ferrazzipietro/LS_Llama-3.1-8B_diann-sentences-spanish_NoQuant_16_64_0.01_64_BestF1

该数据集包含多个字段，如句子、ID、标题、关键词、注释文本、原始文本、句子注释、实体、标记、NER标签、真实词级标签、输入ID、注意力掩码、标签、预测和真实标签。数据集分为验证集和测试集，分别包含364和480个样本。该数据集可能用于自然语言处理任务，如命名实体识别（NER）和文本分类。

The dataset includes multiple fields such as sentence, ID, title, keywords, annotated text, raw text, sentence annotated, entities, tokens, NER tags, ground truth word level, input IDs, attention mask, labels, predictions, and ground truth labels. The dataset is divided into validation and test sets, containing 364 and 480 samples respectively. This dataset is likely used for natural language processing tasks such as named entity recognition (NER) and text classification.