Datasets › Phrase-in-Context

Phrase-in-Context

Introduced by Thang M. Pham et al. in PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search10 Jun 2022 archive 2025-07-28

Phrase in Context is a curated benchmark for phrase understanding and semantic search, consisting of three tasks of increasing difficulty: Phrase Similarity (PS), Phrase Retrieval (PR) and Phrase Sense Disambiguation (PSD). The datasets are annotated by 13 linguistic experts on Upwork and verified by two groups: ~1000 AMT crowdworkers and another set of 5 linguistic experts. PiC benchmark is distributed under CC-BY-NC 4.0.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

huggingface.co/datasets/PiC/phrase_sense_disambiguation huggingface/datasetstfpytorchjax

huggingface.co/datasets/PiC/phrase_retrieval huggingface/datasetstfpytorchjax

huggingface.co/datasets/PiC/phrase_similarity huggingface/datasetstfpytorchjax

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

Tasks archive 2025-07-28

Question Answering Information Retrieval Semantic Similarity Natural Language Understanding Semantic Retrieval text similarity

License archive 2025-07-28

CC-BY-NC 4.0

Modalities archive 2025-07-28

Texts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

Phrase-in-Context

1 variant name, as the archive lists them.

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