Created
July 9, 2020 05:16
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import json | |
augmented_manifest_filename_output = local_manifest_dir + '/output.manifest' | |
with jsonlines.open(augmented_manifest_filename_output, 'r') as reader: | |
lines = list(reader) | |
# Shuffle data in place. | |
np.random.shuffle(lines) | |
dataset_size = len(lines) | |
num_training_samples = round(dataset_size*0.9) | |
train_data = lines[:num_training_samples] | |
validation_data = lines[num_training_samples:] | |
augmented_manifest_filename_train = local_manifest_dir + '/train.manifest' | |
with open(augmented_manifest_filename_train, 'w') as f: | |
for line in train_data: | |
f.write(json.dumps(line)) | |
f.write('\n') | |
augmented_manifest_filename_validation = local_manifest_dir + '/validation.manifest' | |
with open(augmented_manifest_filename_validation, 'w') as f: | |
for line in validation_data: | |
f.write(json.dumps(line)) | |
f.write('\n') | |
print(f'training samples: {num_training_samples}, validation samples: {len(lines)-num_training_samples}')` |
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