ferrazzipietro/LS_Mistral-7B-v0.1_e3c-sentences_NoQuant_32_64_0.01_16_BestF1
收藏Hugging Face2024-07-16 更新2024-07-22 收录
下载链接：
https://hf-mirror.com/datasets/ferrazzipietro/LS_Mistral-7B-v0.1_e3c-sentences_NoQuant_32_64_0.01_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，特别是与命名实体识别（NER）相关的任务。数据集包含多个特征，如句子、实体、原始文本、原始ID、令牌、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，大小为658559字节，包含170个示例。
This dataset is primarily used for Natural Language Processing (NLP) tasks, particularly those related to Named Entity Recognition (NER). The dataset includes multiple features such as sentences, entities, original text, original ID, tokens, NER tags, input IDs, attention masks, labels, predictions, and ground truth labels. These features suggest that the dataset is likely used for training and evaluating NER models. The dataset contains only a test set, which is 658559 bytes in size and includes 170 examples.
提供机构：
ferrazzipietro
