metadata

license: cc-by-4.0
task_categories:
  - summarization
language:
  - ur
tags:
  - Urdu
  - Summarization
pretty_name: Urdu Summarization (BBC and DW Urdu News)
size_categories:
  - 10K<n<100K

Urdu_DW-BBC-512

Dataset Description

Homepage:
Repository:
Paper: https://dl.acm.org/doi/10.1145/3675780
Point of Contact: mubashir.munaaf@gmail.com

Dataset Summary

Urdu Summarization Dataset containining 76,637 records of Article + Summary pairs scrapped from BBC Urdu and DW Urdu News Websites.
Preprocessed Version: upto 512 tokens (~words); removed URLs, Pic Captions etc

Supported Tasks and Leaderboards

Summarization: Extractive and Abstractive

urT5 adapted from mT5 having monolingual vocabulary only; 40k tokens of Urdu.
- Fine-tuned version @ https://huggingface.co/mbshr/urt5-base-finetuned, ref to https://dl.acm.org/doi/10.1145/3675780 for details.
ROUGE-1 F Score: 40.03 combined, 46.35 BBC Urdu datapoints only and 36.91 DW Urdu datapoints only)
BERTScore: 75.1 combined, 77.0 BBC Urdu datapoints only and 74.16 DW Urdu datapoints only

Languages

Urdu.

Data Fields

- url: URL of the article from where it was scrapped (BBC Urdu URLs in english topic text with number & DW Urdu with Urdu topic text)
  dtype: {string}
- Summary: Short Summary of article written by author of article like highlights.
  dtype: {string}
- Text: Complete Text of article which are intelligently trucated to 512 tokens.
  dtype: {string}

Citation Information

https://dl.acm.org/doi/10.1145/3675780

Bibtex @article{10.1145/3675780, author = {Munaf, Mubashir and Afzal, Hammad and Mahmood, Khawir and Iltaf, Naima}, title = {Low Resource Summarization using Pre-trained Language Models}, year = {2024}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, issn = {2375-4699}, url = {https://doi.org/10.1145/3675780}, doi = {10.1145/3675780}, journal = {ACM Trans. Asian Low-Resour. Lang. Inf. Process.}, month = {jul}, }