Numerizer added #56
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Numerizer added #56
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jaidevd
reviewed
Nov 26, 2020
| @@ -565,6 +568,7 @@ def templatize(text, args, df): | |||
| The iris dataset has 3 {{ df.columns[0] }} - {{ df["species"].iloc[0] }}, \ | |||
| {{ df["species"].iloc[1] }} and {{ df["species"].iloc[-1] }}. | |||
| """ | |||
| text = nlp(numerize(str(text))) | |||
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Accept two kinds of input: a spacy Doc or a Python string. If the input is a spacy doc:
- numerize it as
numerize(text.text)and remap it back. - If it's text, convert to a spacy doc first.
|
@venkatakrishnareddymallu Can you please take a look at the failing tests and try to fix them? |
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This will format the numbers in English language to numbers for a give text template.
Example: "John, Bob are the top two candidates in the list" -->"John, Bob are the top 2 candidates in the list"