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Datasets:
Teklia
/
CASIA-HWDB2-line

Tasks:
Image-to-Text
Modalities:
Image
Text
Formats:
parquet
Languages:
Chinese
Size:
10K - 100K
Tags:
atr
htr
ocr
modern
handwritten
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
2
CASIA-HWDB2-line
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---
license: mit
language:
- zh
task_categories:
- image-to-text
pretty_name: CASIA
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
  - name: train
    num_examples: 33401
  - name: validation
    num_examples: 8318
  - name: test
    num_examples: 10441
  dataset_size: 52160
---

# CASIA Dataset

## Table of Contents
- [CASIA Dataset](#casia-dataset)
  - [Table of Contents](#table-of-contents)
  - [Dataset Description](#dataset-description)
    - [Dataset Summary](#dataset-summary)
    - [Languages](#languages)
  - [Dataset Structure](#dataset-structure)
    - [Data Instances](#data-instances)
    - [Data Fields](#data-fields)

## Dataset Description

- **Homepage:** [CASIA](http:///)
- **Source:** [IEHHR](https://rrc.cvc.uab.es/?ch=10&com=evaluation&task=1)
- **Paper:** [The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition](https://doi.org/10.1016/j.patcog.2012.11.024)
- **Point of Contact:** [TEKLIA](https://teklia.com)

## Dataset Summary

The Marriage Licenses ground-truth is compiled from the Marriage Licenses Books conserved at the Archives of the Cathedral of Barcelona.

### Languages

All the documents in the dataset are written in Chinese.

## Dataset Structure

### Data Instances

```
{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1244x128 at 0x1A800E8E190,
  'text': '2007年高校招生录取工作即将陆续展开,教育部有关负责人'
}
```

### Data Fields


- `image`: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
- `text`: the label transcription of the image.