
# Dataset Card for Yandex.Q

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Citation Information](#citation-information)

## Dataset Description

- **Repository:** https://github.com/its5Q/yandex-q

### Dataset Summary

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.
The full dataset that includes all metadata returned by Yandex.Q APIs and contains unanswered questions can be found in `full.jsonl.gz`

### Languages

The dataset is mostly in Russian, but there may be other languages present

## Dataset Structure

### Data Fields

The dataset consists of 3 fields:
- `question` - question title (`string`)
- `description` - question description (`string` or `null`)
- `answer` - answer to the question (`string`)

### Data Splits

All 836810 examples are in the train split, there is no validation split.

## Dataset Creation

The data was scraped through some "hidden" APIs using several scripts, located in [my GitHub repository](https://github.com/its5Q/yandex-q)

## Additional Information

### Dataset Curators

- https://github.com/its5Q

task_categories:text-generation task_categories:question-answering task_ids:language-modeling task_ids:open-domain-qa annotations_creators:crowdsourced language_creators:crowdsourced multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:ru license:cc0-1.0 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ru"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-generation", "question-answering"], "task_ids": ["language-modeling", "open-domain-qa"], "pretty_name": "Yandex.Q", "tags": []}
TAGS
#task_categories-text-generation #task_categories-question-answering #task_ids-language-modeling #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Russian #license-cc0-1.0 #region-us 


# Dataset Card for Yandex.Q

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Fields
  - Data Splits
- Dataset Creation
- Additional Information
  - Dataset Curators
  - Citation Information

## Dataset Description

- Repository: URL

### Dataset Summary

This is a dataset of questions and answers scraped from Yandex.Q. There are 836810 answered questions out of the total of 1297670.
The full dataset that includes all metadata returned by Yandex.Q APIs and contains unanswered questions can be found in 'URL'

### Languages

The dataset is mostly in Russian, but there may be other languages present

## Dataset Structure

### Data Fields

The dataset consists of 3 fields:
- 'question' - question title ('string')
- 'description' - question description ('string' or 'null')
- 'answer' - answer to the question ('string')

### Data Splits

All 836810 examples are in the train split, there is no validation split.

## Dataset Creation

The data was scraped through some "hidden" APIs using several scripts, located in my GitHub repository

## Additional Information

### Dataset Curators

- URL

# Dataset Card for Yandex.Q ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Fields
  - Data Splits
- Dataset Creation
- Additional Information
  - Dataset Curators
  - Citation Information ## Dataset Description

- Repository: URL ### Dataset Summary

This is a dataset of questions and answers scraped from Yandex.Q. There are 836810 answered questions out of the total of 1297670.
The full dataset that includes all metadata returned by Yandex.Q APIs and contains unanswered questions can be found in 'URL' ### Languages

The dataset is mostly in Russian, but there may be other languages present ## Dataset Structure ### Data Fields

The dataset consists of 3 fields:
- 'question' - question title ('string')
- 'description' - question description ('string' or 'null')
- 'answer' - answer to the question ('string') ### Data Splits

All 836810 examples are in the train split, there is no validation split. ## Dataset Creation

The data was scraped through some "hidden" APIs using several scripts, located in my GitHub repository ## Additional Information ### Dataset Curators

- URL
TAGS
#task_categories-text-generation #task_categories-question-answering #task_ids-language-modeling #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Russian #license-cc0-1.0 #region-us 
 # Dataset Card for Yandex.Q ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Fields
  - Data Splits
- Dataset Creation
- Additional Information
  - Dataset Curators
  - Citation Information ## Dataset Description

- Repository: URL ### Dataset Summary

This is a dataset of questions and answers scraped from Yandex.Q. There are 836810 answered questions out of the total of 1297670.
The full dataset that includes all metadata returned by Yandex.Q APIs and contains unanswered questions can be found in 'URL' ### Languages

The dataset is mostly in Russian, but there may be other languages present ## Dataset Structure ### Data Fields

The dataset consists of 3 fields:
- 'question' - question title ('string')
- 'description' - question description ('string' or 'null')
- 'answer' - answer to the question ('string') ### Data Splits

All 836810 examples are in the train split, there is no validation split. ## Dataset Creation

The data was scraped through some "hidden" APIs using several scripts, located in my GitHub repository ## Additional Information ### Dataset Curators

- URL