Update README.md

README.md

@@ -60,4 +60,39 @@ The metadata is made available through a series of parquet files with the follow
 - `mime_type`: The MIME type of the image file.
 - `hash`: The MD5 hash of the image file.
 - `license`: The URL of the image license.
-- `source` : The source organization of the image.
+- `source` : The source organization of the image.
+
+## Download Images: 
+```python
+from concurrent.futures import ThreadPoolExecutor
+from functools import partial
+import io
+import urllib
+import PIL.Image
+from datasets import load_dataset
+from datasets.utils.file_utils import get_datasets_user_agent
+USER_AGENT = get_datasets_user_agent()
+def fetch_single_image(image_url, timeout=None, retries=0):
+    for _ in range(retries + 1):
+        try:
+            request = urllib.request.Request(
+                image_url,
+                data=None,
+                headers={"user-agent": USER_AGENT},
+            )
+            with urllib.request.urlopen(request, timeout=timeout) as req:
+                image = PIL.Image.open(io.BytesIO(req.read()))
+            break
+        except Exception:
+            image = None
+    return image
+def fetch_images(batch, num_threads, timeout=None, retries=0):
+    fetch_single_image_with_args = partial(fetch_single_image, timeout=timeout, retries=retries)
+    with ThreadPoolExecutor(max_workers=num_threads) as executor:
+        batch["image"] = list(executor.map(fetch_single_image_with_args, batch["url"]))
+    return batch
+
+
+num_threads = 20
+dataset = dataset.map(fetch_images, batched=True, batch_size=100, fn_kwargs={"num_threads": num_threads})
+```