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Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: BadZipFile
Message: File is not a zip file
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 164, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1729, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1686, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1071, in get_module
module_name, default_builder_kwargs = infer_module_for_data_files(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 593, in infer_module_for_data_files
split_modules = {
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 594, in <dictcomp>
split: infer_module_for_data_files_list(data_files_list, download_config=download_config)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 535, in infer_module_for_data_files_list
return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 563, in infer_module_for_data_files_list_in_archives
for f in xglob(extracted, recursive=True, download_config=download_config)[
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1012, in xglob
fs, *_ = url_to_fs(urlpath, **storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 395, in url_to_fs
fs = filesystem(protocol, **inkwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 293, in filesystem
return cls(**storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 80, in __call__
obj = super().__call__(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 62, in __init__
self.zip = zipfile.ZipFile(
File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__
self._RealGetContents()
File "/usr/local/lib/python3.9/zipfile.py", line 1333, in _RealGetContents
raise BadZipFile("File is not a zip file")
zipfile.BadZipFile: File is not a zip fileNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
all_in_one.zarr.zip
<xarray.Dataset> Size: 25GB Dimensions: (Timestamp: 245376, station: 537) Coordinates:
- Timestamp (Timestamp) datetime64[ns] 2MB 2017-01-01 ... 2023-12-31T23:... address (station) <U187 402kB ... city (station) <U18 39kB ... latitude (station) float64 4kB ... longitude (station) float64 4kB ... state (station) <U17 37kB 'Chhattisgarh' ... 'West Bengal'
- station (station) <U64 137kB '32Bungalows, Bhilai - CECB' ... 'Ward-... Data variables: (12/24) AT (Timestamp, station) float64 1GB ... BP (Timestamp, station) float64 1GB ... Benzene (Timestamp, station) float64 1GB ... CO (Timestamp, station) float64 1GB ... Eth-Benzene (Timestamp, station) float64 1GB ... MP-Xylene (Timestamp, station) float64 1GB ... ... ... TOT-RF (Timestamp, station) float64 1GB ... Toluene (Timestamp, station) float64 1GB ... VWS (Timestamp, station) float64 1GB ... WD (Timestamp, station) float64 1GB ... WS (Timestamp, station) float64 1GB ... Xylene (Timestamp, station) float64 1GB ...
Reading data
First install zarr and xarray libraries
pip install zarr xarray
Lazy load the dataset
import xarray as xr
ds = xr.open_zarr("zip:///::https://huggingface.co/datasets/Zeel/P1/resolve/main/all_in_one.zarr.zip")
Full dataset size is ~8 GB. ds variable contains the lazily loaded dataset, which means, it will only download a part of the data when a computation is needed on it.
For example, If we need to calculate mean of PM2.5 in Delhi for 2022, it will only download PM2.5 data of all stations in Delhi for 2022.
delhi_2022_ds = ds.sel(station=ds.station.state=="Delhi", Timestamp="2022")["PM2.5"]
mean_val = delhi_2022_ds.mean().item()
print(mean_val)
# 99.5650831365871
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