Datasets:
Tasks:
Token Classification
Sub-tasks:
parsing
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
License:
File size: 2,259 Bytes
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---
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. |