Update README.md

README.md

@@ -19,12 +19,18 @@ dataset_info:
   - name: test
     num_examples: 6932
   dataset_size: 74806
+tags:
+  - atr
+  - htr
+  - ocr
+  - historical
+  - handwritten
 ---
 
-# HOME Alcar Dataset
+# HOME-Alcar - line level
 
 ## Table of Contents
-- [Alcar Dataset](#alcar-dataset)
+- [HOME-Alcar - line level](#alcar-dataset)
   - [Table of Contents](#table-of-contents)
   - [Dataset Description](#dataset-description)
     - [Languages](#languages)
@@ -40,7 +46,7 @@ dataset_info:
 
 ## Dataset Summary 
 
-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. 
+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. 
 
 ### Languages
 
@@ -60,5 +66,5 @@ All the documents in the dataset are written in Latin.
 ### 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.