Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Tagalog
Size:
1K - 10K
ArXiv:
DOI:
License:
ljvmiranda921
commited on
Commit
•
969f2e4
1
Parent(s):
3281e02
Fix loading script
Browse files- .gitattributes +1 -0
- tlunified-ner.py +8 -7
.gitattributes
CHANGED
@@ -56,3 +56,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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corpus/iob/dev.iob filter=lfs diff=lfs merge=lfs -text
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corpus/iob/test.iob filter=lfs diff=lfs merge=lfs -text
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corpus/iob/train.iob filter=lfs diff=lfs merge=lfs -text
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corpus/iob/dev.iob filter=lfs diff=lfs merge=lfs -text
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corpus/iob/test.iob filter=lfs diff=lfs merge=lfs -text
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corpus/iob/train.iob filter=lfs diff=lfs merge=lfs -text
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+
*.iob filter=lfs diff=lfs merge=lfs -text
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tlunified-ner.py
CHANGED
@@ -7,8 +7,9 @@ logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """"""
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_LICENSE = """GNU GPL v3.0"""
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_CLASSES = ["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]
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-
_VERSION = "1.0"
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class TLUnifiedNERConfig(datasets.BuilderConfig):
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@@ -21,7 +22,7 @@ class TLUnifiedNER(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version(_VERSION)
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-
def _info() -> "datasets.DatasetInfo":
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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@@ -29,10 +30,11 @@ class TLUnifiedNER(datasets.GeneratorBasedBuilder):
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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.
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),
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}
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),
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supervised_keys=None,
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)
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@@ -42,11 +44,10 @@ class TLUnifiedNER(datasets.GeneratorBasedBuilder):
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"""Return a list of SplitGenerators that organizes the splits."""
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# The file extracts into {train,dev,test}.spacy files. The _generate_examples function
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# below will define how these files are parsed.
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-
corpus_dir = "corpus/iob"
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data_files = {
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-
"train":
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"dev":
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"test":
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}
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return [
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_DESCRIPTION = """"""
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_LICENSE = """GNU GPL v3.0"""
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+
_URL = "https://huggingface.co/ljvmiranda921/tlunified-ner"
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_CLASSES = ["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]
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_VERSION = "1.0.0"
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class TLUnifiedNERConfig(datasets.BuilderConfig):
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VERSION = datasets.Version(_VERSION)
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+
def _info(self) -> "datasets.DatasetInfo":
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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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(names=_CLASSES)
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),
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}
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),
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homepage=_URL,
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supervised_keys=None,
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)
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"""Return a list of SplitGenerators that organizes the splits."""
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# The file extracts into {train,dev,test}.spacy files. The _generate_examples function
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# below will define how these files are parsed.
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data_files = {
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"train": dl_manager.download_and_extract("corpus/iob/train.iob"),
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"dev": dl_manager.download_and_extract("corpus/iob/dev.iob"),
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"test": dl_manager.download_and_extract("corpus/iob/test.iob"),
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}
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return [
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