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import pandas as pd |
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import os |
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from typing import Union |
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import datasets |
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def save_and_compress(dataset: Union[datasets.Dataset, pd.DataFrame], name: str, idx=None): |
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if idx: |
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path = f"{name}_{idx}.jsonl" |
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else: |
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path = f"{name}.jsonl" |
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print("Saving to", path) |
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dataset.to_json(path, force_ascii=False, orient='records', lines=True) |
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print("Compressing...") |
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os.system(f'xz -zkf -T0 {path}') |
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dfs = [] |
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for num_classes in [3, 6, 9]: |
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df = pd.read_csv(f"datasets/mietrecht_sentences_{num_classes}_classes.csv", sep=";") |
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df = df[['Funktion', 'Text']] |
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df.rename(columns={'Funktion': f'label_{num_classes}_classes', 'Text': f'text_{num_classes}_classes'}, inplace=True) |
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dfs.append(df) |
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train = pd.concat(dfs, axis=1) |
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save_and_compress(train, f"data/train") |
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