Update README.md

README.md

@@ -103,65 +103,45 @@ DocLayNet provides page-by-page layout segmentation ground-truth using bounding-
 
 ## Dataset Structure
 
-### Data Fields
+This dataset is structured differently from the other repository [ds4sd/DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet), as this one includes the content (PDF cells) of the detections, and abandons the COCO format.
 
-* image: PIL image of all pages, resized to square 1025 x 1025px.
-* bboxes: Bounding-box annotations in COCO format for each PNG image.
-* category_id: integer representations of the segmentation labels (see below).
-* segmentation:
-* area:
-* pdf_cells:
-* metadata:
-* pdf: Binary blob with the original PDF image.
+* `image`: page PIL image.
+* `bboxes`: a list of layout bounding boxes.
+* `category_id`: a list of class ids corresponding to the bounding boxes.
+* `segmentation`: a list of layout segmentation polygons.
+* `pdf_cells`: a list of lists corresponding to `bbox`. Each list contains the PDF cells (content) inside the bbox.
+* `metadata`: page and document metadetails.
+* `pdf`: Binary blob with the original PDF image.
 
-
-This is the mapping between the labels and the `category_id`:
+Bounding boxes classes / categories:
 
 ```
-1: "caption"
-2: "footnote"
-3: "formula"
-4: "list_item"
-5: "page_footer"
-6: "page_header"
-7: "picture"
-8: "section_header"
-9: "table"
-10: "text"
-11: "title"
+1: Caption
+2: Footnote
+3: Formula
+4: List-item
+5: Page-footer
+6: Page-header
+7: Picture
+8: Section-header
+9: Table
+10: Text
+11: Title
 ```
 
-The COCO image record are defined like this example
-
-```js
-    ...
-    {
-      "id": 1,
-      "width": 1025,
-      "height": 1025,
-      "file_name": "132a855ee8b23533d8ae69af0049c038171a06ddfcac892c3c6d7e6b4091c642.png",
-
-      // Custom fields:
-      "doc_category": "financial_reports" // high-level document category
-      "collection": "ann_reports_00_04_fancy", // sub-collection name
-      "doc_name": "NASDAQ_FFIN_2002.pdf", // original document filename
-      "page_no": 9, // page number in original document
-      "precedence": 0, // Annotation order, non-zero in case of redundant double- or triple-annotation
-    },
-    ...
-```
 
-The `doc_category` field uses one of the following constants:
+The `["metadata"]["doc_category"]` field uses one of the following constants:
 
 ```
-financial_reports,
-scientific_articles,
-laws_and_regulations,
-government_tenders,
-manuals,
-patents
+* financial_reports,
+* scientific_articles,
+* laws_and_regulations,
+* government_tenders,
+* manuals,
+* patents
 ```
 
+
 ### Data Splits
 
 The dataset provides three splits
@@ -169,27 +149,55 @@ The dataset provides three splits
 - `val`
 - `test`
 
+## Dataset Creation
+
+### Annotations
+
+#### Annotation process
+
+The labeling guideline used for training of the annotation experts are available at [DocLayNet_Labeling_Guide_Public.pdf](https://raw.githubusercontent.com/DS4SD/DocLayNet/main/assets/DocLayNet_Labeling_Guide_Public.pdf).
+
+
+#### Who are the annotators?
+
+Annotations are crowdsourced.
+
 
 ## Additional Information
 
-### Citation Information
+### Dataset Curators
+
+The dataset is curated by the [Deep Search team](https://ds4sd.github.io/) at IBM Research.
+You can contact us at [[email protected]](mailto:[email protected]).
+
+Curators:
+- Christoph Auer, [@cau-git](https://github.com/cau-git)
+- Michele Dolfi, [@dolfim-ibm](https://github.com/dolfim-ibm)
+- Ahmed Nassar, [@nassarofficial](https://github.com/nassarofficial)
+- Peter Staar, [@PeterStaar-IBM](https://github.com/PeterStaar-IBM)
 
-"DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis" (KDD 2022).
+### Licensing Information
 
-    Birgit Pfitzmann (bpf@zurich.ibm.com)
-    Christoph Auer ([email protected])
-    Michele Dolfi ([email protected])
-    Ahmed Nassar ([email protected])
-    Peter Staar ([email protected])
+License: [CDLA-Permissive-1.0](https://cdla.io/permissive-1-0/)
+
+
+### Citation Information
 
-ArXiv link: https://arxiv.org/abs/2206.01062
 
 ```bib
 @article{doclaynet2022,
-  title = {DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis},  
+  title = {DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation},
   doi = {10.1145/3534678.353904},
-  url = {https://arxiv.org/abs/2206.01062},
+  url = {https://doi.org/10.1145/3534678.3539043},
   author = {Pfitzmann, Birgit and Auer, Christoph and Dolfi, Michele and Nassar, Ahmed S and Staar, Peter W J},
-  year = {2022}
+  year = {2022},
+  isbn = {9781450393850},
+  publisher = {Association for Computing Machinery},
+  address = {New York, NY, USA},
+  booktitle = {Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
+  pages = {3743–3751},
+  numpages = {9},
+  location = {Washington DC, USA},
+  series = {KDD '22}
 }
-```
+```