CoolFace
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gte

paralym /mint-1t-pdf-gte6-1.3M Dataset size: 1.3M entries Source: Derived from the mint-1t dataset Criteria: Contains samples with greater than or equal to 6 images (gte6) 0 likes2.1k downloads2y agoHugging Faceparalym /mint-1t-pdf-gte60 likes1.5k downloads2y agoHugging Faceparalym /mint-1t-html-images-gte6-sample Size: 6769158 images sampled from Mint-1t-html Criteria: Data entries with greater than or equal to 6 images (gte6) image1M<n<10M0 likes1.1k downloads2y agoHugging Facestanford-oval /arxiv_20240801_gte-base-en-v1.5_qdrant_indexThis repository contains a Qdrant index created from preprocessed and chunked arxiv papers from Semantic Scholar. The embedding model used is Alibaba-NLP/gte-large-en-v1.5. This index is compatible with WikiChat v2.0. Refer to the following for more information: GitHub repository: https://github.com/stanford-oval/WikiChat Papers: WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia SPAGHETTI: Open-Domain Question Answering from Heterogeneous… See the full description on the dataset page: https://huggingface.co/datasets/stanford-oval/arxiv_20240801_gte-base-en-v1.5_qdrant_index.text-retrieval100M<n<1B0 likes935 downloads2y agoHugging Facemedarc /gtex-10M-balanced-tiles GTEx 10M Balanced Tiles This dataset contains 10,000,000 JPEG-encoded 224x224 pathology tiles from GTEx SVS slides in s3://path-datasets/gtex/svs_by_tissue, balanced at 250,000 tiles for each of the 40 tissue prefixes. Source objects under 80,000,000 bytes are ignored because the GTEx prefix contains tiny unsupported SVS objects. Tiles are sampled from virtual OpenSlide levels 0, 1, and 2, so the effective field of view varies while the emitted JPEG size stays fixed. Each… See the full description on the dataset page: https://huggingface.co/datasets/medarc/gtex-10M-balanced-tiles.tabularimage-feature-extraction10M<n<100M0 likes368 downloads3mo agoHugging FaceSaumyaGupta-99 /spliceformer-gtex-tissues Spliceformer — GTEx per-tissue test sets Per-tissue, per-donor splice test sets used to evaluate Spliceformer across tissues. python scripts/download_assets.py --gtex-tissues lung python scripts/evaluate_splice.py --context 10k --ensemble --tissue lung Tissues brain_cortex · lung · testis · whole_blood · haec10 Layout {tissue}/ ├── ml_data_var/ │ ├── individual/test_GTEX-*.h5 per-donor test sets (~650 MB each) │ └── combined_test.h5… See the full description on the dataset page: https://huggingface.co/datasets/SaumyaGupta-99/spliceformer-gtex-tissues.token-classification0 likes274 downloads16d agoHugging Face