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README.md
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---
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annotations_creators:
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- crowdsourced
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language:
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- ru
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language_creators:
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- crowdsourced
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license:
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- cc0-1.0
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multilinguality:
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- monolingual
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pretty_name: Yandex.Q
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size_categories:
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- 100K<n<1M
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source_datasets:
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- original
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tags: []
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task_categories:
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- text-generation
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- question-answering
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task_ids:
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- language-modeling
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- open-domain-qa
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---
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# Dataset Card for Yandex.Q
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Repository:** https://github.com/its5Q/yandex-q
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### Dataset Summary
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This is a dataset of questions and answers scraped from [Yandex.Q](https://yandex.ru/q/). There are 836810 answered questions out of the total of 1297670.
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### Languages
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The dataset is mostly in Russian, but there may be other languages present
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## Dataset Structure
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### Data Fields
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The dataset consists of 3 fields:
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- `question` - question title (`string`)
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- `description` - question description (`string` or `null`)
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- `answer` - answer to the question (`string`)
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### Data Splits
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All 836810 examples are in the train split, there is no validation split.
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## Dataset Creation
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The data was scraped through some "hidden" APIs using several scripts, located in [my GitHub repository](https://github.com/its5Q/yandex-q)
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## Additional Information
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### Dataset Curators
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- https://github.com/its5Q
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