Context

Stack Overflow is the largest online community for programmers to learn, share their knowledge, and advance their careers.

Content

Updated on a quarterly basis, this BigQuery dataset includes an archive of Stack Overflow content, including posts, votes, tags, and badges. This dataset is updated to mirror the Stack Overflow content on the Internet Archive, and is also available through the Stack Exchange Data Explorer.

Fork this kernel to get started with this dataset.

Acknowledgements

Dataset Source: https://archive.org/download/stackexchange

https://bigquery.cloud.google.com/dataset/bigquery-public-data:stackoverflow

https://cloud.google.com/bigquery/public-data/stackoverflow

Banner Photo by Caspar Rubin from Unplash.

Inspiration

What is the percentage of questions that have been answered over the years?

What is the reputation and badge count of users across different tenures on StackOverflow?

What are 10 of the “easier” gold badges to earn?

Which day of the week has most questions answered within an hour?

StackOverflow Posts Markdown

  Dataset Summary

This dataset contains all posts submitted to StackOverflow before the 14th of June 2023 formatted as Markdown text. The dataset contains ~60 Million posts, totaling ~35GB in size and ~65 billion characters of text. The data is sourced from Internet Archive StackExchange Data Dump.

  Dataset Structure

Each record corresponds to one post of a particular type. Original ordering from the data dump is not exactly preserved… See the full description on the dataset page: https://huggingface.co/datasets/mikex86/stackoverflow-posts.

c17hawke/stackoverflow-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

The Public 2023 Stack Overflow Developer Survey Results

Description:

The enclosed data set is the complete, cleaned results of the 2023 Stack Overflow Developer Survey. Free response submissions have been removed. There are three files besides this README:

1. survey_results_public.csv - CSV file with main survey results, one respondent per row and one column per answer
2. survey_results_schema.csv - CSV file with survey schema, i.e., the questions that correspond to each column name
3. so_survey_2022.pdf - PDF file of the survey instrument

The survey was fielded from May 8, 2023 to May 19, 2023. The median time spent on the survey for qualified responses was 17 minutes.

Respondents were recruited primarily through channels owned by Stack Overflow. The top 5 sources of respondents were onsite messaging, blog posts, email lists, meta.stackoverflow posts, banner ads, and social media posts. Since respondents were recruited in this way, highly engaged users on Stack Overflow were more likely to notice the links for the survey and click to begin it.

You can find the official published results here:

https://survey.stackoverflow.co/2023/

Find previous survey results here:

https://insights.stackoverflow.com/survey

Legal:

This database - The Public 2023 Stack Overflow Developer Survey Results - is made available under the Open Database License (ODbL): http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

TLDR: You are free to share, adapt, and create derivative works from The Public 2023 Stack Overflow Developer Survey Results as long as you attribute Stack Overflow, keep the database open (if you redistribute it), and continue to share-alike any adapted database under the ODbl.

Acknowledgment:

Massive, heartfelt thanks to all Stack Overflow contributors and lurking developers of the world who took part in the survey this year. We value your generous participation more than you know. <3

mlfoundations-dev/stackoverflow dataset hosted on Hugging Face and contributed by the HF Datasets community

The Stack Overflow Developer Survey dataset includes comprehensive information about developers' education, learning methods, professional experiences, and basic demographic and employment-related details. It covers various aspects such as formal education, how developers learn to code, the online resources they use, technical documentation sources, years of coding experience, current job roles, organisational size, influence over technology purchases, and annual compensation. Additionally, it provides information on developers' age, employment status, remote work situation, and coding activities outside of work.

In May 2024 over 65,000 developers responded to Stack Overflow's annual survey about coding, working, AI and how they feel about all of those topics and more.

There were seven sections in this survey. The 2nd, 3rd, 4th, and 5th sections will appear in a random order.

1. Basic Information
2. Education, Work, and Career
3. Technology and Tech Culture
4. Stack Overflow Usage + Community
5. Artificial Intelligence
6. Professional Developer Series (Optional)
7. Final Questions

Every year, Stack Overflow conducts a massive survey of people on the site, covering all sorts of information like programming languages, salary, code style and various other information. This year, they amassed more than 64,000 responses fielded from 213 countries.

Data

The data is made up of two files:
1. survey_results_public.csv - CSV file with main survey results, one respondent per row and one column per answer
2. survey_results_schema.csv - CSV file with survey schema, i.e., the questions that correspond to each column name m

Acknowledgements

Data is directly taken from StackOverflow and licensed under the ODbL license.

This data set contains anonymized data collected from Reddit (via the Pushshift API) and StackOverflow (from Kaggle's dataset).

Each folder includes the data split by trimester. The schema of StackOverflow and Reddit-related files follows:

• Fields from StackOverflow
  • question_id
  • answer_id
  • creation_date - answer creation_date
  • score - score of the question/answer
  • tags - all tags flagged for a question
  • answer_count - number of answers for a question
  • start_question - question's time of creation
  • last_activity_date - last update on the question
  • new_id - hashed id of the answerer
  • q_new_id - hashed id of the questioner
• Fields from Reddit
  • comment_id
  • submission_id
  • score - score of the question/submission
  • subreddit
  • created_utc - time of creation (unrelated to last modified comments)
  • new_id - hashed id

The .txt files represent the structure of the corresponding hypergraphs.

Traffic analytics, rankings, and competitive metrics for stackoverflow.com as of October 2025

RP-commenting-practices-multiple-sources

Replication package for the paper "What do Developers Discuss about Code Comments?"

Structure

Appendix.pdf
Tags-topics.md
Stack-exchange-query.md

RQ1/
  LDA_input/
    combined-so-quora-mallet-metadata.csv
    topic-input.mallet

  LDA_output/
    Mallet/
      output_csv/
        docs-in-topics.csv
        topic-words.csv
        topics-in-docs.csv
        topics-metadata.csv
      output_html/
        all_topics.html
        Docs/
        Topics/

RQ2/
  datasource_rawdata/
    quora.csv
    stackoverflow.csv
  manual_analysis_output/
    stackoverflow_quora_taxonomy.xlsx

Contents of the Replication Package

• Appendix.pdf- Appendix of the paper containing supplement tables

• Tags-topics.md tags selected from Stack overflow and topics selected from Quora for the study (RQ1 & RQ2)

• Stack-exchange-query.md the query interface used to extract the posts from stack exchnage explorer.

• RQ1/ - contains the data used to answer RQ1

  • LDA_input/ - input data used for LDA analysis
  • combined-so-quora-mallet-metadata.csv - Stack overflow and Quora questions used to perform LDA analysis
  • topic-input.mallet - input file to the mallet tool
  • LDA_output/
  • Mallet/ - contains the LDA output generated by MALLET tool
    • output_csv/
      • docs-in-topics.csv - documents per topic
      • topic-words.csv - most relevant topic words
      • topics-in-docs.csv - topic probability per document
      • topics-metadata.csv - metadata per document and topic probability
    • output_html/ - Browsable results of mallet output
      • all_topics.html
      • Docs/
      • Topics/

• RQ2/ - contains the data used to answer RQ2

  • datasource_rawdata/ - contains the raw data for each source
  • quora.csv - contains the processed dataset (like removing html tags). To know more about the preprocessing steps, please refer to the reproducibility section in the paper. The data is preprocessed using Makar tool.
  • stackoverflow.csv - contains the processed stackoverflow dataset. To know more about the preprocessing steps, please refer to the reproducibility section in the paper. The data is preprocessed using Makar tool.
  • manual_analysis_output/
  • stackoverflow_quora_taxonomy.xlsx - contains the classified dataset of stackoverflow and quora and description of taxonomy.
    • Taxonomy - contains the description of the first dimension and second dimension categories. Second dimension categories are further divided into levels, separated by | symbol.
    • stackoverflow-posts - the questions are labelled relevant or irrelevant and categorized into the first dimension and second dimension categories.

      - quota-posts - the questions are labelled relevant or irrelevant and categorized into the first dimension and second dimension categories.

Dataset Card for Stack Overflow Chat Dutch

  Dataset Summary

This dataset contains 56,964 conversations between een AI assistant and a (fake) "Human" (generated) in Dutch, specifically in the domain of programming (Stack Overflow). They are translations of Baize's machine-generated answers to the Stack Overflow dataset. ☕ Want to help me out? Translating the data with the OpenAI API, and prompt testing, cost me 💸$133.60💸. If you like this dataset, please consider buying… See the full description on the dataset page: https://huggingface.co/datasets/BramVanroy/stackoverflow-chat-dutch.

mteb/stackoverflow-qa dataset hosted on Hugging Face and contributed by the HF Datasets community

The paper discusses the use of multi-objective Bayesian optimization for hyperparameter transfer in topic models.

A complete list of live websites using the Stackoverflow technology, compiled through global website indexing conducted by WebTechSurvey.

Over 70,000 developers told us how they learn and level up, which tools they’re using, and what they want.

Stackoverflow : The questions we ask in our annual survey help us improve the Stack Overflow community and the platform that serves them. The challenge and opportunity for us is to continue expanding and improving our ability to help all developers and to make them feel welcome in our community. Read on for more great insights about the attitudes, tools, and environments that are shaping the art and practice of software today.

The dataset is about the users on stackoverflow. it contains 2 columns, first is the location which contains the user's location and second is the tags, these contain the top 5 tags of user.

BigQuery dataset includes an archive of Stack Overflow content, including posts, votes, tags, and badges.

Datasets of Time Series of Social Media Activity. It includes 16.2 million YouTube videos, 0.8 million Usenet threads, 4.6 million Stack-Overflow questions and 70 thousands PLOS ONE papers. This data is used in JM Miotto, EG Altmann, 'Predictability of extreme events in social media', arXiv:1403.3616.

Overview The Stack Overflow Developer Survey Dataset represents one of the most trusted and comprehensive sources of information about the global developer community. Collected by Stack Overflow through its annual survey, the dataset provides insights into the demographics, preferences, habits, and career paths of developers.

This dataset is frequently used for: - Analyzing trends in programming languages, tools, and technologies. - Understanding developer job satisfaction, compensation, and work environments. - Studying global and regional differences in developer demographics and experience.

The data has of two CSV files, "survey_results_public" that consist of data and "survey_results_schema" that describes each column in detail.

Data Dictionary: All the details are in "survey_results_schema.csv"

Features of the Stack Overflow Developer Survey Dataset

Demographic & Background Information - Respondent: A unique identifier for each survey participant. - MainBranch: Describes whether the respondent is a professional developer, student, hobbyist, etc. - Country: The country where the respondent lives. - Age: The respondent's age. - Gender: The gender identity of the respondent. - Ethnicity: Ethnic background (when available). - EdLevel: The highest level of formal education completed. - UndergradMajor: The respondent's undergraduate major. - Hobbyist: Indicates whether the person codes as a hobby (Yes/No).

Employment & Professional Experience - Employment: Employment status (full-time, part-time, unemployed, student, etc.). - DevType: Types of developer roles the respondent identifies with (e.g., Web Developer, Data Scientist). - YearsCode: Number of years the respondent has been coding. - YearsCodePro: Number of years coding professionally. - JobSat: Job satisfaction level. - CareerSat: Career satisfaction level. - WorkWeekHrs: Approximate hours worked per week. - RemoteWork: Whether the respondent works remotely and how frequently.

Compensation - CompTotal: Total compensation in USD (including salary, bonuses, etc.). - CompFreq: Frequency of compensation (e.g., yearly, monthly).

Learning & Education - LearnCode: How the respondent first learned to code (e.g., online courses, university). - LearnCodeOnline: Online resources used (e.g., YouTube, freeCodeCamp). - LearnCodeCoursesCert: Whether the respondent has taken online courses or earned certifications.

Technology & Tools - LanguageHaveWorkedWith: Programming languages the respondent has used. - LanguageWantToWorkWith: Languages the respondent is interested in learning or using more. - DatabaseHaveWorkedWith: Databases the respondent has experience with. - PlatformHaveWorkedWith: Platforms used (e.g., Linux, AWS, Android). - OpSys: The operating system used most often. - NEWCollabToolsHaveWorkedWith: Collaboration tools used (e.g., Slack, Teams, Zoom). - NEWStuck: How often the respondent feels stuck when coding. - ToolsTechHaveWorkedWith: Frameworks and technologies respondents have worked with.

Online Presence & Community - SOAccount: Whether the respondent has a Stack Overflow account. - SOPartFreq: How often the respondent participates on Stack Overflow. - SOVisitFreq: Frequency of visiting Stack Overflow. - SOComm: Whether the respondent feels welcome in the Stack Overflow community. - OpenSourcer: Level of involvement in open-source contributions.

Opinions & Preferences - WorkChallenge: Challenges faced at work (e.g., unclear requirements, unrealistic expectations). - JobFactors: Important job factors (e.g., salary, work-life balance, technologies used). - MentalHealth: Questions on how mental health affects or is affected by their job.