awesome-chatgpt-dataset

Unlock the Power of LLM: Explore These Datasets to Train Your Own ChatGPT!

Select your own mixed dataset

git clone https://github.com/voidful/awesome-chatgpt-dataset.git
cd awesome-chatgpt-dataset/mixed/dataset

pick whatever dataset you want to use, then merge and upload:

python preprocess.py your_dataset_name_to_HuggingFaceHub

Dataset Detail

Sorted by dataset size (small → large). Items with unknown size appear at the end.

Dataset Name	Size	Languages	Source	License
TheoremQA	1K	English	We annotated 800 QA pairs covering 350+ theorems spanning across Math, EE&CS, Physics and Finance.	mit
LIMA	1K	English	LIMA: Less Is More for Alignment.	cc-by-nc-sa-4.0
WildGuardMix	1.7K	English	Safety training mixture with vanilla/adversarial prompts and multi-annotator labels.	odc-by
Berkeley Function Calling Leaderboard (BFCL)	2K	English + code	Function/tool-calling eval covering parallel/multi-call scenarios across languages.	-
im-feeling-curious	3K	English	Extract from Google’s “I’m Feeling Curious” facts.	-
Puffin	3K	English	Exactly 3,000 multi-turn examples; each response via GPT‑4.	apache-2.0
cc_sbu_align	4K	English	MiniGPT‑4 alignment data (image–text).	bsd-3-clause
QA-Feedback	4K	English	Re‑constructed ASQA with human feedback.	-
SLF5K	5K	English	Summarization with Language Feedback (5K unique samples).	apache-2.0
blended_skill_talk