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import pandas as pd |
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import numpy as np |
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langs = ['Hindi', 'Punjabi', 'Assamese', 'Bengali', 'Gujarati', 'Kannada', 'Marathi', 'Tamil', 'Malayalam', 'Odia', 'Telugu', 'Bodo', 'Urdu'] |
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codes = ['hi', 'pa', 'as', 'bn', 'gu', 'kn', 'mr', 'ta', 'ml', 'or', 'te', 'bd', 'ur'] |
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metadata = pd.read_csv('metadata.tsv', sep='\t') |
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idx = np.random.permutation(metadata.index) |
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for lang in codes: |
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with open(f"{lang}.txt", "r") as f: |
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lines = f.readlines() |
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lines = [line.strip() for line in lines] |
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metadata = pd.read_csv('metadata.tsv', sep='\t') |
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metadata.columns = ['GENERIC CATEGORIES', 'CATEGORY', 'SUB-CATEGORY', 'PRODUCT', 'BRAND', 'ASPECTS', 'ASPECT COMBO', 'ENGLISH REVIEW', 'LABEL'] |
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metadata['INDIC REVIEW'] = lines |
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metadata = metadata.reindex(idx) |
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metadata[:1000].to_json(f"test/{lang}.json", orient='records', lines=True) |
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metadata[1000:].to_json(f"dev/{lang}.json", orient='records', lines=True) |
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