persiannlp/parsinlu_query_paraphrasing
A Persian query paraphrasing task (paraphrase or not, given two questions). The questions are partly mined using Google auto-complete, and partly translated from Quora paraphrasing dataset.
Dataset Card for PersiNLU (Query Paraphrasing)
Table of Contents
- Dataset Card for PersiNLU (Query Paraphrasing)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Initial Data Collection and Normalization
- Who are the source language producers?
- Annotations
- Annotation process
- Who are the annotators?
- Personal and Sensitive Information
- Considerations for Using the Data
- Social Impact of Dataset
- Discussion of Biases
- Other Known Limitations
- Additional Information
- Dataset Curators
- Licensing Information
- Citation Information
- Contributions
Dataset Description
Dataset Summary
A Persian query paraphrasng task (deciding whether two questions are paraphrases of each other). The questions are partially generated from Google auto-complete, and partially translated from the Quora paraphrasing dataset.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The text dataset is in Persian (fa).
Dataset Structure
Data Instances
Here is an example from the dataset:
{
"q1": "اعمال حج تمتع از چه روزی شروع میشود؟",
"q2": "ویار از چه روزی شروع میشود؟",
"label": "0",
"category": "natural"
}Data Fields
q1: the first question.q2: the second question.category: whether the questions are mined from Quora (qqp) or they're extracted from Google auto-complete (natural).label:1if the questions are paraphrases;0otherwise.
Data Splits
The train/dev/test splits contains 1830/898/1916 samples.
Dataset Creation
Curation Rationale
For details, check the corresponding draft.
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
CC BY-NC-SA 4.0 License
Citation Information
@article{huggingface:dataset,
title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian, Sarik and others},
year={2020}
journal = {arXiv e-prints},
eprint = {2012.06154},
}Contributions
Thanks to @danyaljj for adding this dataset.
