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614 Bytes
| license: cc-by-4.0 | |
| tags: | |
| - sharegpt | |
| - reasoning | |
| - chat | |
| - safety | |
| size_categories: | |
| - 1K<n<10K | |
| # DONOT BS | |
| DONOT BS is a dataset designed to train LLM's to avoid topics which could cause hallucinations, and simply reject. The dataset is multi turn, every turn has a fake user agent which is trying to cause the LLM to not reject. | |
| The dataset includes ~4000+ rows, all in a sharegpt format with reasoning between think tags. | |
| first turn prompts are cc-by-4.0, llm output under apache 2.0, second turn prompts under apache 2.0. | |
| models used: (no specific order) | |
| - laguna xs 2.1 | |
| - muse glimmer | |
| - gemma 4 26b a4b |