hf-tuner/indian-legal-ner

这是一个用于命名实体识别的数据集，包含 tokens, ner_tags和text三个字段。ner_tags字段包括组织、条款、证人、地理政治实体、律师、先例、其他人、被告、案件编号、法规、日期、原告、法院、法官等多个实体的标签。数据集分为训练集和验证集，训练集共有6220个示例，验证集共有613个示例。

This is a named entity recognition dataset containing three fields: tokens, ner_tags, and text. The ner_tags field includes labels for organizations, provisions, witnesses, geopolitical entities, lawyers, precedents, other people, respondents, case numbers, statutes, dates, petitioners, courts, judges, and more. The dataset is divided into a training set and a validation set, with the training set containing 6220 examples and the validation set containing 613 examples.