ferrazzipietro/unLS_Llama-2-13b-hf_e3c-sentences_NoQuant_32_64_0.01_8_BestF1

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）。它包含句子、实体、原始文本、原始ID、标记、NER标签、输入ID、注意力掩码、标签、预测和真实标签等多个特征。数据集仅包含一个测试集，包含170个样本，总大小为663918字节。

This dataset is primarily used for natural language processing tasks, particularly named entity recognition (NER). It 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 contains only a test set with 170 samples and a total size of 663918 bytes.