ferrazzipietro/LS_Mistral-7B-v0.1_ncbi_disease_NoQuant_16_64_0.01_16_BestF1
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资源简介：
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字段用于标注疾病相关的实体，包含O、B-Disease和I-Disease三个类别。数据集仅包含一个测试分割，共有924个示例，总大小为1369252字节。
This dataset is primarily used for natural language processing tasks, particularly Named Entity Recognition (NER). It includes multiple features such as id, tokens, ner_tags, input_ids, attention_mask, labels, sentence, predictions, and ground_truth_labels. Among these, tokens and ner_tags are sequence data, with ner_tags containing specific class labels like O, B-Disease, and I-Disease. The dataset is divided into a test set with 924 samples, totaling 1369252 bytes.
提供机构：
ferrazzipietro
