shimbaaa/shifu-lex
shifu-lex training dataset Unified SFT/DPO/Eval built from 15 Hugging Face datasets. Format: chat messages (user/assistant, optional system) + source + domain. Load it from datasets import load_dataset train = load_dataset("shimbaaa/shifu-lex", data_files="data/train-*.jsonl")["train"] eval_split = load_dataset("shimbaaa/shifu-lex", data_files="eval.jsonl")["train"] dpo = load_dataset("shimbaaa/shifu-lex", data_files="dpo.jsonl")["train"] Splits… See the full description on the dataset page: https://huggingface.co/datasets/shimbaaa/shifu-lex.
shifu-lex: public dataset card, no local paths
shifu-lex v1: train-00007-of-00008.jsonl
shifu-lex v1: train-00006-of-00008.jsonl
shifu-lex v1: train-00005-of-00008.jsonl
shifu-lex v1: train-00004-of-00008.jsonl
shifu-lex v1: train-00003-of-00008.jsonl
shifu-lex v1: train-00002-of-00008.jsonl
shifu-lex v1: train-00001-of-00008.jsonl
shifu-lex v1: train-00000-of-00008.jsonl
shifu-lex v1: dpo.jsonl
shifu-lex v1: eval.jsonl
shifu-lex v1: stats.json
shifu-lex v1: README.md
initial commit
