wkrl/cord
收藏资源简介：
--- annotations_creators: - crowdsourced language_creators: - crowdsourced language: - en multilinguality: - monolingual license: - cc-by-4.0 pretty_name: CORD size_categories: - 1K<n<10K source_datasets: - original task_categories: - token-classification task_ids: - parsing --- # Dataset Card for CORD (Consolidated Receipt Dataset) ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Additional Information](#additional-information) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Repository: https://github.com/clovaai/cord** - **Paper: https://openreview.net/pdf?id=SJl3z659UH** - **Leaderboard: https://paperswithcode.com/dataset/cord** ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields ```python { "id": datasets.Value("string"), "words": datasets.Sequence(datasets.Value("string")), "bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))), "labels": datasets.Sequence(datasets.features.ClassLabel(names=_LABELS)), "images": datasets.features.Image(), } ``` ### Data Splits - train (800 rows) - validation (100 rows) - test (100 rows) ## Dataset Creation ### Licensing Information [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/) ### Citation Information ``` @article{park2019cord, title={CORD: A Consolidated Receipt Dataset for Post-OCR Parsing}, author={Park, Seunghyun and Shin, Seung and Lee, Bado and Lee, Junyeop and Surh, Jaeheung and Seo, Minjoon and Lee, Hwalsuk} booktitle={Document Intelligence Workshop at Neural Information Processing Systems} year={2019} } ``` ### Contributions Thanks to [@clovaai](https://github.com/clovaai) for adding this dataset.
--- annotations_creators: - 众包（crowdsourced） language_creators: - 众包（crowdsourced） language: - 英语（en） multilinguality: - 单语言（monolingual） license: - CC BY 4.0（cc-by-4.0） pretty_name: CORD size_categories: - 1K<n<10K source_datasets: - 原始数据集（original） task_categories: - Token分类（token-classification） task_ids: - 句法分析（parsing） --- # CORD（整合式收据数据集）数据集卡片 ## 目录 - [目录](#table-of-contents) - [数据集描述](#dataset-description) - [数据集概述](#dataset-summary) - [支持任务与排行榜](#supported-tasks-and-leaderboards) - [数据集结构](#dataset-structure) - [数据实例](#data-instances) - [数据字段](#data-fields) - [数据划分](#data-splits) - [附加信息](#additional-information) - [许可信息](#licensing-information) - [引用信息](#citation-information) - [贡献说明](#contributions) ## 数据集描述 - **代码仓库：https://github.com/clovaai/cord** - **相关论文：https://openreview.net/pdf?id=SJl3z659UH** - **排行榜页面：https://paperswithcode.com/dataset/cord** ### 数据集概述 [More Information Needed] ### 支持任务与排行榜 [More Information Needed] ## 数据集结构 ### 数据实例 [More Information Needed] ### 数据字段 python { "id": datasets.Value("string"), "words": datasets.Sequence(datasets.Value("string")), "bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))), "labels": datasets.Sequence(datasets.features.ClassLabel(names=_LABELS)), "images": datasets.features.Image(), } ### 数据划分 - 训练集（800条数据） - 验证集（100条数据） - 测试集（100条数据） ## 数据集构建 ### 许可信息 [知识共享署名4.0国际许可协议](http://creativecommons.org/licenses/by/4.0/) ### 引用信息 @article{park2019cord, title={CORD：面向OCR后处理句法分析的整合式收据数据集}, author={Park, Seunghyun and Shin, Seung and Lee, Bado and Lee, Junyeop and Surh, Jaeheung and Seo, Minjoon and Lee, Hwalsuk} booktitle={神经信息处理系统大会文档智能专题研讨会} year={2019} } ### 贡献说明 感谢 [@clovaai](https://github.com/clovaai) 为本数据集的收录提供支持。
数据集概述
基本信息
- 数据集名称: CORD (Consolidated Receipt Dataset)
- 语言: 英语 (en)
- 多语言性: 单语
- 许可证: CC-BY-4.0
- 数据集大小: 1K<n<10K
- 数据来源: 原始数据
- 任务类别: 词元分类
- 任务ID: 解析
数据集结构
数据实例
- 训练集: 800行
- 验证集: 100行
- 测试集: 100行
数据字段
- id: 字符串类型
- words: 字符串序列
- bboxes: 整数序列序列
- labels: 类别标签序列
- images: 图像类型
数据集创建
许可证信息
- 许可证: Creative Commons Attribution 4.0 International License
引用信息
@article{park2019cord, title={CORD: A Consolidated Receipt Dataset for Post-OCR Parsing}, author={Park, Seunghyun and Shin, Seung and Lee, Bado and Lee, Junyeop and Surh, Jaeheung and Seo, Minjoon and Lee, Hwalsuk} booktitle={Document Intelligence Workshop at Neural Information Processing Systems} year={2019} }
