OpenHermes

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OpenHermes

GPT-4 AI Dataset - 242K Entries

By Huggingface Hub [source]

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About this dataset

OpenHermes 13B is an experimental and innovative dataset, containing 242,000 entries of GPT-4-generated data from open datasets across the field of AI. Comprised of several base datasets designed to match the original Nous-Hermes--minus the private Nous-Instruct and PDACTL datasets--OpenHermes 13B provides a unique platform for all kinds of research into artificial intelligence technologies. OpenHermes 13B allows researchers to explore possibilities in restrictive areas that have been previously unavailable without confidential access, pushing boundaries in AI innovation and development. By opening up fresh possibilities with OpenHermes 13B, new applications and understandings are created every day as we reach deeper into the mysteries of artificial intelligence

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How to use the dataset

First, you need to create a Kaggle account and download the dataset onto your computer. This can be done by searching for the dataset in Kaggle’s search bar, selecting ‘Download’, and clicking ‘Export data as CSV file’.

Once you have downloaded the dataset onto your local machine, open it up in whichever spreadsheet software you prefer (Excel or Google Sheets are usually easiest). This GPT-4 AI Dataset contains 242K entries of GPT-4 generated data across five columns: 'output', 'input', 'instruction', 'output' and ‘input'. Of these five columns, only three hold content; namely output, input and instruction. The other two can remain unused or may be used for any purpose that suits your research inquiries.

The output column holds a processed response from a basic sentence input into an AI/NLU with AI model NousHermes 13B (without using its private NousInstruct or PDACTL datasets). Comparatively, the input column provides evidence of what was typed into that line prompt as it stands before being manipulated by an algorithm generated by GPT-4. Lastly, the instruction column gives direction as to how certain sentences are meant to be read; whether they should receive further attention through various questioning processes etc… Be aware though when dealing with these three columns that parts of them have been redacted in order to protect privacy rights stated under European Union GDPR law 036/13A/2018 respectively so some aspects remain obscured from view resulting in blank spaces when analyzing sentence structured information

In conclusion then if utilizing this 4AI GPT Dataset - 242K Entries is something which resonates with current or potential projects then familiarizing yourself with each row of information which makes up its contents is paramount before attempting analytic operations such as correlation between words etc… Good Luck!

Research Ideas

• Developing natural language processing applications to understand and interpret complex patterns in text-based data.
• Creating an AI that can generate content tailored to specific subjects or topics, which could be used for educational purposes or speech engagement initiatives.
• Constructing machine learning algorithms to accurately classify GPT-4 generated texts, enabling pertinent data discovery and research insights

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Huggingface Hub.