Upload TexPrax.py
Browse files- TexPrax.py +6 -6
TexPrax.py
CHANGED
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@@ -165,7 +165,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
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data_dir = dl_manager.download_and_extract(urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "industrie_sents_batch_1.csv"),
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@@ -173,7 +173,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "zerspanung_sents_batch_1.csv"),
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@@ -181,7 +181,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "sents_batch_2.csv"),
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@@ -202,7 +202,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
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data_dir = dl_manager.download_and_extract(urls)
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return [
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datasets.SplitGenerator(
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-
name=datasets.Split.
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "industrie_entities_batch_1.csv"),
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@@ -210,7 +210,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
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},
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),
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datasets.SplitGenerator(
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-
name=datasets.Split.
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "zerspanung_entities_batch_1.csv"),
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@@ -218,7 +218,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
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},
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),
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datasets.SplitGenerator(
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-
name=datasets.Split.
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "entities_batch_2.csv"),
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data_dir = dl_manager.download_and_extract(urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "industrie_sents_batch_1.csv"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "zerspanung_sents_batch_1.csv"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "sents_batch_2.csv"),
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data_dir = dl_manager.download_and_extract(urls)
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return [
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datasets.SplitGenerator(
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+
name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "industrie_entities_batch_1.csv"),
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},
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),
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datasets.SplitGenerator(
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+
name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "zerspanung_entities_batch_1.csv"),
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},
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),
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datasets.SplitGenerator(
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+
name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "entities_batch_2.csv"),
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