Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
coreference-resolution
Languages:
English
Size:
< 1K
License:
Arie Cattan
commited on
Commit
•
3bfa95b
1
Parent(s):
9c1dc3e
fix
Browse files
scico.py
CHANGED
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@@ -41,27 +41,27 @@ class Scico(datasets.GeneratorBasedBuilder):
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features=datasets.Features(
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{
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"flatten_tokens": datasets.features.Sequence(datasets.features.Value("string")),
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"tokens": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("string"))),
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}
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),
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supervised_keys=None,
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@@ -88,11 +88,6 @@ class Scico(datasets.GeneratorBasedBuilder):
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with jsonlines.open(filepath, 'r') as f:
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for i, topic in enumerate(f):
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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 '
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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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}
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features=datasets.Features(
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{
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"flatten_tokens": datasets.features.Sequence(datasets.features.Value("string")),
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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.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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with jsonlines.open(filepath, 'r') as f:
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for i, topic in enumerate(f):
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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_20' 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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