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README.md
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## Dataset Description
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- **Paper:** [PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India](https://arxiv.org/abs/2305.08828)
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- **Point of Contact:** [Ashok Urlana](mailto:[email protected])
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### Supported Tasks and Leaderboards
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Multilingual and Crosslingual summarization
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### Languages
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Assamese, Bengali, Gujarati, Hindi, Kannada, Marathi,
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## Dataset Structure
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### Data
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```
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{
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"source_url": "https://www.pmindia.gov.in/te/news_updates/%E0%B0%8E%E0%B0%B2%E0%B0%95%E0%B1%8D%E0%B0%9F%E0%B1%8D%E0%B0%B0%E0%B0%BE%E0%B0%A8%E0%B0%BF%E0%B0%95%E0%B1%8D%E0%B0%B8%E0%B1%8D-%E0%B0%87%E0%B0%82%E0%B0%95%E0%B0%BE-%E0%B0%B8%E0%B0%AE%E0%B0%BE/"
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```
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### Data
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- 'source_url': A string representing the source article URL
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- 'target_url': A string representing the target article URL
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- 'text': A string containing the article text
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- 'summary': A string containing the article summary
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### Data
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[More Information Needed](https://arxiv.org/abs/2305.08828)
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## Dataset Creation
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###
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[More Information Needed]
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### Source Data
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[PMIndia](https://www.pmindia.gov.in/)
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#### Initial Data Collection and Normalizatio
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[Detailed in the paper](https://arxiv.org/abs/2305.08828)
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#### Who are the source language producers?
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[Detailed in the paper](https://arxiv.org/abs/2305.08828)
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### Annotations
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#### Annotation process
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[Detailed in the paper](https://arxiv.org/abs/2305.08828)
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#### Who are the annotators?
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[Detailed in the paper](https://arxiv.org/abs/2305.08828)
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### Personal and Sensitive Information
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[Detailed in the paper](https://arxiv.org/abs/2305.08828)
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## Considerations for Using the Data
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### Social Impact of Dataset
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[Detailed in the paper](https://arxiv.org/abs/2305.08828)
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### Discussion of Biases
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[Detailed in the paper](https://arxiv.org/abs/2305.08828)
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### Other Known Limitations
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### Citation
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If you
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```
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@
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title={{PMIndiaSum}: Multilingual and Cross-lingual Headline Summarization for Languages in {India}},
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author={Urlana, Ashok and Chen, Pinzhen and Zhao, Zheng and Cohen, Shay B. and Shrivastava, Manish and Haddow, Barry},
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url ={https://arxiv.org/abs/2305.08828},
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year={2023}
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}
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```
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###
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- Ashok Urlana
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- Pinzhen Chen
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- Zheng Zhao
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- Shay B. Cohen
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- Manish Shrivastava
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- Barry Haddow
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### Contact
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## Dataset Description
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### Summary
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PMIndiaSum is a new multilingual and massively parallel headline summarization corpus focused on languages in India. Our corpus covers four language families, 14 languages, and the largest to date, 196 language pairs. It provides a testing ground for all cross-lingual pairs.
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### Supported tasks
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Monolingual, multilingual and cross-lingual summarization for languages in India.
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### Languages
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Assamese, Bengali, Gujarati, Hindi, Kannada, Marathi, Malayalam, Manipuri, Punjabi, Oriya, Telugu, Tamil, Urdu, English
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## Dataset Structure
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### Data instances
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We show an example of an instace of Telugu-Hindi cross-lingual pair from PMIndiaSum:
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```
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{
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"source_url": "https://www.pmindia.gov.in/te/news_updates/%E0%B0%8E%E0%B0%B2%E0%B0%95%E0%B1%8D%E0%B0%9F%E0%B1%8D%E0%B0%B0%E0%B0%BE%E0%B0%A8%E0%B0%BF%E0%B0%95%E0%B1%8D%E0%B0%B8%E0%B1%8D-%E0%B0%87%E0%B0%82%E0%B0%95%E0%B0%BE-%E0%B0%B8%E0%B0%AE%E0%B0%BE/"
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}
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```
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### Data fields
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- 'source_url': A string representing the source article URL
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- 'target_url': A string representing the target article URL
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- 'text': A string containing the article text
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- 'summary': A string containing the article summary
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### Data split
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[More Information Needed](https://arxiv.org/abs/2305.08828)
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## Dataset Creation
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### Data source
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The data source is [PMIndia](https://www.pmindia.gov.in/) with license information at [here](https://www.pmindia.gov.in/en/website-policies/).
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We also extensively used materials from the [PMIndia parallel corpus](https://arxiv.org/abs/2001.09907) and its [code](https://github.com/bhaddow/pmindia-crawler).
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### Data construction details
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You can find the more details in our [paper](https://arxiv.org/abs/2305.08828).
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### License
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Our materisl are licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). We also request that you respect the [policies]([https://www.pmindia.gov.in/en/website-policies/](https://www.pmindia.gov.in/en/website-policies/)) from the source website.
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### Materials
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- **Code repository:** [https://github.com/ashokurlana/pmindiasum](https://github.com/ashokurlana/pmindiasum)
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- **Raw data also available at:** [https://drive.google.com/file/d/1KkJ4UbDprtoeeCA6wxfMknWXykYgnLUY/view?usp=sharing](https://drive.google.com/file/d/1KkJ4UbDprtoeeCA6wxfMknWXykYgnLUY/view?usp=sharing)
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- **Description paper:** [PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India](https://arxiv.org/abs/2305.08828) at EMNLP Findings 2023.
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### Citation
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Our work will be published at EMNLP Findings 2023. If you use our code or data, please kindly cite the following:
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```
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@inproceedings{urlana-etal-2023-pmindiasum,
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title={{PMIndiaSum}: Multilingual and Cross-lingual Headline Summarization for Languages in {India}},
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author={Urlana, Ashok and Chen, Pinzhen and Zhao, Zheng and Cohen, Shay B. and Shrivastava, Manish and Haddow, Barry},
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booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
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url ={https://arxiv.org/abs/2305.08828},
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year={2023}
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}
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```
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### Contributors
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- Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow
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### Contact
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