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README.md
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### Dataset Summary
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### Supported Tasks and Leaderboards
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### Languages
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## Dataset Structure
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### Data Instances
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### Data Fields
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### Data Splits
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## Dataset Creation
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### Dataset Summary
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This dataset comprises of open-domain question-answer pairs obtained from extracting 100K FAQ URLs from C4 dataset. Please refer to the original [`paper`](https://arxiv.org/abs/1910.10683) and [`dataset card`](https://huggingface.co/datasets/c4) for more details.
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You can load C4-FAQs as follows:
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```python
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from datasets import load_dataset
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c4_faqs_dataset = load_dataset("vishal-burman/c4-faqs")
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```
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### Supported Tasks and Leaderboards
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C4-FAQs is mainly intended for open-domain end-to-end question generation. It can also be used for open-domain question answering.
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### Languages
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C4-FAQs only supports English language.
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## Dataset Structure
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### Data Instances
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An example of a single dataset point:
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```python
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{'faq_pairs': [{'question': 'What should I bring for the tour?', 'answer': 'Nothing special, just be ready to walk for bit and potentially something to protect you from poltergeists and rain. Any kind of amulet or protection stone is also welcome.'}, {'question': 'Can kids join too ?', 'answer': 'Yes, we accept kids from 6 years old and on! We also have a family discount, if you book for 2 adults and 2 kids!'}, {'question': 'Where is the meeting point ?', 'answer': 'Brussels has many paved roads and those are hardly accessible with a wheelchair, for that reason we have to unfortunately label our tour as not wheelchair accessible.'}]}
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```
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### Data Fields
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The data have several fields:
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- `url`: URL of the webpage containing the FAQs
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- `faq_pairs`: A list of question-answer pairs extracted from the webpage
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- `question`: A single question as a string
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- `answer`: A single answer to the above question as a string
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### Data Splits
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| subset | total |
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| train | 100K |
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## Dataset Creation
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