update urls

CEED.py

@@ -123,25 +123,11 @@ _FILES_SC = [
 ]
 
 _URLS = {
-    "station": [f"{_REPO_NC}/{x}" for x in _FILES_NC] + [f"{_REPO_SC}/{x}" for x in _FILES_SC],
-    "event": [f"{_REPO_NC}/{x}" for x in _FILES_NC] + [f"{_REPO_SC}/{x}" for x in _FILES_SC],
-    "station_train": [f"{_REPO_NC}/{x}" for x in _FILES_NC[:-1]] + [f"{_REPO_SC}/{x}" for x in _FILES_SC[:-1]],
-    "event_train": [f"{_REPO_NC}/{x}" for x in _FILES_NC[:-1]] + [f"{_REPO_SC}/{x}" for x in _FILES_SC[:-1]],
-    "station_test": [f"{_REPO_NC}/{x}" for x in _FILES_NC[-1:]] + [f"{_REPO_SC}/{x}" for x in _FILES_SC[-1:]],
-    "event_test": [f"{_REPO_NC}/{x}" for x in _FILES_NC[-1:]] + [f"{_REPO_SC}/{x}" for x in _FILES_SC[-1:]],
+    "train": [f"{_REPO_NC}/{x}" for x in _FILES_NC[:-1]] + [f"{_REPO_SC}/{x}" for x in _FILES_SC[:-1]],
+    "test": [f"{_REPO_NC}/{x}" for x in _FILES_NC[-1:]] + [f"{_REPO_SC}/{x}" for x in _FILES_SC[-1:]],
 }
 
 
-class BatchBuilderConfig(datasets.BuilderConfig):
-    """
-    yield a batch of event-based sample, so the number of sample stations can vary among batches
-    Batch Config for CEED
-    """
-
-    def __init__(self, **kwargs):
-        super().__init__(**kwargs)
-
-
 # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
 class CEED(datasets.GeneratorBasedBuilder):
     """CEED: A dataset of earthquake waveforms organized by earthquake events and based on the HDF5 format."""
@@ -254,7 +240,15 @@ class CEED(datasets.GeneratorBasedBuilder):
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-        urls = _URLS[self.config.name]
+        if self.config.name in ["station", "event"]:
+            urls = _URLS["train"] + _URLS["test"]
+        elif self.config.name in ["station_train", "event_train"]:
+            urls = _URLS["train"]
+        elif self.config.name in ["station_test", "event_test"]:
+            urls = _URLS["test"]
+        else:
+            raise ValueError("config.name is not in BUILDER_CONFIGS")
+
         # files = dl_manager.download(urls)
         files = dl_manager.download_and_extract(urls)
         # files = ["waveform_h5/1989.h5", "waveform_h5/1990.h5"]
@@ -266,13 +260,13 @@ class CEED(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.TRAIN,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": files[:-1],
+                        "filepath": files[:-2],
                         "split": "train",
                     },
                 ),
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST,
-                    gen_kwargs={"filepath": files[-1:], "split": "test"},
+                    gen_kwargs={"filepath": files[-2:], "split": "test"},
                 ),
             ]
         elif self.config.name == "station_train" or self.config.name == "event_train":
@@ -319,11 +313,7 @@ class CEED(datasets.GeneratorBasedBuilder):
                         station_ids = list(event.keys())
                         if len(station_ids) == 0:
                             continue
-                        if (
-                            (self.config.name == "station")
-                            or (self.config.name == "station_train")
-                            or (self.config.name == "station_test")
-                        ):
+                        if ("station" in self.config.name):
                             waveforms = np.zeros([3, self.nt], dtype="float32")
 
                             for i, sta_id in enumerate(station_ids):
@@ -349,12 +339,7 @@ class CEED(datasets.GeneratorBasedBuilder):
                                     "station_location": station_location,
                                 }
 
-                        elif (
-                            (self.config.name == "event")
-                            or (self.config.name == "event_train")
-                            or (self.config.name == "event_test")
-                        ):
-
+                        elif ("event" in self.config.name):
                             waveforms = np.zeros([len(station_ids), 3, self.nt], dtype="float32")
                             phase_type = []
                             phase_time = []

example.py

@@ -10,6 +10,7 @@ ceed = load_dataset(
     # name="event_test",
     split="test",
     download_mode="force_redownload",
+    trust_remote_code=True,
 )
 
 # print the first sample of the iterable dataset