Update README.md

README.md

@@ -130,14 +130,14 @@ configs:
 ```python
 from datasets import load_dataset
 
-# Everything
-ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons")
+# Everything -- massive, you will need streaming
+ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", streaming=True)
 
-# Single dump, all languages
+# Single dump, all languages -- large, you may need streaming on non-server hardware
 ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "CC-MAIN-2019-30")
 
-# Single language, all dumps
-ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "nld")
+# Single language, all dumps -- very large, you will likely need streaming
+ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "nld", streaming=True)
 
 # Single language, single dump
 ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "CC-MAIN-2019-30-nld")
@@ -252,7 +252,7 @@ ds = ds.filter(
   month = feb,
   title = {{CommonCrawl-CreativeCommons}},
   url = {https://github.com/BramVanroy/CommonCrawl-CreativeCommons},
-  version = {1.1.0},
+  version = {1.3.0},
   year = {2025}
 }
 ```
@@ -260,7 +260,8 @@ ds = ds.filter(
 
 ## Acknowledgments
 
-- [TNO](https://www.tno.nl/nld/), who funded the work hours to accomplish this collection. They intend to use parts of this material for the [GPT-NL project](https://gpt-nl.nl/).
+- The [Common Crawl](https://commoncrawl.org/) non-profit organization. 
+- [TNO](https://www.tno.nl/nl/), who funded the work hours to accomplish this code. They intend to use (parts of) [the generated material](https://huggingface.co/datasets/BramVanroy/CommonCrawl-CreativeCommons) for the [GPT-NL project](https://gpt-nl.nl/).
 - [Flemish Supercomputer Center](https://www.vscentrum.be/) for part of the compute under grant 2024-107
 - Guilherme Penedo ([@guipenedo](https://huggingface.co/guipenedo)) and the rest of the [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) and [datatrove](https://github.com/huggingface/datatrove) team for the help and insights
-- ML6 and specifically Robin Van Craenenbroek for their [Fondant Creative Commons](https://github.com/ml6team/fondant-usecase-filter-creative-commons/tree/add-fondant-usecase-cc-image-extraction) filter for image datasets. While my approach is different, their code did serve as inspiration.
+- ML6 and specifically Robin Van Craenenbroek for their [Fondant Creative Commons](https://github.com/ml6team/fondant-usecase-filter-creative-commons/tree/add-fondant-usecase-cc-image-extraction) filter for image datasets. While my approach is different, their code did serve as inspiration.