five

knowledgator/sentence_rex

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Hugging Face2024-02-08 更新2024-03-04 收录
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资源简介:
--- license: apache-2.0 task_categories: - text-classification - text2text-generation language: - en tags: - text classification - relation extraction size_categories: - 10K<n<100K --- ### SentenceRex This is a dataset for training zero-shot and few-shot sentence level relation extraction models. The dataset was created with a distant supervision technique from Wikipedia. After that, labels were manually checked to be logically consistent with a sentence. Overall, it consists of **847** unique relations. Each entity between which there is a relation is tagged in the following way: <e1></e1> for the source entity and <e2></e2> for the target entity. `labels` column indicates the relation name. ### Feedback We value your input! Share your feedback and suggestions to help us improve our models and datasets. Fill out the feedback [form](https://forms.gle/5CPFFuLzNWznjcpL7) ### Join Our Discord Connect with our community on Discord for news, support, and discussion about our models and datasets. Join [Discord](https://discord.gg/mfZfwjpB)
提供机构:
knowledgator
原始信息汇总

数据集概述

基本信息

  • 许可证:Apache 2.0
  • 任务类别
    • 文本分类
    • 文本生成
  • 语言:英语
  • 标签
    • 文本分类
    • 关系抽取
  • 数据规模:10K<n<100K

数据集详情

  • 名称:SentenceRex
  • 描述:用于训练零样本和少样本句子级关系抽取模型的数据集。
  • 创建方法:通过维基百科的远程监督技术创建。
  • 数据校验:标签经过人工检查,确保逻辑一致性。
  • 关系数量:包含847种独特关系。
  • 实体标记:关系中的实体以<e1></e1>标记源实体,<e2></e2>标记目标实体。
  • 标签列labels列指示关系名称。
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