five

ignatius/igbo_ner

收藏
Hugging Face2024-01-18 更新2024-05-25 收录
下载链接:
https://hf-mirror.com/datasets/ignatius/igbo_ner
下载链接
链接失效反馈
官方服务:
资源简介:
--- annotations_creators: - found language_creators: - found language: - ig license: - unknown multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - token-classification task_ids: - named-entity-recognition paperswithcode_id: null pretty_name: Igbo NER dataset dataset_info: - config_name: ner_data features: - name: content_n dtype: string - name: named_entity dtype: string - name: sentences sequence: string splits: - name: train num_bytes: 60315228 num_examples: 30715 download_size: 3311204 dataset_size: 60315228 - config_name: free_text features: - name: sentences dtype: string splits: - name: train num_bytes: 1172152 num_examples: 10000 download_size: 1132151 dataset_size: 1172152 --- # Dataset Card for Igbo NER dataset ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_ner - **Repository:** https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_ner - **Paper:** https://arxiv.org/abs/2004.00648 ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances Here is an example from the dataset: ``` {'content_n': 'content_0', 'named_entity': 'Ike Ekweremmadụ', 'sentences': ['Ike Ekweremmadụ', "Ike ịda jụụ otụ nkeji banyere oke ogbugbu na-eme n'ala Naijiria agwụla Ekweremmadụ"]} ``` ### Data Fields - content_n : ID - named_entity : Name of the entity - sentences : List of sentences for the entity ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information @misc{ezeani2020igboenglish, title={Igbo-English Machine Translation: An Evaluation Benchmark}, author={Ignatius Ezeani and Paul Rayson and Ikechukwu Onyenwe and Chinedu Uchechukwu and Mark Hepple}, year={2020}, eprint={2004.00648}, archivePrefix={arXiv}, primaryClass={cs.CL} } ### Contributions Thanks to [@purvimisal](https://github.com/purvimisal) for adding this dataset.
提供机构:
ignatius
原始信息汇总

数据集概述

  • 数据集名称: Igbo NER dataset
  • 语言: Igbo
  • 许可证: 未知
  • 多语言性: 单语
  • 大小: 10K<n<100K
  • 源数据: 原始数据
  • 任务类别: 词元分类
  • 任务ID: 命名实体识别

数据集结构

配置名称: ner_data

  • 特征:
    • content_n: 字符串
    • named_entity: 字符串
    • sentences: 字符串序列
  • 分割:
    • train:
      • 字节数: 60315228
      • 示例数: 30715
      • 下载大小: 3311204
      • 数据集大小: 60315228

配置名称: free_text

  • 特征:
    • sentences: 字符串
  • 分割:
    • train:
      • 字节数: 1172152
      • 示例数: 10000
      • 下载大小: 1132151
      • 数据集大小: 1172152

数据实例

{content_n: content_0, named_entity: Ike Ekweremmadụ, sentences: [Ike Ekweremmadụ, "Ike ịda jụụ otụ nkeji banyere oke ogbugbu na-eme nala Naijiria agwụla Ekweremmadụ"]}

数据字段

  • content_n: ID
  • named_entity: 实体名称
  • sentences: 实体的句子列表
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作