Update README.md

README.md

@@ -75,30 +75,29 @@ img2dataset을 통해 다운로드에 성공한 [Bingsu/laion2B-multi-korean-sub
 
 ```python
 import io
+import webdataset as wds
 from PIL import Image
-from torch.utils.data import IterableDataset
-
-class MyDataset(IterableDataset):
-    def __init__(self, dataset):
-        self.dataset = dataset
-
-    def __iter__(self):
-        for img, meta in self.dataset:
-            data = {
-                "image": Image.open(io.BytesIO(img)),
-                "text": meta["caption"],
-                "width": meta["width"],
-                "height": meta["height"],
-            }
-            yield data
+
+def preprocess(data):
+    webp, jsn = data
+    img = Image.open(io.BytesIO(webp))
+    out = {
+        "image": img,
+        "text": jsn["caption"],
+        "width": jsn["width"],
+        "height": jsn["height"]
+    }
+    return out
+
+url = "https://huggingface.co/datasets/Bingsu/laion2b_multi_korean_subset_with_image/resolve/main/data/{00000..02122}.tar"
+dataset = wds.WebDataset(url).shuffle(1000).decode("pil").to_tuple("webp", "json").map(preprocess)
 ```
 
 ```python
->>> my_dataset = MyDataset(dataset)
->>> next(iter(my_dataset))
-{'image': <PIL.WebPImagePlugin.WebPImageFile image mode=RGB size=455x256>,
- 'text': '마운트존 광유계진공펌프오일 hiren77p 피스톤 타입…',
- 'width': 455,
+>>> next(iter(dataset))
+{'image': <PIL.WebPImagePlugin.WebPImageFile image mode=RGB size=427x256>,
+ 'text': '[따블리에]유아동 미술가운, 미술 전신복',
+ 'width': 427,
  'height': 256}
 ```