Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
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README.md
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:** [Thang Pham](<thangpham@auburn.edu>)
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- **Size of downloaded dataset files:**
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- **Size of the generated dataset:**
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- **Total amount of disk used:**
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### Dataset Summary
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PS is a binary classification task with the goal of predicting whether two multi-word noun phrases are semantically similar or not given *the same context* sentence.
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This dataset contains ~
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### Supported Tasks and Leaderboards
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### Data Instances
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**PS**
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* Size of downloaded dataset files:
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* Size of the generated dataset:
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* Total amount of disk used:
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```
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{
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"phrase1": "
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"phrase2": "
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"sentence1": "
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"sentence2": "
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"label": 0,
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"idx":
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}
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```
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:** [Thang Pham](<thangpham@auburn.edu>)
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- **Size of downloaded dataset files:** 4.60 MB
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- **Size of the generated dataset:** 2.96 MB
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- **Total amount of disk used:** 7.56 MB
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### Dataset Summary
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PS is a binary classification task with the goal of predicting whether two multi-word noun phrases are semantically similar or not given *the same context* sentence.
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This dataset contains ~10K pairs of two phrases along with their contexts used for disambiguation, since two phrases are not enough for semantic comparison.
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Our ~10K examples were annotated by linguistic experts on <upwork.com> and verified in two rounds by 1000 Mturkers and 5 linguistic experts.
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### Supported Tasks and Leaderboards
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### Data Instances
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**PS**
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* Size of downloaded dataset files: 4.60 MB
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* Size of the generated dataset: 2.96 MB
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* Total amount of disk used: 7.56 MB
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```
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{
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"phrase1": "annual run",
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"phrase2": "yearlong performance",
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"sentence1": "since 2004, the club has been a sponsor of the annual run for rigby to raise money for off-campus housing safety awareness.",
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"sentence2": "since 2004, the club has been a sponsor of the yearlong performance for rigby to raise money for off-campus housing safety awareness.",
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"label": 0,
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"idx": 0,
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}
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```
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