2 datasets found
  1. W

    ChatGPT Usage Survey Data

    • webfx.com
    Updated Sep 2, 2025
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    WebFX (2025). ChatGPT Usage Survey Data [Dataset]. https://www.webfx.com/blog/ai/chatgpt-usage-statistics/
    Explore at:
    Dataset updated
    Sep 2, 2025
    Dataset authored and provided by
    WebFX
    Variables measured
    Average words in first message, Average words per ChatGPT conversation, Average number of messages per conversation, Percentage of conversations that are commands, Percentage of conversations that start as questions, Percentage of conversations in the "learning & understanding" category, Percentage of conversations using advanced features (persona assignment / data upload)
    Description

    Analysis of 13,252 publicly shared ChatGPT conversations by WebFX to uncover usage statistics - prompt length, message count, question vs command distribution, use-case categories.

  2. PROSPECT: Professional Role Effects on Specialized Perspective Enhancement...

    • zenodo.org
    zip
    Updated Dec 29, 2024
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    Keisuke Sato; Keisuke Sato (2024). PROSPECT: Professional Role Effects on Specialized Perspective Enhancement in Conversational Task [Dataset]. http://doi.org/10.5281/zenodo.14567800
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 29, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Keisuke Sato; Keisuke Sato
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 29, 2024
    Description

    ### Data Availability Statement (for the paper)

    All dialogue logs and final responses collected in this study are publicly available in the PROSPECT repository on Zenodo (DOI: [to be assigned]). The repository contains PDF files of complete dialogue histories and Markdown files of final comprehensive analyses for all conditions and models used in this study, allowing for reproducibility and further analysis.

    ### README.md for Zenodo

    # PROSPECT: Professional Role Effects on Specialized Perspective Enhancement in Conversational Task

    ## Overview
    This repository (PROSPECT) contains the dataset associated with the paper:
    > "Empirical Investigation of Expertise, Multiperspectivity, and Abstraction Induction in Conversational AI Outputs through Professional Role Assignment to Both User and AI"

    This research analyzed changes in dialogue logs and final responses when professional roles were assigned to both user and AI sides across multiple Large Language Models (LLMs). This repository provides the complete dialogue logs (PDF format) and final responses (Markdown format) used in the analysis.

    ## Directory Structure
    The repository structure under the top directory (`PROSPECT/`) is as follows:

    ```
    PROSPECT/
    ├── dialogue/ # Dialogue histories (PDF)
    │ ├── none/
    │ ├── ai_only/
    │ ├── user_only/
    │ └── both/
    └── final_answers/ # Final responses (Markdown)
    ├── none/
    ├── ai_only/
    ├── user_only/
    └── both/
    ```

    - **dialogue/**
    - Contains raw dialogue logs in PDF format. Subdirectories represent role assignment conditions:
    - `none/`: No roles assigned to either user or AI
    - `ai_only/`: Role assigned to AI only
    - `user_only/`: Role assigned to user only
    - `both/`: Roles assigned to both user and AI
    - **final_answers/**
    - Contains final comprehensive analysis responses in Markdown format. Directory structure mirrors that of `dialogue/`.

    ## File Naming Convention
    Files in each directory follow this naming convention:
    ```
    [AI]_[conditionNumber]-[roleNumber].pdf
    [AI]_[conditionNumber]-[roleNumber].md
    ```
    - `[AI]`: AI model name used for dialogue (e.g., ChatGPT, ChatGPT-o1, Claude, Gemini)
    - `[conditionNumber]`: Number indicating role assignment condition
    - 0: none
    - 1: ai_only
    - 2: user_only
    - 3: both
    - `[roleNumber]`: Professional role number
    - 0: No role
    - 1: Detective
    - 2: Psychologist
    - 3: Artist
    - 4: Architect
    - 5: Natural Scientist

    ### Examples:
    - `ChatGPT_3-1.pdf`: Dialogue log with ChatGPT-4o model under "both" condition (3) with detective role (1)
    - `Gemini_1-4.md`: Final response from Gemini model under "ai_only" condition (1) with architect role (4)

    ## Role Number Reference
    | roleNumber | Professional Role |
    |-----------:|:-----------------|
    | 0 | No role |
    | 1 | Detective |
    | 2 | Psychologist |
    | 3 | Artist |
    | 4 | Architect |
    | 5 | Natural Scientist|

    ## Data Description
    - **Dialogue Histories (PDF format)**
    Complete logs of questions and responses from each session, preserved as captured during the research. All dialogues were conducted in Japanese. While assistant version information is not included, implementation dates and model names are recorded within the files.
    - **Final Responses (Markdown format)**
    Excerpted responses to the final "comprehensive analysis request" as Markdown files, intended for text analysis and keyword extraction. All responses are in Japanese.

    *Note: This dataset contains dialogues and responses exclusively in Japanese. Researchers interested in lexical analysis or content analysis should consider this language specification.

    ## How to Use
    1. Please maintain the folder hierarchy after downloading.
    2. For meta-analysis or lexical analysis, refer to PDFs for complete dialogues and Markdown files for final responses.
    3. Utilize for research reproduction, secondary analysis, or meta-analysis.

    ## License
    This dataset is released under the **CC BY 4.0** License.
    - Free to use and modify, but please cite this repository (DOI) and the associated paper when using the data.

    ## Related Publication


    ## Disclaimer
    - The dialogue logs contain no personal information or confidential data.
    - The provided logs and responses reflect the research timing; identical prompts may yield different responses due to AI model updates.
    - The creators assume no responsibility for any damages resulting from the use of this dataset.

    ## Contact
    For questions or requests, please contact skeisuke@ibaraki-ct.ac.jp.

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WebFX (2025). ChatGPT Usage Survey Data [Dataset]. https://www.webfx.com/blog/ai/chatgpt-usage-statistics/

ChatGPT Usage Survey Data

Explore at:
Dataset updated
Sep 2, 2025
Dataset authored and provided by
WebFX
Variables measured
Average words in first message, Average words per ChatGPT conversation, Average number of messages per conversation, Percentage of conversations that are commands, Percentage of conversations that start as questions, Percentage of conversations in the "learning & understanding" category, Percentage of conversations using advanced features (persona assignment / data upload)
Description

Analysis of 13,252 publicly shared ChatGPT conversations by WebFX to uncover usage statistics - prompt length, message count, question vs command distribution, use-case categories.

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