{"url":"/dataset/liu-et-al-corpus","name":"Liu et al. Corpus","full_name":"Liu et al. Corpus","description_markdown":"The **Liu et al. Corpus** is a pretraining dataset for large language models. It consists of 160Gb of news, books, stories, and web text.","description_withheld":null,"homepage":"","introduced_date":"2019-05-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/unified-language-model-pre-training-for","title":"Unified Language Model Pre-training for Natural Language Understanding and Generation","first_author":"Li Dong","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Liu et al. 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."}