{"url":"/dataset/wangchanx-legal-thaiccl-rag","name":"WangchanX-Legal-ThaiCCL-RAG","full_name":null,"description_markdown":"The WangchanX-Legal-ThaiCCL-RAG dataset supports the development Retrieval-Augmented Generation (RAG) for Thai Legal question answering. This dataset is allows developers to finetune both retrieval model - to better retrieve relevant law section, and Large Language Model (LLM) - for instruction tuning. Our dataset supports Corporate and Commercial Law (thus ThaiCCL name)","description_withheld":null,"homepage":"https://huggingface.co/datasets/airesearch/WangchanX-Legal-ThaiCCL-RAG","introduced_date":"2025-02-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/nitibench-a-comprehensive-studies-of-llm","title":"NitiBench: A Comprehensive Studies of LLM Frameworks Capabilities for Thai Legal Question Answering","first_author":"Pawitsapak Akarajaradwong","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Sentence Retrieval","url":"/task/sentence-retrieval","datasets_with_task":"/datasets/task/sentence-retrieval"}],"languages":[{"name":"Thai","url":"/datasets/language/thai"}],"variants":["WangchanX-Legal-ThaiCCL-RAG"],"data_loaders":[],"num_papers_in_archive":1,"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."}