ferrazzipietro/unLS_Llama-2-7b-hf_ncbi_disease_NoQuant_64_32_0.01_64_BestF1

该数据集主要用于命名实体识别任务，包含id、tokens、ner_tags、input_ids、attention_mask、labels、sentence、predictions和ground_truth_labels等字段。其中，ner_tags字段用于标注疾病相关的命名实体，标签类别包括O（非实体）、B-Disease（疾病实体的开始）和I-Disease（疾病实体的内部）。数据集仅包含一个测试集，共有924个样本，文件大小为1385467字节。

The dataset includes multiple features such as id, tokens, ner_tags, etc., each with specific data types and structures. The dataset is divided into different parts, such as the test part, which includes specific byte counts and sample counts. The download size and actual size of the dataset are also mentioned.