Upload term_a.py with huggingface_hub
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term_a.py
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@@ -3,15 +3,15 @@ from typing import List
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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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DEFAULT_SOURCE_VIEW_NAME, Tasks)
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_DATASETNAME = "term_a"
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_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
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_UNIFIED_VIEW_NAME =
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_LANGUAGES = ["ind"]
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_LOCAL = False
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@@ -54,7 +54,7 @@ _URLs = {
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_SUPPORTED_TASKS = [Tasks.KEYWORD_TAGGING]
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_SOURCE_VERSION = "1.0.0"
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class BaPOSDataset(datasets.GeneratorBasedBuilder):
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@@ -63,18 +63,18 @@ class BaPOSDataset(datasets.GeneratorBasedBuilder):
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label_classes = ["B-ASPECT", "I-ASPECT", "B-SENTIMENT", "I-SENTIMENT", "O"]
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BUILDER_CONFIGS = [
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name="term_a_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="TermA source schema",
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schema="source",
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subset_id="term_a",
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),
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name="
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version=datasets.Version(
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description="TermA Nusantara schema",
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schema="
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subset_id="term_a",
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),
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]
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@@ -84,7 +84,7 @@ class BaPOSDataset(datasets.GeneratorBasedBuilder):
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def _info(self):
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if self.config.schema == "source":
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features = datasets.Features({"index": datasets.Value("string"), "tokens": [datasets.Value("string")], "token_tag": [datasets.Value("string")]})
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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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@@ -127,7 +127,7 @@ class BaPOSDataset(datasets.GeneratorBasedBuilder):
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for i, row in enumerate(conll_dataset):
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ex = {"index": str(i), "tokens": row["sentence"], "token_tag": row["label"]}
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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 = {"id": str(i), "tokens": row["sentence"], "labels": row["label"]}
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yield i, ex
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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 (DEFAULT_SEACROWD_VIEW_NAME,
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DEFAULT_SOURCE_VIEW_NAME, Tasks)
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_DATASETNAME = "term_a"
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_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
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_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
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_LANGUAGES = ["ind"]
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_LOCAL = False
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_SUPPORTED_TASKS = [Tasks.KEYWORD_TAGGING]
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class BaPOSDataset(datasets.GeneratorBasedBuilder):
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label_classes = ["B-ASPECT", "I-ASPECT", "B-SENTIMENT", "I-SENTIMENT", "O"]
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BUILDER_CONFIGS = [
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SEACrowdConfig(
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name="term_a_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="TermA source schema",
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schema="source",
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subset_id="term_a",
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),
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SEACrowdConfig(
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name="term_a_seacrowd_seq_label",
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version=datasets.Version(_SEACROWD_VERSION),
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description="TermA Nusantara schema",
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schema="seacrowd_seq_label",
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subset_id="term_a",
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),
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]
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def _info(self):
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if self.config.schema == "source":
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features = datasets.Features({"index": datasets.Value("string"), "tokens": [datasets.Value("string")], "token_tag": [datasets.Value("string")]})
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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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for i, row in enumerate(conll_dataset):
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ex = {"index": str(i), "tokens": row["sentence"], "token_tag": row["label"]}
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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 = {"id": str(i), "tokens": row["sentence"], "labels": row["label"]}
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yield i, ex
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