Datasets:
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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.
Electricity Load Diagrams 2011-2014 (TsFile)
Apache TsFile version of
sxj1024/electricity_load_2011_2014,
the classic Electricity Load Diagrams 2011-2014 dataset.
Overview
Electricity load (in kW) for 370 customers (metering points MT_001–MT_370), at 15-minute granularity from 2011-01-01 00:15:00 to 2015-01-01 00:00:00. 140,256 timestamps × 370 customer series.
Schema (TsFile structure)
- Time (INT64, milliseconds) — the 15-minute timestamp.
- MT_001 … MT_370 (FIELD, FLOAT) — load per customer.
- No TAG: the data is stored as a single wide table, one row per timestamp with the 370 customers as parallel fields.
Usage
Read data.tsfile with the Apache TsFile Java or Python SDK.
Source & license
- Original dataset: https://huggingface.co/datasets/sxj1024/electricity_load_2011_2014
- Upstream source: UCI ML Repository — ElectricityLoadDiagrams20112014
- License: CC BY 4.0
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