Team Ai
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mathematic

agungpambudi /math-dataset-measuring-mathematical-problem-solvingTo cite the dataset please reference it as @article{hendrycksmath2021, title={Measuring Mathematical Problem Solving With the MATH Dataset}, author={Dan Hendrycks and Collin Burns and Saurav Kadavath and Akul Arora and Steven Basart and Eric Tang and Dawn Song and Jacob Steinhardt}, journal={NeurIPS}, year={2021} } textquestion-answering100K<n<1M1 likes8.8k downloads1y agoHugging FaceIDEA-FinAI /Mathematical_Modeling_Speciale_Dataset_v0.1image0 likes3.7k downloads9mo agoHugging Facemteb /cqadupstack-mathematica CQADupstackMathematicaRetrieval An MTEB dataset Massive Text Embedding Benchmark CQADupStack: A Benchmark Data Set for Community Question-Answering Research Task category t2t Domains Written, Academic, Non-fiction Referencehttp://nlp.cis.unimelb.edu.au/resources/cqadupstack/ How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["CQADupstackMathematicaRetrieval"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/cqadupstack-mathematica.texttext-retrieval10K<n<100K1 likes982 downloads1y agoHugging FaceBAAI /IndustryCorpus2_mathematics_statistics IndustryCorpus2: Mathematics & Statistics This repository contains the IndustryCorpus2: Mathematics & Statistics domain subset of BAAI/IndustryCorpus2. Refer to the parent dataset card for data construction, intended use, limitations, and licensing details. Citation If you use this dataset in your work, please cite IndustryCorpus2: @misc{shi2024industrycorpus2, title = {IndustryCorpus2}, author = {Xiaofeng Shi and Lulu Zhao and Hua Zhou and Donglin Hao}… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus2_mathematics_statistics.1 likes581 downloads2mo agoHugging Facepj-mathematician /clef2025-bioasq-task13Btext10M<n<100M1 likes520 downloads1y agoHugging FaceDataoceanAI /University-level_Mathematics_Physics_Chemistry_Computer_Science_Reasoning_Corpus Title University-level Mathematics, Physics, Chemistry, Computer Science Reasoning Corpus Size 200,000+ text+ multimodal university-level problems, each with step-by-step solutions and final answers Format Natural language explanations with multimodal samples include images (graphs, diagrams, etc.) Subject Mathematics, Physics, Chemistry, Computer Science Labeling Details Question ID/Question Stem (Full text/content) /Subject/Question Type… See the full description on the dataset page: https://huggingface.co/datasets/DataoceanAI/University-level_Mathematics_Physics_Chemistry_Computer_Science_Reasoning_Corpus.0 likes350 downloads2y agoHugging Face