ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_64_64_0.01_64_BestF1_en

该数据集主要用于自然语言处理任务，特别是命名实体识别（NER）。数据集包含多个特征，如句子、实体、原始文本、原始ID、标记、NER标签、输入ID、注意力掩码、标签、预测和真实标签等。数据集分为两个部分：验证集和测试集，分别包含106和666个样本。

This dataset is primarily used for natural language processing tasks, particularly Named Entity Recognition (NER). The dataset includes multiple features such as sentences, entities, original text, original ID, tokens, NER tags, input IDs, attention masks, labels, predictions, and ground truth labels. The dataset is divided into two parts: a validation set and a test set, containing 106 and 666 samples respectively.