starride-teklia alexis-imbert commited on
Commit
2c9c0fa
1 Parent(s): 439f57b

Update README.md (#3)

Browse files

- Update README.md (281bdc350aa04445cb24440e88153a5b5e3f4673)


Co-authored-by: Alexis IMBERT <alexis-imbert@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +10 -4
README.md CHANGED
@@ -20,12 +20,18 @@ dataset_info:
20
  - name: test
21
  num_examples: 2240
22
  dataset_size: 23111
 
 
 
 
 
 
23
  ---
24
 
25
- # Himanis Dataset
26
 
27
  ## Table of Contents
28
- - [Himanis Dataset](#himanis-dataset)
29
  - [Table of Contents](#table-of-contents)
30
  - [Dataset Description](#dataset-description)
31
  - [Languages](#languages)
@@ -41,7 +47,7 @@ dataset_info:
41
 
42
  ## Dataset Summary
43
 
44
- Himanis (Historical MAnuscript Indexing for user controlled Search) is a corpus of medieval documents.
45
 
46
  ### Languages
47
 
@@ -61,5 +67,5 @@ All the documents in the dataset are written in Latin and in French.
61
  ### Data Fields
62
 
63
 
64
- - `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].
65
  - `text`: the label transcription of the image.
 
20
  - name: test
21
  num_examples: 2240
22
  dataset_size: 23111
23
+ tags:
24
+ - atr
25
+ - ocr
26
+ - htr
27
+ - historical
28
+ - handwritten
29
  ---
30
 
31
+ # Himanis - line level
32
 
33
  ## Table of Contents
34
+ - [Himanis - line level](#himanis-line-level)
35
  - [Table of Contents](#table-of-contents)
36
  - [Dataset Description](#dataset-description)
37
  - [Languages](#languages)
 
47
 
48
  ## Dataset Summary
49
 
50
+ Himanis (HIstorical MANuscript Indexing for user controlled Search) is a corpus of medieval documents.
51
 
52
  ### Languages
53
 
 
67
  ### Data Fields
68
 
69
 
70
+ - `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. Note that all images are resized to a fixed height of 128 pixels. 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].
71
  - `text`: the label transcription of the image.