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Semantic Textual Similarity datasets

archive 2025-07-28

19 datasets carry the task tag "Semantic Textual Similarity" (the task itself: Semantic Textual Similarity), ordered by the archive's paper count. Page 1 of 1: 19 shown of 19. 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

Semantic Textual Similarity datasets 1–19 of 19

GLUE (General Language Understanding Evaluation benchmark)
General Language Understanding Evaluation (GLUE) benchmark is a collection of nine natural language understanding tasks, including single-sentence tasks CoLA and SST-2, similarity and paraphrasing tasks MRPC, STS-B and QQP, and natural…
3,197 papers · 13 benchmarks
This is an evaluation harness for the HumanEval problem solving dataset described in the paper "Evaluating Large Language Models Trained on Code".
1,201 papers · 1 benchmark
MRPC (Microsoft Research Paraphrase Corpus)
Microsoft Research Paraphrase Corpus (MRPC) is a corpus consists of 5,801 sentence pairs collected from newswire articles.
786 papers · 4 benchmarks
SICK (Sentences Involving Compositional Knowledge)
The Sentences Involving Compositional Knowledge (SICK) dataset is a dataset for compositional distributional semantics.
348 papers · 5 benchmarks
SentEval is a toolkit for evaluating the quality of universal sentence representations.
168 papers · 1 benchmark
MTEB (Massive Text Embedding Benchmark)
MTEB is a benchmark that spans 8 embedding tasks covering a total of 56 datasets and 112 languages.
155 papers · 6 benchmarks
CARER (Contextualized Affect Representations for Emotion Recognition)
CARER is an emotion dataset collected through noisy labels, annotated via distant supervision as in (Go et al., 2009).
123 papers · 2 benchmarks
STS Benchmark (Semantic Textual Similarity)
STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 and 2017.
45 papers · 6 benchmarks
EVALution dataset is evenly distributed among the three classes (hypernyms, co-hyponyms and random) and involves three types of parts of speech (noun, verb, adjective).
28 papers · 0 benchmarks
CxC (Crisscrossed Captions)
Crisscrossed Captions (CxC) contains 247,315 human-labeled annotations including positive and negative associations between image pairs, caption pairs and image-caption pairs.
22 papers · 1 benchmark
PIT (Paraphrase and Semantic Similarity in Twitter)
Paraphrase and Semantic Similarity in Twitter (PIT) presents a constructed Twitter Paraphrase Corpus that contains 18,762 sentence pairs.
22 papers · 1 benchmark
Publicly available dataset of naturally occurring factual claims for the purpose of automatic claim verification.
21 papers · 0 benchmarks
KorNLI is a Korean Natural Language Inference (NLI) dataset.
18 papers · 0 benchmarks
PARANMT-50M is a dataset for training paraphrastic sentence embeddings.
13 papers · 0 benchmarks
JGLUE, Japanese General Language Understanding Evaluation, is built to measure the general NLU ability in Japanese.
7 papers · 0 benchmarks
SemEval 2014 is a collection of datasets used for the Semantic Evaluation (SemEval) workshop, an annual event that focuses on the evaluation and comparison of systems that can analyze diverse semantic phenomena in text.
6 papers · 0 benchmarks
GIS (Github Issue Similarity)
This dataset can be used for semantic textual similarity tasks.
2 papers · 0 benchmarks
A dataset of sentence pairs annotated following the formalization.
1 paper · 0 benchmarks
The data originate from the journalistic domain in the Czech language.
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.