Datasets:

FurkanNar
/

StackMathematics-XL

+---
+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