add station_id event_id
Browse files- example.py +3 -3
- quakeflow_nc.py +11 -7
example.py
CHANGED
@@ -9,7 +9,7 @@ quakeflow_nc = datasets.load_dataset(
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split="train",
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# name="station_test",
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# split="test",
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-
download_mode="force_redownload",
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trust_remote_code=True,
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num_proc=36,
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)
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@@ -30,7 +30,7 @@ for example in quakeflow_nc:
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print(example)
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print(example.keys())
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for key in example.keys():
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-
if key == "
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print(key, np.array(example[key]).shape)
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else:
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print(key, example[key])
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@@ -45,7 +45,7 @@ for batch in dataloader:
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print(f"Batch size: {len(batch)}")
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print(batch[0].keys())
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for key in batch[0].keys():
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-
if key == "
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print(key, np.array(batch[0][key]).shape)
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else:
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print(key, batch[0][key])
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split="train",
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# name="station_test",
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# split="test",
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+
# download_mode="force_redownload",
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trust_remote_code=True,
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num_proc=36,
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)
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print(example)
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print(example.keys())
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for key in example.keys():
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+
if key == "waveform":
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print(key, np.array(example[key]).shape)
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else:
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print(key, example[key])
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print(f"Batch size: {len(batch)}")
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print(batch[0].keys())
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for key in batch[0].keys():
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+
if key == "waveform":
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print(key, np.array(batch[0][key]).shape)
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else:
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print(key, batch[0][key])
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quakeflow_nc.py
CHANGED
@@ -290,16 +290,19 @@ class QuakeFlow_NC(datasets.GeneratorBasedBuilder):
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):
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waveform = np.zeros([3, self.nt], dtype="float32")
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-
for i,
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-
waveform[:, : self.nt] = event[
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-
attrs = event[
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phase_type = attrs["phase_type"]
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phase_time = attrs["phase_time"]
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phase_index = attrs["phase_index"]
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phase_polarity = attrs["phase_polarity"]
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station_location = [attrs["longitude"], attrs["latitude"], -attrs["elevation_m"] / 1e3]
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-
yield f"{event_id}/{
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"waveform": waveform,
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"phase_time": phase_time,
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"phase_index": phase_index,
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@@ -326,9 +329,9 @@ class QuakeFlow_NC(datasets.GeneratorBasedBuilder):
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phase_polarity = []
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station_location = []
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-
for i,
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-
waveform[i, :, : self.nt] = event[
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-
attrs = event[
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phase_type.append(list(attrs["phase_type"]))
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phase_time.append(list(attrs["phase_time"]))
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phase_index.append(list(attrs["phase_index"]))
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@@ -337,6 +340,7 @@ class QuakeFlow_NC(datasets.GeneratorBasedBuilder):
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[attrs["longitude"], attrs["latitude"], -attrs["elevation_m"] / 1e3]
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)
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yield event_id, {
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"waveform": waveform,
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"phase_time": phase_time,
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"phase_index": phase_index,
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):
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waveform = np.zeros([3, self.nt], dtype="float32")
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+
for i, station_id in enumerate(station_ids):
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+
waveform[:, : self.nt] = event[station_id][:, : self.nt]
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+
attrs = event[station_id].attrs
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phase_type = attrs["phase_type"]
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phase_time = attrs["phase_time"]
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phase_index = attrs["phase_index"]
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phase_polarity = attrs["phase_polarity"]
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station_location = [attrs["longitude"], attrs["latitude"], -attrs["elevation_m"] / 1e3]
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+
yield f"{event_id}/{station_id}", {
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+
"id": f"{event_id}/{station_id}",
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+
"event_id": event_id,
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+
"station_id": station_id,
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"waveform": waveform,
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"phase_time": phase_time,
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"phase_index": phase_index,
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phase_polarity = []
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station_location = []
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+
for i, station_id in enumerate(station_ids):
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+
waveform[i, :, : self.nt] = event[station_id][:, : self.nt]
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+
attrs = event[station_id].attrs
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phase_type.append(list(attrs["phase_type"]))
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phase_time.append(list(attrs["phase_time"]))
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phase_index.append(list(attrs["phase_index"]))
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[attrs["longitude"], attrs["latitude"], -attrs["elevation_m"] / 1e3]
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)
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yield event_id, {
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+
"event_id": event_id,
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"waveform": waveform,
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"phase_time": phase_time,
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"phase_index": phase_index,
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