural_reasoning [Dataset]. https://huggingface.co/datasets/jobs-git/natural_reasoningCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 1, 2025AuthorsJames GuanaLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionNaturalReasoning is a large-scale dataset for general reasoning tasks. It consists of high-quality challenging reasoning questions backtranslated from pretraining corpora DCLM and FineMath. The questions have been deduplicated and decontaminated from popular reasoning benchmarks including MATH, GPQA, MMLU-Pro, MMLU-STEM. For each question, we extract the reference final answer from the original document from the pretraining corpora if possible. We also provide a model-generated response from… See the full description on the dataset page: https://huggingface.co/datasets/jobs-git/natural_reasoning.
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natural_reasoning
- huggingface.co
Updated Feb 19, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAI at Meta (2025). natural_reasoning [Dataset]. https://huggingface.co/datasets/facebook/natural_reasoningCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedFeb 19, 2025Dataset authored and provided byAI at MetaLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionNaturalReasoning is a large-scale dataset for general reasoning tasks. It consists of high-quality challenging reasoning questions backtranslated from pretraining corpora DCLM and FineMath. The questions have been deduplicated and decontaminated from popular reasoning benchmarks including MATH, GPQA, MMLU-Pro, MMLU-STEM. For each question, we extract the reference final answer from the original document from the pretraining corpora if possible. We also provide a model-generated response from… See the full description on the dataset page: https://huggingface.co/datasets/facebook/natural_reasoning.
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FacebookTwitterEmailAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
NaturalReasoning is a large-scale dataset for general reasoning tasks. It consists of high-quality challenging reasoning questions backtranslated from pretraining corpora DCLM and FineMath. The questions have been deduplicated and decontaminated from popular reasoning benchmarks including MATH, GPQA, MMLU-Pro, MMLU-STEM. For each question, we extract the reference final answer from the original document from the pretraining corpora if possible. We also provide a model-generated response from… See the full description on the dataset page: https://huggingface.co/datasets/Mattimax/DATA-AI_full-reasoning.