update dataset files
Browse files- NASA_OSDR.py +5 -13
- data/train/experiments.json +0 -3
- data/train/samples.json +0 -3
- tests/test_nasa_osdr.py +2 -2
NASA_OSDR.py
CHANGED
@@ -529,7 +529,7 @@ class NasaOsdr(datasets.GeneratorBasedBuilder):
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downloaded_files = dl_manager.download_and_extract(
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{
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"train": {
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"file": os.path.join(self.config.data_url, 'train/samples.
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},
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}
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)
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@@ -544,15 +544,7 @@ class NasaOsdr(datasets.GeneratorBasedBuilder):
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]
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def _generate_examples(self, file: str):
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# _item = {**row.to_dict()}
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# yield idx, _ite
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import json
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with open(file, 'r') as file:
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for idx, line in enumerate(file):
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line_data = json.loads(line)
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yield idx, line_data
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downloaded_files = dl_manager.download_and_extract(
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{
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"train": {
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"file": os.path.join(self.config.data_url, 'train/samples.csv'),
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},
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}
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)
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]
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def _generate_examples(self, file: str):
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df = pd.read_csv(file, index_col=0, low_memory=False)
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for idx, row in df.iterrows():
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_item = {**row.to_dict()}
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yield idx, _item
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data/train/experiments.json
DELETED
@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:586a3964123e2be44e80c272b9525b37b2bc2ad55a55fd3f75298b962e9cc6a4
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size 281085
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data/train/samples.json
DELETED
@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9ed0ecf965eb91a9f475b8190896b558a6d17079dad467fc1ba1ed23e5c19b7
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size 868940262
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tests/test_nasa_osdr.py
CHANGED
@@ -33,12 +33,12 @@ def test_inherit_generator_base_builder_works():
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def test_generate_examples():
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dataset = NasaOsdr(name='experiments')
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train_data = dataset._generate_examples(file='data/train/experiments.
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idx, sample = next(iter(train_data))
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print(idx, sample.keys())
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dataset = NasaOsdr(name='samples')
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train_data = dataset._generate_examples(file='data/train/samples.
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idx, sample = next(iter(train_data))
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print(idx, sample.keys())
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def test_generate_examples():
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dataset = NasaOsdr(name='experiments')
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train_data = dataset._generate_examples(file='data/train/experiments.csv')
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idx, sample = next(iter(train_data))
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print(idx, sample.keys())
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dataset = NasaOsdr(name='samples')
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train_data = dataset._generate_examples(file='data/train/samples.csv')
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idx, sample = next(iter(train_data))
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print(idx, sample.keys())
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