task_categories:question-answering task_categories:text-generation task_categories:text-classification task_ids:closed-domain-qa task_ids:extractive-qa task_ids:open-domain-qa task_ids:dialogue-modeling task_ids:language-modeling task_ids:acceptability-classification task_ids:text-scoring annotations_creators:no-annotation language_creators:machine-generated multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:en license:wtfpl math region:us
This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
---
license: wtfpl
annotations_creators:
  - no-annotation
language:
  - en
language_creators:
  - machine-generated
multilinguality:
  - monolingual
pretty_name: math-stackexchange-qa
size_categories:
  - 100K<n<1M
source_datasets:
  - original
tags:
  - math
task_categories:
  - question-answering
  - text-generation
  - text-classification
task_ids:
  - closed-domain-qa
  - extractive-qa
  - open-domain-qa
  - dialogue-modeling
  - language-modeling
  - acceptability-classification
  - text-scoring
---
# Mathematics StackExchange Dataset

This dataset contains questions and answers from Mathematics StackExchange (math.stackexchange.com). The data was collected using the Stack Exchange API. Total collected questions 465.295.

## Data Format

The dataset is provided in JSON Lines format, with one JSON object per line. Each object contains the following fields:

- `id`: the unique ID of the question
- `asked_at`: the timestamp when the question was asked
- `author_name`: the name of the author who asked the question
- `author_rep`: the reputation of the author who asked the question
- `score`: the score of the question
- `title`: the title of the question
- `tags`: a list of tags associated with the question
- `body`: the body of the question
- `comments`: a list of comments on the question, where each comment is represented as a dictionary with the following fields:
  - `id`: the unique ID of the comment
  - `body`: the body of the comment
  - `at`: the timestamp when the comment was posted
  - `score`: the score of the comment
  - `author`: the name of the author who posted the comment
  - `author_rep`: the reputation of the author who posted the comment
- `answers`: a list of answers to the question, where each answer is represented as a dictionary with the following fields:
    - `id`: the unique ID of the answer
    - `body`: the body of the answer
    - `score`: the score of the answer
    - `ts`: the timestamp when the answer was posted
    - `author`: the name of the author who posted the answer
    - `author_rep`: the reputation of the author who posted the answer
    - `accepted`: whether the answer has been accepted
    - `comments`: a list of comments on the answer, where each comment is represented as a dictionary with the following fields:
        - `id`: the unique ID of the comment
        - `body`: the body of the comment
        - `at`: the timestamp when the comment was posted
        - `score`: the score of the comment
        - `author`: the name of the author who posted the comment
        - `author_rep`: the reputation of the author who posted the comment

## Preprocessing

There was no preprocessing done, this dataset contains raw unfiltered data, also there might be problems with redundant line breaks or spacings

## License

This dataset is released under the [WTFPL](http://www.wtfpl.net/txt/copying/) license.

## Contact

For any questions or comments about the dataset, please contact nurik040404@gmail.com.