Datasets:
Update README.md
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README.md
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---
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# MQA
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MQA is a Multilingual corpus of Questions and Answers (MQA) parsed from the [Common Crawl](https://commoncrawl.org/). Questions are divided in two types: *Frequently Asked Questions (FAQ)* and *Community Question Answering (CQA)*.
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```
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from datasets import load_dataset
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all = load_dataset("clips/mqa", language="en")
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{
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## Languages
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We collected around **234M pairs** of questions and answers in **39 languages**. To download a language specific subset you need to specify the language key as configuration. See below for an example.
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```
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load_dataset("clips/mqa", language="en") # replace "en" by any language listed below
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```
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## FAQ vs. CQA
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You can download the *Frequently Asked Questions* (FAQ) or the *Community Question Answering* (CQA) part of the dataset.
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```
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faq = load_dataset("clips/mqa", scope="faq")
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cqa = load_dataset("clips/mqa", scope="cqa")
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all = load_dataset("clips/mqa", scope="all")
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## Nesting and Data Fields
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You can specify three different nesting level: `question`, `page` and `domain`.
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#### Question
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```
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load_dataset("clips/mqa", level="question") # default
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```
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The default level is the question object:
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#### Page
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This level returns a list of questions present on the same page. This is mostly useful for FAQs since CQAs already have one question per page.
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```
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load_dataset("clips/mqa", level="page")
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```
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#### Domain
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This level returns a list of pages present on the web domain. This is a good way to cope with FAQs duplication by sampling one page per domain at each epoch.
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```
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load_dataset("clips/mqa", level="domain")
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```
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---
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# MQA
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MQA is a Multilingual corpus of Questions and Answers (MQA) parsed from the [Common Crawl](https://commoncrawl.org/). Questions are divided in two types: *Frequently Asked Questions (FAQ)* and *Community Question Answering (CQA)*.
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```python
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from datasets import load_dataset
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all = load_dataset("clips/mqa", language="en")
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{
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## Languages
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We collected around **234M pairs** of questions and answers in **39 languages**. To download a language specific subset you need to specify the language key as configuration. See below for an example.
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```python
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load_dataset("clips/mqa", language="en") # replace "en" by any language listed below
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```
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## FAQ vs. CQA
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You can download the *Frequently Asked Questions* (FAQ) or the *Community Question Answering* (CQA) part of the dataset.
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```python
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faq = load_dataset("clips/mqa", scope="faq")
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cqa = load_dataset("clips/mqa", scope="cqa")
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all = load_dataset("clips/mqa", scope="all")
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## Nesting and Data Fields
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You can specify three different nesting level: `question`, `page` and `domain`.
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#### Question
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```python
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load_dataset("clips/mqa", level="question") # default
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```
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The default level is the question object:
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#### Page
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This level returns a list of questions present on the same page. This is mostly useful for FAQs since CQAs already have one question per page.
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```python
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load_dataset("clips/mqa", level="page")
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```
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#### Domain
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This level returns a list of pages present on the web domain. This is a good way to cope with FAQs duplication by sampling one page per domain at each epoch.
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```python
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load_dataset("clips/mqa", level="domain")
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```
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