datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mida-autotrain2
RuTurboAlpaca
Dataset of ChatGPT-generated instructions in Russian.
Code: rulm/self_instruct
Code is based on Stanford Alpaca and self-instruct.
29822 examples
Preliminary evaluation by an expert based on 400 samples:
83% of samples contain correct instructions
63% of samples have correct instructions and outputs
Crowdsouring-based evaluation on 3500 samples:
90% of samples contain correct instructions
68% of samples have correct instructions and outputs
Prompt template:… See the full description on the dataset page: https://huggingface.co/datasets/t4t455/mida-autotrain2.mida-autotrain
SPIRIT Dataset (System Prompt Instruction Real-world Implementation Training-set)
Dataset Summary
SPIRIT is a high-quality system prompt instruction dataset designed to enhance language models' ability to follow complex system prompts. The dataset comprises real-world system prompts collected from GitHub repositories and synthetically generated conversations, specifically curated to improve system prompt adherence in large language models.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/t4t455/mida-autotrain.