Update Action-Effect.py

Action-Effect.py

@@ -1,6 +1,10 @@
 import json
 from zipfile import ZipFile
 import datasets
+import os
+from PIL import Image
+from numpy import asarray
+import tarfile
 
 _CITATION = """\
 @inproceedings{gao-etal-2018-action,
@@ -26,6 +30,9 @@ Despite recent advances in knowledge representation, automated reasoning, and ma
 
 _URL = "https://huggingface.co/datasets/sled-umich/Action-Effect"
 
+JSON_URL = "http://162.212.153.129/action_effect_info.json"
+
+IMGS_URL = "action_effect_image_rs.tar.gz"
 
 class Action_Effect(datasets.GeneratorBasedBuilder):
     """
@@ -42,6 +49,8 @@ class Action_Effect(datasets.GeneratorBasedBuilder):
                     "verb noun": datasets.Value("string"),
                     "effect_sentence_list": datasets.features.Sequence(datasets.Value("string")),
                     "effect_phrase_list": datasets.features.Sequence(datasets.features.Sequence(datasets.Value("string"))),
+                    "positvie_image_list": datasets.features.Sequence(datasets.Image()),
+                    "negative_image_list": datasets.features.Sequence(datasets.Image()),
                 }
             ),
             homepage=_URL,
@@ -49,18 +58,38 @@ class Action_Effect(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager):
+        dl_dir = dl_manager.download_and_extract(JSON_URL)
+        action_effect_info_path =  dl_dir + "/action_effect_info.json"
+        img_zip_path = dl_dir + "/action_effect_image_rs.tar.gz"
         return [
             datasets.SplitGenerator(
-                name="ActionEffect",
+                name= "ActionEffect",
                 gen_kwargs={
-                    "action_effect_info_path": self._relative_data_dir() + "/action_effect_info.json",
+                    "action_effect_info_path": action_effect_info_path, "img_zip_path": img_zip_path
                 },
             )
         ]
 
-    def _generate_examples(self, action_effect_info_path):
+    def _generate_examples(self, action_effect_info_path, img_zip_path):
         with open(action_effect_info_path) as f:
             action_effect_info = json.load(f)
+        img_zip = tarfile.open(img_zip_path)
+        img_zip.extractall("./action_effect_image_rs")
+        img_root = "./action_effect_image_rs/"
+        img_zip.close()
         for idx, this_ae_info in enumerate(action_effect_info):
+            this_ae_info['positive_image_list'] = []
+            this_ae_info['negative_image_list'] = []
+            vn = this_ae_info["verb noun"]
+            this_image_root_positive = img_root + vn.replace(" ", "+") + "/positive/"
+            this_image_root_negative = img_root + vn.replace(" ", "+") + "/positive/"
+            for img_name in os.listdir(this_image_root_positive):
+                img_pil = Image.open(this_image_root_positive + img_name)
+                img_np = asarray(img_pil)
+                this_image_root_positive.append(img_np)
+            for img_name in os.listdir(this_image_root_negative):
+                img_pil = Image.open(this_image_root_negative + img_name)
+                img_np = asarray(img_pil)
+                this_image_root_negative.append(img_np)
             yield idx, this_ae_info