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@@ -57,7 +57,7 @@ ds = load_dataset('SuryaKrishna02/aya-telugu-news-articles')
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  Telugu is a low-resource language where there no title and article generation instruct-style dataset to the best of my knowledge. This was created as a part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI to make sure Telugu is well represented in the space of AI/ML. Unlike other datasets that are limited to non-commercial use, this dataset can be used, modified, and extended for any purpose, including academic or commercial applications.
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  ## Sources
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- - **Suryaa Newsarticles Website**: Performed webscraping from [Suryaa Website](https://telugu.suryaa.com/) which is a famous news articles website in the Telugu State. Next, performed some pre-processing of the data like removing unwanted characters, removing too lengthy or too short articles from the scraped data. Finally, converted the scraped data into Instruct-style prompts and completions.
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  ## Templates
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  For the creation of instruct-style prompts and completions from the scraped data, the following two templates were used:
 
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  Telugu is a low-resource language where there no title and article generation instruct-style dataset to the best of my knowledge. This was created as a part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI to make sure Telugu is well represented in the space of AI/ML. Unlike other datasets that are limited to non-commercial use, this dataset can be used, modified, and extended for any purpose, including academic or commercial applications.
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  ## Sources
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+ - **Suryaa Newsarticles Website**: Performed webscraping from [Suryaa Website](https://telugu.suryaa.com/) which is a famous news articles website in Telugu States. Next, performed some pre-processing of the data like removing unwanted characters, removing too lengthy or too short articles from the scraped data. Finally, converted the scraped data into Instruct-style prompts and completions.
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  ## Templates
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  For the creation of instruct-style prompts and completions from the scraped data, the following two templates were used: