fix the bugs (#1)

- fix the bugs (ed360173d67f282d6f0139d99cc89fc08350127f)
- change name (0151d59a787b8c769480d474db0ed150f401f9c1)


Co-authored-by: kylewhy <kylewhy@users.noreply.huggingface.co>

dataset_script.py → quakeflow_nc.py

@@ -11,8 +11,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+
 # TODO: Address all TODOs and remove all explanatory comments
-"""TODO: Add a description here."""
+# Lint as: python3
+"""QuakeFlow_NC: A dataset of earthquake waveforms organized by earthquake events and based on the HDF5 format."""
 
 
 import csv
@@ -38,7 +40,7 @@ year={2020}
 # TODO: Add description of the dataset here
 # You can copy an official description
 _DESCRIPTION = """\
-This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
+A dataset of earthquake waveforms organized by earthquake events and based on the HDF5 format.
 """
 
 # TODO: Add a link to an official homepage for the dataset here
@@ -52,13 +54,13 @@ _LICENSE = ""
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 _REPO = "https://huggingface.co/datasets/AI4EPS/QuakeFlow_NC/resolve/main/data"
 _URLS = {
-    "NCEDC": [f"{_REPO}/ncedc_event_dataset_{i:03d}.h5" for i in range(36)]
+    "NCEDC": [f"{_REPO}/ncedc_event_dataset_{i:03d}.h5" for i in range(37)]
 }
 
 
 # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
-class NewDataset(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
+class QuakeFlow_NC(datasets.GeneratorBasedBuilder):
+    """QuakeFlow_NC: A dataset of earthquake waveforms organized by earthquake events and based on the HDF5 format."""
 
     VERSION = datasets.Version("1.1.0")
 
@@ -85,7 +87,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
             {
                 "event_id": datasets.Value("string"),
                 "station_id": datasets.Value("string"),
-                "waveform": datasets.Array2D(shape=(3, 1200), dtype="float32"),
+                "waveform": datasets.Array2D(shape=(3, 12000), dtype="float32"),
             }
         )
         return datasets.DatasetInfo(
@@ -114,6 +116,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         urls = _URLS[self.config.name]
         # files = dl_manager.download(urls)
         files = dl_manager.download_and_extract(urls)
+        # files = ["./data/ncedc_event_dataset_000.h5"]
 
         return [
             datasets.SplitGenerator(