Upload 2 files

cn_data.py

@@ -12,9 +12,9 @@ _CITATION = "TODO"
 
 _FEATURES = datasets.Features(
     {
-        "target": datasets.Image(),
-        "source": datasets.Image(),
-        "caption": datasets.Value("string"),
+        "image": datasets.Image(),
+        "conditioning_image": datasets.Image(),
+        "text": datasets.Value("string"),
     },
 )
 
@@ -76,17 +76,19 @@ class Fill50k(datasets.GeneratorBasedBuilder):
         metadata = pd.read_json(metadata_path, lines=True)
 
         for _, row in metadata.iterrows():
-            text = row["caption"]
+            text = row["text"]
 
-            image_path = row["target"]
-            # image_path = os.path.join(images_dir, image_path)
+            image_path = row["image"]
+            image_path = os.path.join(images_dir, image_path)
             image = open(image_path, "rb").read()
 
-            conditioning_image_path = row["source"]
-            # conditioning_image_path = os.path.join(conditioning_images_dir, row["source"])
+            conditioning_image_path = row["conditioning_image"]
+            conditioning_image_path = os.path.join(
+                conditioning_images_dir, row["conditioning_image"]
+            )
             conditioning_image = open(conditioning_image_path, "rb").read()
 
-            yield row["target"], {
+            yield row["image"], {
                 "text": text,
                 "image": {
                     "path": image_path,
@@ -96,4 +98,5 @@ class Fill50k(datasets.GeneratorBasedBuilder):
                     "path": conditioning_image_path,
                     "bytes": conditioning_image,
                 },
-            }
+            }
+

train.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d2db67e9261d7ea5eec2095ea24484f6e0111519dc176fa9e20145df98ce4f27
-size 23143858
+oid sha256:8865f302c3ea99627c6858501df146c7180e7e34edec2ca982e64941346206d5
+size 23796042