Datasets:

THUgewu
/

africa_telecom_call_detail_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 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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Africa Telecom Call Detail Records Nigeria TsFile

This dataset is a TsFile conversion of electricsheepafrica/africa-synth-telecom-call-detail-records-nigeria, a synthetic Nigerian telecom call detail record dataset.

Modalities: Time-series.

Source Dataset

Original dataset: electricsheepafrica/africa-synth-telecom-call-detail-records-nigeria
Source files: call_detail_records.parquet and a CSV copy
Source rows: 1,000,000
Source columns: 13
License: gpl

Converted Data

TsFile path: africa_telecom_call_detail_records_nigeria.tsfile
TsFile table: call_detail_records
Rows: 1,000,000
Time precision: milliseconds
Time range: 2025-09-01 00:00:04 UTC to 2025-10-01 23:59:55 UTC
Source timestamp type: timestamp[ns]
Timestamp precision check: all source timestamps are second-aligned, so converting to millisecond Time does not lose sub-millisecond information.

Schema Mapping

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

TAG columns:

operator
city
tower_id
event_rank

FIELD columns:

cdr_id
calling_number
called_number
network_type
call_type
call_status
duration_seconds
sms_count
data_volume_mb

Conversion Notes

tower_id is the primary telecom site/device dimension. operator and city are kept as TAG columns for direct filtering. cdr_id, calling_number, and called_number are unique or near-unique identifiers, so they remain FIELD columns rather than high-cardinality TAG columns.

The generated event_rank TAG preserves all CDR events without modifying millisecond Time. It is the duplicate order within (operator, city, tower_id, Time): 999,997 rows have event_rank=0, and 3 rows have event_rank=1. The final (operator, city, tower_id, event_rank, Time) key has zero duplicates.

Minimal Read Example

# Read africa_telecom_call_detail_records_nigeria.tsfile with the Apache TsFile SDK.
# Example logical filter:
#   operator = 'MTN' AND city = 'Lagos' AND tower_id = '<tower id>'

Downloads last month: 83

Total file size:

477 MB