license: apache-2.0
task_categories:
- summarization
- text-generation
language:
- hi
- gu
- bn
- en
configs:
- config_name: Hindi
data_files:
- split: train
path: Hindi/train.csv
- split: test
path: Hindi/test.csv
default: true
- config_name: Gujarati
data_files:
- split: train
path: Gujarati/train.csv
- split: test
path: Gujarati/test.csv
- config_name: English
data_files:
- split: train
path: English/train.csv
- split: test
path: English/test.csv
- config_name: Bengali
data_files:
- split: train
path: Bengali/train.csv
- split: test
path: Bengali/test.csv
size_categories:
- 10K<n<100K
Dataset Card for "ILSUM-2.0"
Dataset Summary
ILSUM-2.0 contains additional ~10K articles along with ILSUM-1.0 dataset. Along with Hindi, English, and Gujarati, which were part of ILSUM-1.0, Bengali is also introduced as part of ILSUM-20. dataset.
The dataset for this task is built using articles and headline pairs from several leading newspapers of the country. We provide >=10,000 news articles for each language. The task is to generate a meaningful fixed length summary, either extractive or abstractive, for each article. While several previous works in other languages use news artciles - headlines pair, the current dataset poses a unique challenge of code-mixing and script mixing. It is very common for news articles to borrow phrases from english, even if the article itself is written in an Indian Language.
Examples like these are a common occurence both in the headlines as well as in the articles.
- "IND vs SA, 5મી T20 તસવીરોમાં: વરસાદે વિલન બની મજા બગાડી" (India vs SA, 5th T20 in pictures: rain spoils the match)
- "LIC के IPO में पैसा लगाने वालों का टूटा दिल, आई एक और नुकसानदेह खबर" (Investors of LIC IPO left broken hearted, yet another bad news).
Languages
- Hindi
- Gujarati
- Bengali
- English
Data Fields
- id: Unique id of each datapoint
- Article: Entire News article
- Headline: Headline of News Article
- Summary: Summary of News Article
Data Splits
Data for all four languages is divided into two splits train and test.
Load dataset using hf-dataset class
from datasets import load_dataset
dataset = load_dataset("ILSUM/ILSUM-2.0", "Hindi")
# you can use any of the following config names as a second argument:
# "English", "Hindi", "Gujarati", Bengali
Citation Information
If you are using the dataset or the models please cite the following paper
@article{satapara2023findings,
title={Key Takeaways from the Second Shared Task on Indian Language Summarization (ILSUM 2023).},
author={Satapara, Shrey and Mehta, Parth and Modha, Sandip and Ganguly, Debasis},
journal={Working Notes of FIRE},
pages={724-733},
year={2023}
}
Contributions
Shrey Satapara, Indian Institute Of Technology, Hyderabad, India
Sandip Modha, LDRP-ITR, Gandhinagar, India
Parth Mehta, Parmonic, USA
Debasis Ganguly, University Of Glasgow, UK