{"url":"/dataset/gcdc","name":"GCDC","full_name":"Grammarly Corpus of Discourse Coherence","description_markdown":"A corpus of real-world texts.\r\n\r\nSource: [Discourse Coherence in the Wild: A Dataset, Evaluation and Methods](/paper/discourse-coherence-in-the-wild-a-dataset)","description_withheld":null,"homepage":"https://github.com/aylai/GCDC-corpus","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/discourse-coherence-in-the-wild-a-dataset","title":"Discourse Coherence in the Wild: A Dataset, Evaluation and Methods","first_author":"Alice Lai","url":null},"license":null,"modalities":[],"tasks":[{"name":"Multi-Task Learning","url":"/task/multi-task-learning","datasets_with_task":"/datasets/task/multi-task-learning"},{"name":"Coherence Evaluation","url":"/task/coherence-evaluation","datasets_with_task":"/datasets/task/coherence-evaluation"}],"languages":[],"variants":["GCDC","GCDC + RST - Accuracy","GCDC + RST - F1"],"data_loaders":[{"repo":"https://github.com/aylai/GCDC-corpus","url":"https://github.com/aylai/GCDC-corpus","frameworks":[]}],"num_papers_in_archive":13,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/coherence-evaluation-on-gcdc-rst-accuracy","task":"Coherence Evaluation","dataset_variant":"GCDC + RST - Accuracy","rows":4,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"MTL with Transformer","paper":"/paper/transformer-models-for-text-coherence","metrics":{"Accuracy":"61.0"},"code_links":[{"title":"LiamMaclean216/Pytorch-Transfomer","url":"https://github.com/LiamMaclean216/Pytorch-Transfomer"},{"title":"tushar117/Transformer-Models-for-Text-Coherence-Assessment","url":"https://github.com/tushar117/Transformer-Models-for-Text-Coherence-Assessment"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/coherence-evaluation-on-gcdc-rst-f1","task":"Coherence Evaluation","dataset_variant":"GCDC + RST - F1","rows":3,"metrics":["Average F1"],"first_row_in_archive_order":{"model":"RST-Ensemble","paper":"/paper/neural-rst-based-evaluation-of-discourse","metrics":{"Average F1":"46.98"},"code_links":[{"title":"grig-guz/coherence-rst","url":"https://github.com/grig-guz/coherence-rst"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/transformer-models-for-text-coherence","title":"Transformer Models for Text Coherence Assessment","date":"2021-09-05","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/neural-rst-based-evaluation-of-discourse","title":"Neural RST-based Evaluation of Discourse Coherence","date":"2020-09-30","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/discourse-coherence-in-the-wild-a-dataset","title":"Discourse Coherence in the Wild: A Dataset, Evaluation and Methods","date":"2018-05-14","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"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."}