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  - document-categorization
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  size_categories:
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  - 100K<n<1M
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - document-categorization
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  size_categories:
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  - 100K<n<1M
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+ ---
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+ # Dataset Card for 'Shironaam'
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+
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+ ## Dataset Description
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+
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+ - **Homepage:**
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+ - **Repository:https://github.com/dialect-ai/BenHeadGen**
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+ - **Paper:https://aclanthology.org/2023.eacl-main.4/**
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+ - **Leaderboard:**
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+ - **Point of Contact:[email protected]**
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+
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+ ### Dataset Summary
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+
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+ Automatic headline generation systems have the potential to assist editors in finding interesting headlines to attract visitors or readers. However, the performance of headline
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+ generation systems remains challenging due to
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+ the unavailability of sufficient parallel data for
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+ low-resource languages like Bengali. We provide **Shironaam**, a large-scale news headline generation dataset of a low-resource language _i.e._, Bengali containing over 240K news headline-article pairings with auxiliary information such as image captions, topic words, and category information. Also, this dataset can potentially be used for other tasks such as document categorization, news clustering, keyword identification, etc.
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+
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+ <!---
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+ -->
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+
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+ ### Language(s)
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+
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+ Bengali
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+ [More Information Needed]
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+ ### Data Fields
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+ [More Information Needed]
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+
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+ ### Data Splits
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+ [More Information Needed]
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+ [More Information Needed]
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+
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+ ### Source Data
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+ #### Initial Data Collection and Normalization
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+ [More Information Needed]
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+ ### Other Known Limitations
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+ [More Information Needed]
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+ ## Additional Information
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+ ### Dataset Curators
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+ [More Information Needed]
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+ ### Licensing Information
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+ [More Information Needed]
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+ ### Citation Information
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+ If you find this work useful for your research, please consider citing:
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+ ```
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+ @inproceedings{akash-etal-2023-shironaam,
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+ title = "Shironaam: {B}engali News Headline Generation using Auxiliary Information",
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+ author = "Akash, Abu Ubaida and
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+ Nayeem, Mir Tafseer and
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+ Shohan, Faisal Tareque and
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+ Islam, Tanvir",
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+ booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics",
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+ month = may,
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+ year = "2023",
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+ address = "Dubrovnik, Croatia",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2023.eacl-main.4",
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+ pages = "52--67",
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+ }
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+ ```
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+
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+ ### Contributors
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+ - Abu Ubaida Akash ([email protected])
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+ - Mir Tafseer Nayeem ([email protected])
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+ - Faisal Tareque Shohan ([email protected])
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+ - Tanvir Islam ([email protected])