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  1. README.md +14 -6
README.md CHANGED
@@ -4,7 +4,7 @@ language:
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  - zh
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  task_categories:
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  - image-to-text
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- pretty_name: CASIA
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  dataset_info:
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  features:
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  - name: image
@@ -19,12 +19,18 @@ dataset_info:
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  - name: test
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  num_examples: 10441
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  dataset_size: 52160
 
 
 
 
 
 
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  ---
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- # CASIA Dataset
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  ## Table of Contents
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- - [CASIA Dataset](#casia-dataset)
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  - [Table of Contents](#table-of-contents)
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)
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  ## Dataset Description
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- - **Homepage:** [CASIA](http://www.nlpr.ia.ac.cn/databases/handwriting/Download.html)
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  - **Paper:** [Online and offline handwritten Chinese character recognition: Benchmarking on new databases](https://www.sciencedirect.com/science/article/abs/pii/S0031320312002919)
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  - **Point of Contact:** [TEKLIA](https://teklia.com)
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  ## Dataset Summary
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- The offline Chinese handwriting database (CASIA-HWDB) was built by the National Laboratory of Pattern Recognition (NLPR), Institute of Automation of Chinese Academy of Sciences (CASIA).
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  The handwritten samples were produced by 1,020 writers using Anoto pen on papers, such that both online and offline data were obtained.
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  ### Languages
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  All the documents in the dataset are written in Chinese.
@@ -62,5 +70,5 @@ All the documents in the dataset are written in Chinese.
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  ### Data Fields
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- - `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].
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  - `text`: the label transcription of the image.
 
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  - zh
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  task_categories:
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  - image-to-text
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+ pretty_name: CASIA-HWDB2-line
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  dataset_info:
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  features:
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  - name: image
 
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  - name: test
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  num_examples: 10441
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  dataset_size: 52160
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+ tags:
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+ - atr
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+ - htr
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+ - ocr
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+ - modern
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+ - handwritten
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  ---
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+ # CASIA-HWDB2 - line level
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  ## Table of Contents
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+ - [CASIA-HWDB2 - line level](#casia-hwdb2-line-level)
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  - [Table of Contents](#table-of-contents)
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)
 
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  ## Dataset Description
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+ - **Homepage:** [CASIA-HWDB2](http://www.nlpr.ia.ac.cn/databases/handwriting/Download.html)
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  - **Paper:** [Online and offline handwritten Chinese character recognition: Benchmarking on new databases](https://www.sciencedirect.com/science/article/abs/pii/S0031320312002919)
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  - **Point of Contact:** [TEKLIA](https://teklia.com)
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  ## Dataset Summary
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+ The offline Chinese handwriting database (CASIA-HWDB2) was built by the National Laboratory of Pattern Recognition (NLPR), Institute of Automation of Chinese Academy of Sciences (CASIA).
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  The handwritten samples were produced by 1,020 writers using Anoto pen on papers, such that both online and offline data were obtained.
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+ Note that all images are resized to a fixed height of 128 pixels.
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+
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  ### Languages
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  All the documents in the dataset are written in Chinese.
 
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  ### Data Fields
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+ - `image`: a PIL.Image.Image object containing the image. Note that when accessing the image column (using 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].
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  - `text`: the label transcription of the image.