| | --- |
| | 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. |