Create test6.py

test6.py

@@ -0,0 +1,85 @@
+import datasets
+import json
+import numpy
+import tarfile
+import io
+
+_FEATURES = datasets.Features(
+    {
+        "id": datasets.Value("string"),
+        "prompt": datasets.Array3D(shape=(1, 77, 768), dtype="float32"),
+        "video": datasets.Sequence(feature=datasets.Array3D(shape=(4, 64, 64), dtype="float32")),
+        "description": datasets.Value("string"),
+        "videourl": datasets.Value("string"),
+        "categories": datasets.Value("string"),
+        "duration": datasets.Value("float"),
+        "full_metadata": datasets.Value("string"),
+    }
+)
+
+class FunkLoaderStream(datasets.GeneratorBasedBuilder):
+    """TempoFunk Dataset"""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="TempoFunk Dataset",
+            features=_FEATURES,
+            homepage="None",
+            citation="None",
+            license="None"
+        )
+
+    def _split_generators(self, dl_manager):
+        # Load the chunk list.
+        _CHUNK_LIST = json.loads(open(dl_manager.download("lists/chunk_list.json"), 'r').read())
+
+        # Create a list to hold the downloaded chunks.
+        _list = []
+
+        # Download each chunk file.
+        for chunk in _CHUNK_LIST:
+           _list.append(dl_manager.download(f"data/{chunk}.tar"))
+
+        # Return the list of downloaded chunks.
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "chunks": _list,
+                },
+            ),
+        ]
+    
+    def _generate_examples(self, chunks):
+        """Generate images and labels for splits."""
+        for chunk in chunks:
+            tar_data = open(chunk, 'rb')
+            tar_bytes = tar_data.read()
+            tar_bytes_io = io.BytesIO(tar_bytes)
+
+            response_dict = {}
+
+            with tarfile.open(fileobj=tar_bytes_io, mode='r') as tar:
+                for file_info in tar:
+                    if file_info.isfile():
+                        file_name = file_info.name
+                        #filename format is typ_id.ext
+                        file_type = file_name.split('_')[0]
+                        file_id = file_name.split('_')[1].split('.')[0]
+                        file_ext = file_name.split('_')[1].split('.')[1]
+                        file_contents = tar.extractfile(file_info).read()
+
+                        # vis = video std; vim = video mean
+                        if file_type == 'txt' or file_type == 'vis' or file_type == 'vim':
+                            response_dict[file_id][file_type] = numpy.load(file_contents)
+                        elif file_type == 'jso':
+                            response_dict[file_id][file_type] = json.loads(file_contents)
+            
+            for key, value in response_dict.items():
+                yield key, {
+                    "id": key,
+                    "metadata": value['jso'],
+                    "prompt": value['txt'],
+                    "vidmean": value['vim'],
+                    "vidstd": value['vis'],
+                }