{"url":"/dataset/disc-law-sft","name":"DISC-Law-SFT","full_name":null,"description_markdown":"DISC-Law-SFT comprises two subsets, DISC-Law-SFT-Pair and DISC-Law-SFT-Triplet. The former aims to introduce legal reasoning abilities to the LLM, while the latter helps enhance the model's capability to utilize external legal knowledge.","description_withheld":null,"homepage":"https://huggingface.co/datasets/ShengbinYue/DISC-Law-SFT","introduced_date":"2023-09-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/disc-lawllm-fine-tuning-large-language-models","title":"DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services","first_author":"Shengbin Yue","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["DISC-Law-SFT"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}