THULab/africa-synth-telecom-network-event-logs-nigeria
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… See the full description on the dataset page: https://huggingface.co/datasets/THULab/africa-synth-telecom-network-event-logs-nigeria.
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:
gplas 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
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_logsCitation
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