Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
scan = self._scan_metadata(all_files)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 304, in _scan_metadata
from tsfile.constants import TIME_COLUMN, ColumnCategory
ModuleNotFoundError: No module named 'tsfile'
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(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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.
REG-Forecasting (TsFile)
Apache TsFile version of
wachawich/REG-Forecasting.
Overview
Renewable Energy Generation (REG) forecasting data at hourly granularity, spanning
2020-01-01 to 2025-11-19 (UTC). Each record pairs the power generation of a given hour
(value) with the meteorological and solar-geometry features for that same hour, for use in
generation-forecasting models.
- Two generation types:
type_name=Solar/Wind(fueltype1 / 2). - Forecast target:
value— generation in that hour. - Features: radiation, cloud cover, temperature, humidity, pressure, wind speed/direction,
precipitation, plus engineered features such as
day_of_year,sin_doy,cos_doy,season,solar_zenith_noon_deg, and sunrise/sunset times.
Schema (TsFile structure)
- Time (INT64, milliseconds, UTC) — the timestamp of each hourly record.
- type_name (TAG) — the device dimension,
Solar/Wind(2 devices). Query a single type withWHERE type_name='Solar'. - All remaining columns are FIELDs:
valueplus the meteorological and engineered features.
Type mapping: integer columns → INT64, floating-point columns → DOUBLE, string columns → STRING.
Usage
Read data.tsfile with the Apache TsFile Java or Python SDK.
Source & license
- Original dataset: https://huggingface.co/datasets/wachawich/REG-Forecasting
- Author: wachawich
- License: not declared by the original dataset card; please defer to the original dataset.
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