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Datasets:
napsternxg
/
nyt_ingredients

Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
expert-generated
Tags:
recipe
ingredients
License:
Dataset card Files Community
1
napsternxg commited on
Commit
2fd0c64
•
1 Parent(s): 39c7f3b

Update nyt_ingredients.py

Browse files
Files changed (1) hide show
  1. nyt_ingredients.py +16 -2
nyt_ingredients.py CHANGED
@@ -79,8 +79,22 @@ class NYTIngredients(datasets.GeneratorBasedBuilder):
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  "tokens": datasets.Sequence(datasets.Value("string")),
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  "index": datasets.Sequence(datasets.Value("string")),
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  "lengthGroup": datasets.Sequence(datasets.Value("string")),
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- "isCapitalized": datasets.Sequence(datasets.Value("string")),
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- "insideParenthesis": datasets.Sequence(datasets.Value("string")),
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "label": datasets.Sequence(
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  datasets.features.ClassLabel(
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  names=[
 
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  "tokens": datasets.Sequence(datasets.Value("string")),
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  "index": datasets.Sequence(datasets.Value("string")),
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  "lengthGroup": datasets.Sequence(datasets.Value("string")),
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+ "isCapitalized": datasets.Sequence(
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+ datasets.features.ClassLabel(
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+ names=[
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+ "NoCAP",
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+ "YesCAP"
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+ ]
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+ )
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+ ),
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+ "insideParenthesis": datasets.Sequence(
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+ datasets.features.ClassLabel(
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+ names=[
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+ "NoPAREN",
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+ "YesPAREN",
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+ ]
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+ )
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+ ),
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  "label": datasets.Sequence(
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  datasets.features.ClassLabel(
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  names=[