Update README.md

README.md

@@ -9,7 +9,7 @@ Cantonese has been a low-resource language in NLP. This dataset is a major step
 
 To our knowledge, this is the **first large-scale, properly curated, and deduplicated web dataset built specifically for Cantonese**. It was created by filtering years of Common Crawl data and a Cantonese language detector, followed by a deduplication process using MinHash.
 
-The result is a high-quality collection of **~250K unique documents** containing **~150 million words**. (as of now with the 2020~2025 dumps) 🚀
+The result is a high-quality collection of **~250K unique documents** containing **~150 million words**. 🚀
 
 ### Dataset Curation Process
 * Downloaded and processed Common Crawl using [code](https://github.com/jedcheng/c4-dataset-script)
@@ -20,4 +20,7 @@ The result is a high-quality collection of **~250K unique documents** containing
 ### Dataset Files
 [CantoneseDetect](https://github.com/CanCLID/cantonesedetect) has two modes: fully Cantonese text or Cantonese text that only present in quotes. 
 
-Both sets of data were cleaned with MinHash and are present in the dataset.
+Both sets of data were cleaned with MinHash and are present in the dataset.
+
+### Acknowoledgement
+Special thanks to [Eons Data Communications Limited](https://eons.cloud/) and [Votee AI](https://votee.ai/) for the compute resources to download and process the Common Crawl Dumps.