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varta-bert

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rahular commited on May 26, 2023

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 ### Model Description
 <!-- Provide a longer summary of what this model is. -->
-Varta-BERT is a model pre-trained on the `full` training set of Varta in 14 Indic languages (Assamese, Bhojpuri, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Nepali, Oriya, Punjabi, Tamil, Telugu, and Urdu) and English, using a masked language modeling (MLM) objective.
-Varta is a large-scale news corpus for Indic languages, including 41.8 million news articles in 14 different Indic languages (and English), which come from a variety of high-quality sources.
 The dataset and the model are introduced in [this paper](https://arxiv.org/abs/2305.05858). The code is released in [this repository](https://github.com/rahular/varta). The data is released in [this bucket](https://console.cloud.google.com/storage/browser/varta-eu/data-release).

 ### Model Description
 <!-- Provide a longer summary of what this model is. -->
+Varta-BERT is a model pre-trained on the `full` training set of [Varta](https://huggingface.co/datasets/rahular/varta) in 14 Indic languages (Assamese, Bhojpuri, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Nepali, Oriya, Punjabi, Tamil, Telugu, and Urdu) and English, using a masked language modeling (MLM) objective.
+[Varta](https://huggingface.co/datasets/rahular/varta) is a large-scale news corpus for Indic languages, including 41.8 million news articles in 14 different Indic languages (and English), which come from a variety of high-quality sources.
 The dataset and the model are introduced in [this paper](https://arxiv.org/abs/2305.05858). The code is released in [this repository](https://github.com/rahular/varta). The data is released in [this bucket](https://console.cloud.google.com/storage/browser/varta-eu/data-release).