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  size_categories:
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  - 100K<n<1M
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  ---
 
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  # Dataset Card for "PMIndiaSum"
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  ## Dataset Description
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- ### Summary
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-
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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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-
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  Assamese, Bengali, Gujarati, Hindi, Kannada, Marathi, Malayalam, Manipuri, Punjabi, Oriya, Telugu, Tamil, Urdu, English
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- ## Usage
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- ### Monolingual and cross-lingual
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- ### Multilingual
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  ## Dataset Structure
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- ### Data instances
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-
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  We show an example of a Telugu-Hindi cross-lingual pair from PMIndiaSum:
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  ```
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  {
@@ -55,7 +53,7 @@ We show an example of a Telugu-Hindi cross-lingual pair from PMIndiaSum:
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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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  - 'summary': A string containing the article summary
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- ## Dataset Creation
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-
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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 more details in our [paper](https://arxiv.org/abs/2305.08828).
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- ### License
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-
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  Our materials 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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  ```
@@ -96,10 +92,8 @@ Our work will be published at EMNLP Findings 2023. If you use our code or data,
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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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  Ashok Urlana (ashokurlana@gmail.com)
 
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  size_categories:
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  - 100K<n<1M
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  ---
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+
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  # Dataset Card for "PMIndiaSum"
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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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+ ## Example Usage
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+ #### Monolingual and cross-lingual summarization
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+ #### Multilingual summarization
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  ## Dataset Structure
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+ #### Data instances
 
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  We show an example of a Telugu-Hindi cross-lingual pair from PMIndiaSum:
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  ```
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  {
 
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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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  - 'summary': A string containing the article summary
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+ ## Creation Details
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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 more details in our [paper](https://arxiv.org/abs/2305.08828).
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+ ## Other Information
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+ #### License
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  Our materials 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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  }
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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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  Ashok Urlana (ashokurlana@gmail.com)