Datasets › InLegalNER
InLegalNER
InLegalNER is a corpus of 46545 annotated legal named entities mapped to 14 legal entity types. It is designed for named entity recognition in indian court judgement.
Source: Named Entity Recognition in Indian court judgments
Image Source: https://arxiv.org/pdf/2211.03442v1.pdf
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| NER | InLegalNER | opennyaiorg/en_legal_ner_trf F1 score 91.076 | Named Entity Recognition in Indian court judgments | legal-nlp-ekstep/legal_ner | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Named Entity Recognition in Indian court judgments | 1 | 1 | 7 Nov 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- InLegalNER
1 variant name, as the archive lists them.
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