Update README.md

README.md

@@ -4,7 +4,7 @@ language:
 - fr
 task_categories:
 - image-to-text
-pretty_name: Belfort
+pretty_name: Belfort-line
 dataset_info:
   features:
   - name: image
@@ -19,12 +19,18 @@ dataset_info:
   - name: test
     num_examples: 2829
   dataset_size: 105231
+tags:
+  - atr
+  - htr
+  - ocr
+  - historical
+  - handwritten
 ---
 
-# Belfort Dataset
+# Belfort - line level
 
 ## Table of Contents
-- [Belfort Dataset](#belfort-dataset)
+- [Belfort - line level](#belfort-line-level)
   - [Table of Contents](#table-of-contents)
   - [Dataset Description](#dataset-description)
     - [Languages](#languages)
@@ -44,6 +50,8 @@ dataset_info:
 The Belfort dataset includes minutes of the municipal council of the French city of Belfort. 
 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.
 
+Note that all images are resized to a fixed height of 128 pixels.
+
 ### Languages
 
 All the documents in the dataset are written in French.
@@ -62,5 +70,5 @@ All the documents in the dataset are written in French.
 ### Data Fields
 
 
-- `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].
+- `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].
 - `text`: the label transcription of the image.