{"url":"/dataset/cleaned-lang8","name":"Cleaned_Lang8","full_name":null,"description_markdown":"Lang-8 Preprocessed Dataset (for GED):\r\n\r\n - Dataset: Lang-8, a publicly available dataset containing user-generated content, primarily from second-language learners, focused on writing errors.\r\n - Task: Grammatical Error Detection (GED).\r\n - Size: 200,000 sentences, with each sentence labeled as '0' for incorrect and '1' for its corrected version.\r\n - Preprocessing: The dataset has been cleaned and transformed to improve model performance, including removing noise, handling inconsistent annotations, and preparing it for training.\r\n - Usage: Ideal for training and evaluating models for GED and GEC.","description_withheld":null,"homepage":"https://bekushal.medium.com/cleaned-lang8-dataset-for-grammar-error-detection-79aaa31150aa","introduced_date":"2024-01-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/enhancing-grammatical-error-detection-using","title":"Enhancing Grammatical Error Detection using BERT with Cleaned Lang-8 Dataset","first_author":"Rahul Nihalani","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Grammatical Error Detection","url":"/task/grammatical-error-detection","datasets_with_task":"/datasets/task/grammatical-error-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Cleaned_Lang8"],"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."}