Datasets:
Size:
10K<n<100K
License:
test
Browse files- tomatotest.py +4 -4
tomatotest.py
CHANGED
@@ -60,26 +60,26 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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SplitGenerator(
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name=Split.TRAIN,
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gen_kwargs={
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-
"archives": [dl_manager.iter_archive(archive) for archive in archives],
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"split_txt": split_metadata["train"]
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},
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),
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SplitGenerator(
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name=Split.VALIDATION,
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gen_kwargs={
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-
"archives": [dl_manager.iter_archive(archive) for archive in archives],
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"split_txt": split_metadata["val"]
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},
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),
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]
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def _generate_examples(self, archives, split_txt):
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-
print(split_txt, archives)
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with open(split_txt, encoding="utf-8") as split_f:
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all_splits = split_f.read().split('\n')
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print(len(all_splits))
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for archive in archives:
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-
print(archive)
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for path, file in archive:
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print(path, all_splits[0])
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if path not in all_splits:
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SplitGenerator(
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name=Split.TRAIN,
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gen_kwargs={
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+
"archives": [dl_manager.iter_archive(archive) for archive in archives["train"]],
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"split_txt": split_metadata["train"]
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},
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),
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SplitGenerator(
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name=Split.VALIDATION,
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gen_kwargs={
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+
"archives": [dl_manager.iter_archive(archive) for archive in archives["val"]],
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"split_txt": split_metadata["val"]
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},
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),
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]
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def _generate_examples(self, archives, split_txt):
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+
#print(split_txt, archives)
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with open(split_txt, encoding="utf-8") as split_f:
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all_splits = split_f.read().split('\n')
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print(len(all_splits))
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for archive in archives:
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+
#print(archive)
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for path, file in archive:
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print(path, all_splits[0])
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if path not in all_splits:
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