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Datasets:
THULab
/
africa_telecom_customer_service_call_transcripts_nigeria

Tasks:
Tabular Classification
Tabular Regression
Modalities:
Text
Time-series
Languages:
English
Size:
10K<n<100K
Tags:
africa
electric-sheep-africa
open-data
metadata-backed
technology-digital
parquet
License:
Dataset card Files
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 Community
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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 Telecom Customer Service Call Transcripts Nigeria (TsFile)

This dataset is converted from electricsheepafrica/africa-synth-telecom-customer-service-call-transcripts-nigeria to Apache TsFile format.

Modalities: Time-series.

Source Dataset

The source is a synthetic Nigerian telecom customer-service call transcript table. Each row describes one customer-service call transcript event with timestamped call metadata, transcript text, sentiment, resolution, and escalation flags.

Converted Data

  • Format: Apache TsFile
  • File: customer_service_call_transcripts.tsfile
  • Row count: 50,000
  • Source columns: 10 scalar columns
  • Nested columns: none
  • Time precision: milliseconds (ms)
  • Conversion path: Java TsFile parquet tool in schema mode

TsFile Schema

Table name: customer_service_call_transcripts

Role Column Type Notes
Time timestamp INT64 / timestamp[ns] source Parsed as TsFile time with millisecond precision.
TAG call_id STRING Unique call/event identifier used as the TsFile device tag.
FIELD customer_id STRING Customer identifier.
FIELD operator STRING Telecom operator.
FIELD call_duration_seconds INT64 Call duration in seconds.
FIELD customer_transcript STRING Customer-service transcript text.
FIELD agent_id STRING Agent identifier.
FIELD sentiment STRING Transcript/call sentiment label.
FIELD issue_resolved BOOLEAN Whether the issue was resolved.
FIELD escalated BOOLEAN Whether the case was escalated.

Conversion Notes

  • timestamp is used as the TsFile time column with millisecond precision.
  • call_id is declared as the TAG column. This preserves a unique (call_id, Time) key for event-level transcript records.
  • All non-time source columns are preserved in the TsFile either as TAG (call_id) or FIELD columns.
  • No source columns are intentionally dropped.
  • No nested columns needed flattening.

Usage

Read the TsFile with Apache TsFile tooling or SDKs. Example path in this repository:

customer_service_call_transcripts.tsfile

Example SQL-style intent:

SELECT * FROM customer_service_call_transcripts WHERE call_id = 'CALL00000001';
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