license:other size_categories:10K<n<100K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
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license: other
license_name: other
license_link: LICENSE
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This is dataset based on airoboros 2.2.1 with removed orca and gptslop samples.
Models trained on this datasets are likely to hallucinate more than base airoboros since I also removed a lot of samples that made the model aware that it's not a human but an ai and it doesn't have physical body. 
The plus of that is that non-llama model trained on it should very rarely if ever issue a refusal.
It also should sound more like a person than a sterile gpt-4. 
I can't guarantee for that to happen with llama 2 base models since they are pre-trained with gptslop and refusals. 
If you see a model that was trained on this dataset generating refusals, let me know and I will try to fix that.
I removed jokes from airoboros 2.2.1 that I used as base and put in jokes from airoboros 2.2, as jokes from 2.2.1 were really lame.

I will probably release fine-tunes of Yi-34B and Llama 1 33B on this dataset soon, Mistral finetune is available already.

License: same as airoboros 2.2.1/airoboros 2.2