{"url":"/dataset/rst-dt","name":"RST-DT","full_name":"RST Discourse Treebank","description_markdown":"The Rhetorical Structure Theory (RST) Discourse Treebank consists of 385 Wall Street Journal articles\r\nfrom the Penn Treebank annotated with discourse structure in the RST framework along with\r\nhuman-generated extracts and abstracts associated with the source documents.\r\n\r\nIn the RST framework (Mann and Thompson, 1988), a text's discourse structure can be\r\nrepresented as a tree in four aspects:\r\n\r\n(1) the leaves correspond to text fragments called elementary discourse units (the mininal discourse units);\r\n(2) the internal nodes of the tree correspond to contiguous text spans;\r\n(3) each node is characterized by its nuclearity, or essential unit of information; and\r\n(4) each node is also characterized by a rhetorical relation between two or more non-overlapping, adjacent text spans. \r\n\r\nData\r\n\r\nThe data in this release is divided into a training set (347 documents) and a test set (38 documents).\r\nAll annotations were produced using a discourse annotation tool that can be downloaded from http://www.isi.edu/~marcu/discourse.","description_withheld":null,"homepage":"https://catalog.ldc.upenn.edu/LDC2002T07","introduced_date":"2002-02-21","introduced_date_note":null,"introduced_by":null,"license":{"name":"LDC","url":null},"modalities":[],"tasks":[{"name":"Discourse Parsing","url":"/task/discourse-parsing","datasets_with_task":"/datasets/task/discourse-parsing"},{"name":"End-to-End RST Parsing","url":"/task/end-to-end-rst-parsing","datasets_with_task":"/datasets/task/end-to-end-rst-parsing"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RST-DT"],"data_loaders":[],"num_papers_in_archive":23,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/discourse-parsing-on-rst-dt","task":"Discourse Parsing","dataset_variant":"RST-DT","rows":40,"metrics":["Standard Parseval (Full)","Standard Parseval (Span)","Standard Parseval (Nuclearity)","Standard Parseval (Relation)","RST-Parseval (Full)","RST-Parseval (Span)","RST-Parseval (Nuclearity)","RST-Parseval (Relation)"],"first_row_in_archive_order":{"model":"Bottom-up Llama 2 (70B)","paper":"/paper/can-we-obtain-significant-success-in-rst","metrics":{"Standard Parseval (Full)":"58.1","Standard Parseval (Nuclearity)":"70.4","Standard Parseval (Relation)":"60.0","Standard Parseval (Span)":"79.8"},"code_links":[{"title":"nttcslab-nlp/rstparser_eacl24","url":"https://github.com/nttcslab-nlp/rstparser_eacl24"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/end-to-end-rst-parsing-on-rst-dt-1","task":"End-to-End RST Parsing","dataset_variant":"RST-DT","rows":4,"metrics":["Standard Parseval (Full)","Standard Parseval (Nuclearity)","Standard Parseval (Relation)","Standard Parseval (Span)"],"first_row_in_archive_order":{"model":"DMRST  + ToNy + E-BiLSTM","paper":"/paper/bilingual-rhetorical-structure-parsing-with","metrics":{"Standard Parseval (Full)":"53.0 ± 0.7","Standard Parseval (Nuclearity)":"64.5 ± 0.8","Standard Parseval (Relation)":"54.5 ± 0.7","Standard Parseval (Span)":"74.8 ± 0.5"},"code_links":[{"title":"tchewik/bilingualrsp","url":"https://github.com/tchewik/bilingualrsp"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/bilingual-rhetorical-structure-parsing-with","title":"Bilingual Rhetorical Structure Parsing with Large Parallel Annotations","date":"2024-09-23","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/can-we-obtain-significant-success-in-rst","title":"Can we obtain significant success in RST discourse parsing by using Large Language Models?","date":"2024-03-08","rows_on_this_dataset":6,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-simple-and-strong-baseline-for-end-to-end","title":"A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing","date":"2022-10-15","rows_on_this_dataset":10,"code_links":1,"syntology":null},{"paper":"/paper/dmrst-a-joint-framework-for-document-level","title":"DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing","date":"2021-10-09","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/improving-neural-rst-parsing-model-with","title":"Improving Neural RST Parsing Model with Silver Agreement Subtrees","date":"2021-06-01","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/rst-parsing-from-scratch","title":"RST Parsing from Scratch","date":"2021-05-23","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/top-down-discourse-parsing-via-sequence","title":"Top-down Discourse Parsing via Sequence Labelling","date":"2021-02-03","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/unleashing-the-power-of-neural-discourse-1","title":"Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining","date":"2020-12-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/unleashing-the-power-of-neural-discourse","title":"Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining","date":"2020-11-06","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/top-down-rst-parsing-utilizing-granularity","title":"Top-Down RST Parsing Utilizing Granularity Levels in Documents","date":"2020-04-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/transition-based-neural-rst-parsing-with","title":"Transition-based Neural RST Parsing with Implicit Syntax Features","date":"2018-08-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-two-stage-parsing-method-for-text-level","title":"A Two-Stage Parsing Method for Text-Level Discourse Analysis","date":"2017-07-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/cross-lingual-rst-discourse-parsing","title":"Cross-lingual RST Discourse Parsing","date":"2017-01-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-view-and-multi-task-training-of-rst","title":"Multi-view and multi-task training of RST discourse parsers","date":"2016-12-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/discourse-parsing-with-attention-based","title":"Discourse Parsing with Attention-based Hierarchical Neural Networks","date":"2016-11-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/empirical-comparison-of-dependency","title":"Empirical comparison of dependency conversions for RST discourse trees","date":"2016-09-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/codra-a-novel-discriminative-framework-for","title":"CODRA: A Novel Discriminative Framework for Rhetorical Analysis","date":"2015-09-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/two-practical-rhetorical-structure-theory","title":"Two Practical Rhetorical Structure Theory Parsers","date":"2015-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/representation-learning-for-text-level","title":"Representation Learning for Text-level Discourse Parsing","date":"2014-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-linear-time-bottom-up-discourse-parser-with","title":"A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing","date":"2014-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/a-novel-discourse-parser-based-on-support","title":"A Novel Discourse Parser Based on Support Vector Machine Classification","date":"2009-08-02","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":3,"papers_with_no_sample_that_ran":1,"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."}