38 lines
1.5 KiB
Python
38 lines
1.5 KiB
Python
import inout as io
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def generateChooChoo(data, target, categories):
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data = [x[2].replace('\n', '').replace(':', '') for x in io.read(data)]
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target = [x[0].replace('\n', '') for x in io.read(target)]
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if categories == {}:
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i = 0
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for x in target:
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if x not in categories:
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categories[x] = i
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i += 1
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return {'data': data, 'target': target}, categories
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def predictFuture(test):
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data = [x[2].replace('\n', '').replace(':', '') for x in io.read(test + '/in.tsv')]
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with open('vw_ireland_news_' + test, 'w', encoding='utf-8') as f:
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for text in data:
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f.write('1 |text ' + text + '\n')
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if __name__ == '__main__':
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ireland_news_train, categories = generateChooChoo('train/in.tsv.xz', 'train/expected.tsv.xz', categories={})
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ireland_news_dev, _ = generateChooChoo('dev-0/in.tsv', 'dev-0/expected.tsv', categories)
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with open('vw_ireland_news_train', 'w', encoding='utf-8') as f:
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for target, text in zip(ireland_news_train['target'], ireland_news_train['data']):
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f.write(str(categories[target] + 1) + ' |text ' + text + '\n')
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with open('vw_ireland_news_dev0', 'w', encoding='utf-8') as f, open('ireland_news_dev0_targets', 'w', encoding='utf-8') as f_targets:
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for target, text in zip(ireland_news_dev['target'], ireland_news_dev['data']):
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f.write('1 |text ' + text + '\n')
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f_targets.write(str(categories[target] + 1) + '\n')
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predictFuture('test-A')
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predictFuture('test-B')
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