11 lines
355 B
Python
11 lines
355 B
Python
import pandas as pd
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r_out = pd.read_csv('../train/expected.tsv', names = ('class',))
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most_common = r_out['class'].value_counts().idxmax()
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for dataset in 'dev-0', 'test-A', 'test-B':
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with open(f'../{dataset}/out.tsv', 'w') as f_out, open(f'../{dataset}/in.tsv', 'r') as f_in:
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for line_in in f_in:
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f_out.write(most_common + '\n')
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