Datasets:

THUgewu
/

africa-synth-telecom-network-event-logs-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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Nigeria Telecom Network Event Logs (TsFile)

This dataset is an Apache TsFile conversion of electricsheepafrica/africa-synth-telecom-network-event-logs-nigeria, a synthetic Nigerian telecom dataset containing detailed network event logs such as packet loss, handover failures, congestion, and connection attempts.

Source Dataset

Original dataset: electricsheepafrica/africa-synth-telecom-network-event-logs-nigeria
Author: electricsheepafrica
Category: Network Performance and Operations
Original formats: CSV and Parquet
Rows: 500,000
Columns: 10
Date generated: 2025-10-05
Modalities: Time-series / tabular event log
License metadata: gpl as listed in the original Hugging Face dataset card metadata. The original README body also contains a "MIT License" note.

The source dataset card describes Nigerian telecom context including major Nigerian cities, operators such as MTN, Airtel, Glo, and 9mobile, West Africa Time (WAT, UTC+1), and 2G/3G/4G/5G network types.

Converted TsFile Data

TsFile path: network_event_logs.tsfile
Table name: network_event_logs
Conversion mode: Java TsFile Parquet import tool, schema mode
Time precision: milliseconds (ms)
Rows converted: 500,000
Dropped columns: none
Source file used: network_event_logs.parquet

Time, TAG, and FIELD Mapping

Source column	TsFile role	Type	Notes
`timestamp`	Time	INT64 timestamp	Original datetime column used as the TsFile time column.
`event_id`	TAG	STRING	Unique event identifier; used as the device/tag key to preserve one row per event even when timestamps repeat.
`tower_id`	FIELD	STRING	Cell tower identifier.
`city`	FIELD	STRING	Nigerian city.
`event_type`	FIELD	STRING	Network event type.
`severity`	FIELD	STRING	Event severity.
`affected_users`	FIELD	INT64	Number of affected users.
`packet_loss_percent`	FIELD	DOUBLE	Packet loss percentage.
`network_type`	FIELD	STRING	2G/3G/4G/5G network type.
`operator`	FIELD	STRING	Telecom operator.

event_id was chosen as the TAG because this is an event-log dataset rather than a regular sensor panel. The original timestamps are not globally unique; using the event identifier as the TAG avoids collisions while retaining all other non-time columns as fields.

Minimal Read Example

from tsfile import TsFileReader

path = "network_event_logs.tsfile"
with TsFileReader(path) as reader:
    schemas = reader.get_all_table_schemas()
    print(schemas.keys())  # includes: network_event_logs

Citation

Nigerian Telecom Datasets - Network Event Logs
Generated: 2025-10-05
Category: Network Performance and Operations
Rows: 500,000
Converted to Apache TsFile from the Hugging Face dataset:
electricsheepafrica/africa-synth-telecom-network-event-logs-nigeria

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Total file size:

542 MB