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Update README.md

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@@ -27,7 +27,7 @@ This dataset has Wikipedia articles pertaining to Indian context.
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  The dataset is built from Wikipedia articles taken from [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia).
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  We filtered, cleaned and translated English articles related to India and Indian context out of entire dataset.
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- \Each example has contents of a full cleaned wikipedia article and it's translations in 6 Indian languages.
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  - **Curated by:** [Soket AI Labs](https://soket.ai/)
@@ -54,13 +54,13 @@ Here are token counts for each language:
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  - Kannada: 201.3 millions
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  - Urdu: 204.9 millions
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- \These numbers were extrapolated from calculations on 10% of randomly sampled dataset.\
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  Each row corresponds to a wikipedia article with the decription of article in source language(english) and translations in 6 indian languages.
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  The title is in english and descriptions in different languages is represented by column name of format "language_code"_"script".
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  Each description column in different languages is a list of sentences/multiple sentences and can be concatenated to get cleaned article decription.
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- \\Each row is of the format:
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  {'id': '1',
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  'url': 'https://simple.wikipedia.org/sample_article',
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  'title': 'Sample article',
 
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  The dataset is built from Wikipedia articles taken from [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia).
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  We filtered, cleaned and translated English articles related to India and Indian context out of entire dataset.
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+ Each example has contents of a full cleaned wikipedia article and it's translations in 6 Indian languages.
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  - **Curated by:** [Soket AI Labs](https://soket.ai/)
 
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  - Kannada: 201.3 millions
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  - Urdu: 204.9 millions
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+ These numbers were extrapolated from calculations on 10% of randomly sampled dataset.\
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  Each row corresponds to a wikipedia article with the decription of article in source language(english) and translations in 6 indian languages.
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  The title is in english and descriptions in different languages is represented by column name of format "language_code"_"script".
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  Each description column in different languages is a list of sentences/multiple sentences and can be concatenated to get cleaned article decription.
 
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+ Each row is of the format:
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  {'id': '1',
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  'url': 'https://simple.wikipedia.org/sample_article',
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  'title': 'Sample article',