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Add dataset card

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  ---
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- dataset_info:
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- features:
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- - name: incident_id
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- dtype: large_string
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- - name: timestamp
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- dtype: large_string
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- - name: device_type
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- dtype: large_string
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- - name: rssi_dbm
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- dtype: int64
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- - name: channel_utilization_pct
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- dtype: int64
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- - name: latency_ms
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- dtype: int64
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- - name: packet_loss_pct
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- dtype: float64
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- - name: dhcp_failures
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- dtype: int64
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- - name: dns_risk_score
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- dtype: float64
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- - name: incident_text
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- dtype: large_string
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- - name: label
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- dtype: large_string
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- splits:
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- - name: train
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- num_bytes: 1046629
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- num_examples: 4200
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- - name: validation
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- num_bytes: 224181
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- num_examples: 900
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- - name: test
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- num_bytes: 224760
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- num_examples: 900
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- download_size: 243983
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- dataset_size: 1495570
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-classification
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+ language:
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+ - en
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+ tags:
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+ - networking
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+ - wifi
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+ - cybersecurity
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+ - synthetic-data
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+ - connected-home
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+ pretty_name: SmartNet Network Incidents
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+ size_categories:
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+ - 1K<n<10K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # SmartNet Network Incidents
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+
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+ ## Dataset description
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+
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+ SmartNet Network Incidents is a synthetic dataset for experimenting with
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+ classification of connected-home networking and security incidents.
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+
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+ Each record combines structured telemetry with a short natural-language
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+ incident description.
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+
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+ ## Supported tasks
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+
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+ - Network incident classification
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+ - Support-ticket triage
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+ - Explainable troubleshooting demonstrations
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+ - Retrieval and RAG experiments
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+ - Model-serving and observability demonstrations
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+
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+ ## Labels
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+
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+ | Label | Meaning |
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+ |---|---|
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+ | `healthy` | No material network problem detected |
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+ | `weak_signal` | Poor Wi-Fi signal or excessive distance/attenuation |
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+ | `wifi_congestion` | Heavy channel utilization or interference |
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+ | `high_latency` | Elevated latency or packet loss |
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+ | `dhcp_failure` | Address allocation or lease-renewal problem |
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+ | `dns_security_risk` | Suspicious or unusually risky DNS behaviour |
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+
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+ ## Fields
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+
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+ | Field | Type | Description |
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+ |---|---|---|
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+ | `incident_id` | string | Synthetic record identifier |
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+ | `timestamp` | string | Synthetic UTC timestamp |
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+ | `device_type` | string | Device category |
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+ | `rssi_dbm` | integer | Received signal strength |
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+ | `channel_utilization_pct` | integer | Wi-Fi channel utilization |
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+ | `latency_ms` | integer | Observed network latency |
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+ | `packet_loss_pct` | float | Estimated packet loss |
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+ | `dhcp_failures` | integer | Recent DHCP failures |
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+ | `dns_risk_score` | float | Synthetic DNS risk score |
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+ | `incident_text` | string | Natural-language incident summary |
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+ | `label` | string | Target incident category |
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+
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+ ## Data generation
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+
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+ The records are generated programmatically with deterministic random seeds,
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+ label-specific telemetry ranges, varied text templates, and small amounts of
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+ noise. No customer records, personal data, or production telemetry are used.
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+
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+ ## Intended use
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+
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+ This dataset is intended for education, portfolio demonstrations, prototyping,
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+ testing pipelines, and comparing classification approaches.
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+
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+ ## Limitations
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+
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+ - The data is synthetic.
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+ - Labels originate from generation rules rather than human annotation.
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+ - Reported model scores may overestimate real-world performance.
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+ - The dataset does not represent every router, client, environment, or attack.
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+ - It must not be used for safety-critical or production security decisions
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+ without validation on representative real-world data.
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+
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+ ## Privacy
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+
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+ The dataset contains no real users, addresses, identifiers, or customer
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+ telemetry.