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