Update xd-violence-small.py

xd-violence-small.py

@@ -0,0 +1,70 @@
+import os
+import datasets
+import numpy as np
+
+class YourDataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="i3d_rgb",
+            version=VERSION,
+            description="i3d RGB dataset",
+            features=datasets.Features({"video": datasets.Sequence(datasets.Value("float32"))}),
+        ),
+        datasets.BuilderConfig(
+            name="i3d_flow",
+            version=VERSION,
+            description="i3d Flow dataset",
+            features=datasets.Features({"video": datasets.Sequence(datasets.Value("float32"))}),
+        ),
+        datasets.BuilderConfig(
+            name="vggish_train",
+            version=VERSION,
+            description="VGGish Train dataset",
+            features=datasets.Features({"audio": datasets.Sequence(datasets.Value("float32"))}),
+        ),
+        datasets.BuilderConfig(
+            name="vggish_test",
+            version=VERSION,
+            description="VGGish Test dataset",
+            features=datasets.Features({"audio": datasets.Sequence(datasets.Value("float32"))}),
+        ),
+    ]
+
+    def _info(self):
+        features = self.config.features
+        return datasets.DatasetInfo(
+            features=features,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = "Alkemi/xd-violence-small"
+
+        splits = []
+        for config in self.configs:
+            if config.name.startswith("i3d-features"):
+                split_name = config.name.split("_")[1]
+                splits.append(
+                    datasets.SplitGenerator(name=split_name, gen_kwargs={"data_dir": os.path.join(data_dir, "i3d-features", split_name)})
+                )
+            elif config.name.startswith("vggish-features"):
+                split_name = config.name.split("_")[1]
+                splits.append(
+                    datasets.SplitGenerator(name=split_name, gen_kwargs={"data_dir": os.path.join(data_dir, "vggish-features", split_name)})
+                )
+
+        return splits
+
+    def _generate_examples(self, data_dir):
+        filepaths = []
+
+        for root, dirs, files in os.walk(data_dir):
+            for file in files:
+                if file.endswith(".npy"):
+                    filepaths.append(os.path.join(root, file))
+
+        for i, filepath in enumerate(filepaths):
+            data = np.load(filepath)
+
+            yield i, {"video": data}  # or {"audio": data} depending on the configuration