ferrazzipietro/LS_Llama-2-13b-hf_e3c-sentences_NoQuant_32_32_0.05_16_BestF1
收藏Hugging Face2024-07-04 更新2024-07-06 收录
下载链接：
https://hf-mirror.com/datasets/ferrazzipietro/LS_Llama-2-13b-hf_e3c-sentences_NoQuant_32_32_0.05_16_BestF1
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资源简介：
该数据集主要用于自然语言处理（NLP）任务，特别是命名实体识别（NER）。数据集中包含多个特征，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。这些特征表明数据集可能用于训练和评估NER模型。数据集仅包含一个测试集，包含170个样本，文件大小为663918字节。
This dataset is primarily used for Natural Language Processing (NLP) tasks, particularly Named Entity Recognition (NER). The dataset includes multiple features such as sentence, entities, original text, original ID, tokens, NER tags, input IDs, attention mask, labels, predictions, and ground truth labels. These features suggest that the dataset may be used for training and evaluating NER models. The dataset contains only a test set with 170 samples and a file size of 663918 bytes.
提供机构：
ferrazzipietro
