tner/tweebank_ner

TweeBank NER数据集是TNER项目的一部分，主要用于命名实体识别任务。该数据集包含来自Twitter的文本数据，定义了四种实体类型：LOC（地点）、MISC（杂项）、PER（人名）和ORG（组织）。数据集分为训练集、验证集和测试集，分别包含1639、710和1201个样本。

The TweeBank NER dataset is a component of the TNER project, primarily used for named entity recognition (NER) tasks. It consists of text data sourced from Twitter, and defines four entity types: LOC (Location), MISC (Miscellaneous), PER (Person), and ORG (Organization). The dataset is split into training, validation, and test sets, which contain 1639, 710, and 1201 samples respectively.

原始信息汇总

数据集概述

数据集基本信息

• 名称: TweeBank NER
• 领域: Twitter
• 实体数量: 4
• 语言: 英语
• 多语言性: 单语
• 许可证: 其他
• 大小类别: 1k<10K
• 任务类别: 令牌分类
• 任务ID: 命名实体识别

数据集详情

数据集总结

• 格式: 基于TNER项目格式化
• 实体类型: LOC, MISC, PER, ORG

数据集结构

数据实例

• 示例: json { tokens: [RT, @USER2362, :, Farmall, Heart, Of, The, Holidays, Tabletop, Christmas, Tree, With, Lights, And, Motion, URL1087, #Holiday, #Gifts], tags: [8, 8, 8, 2, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8] }

标签ID

• 标签映射: 可在此处找到。

数据分割

名称	训练	验证	测试
tweebank_ner	1639	710	1201

引用信息

@article{DBLP:journals/corr/abs-2201-07281, author = {Hang Jiang and Yining Hua and Doug Beeferman and Deb Roy}, title = {Annotating the Tweebank Corpus on Named Entity Recognition and Building {NLP} Models for Social Media Analysis}, journal = {CoRR}, volume = {abs/2201.07281}, year = {2022}, url = {https://arxiv.org/abs/2201.07281}, eprinttype = {arXiv}, eprint = {2201.07281}, timestamp = {Fri, 21 Jan 2022 13:57:15 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2201-07281.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }