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README.md
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@@ -43,7 +43,8 @@ The dataset is focussed on Indian factual content for pre-training LLMs where In
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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Total number of rows: 200820 \
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It has approximately **1.54** billion tokens for all languages
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with our Indic tokenizer we created which can be found in our model repository [Pragna-1b](https://huggingface.co/soketlabs/pragna-1b).
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Here are token counts for each language:
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- English: 196.2 millions
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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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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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Total number of rows: 200820 \
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It has approximately **1.54** billion tokens for all languages. The ratio for number of tokens for each language is roughly same
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when tokenized
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with our Indic tokenizer we created which can be found in our model repository [Pragna-1b](https://huggingface.co/soketlabs/pragna-1b).
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Here are token counts for each language:
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- English: 196.2 millions
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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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```yaml
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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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