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boudinfl commited on
Commit
dd8b6f5
1 Parent(s): 260295c

update fields

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Files changed (2) hide show
  1. README.md +1 -5
  2. kptimes.py +0 -8
README.md CHANGED
@@ -54,12 +54,8 @@ The following data fields are available :
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  - **keyphrases**: list of reference keyphrases.
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  - **prmu**: list of <u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen categories for reference keyphrases.
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  - **date**: publishing date (YYYY/MM/DD)
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- - **author**: author of the article (<meta name="author"/>)
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  - **categories**: categories of the article (1 or 2 categories)
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- - **headline**: self-explanatory (<meta property="og:description"/>)
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- - **file_name**: last part of the url, this is not a primary key
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- - **url**: original url of the document
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-
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  ## References
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  - (Gallina et al., 2019) Ygor Gallina, Florian Boudin, and Beatrice Daille. 2019.
 
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  - **keyphrases**: list of reference keyphrases.
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  - **prmu**: list of <u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen categories for reference keyphrases.
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  - **date**: publishing date (YYYY/MM/DD)
 
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  - **categories**: categories of the article (1 or 2 categories)
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+ -
 
 
 
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  ## References
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  - (Gallina et al., 2019) Ygor Gallina, Florian Boudin, and Beatrice Daille. 2019.
kptimes.py CHANGED
@@ -83,11 +83,7 @@ class KPTimes(datasets.GeneratorBasedBuilder):
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  "keyphrases": datasets.features.Sequence(datasets.Value("string")),
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  "prmu": datasets.features.Sequence(datasets.Value("string")),
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  "date": datasets.Value("string"),
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- "author": datasets.Value("string"),
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  "categories": datasets.features.Sequence(datasets.Value("string")),
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- "headline": datasets.Value("string"),
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- "file_name": datasets.Value("string"),
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- "url": datasets.Value("string"),
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  }
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  )
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  return datasets.DatasetInfo(
@@ -157,10 +153,6 @@ class KPTimes(datasets.GeneratorBasedBuilder):
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  "keyphrases": data["keyphrases"],
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  "prmu": data["prmu"],
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  "date": data["date"],
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- "author": data["author"],
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  "categories": data["categories"],
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- "headline": data["headline"],
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- "file_name": data["file_name"],
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- "url": data["url"],
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  }
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  "keyphrases": datasets.features.Sequence(datasets.Value("string")),
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  "prmu": datasets.features.Sequence(datasets.Value("string")),
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  "date": datasets.Value("string"),
 
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  "categories": datasets.features.Sequence(datasets.Value("string")),
 
 
 
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  }
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  )
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  return datasets.DatasetInfo(
 
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  "keyphrases": data["keyphrases"],
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  "prmu": data["prmu"],
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  "date": data["date"],
 
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  "categories": data["categories"],
 
 
 
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  }
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