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---
license: mit
task_categories:
- question-answering
language:
- en
tags:
- agent
---
# Mathematics Stack Exchange Q&A Dataset
A curated dataset of question-and-answer pairs harvested from Mathematics Stack Exchange (math.stackexchange.com). Each entry contains the question, the top answer (if available), metadata (scores, tags, URL), and a combined Q/A text useful for training and evaluation of question-answering and tutoring models.
## Dataset summary
- Source: Mathematics Stack Exchange (via the official Stack Exchange API)
- Content: High-quality Q&A pairs (question title + body, top answer body)
- Formats: CSV and JSON
- Typical fields:
- `question_id` (int)
- `question_title` (string)
- `question_body` (string, cleaned of HTML)
- `question_score` (int)
- `question_tags` (string, comma-separated)
- `question_url` (string)
- `answer_body` (string, cleaned of HTML; empty if no answer)
- `answer_score` (int)
- `answer_accepted` (bool)
- `combined_text` (string, "Q: <title>\n\n<body>\n\nA: <answer or placeholder>")
- `scraped_at` (ISO 8601 timestamp)
Example CSV header:
```
question_id,question_title,question_body,question_score,question_tags,question_url,answer_body,answer_score,answer_accepted,combined_text,scraped_at
```
## License and attribution
Content in this dataset is user-contributed content from Stack Exchange and is licensed under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
When using or redistributing the dataset, include attribution. A suggested attribution statement:
"Data from Mathematics Stack Exchange (math.stackexchange.com). Licensed under CC BY-SA 4.0."
Also include a link to the original question pages (the `question_url` field) when practical.
## How the dataset was generated
The dataset was produced by a script that uses the official Stack Exchange API:
- Requests top-voted mathematics questions (configurable count)
- For each question, fetches the top answer (if any)
- Cleans HTML from bodies (HTML entities unescaped and tags removed), collapses whitespace
- Produces both CSV and JSON exports
- Respects rate limits and inserts polite delays
Notes:
- The generator script is not included in this repository. If you want to include it, add the script file (for example `scripts/generate_math_se_dataset.py`) and reference it here.
- For reproducibility, include the script, the exact arguments used, and the timestamp of generation.
## Regenerating the dataset
Prerequisites:
- Python 3.8+ (or compatible)
- `requests` (for API calls)
- Optional: a Stack Exchange API key (recommended for higher rate limits)
Important considerations:
- Respect Stack Exchange API rate limits; use an API key if you will fetch many pages.
- The script should include backoff/retry and delays between requests; do not parallelize requests without careful rate-limit handling.
- If exporting large datasets, consider paging and storing intermediate results.
## Data quality & known limitations
- Bodies are cleaned of HTML but some formatting (math markup, code blocks, LaTeX) may be simplified or lost; consider preserving LaTeX if you need formula fidelity.
- Only the top answer (by score) is captured — accepted vs. highest-scored may differ; both are recorded if available.
- Potential biases:
- Questions with higher votes and English-language questions are overrepresented if using a top-voted query.
- Highly specialized or duplicate content may appear.
- Empty `answer_body` means no answer was available at scraping time.
- Some fields may contain non-ASCII characters; files are exported with UTF-8 encoding.
## Suggested preprocessing for ML
- Deduplicate entries by `question_id`.
- Normalize or preserve LaTeX as needed (consider using a LaTeX-aware tokenizer when training models that must understand formulas).
- Truncate or chunk very long texts (both question and answer) when fitting into model context windows.
- Optionally filter by tags for domain-specific datasets (e.g., `algebra`, `calculus`, `probability`).
## Use cases
- Training and evaluating question-answering systems and math tutoring chatbots
- Fine-tuning language models on math Q&A patterns
- Research on problem-solving strategies and reasoning in mathematics
- Building retrieval-augmented systems with real Q&A examples
## Privacy, ethics, and policy
- The dataset contains user-contributed content under CC BY-SA; comply with the license and provide attribution.
- Do not claim the content as your own; include proper attribution and linkbacks where practical.
- Avoid publishing personally identifiable information beyond what is already publicly available on Stack Exchange.
## Citation
If you use this dataset in publications, we suggest citing it as:
Furkan Nar or https://github.com/TheOfficialFurkanNar/StackMathematics. (2026). Mathematics Stack Exchange Q&A Dataset. Retrieved from https://github.com/TheOfficialFurkanNar/StackMathematics (data originally from mathematics.stackexchange.com; licensed CC BY-SA 4.0)
## Contact
Contact via:
furkannar168@hotmail.com
For questions about this dataset or generation script, open an issue in this repository or contact the maintainer.
## Community & Support
Join the community to ask questions, discuss the dataset, and get help:
- Discord: https://discord.gg/dcjh8S5H
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