README.md

metadata

license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
size_categories:
  - 100K<n<1M
pretty_name: Africa Synthetic Telecom Hardware Sensor Data Nigeria (TsFile)
tags:
  - africa
  - electric-sheep-africa
  - open-data
  - metadata-backed
  - energy
  - parquet
  - tabular
  - text
  - telecom
  - hardware
  - sensor
  - data
  - power
  - tsfile
  - modality:timeseries
  - timeseries
  - format:tsfile
configs:
  - config_name: default
    data_files:
      - split: train
        path: staged.tsfile
modality:
  - timeseries
  - tabular
  - text

Africa Synthetic Telecom Hardware Sensor Data Nigeria (TsFile)

This dataset is an Apache TsFile conversion of electricsheepafrica/africa-synth-telecom-hardware-sensor-data-nigeria, a synthetic Nigerian telecom tower hardware sensor dataset with temperature, power, voltage, humidity, vibration, health-status, and alert readings.

Source Dataset

• Original dataset: electricsheepafrica/africa-synth-telecom-hardware-sensor-data-nigeria
• Source files: hardware_sensor_data.parquet and hardware_sensor_data.csv
• Rows: 500,000
• Columns: 12
• Generated date in source card: 2025-10-05
• Time range in converted data: 2025-09-01 00:00:00 to 2025-10-01 23:59:00
• License note: the source card metadata declares gpl; the source README body also says "MIT License - For educational and research purposes".

TsFile Conversion

• Converted file: staged.tsfile
• TsFile size: 690,291,491 bytes
• TsFile table: hardware_sensor_data
• Time column: source timestamp is parsed as the TsFile Time column with millisecond precision.
• TAG column: sensor_id; the source has 500,000 unique sensor IDs, so (sensor_id, Time) is unique.
• Rows preserved: 500,000 source rows -> 500,000 staged rows.
• Columns preserved: all 12 source columns are represented; no source columns or rows are dropped.

Schema

Role	Column	Type	Notes
TIME	Time	INT64 ms	Renamed from source timestamp during staging
TAG	sensor_id	STRING	TsFile device dimension
FIELD	tower_id	STRING	Tower identifier
FIELD	city	STRING	Nigerian city
FIELD	equipment_type	STRING	Hardware category
FIELD	temperature_celsius	DOUBLE	Sensor measurement
FIELD	power_draw_watts	DOUBLE	Sensor measurement
FIELD	voltage_v	DOUBLE	Sensor measurement
FIELD	humidity_percent	DOUBLE	Sensor measurement
FIELD	vibration_level	DOUBLE	Sensor measurement
FIELD	health_status	STRING	Values observed locally: normal, warning
FIELD	alert_triggered	BOOLEAN	20,508 true values in the converted data

Read Example

Use Apache TsFile tooling or SDKs to read:

from tsfile import TsFileReader

path = "staged.tsfile"
reader = TsFileReader(path)
schemas = reader.get_all_table_schemas()
reader.close()