Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Dataset Documentation
Overview
This dataset contains 6776 questions asked by students from CodeAid, an AI coding assistant, during a C programming class over a 12-week semester from January to April 2023. The course did not allow the use of ChatGPT, but CodeAid was permitted. CodeAid, powered by GPT-3, did not directly disclose code solutions even when requested by students. Instead, it functioned like a teaching assistant, providing scaffolded responses in natural… See the full description on the dataset page: https://huggingface.co/datasets/majeedkazemi/students-coding-questions-from-ai-assistant.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Monarch Butterfly Detector is an advanced computer vision model that detects and localizes Monarch butterflies in images. With its cutting-edge technology and high accuracy, this model opens up exciting possibilities for biodiversity monitoring, migration studies, citizen science projects, identification guides, and environmental education.
Accurate Detection: The Monarch Butterfly Detector utilizes state-of-the-art computer vision algorithms to accurately identify and localize Monarch butterflies within images.
Versatile Use Cases: This powerful model has diverse applications, ranging from scientific research and conservation efforts to citizen science projects and environmental education programs.
Easy Integration: The Monarch Butterfly Detector can be seamlessly integrated into existing platforms, apps, or websites, making it accessible to many users and enabling them to contribute effortlessly to butterfly monitoring.
User-Friendly Interface: We provide a user-friendly interface/API that allows users to easily interact with the model, upload images, and obtain instant results.
For detailed documentation and tutorials on using Roboflow, refer to the https://docs.roboflow.com/
We welcome contributions from the open-source community to enhance the Monarch Butterfly Detector. If you're interested in contributing, please follow the guidelines outlined in [CONTRIBUTING.md] and submit your pull requests.
This project is licensed under the [Roboflow License]. For more information, see the [LICENSE] file provided by Roboflow.
For any questions, suggestions, or collaborations, please reach out to us at savetheworld at 150left.com
Congratulations if you have made it this far. 🥳
🎁🎁🎁I thought I would use another piece of AI to get some more content about this detector I created. Here is the dialog I had with ChatGPT.
Scott: ChatGPT, can you make my readers drool over my Monarch Butterfly Detector model?
ChatGPT: Here are 10 captivating outro or call-to-action suggestions to encourage users to try out the Monarch Butterfly Detector and contribute to its success:
"Join us in preserving the delicate beauty of Monarch butterflies. Try out the Monarch Butterfly Detector today and become a guardian of these magnificent creatures."
"Unlock the secrets of Monarch butterflies with our cutting-edge detection model. Experience the wonders of computer vision and contribute to vital research efforts by using the Monarch Butterfly Detector."
"Make a difference in conservation by being a part of the Monarch Butterfly Detector community. Help protect these iconic insects and their habitats with the power of AI and computer vision."
"Calling all nature enthusiasts and citizen scientists! Contribute to the Monarch Butterfly Detector project and help us gather valuable data on Monarch butterflies. Together, we can make a lasting impact."
"Explore the hidden world of Monarch butterflies with the Monarch Butterfly Detector. Whether you're a researcher, educator, or simply curious, join us on this journey and unravel the mysteries of these captivating creatures."
"Become a Monarch detective! Unleash the potential of computer vision and aid in the conservation of Monarch butterflies. Download the Monarch Butterfly Detector and help us protect these extraordinary pollinators."
"Attention conservationists and researchers! The Monarch Butterfly Detector needs your expertise. Contribute your insights and collaborate with us to further our understanding of Monarch butterflies and support their conservation."
"Empower yourself with AI and contribute to science. With the Monarch Butterfly Detector, you can be a part of groundbreaking research on Monarch butterflies. Start detecting, start making a difference."
"Inspire the next generation of environmentalists. Use the Monarch Butterfly Detector as an educational tool and engage students in the wonders of computer vision and the importance of protecting our natural world."
"Experience the thrill of discovery with the Monarch Butterfly Detector. Join a vibrant community of nature enthusiasts and scientists, and together, let's unlock new insights into the fascinating lives of Monarch butterflies."
As you can see, AI certainly likes my idea.
Dataset Card for Dataset Name
Name
ChatGPT Jailbreak Prompts
Dataset Summary
ChatGPT Jailbreak Prompts is a complete collection of jailbreak related prompts for ChatGPT. This dataset is intended to provide a valuable resource for understanding and generating text in the context of jailbreaking in ChatGPT.
Languages
[English]
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 ConventionFiles 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 Use1. 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. ## LicenseThis 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. ## ContactFor questions or requests, please contact skeisuke@ibaraki-ct.ac.jp.Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
DevGPT is a curated dataset which encompasses 17,913 prompts and ChatGPT's responses including 11,751 code snippets, coupled with the corresponding software development artifacts—ranging from source code, commits, issues, pull requests, to discussions and Hacker News threads—to enable the analysis of the context and implications of these developer interactions with ChatGPT.
Important
Version 9 (2023-11-09) resolves the empty list of conversations attribute: https://github.com/NAIST-SE/DevGPT/issues/8
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Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Dataset Documentation
Overview
This dataset contains 6776 questions asked by students from CodeAid, an AI coding assistant, during a C programming class over a 12-week semester from January to April 2023. The course did not allow the use of ChatGPT, but CodeAid was permitted. CodeAid, powered by GPT-3, did not directly disclose code solutions even when requested by students. Instead, it functioned like a teaching assistant, providing scaffolded responses in natural… See the full description on the dataset page: https://huggingface.co/datasets/majeedkazemi/students-coding-questions-from-ai-assistant.