Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Hindi
Size:
100K<n<1M
ArXiv:
License:
Commit
·
3671c49
1
Parent(s):
e9b4d6d
add json files
Browse files- HiNER-collapsed.py +7 -46
HiNER-collapsed.py
CHANGED
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@@ -44,12 +44,12 @@ class HiNERCollapsedConfig(datasets.GeneratorBasedBuilder):
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datasets.features.ClassLabel(
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names=[
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"O",
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"B-
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"I-
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"B-
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"I-
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"B-
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"I-
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]
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)
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),
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@@ -87,44 +87,5 @@ class HiNERCollapsedConfig(datasets.GeneratorBasedBuilder):
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yield id_, {
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"id": str(id_),
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"tokens": object['tokens'],
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#"pos_tags": object['pos_tags'],
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"ner_tags": object['ner_tags'],
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}
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# def _generate_examples(self, filepath):
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# logger.info("⏳ Generating examples from = %s", filepath)
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# with open(filepath, encoding="utf-8") as f:
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# guid = 0
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# tokens = []
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# # pos_tags = []
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# # chunk_tags = []
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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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# yield guid, {
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# "id": str(guid),
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# "tokens": tokens,
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# # "pos_tags": pos_tags,
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# # "chunk_tags": chunk_tags,
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# "ner_tags": ner_tags,
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# }
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# guid += 1
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# tokens = []
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# # pos_tags = []
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# # chunk_tags = []
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# ner_tags = []
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# else:
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# # conll2003 tokens are space separated
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# splits = line.split("\t")
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# tokens.append(splits[0].strip())
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# # pos_tags.append(splits[1])
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# # chunk_tags.append(splits[2])
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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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# # "pos_tags": pos_tags,
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# # "chunk_tags": chunk_tags,
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# "ner_tags": ner_tags,
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# }
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datasets.features.ClassLabel(
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names=[
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"O",
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+
"B-PER",
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+
"I-PER",
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"B-LOC",
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"I-LOC",
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"B-ORG",
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"I-ORG"
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]
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)
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),
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yield id_, {
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"id": str(id_),
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"tokens": object['tokens'],
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"ner_tags": object['ner_tags'],
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+
}
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