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[Fix]: Ignore Unicode encoding errors when reading metadata.csv #289

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[Fix]: Ignore Unicode encoding errors when reading metadata.csv #289

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7d8cafc
[fix]: ignore Unicode encoding errors when reading metadata.csv
kimx3966 Jul 1, 2025
353c6f8
[fix]: ignore encoding error in writing csv file
kimx3966 Jul 3, 2025
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8 changes: 6 additions & 2 deletions dataset_toolkits/download.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,10 @@
# get file list
if not os.path.exists(os.path.join(opt.output_dir, 'metadata.csv')):
raise ValueError('metadata.csv not found')
metadata = pd.read_csv(os.path.join(opt.output_dir, 'metadata.csv'))

with open(os.path.join(opt.output_dir, 'metadata.csv'), 'r', encoding='utf-8', errors='ignore') as f:
metadata = pd.read_csv(f)

if opt.instances is None:
if opt.filter_low_aesthetic_score is not None:
metadata = metadata[metadata['aesthetic_score'] >= opt.filter_low_aesthetic_score]
Expand All @@ -49,4 +52,5 @@

# process objects
downloaded = dataset_utils.download(metadata, **opt)
downloaded.to_csv(os.path.join(opt.output_dir, f'downloaded_{opt.rank}.csv'), index=False)
with open(os.path.join(opt.output_dir, f'downloaded_{opt.rank}.csv'), 'w', encoding='utf-8', errors='ignore') as f:
downloaded.to_csv(f, index=False)