Create README.md

README.md

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+---
+annotations_creators:
+- no-annotation
+language_creators:
+- crowdsourced
+language:
+- ko
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: laion2B-multi-korean-subset
+size_categories:
+- 10M<n<100M
+task_categories:
+- feature-extraction
+---
+# laion2B-multi-korean-subset
+
+## Dataset Description
+- **Homepage:** [laion-5b](https://laion.ai/blog/laion-5b/)
+- **Huggingface:** [laion/laion2B-multi](https://huggingface.co/datasets/laion/laion2B-multi)
+
+## About dataset
+Data organized by extracting only Korean data from [laion/laion2B-multi](https://huggingface.co/datasets/laion/laion2B-multi)
+
+### Lisence
+CC-BY-4.0
+## Data Structure
+
+### Data Instance
+
+```pycon
+>>> from datasets import load_dataset
+>>> dataset = load_dataset("Bingsu/laion2B-multi-korean-subset")
+>>> dataset
+DatasetDict({
+    train: Dataset({
+        features: ['SAMPLE_ID', 'URL', 'TEXT', 'HEIGHT', 'WIDTH', 'LICENSE', 'LANGUAGE', 'NSFW', 'similarity'],
+        num_rows: 11376263
+    })
+})
+```
+
+```pycon
+>>> dataset["train"].features
+{'SAMPLE_ID': Value(dtype='int64', id=None),
+ 'URL': Value(dtype='string', id=None),
+ 'TEXT': Value(dtype='string', id=None),
+ 'HEIGHT': Value(dtype='int32', id=None),
+ 'WIDTH': Value(dtype='int32', id=None),
+ 'LICENSE': Value(dtype='string', id=None),
+ 'LANGUAGE': Value(dtype='string', id=None),
+ 'NSFW': Value(dtype='string', id=None),
+ 'similarity': Value(dtype='float32', id=None)}
+```
+
+### Data Size
+
+download: 1.56 GiB<br>
+generated: 2.37 GiB<br>
+total: 3.93 GiB
+
+### Data Field
+
+- 'SAMPLE_ID': `int`
+- 'URL': `string`
+- 'TEXT': `string`
+- 'HEIGHT': `int`
+- 'WIDTH': `int`
+- 'LICENSE': `string`
+- 'LANGUAGE': `string`
+- 'NSFW': `string`
+- 'similarity': `float`
+
+### Data Splits
+
+|             |    train |
+| ----------- | -------- |
+| num of data | 11376263 |