--- 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: \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 -