Datasets:

electricsheepafrica
/

africa-synth-telecom-coverage-maps-and-signal-strength-nigeria

@@ -1,119 +1,141 @@
 ---
-license: gpl
-task_categories:
-- text-classification
 language:
 - en
-tags:
-- telecom
-- coverage
-- map
-- signal
-- strength
 size_categories:
 - 100K<n<1M
 ---
-# Coverage Maps and Signal Strength Data
-## Dataset Description
-Geo-tagged network quality measurements across Nigeria
-## Dataset Information
-- **Category**: Geospatial and Mobility
-- **Format**: CSV, Parquet
-- **Rows**: 200,000
-- **Columns**: 14
-- **Date Generated**: 2025-10-05
-- **Location**: `data/coverage_maps_and_signal_strength_data/`
-## Schema
-| Column | Type | Sample Values |
-|--------|------|---------------|
-| `measurement_id` | String | COV00000001 |
-| `latitude` | Float | 8.993513 |
-| `longitude` | Float | 7.380306 |
-| `city` | String | Abuja |
-| `operator` | String | MTN |
-| `network_type` | String | 4G |
-| `signal_strength_dbm` | Integer | -84 |
-| `coverage_quality` | String | excellent |
-| `download_speed_mbps` | Float | 31.58 |
-| `upload_speed_mbps` | Float | 8.09 |
-| `latency_ms` | Integer | 12 |
-| `tower_id` | String | ABU-4797 |
-| `distance_to_tower_km` | Float | 0.36 |
-| `indoor_outdoor` | String | indoor |
-## Sample Data
-```
-measurement_id  latitude  longitude  city operator network_type  signal_strength_dbm coverage_quality  download_speed_mbps  upload_speed_mbps  latency_ms tower_id  distance_to_tower_km indoor_outdoor
-   COV00000001  8.993513   7.380306 Abuja      MTN           4G                  -84        excellent                31.58               8.09          12 ABU-4797                  0.36         indoor
-   COV00000002  9.928355   8.894921   Jos      MTN           3G                  -90             good                 1.62               0.24         107 JOS-4195                  9.20        outdoor
-   COV00000003  9.906466   8.954852   Jos  9mobile           4G                  -87             good                86.46               9.92          11 JOS-8986                  0.44         indoor
-```
-## Nigerian Context
-This dataset incorporates authentic Nigerian telecommunications characteristics:
-- **Geographic Coverage**: Major Nigerian cities including Lagos, Abuja, Kano, Port Harcourt, Ibadan
-- **Operators**: MTN, Airtel, Glo, 9mobile with realistic market shares
-- **Phone Numbers**: Nigerian format (+234 prefixes)
-- **Currency**: Nigerian Naira (NGN)
-- **Time Zone**: West Africa Time (WAT, UTC+1)
-- **Network Types**: 2G, 3G, 4G, 5G distribution
-## File Formats
-### CSV
-```
-data/coverage_maps_and_signal_strength_data/coverage_maps_and_signal_strength_data.csv
-```
-### Parquet (Recommended)
-```
-data/coverage_maps_and_signal_strength_data/coverage_maps_and_signal_strength_data.parquet
-```
-## Loading the Dataset
-### Python (Pandas)
 ```python
-import pandas as pd
-# Load CSV
-df = pd.read_csv('data/coverage_maps_and_signal_strength_data/coverage_maps_and_signal_strength_data.csv')
-# Load Parquet (recommended for large datasets)
-df = pd.read_parquet('data/coverage_maps_and_signal_strength_data/coverage_maps_and_signal_strength_data.parquet')
 ```
-### Python (PyArrow)
 ```python
-import pyarrow.parquet as pq
-# Load Parquet
-table = pq.read_table('data/coverage_maps_and_signal_strength_data/coverage_maps_and_signal_strength_data.parquet')
-df = table.to_pandas()
 ```
-## License
-MIT License - For educational and research purposes
 ## Citation
-```
-Nigerian Telecom Datasets - Coverage Maps and Signal Strength Data
-Generated: 2025-10-05
-Category: Geospatial and Mobility
-Rows: 200,000
 ```
-## Related Datasets
-This dataset is part of the Nigerian Telecom Datasets collection, which includes 34 datasets covering network performance, customer behavior, financial transactions, infrastructure, geospatial data, customer experience, and emerging technologies.

 ---
+license: other
 language:
 - en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
 size_categories:
 - 100K<n<1M
+tags:
+- "africa"
+- "electric-sheep-africa"
+- "open-data"
+- "metadata-backed"
+- "technology-digital"
+- "parquet"
+- "tabular"
+- "text"
+- "telecom"
+- "coverage"
+- "map"
+- "signal"
+- "strength"
+pretty_name: "Africa Synth Telecom Coverage Maps and Signal Strength Nigeria | Africa (Electric Sheep Africa metadata inventory)"
 ---
+# Africa Synth Telecom Coverage Maps and Signal Strength Nigeria | Africa (Electric Sheep Africa metadata inventory)
+**Size category:** `100K<n<1M` - **Formats:** `parquet` - **Sector:** technology_digital - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
+![size](https://img.shields.io/badge/size-100K%3Cn%3C1M-blue)
+![sector](https://img.shields.io/badge/sector-technology_digital-green)
+![downloads](https://img.shields.io/badge/HF_downloads-22-orange)
+![license](https://img.shields.io/badge/license-other-lightgrey)
+## TL;DR
+This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
+## What This Dataset Covers
+Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
+Dataset context from the existing Hugging Face card: Coverage Maps and Signal Strength Data Dataset Description Geo-tagged network quality measurements across Nigeria Dataset Information Category: Geospatial and Mobility Format: CSV, Parquet Rows: 200,000 Columns: 14 Date Generated: 2025-10-05 Location: data/coverage_maps_and_signal_strength_data/ Schema Column Type Sample Values measurement_id String COV00000001 latitude Float 8.993513 longitude Float 7.380306 city String Abuja… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-coverage-maps-and-signal-strength-nigeria.
+## Dataset Profile
+| Field | Value |
+|---|---|
+| Hugging Face repo | [`electricsheepafrica/africa-synth-telecom-coverage-maps-and-signal-strength-nigeria`](https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-coverage-maps-and-signal-strength-nigeria) |
+| Sector | technology_digital |
+| Topic tags | telecom, coverage, map, signal, strength |
+| Modalities | `tabular`, `text` |
+| Formats | `parquet` |
+| Size category | `100K<n<1M` |
+| Countries | Nigeria |
+| ISO3 coverage | `NGA` |
+| Last modified on HF | `2025-10-05 20:53:44+00:00` |
+| Inventory snapshot | `2026-07-16T16:00:34Z` |
+## How To Read This Dataset
+- Start from the repository files and the dataset viewer when available.
+- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
+- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
+- Preserve missing values until you have a defensible imputation rule.
+## Usage
 ```python
+from datasets import load_dataset
+ds = load_dataset("electricsheepafrica/africa-synth-telecom-coverage-maps-and-signal-strength-nigeria")
+print(ds)
+split_name = next(iter(ds))
+table = ds[split_name]
+print(table.features)
+print(table[:3])
 ```
+### Convert To Pandas When Tabular
 ```python
+from datasets import Dataset
+first_split = ds[next(iter(ds))]
+if isinstance(first_split, Dataset):
+    df = first_split.to_pandas()
+    print(df.head())
 ```
+## Data Quality Notes
+- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
+- Exact schema, row counts, and source files should be inspected in the repository data files.
+- Metadata gaps from the inventory: upstream_publisher.
+- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
+## Source And Provenance
+- **Source context:** Electric Sheep Africa metadata inventory
+- **Publisher/source attribution:** Public dataset metadata
+- **License:** gpl
+- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-coverage-maps-and-signal-strength-nigeria](https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-coverage-maps-and-signal-strength-nigeria)
+- **Inventory retrieved at:** `2026-07-16T16:00:34Z`
+## Suggested Analyses
+- Inspect schema and missingness before modeling.
+- Profile variables by geography, time, and subgroup columns where present.
+- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
+- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
 ## Citation
+```bibtex
+@misc{electric_sheep_africa_africa_synth_telecom_coverage_maps_and_signal_strength_nigeria_2026,
+  title        = {Africa Synth Telecom Coverage Maps and Signal Strength Nigeria | Africa (Electric Sheep Africa metadata inventory)},
+  author       = {Public dataset metadata},
+  year         = {2026},
+  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-coverage-maps-and-signal-strength-nigeria},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-coverage-maps-and-signal-strength-nigeria}}
+}
 ```
+## License
+Released under gpl.
+Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
+## About Electric Sheep Africa
+Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
+---
+Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: `catalog/esa_metadata_inventory/master_metadata.jsonl`.