datasetGPT
botbots
| datasetGPT | botbots | |
|---|---|---|
| 6 | 4 | |
| 275 | 166 | |
| - | - | |
| 6.0 | 3.8 | |
| 8 months ago | about 1 year ago | |
| Python | ||
| - | MIT License |
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datasetGPT
- datasetGPT is a command-line interface and a Python library for inferencing Large Language Models to generate textual datasets. (Regenerative feedback loops)
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[R] [P] I generated a 30K-utterance dataset by making GPT-4 prompt two ChatGPT instances to converse.
A dataset consisting of dialogues between two instances of ChatGPT (gpt-3.5-turbo). The CLI commands and dialogue prompts themselves have been written by GPT-4. The dataset covers a wide range of contexts (questions and answers, arguing and reasoning, task-oriented dialogues) and downstream tasks (e.g., hotel reservations, medical advice). Texts have been generated with datasetGPT and the OpenAI API as a backend. Approximate cost for generation: $35.
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[P] two copies of gpt-3.5 (one playing as the oracle, and another as the guesser) performs poorly on the game of 20 Questions (68/1823).
Last week I released a CLI that can do this at scale: https://github.com/radi-cho/datasetGPT. Will use personal funds to generate somewhat big task oriented dataset later today with gpt-3.5 or gpt-4. Will open source it along a way for people to contribute their own datasets so we can collect bigger ones. Would be helpful both for analysis of how LLMs work and for fine tuning downstream models (Alpaca-like).
- DatasetGPT - A command-line interface to generate textual and conversational datasets with LLMs.
- DatasetGPT – an open-source command line tool for generating datasets with LLMs
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[P] [D] datasetGPT - A command-line tool to generate datasets by inferencing LLMs. Supports OpenAI, Cohere, and Petals.
GitHub: https://github.com/radi-cho/datasetGPT
botbots
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