Update README.md

README.md

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 # DocAttriBench (DAB)
 
-Welcome to the official page of the **DocAttriBench (DAB)** dataset, developed in the paper **“DocAttriBench: Benchmarking Answer Grounding in Document Visual Question Answering”**, accepted at **BMVC 2026** (British Machine Vision Conference).
+Welcome to the official Hugging Face page of the **DocAttriBench (DAB)** dataset, developed in the paper **“DocAttriBench: Benchmarking Answer Grounding in Document Visual Question Answering”**, accepted at **BMVC 2026** (British Machine Vision Conference).
 
 This README provides an overview of the dataset and instructions on how to use it.
 
 ## Dataset Overview
 
-DocAttriBench is a dataset for training and evaluating answer grounding in Document Visual Question Answering. The dataset is built starting from existing document VQA and document understanding datasets. From these source datasets, we use **MAPPET** to obtain the bounding box of the evidence region supporting the answer, together with the semantic type of the evidence region.
+DocAttriBench is a dataset for training and evaluating answer grounding in Document Visual Question Answering. The dataset is constructed from existing document VQA and document understanding datasets. From these source datasets, we use Docling to extract document layout elements and their semantic types, and **MAPPET** to obtain the bounding box of the evidence region supporting the answer.
 
 Each item is composed as follows:
 
@@ -131,6 +131,26 @@ In the paper, the validation split is considered part of the training data. In t
 
 Please also note that **SlideVQA is not included in this release due to licensing constraints**. For this reason, the dataset counts in this Hugging Face version differ from the counts reported in the paper.
 
+## Dataset Licenses
+
+DocAttriBench is derived from multiple existing datasets, each distributed under its own license. The licenses of the source datasets are:
+
+- **DocVQA**: Apache License 2.0
+- **DoclingMatix**: Community Data License Agreement – Permissive 2.0
+- **LongDocURL**: Apache License 2.0
+- **MMLongBench-Doc**: Apache License 2.0
+- **VISA**:
+  - **FineWeb-edu**: Open Data Commons Attribution License family
+  - **NQ**: Apache License 2.0
+  - **PubLayNet**: Community Data License Agreement – Permissive, Version 1.0
+  - **Wikipedia**: Creative Commons Attribution-ShareAlike and GNU Free Documentation License family
+- **VisualMRC**: Creative Commons
+- **VisualWebBench**: Apache License 2.0
+
+**SlideVQA is not distributed as part of this Hugging Face release**, because its license permits usage for testing and evaluation but does not allow redistribution.
+
+Users of DocAttriBench should also comply with the licenses and terms of use of the corresponding source datasets.
+
 ## Evidence Region Types
 
 The following table reports the number of type annotations for each evidence-region type, keeping `train`, `val`, and `test` separate.