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dibyaaaaax commited on
Commit
5479945
·
1 Parent(s): 5174dda

Update kptimes.py

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Files changed (1) hide show
  1. kptimes.py +3 -3
kptimes.py CHANGED
@@ -50,7 +50,7 @@ class KPTimes(datasets.GeneratorBasedBuilder):
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  if self.config.name == "extraction": # This is the name of the configuration selected in BUILDER_CONFIGS above
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  features = datasets.Features(
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  {
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- "id": datasets.Value("int64"),
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  "document": datasets.features.Sequence(datasets.Value("string")),
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  "doc_bio_tags": datasets.features.Sequence(datasets.Value("string"))
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@@ -59,7 +59,7 @@ class KPTimes(datasets.GeneratorBasedBuilder):
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  elif self.config.name == "generation":
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  features = datasets.Features(
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  {
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- "id": datasets.Value("int64"),
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  "document": datasets.features.Sequence(datasets.Value("string")),
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  "extractive_keyphrases": datasets.features.Sequence(datasets.Value("string")),
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  "abstractive_keyphrases": datasets.features.Sequence(datasets.Value("string"))
@@ -69,7 +69,7 @@ class KPTimes(datasets.GeneratorBasedBuilder):
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  else:
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  features = datasets.Features(
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  {
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- "id": datasets.Value("int64"),
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  "document": datasets.features.Sequence(datasets.Value("string")),
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  "doc_bio_tags": datasets.features.Sequence(datasets.Value("string")),
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  "extractive_keyphrases": datasets.features.Sequence(datasets.Value("string")),
 
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  if self.config.name == "extraction": # This is the name of the configuration selected in BUILDER_CONFIGS above
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  features = datasets.Features(
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  {
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+ "id": datasets.Value("string"),
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  "document": datasets.features.Sequence(datasets.Value("string")),
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  "doc_bio_tags": datasets.features.Sequence(datasets.Value("string"))
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  elif self.config.name == "generation":
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  features = datasets.Features(
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  {
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+ "id": datasets.Value("string"),
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  "document": datasets.features.Sequence(datasets.Value("string")),
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  "extractive_keyphrases": datasets.features.Sequence(datasets.Value("string")),
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  "abstractive_keyphrases": datasets.features.Sequence(datasets.Value("string"))
 
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  else:
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  features = datasets.Features(
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  {
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+ "id": datasets.Value("string"),
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  "document": datasets.features.Sequence(datasets.Value("string")),
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  "doc_bio_tags": datasets.features.Sequence(datasets.Value("string")),
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  "extractive_keyphrases": datasets.features.Sequence(datasets.Value("string")),