ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-all-revised_NoQuant_16_16_0.01_64_BestF1_gr

这是一个用于自然语言处理任务的数据集，可能涉及命名实体识别（NER）、文本分类等任务。数据集包含多个特征，如句子、实体信息、标记、NER标签、输入ID、注意力掩码、标签、预测结果和真实标签等。数据集分为多个部分，包括验证集和测试集，分别包含94和738个样本。

This is a dataset for natural language processing tasks, possibly involving Named Entity Recognition (NER), text classification, and other tasks. The dataset includes multiple features such as sentences, entity information, tokens, NER tags, input IDs, attention masks, labels, predictions, and ground truth labels. The dataset is divided into several parts, including a validation set and a test set, with 94 and 738 samples respectively.