update readme

README.md

@@ -13,7 +13,7 @@ size_categories:
 source_datasets: []
 tags:
 - manuscripts
-- lam
+- LAM
 task_categories:
 - object-detection
 task_ids: []
@@ -73,8 +73,6 @@ This dataset has two configurations. These configurations both cover the same da
 
 ### Data Instances
 
-Provide an JSON-formatted example and brief description of a typical instance in the dataset. If available, provide a link to further examples.
-
 An example instance from the COCO config:
 
 ```
@@ -196,8 +194,6 @@ An example instance from the YOLO config:
 ```
 
 
-Provide any additional information that is not covered in the other sections about the data here. In particular describe any relationships between data points and if these relationships are made explicit.
-
 
 ### Data Fields
 
@@ -243,6 +239,8 @@ This dataset was created to produce a simplified version of the [Lectaurep Reper
 
 > around 16 different ways to describe columns, from Col1 to Col7, the case-different col1-col7 and finally ColPair and ColOdd, which we all reduced to Col p.8
 
+
+
 ### Source Data
 
 #### Initial Data Collection and Normalization
@@ -277,16 +275,17 @@ The LECTAUREP (LECTure Automatique de REPertoires) project, which began in 2018,
 
 ### Personal and Sensitive Information
 
-This data does not contain information relating to living individuals. 
+This data does not contain information relating to living individuals.
+
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-There are a growing number of datasets related to page layout for historical documents. This dataset offers a differnet approach to annotating these datasets (focusing on object detection rather than pixel level annotations).
+There are a growing number of datasets related to page layout for historical documents. This dataset offers a different approach to annotating these datasets (focusing on object detection rather than pixel level annotations). Improving document layout recognition can have a positive impact on downstream tasks, in particular Optical Character Recognition.
 
 ### Discussion of Biases
 
-Historical documents contain a broad variety of page layouts this means that the ability for models trained on this dataset to transfer to documents which may contain very different layouts is not certain. 
+Historical documents contain a wide variety of page layouts. This means that the ability of models trained on this dataset to transfer to documents which may have very different layouts is not guaranteed. 
 
 ### Other Known Limitations
 
@@ -325,4 +324,4 @@ Historical documents contain a broad variety of page layouts this means that the
     
 ### Contributions
 
-Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
+Thanks to [@davanstrien](https://github.com/davanstrien) for adding this dataset.