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Sentence Embedding datasets

archive 2025-07-28

8 datasets carry the task tag "Sentence Embedding" (the task itself: Sentence Embedding), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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

Sentence Embedding datasets 1–8 of 8

For understanding multimodal language used in expressing humor.
44 papers · 0 benchmarks
Tatoeba is a free collection of example sentences with translations geared towards foreign language learners.
38 papers · 2 benchmarks
Opusparcus is a paraphrase corpus for six European languages: German, English, Finnish, French, Russian, and Swedish.
15 papers · 0 benchmarks
OPUS (open parallel corpus)
OPUS is a growing collection of translated texts from the web.
12 papers · 0 benchmarks
The Video2GIF dataset contains over 100,000 pairs of GIFs and their source videos.
11 papers · 0 benchmarks
COSTRA 1.0 is a dataset of complex sentence transformations.
1 paper · 0 benchmarks
- An evaluation test bed for assessing the robustness of sentence embedding models against user-informed misinformation edits.
1 paper · 0 benchmarks
Composed of judgments from the French Court of cassation and their corresponding summaries.
1 paper · 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.