Datasets:
Size:
10K - 100K
License:
Update occlusion_swiss_judgment_prediction.py
Browse files
occlusion_swiss_judgment_prediction.py
CHANGED
@@ -97,42 +97,38 @@ class OcclusionSwissJudgmentPrediction(datasets.GeneratorBasedBuilder):
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# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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urls = _URLS[self.config.name]
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filepath_test_1 = dl_manager.download(os.path.join(urls, "test_occ_1.jsonl.xz"))
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filepath_test_2 = dl_manager.download(os.path.join(urls, "test_occ_2.jsonl.xz"))
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filepath_test_3 = dl_manager.download(os.path.join(urls, "test_occ_3.jsonl.xz"))
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filepath_test_4 = dl_manager.download(os.path.join(urls, "test_occ_4.jsonl.xz"))
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return [
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datasets.SplitGenerator(
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name=
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": filepath_test_1
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"split": "test_1"
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},
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),
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datasets.SplitGenerator(
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name=
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": filepath_test_2,
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"split": "test_2"
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},
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),
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datasets.SplitGenerator(
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name=
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": filepath_test_3
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"split": "test_3"
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},
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),
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datasets.SplitGenerator(
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name=
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": filepath_test_4,
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"split": "test_4"
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},
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)
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]
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# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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urls = _URLS[self.config.name]
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filepath_test_1 = dl_manager.download(os.path.join(urls, "data/test_occ_1.jsonl.xz"))
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filepath_test_2 = dl_manager.download(os.path.join(urls, "data/test_occ_2.jsonl.xz"))
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filepath_test_3 = dl_manager.download(os.path.join(urls, "data/test_occ_3.jsonl.xz"))
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filepath_test_4 = dl_manager.download(os.path.join(urls, "data/test_occ_4.jsonl.xz"))
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return [
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datasets.SplitGenerator(
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name="test_1",
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": filepath_test_1
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},
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),
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datasets.SplitGenerator(
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name="test_2",
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": filepath_test_2,
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},
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),
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datasets.SplitGenerator(
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name="test_3",
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": filepath_test_3
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},
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),
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datasets.SplitGenerator(
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name="test_4",
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": filepath_test_4,
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},
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)
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]
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