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@@ -30109,7 +30109,7 @@ configs:
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  ## Overview
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- The **WebFAQ Bilingual Datasets** (a.k.a. **Bitexts**) are derived from the [WebFAQ Q&A Dataset](https://huggingface.co/datasets/anonymous202501/webfaq), but instead of monolingual question-answer (QA) pairs, each entry here contains **aligned QA pairs** in **two different languages**. These alignments are created via **state-of-the-art bitext mining** techniques (cross-lingual sentence embeddings) and an **automated translation evaluation** step using an LLM (GPT-4o-mini).
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  The resulting bitext corpora span **over 1,000 language pairs** (from the original 75 languages in WebFAQ), offering a **high-quality resource** for **machine translation, cross-lingual IR**, and **bitext mining** research.
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  }
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  ```
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- **Loading with 🤗 Datasets** (pseudo-example):
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  ```python
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  from datasets import load_dataset
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  # e.g. load the 'deu-jpn' bitext subset
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- dataset = load_dataset("anonymous202501/webfaq-bitexts", "deu-jpn")["default"]
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  print(dataset[0])
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  # Example output:
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  Happy researching!
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  ## Overview
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+ The **WebFAQ Bilingual Datasets** (a.k.a. **Bitexts**) are derived from the [WebFAQ Q&A Dataset](https://huggingface.co/datasets/PaDaS-Lab/webfaq), but instead of monolingual question-answer (QA) pairs, each entry here contains **aligned QA pairs** in **two different languages**. These alignments are created via **state-of-the-art bitext mining** techniques (cross-lingual sentence embeddings) and an **automated translation evaluation** step using an LLM (GPT-4o-mini).
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  The resulting bitext corpora span **over 1,000 language pairs** (from the original 75 languages in WebFAQ), offering a **high-quality resource** for **machine translation, cross-lingual IR**, and **bitext mining** research.
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  }
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  ```
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+ **Loading with 🤗 Datasets**:
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  ```python
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  from datasets import load_dataset
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  # e.g. load the 'deu-jpn' bitext subset
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+ dataset = load_dataset("PaDaS-Lab/webfaq-bitexts", "deu-jpn")["default"]
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  print(dataset[0])
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  # Example output:
 
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  Happy researching!
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+