ferrazzipietro/LS_Mistral-7B-v0.1_ncbi_disease_NoQuant_64_64_0.01_32_BestF1

该数据集主要用于命名实体识别任务，包含多个字段如id、tokens、ner_tags、input_ids、attention_mask、labels、sentence、predictions和ground_truth_labels。其中，ner_tags字段用于标识疾病相关的命名实体，类别包括O（非实体）、B-Disease（疾病实体开始）和I-Disease（疾病实体内部）。数据集仅包含一个测试集，包含924个样本，总大小为1369252字节。This dataset is primarily used for Named Entity Recognition tasks, specifically for identifying disease entities. It includes multiple features such as id, tokens, ner_tags, etc., where ner_tags are used to label disease entities. The dataset is divided into a test set containing 924 samples, with a dataset size of 1369252 bytes and a download size of 238600 bytes.