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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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01Mxode /Magpie-Pro-10K-GPT4o-minitexttext-generation10K<n<100K0 likes55 downloads1y agoHugging Face02Jackrong /GPT-OSS-20B-Distilled-Reasoning-Mini Dataset Card for Dataset Name GPT-OSS-20B Distilled Reasoning Dataset Mini (Multi-stage Evaluative Refinement Method for Reasoning Generation) Dataset Details and Description This is a high-quality instruction fine-tuning dataset constructed through knowledge distillation, featuring detailed Chain-of-Thought (CoT) reasoning processes. The dataset is designed to enhance the capabilities of smaller language models in complex reasoning, logical analysis, and instruction… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/GPT-OSS-20B-Distilled-Reasoning-Mini.tabulartext-classification1K<n<10K21 likes54 downloads1y agoHugging Face03eljanmahammadli /alpaca-azerbaijani-gpt-4o-mini Dataset Details This is a translated version of the Alpaca dataset into the Azerbaijani language, using GPT-4o-mini. textquestion-answering10K<n<100K1 likes19 downloads2y agoHugging Face04juliadollis /tessera-extraidollm-gpt-5-mini-corrigido tessera-extraidollm-gpt-5-mini-corrigido Questões de múltipla escolha de direito brasileiro (Exame de Ordem, edições 38 a 45), com o texto da norma aplicável extraído do comentário oficial e verificado caractere a caractere contra ele. É a versão corrigida de tessera-extraidollm-gpt-5-mini, e é a que deve ser usada. O dado bruto de origem está em tessera. Números questões 614 com norma extraída 508 (82.7%) com a norma da alternativa correta 372… See the full description on the dataset page: https://huggingface.co/datasets/juliadollis/tessera-extraidollm-gpt-5-mini-corrigido.textmultiple-choicen<1K0 likes14 downloads2mo agoHugging Face05darssanle /GPT-4o_mini-PHQ-9 GPT-4o-mini-Evaluated-Primate_Dataset Description This dataset, titled GPT-4o-evaluated, contains texts that were evaluated by GPT-4o-mini (The "best for everyday tasks" version). The dataset focuses on identifying and annotating specific sentiments and mental health indicators within user-submitted posts. It can be used for research in mental health, sentiment analysis, and other related fields. Dataset Structure Structure of the dataset, including what each… See the full description on the dataset page: https://huggingface.co/datasets/darssanle/GPT-4o_mini-PHQ-9.texttext-classificationn<1K0 likes10 downloads2y agoHugging Face

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