Update README.md

README.md

@@ -1,3 +1,108 @@
 ---
-license: cc-by-4.0
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+language:
+- ko
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: laion-translated-to-en-korean-subset
+size_categories:
+- 10M<n<100M
+task_categories:
+- feature-extraction
 ---
+
+# laion-translated-to-en-korean-subset
+
+## Dataset Description
+- **Homepage:** [laion-5b](https://laion.ai/blog/laion-5b/)
+- **Huggingface:** [laion/laion2B-multi](https://huggingface.co/datasets/laion/laion2B-multi)
+- **Download Size** 1.40 GiB
+- **Generated Size** 3.49 GiB
+- **Total Size** 4.89 GiB
+
+## About dataset
+a subset data of [laion/laion2B-multi-joined-translated-to-en](https://huggingface.co/datasets/laion/laion2B-multi-joined-translated-to-en) and [laion/laion1B-nolang-joined-translated-to-en](https://huggingface.co/datasets/laion/laion1B-nolang-joined-translated-to-en), including only korean
+
+### Lisence
+CC-BY-4.0
+
+## Data Structure
+
+### Data Instance
+
+```py
+>>> from datasets import load_dataset
+>>> dataset = load_dataset("Bingsu/laion-translated-to-en-korean-subset")
+>>> dataset
+DatasetDict({
+    train: Dataset({
+        features: ['hash', 'URL', 'TEXT', 'ENG TEXT', 'WIDTH', 'HEIGHT', 'LANGUAGE', 'similarity', 'pwatermark', 'punsafe', 'AESTHETIC_SCORE'],
+        num_rows: 12769693
+    })
+})
+```
+
+```py
+>>> dataset["train"].features
+{'hash': Value(dtype='int64', id=None),
+ 'URL': Value(dtype='large_string', id=None),
+ 'TEXT': Value(dtype='large_string', id=None),
+ 'ENG TEXT': Value(dtype='large_string', id=None),
+ 'WIDTH': Value(dtype='int32', id=None),
+ 'HEIGHT': Value(dtype='int32', id=None),
+ 'LANGUAGE': Value(dtype='large_string', id=None),
+ 'similarity': Value(dtype='float32', id=None),
+ 'pwatermark': Value(dtype='float32', id=None),
+ 'punsafe': Value(dtype='float32', id=None),
+ 'AESTHETIC_SCORE': Value(dtype='float32', id=None)}
+```
+
+### Data Size
+
+download: 1.40 GiB<br>
+generated: 3.49 GiB<br>
+total: 4.89 GiB
+
+### Data Field
+
+- 'hash': `int`
+- 'URL': `string`
+- 'TEXT': `string`
+- 'ENG TEXT': `string`, null data are dropped
+- 'WIDTH': `int`, null data is filled with 0
+- 'HEIGHT': `int`, null data is filled with 0
+- 'LICENSE': `string`
+- 'LANGUAGE': `string`
+- 'similarity': `float32`, CLIP similarity score, null data are filled with 0.0
+- 'pwatermark': `float32`, Probability of containing a watermark, null data are filled with 0.0
+- 'punsafe': `float32`, Probability of nsfw image, null data are filled with 0.0
+- 'AESTHETIC_SCORE': `float32`, null data are filled with 0.0
+
+### Data Splits
+
+|           |    train |
+| --------- | -------- |
+| # of data | 12769693 |
+
+
+### polars
+
+```sh
+pip install polars[fsspec]
+```
+
+```py
+import polars as pl
+from huggingface_hub import hf_hub_url
+
+url = hf_hub_url("Bingsu/laion-translated-to-en-korean-subset", filename="train.parquet", repo_type="dataset")
+# url = "https://huggingface.co/datasets/Bingsu/laion-translated-to-en-korean-subset/resolve/main/train.parquet"
+df = pl.read_parquet(url)
+```
+
+pandas broke my colab session.