Update README.md

README.md

@@ -4,12 +4,10 @@ annotations_creators:
 license: other
 pretty_name: DocLayNet small
 size_categories:
-- n<1K
+- 1K<n<10K
 tags:
 - DocLayNet
-- layout-segmentation
 - COCO
-- document-understanding
 - PDF
 - IBM
 - Financial-Reports
@@ -22,6 +20,9 @@ tags:
 - Regulations
 - Patents
 - Government-Tenders
+- object-detection
+- image-segmentation
+- token-classification
 task_categories:
 - object-detection
 - image-segmentation
@@ -55,6 +56,13 @@ Until today, the dataset can be downloaded through direct links or as a dataset
 - direct links: [doclaynet_core.zip](https://codait-cos-dax.s3.us.cloud-object-storage.appdomain.cloud/dax-doclaynet/1.0.0/DocLayNet_core.zip) (28 GiB), [doclaynet_extra.zip](https://codait-cos-dax.s3.us.cloud-object-storage.appdomain.cloud/dax-doclaynet/1.0.0/DocLayNet_extra.zip) (7.5 GiB)
 - Hugging Face dataset library: [dataset DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet)
 
+Paper: [DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis](https://arxiv.org/abs/2206.01062) (06/02/2022)
+
+### About languages of DocLayNet PDFs
+
+Citation of the page 3 of the [DocLayNet paper](https://arxiv.org/abs/2206.01062):
+"We did not control the document selection with regard to language. The vast majority of documents contained in DocLayNet (close to 95%) are published in English language. However, DocLayNet also contains a number of documents in other languages such as German (2.5%), French (1.0%) and Japanese (1.0%). While the document language has negligible impact on the performance of computer vision methods such as object detection and segmentation models, it might prove challenging for layout analysis methods which exploit textual features."
+
 ### Processing into a format facilitating its use by HF notebooks
 
 These 2 options require the downloading of all the data (approximately 30GBi), which requires downloading time (about 45 mn in Google Colab) and a large space on the hard disk. These could limit experimentation for people with low resources.