Datasets:

THULab
/

africa-synth-telecom-dropped-call-records-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 Synthetic Telecom Dropped Call Records Nigeria (TsFile)

This repository contains an Apache TsFile conversion of electricsheepafrica/africa-synth-telecom-dropped-call-records-nigeria, a synthetic Nigerian telecom dataset describing unsuccessful calls, failure reasons, and network conditions.

Modalities: Time-series.

Source Dataset

Original dataset: electricsheepafrica/africa-synth-telecom-dropped-call-records-nigeria
Category: Network Performance and Operations
Source formats: CSV and Parquet
Converted source file: dropped_call_records.parquet
Rows: 100,000
Columns: 11
Date generated: 2025-10-05
Language: English
Source card metadata license: gpl

The source README describes records of unsuccessful calls with failure reasons and network conditions, using Nigerian telecom context: major cities, MTN, Airtel, Glo, and 9mobile operators, Nigerian phone-number format, West Africa Time (WAT, UTC+1), and 2G/3G/4G/5G network types.

License note: the Hugging Face dataset card metadata declares gpl, while the source README body says "MIT License - For educational and research purposes". Please defer to the original dataset for authoritative licensing terms.

Converted Data

TsFile path: africa_telecom_dropped_call_records_nigeria.tsfile
TsFile table: dropped_call_records
Rows: 100,000
Converted columns: 12 including Time
Device/TAG groups: 1,443
Time precision: milliseconds
Time range: 2025-09-01 00:00:02 UTC to 2025-10-01 23:59:30 UTC
Original timestamp type: timestamp[ns]; all observed values are second-aligned, so conversion to millisecond Time does not lose sub-millisecond information.

TsFile Schema

timestamp is converted to the TsFile Time column as epoch milliseconds and is not retained as a duplicate FIELD.

TAG columns:

operator
city
drop_reason
network_type
event_rank

FIELD columns:

drop_id
calling_number
called_number
tower_id
call_duration_before_drop
signal_strength_dbm

Conversion Notes

This is an event/log table. High-cardinality identifiers such as drop_id, calling_number, called_number, and tower_id are kept as FIELD columns rather than TAG/device keys. The TAG set uses lower-cardinality operational slice dimensions (operator, city, drop_reason, network_type) so the TsFile device model remains compact while still supporting useful filters.

event_rank is a generated TAG that preserves all events without changing Time. It is the duplicate order within (operator, city, drop_reason, network_type, Time). In this source snapshot, 99,996 rows have event_rank=0 and 4 rows have event_rank=1; the final (operator, city, drop_reason, network_type, event_rank, Time) key has no duplicates.

No source rows are dropped. The CSV copy from the source repository is not uploaded here because the TsFile artifact is generated from the source Parquet.

Minimal Read Example

Read the .tsfile file with the Apache TsFile Java or Python SDK.

Example logical filter:

SELECT *
FROM dropped_call_records
WHERE operator = 'MTN'
  AND city = 'Lagos'
  AND drop_reason = 'weak_signal'
  AND network_type = '4G'

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Total file size:

5.41 MB