uzair921/GPT4OMINI_GUM_LLM_CONTEXT_42_50
收藏Hugging Face2025-02-10 更新2025-02-15 收录
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https://hf-mirror.com/datasets/uzair921/GPT4OMINI_GUM_LLM_CONTEXT_42_50
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资源简介:
这是一个包含tokens和ner_tags两种特征的序列标注数据集,用于命名实体识别任务。数据集分为训练集、验证集和测试集,总共包含2427个示例。训练集包含1005个示例,大小为347430字节;验证集包含615个示例,大小为213725字节;测试集包含807个示例,大小为292655字节。
This is a sequence labeling dataset with two features: tokens and ner_tags, for the named entity recognition task. The dataset is divided into training, validation, and test sets, totaling 2427 examples. The training set contains 1005 examples and is 347430 bytes in size; the validation set contains 615 examples and is 213725 bytes in size; the test set contains 807 examples and is 292655 bytes in size.
提供机构:
uzair921



