Update README.md

README.md

@@ -1,109 +0,0 @@
----
-task_categories:
-- image-to-text
-pretty_name: ATR benchmark
-size_categories:
-- n<1K
-language:
-- fr
-- la
-- en
-- no
-- ar
-- zh
-- de
-- nl
-tags:
-- atr
-- htr
-- ocr
-dataset_info:
-  features:
-  - name: dataset
-    dtype: string
-  - name: image
-    dtype: image
-  - name: arkindex_id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: language
-    dtype: string
-  - name: level
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 180132193.0
-    num_examples: 133
-  download_size: 178873479
-  dataset_size: 180132193.0
-configs:
-- config_name: default
-  data_files:
-  - split: test
-    path: data/test-*
----
-
-# ATR benchmark - Page/paragraph level
-
-## Dataset Description
-
-- **Homepage:** [ATR benchmark](https://huggingface.co/datasets/Teklia/ATR-benchmark)
-- **Point of Contact:** [TEKLIA](https://teklia.com)
-
-## Dataset Summary
-
-The ATR benchmark dataset is a multilingual dataset that includes 83 document images, at page or paragraph level. This dataset has been designed to test ATR models and combines data from several public datasets:
-- [BnL Historical Newspapers](https://data.bnl.lu/data/historical-newspapers/)
-- [CASIA-HWDB2](https://nlpr.ia.ac.cn/databases/handwriting/Offline_database.html)
-- [DIY History - Social Justice](http://diyhistory.lib.uiowa.edu/)
-- [DAI-CRETDHI](https://dai-cretdhi.univ-lr.fr/)
-- FINLAM - Historical Newspapers
-- [Horae - Books of hours](https://github.com/oriflamms/HORAE)
-- [IAM](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database)
-- [NorHand v3](https://zenodo.org/records/10255840)
-- [Marius PELLET](https://europeana.transcribathon.eu/documents/story/?story=121795)
-- [RASM](http://www.primaresearch.org/RASM2019/)
-- [READ-2016](https://zenodo.org/records/218236)
-- [RIMES](https://teklia.com/research/rimes-database/)
-- [ScribbleLens](https://openslr.org/84/)
-
-Images are in their original size.
-
-### Split
-
-| dataset                        | images | language         |
-| ------------------------------ | ------:| ---------------- |
-| BnL Historical Newspapers      |      3 | German           |
-| CASIA-HWDB2                    |     10 | Chinese          |
-| DAI-CRETDHI                    |     10 | French           | 
-| DIY History - Social Justice   |     20 | English          |
-| FINLAM - Historical Newspapers |     10 | English / French |
-| Horae - Books of hours         |     10 | Latin            |
-| IAM                            |     10 | English          |
-| NorHand v3                     |     10 | Norwegian        |
-| Marius PELLET                  |     10 | French           |
-| RASM                           |     10 | Arabic           |
-| READ-2016                      |     10 | German           |
-| RIMES                          |     10 | French           |
-| ScribbleLens                   |     10 | Dutch            |
-
-## Dataset Structure
-
-### Data Instances
-
-```
-{
-  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size={img size} at 0x1A800E8E190,
-  'text': '{transcription}'
-}
-```
-
-### Data Fields
-
-- `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].
-- `dataset`: the name of the original dataset.
-- `arkindex_id`: Arkindex element id corresponding to the current page or paragraph.
-- `text`: the label transcription of the image.
-- `language`: language of text on the image.
-- `level`: full document page or a single paragraph.