Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
License:
Update clef24_dataset_en.py
Browse files- clef24_dataset_en.py +9 -7
clef24_dataset_en.py
CHANGED
@@ -1,7 +1,8 @@
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"""Multilang Dataset loading script."""
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-
from datasets import
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from datasets import SplitGenerator, Split, Features, Value
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import os
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@@ -22,16 +23,17 @@ _CITATION = """\
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_LICENSE = "Your dataset's license here."
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class
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"""A multilingual text dataset."""
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BUILDER_CONFIGS = [
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BuilderConfig(name="
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]
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DEFAULT_CONFIG_NAME = "
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def _info(self):
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return DatasetInfo(
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description=_DESCRIPTION,
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features=Features({
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@@ -45,7 +47,7 @@ class MultilangDataset(GeneratorBasedBuilder):
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license=_LICENSE,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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# Assumes your dataset is located in "."
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data_dir = os.path.abspath("data")
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@@ -62,7 +64,7 @@ class MultilangDataset(GeneratorBasedBuilder):
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for split in splits.keys()
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]
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def _generate_examples(self, filepath, split):
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"""Yields examples."""
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with open(filepath, encoding="utf-8") as f:
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for id_, row in enumerate(f):
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@@ -73,4 +75,4 @@ class MultilangDataset(GeneratorBasedBuilder):
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"sentence_id": cols[0],
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"sentence": cols[1],
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"label": cols[2],
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}
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"""Multilang Dataset loading script."""
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from datasets import DatasetInfo, BuilderConfig, Version, GeneratorBasedBuilder, DownloadManager
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from datasets import SplitGenerator, Split, Features, Value
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from typing import Generator, Tuple, Union
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import os
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_LICENSE = "Your dataset's license here."
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class CLEF24EnData(GeneratorBasedBuilder):
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"""A multilingual text dataset."""
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BUILDER_CONFIGS = [
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BuilderConfig(name="clef_data_en", version=Version("1.0.0"), description="English dataset for check-worthy claim classification."),
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]
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DEFAULT_CONFIG_NAME = "clef_data_en" # Default configuration name.
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def _info(self):
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"""Construct the DatasetInfo object."""
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return DatasetInfo(
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description=_DESCRIPTION,
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features=Features({
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license=_LICENSE,
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)
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def _split_generators(self, dl_manager: DownloadManager) -> list[SplitGenerator]:
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"""Returns SplitGenerators."""
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# Assumes your dataset is located in "."
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data_dir = os.path.abspath("data")
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for split in splits.keys()
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]
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def _generate_examples(self, filepath: Union[str, os.PathLike], split: str) -> Generator[Tuple[str, dict], None, None]:
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"""Yields examples."""
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with open(filepath, encoding="utf-8") as f:
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for id_, row in enumerate(f):
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"sentence_id": cols[0],
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"sentence": cols[1],
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"label": cols[2],
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}
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