| license: openrail | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| - gsdf/EasyNegative | |
| - Nerfgun3/bad_prompt | |
| - tatsu-lab/alpaca | |
| - stanfordnlp/SHP | |
| - yizhongw/self_instruct | |
| - nyanko7/LLaMA-65B | |
| - laion/OIG | |
| - Anthropic/hh-rlhf | |
| - SirNeural/flan_v2 | |
| language: | |
| - en | |
| - ur | |
| - it | |
| metrics: | |
| - accuracy | |
| - code_eval | |
| - bertscore | |
| - bleurt | |
| - brier_score | |
| - cer | |
| - character | |
| - charcut_mt | |
| - chrf | |
| library_name: diffusers | |
| pipeline_tag: feature-extraction | |
| tags: | |
| - code | |
| - medical | |
| - chemistry | |
| - biology | |
| - music | |
| - art | |
| - legal | |
| - text-generation-inference | |
| - finance | |
| - not-for-all-eyes | |