The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 127, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1961, in from_arrow_schema
else generate_from_arrow_type(field.type)
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1620, in generate_from_arrow_type
return Value(dtype=_arrow_to_datasets_dtype(pa_type))
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 123, in _arrow_to_datasets_dtype
raise ValueError(f"Arrow type {arrow_type} does not have a datasets dtype equivalent.")
ValueError: Arrow type decimal64(3, 1) does not have a datasets dtype equivalent.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
NOAA ISD Global Hourly Parquet
This dataset contains the full NOAA Integrated Surface Database / Global Hourly weather observations from 1901 to 2005, converted to Parquet and partitioned by year.
The source data is derived from NOAA/NCEI Integrated Surface Database observations distributed through the public NOAA Global Hourly archive.
Data layout
Each row is an observation report, not necessarily one row per station-hour. Some stations report more frequently than hourly, and some report sparsely.
Common columns include:
- station_id
- timestamp
- source
- latitude, longitude, elevation
- name, report_type, quality_control
- temperature_c, dew_point_c
- wind_dir_deg, wind_speed_ms, wind_gust_ms
- ceiling_m, visibility_m
- sea_level_pressure_hpa, altimeter_hpa, station_pressure_hpa
- associated NOAA quality-code fields
Quality-code columns are stored as one-character strings and preserve source codes, including numeric and alphabetic codes.
Notes
- Timestamps are UTC.
- Coordinates and station metadata are repeated on each observation row for convenient filtering.
- Missing source sentinel values are represented as nulls where applicable.
- This is an observation-level dataset; it has not been resampled to a regular hourly grid.
License and attribution
This dataset is a derived Parquet conversion of NOAA/NCEI Integrated Surface Database / Global Hourly public data.
NOAA data distributed through the NOAA Open Data Dissemination Program are open to the public and can be used as desired. NOAA requests attribution when NOAA data are used or disseminated. Do not state or imply NOAA endorsement or affiliation. Because this dataset reformats and converts the original NOAA data, it should not be represented as original, unaltered NOAA data.
Source: NOAA/NCEI Integrated Surface Database / Global Hourly.
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