CoolFace
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openthoughts3

open-thoughts /OpenThoughts3-1.2M paper | dataset | model [!NOTE] We have released a paper for OpenThoughts! See our paper here. OpenThoughts3-1.2M Open-source state-of-the-art reasoning dataset with 1.2M rows. 🚀 OpenThoughts3-1.2M is the third iteration in our line of OpenThoughts datasets, building on our previous OpenThoughts-114k and OpenThoughts2-1M. This time around, we scale even further and generate our dataset in a much more systematic way -- OpenThoughts3-1.2M is the result of a… See the full description on the dataset page: https://huggingface.co/datasets/open-thoughts/OpenThoughts3-1.2M.texttext-generation1M<n<10M264 likes23k downloads1y agoHugging Facemlfoundations-dev /OpenThoughts3tabular1M<n<10M1 likes571 downloads1y agoHugging Facemlfoundations-dev /openthoughts3_code_100k_annotated_QwQ-32B_sharegpt_eval_5554 mlfoundations-dev/openthoughts3_code_100k_annotated_QwQ-32B_sharegpt_eval_5554 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces HLE HMMT AIME25 LiveCodeBenchv5 Accuracy 34.3 74.5 79.4 49.4 51.0 44.3 53.9 21.5 23.1 12.2 17.0 22.7 40.1 AIME24 Average Accuracy: 34.33% ± 1.89% Number of Runs: 10 Run Accuracy Questions… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/openthoughts3_code_100k_annotated_QwQ-32B_sharegpt_eval_5554.tabular10K<n<100K0 likes558 downloads1y agoHugging Facejacobmorrison /OpenThoughts3-full-filtered-mathtext100K<n<1M0 likes522 downloads1y agoHugging Facetturing /open_thoughts3_1.2m_annotated_Qwen3-8B_sft_packing0 likes513 downloads2mo agoHugging FaceSultanR /openthoughts3-en-ar-midtrain openthoughts3-en-ar-midtrain Arabic translation of the OpenThoughts3_1.2M split of smoltalk2 (config Mid): long mathematical reasoning traces with <think> blocks, in a two-message user/assistant format. Translated with google/gemma-4-12B-it (bf16, greedy) on A100s. All 1,135,104 source rows are present, none dropped. The pipeline segments each message into prose and verbatim blocks (code, LaTeX, tables, and inline non-translatables are masked and never sent to the model)… See the full description on the dataset page: https://huggingface.co/datasets/SultanR/openthoughts3-en-ar-midtrain.tabulartext-generation1M<n<10M0 likes465 downloads1mo agoHugging Face