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odegiber /hate_speech18These files contain text extracted from Stormfront, a white supremacist forum. A random set of forums posts have been sampled from several subforums and split into sentences. Those sentences have been manually labelled as containing hate speech or not, according to certain annotation guidelines.text-classification10K<n<100K17 likes1.1k downloads3y agoHugging Facelyttt /ode_step50 likes390 downloads1y agoHugging FaceOdeinjul /bigann-100m-static-search-eval bigann-100m-static-search-eval Static 100M search-evaluation dataset with original vectors, original query/ground-truth files, a rebuilt hnswlib HNSW index, and generated PQ artifacts. Files Base: base.u8bin HNSW index: index_m_32_ef_500 Query: orig_query_10k.u8bin Ground truth: groundtruth.bin Checksums: checksums.sha256 Kaggle metadata is provided via dataset-metadata.json during upload and is stored by Kaggle as dataset configuration, not as a listed data… See the full description on the dataset page: https://huggingface.co/datasets/Odeinjul/bigann-100m-static-search-eval.0 likes372 downloads2mo agoHugging FaceODELIA-AI /ODELIA-Challenge-2025gated ODELIA Challenge Dataset This dataset is part of the ODELIA project, a European Horizon initiative focused on developing privacy-preserving, AI-driven diagnostic tools using swarm learning. The dataset provided here represents a curated subset of data from the broader ODELIA consortium. It is designed to facilitate the development, benchmarking, and validation of AI algorithms that can operate effectively across a range of heterogeneous clinical settings. The dataset contains… See the full description on the dataset page: https://huggingface.co/datasets/ODELIA-AI/ODELIA-Challenge-2025.tabularimage-classification1K<n<10K11 likes370 downloads11mo agoHugging FaceOdeinjul /deep-100m-batch-update-eval deep-100m-batch-update-eval Batch-update evaluation workload package generated from deep-100m-static-search-eval. Dataset Source static dataset: deep-100m-static-search-eval Vector count: 100,000,000 Dimension: 96 Dtype: float32 Metric: l2 Initial update index: 80,000,000 vectors with external labels equal to A = P[0:80M] Update order: update_order.u32, a seed-42 permutation of source IDs [0, 100M) Insert vector source: base_permuted.fbin, where row j equals… See the full description on the dataset page: https://huggingface.co/datasets/Odeinjul/deep-100m-batch-update-eval.0 likes266 downloads23h agoHugging FaceOdeinjul /deep-100m-static-search-eval deep-100m-static-search-eval Static 100M search-evaluation dataset with original vectors, original query/ground-truth files, a rebuilt hnswlib HNSW index, and generated PQ artifacts. Files Base: base.fbin HNSW index: index_m_32_ef_500 Query: orig_query_10k.fbin Ground truth: groundtruth.bin Checksums: checksums.sha256 Kaggle metadata is provided via dataset-metadata.json during upload and is stored by Kaggle as dataset configuration, not as a listed data file.… See the full description on the dataset page: https://huggingface.co/datasets/Odeinjul/deep-100m-static-search-eval.0 likes263 downloads23h agoHugging Face

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