Files changed (1) hide show
  1. README.md +10 -4
README.md CHANGED
@@ -19,12 +19,18 @@ dataset_info:
19
  - name: test
20
  num_examples: 6932
21
  dataset_size: 74806
 
 
 
 
 
 
22
  ---
23
 
24
- # HOME Alcar Dataset
25
 
26
  ## Table of Contents
27
- - [Alcar Dataset](#alcar-dataset)
28
  - [Table of Contents](#table-of-contents)
29
  - [Dataset Description](#dataset-description)
30
  - [Languages](#languages)
@@ -40,7 +46,7 @@ dataset_info:
40
 
41
  ## Dataset Summary
42
 
43
- The HOME-Alcar (Aligned and Annotated Cartularies) dataset is a Medieval corpus. The 17 medieval manuscripts in this corpus are cartularies, i.e. books copying charters and legal acts, produced between the 12th and 14th centuries.
44
 
45
  ### Languages
46
 
@@ -60,5 +66,5 @@ All the documents in the dataset are written in Latin.
60
  ### Data Fields
61
 
62
 
63
- - `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].
64
  - `text`: the label transcription of the image.
 
19
  - name: test
20
  num_examples: 6932
21
  dataset_size: 74806
22
+ tags:
23
+ - atr
24
+ - htr
25
+ - ocr
26
+ - historical
27
+ - handwritten
28
  ---
29
 
30
+ # HOME-Alcar - line level
31
 
32
  ## Table of Contents
33
+ - [HOME-Alcar - line level](#alcar-dataset)
34
  - [Table of Contents](#table-of-contents)
35
  - [Dataset Description](#dataset-description)
36
  - [Languages](#languages)
 
46
 
47
  ## Dataset Summary
48
 
49
+ The HOME-Alcar - line level (Aligned and Annotated Cartularies) dataset is a Medieval corpus. The 17 medieval manuscripts in this corpus are cartularies, i.e. books copying charters and legal acts, produced between the 12th and 14th centuries.
50
 
51
  ### Languages
52
 
 
66
  ### Data Fields
67
 
68
 
69
+ - `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].
70
  - `text`: the label transcription of the image.