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Download src/raw_data_builder.py from hoom4n/TransformerTorch: direct link, hf CLI and curl.
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https://huggingface.co/spaces/hoom4n/TransformerTorch/resolve/main/src/raw_data_builder.py
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curl -L -o raw_data_builder.py https://huggingface.co/spaces/hoom4n/TransformerTorch/resolve/main/src/raw_data_builder.py
502 Bytes
| from datasets import load_dataset | |
| import pandas as pd | |
| def prepare_dataset(): | |
| dataset = load_dataset("ageron/tatoeba_mt_train", "eng-spa") | |
| df = pd.concat([ | |
| dataset["validation"].to_pandas(), dataset["test"].to_pandas() | |
| ], axis=0)\ | |
| .sample(frac=1, random_state=42)\ | |
| .reset_index(drop=True) | |
| df[["source_text", "target_text"]].to_parquet("eng_spa.parquet") | |
| print("Data saved to eng_spa.parquet") | |
| if __name__ == "__main__": | |
| prepare_dataset() |