---
annotations_creators:
- expert-generated
language_creators:
- found
- expert-generated
languages:
- en
licenses:
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: 
pretty_name: 'PiC: Phrase Similarity (PS)'
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- semantic-similarity-classification
---

# Dataset Card for "PiC: Phrase Similarity"

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://phrase-in-context.github.io/](https://phrase-in-context.github.io/)
- **Repository:** [https://github.com/phrase-in-context](https://github.com/phrase-in-context)
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** [Thang Pham](<thangpham@auburn.edu>)

### Dataset Summary

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.
This dataset contains ~56K pairs of two phrases along with their contexts used for disambiguation, since two phrases only sometimes are not enough for semantic comparison.
Around 28K positive examples were annotated by linguistic experts on Upwork.com while the other 28K negative examples were created by randomly replacing 50% of the phrase tokens in the positive examples.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

English.

## Dataset Structure

### Data Instances

**PS**
* Size of downloaded dataset files: 25.03 MB
* Size of the generated dataset: 16.22 MB
* Total amount of disk used: 41.25 MB

```
{
  "phrase1": "greater presence",
  "phrase2": "msie usage",
  "sentence1": "The songs on the album feature a greater presence of band member Martin Swope's electronic and tape sound effects than with the band's previous recordings.",
  "sentence2": "The songs on the album feature a msie usage of band member Martin Swope's electronic and tape sound effects than with the band's previous recordings.",
  "label": 0,
  "idx": 1,
}
```

### Data Fields

The data fields are the same among all splits.

* phrase1: a string feature.
* phrase2: a string feature.
* sentence1: a string feature.
* sentence2: a string feature.
* label: an int32 feature.
* idx: an int32 feature.

### Data Splits

|        name        |train |validation|test |
|--------------------|----:|--------:|----:|
|PS                  |39436|     5634|11266|

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@ThangPM](https://github.com/ThangPM) for adding this dataset.