Datasets:
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/python3.12/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.
NASA C-MAPSS RUL converted to TsFile
This dataset is a TsFile conversion of
penikmatrumput/nasa-cmapss-rul.
The source dataset is a modified NASA C-MAPSS turbofan engine degradation
simulation dataset prepared for Remaining Useful Life (RUL) prediction.
The original dataset card describes each row as one operating cycle for one engine unit. Engines start with different initial wear and manufacturing variation, operate normally, and then degrade toward failure. The modeling task is to predict RUL from operating settings and sensor measurements.
Source License and Citation
- Source dataset license:
cc0-1.0 - Source dataset: https://huggingface.co/datasets/penikmatrumput/nasa-cmapss-rul
- Original NASA C-MAPSS citation:
@inproceedings{saxena2008damage,
title={Damage Propagation Modeling for Aircraft Engine Run-to-Failure Simulation},
author={Saxena, A. and Goebel, K. and Simon, D. and Eklund, N.},
booktitle={Proceedings of the 1st International Conference on Prognostics and Health Management (PHM08)},
year={2008},
address={Denver, CO}
}
Source Subsets
| Subset | Train Units | Test Units | Operating Conditions | Fault Modes |
|---|---|---|---|---|
| FD001 | 100 | 100 | 1 | High Pressure Compressor |
| FD002 | 260 | 259 | 6 | High Pressure Compressor |
| FD003 | 100 | 100 | 1 | HPC + Fan Degradation |
| FD004 | 248 | 249 | 6 | HPC + Fan Degradation |
Converted Files
The TsFile was built from the source C-MAPSS time-series CSV files:
train_FD001.csvtotrain_FD004.csvtest_FD001.csvtotest_FD004.csvRUL_FD001.csvtoRUL_FD004.csv
The source Hugging Face dataset loader exposes merged train and test
splits, which do not preserve the FD001-FD004 subset identity. This conversion
therefore reads the repository CSV files directly and restores the subset from
the filename.
TsFile Layout
- TsFile:
penikmatrumput_nasa-cmapss-rul.tsfile - Table:
nasa_cmapss_rul - Time column:
Time, copied fromtime_in_cycles - Time precision:
ms - Tags:
subset,split,unit_id - Fields:
unit_number,time_in_cycles,op_setting_1toop_setting_3,sensor_1tosensor_21, andRUL - Row count: 265,256
unit_id is generated as <subset>_<split>_unit_<unit_number> so repeated
unit numbers across subsets and splits remain separate TsFile devices.
RUL Handling
The training CSV files contain per-cycle RUL values. The test CSV files do
not contain per-cycle RUL; their final RUL labels are provided separately in
RUL_FD001.csv to RUL_FD004.csv. For test rows, per-cycle RUL is expanded
as:
RUL = final_RUL + max(time_in_cycles for unit) - time_in_cycles
Row Ordering
Before writing TsFile, rows are sorted by:
subset, split, unit_number, Time
This keeps each TsFile device sequence contiguous and monotonically increasing
in time. Because split is sorted lexically, test rows appear before
train rows within each FD subset. To compare values against the source CSVs,
filter by subset, split, and unit_number, then match by time_in_cycles.
Files Not Included
The source repository also contains documentation and synthetic business/order/production CSV files. Those files are not included in this TsFile because they are not engine sensor time-series measurements at the same grain as the C-MAPSS train/test files.
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