Datasets › PIT

PIT (Paraphrase and Semantic Similarity in Twitter)

Introduced by Wei Xu et al. in SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT) archive 2025-07-28

Paraphrase and Semantic Similarity in Twitter (PIT) presents a constructed Twitter Paraphrase Corpus that contains 18,762 sentence pairs.

Source: SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Paraphrase Identification PIT TSDAE AP 69.2 TSDAE: Using Transformer-based Sequential Denoising... kwang2049/pytorch-bertflow +5 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 22. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning 6 1 14 Apr 2021 ran 0 of 4 samples (4 unverified)

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • PIT

1 variant name, as the archive lists them.

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