Update LILA.py

LILA.py

@@ -53,31 +53,30 @@ _LICENSE = ""
 _LILA_SAS_URLS = pd.read_csv("https://lila.science/wp-content/uploads/2020/03/lila_sas_urls.txt")
 _LILA_SAS_URLS.rename(columns={"# name": "name"}, inplace=True)
 
+_METADATA_BASE_URL = "https://huggingface.co/datasets/NimaBoscarino/LILA/resolve/main/data/"
+
 # How do I make these point to the particular commit ID?
 _LILA_URLS = {
-    "Caltech Camera Traps": "https://huggingface.co/datasets/NimaBoscarino/LILA/resolve/main/data/Caltech_Camera_Traps.jsonl",
-    "ENA24": "https://huggingface.co/datasets/NimaBoscarino/LILA/resolve/main/data/ENA24.jsonl",
-    "Missouri Camera Traps": "",
-    "NACTI": "",
-    "WCS Camera Traps": "",
-    "Wellington Camera Traps": "",
-    "Island Conservation Camera Traps": "",
-    "Channel Islands Camera Traps": "",
-    "Idaho Camera Traps": "",
-    "Snapshot Serengeti": "",
-    "Snapshot Karoo": "",
-    "Snapshot Kgalagadi": "",
-    "Snapshot Enonkishu": "",
-    "Snapshot Camdeboo": "",
-    "Snapshot Mountain Zebra": "",
-    "Snapshot Kruger": "",
-    "SWG Camera Traps": "",
-    "Orinoquia Camera Traps": "",
+    "Caltech Camera Traps": "Caltech_Camera_Traps.jsonl",
+    "ENA24": "ENA24.jsonl",
+    "Missouri Camera Traps": "Missouri_Camera_Traps.jsonl",
+    "NACTI": "NACTI.jsonl.zip",
+    "WCS Camera Traps": "WCS_Camera_Traps.jsonl.zip",
+    "Wellington Camera Traps": "Wellington_Camera_Traps.jsonl.zip",
+    "Island Conservation Camera Traps": "Island_Conservation_Camera_Traps.jsonl.zip",
+    "Channel Islands Camera Traps": "Channel_Islands_Camera_Traps.jsonl.zip",
+    "Idaho Camera Traps": "Idaho_Camera_Traps.jsonl.zip",
+    "Snapshot Serengeti": "Snapshot_Serengeti.jsonl.zip",
+    "Snapshot Karoo": "Snapshot_Karoo.jsonl.zip",
+    "Snapshot Kgalagadi": "Snapshot_Kgalagadi.jsonl",
+    "Snapshot Enonkishu": "Snapshot_Enonkishu.jsonl.zip",
+    "Snapshot Camdeboo": "Snapshot_Camdeboo.jsonl.zip",
+    "Snapshot Mountain Zebra": "Snapshot_Mountain_Zebra.jsonl.zip",
+    "Snapshot Kruger": "Snapshot_Kruger.jsonl",
+    "SWG Camera Traps": "SWG_Camera_Traps.jsonl.zip",
+    "Orinoquia Camera Traps": "Orinoquia_Camera_Traps.jsonl.zip",
 }
 
-# TODO: Just to make the Dataset viewer on the Hub work
-DEFAULT_CONFIG_NAME = "Caltech Camera Traps"
-
 class LILAConfig(datasets.BuilderConfig):
     """Builder Config for LILA"""
 
@@ -101,7 +100,7 @@ class LILA(datasets.GeneratorBasedBuilder):
             name=row.name,
             # description="TODO: Description",
             image_base_url=row.image_base_url,
-            metadata_url=_LILA_URLS[row.name]
+            metadata_url=_METADATA_BASE_URL + _LILA_URLS[row.name]
         ) for row in _LILA_SAS_URLS.itertuples()
     ]
 
@@ -119,19 +118,15 @@ class LILA(datasets.GeneratorBasedBuilder):
                 "location": datasets.Value("string"),
                 "rights_holder": datasets.Value("string"),
                 "frame_num": datasets.Value("int32"),
-
-
                 "annotations": datasets.Sequence({
                     "id": datasets.Value("string"),
                     "category_id": datasets.Value("int32"),
                 }),
-
                 "bboxes": datasets.Sequence({
                     "id": datasets.Value("string"),
                     "category_id": datasets.Value("int32"),
                     "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
                 }),
-
                 "image": datasets.Image(decode=False),
             })
         elif self.config.name == 'ENA24':
@@ -145,6 +140,192 @@ class LILA(datasets.GeneratorBasedBuilder):
                 }),
                 "image": datasets.Image(decode=False),
             })
+        elif self.config.name == 'Missouri Camera Traps':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "seq_id": datasets.Value("string"), "seq_num_frames": datasets.Value("int32"),
+                "frame_num": datasets.Value("int32"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "sequence_level_annotation": datasets.Value("bool"),
+                    "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
+                }),
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name == 'NACTI':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "study": datasets.Value("string"), "location": datasets.Value("string"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                }),
+                "bboxes": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
+                }),
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name == 'WCS Camera Traps':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "wcs_id": datasets.Value("string"), "location": datasets.Value("string"),
+                "frame_num": datasets.Value("int32"), "match_level": datasets.Value("int32"),
+                "seq_id": datasets.Value("string"), "country_code": datasets.Value("string"),
+                "seq_num_frames": datasets.Value("int32"),
+                "status": datasets.Value("string"),
+                "datetime": datasets.Value("date32"),
+                "corrupt": datasets.Value("bool"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "count": datasets.Value("int32"),
+                    "sex": datasets.Value("string"),
+                    "age": datasets.Value("string"),
+                }),
+                "bboxes": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
+                }),
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name == 'Wellington Camera Traps':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "frame_num": datasets.Value("int32"), "seq_id": datasets.Value("string"),
+                "site": datasets.Value("string"), "camera": datasets.Value("string"),
+                "datetime": datasets.Value("date32"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                }),
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name == 'Island Conservation Camera Traps':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
+                }),
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name == 'Channel Islands Camera Traps':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "frame_num": datasets.Value("int32"), "seq_id": datasets.Value("string"),
+                "seq_num_frames": datasets.Value("int32"),
+                "original_relative_path": datasets.Value("string"),
+                "location": datasets.Value("string"),
+                "temperature": datasets.Value("string"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "sequence_level_annotation": datasets.Value("bool"),
+                    "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
+                }),
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name == 'Idaho Camera Traps':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "frame_num": datasets.Value("int32"), "seq_id": datasets.Value("string"),
+                "seq_num_frames": datasets.Value("int32"),
+                "original_relative_path": datasets.Value("string"),
+                "datetime": datasets.Value("date32"),
+                "location": datasets.Value("string"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "sequence_level_annotation": datasets.Value("bool"),
+                }),
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name == 'Snapshot Serengeti':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "frame_num": datasets.Value("int32"), "seq_id": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "seq_num_frames": datasets.Value("int32"),
+                "datetime": datasets.Value("date32"),
+                "corrupt": datasets.Value("bool"),
+                "location": datasets.Value("string"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "sequence_level_annotation": datasets.Value("bool"),
+                    "seq_id": datasets.Value("string"),
+                    "season": datasets.Value("string"),
+                    "datetime": datasets.Value("date32"),
+                    "subject_id": datasets.Value("string"),
+                    "count": datasets.Value("string"),
+                    "standing": datasets.Value("float32"),
+                    "resting": datasets.Value("float32"),
+                    "moving": datasets.Value("float32"),
+                    "interacting": datasets.Value("float32"),
+                    "young_present": datasets.Value("float32"),
+                    "location": datasets.Value("string"),
+                }),
+                "bboxes": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
+                }),
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name in [
+            'Snapshot Karoo', 'Snapshot Kgalagadi', 'Snapshot Enonkishu', 'Snapshot Camdeboo',
+            'Snapshot Mountain Zebra', 'Snapshot Kruger'
+        ]:
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "frame_num": datasets.Value("int32"), "seq_id": datasets.Value("string"),
+                "width": datasets.Value("int32"), "height": datasets.Value("int32"),
+                "seq_num_frames": datasets.Value("int32"),
+                "datetime": datasets.Value("date32"),
+                "corrupt": datasets.Value("bool"),
+                "location": datasets.Value("string"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "category_id": datasets.Value("int32"),
+                    "sequence_level_annotation": datasets.Value("bool"),
+                    "seq_id": datasets.Value("string"),
+                    "season": datasets.Value("string"),
+                    "datetime": datasets.Value("date32"),
+                    "subject_id": datasets.Value("string"),
+                    "count": datasets.Value("string"),
+                    "standing": datasets.Value("float32"),
+                    "resting": datasets.Value("float32"),
+                    "moving": datasets.Value("float32"),
+                    "interacting": datasets.Value("float32"),
+                    "young_present": datasets.Value("float32"),
+                    "location": datasets.Value("string"),
+                }),
+                "image": datasets.Image(decode=False),
+            })
+        elif self.config.name == 'Orinoquia Camera Traps':
+            return datasets.Features({
+                "id": datasets.Value("string"), "file_name": datasets.Value("string"),
+                "frame_num": datasets.Value("int32"), "seq_id": datasets.Value("string"),
+                "seq_num_frames": datasets.Value("int32"), "datetime": datasets.Value("date32"),
+                "location": datasets.Value("string"),
+                "annotations": datasets.Sequence({
+                    "id": datasets.Value("string"),
+                    "sequence_level_annotation": datasets.Value("bool"),
+                    "category_id": datasets.Value("int32"),
+                }),
+                "image": datasets.Image(decode=False),
+            })
 
     def _info(self):
         features = self._get_features()
@@ -167,6 +348,8 @@ class LILA(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         archive_path = dl_manager.download_and_extract(self.config.metadata_url)
+        if archive_path.endswith(".zip"):
+            archive_path = os.path.join(archive_path, os.listdir(archive_path)[0])
 
         return [
             datasets.SplitGenerator(