Update README.md

README.md

@@ -493,20 +493,20 @@ dataset_info:
 🌐 [Homepage](https://bigdocs.github.io) | 📖 [arXiv](https://arxiv.org/pdf/2412.04626)
 
 
-## 🔔 News
-
-- **[2025-04-23]: Initial release of the BigDocs-7.5M data.**
-
-
 ## Guide on Data Loading
 Some parts of BigDocs-7.5M are distributed without their "image" column, and instead have an "img_id" column. The file `get_bigdocs_75m.py`, part of this repository, provides tooling to substitutes such images back in.
 
 ```python
 from get_bigdocs_75m import get_bigdocs_75m
 
+arxivocr = get_bigdocs_75m("ArxivOCR")
+arxivtablecap = get_bigdocs_75m("ArxivTableCap")
 cocotext = get_bigdocs_75m("COCOtext", user_local_path=".../train2014")
 pubtables1m = get_bigdocs_75m("pubtables-1m", user_local_path=".../PubTables-1M-Detection/images")
 textocr = get_bigdocs_75m("TextOCR", user_local_path=".../train")
+tabfact = get_bigdocs_75m("TabFact", user_local_path=".../Table-Fact-Checking")
+open4business = get_bigdocs_75m("Open4Business", user_local_path=".../Open4Business")
+wikitq = get_bigdocs_75m("WikiTQ", user_local_path=".../WikiTableQuestions")
 ```
 
 When specified, `user_local_path` must point to one of the third-party datasets listed below.
@@ -514,8 +514,11 @@ When specified, `user_local_path` must point to one of the third-party datasets
     - COCOtext: http://images.cocodataset.org/zips/train2014.zip
     - pubtables-1m: https://www.microsoft.com/en-us/research/publication/pubtables-1m
     - TextOCR: https://dl.fbaipublicfiles.com/textvqa/images/train_val_images.zip
+    - TabFact: https://github.com/wenhuchen/Table-Fact-Checking
+    - Open4Business: https://github.com/amanpreet692/Open4Business
+    - WikiTQ: https://github.com/ppasupat/WikiTableQuestions
 
-See the docstring in `get_bigdocs_75m.py` for more details.
+You may specify `num_proc` as you would for `datasets.map`. See the docstring in `get_bigdocs_75m.py` for more details.
 
 
 ## Licensing