Update README.md

README.md

@@ -47,7 +47,7 @@ tags:
 size_categories:
 - 100K<n<1M
 ---
-# GenDocVQA-2024
+# GenDocVQA
 
 This dataset provides a broad set of documents with questions related to their contents.
 These questions are non-extractive, meaning that the model, which solves our task should be 
@@ -62,7 +62,7 @@ generative and compute the answers by itself.
 In order to load dataset using following code:
 
 ```python
-ds = datasets.load_dataset('lenagibee/GenDocVQA2024')
+ds = datasets.load_dataset('lenagibee/GenDocVQA')
 ```
 
 ds is a dict consisting from two splits `train` and `validation`.
@@ -74,15 +74,15 @@ im = Image.open(ds['train'][0]['image_path'])
 ```
 
 Dataset generator:
-https://huggingface.co/datasets/lenagibee/GenDocVQA2024/resolve/main/GenDocVQA2024.py?download=true
+https://huggingface.co/datasets/lenagibee/GenDocVQA/resolve/main/GenDocVQA.py?download=true
 
 ## Dataset Structure
 
 All the necessary data is stored in the following archives:
 
-* Images: https://huggingface.co/datasets/lenagibee/GenDocVQA2024/resolve/main/archives/gendocvqa2024_imgs.tar.gz?download=true
-* OCR: https://huggingface.co/datasets/lenagibee/GenDocVQA2024/resolve/main/archives/gendocvqa2024_ocr.tar.gz?download=true
-* Annotations: https://huggingface.co/datasets/lenagibee/GenDocVQA2024/resolve/main/archives/gendocvqa2024_annotations.tar.gz?download=true
+* Images: https://huggingface.co/datasets/lenagibee/GenDocVQA/resolve/main/archives/gendocvqa2024_imgs.tar.gz?download=true
+* OCR: https://huggingface.co/datasets/lenagibee/GenDocVQA/resolve/main/archives/gendocvqa2024_ocr.tar.gz?download=true
+* Annotations: https://huggingface.co/datasets/lenagibee/GenDocVQA/resolve/main/archives/gendocvqa2024_annotations.tar.gz?download=true
 
 Data parsing is already implemented in the attached dataset generator.
 Images should be processed by the user himself.
@@ -182,6 +182,15 @@ The questions from each dataset were filtered by the types of the questions,
 leaving only non-extractive questions, related to one page. After that the questions
 were paraphrased.
 
+### Source Data Licenses
+
+The dataset adheres to the licenses of its constituents.
+1. SlideVQA: https://github.com/nttmdlab-nlp/SlideVQA/blob/main/LICENSE
+2. PDFVQA: https://github.com/adlnlp/pdfvqa (Unknown)
+3. InfographicsVQA: https://www.docvqa.org/datasets/infographicvqa (Unknown)
+4. TAT-DQA: https://nextplusplus.github.io/TAT-DQA/ (CC BY 4.0)
+5. DUDE: https://github.com/duchallenge-team/dude/blob/main/LICENSE (GPL 3.0)
+
 ## Dataset Card Contact
 Please feel free to contact in the community page of this dataset of via 
 the Telegram chat of the challenge: