ferrazzipietro/unLS_Llama-3.1-8B_diann-sentences-spanish_NoQuant_32_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。数据集的总大小为6053518字节，下载大小为1282208字节。这些特征表明该数据集可能用于自然语言处理任务，如文本分类、实体识别或序列标注。

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. The total size of the dataset is 6053518 bytes, with a download size of 1282208 bytes. These features suggest that the dataset may be used for natural language processing tasks such as text classification, entity recognition, or sequence labeling.