Update README.md

README.md

@@ -28,4 +28,49 @@ configs:
     path: data/val-*
   - split: test
     path: data/test-*
+tags:
+- document-layout-analysis
+- historical-documents
+- icdar-competition
+pretty_name: ICDAR 2019 Competition on Baseline Detection (cBAD)
+license: cc-by-4.0
 ---
+# ICDAR 2019 Competition on Baseline Detection (cBAD) Dataset
+
+## Dataset Description
+
+The **ICDAR 2019 Competition on Baseline Detection (cBAD)** dataset was developed for the eponymous competition focused on **Baseline Detection** in historical documents. Baseline detection is a critical step for segmenting handwritten lines before Handwritten Text Recognition (HTR).
+
+This is a newly created, real-world dataset consisting of **3,021 annotated document page images** collected from **seven different European archives**.
+
+## Dataset Creation
+
+### Source Data
+
+The document images were collected from various archival sources across Europe as part of the **READ project** (Recognition and Enrichment of Archival Documents).
+
+### Creators
+
+The primary creators of the competition and dataset are: **Markus Diem, Florian Kleber, and Basilis Gatos**.
+
+### Funding
+
+The dataset was created under the auspices of the European Commission's **READ (Recognition and Enrichment of Archival Documents)** project (Grant ID: 674943).
+
+## License
+
+The dataset is licensed under the **Creative Commons Attribution 4.0 International (CC-BY-4.0)** license.
+
+## Citation
+
+When using this dataset, please cite the original Zenodo record as follows:
+
+```bibtex
+@dataset{DiemKleberGatos2019,
+  author    = {Diem, Markus and Kleber, Florian and Gatos, Basilis},
+  title     = {{ICDAR 2019 Competition on Baseline Detection (cBAD)}},
+  publisher = {Zenodo},
+  year      = {2019},
+  doi       = {10.5281/zenodo.3568023},
+  url       = {[https://zenodo.org/records/3568023](https://zenodo.org/records/3568023)}
+}