CoolFace
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sefaria

Sefaria /database_export0 likes1.7k downloads3y agoHugging Faceavishaynaim /sefaria-corpus0 likes521 downloads2mo agoHugging Facemehdie /sefariaThis Dataset is a Hugging Face interface to the Sefaria database export Sefaria is a large collection of early Jewish texts, mostly in ancient Hebrew, but also some are in Aramaic, and some are translations into English. 3 likes302 downloads3y agoHugging FaceSefaria /hebrew_library Description Export of Sefaria's Hebrew library data. This data represents over version in the library marked as Hebrew. Schema Field Description text The text of a single segment in the library. A segment is the smallest chunk of test, usually representing a paragraph. metadata Dictionary of metadata. See below for schema. Metadata Schema Field Description url URL to this segment in Sefaria ref Canonical Ref to this segment. Refs… See the full description on the dataset page: https://huggingface.co/datasets/Sefaria/hebrew_library.text1M<n<10M2 likes147 downloads3y agoHugging FaceZaneoiji /inneratlas-sefaria INNER ATLAS — Sefaria quotation corpus 21,564 quotation records in 2 file(s), 7,670 of them marked default-visible. Each record carries its own rights block, verification status and attribution string; the per-record rights field is authoritative, not this page. Licence Public Domain, CC0, CC BY, CC BY-SA. Licence Records Public Domain 14,559 CC BY 2,843 CC0 2,648 CC BY-SA 1,514 Attribution What must be displayed with this text… See the full description on the dataset page: https://huggingface.co/datasets/Zaneoiji/inneratlas-sefaria.text10K<n<100K0 likes136 downloads6d agoHugging FaceSefaria /Rabbinic-Embedding-Leaderboard Rabbinic Embedding Benchmark Leaderboard This dataset stores the leaderboard results for the Rabbinic Hebrew/Aramaic Embedding Benchmark. Structure The leaderboard.json file contains an array of evaluation results: [ { "model_id": "model-org/model-name", "model_name": "Model Display Name", "mrr": 0.85, "recall_at_1": 0.75, "recall_at_5": 0.90, "recall_at_10": 0.95, "bitext_accuracy": 0.92, "avg_true_pair_similarity": 0.85… See the full description on the dataset page: https://huggingface.co/datasets/Sefaria/Rabbinic-Embedding-Leaderboard.tabularn<1K1 likes109 downloads2mo agoHugging Face