Create deepaction_v1.py

deepaction_v1.py

@@ -0,0 +1,62 @@
+import os
+import datasets
+
+_CITATION = """\
+@inproceedings{tbd,
+  title={tbd},
+  author={tbd},
+  year={2024},
+  url={https://huggingface.co/datasets/faridlab/deepaction_v1}
+}
+"""
+
+_DESCRIPTION = """\
+TBD
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/faridlab/deepaction_v1"
+
+_LICENSE = "TBD"
+
+class DeepActionV1(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                "video": datasets.Video(),
+                "label": datasets.ClassLabel(names=["VideoPoet", "BDAnimateDiffLightning", "CogVideoX5B", "Pexels", "RunwayML", "StableDiffusion", "Veo"]),  # Add all category names
+            }),
+            supervised_keys=("video", "label"),
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        url = "https://huggingface.co/datasets/faridlab/deepaction_v1/resolve/main/data.zip"
+        data_dir = dl_manager.download_and_extract(url)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"data_dir": data_dir},
+            ),
+        ]
+
+    def _generate_examples(self, data_dir):
+        label_names = os.listdir(data_dir)
+        for label in label_names:
+            label_dir = os.path.join(data_dir, label)
+            if os.path.isdir(label_dir):
+                for subfolder in os.listdir(label_dir):
+                    subfolder_path = os.path.join(label_dir, subfolder)
+                    if os.path.isdir(subfolder_path):
+                        for video_file in os.listdir(subfolder_path):
+                            if video_file.endswith(".mp4"):
+                                video_path = os.path.join(subfolder_path, video_file)
+                                yield video_path, {
+                                    "video": video_path,
+                                    "label": label,
+                                }