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Paraphrase Generation datasets
archive 2025-07-28
17 datasets carry the task tag "Paraphrase Generation" (the task itself: Paraphrase Generation), ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Paraphrase Generation datasets 1–17 of 17
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
11,922 papers · 77 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
90 papers · 13 benchmarks
Quora Question Pairs (QQP) dataset consists of over 400,000 question pairs, and each question pair is annotated with a binary value indicating whether the two questions are paraphrase of each other.
55 papers · 8 benchmarks
Paralex learns from a collection of 18 million question-paraphrase pairs scraped from WikiAnswers.
20 papers · 1 benchmark
A large-scale English paraphrase dataset that surpasses prior work in both quantity and quality.
17 papers · 0 benchmarks
Opusparcus is a paraphrase corpus for six European languages: German, English, Finnish, French, Russian, and Swedish.
15 papers · 0 benchmarks
PARANMT-50M is a dataset for training paraphrastic sentence embeddings.
13 papers · 0 benchmarks
OPUS (open parallel corpus)
OPUS is a growing collection of translated texts from the web.
12 papers · 0 benchmarks
This is the dataset for the 2020 Duolingo shared task on Simultaneous Translation And Paraphrase for Language Education (STAPLE).
10 papers · 0 benchmarks
Aims to help V-NLIs recognize analytic tasks from free-form natural language by training and evaluating cutting-edge multi-label classification models.
4 papers · 0 benchmarks
TextBox 2.0 is a comprehensive and unified library for text generation, focusing on the use of pre-trained language models (PLMs).
3 papers · 0 benchmarks
StyleKQC is a style-variant paraphrase corpus for korean questions and commands.
2 papers · 0 benchmarks
AP (Adversarial Paraphrase)
This is a paraphrasing dataset created using the adversarial paradigm.
1 paper · 1 benchmark
For more details see https://huggingface.co/datasets/jpwahle/autoregressive-paraphrase-dataset
1 paper · 0 benchmarks
We introduce a new task of rephrasing for amore natural virtual assistant.
1 paper · 0 benchmarks
ViSP (Vietnamese Sentence Paraphrases)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
This is a dataset of paraphrases created by ChatGPT.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.