data added

.gitattributes

@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+*.txt filter=lfs diff=lfs merge=lfs -text

gt.txt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e682c1f570c19ebdb3c633f4a28eca7617ce106a32be3a0b5420b6fa6b1d1c8
+size 18689037

img.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2302fbc1be40c23a8ef5d9d1484cdbec326da4bc13192267bc1e3ca4c0d867b1
+size 11622014267

stackmix_hkr.py

@@ -0,0 +1,50 @@
+import os
+import pandas as pd
+import zipfile
+
+import datasets
+from datasets import load_dataset
+
+
+class StackmixHKR(datasets.GeneratorBasedBuilder):
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features(
+                {
+                    "path": datasets.Value("string"),
+                    "name": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                    "image": datasets.Image()
+                }
+            )
+        )
+
+    def _split_generators(self, dl_manager):
+        _URLS = {"img": "img.zip", "labels": "gt.txt"}
+        data_paths = dl_manager.download_and_extract(_URLS)
+
+        return [datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "image_paths": dl_manager.iter_files(data_paths["img"]),
+                        "labels_path": data_paths["labels"]
+                    })]
+
+    def _generate_examples(self, image_paths, labels_path):
+        df = pd.read_csv(labels_path, sep=",", names=["path", "text"])
+        df["path"] = df.path.str[4:]
+        df.set_index("path", inplace=True)
+
+        for image_path in image_paths:
+            image_name = os.path.basename(image_path)
+ 
+            if image_name in df.index:
+
+                example = {
+                    "image": image_path,
+                    "path": image_path,
+                    "name": image_name,
+                    "text": df["text"][image_name]
+                }
+                yield image_name, example