ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_32_64_0.05_64_BestF1_en

该数据集包含句子、实体、原始文本、原始ID、标记、NER标签、真实词级别标签、输入ID、注意力掩码、标签、预测和真实标签等特征。实体特征进一步细分为ID、偏移量、角色、语义类型ID、文本和类型。数据集分为验证集和测试集，分别包含106和666个样本。

The dataset contains multiple features such as sentence, entities, original text, original ID, tokens, NER tags, input IDs, attention mask, labels, predictions, and ground truth labels. Each feature has its specific data type and structure. The dataset is split into a validation set and a test set, containing 106 and 666 samples respectively. The download size of the dataset is 292687 bytes, and the total size is 2891037 bytes.