Update PS_Alaska.py
Browse filesUpdate urls and script
- PS_Alaska.py +38 -61
PS_Alaska.py
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@@ -17,26 +17,16 @@
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import h5py
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import csv
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import os
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import datasets
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_ManualPick_ai4eps_CITATION = """\
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@InProceedings{huggingface:dataset,
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title = {A great new dataset},
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author={huggingface, Inc.
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},
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year={2020}
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}
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"""
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_ManualPick_ai4eps_DESCRIPTION = """\
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This dataset includes P and S phases recorded by the broadband stations in the Alaska Peninsula
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"""
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@InProceedings{huggingface:dataset,
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title = {A great new dataset},
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author={huggingface, Inc.
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@@ -46,24 +36,32 @@ year={2020}
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"""
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_ManualPick_DESCRIPTION = """\
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This dataset includes P and S phases recorded by the broadband stations in the Alaska Peninsula
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"""
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"""
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_PNTFIter1_DESCRIPTION = """
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This dataset includes P and S phases predicted by the PhaseNet-TF using model trained by the manualpick dataset
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"""
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_PNTFIter1Combined_CITATION = """
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"""
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_PNTFIter1Combined_DESCRIPTION = """
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This dataset includes all P and S phases from PNTFiter1 dataset and all false negative arrivals of
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"""
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class PSAlaskaConfig(datasets.BuilderConfig):
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@@ -75,7 +73,7 @@ class PSAlaskaConfig(datasets.BuilderConfig):
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feature dict. Should not include "label".
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data_url: `string`, url to download the zip file from.
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citation: `string`, citation for the data set.
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label_classes: `list[string]`, the list of classes for the label if the
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label is present as a string. Non-string labels will be cast to either
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'False' or 'True'.
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@@ -98,26 +96,26 @@ class PSAlaskaDataset(datasets.GeneratorBasedBuilder):
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PSAlaskaConfig(
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name="ManualPick",
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description=_ManualPick_DESCRIPTION,
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data_url=
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citation=
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),
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PSAlaskaConfig(
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name="ManualPick_ai4eps",
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description=_ManualPick_ai4eps_DESCRIPTION,
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data_url=
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citation=
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),
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PSAlaskaConfig(
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name="PNTFIter1",
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description=_PNTFIter1_DESCRIPTION,
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data_url=
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citation=
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),
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PSAlaskaConfig(
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name="PNTFIter1_combined",
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description=_PNTFIter1Combined_DESCRIPTION,
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data_url=
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citation=
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),
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]
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@@ -127,7 +125,7 @@ class PSAlaskaDataset(datasets.GeneratorBasedBuilder):
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def _info(self):
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return datasets.DatasetInfo(
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description=
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features=datasets.Features(
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{
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"begin_time": datasets.Value("string"),
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urls = self.config.data_url
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data_dir = dl_manager.download_and_extract(urls)
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stationl = []
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eventl = []
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waveform_files = {}
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with open(stationf, newline='') as csvfile:
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r = csv.reader(csvfile, delimiter=',')
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next(r)
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for row in r:
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stationl.append(row[-1])
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with open(os.path.join(data_dir, 'catalogs.csv'), newline='') as csvfile:
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r = csv.reader(csvfile, delimiter=',')
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next(r)
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for row in r:
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eventl.append(row[3])
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for e in eventl:
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waveform_files[e] = os.path.join(data_dir, 'waveform', f'{e}.h5')
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return [
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datasets.SplitGenerator(
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name="full",
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gen_kwargs={
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"
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"events": eventl,
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"waveform_files": waveform_files
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},
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),
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]
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def _generate_examples(self,
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f = h5py.File(waveform_files[e], 'r')
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for sta in f[e].keys():
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key = f'{e}_{sta}'
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meta =
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yield key, {
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"begin_time": meta['begin_time'],
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"end_time": meta['end_time'],
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@@ -201,6 +178,6 @@ class PSAlaskaDataset(datasets.GeneratorBasedBuilder):
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"phase_index": meta['phase_index'],
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"phase_time": meta['phase_time'],
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"phase_type": meta['phase_type'],
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"waveform":
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}
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import h5py
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import csv
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import os
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import logging
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import datasets
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# Set up logging for debugging download issues
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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_CITATION = """\
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@InProceedings{huggingface:dataset,
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title = {A great new dataset},
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author={huggingface, Inc.
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"""
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_ManualPick_DESCRIPTION = """\
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This dataset includes P and S phases from AACSE catalog recorded by the broadband stations in the Alaska Peninsula
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"""
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_ManualPick_ai4eps_DESCRIPTION = """\
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This dataset includes P and S phases from AACSE catalog recorded by the broadband stations in the Alaska Peninsula in ai4eps format
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"""
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_PNTFIter1_DESCRIPTION = """
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This dataset includes P and S phases predicted by the PhaseNet-TF using model trained by the manualpick dataset
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"""
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_PNTFIter1Combined_DESCRIPTION = """
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This dataset includes all P and S phases from PNTFiter1 dataset and all false negative arrivals of ManualPick dataset
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"""
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_Base_URL = "https://huggingface.co/datasets/Aaaapril/PS_Alaska/resolve/main"
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def get_data_url(dataset, n):
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return {
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"catalogs": f"{_Base_URL}/{dataset}/catalogs.csv",
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"phases": f"{_Base_URL}/{dataset}/phase_picks.csv",
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"waveform": f"{_Base_URL}/{dataset}/waveform.h5",
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"stations": f"{_Base_URL}/stations.json",
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"waveforms": [
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f"{_Base_URL}/{dataset}/waveform/{x:05d}-of-{n:05d}.zip" for x in range(n)
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]
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}
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class PSAlaskaConfig(datasets.BuilderConfig):
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feature dict. Should not include "label".
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data_url: `string`, url to download the zip file from.
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citation: `string`, citation for the data set.
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data_url: `string`, url for information about the data set.
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label_classes: `list[string]`, the list of classes for the label if the
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label is present as a string. Non-string labels will be cast to either
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'False' or 'True'.
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PSAlaskaConfig(
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name="ManualPick",
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description=_ManualPick_DESCRIPTION,
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data_url=get_data_url("ManualPick", 4),
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citation=_CITATION,
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),
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PSAlaskaConfig(
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name="ManualPick_ai4eps",
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description=_ManualPick_ai4eps_DESCRIPTION,
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data_url=get_data_url("ManualPick_ai4eps", 4),
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citation=_CITATION,
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),
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PSAlaskaConfig(
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name="PNTFIter1",
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description=_PNTFIter1_DESCRIPTION,
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data_url=get_data_url("PNTFIter1", 19),
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citation=_CITATION,
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),
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PSAlaskaConfig(
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name="PNTFIter1_combined",
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description=_PNTFIter1Combined_DESCRIPTION,
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data_url=get_data_url("PNTFIter1_combined", 20),
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citation=_CITATION,
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),
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=self.config.description,
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features=datasets.Features(
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{
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"begin_time": datasets.Value("string"),
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urls = self.config.data_url
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data_dir = dl_manager.download_and_extract(urls)
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handler = h5py.File(data_dir['waveform'], 'r')
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return [
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datasets.SplitGenerator(
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name="full",
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gen_kwargs={
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"handler": handler
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},
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),
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]
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def _generate_examples(self, handler):
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for e in handler.keys():
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for sta in handler[e].keys():
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key = f'{e}_{sta}'
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meta = handler[e][sta].attrs
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yield key, {
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"begin_time": meta['begin_time'],
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"end_time": meta['end_time'],
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"phase_index": meta['phase_index'],
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"phase_time": meta['phase_time'],
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"phase_type": meta['phase_type'],
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"waveform": handler[e][sta]
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}
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handler.close()
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