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...hon/foundation-models/system/finetune/Llama-notebooks/text-generation/download-dataset.py
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# import library to parse command line arguments | ||
import argparse, os | ||
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parser = argparse.ArgumentParser() | ||
# add an argument to specify a dataset name to download | ||
parser.add_argument("--dataset", type=str, default="samsum", help="dataset name") | ||
# add an argument to specify a dataset name to download | ||
parser.add_argument( | ||
"--dataset_subset", type=str, default="split", help="dataset subset name" | ||
) | ||
# add an argument to specify the directory to download the dataset to | ||
parser.add_argument( | ||
"--download_dir", | ||
type=str, | ||
default="data", | ||
help="directory to download the dataset to", | ||
) | ||
args = parser.parse_args() | ||
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# create the download directory if it does not exist | ||
if not os.path.exists(args.download_dir): | ||
os.makedirs(args.download_dir) | ||
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# import hugging face datasets library | ||
from datasets import load_dataset, get_dataset_split_names | ||
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for split in get_dataset_split_names(args.dataset): | ||
# load the split of the dataset | ||
dataset = load_dataset(args.dataset, split=split) | ||
# save the split of the dataset to the download directory as json lines file | ||
dataset.to_json(os.path.join(args.download_dir, f"{split}.jsonl")) | ||
# print dataset features |
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...dation-models/system/finetune/Llama-notebooks/text-generation/text-generation-config.json
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{} |
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