gsri-18/body_parts_ner_dataset_synthetic
收藏Hugging Face2025-01-30 更新2025-02-15 收录
下载链接：
https://hf-mirror.com/datasets/gsri-18/body_parts_ner_dataset_synthetic
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资源简介：
这是一个用于命名实体识别（NER）任务的数据集，专注于识别文本中的身体部位。数据集包含使用BIO（开始，内部，外部）标记方案的句子级别标注。它分为训练集、测试集和验证集，共计包含约123,802个示例。数据集可通过Hugging Face的datasets库轻松加载和探索。
This dataset is designed for Named Entity Recognition (NER) tasks, focusing on identifying body parts mentioned in text. It includes sentences with token-level annotations using the BIO (Beginning, Inside, Outside) labeling scheme. The dataset is split into training, testing, and development sets, totaling approximately 123,802 examples. It can be easily loaded and explored using the Hugging Face datasets library.
提供机构：
gsri-18
