Datasetpublic

THULab/africa-synth-telecom-edge-computing-load-data-nigeria

Nigeria Telecom Edge Computing Load Data (TsFile) This dataset is an Apache TsFile conversion of electricsheepafrica/africa-synth-telecom-edge-computing-load-data-nigeria, a synthetic Nigerian telecom dataset describing processing demand and resource utilization across edge nodes. Source Dataset Original dataset: electricsheepafrica/africa-synth-telecom-edge-computing-load-data-nigeria Author: electricsheepafrica Category: Emerging and Advanced Original formats:… See the full description on the dataset page: https://huggingface.co/datasets/THULab/africa-synth-telecom-edge-computing-load-data-nigeria.

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Dataset Card

Nigeria Telecom Edge Computing Load Data (TsFile)

This dataset is an Apache TsFile conversion of `electricsheepafrica/africa-synth-telecom-edge-computing-load-data-nigeria`, a synthetic Nigerian telecom dataset describing processing demand and resource utilization across edge nodes.

Source Dataset

—Original dataset: `electricsheepafrica/africa-synth-telecom-edge-computing-load-data-nigeria`
—Author: electricsheepafrica
—Category: Emerging and Advanced
—Original formats: CSV and Parquet
—Rows: 250,000
—Columns: 14
—Date generated: 2025-10-05
—Modalities: Time-series / tabular edge-computing load metrics
—License metadata: gpl as 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: africa_telecom_edge_computing_load_data_nigeria.tsfile
—Table name: edge_computing_load_data
—Conversion mode: custom Python staging + Java TsFile Parquet import tool, schema mode
—Time precision: milliseconds (ms)
—Rows converted: 250,000
—Dropped rows: none
—Source file used: edge_computing_load_data.parquet

Time, TAG, and FIELD Mapping

Source column	TsFile role	Type	Notes
`timestamp`	Time	INT64 timestamp	Original datetime column converted to TsFile `Time` in milliseconds.
`edge_node_id`	TAG	STRING	Edge node identifier.
`city`	TAG	STRING	Nigerian city.
`application`	TAG	STRING	Edge application/workload category.
`operator`	TAG	STRING	Telecom operator.
`load_status`	TAG	STRING	Source load status category.
`event_rank`	TAG	INT64	Generated duplicate-order tag for concurrent same-device same-minute rows.
`cpu_utilization_percent`	FIELD	DOUBLE	CPU utilization percentage.
`memory_utilization_percent`	FIELD	DOUBLE	Memory utilization percentage.
`storage_utilization_percent`	FIELD	DOUBLE	Storage utilization percentage.
`network_throughput_gbps`	FIELD	DOUBLE	Network throughput in Gbps.
`active_sessions`	FIELD	INT64	Active session count.
`requests_per_second`	FIELD	INT64	Request rate.
`avg_response_time_ms`	FIELD	DOUBLE	Average response time in milliseconds.
`cache_hit_ratio_percent`	FIELD	DOUBLE	Cache hit ratio percentage; null values are preserved.

edge_node_id, city, application, operator, and load_status describe an edge-node workload/device dimension. The generated event_rank TAG distinguishes 154 concurrent records that share the same base TAG values and minute timestamp, preserving all source rows without shifting the original time. The source timestamp column is represented as TsFile Time and is not duplicated as a FIELD.

Minimal Read Example

python

from tsfile import TsFileReader

path = "africa_telecom_edge_computing_load_data_nigeria.tsfile"
with TsFileReader(path) as reader:
    schemas = reader.get_all_table_schemas()
    print(schemas.keys())  # includes: edge_computing_load_data

Citation

text

Nigerian Telecom Datasets - Edge Computing Load Data
Generated: 2025-10-05
Category: Emerging and Advanced
Rows: 250,000
Converted to Apache TsFile from the Hugging Face dataset:
electricsheepafrica/africa-synth-telecom-edge-computing-load-data-nigeria