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Original file line number | Diff line number | Diff line change |
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# Celebs with Korean origins | ||
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Source: <https://huggingface.co/datasets/ashraq/tmdb-celeb-10k/> | ||
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Extraction script: | ||
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```python | ||
import pandas as pd | ||
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data = pd.read_parquet("celebs.parquet") | ||
# Find all rows where 'biography' or 'place_of_birth' contains 'korea' - case insensitive | ||
korea_data = data[data['biography'].str.contains('korea', case=False, na=False) | data['place_of_birth'].str.contains('korea', case=False, na=False)] | ||
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# For the first 100 rows by .popularity, save .image["bytes"] to the .name + ".jpg" | ||
for index, row in korea_data.sort_values(by='popularity', ascending=False)[:100].iterrows(): | ||
with open(row['name'] + ".jpg", "wb") as f: | ||
f.write(row['image']['bytes']) | ||
``` | ||
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After this, we manually deleted a few non-Korean celebrities like "Steve Buscemi", "James Earl Jones", "Wesley Snipes", and a name in Korean. |
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