Datasets:

THULab
/

africa_telecom_mobility_trace_datasets_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 68, 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 Telecom Mobility Trace Datasets Nigeria (TsFile)

This dataset is converted from electricsheepafrica/africa-synth-telecom-mobility-trace-datasets-nigeria to Apache TsFile format.

Modalities: Time-series.

Source Dataset

Original dataset: electricsheepafrica/africa-synth-telecom-mobility-trace-datasets-nigeria
Authors: electricsheepafrica (Hugging Face)
Source license metadata: gpl
Source file used for conversion: mobility_trace_datasets.parquet

The source is a synthetic Nigerian telecom mobility trace table. Each row describes one timestamped subscriber mobility observation with geographic coordinates, cell tower/city metadata, movement speed/direction, and contextual labels.

Converted Data

Format: Apache TsFile
File: mobility_trace_datasets.tsfile
Row count: 500,000
Source columns: 13 scalar columns
Nested columns: none
Time precision: milliseconds (ms)
Conversion path: Java TsFile parquet tool in schema mode

TsFile Schema

Table name: mobility_trace_datasets

Role	Column	Type	Notes
Time	`timestamp`	INT64 / timestamp[ns] source	Parsed as TsFile time with millisecond precision.
TAG	`customer_id`	STRING	Subscriber / moving-entity identifier.
FIELD	`trace_id`	STRING	Trace event identifier.
FIELD	`latitude`	DOUBLE	Latitude coordinate.
FIELD	`longitude`	DOUBLE	Longitude coordinate.
FIELD	`city`	STRING	City label.
FIELD	`tower_id`	STRING	Telecom tower identifier.
FIELD	`movement_speed_kmh`	DOUBLE	Movement speed in km/h.
FIELD	`direction_degrees`	INT64	Direction angle in degrees.
FIELD	`user_density`	STRING	Density category.
FIELD	`time_of_day`	STRING	Time-of-day category.
FIELD	`day_of_week`	STRING	Day-of-week label.
FIELD	`location_type`	STRING	Location category.

Conversion Notes

timestamp is used as the TsFile time column with millisecond precision.
customer_id is declared as the TAG column. It is the natural subscriber/moving-entity dimension for mobility traces, and (customer_id, timestamp) is unique in the inspected source.
All non-time source columns are preserved in the TsFile either as TAG (customer_id) or FIELD columns.
No source columns are intentionally dropped.
No nested columns needed flattening.

Usage

Read the TsFile with Apache TsFile tooling or SDKs. Example path in this repository:

mobility_trace_datasets.tsfile

Example SQL-style intent:

SELECT latitude, longitude, movement_speed_kmh
FROM mobility_trace_datasets
WHERE customer_id = 'CUST4954603';

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Total file size:

729 MB