uzair921/QWEN_WNUT_17_EMBEDDINGS_TEXT_LLM_RAG_25_openai_Text
收藏Hugging Face2025-02-08 更新2025-02-15 收录
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https://hf-mirror.com/datasets/uzair921/QWEN_WNUT_17_EMBEDDINGS_TEXT_LLM_RAG_25_openai_Text
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资源简介：
该数据集是一个用于命名实体识别的任务的数据集，包含tokens（文本序列）和ner_tags（实体标签序列）两个特征。实体标签序列包含多个类别，如公司、作品、团体、地点、人物和产品等。数据集分为训练集、验证集和测试集，分别包含2391、1009和1287个示例。数据集的总大小为1,374,988字节，下载大小为381,440字节。
This dataset is for a named entity recognition task, including features of tokens (text sequences) and ner_tags (entity label sequences). The entity label sequences contain multiple categories such as corporations, creative works, groups, locations, persons, and products. The dataset is split into training, validation, and test sets, containing 2,391, 1,009, and 1,287 examples respectively. The total size of the dataset is 1,374,988 bytes, with a download size of 381,440 bytes.
提供机构：
uzair921
