Team Ai
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mteb /biosses-sts BIOSSES An MTEB dataset Massive Text Embedding Benchmark Biomedical Semantic Similarity Estimation. Task category t2t Domains Medical Reference https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html 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(["BIOSSES"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL) evaluator.run(model) To learn more… See the full description on the dataset page: https://huggingface.co/datasets/mteb/biosses-sts.textsentence-similarityn<1K2 likes22k downloads1y agoHugging Facezouhar /bio-mqm-datasetThis dataset is compiled from the official Amazon repository (all respective licensing applies). It contains system translations, multiple references, and their quality evaluation on the MQM scale. It accompanies the ACL 2024 paper Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains. Watch a brief 4 minutes-long video. Abstract: We introduce a new, extensive multidimensional quality metrics (MQM) annotated dataset covering 11 language pairs in the biomedical domain. We use this… See the full description on the dataset page: https://huggingface.co/datasets/zouhar/bio-mqm-dataset.texttranslation10K<n<100K8 likes16k downloads2y agoHugging Facejunma /CVPR-BiomedSegFMThis repository contains the BiomedSegFM dataset, a crucial resource for the CVPR 2025 Competition: Foundation Models for 3D Biomedical Image Segmentation. Foundation Models for Interactive 3D Biomedical Image Segmentation (Homepage) Foundation Models for Text-guided 3D Biomedical Image Segmentation (Homepage) CVPR 2025 Competition: Foundation Models for 3D Biomedical Image Segmentation Highly recommend watching the webinar recording to learn about the task settings and… See the full description on the dataset page: https://huggingface.co/datasets/junma/CVPR-BiomedSegFM.3dimage-segmentation24 likes13k downloads7mo agoHugging Facephuongly84829 /biosphere0 likes9k downloads51m agoHugging FaceBIOMEDICA /biomedica_webdataset_24Mgated Dataset Card for Dataset Name Arxiv: Arxiv &nbsp;&nbsp;&nbsp;&nbsp;|&nbsp;&nbsp;&nbsp;&nbsp; Website: Biomedica &nbsp;&nbsp;&nbsp;&nbsp;|&nbsp;&nbsp;&nbsp;&nbsp; Training instructions: OpenCLIP &nbsp;&nbsp;&nbsp;&nbsp;|&nbsp;&nbsp;&nbsp;&nbsp; Tutorial: Google Colab BIOMEDICA Dataset is a large-scale, deep-learning-ready biomedical dataset containing over 24M imagecaption pairs and 30M image-references from 6M unique open-source articles. Each… See the full description on the dataset page: https://huggingface.co/datasets/BIOMEDICA/biomedica_webdataset_24M.n>1T40 likes8.4k downloads1mo agoHugging Facecamel-ai /biology CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society Github: https://github.com/lightaime/camel Website: https://www.camel-ai.org/ Arxiv Paper: https://arxiv.org/abs/2303.17760 Dataset Summary Biology dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 biology topics, 25 subtopics for each topic and 32 problems for each "topic,subtopic" pairs. We provide… See the full description on the dataset page: https://huggingface.co/datasets/camel-ai/biology.texttext-generation10K<n<100K58 likes7.2k downloads3y agoHugging Face