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datasets

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

modalityAllTextImageAudioTabularVideo
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01s-nlp /math500-olmo-3-7b-instruct-temp0.9-samples99-logprobs OLMo-3-7B-Instruct self-consistency generations with logprobs on MATH500 This dataset contains 99 self-consistency generations per question for the MATH500 benchmark, produced with allenai/OLMo-3-7B-Instruct at temperature 0.9, together with token-level log probabilities for each completion. The file is intended for post-hoc analysis, self-consistency curves, adaptive stopping, and related aggregation methods. Source Base benchmark: HuggingFaceH4/MATH-500 Model:… See the full description on the dataset page: https://huggingface.co/datasets/s-nlp/math500-olmo-3-7b-instruct-temp0.9-samples99-logprobs.textquestion-answeringn<1K0 likes44 downloads6mo agoHugging Face02s-nlp /popqa-olmo-3-7b-instruct-temp0.9-samples99-logprobs OLMo-3-7B-Instruct self-consistency generations with logprobs on PopQA This dataset contains 99 self-consistency generations per question for the PopQA benchmark, produced with allenai/OLMo-3-7B-Instruct at temperature 0.9, together with token-level log probabilities for each completion. The file is intended for post-hoc analysis, self-consistency curves, adaptive stopping, and related aggregation methods. Source Base benchmark: PopQA Model: allenai/OLMo-3-7B-Instruct… See the full description on the dataset page: https://huggingface.co/datasets/s-nlp/popqa-olmo-3-7b-instruct-temp0.9-samples99-logprobs.tabularquestion-answering1K<n<10K0 likes17 downloads6mo agoHugging Face03s-nlp /mmlu-pro-olmo-3-7b-instruct-temp0.9-samples99-logprobs OLMo-3-7B-Instruct self-consistency generations with logprobs on MMLU-Pro This dataset contains 99 self-consistency generations per question for the MMLU-Pro test split, produced with allenai/OLMo-3-7B-Instruct at temperature 0.9, together with token-level log probabilities for each completion. The file is intended for post-hoc analysis, self-consistency curves, adaptive stopping, and related aggregation methods. Source Base benchmark: TIGER-Lab/MMLU-Pro Model:… See the full description on the dataset page: https://huggingface.co/datasets/s-nlp/mmlu-pro-olmo-3-7b-instruct-temp0.9-samples99-logprobs.textquestion-answering10K<n<100K0 likes6 downloads6mo agoHugging Face

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