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

  Supported Tasks and Leaderboards

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  Dataset Structure

  Data Instances

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  Source Data

  Initial Data Collection and Normalization

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  Who are the source language producers?

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  Annotations

  Annotation process

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  Who are the annotators?

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  Personal and Sensitive Information

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  Considerations for Using the Data

  Social Impact of Dataset

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  Discussion of Biases

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  Other Known Limitations

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  Additional Information

  Dataset Curators

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  Licensing Information

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