Datasets:

THUgewu
/

africa-synth-telecom-hardware-sensor-data-nigeria

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              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/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              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.

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Africa Synthetic Telecom Hardware Sensor Data Nigeria (TsFile)

This dataset is an Apache TsFile conversion of electricsheepafrica/africa-synth-telecom-hardware-sensor-data-nigeria, a synthetic Nigerian telecom tower hardware sensor dataset with temperature, power, voltage, humidity, vibration, health-status, and alert readings.

Source Dataset

Original dataset: electricsheepafrica/africa-synth-telecom-hardware-sensor-data-nigeria
Source files: hardware_sensor_data.parquet and hardware_sensor_data.csv
Rows: 500,000
Columns: 12
Generated date in source card: 2025-10-05
Time range in converted data: 2025-09-01 00:00:00 to 2025-10-01 23:59:00
License note: the source card metadata declares gpl; the source README body also says "MIT License - For educational and research purposes".

TsFile Conversion

Converted file: staged.tsfile
TsFile size: 690,291,491 bytes
TsFile table: hardware_sensor_data
Time column: source timestamp is parsed as the TsFile Time column with millisecond precision.
TAG column: sensor_id; the source has 500,000 unique sensor IDs, so (sensor_id, Time) is unique.
Rows preserved: 500,000 source rows -> 500,000 staged rows.
Columns preserved: all 12 source columns are represented; no source columns or rows are dropped.

Schema

Role	Column	Type	Notes
TIME	`Time`	INT64 ms	Renamed from source `timestamp` during staging
TAG	`sensor_id`	STRING	TsFile device dimension
FIELD	`tower_id`	STRING	Tower identifier
FIELD	`city`	STRING	Nigerian city
FIELD	`equipment_type`	STRING	Hardware category
FIELD	`temperature_celsius`	DOUBLE	Sensor measurement
FIELD	`power_draw_watts`	DOUBLE	Sensor measurement
FIELD	`voltage_v`	DOUBLE	Sensor measurement
FIELD	`humidity_percent`	DOUBLE	Sensor measurement
FIELD	`vibration_level`	DOUBLE	Sensor measurement
FIELD	`health_status`	STRING	Values observed locally: `normal`, `warning`
FIELD	`alert_triggered`	BOOLEAN	20,508 true values in the converted data

Read Example

Use Apache TsFile tooling or SDKs to read:

from tsfile import TsFileReader

path = "staged.tsfile"
reader = TsFileReader(path)
schemas = reader.get_all_table_schemas()
reader.close()

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Total file size:

690 MB