Datasets:
metadata
annotations_creators:
- found
language_creators:
- found
language:
- bn
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 100k<n<1M
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
pretty_name: BanglaParaphrase
tags:
- conditional-text-generation
- paraphrase-generation
Dataset Card for "BanglaParaphrase"
Table of Contents
- Dataset Card Creation Guide
Dataset Description
- Repository: https://github.com/csebuetnlp/banglaparaphrase
- Paper: BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset
- Point of Contact: Najrin Sultana
Dataset Summary
We present BanglaParaphrase, a high quality synthetic Bangla paraphrase dataset containing about 466k paraphrase pairs. The paraphrases ensures high quality by being semantically coherent and syntactically diverse.
Supported Tasks and Leaderboards
Languages
bengali
Loading the dataset
from datasets import load_dataset
from datasets import load_dataset
ds = load_dataset("csebuetnlp/BanglaParaphrase")
Dataset Structure
Data Instances
One example from the train part of the dataset is given below in JSON format.
{
"source": "বেশিরভাগ সময় প্রকৃতির দয়ার ওপরেই বেঁচে থাকতেন উপজাতিরা।",
"target": "বেশিরভাগ সময়ই উপজাতিরা প্রকৃতির দয়ার উপর নির্ভরশীল ছিল।"
}
Data Fields
- 'source': A string representing the source sentence.
- 'target': A string representing the target sentence.
Data Splits
Dataset with train-dev-test example counts are given below:
| Language | ISO 639-1 Code | Train | Validation | Test |
|---|---|---|---|---|
| Bengali | bn | 419, 967 | 233, 31 | 233, 32 |
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
Contents of this repository are restricted to only non-commercial research purposes under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). Copyright of the dataset contents belongs to the original copyright holders.