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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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