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Browse files- README.md +9 -0
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README.md
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@@ -89,6 +89,15 @@ df = dataset["train"].to_pandas()
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print(df.head(10))
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```
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## Quality and Use
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Non-Bashkir words and other language admixture were partially removed using
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print(df.head(10))
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```
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## Related N-gram Index
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For word sequences and phrase-level statistics, use the companion [Bashkir
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Word N-gram Index](https://huggingface.co/datasets/failed09/bashkir-ngram-index),
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which provides separate unigram, bigram and trigram configurations. The two
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datasets are intended to be used together: this release provides standalone
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word frequencies, while the n-gram release provides within-sentence sequence
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counts.
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## Quality and Use
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Non-Bashkir words and other language admixture were partially removed using
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2135442ab1dbebfb283e5c3b78cc7ddfcd319bca9d810e462634b48a7383b68c META.json
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-
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a8f4759ebe0385bb1967e50a01f9a5bcdda86b7d35193876ce1b3b0dd881ea61 .gitattributes
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2135442ab1dbebfb283e5c3b78cc7ddfcd319bca9d810e462634b48a7383b68c META.json
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617e04c8ce3bccaba82a8e519a2d3a4c1407673dd7b5813b0cd644072906c679 README.md
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c53ff9a696a5476aa5bb2b4ab6d67623511776c50fc98b1bb3c5c2ae457a2bef frequency_full.parquet
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f01c50a203cf14d92a0d13ceaea68eae03276c4135bf71dbeb4116c23579283d top_500.json
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