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Datasets:
allenai
/
scico

Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
coreference-resolution
Languages:
English
Size:
< 1K
Tags:
cross-document-coreference-resolution
structure-prediction
Libraries:
Datasets
License:
Dataset card Data Studio Files Community
4
Arie Cattan commited on
Commit
180dd3d
·
1 Parent(s): d1db7b5

debug

Browse files
Files changed (1) hide show
  1. scico.py +24 -19
scico.py CHANGED
@@ -44,24 +44,24 @@ class Scico(datasets.GeneratorBasedBuilder):
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  "flatten_mentions": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=3)),
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  "tokens": datasets.features.Sequence(datasets.features.Value("string")),
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  "doc_ids": datasets.features.Sequence(datasets.features.Value("int32")),
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- "metadata": datasets.features.Sequence(
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- {
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- "title": datasets.features.Value("string"),
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- "paper_sha": datasets.features.Value("string"),
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- "fields_of_study": datasets.features.Value("string"),
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- "Year": datasets.features.Value("string"),
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- "BookTitle": datasets.features.Value("string"),
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- "url": datasets.features.Value("string")
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- }
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- ),
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- "sentences": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32")))),
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- "mentions": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=4)),
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- "relations": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=2)),
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- "id": datasets.Value("int32"),
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- "source": datasets.Value("string"),
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- "hard_10": datasets.features.Value("bool"),
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- "hard_20": datasets.features.Value("bool"),
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- "curated": datasets.features.Value("bool")
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  }
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  ),
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  supervised_keys=None,
@@ -90,4 +90,9 @@ class Scico(datasets.GeneratorBasedBuilder):
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  topic['hard_10'] = topic['hard_10'] if 'hard_10' in topic else False
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  topic['hard_20'] = topic['hard_20'] if 'hard_10' in topic else False
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  topic["curated"] = topic["curated"] if "curated" in topic else False
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- yield i, topic
 
 
 
 
 
 
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  "flatten_mentions": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=3)),
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  "tokens": datasets.features.Sequence(datasets.features.Value("string")),
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  "doc_ids": datasets.features.Sequence(datasets.features.Value("int32")),
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+ # "metadata": datasets.features.Sequence(
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+ # {
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+ # "title": datasets.features.Value("string"),
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+ # "paper_sha": datasets.features.Value("string"),
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+ # "fields_of_study": datasets.features.Value("string"),
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+ # "Year": datasets.features.Value("string"),
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+ # "BookTitle": datasets.features.Value("string"),
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+ # "url": datasets.features.Value("string")
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+ # }
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+ # ),
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+ # "sentences": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32")))),
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+ # "mentions": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=4)),
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+ # "relations": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=2)),
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+ # "id": datasets.Value("int32"),
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+ # "source": datasets.Value("string"),
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+ # "hard_10": datasets.features.Value("bool"),
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+ # "hard_20": datasets.features.Value("bool"),
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+ # "curated": datasets.features.Value("bool")
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  }
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  ),
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  supervised_keys=None,
 
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  topic['hard_10'] = topic['hard_10'] if 'hard_10' in topic else False
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  topic['hard_20'] = topic['hard_20'] if 'hard_10' in topic else False
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  topic["curated"] = topic["curated"] if "curated" in topic else False
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+ yield i, {
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+ "flatten_tokens": topic["flatten_tokens"],
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+ "flatten_mentions": topic["flatten_mentions"],
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+ "tokens": topic["tokens"],
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+ "doc_ids": topic["doc_ids"]
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+ }