Datasets:
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README.md
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### Data Instance
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```
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>>> from datasets import load_dataset
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>>> dataset = load_dataset("Bingsu/laion2B-multi-korean-subset")
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>>> dataset
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})
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```
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```
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>>> dataset["train"].features
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{'SAMPLE_ID': Value(dtype='int64', id=None),
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'URL': Value(dtype='string', id=None),
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![image](https://image.ajunews.com/content/image/2019/04/12/20190412175643597949.png)
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### Code used to generate
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```py
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### Data Instance
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```py
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>>> from datasets import load_dataset
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>>> dataset = load_dataset("Bingsu/laion2B-multi-korean-subset")
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>>> dataset
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})
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```
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```py
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>>> dataset["train"].features
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{'SAMPLE_ID': Value(dtype='int64', id=None),
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'URL': Value(dtype='string', id=None),
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![image](https://image.ajunews.com/content/image/2019/04/12/20190412175643597949.png)
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### csv 다운로드, pandas
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```py
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# pip install zstandard
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import pandas as pd
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from huggingface_hub import hf_hub_url
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url = hf_hub_url("Bingsu/laion2B-multi-korean-subset", filename="laion2B-multi-korean-subset.csv.zst", repo_type="dataset")
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# url = "https://huggingface.co/datasets/Bingsu/laion2B-multi-korean-subset/resolve/main/laion2B-multi-korean-subset.csv.zst"
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df = pd.read_csv(url)
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```
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<https://huggingface.co/datasets/Bingsu/laion2B-multi-korean-subset/resolve/main/laion2B-multi-korean-subset.csv.zst>
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778 MB
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### Code used to generate
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```py
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