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 "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.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.
Africa Synthetic Telecom Cell Tower Handover — Nigeria (TsFile)
Apache TsFile version of electricsheepafrica/africa-synth-telecom-cell-tower-handover-data-nigeria.
Overview
A synthetic dataset of cell tower handover events for the Nigerian mobile network. Each record describes one handover — a subscriber's connection moving from one cell tower to another — including the source and destination towers and cities, whether it succeeded, its duration, the signal strength before and after, and whether a call or data session was active during the handover.
The data incorporates authentic Nigerian telecommunications characteristics: major cities (Lagos, Abuja, Kano, Port Harcourt, Ibadan, and others), 2G/3G/4G/5G network types, and West Africa Time (WAT, UTC+1) event timing.
- Scale: 1,000,000 handovers × 15 columns.
- Time span: 2025-09-01 to 2025-10-01, second resolution.
- Cities: 15 distinct cities (
from_city/to_city). - Handover types: intracity, intercity.
- Network types: 2G, 3G, 4G, 5G.
Schema (TsFile structure)
This is an event/log table, not a per-entity time series. The high-cardinality identifier columns are kept as fields; the device dimension is the set of low-cardinality geo/category columns, which yields ~900 device groups (from_city × to_city × handover_type × network_type), each a dense per-second handover series.
- Time (INT64, milliseconds) — handover timestamp. The source
timestampis second-aligned, so the millisecond conversion is lossless. The sourcetimestampcolumn is replaced byTimeand not retained as a duplicate field. - from_city, to_city, handover_type, network_type (TAG) — the device
dimension. Query one device group with, e.g.,
WHERE from_city='Lagos' AND to_city='Lagos' AND handover_type='intracity' AND network_type='4G'. - event_rank (TAG, INT64) — a generated disambiguator (0..2) that distinguishes concurrent handovers sharing the same (from_city, to_city, handover_type, network_type, Time) without altering Time. It is derived only from the duplicate order within each device-second group.
- handover_id, customer_id, from_tower_id, to_tower_id (FIELD, STRING) —
handover_idis unique per row,customer_idis near-unique (946k distinct), and the tower ids are high-cardinality (135k each), so all stay as fields rather than device keys. - handover_duration_ms, signal_strength_from_dbm, signal_strength_to_dbm (FIELD, INT64) — handover duration and the source/destination signal strength in dBm.
- handover_success, call_in_progress, data_session_active (FIELD, BOOLEAN) — outcome and activity flags.
No columns were dropped and no rows were dropped: all 15 source columns and 1,000,000 rows are preserved.
Usage
Read the .tsfile file with the Apache TsFile Java or Python SDK.
Source & license
- Original dataset: https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-cell-tower-handover-data-nigeria
- Author / publisher: electricsheepafrica (Hugging Face)
- License: the Hugging Face dataset card metadata declares
gpl, while the source README body states "MIT License - For educational and research purposes". Please defer to the original dataset for the authoritative terms.
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