| --- |
| license: apache-2.0 |
| task_categories: |
| - text-classification |
| language: |
| - en |
| tags: |
| - networking |
| - wifi |
| - cybersecurity |
| - synthetic-data |
| - connected-home |
| pretty_name: SmartNet Network Incidents |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # SmartNet Network Incidents |
|
|
| ## Dataset description |
|
|
| SmartNet Network Incidents is a synthetic dataset for experimenting with |
| classification of connected-home networking and security incidents. |
|
|
| Each record combines structured telemetry with a short natural-language |
| incident description. |
|
|
| ## Supported tasks |
|
|
| - Network incident classification |
| - Support-ticket triage |
| - Explainable troubleshooting demonstrations |
| - Retrieval and RAG experiments |
| - Model-serving and observability demonstrations |
|
|
| ## Labels |
|
|
| | Label | Meaning | |
| |---|---| |
| | `healthy` | No material network problem detected | |
| | `weak_signal` | Poor Wi-Fi signal or excessive distance/attenuation | |
| | `wifi_congestion` | Heavy channel utilization or interference | |
| | `high_latency` | Elevated latency or packet loss | |
| | `dhcp_failure` | Address allocation or lease-renewal problem | |
| | `dns_security_risk` | Suspicious or unusually risky DNS behaviour | |
|
|
| ## Fields |
|
|
| | Field | Type | Description | |
| |---|---|---| |
| | `incident_id` | string | Synthetic record identifier | |
| | `timestamp` | string | Synthetic UTC timestamp | |
| | `device_type` | string | Device category | |
| | `rssi_dbm` | integer | Received signal strength | |
| | `channel_utilization_pct` | integer | Wi-Fi channel utilization | |
| | `latency_ms` | integer | Observed network latency | |
| | `packet_loss_pct` | float | Estimated packet loss | |
| | `dhcp_failures` | integer | Recent DHCP failures | |
| | `dns_risk_score` | float | Synthetic DNS risk score | |
| | `incident_text` | string | Natural-language incident summary | |
| | `label` | string | Target incident category | |
|
|
| ## Data generation |
|
|
| The records are generated programmatically with deterministic random seeds, |
| label-specific telemetry ranges, varied text templates, and small amounts of |
| noise. No customer records, personal data, or production telemetry are used. |
|
|
| ## Intended use |
|
|
| This dataset is intended for education, portfolio demonstrations, prototyping, |
| testing pipelines, and comparing classification approaches. |
|
|
| ## Limitations |
|
|
| - The data is synthetic. |
| - Labels originate from generation rules rather than human annotation. |
| - Reported model scores may overestimate real-world performance. |
| - The dataset does not represent every router, client, environment, or attack. |
| - It must not be used for safety-critical or production security decisions |
| without validation on representative real-world data. |
|
|
| ## Privacy |
|
|
| The dataset contains no real users, addresses, identifiers, or customer |
| telemetry. |
|
|
