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Update README.md

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@@ -171,9 +171,9 @@ You can finetune this model on your own dataset.
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  * Size: 44,072 training samples
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- * Columns: <code>gender</code>, <code>masterCategory</code>, <code>subCategory</code>, <code>articleType</code>, <code>baseColour</code>, <code>season</code>, <code>usage</code>, and <code>sentence_7</code>
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  * Approximate statistics based on the first 1000 samples:
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- | | sentence_0 | sentence_1 | productDisplayName | sentence_3 | sentence_4 | sentence_5 | sentence_6 | sentence_7 |
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  |:--------|:-------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:-------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:-------------------------------------------------------------------------------|:-------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
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  | type | string | string | string | string | string | string | string | string |
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  | details | <ul><li>min: 3 tokens</li><li>mean: 3.1 tokens</li><li>max: 5 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.26 tokens</li><li>max: 4 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.62 tokens</li><li>max: 7 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.9 tokens</li><li>max: 7 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.08 tokens</li><li>max: 5 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.0 tokens</li><li>max: 3 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.0 tokens</li><li>max: 3 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 10.13 tokens</li><li>max: 28 tokens</li></ul> |
 
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  * Size: 44,072 training samples
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+ * Columns: <code>gender</code>, <code>masterCategory</code>, <code>subCategory</code>, <code>articleType</code>, <code>baseColour</code>, <code>season</code>, <code>usage</code>, and <code>productDisplayName</code>
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  * Approximate statistics based on the first 1000 samples:
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+ | | gender | masterCategory | subCategory | articleType | baseColour | season | usage | productDisplayName |
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  |:--------|:-------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:-------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:-------------------------------------------------------------------------------|:-------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
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  | type | string | string | string | string | string | string | string | string |
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  | details | <ul><li>min: 3 tokens</li><li>mean: 3.1 tokens</li><li>max: 5 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.26 tokens</li><li>max: 4 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.62 tokens</li><li>max: 7 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.9 tokens</li><li>max: 7 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.08 tokens</li><li>max: 5 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.0 tokens</li><li>max: 3 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.0 tokens</li><li>max: 3 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 10.13 tokens</li><li>max: 28 tokens</li></ul> |