ferrazzipietro/LS_Llama-2-7b-hf_ncbi_disease_NoQuant_16_64_0.05_16_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特征用于标注疾病相关的实体。数据集仅包含一个测试集，包含941个样本，总大小为1424083字节。

This dataset is primarily used for named entity recognition tasks, particularly for disease-related entity recognition. The dataset includes multiple features such as id, tokens, ner_tags, input_ids, attention_mask, labels, sentence, predictions, and ground_truth_labels. The ner_tags feature is used to annotate disease-related entities. The dataset contains only a test set with 941 samples and a total size of 1424083 bytes.