Datasets:

THULab
/

africa-synth-telecom-quality-of-service-metrics-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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Nigeria Telecom Quality of Service Metrics (TsFile)

This dataset is an Apache TsFile conversion of electricsheepafrica/africa-synth-telecom-quality-of-service-metrics-nigeria, a synthetic Nigerian telecom dataset containing network performance metrics including latency, jitter, throughput, packet loss, error rates, signal strength, and active users.

Source Dataset

Original dataset: electricsheepafrica/africa-synth-telecom-quality-of-service-metrics-nigeria
Author: electricsheepafrica
Category: Network Performance and Operations
Original formats: CSV and Parquet
Rows: 200,000
Columns: 13
Date generated: 2025-10-05
Modalities: Time-series / tabular network quality metrics
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: quality_of_service_metrics.tsfile
Table name: quality_of_service_metrics
Conversion mode: Java TsFile Parquet import tool, schema mode
Time precision: milliseconds (ms)
Rows converted: 200,000
Dropped columns: none
Source file used: quality_of_service_metrics.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.
`city`	TAG	STRING	Nigerian city.
`operator`	TAG	STRING	Telecom operator.
`network_type`	TAG	STRING	2G/3G/4G/5G network type.
`tower_id`	TAG	STRING	Cell tower identifier.
`metric_id`	FIELD	STRING	Source metric identifier.
`latency_ms`	FIELD	DOUBLE	Latency in milliseconds.
`jitter_ms`	FIELD	DOUBLE	Jitter in milliseconds.
`throughput_mbps`	FIELD	DOUBLE	Throughput in Mbps.
`packet_loss_rate`	FIELD	DOUBLE	Packet loss rate.
`error_rate`	FIELD	DOUBLE	Error rate.
`signal_strength_dbm`	FIELD	INT64	Signal strength in dBm.
`active_users`	FIELD	INT64	Active user count.

city, operator, network_type, and tower_id were chosen as TAG columns so each tower/operator/network combination can be queried as a time-series device. The tuple (city, operator, network_type, tower_id, Time) is unique across the converted source rows, so all 200,000 rows are retained without adding a synthetic rank column. The original timestamp is represented as TsFile Time and is not duplicated as a FIELD.

Minimal Read Example

from tsfile import TsFileReader

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

Citation

Nigerian Telecom Datasets - Quality of Service Metrics
Generated: 2025-10-05
Category: Network Performance and Operations
Rows: 200,000
Converted to Apache TsFile from the Hugging Face dataset:
electricsheepafrica/africa-synth-telecom-quality-of-service-metrics-nigeria

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Total file size:

224 MB