ferrazzipietro/LS_Llama-2-13b-hf_ncbi_disease_NoQuant_64_64_0.01_8_BestF1

该数据集主要用于命名实体识别任务，特别是疾病相关的实体识别。数据集包含多个特征，如id、tokens、ner_tags、input_ids、attention_mask、labels、sentence、predictions和ground_truth_labels。其中，ner_tags特征标注了疾病相关的实体，包括B-Disease和I-Disease标签。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。

This dataset is primarily used for Named Entity Recognition tasks, specifically related to disease entities. It includes multiple features such as id, tokens, ner_tags, etc., where ner_tags are used to label disease-related tags. The dataset is divided into a test set containing 924 samples.