{"url":"/dataset/nli4wills-corpus","name":"NLI4Wills Corpus","full_name":null,"description_markdown":"**NLI4Wills Corpus** can be used to train transformers and sentence-transformer models for the validity evaluation of the legal will statements. Our dataset consists of ID numbers, three types of inputs (legal will statements, laws, and conditions) and classifications (support, refute, or unrelated).\r\n\r\nSource: [Validity Assessment of Legal Will Statements as Natural Language Inference](https://arxiv.org/pdf/2210.16989v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2210.16989v1.pdf](https://arxiv.org/pdf/2210.16989v1.pdf)","description_withheld":null,"homepage":"https://github.com/ml4ai/nli4wills-corpus","introduced_date":"2022-10-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/validity-assessment-of-legal-will-statements","title":"Validity Assessment of Legal Will Statements as Natural Language Inference","first_author":"Alice Saebom Kwak","url":null},"license":{"name":"Creative Commons Attribution-NonCommercial 4.0 International License","url":"https://github.com/ml4ai/nli4wills-corpus/blob/main/LICENSE.md"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Natural Language Inference","url":"/task/natural-language-inference","datasets_with_task":"/datasets/task/natural-language-inference"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["NLI4Wills Corpus"],"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."}