Files changed (1) hide show
  1. README.md +12 -4
README.md CHANGED
@@ -4,7 +4,7 @@ language:
4
  - fr
5
  task_categories:
6
  - image-to-text
7
- pretty_name: Belfort
8
  dataset_info:
9
  features:
10
  - name: image
@@ -19,12 +19,18 @@ dataset_info:
19
  - name: test
20
  num_examples: 2829
21
  dataset_size: 105231
 
 
 
 
 
 
22
  ---
23
 
24
- # Belfort Dataset
25
 
26
  ## Table of Contents
27
- - [Belfort Dataset](#belfort-dataset)
28
  - [Table of Contents](#table-of-contents)
29
  - [Dataset Description](#dataset-description)
30
  - [Languages](#languages)
@@ -44,6 +50,8 @@ dataset_info:
44
  The Belfort dataset includes minutes of the municipal council of the French city of Belfort.
45
  Text lines were extracted using an automatic model and may contain segmentation errors. The transcriptions were obtained through a crowdsourcing campaign using the [Callico](https://callico.teklia.com/projects/ce9b42d4-23a8-4381-b5bb-459bedc59165/details/) web plateform.
46
 
 
 
47
  ### Languages
48
 
49
  All the documents in the dataset are written in French.
@@ -62,5 +70,5 @@ All the documents in the dataset are written in French.
62
  ### Data Fields
63
 
64
 
65
- - `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].
66
  - `text`: the label transcription of the image.
 
4
  - fr
5
  task_categories:
6
  - image-to-text
7
+ pretty_name: Belfort-line
8
  dataset_info:
9
  features:
10
  - name: image
 
19
  - name: test
20
  num_examples: 2829
21
  dataset_size: 105231
22
+ tags:
23
+ - atr
24
+ - htr
25
+ - ocr
26
+ - historical
27
+ - handwritten
28
  ---
29
 
30
+ # Belfort - line level
31
 
32
  ## Table of Contents
33
+ - [Belfort - line level](#belfort-line-level)
34
  - [Table of Contents](#table-of-contents)
35
  - [Dataset Description](#dataset-description)
36
  - [Languages](#languages)
 
50
  The Belfort dataset includes minutes of the municipal council of the French city of Belfort.
51
  Text lines were extracted using an automatic model and may contain segmentation errors. The transcriptions were obtained through a crowdsourcing campaign using the [Callico](https://callico.teklia.com/projects/ce9b42d4-23a8-4381-b5bb-459bedc59165/details/) web plateform.
52
 
53
+ Note that all images are resized to a fixed height of 128 pixels.
54
+
55
  ### Languages
56
 
57
  All the documents in the dataset are written in French.
 
70
  ### Data Fields
71
 
72
 
73
+ - `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].
74
  - `text`: the label transcription of the image.