updated loader.
Browse files- xscitldr_staging.py +6 -4
xscitldr_staging.py
CHANGED
@@ -115,13 +115,15 @@ class XSciTLDRStaging(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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-
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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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-
"filedir":
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"split": "train",
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},
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),
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@@ -129,7 +131,7 @@ class XSciTLDRStaging(datasets.GeneratorBasedBuilder):
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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-
"filedir":
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"split": "test"
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},
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),
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@@ -137,7 +139,7 @@ class XSciTLDRStaging(datasets.GeneratorBasedBuilder):
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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-
"filedir":
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"split": "dev",
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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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+
data_path_train = dl_manager.download_and_extract(os.path.join(urls, "train.jsonl"))
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+
data_path_test = dl_manager.download_and_extract(os.path.join(urls, "test.jsonl"))
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+
data_path_dev = dl_manager.download_and_extract(os.path.join(urls, "dev.jsonl"))
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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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+
"filedir": data_path_train,
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"split": "train",
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},
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),
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filedir": data_path_test,
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"split": "test"
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},
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),
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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+
"filedir": data_path_dev,
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"split": "dev",
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},
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),
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