Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
Hebrew
Size:
1K - 10K
ArXiv:
License:
imvladikon
commited on
Commit
•
e146819
1
Parent(s):
986013a
Update bmc.py
Browse files
bmc.py
CHANGED
@@ -60,6 +60,7 @@ class BMC(datasets.GeneratorBasedBuilder):
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{
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"id": datasets.Value("string"),
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"tokens": datasets.Sequence(datasets.Value("string")),
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"ner_tags": datasets.Sequence(
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datasets.features.ClassLabel(
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names=[
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@@ -124,6 +125,7 @@ class BMC(datasets.GeneratorBasedBuilder):
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guid = 0
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tokens = []
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ner_tags = []
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for line in f:
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if line.startswith("-DOCSTART-") or line == "" or line == "\n":
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if tokens:
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@@ -134,14 +136,17 @@ class BMC(datasets.GeneratorBasedBuilder):
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}
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guid += 1
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tokens = []
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ner_tags = []
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else:
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splits = line.split(sep)
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tokens.append(splits[0])
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ner_tags.append(splits[1].rstrip())
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# last example
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yield guid, {
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"id": str(guid),
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"tokens": tokens,
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"ner_tags": ner_tags,
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}
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{
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"id": datasets.Value("string"),
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"tokens": datasets.Sequence(datasets.Value("string")),
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+
"raw_tags": datasets.Sequence(datasets.Value("string")),
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"ner_tags": datasets.Sequence(
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datasets.features.ClassLabel(
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names=[
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guid = 0
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tokens = []
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ner_tags = []
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+
raw_tags = []
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for line in f:
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if line.startswith("-DOCSTART-") or line == "" or line == "\n":
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if tokens:
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}
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guid += 1
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tokens = []
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+
raw_tags = []
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ner_tags = []
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else:
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splits = line.split(sep)
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tokens.append(splits[0])
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+
raw_tags.append(splits[1].rstrip())
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ner_tags.append(splits[1].rstrip())
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# last example
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yield guid, {
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"id": str(guid),
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"tokens": tokens,
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+
"raw_tags": raw_tags,
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"ner_tags": ner_tags,
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}
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