Upload indolem_nerui.py with huggingface_hub
Browse files- indolem_nerui.py +17 -17
indolem_nerui.py
CHANGED
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@@ -2,11 +2,11 @@ from pathlib import Path
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from typing import Dict, List, Tuple
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import datasets
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from
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from
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from
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from
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_CITATION = """\
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@INPROCEEDINGS{8275098,
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@@ -84,7 +84,7 @@ _URLS = {
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_SUPPORTED_TASKS = [Tasks.NAMED_ENTITY_RECOGNITION]
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_SOURCE_VERSION = "1.0.0"
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class IndolemNERUIDataset(datasets.GeneratorBasedBuilder):
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@@ -101,22 +101,22 @@ class IndolemNERUIDataset(datasets.GeneratorBasedBuilder):
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]
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BUILDER_CONFIGS = [
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name=f"indolem_nerui_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="Indolem NER UI source schema",
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schema="source",
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subset_id=f"indolem_nerui",
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),
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name=f"
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version=datasets.Version(
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description="Indolem NER UI Nusantara schema",
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schema="
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subset_id=f"indolem_nerui",
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)
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] + [
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name=f"indolem_nerui_fold{i}_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="Indolem NER UI source schema",
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@@ -125,11 +125,11 @@ class IndolemNERUIDataset(datasets.GeneratorBasedBuilder):
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)
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for i in range(5)
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] + [
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name=f"indolem_nerui_fold{i}
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version=datasets.Version(
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description="Indolem NER UI Nusantara schema",
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schema="
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subset_id=f"indolem_nerui_fold{i}",
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)
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for i in range(5)
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@@ -146,7 +146,7 @@ class IndolemNERUIDataset(datasets.GeneratorBasedBuilder):
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"tags": [datasets.Value("string")],
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}
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)
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elif self.config.schema == "
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features = schemas.seq_label_features(self.label_classes)
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return datasets.DatasetInfo(
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@@ -198,7 +198,7 @@ class IndolemNERUIDataset(datasets.GeneratorBasedBuilder):
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}
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yield i, ex
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elif self.config.schema == "
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for i, row in enumerate(conll_dataset):
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ex = {
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"id": str(i),
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from typing import Dict, List, Tuple
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import datasets
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from seacrowd.utils import schemas
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from seacrowd.utils.common_parser import load_conll_data
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from seacrowd.utils.configs import SEACrowdConfig
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from seacrowd.utils.constants import Tasks
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_CITATION = """\
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@INPROCEEDINGS{8275098,
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_SUPPORTED_TASKS = [Tasks.NAMED_ENTITY_RECOGNITION]
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class IndolemNERUIDataset(datasets.GeneratorBasedBuilder):
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]
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BUILDER_CONFIGS = [
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SEACrowdConfig(
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name=f"indolem_nerui_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="Indolem NER UI source schema",
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schema="source",
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subset_id=f"indolem_nerui",
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),
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SEACrowdConfig(
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name=f"indolem_nerui_seacrowd_seq_label",
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version=datasets.Version(_SEACROWD_VERSION),
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description="Indolem NER UI Nusantara schema",
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schema="seacrowd_seq_label",
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subset_id=f"indolem_nerui",
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)
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] + [
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SEACrowdConfig(
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name=f"indolem_nerui_fold{i}_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="Indolem NER UI source schema",
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)
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for i in range(5)
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] + [
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SEACrowdConfig(
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name=f"indolem_nerui_fold{i}_seacrowd_seq_label",
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version=datasets.Version(_SEACROWD_VERSION),
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description="Indolem NER UI Nusantara schema",
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schema="seacrowd_seq_label",
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subset_id=f"indolem_nerui_fold{i}",
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)
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for i in range(5)
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"tags": [datasets.Value("string")],
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}
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)
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elif self.config.schema == "seacrowd_seq_label":
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features = schemas.seq_label_features(self.label_classes)
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return datasets.DatasetInfo(
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}
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yield i, ex
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elif self.config.schema == "seacrowd_seq_label":
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for i, row in enumerate(conll_dataset):
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ex = {
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"id": str(i),
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