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|
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""" |
|
### convert to parquet |
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|
|
```text |
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参考: |
|
https://huggingface.co/docs/datasets/main/en/cli#convert-to-parquet |
|
|
|
在本地命令行输入 `huggingface-cli login` 后输入 token 登录. |
|
$ huggingface-cli login |
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|
|
在本地命令行登录成功后执行: |
|
datasets-cli convert_to_parquet intelli-zen/demand --trust_remote_code |
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|
|
执行完成后, 它会自动在 qgyd2021/demand 的 community 开启一个 duscussion. |
|
You can find your PR to convert the dataset to Parquet at: https://huggingface.co/datasets/qgyd2021/demand/discussions/1 |
|
|
|
访问链接在下面找到 Merge, 点击将其合并. 之后, 很快 dataser viewer 就可以查看了. |
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|
|
``` |
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|
|
""" |
|
import argparse |
|
|
|
from datasets import load_dataset |
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|
|
from project_settings import project_path |
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|
|
|
|
def get_args(): |
|
parser = argparse.ArgumentParser() |
|
parser.add_argument( |
|
"--dataset_path", |
|
default="demand.py", |
|
|
|
type=str |
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) |
|
parser.add_argument("--dataset_name", default="kitchen_16k", type=str) |
|
parser.add_argument( |
|
"--dataset_cache_dir", |
|
default=(project_path / "hub_datasets").as_posix(), |
|
type=str |
|
) |
|
args = parser.parse_args() |
|
return args |
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|
|
|
|
def main(): |
|
args = get_args() |
|
|
|
dataset = load_dataset( |
|
path=args.dataset_path, |
|
name=args.dataset_name, |
|
cache_dir=args.dataset_cache_dir, |
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|
|
trust_remote_code=True, |
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) |
|
print(dataset.builder_configs) |
|
for sample in dataset["train"]: |
|
print(sample) |
|
print("-" * 150) |
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|
|
return |
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|
|
|
|
if __name__ == '__main__': |
|
main() |
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|
