update quakeflow_nc.py

quakeflow_nc.py

@@ -17,14 +17,13 @@
 """QuakeFlow_NC: A dataset of earthquake waveforms organized by earthquake events and based on the HDF5 format."""
 
 
-import h5py
-import numpy as np
-import torch
 from typing import Dict, List, Optional, Tuple, Union
-import fsspec
 
 import datasets
-
+import fsspec
+import h5py
+import numpy as np
+import torch
 
 # TODO: Add BibTeX citation
 # Find for instance the citation on arxiv or on the dataset repo/website
@@ -51,24 +50,45 @@ _LICENSE = ""
 # TODO: Add link to the official dataset URLs here
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # 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"
+_REPO = "https://huggingface.co/datasets/AI4EPS/quakeflow_nc/resolve/main/waveform_ps_h5"
 _FILES = [
-    "NC1970-1989.h5",
-    "NC1990-1994.h5",
-    "NC1995-1999.h5",
-    "NC2000-2004.h5",
-    "NC2005-2009.h5",
-    "NC2010.h5",
-    "NC2011.h5",
-    "NC2012.h5",
-    "NC2013.h5",
-    "NC2014.h5",
-    "NC2015.h5",
-    "NC2016.h5",
-    "NC2017.h5",
-    "NC2018.h5",
-    "NC2019.h5",
-    "NC2020.h5",
+    "1987.h5",
+    "1988.h5",
+    "1989.h5",
+    "1990.h5",
+    "1991.h5",
+    "1992.h5",
+    "1993.h5",
+    "1994.h5",
+    "1995.h5",
+    "1996.h5",
+    "1997.h5",
+    "1998.h5",
+    "1999.h5",
+    "2000.h5",
+    "2001.h5",
+    "2002.h5",
+    "2003.h5",
+    "2004.h5",
+    "2005.h5",
+    "2006.h5",
+    "2007.h5",
+    "2008.h5",
+    "2009.h5",
+    "2010.h5",
+    "2011.h5",
+    "2012.h5",
+    "2013.h5",
+    "2014.h5",
+    "2015.h5",
+    "2016.h5",
+    "2017.h5",
+    "2018.h5",
+    "2019.h5",
+    "2020.h5",
+    "2021.h5",
+    "2022.h5",
+    "2023.h5",
 ]
 _URLS = {
     "station": [f"{_REPO}/{x}" for x in _FILES],