Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Size:
1M - 10M
ArXiv:
Tags:
text-retrieval
Upload README.md
Browse files
README.md
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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/
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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("
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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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