Update README.md

README.md

@@ -1889,10 +1889,10 @@ The **WebFAQ Q&A Dataset** is a broad-coverage corpus of **96 million** natural
 
 The WebFAQ collection further includes:
 1. **Retrieval Datasets**  
-   If you need a curated subset of WebFAQ for **training or benchmarking retrieval models**, check out the [WebFAQ Retrieval Datasets](https://huggingface.co/datasets/anonymous202501/webfaq-retrieval), which include official train/test splits in 20 languages.
+   If you need a curated subset of WebFAQ for **training or benchmarking retrieval models**, check out the [WebFAQ Retrieval Datasets](https://huggingface.co/datasets/PaDaS-Lab/webfaq-retrieval), which include official train/test splits in 20 languages.
 
 2. **Bilingual Corpora**  
-   WebFAQ also provides **QA-aligned bilingual datasets** (bitexts) created via state-of-the-art cross-lingual sentence embedding and automated translation evaluation. These can be used for **machine translation, bitext mining**, or **cross-lingual IR** experiments. Please check out the check out the [WebFAQ Bilingual Datasets](https://huggingface.co/datasets/anonymous202501/webfaq-bitexts) for more information.
+   WebFAQ also provides **QA-aligned bilingual datasets** (bitexts) created via state-of-the-art cross-lingual sentence embedding and automated translation evaluation. These can be used for **machine translation, bitext mining**, or **cross-lingual IR** experiments. Please check out the check out the [WebFAQ Bilingual Datasets](https://huggingface.co/datasets/PaDaS-Lab/webfaq-bitexts) for more information.
 
 ## Details
 
@@ -1974,7 +1974,7 @@ Below is an example in Python using the 🤗 [Datasets library](https://github.c
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("anonymous202501/webfaq", "eng")["default"]
+dataset = load_dataset("PaDaS-Lab/webfaq", "eng")["default"]
 
 print(dataset[0])
 # Example output: