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@@ -34,16 +34,6 @@ Example CSV header:
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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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- ## 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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- 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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  ## How the dataset was generated
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@@ -60,19 +50,6 @@ Notes:
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  - For reproducibility, include the script, the exact arguments used, and the timestamp of generation.
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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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  - 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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  - 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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- ## Suggested preprocessing for ML
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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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- ## Use cases
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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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- ## Privacy, ethics, and policy
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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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- ## Citation
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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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- ## 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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- ## Community & Support
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- Join the community to ask questions, discuss the dataset, and get help:
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- - Discord: https://discord.gg/dcjh8S5H
 
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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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  ## How the dataset was generated
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  - For reproducibility, include the script, the exact arguments used, and the timestamp of generation.
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  ## Data quality & known limitations
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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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  - 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.