ferrazzipietro/LS_Llama-2-7b-hf_ncbi_disease_NoQuant_32_64_0.01_16_BestF1

该数据集主要用于命名实体识别任务，特别是识别与疾病相关的实体。数据集包含多个特征，如id、tokens、ner_tags等，其中ner_tags用于标注疾病相关的实体。数据集包含一个测试集，大小为1424083字节，包含941个示例。数据集的下载大小为253333字节，总大小为1424083字节。

This dataset is primarily used for named entity recognition tasks, particularly for identifying disease-related entities. The dataset includes multiple features such as id, tokens, ner_tags, etc., where ner_tags are used to annotate disease-related entities. The dataset contains a test set with a size of 1424083 bytes, comprising 941 examples. The download size of the dataset is 253333 bytes, and the total size is 1424083 bytes.