Dataset Viewer
The dataset could not be loaded because the splits use different data file formats, which is not supported. Read more about the splits configuration. Click for more details.
Couldn't infer the same data file format for all splits. Got {NamedSplit('validation'): (None, {}), NamedSplit('test'): ('json', {})}
Error code:   FileFormatMismatchBetweenSplitsError

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

AriaCyberBench laboratory items

Synthetic 160-item suite for the AriaCyberBench workstation: alert triage, CTI extraction, Sigma drafts, and incident RAG. Development and test are family-disjoint. Gold is stored for scoring and is omitted from the model-visible prompt.

Organization dataset and collection are public. Live Gradio is alirezaaminzadeh/aria-cyber-bench and the organization card is AriaAICompany/aria-cyber-bench. Runnable Space source is stored in demo/. Collection: Aria AI — Cybersecurity.

Generated data, seed 25. Hosts, users, IOCs, and runbooks are laboratory placeholders. Recorded LLM rows stay not_evaluated. Passing the suite is not an operational accuracy claim. Related prior art: AgentShield-Bench — this dataset does not redistribute that payload set.

Files

  • data/items.jsonl
  • data/results.jsonl
  • data/leaderboard.csv
  • data/splits.json
  • data/schema.json
  • data/protocol.md
  • data/feature_card.md
  • data/evaluation.json
  • data/sample_preview.json
  • demo/ — runnable Gradio Space source
  • showcase/ — organization static card

Split

  • development: 96 items, families brute_force_cluster, malware_burst, listed_iocs, campaign_narrative, process_create, network_connect, extractive_policy, owner_lookup
  • test: 64 items, families travel_vpn_lookalike, missing_fields, benign_advisory, speculative_actor, missing_field_hypothesis, overbroad_hypothesis, no_policy, conflicting_versions
  • interactive: 20 ids listed in splits.json

Metrics

JSON validity, task score, groundedness, and abstention. Quality uses weights 0.15 / 0.40 / 0.25 / 0.20. An unevaluated method is never written as 0.

License

CC-BY-4.0. Keep the synthetic-data and hidden-gold notices.

Downloads last month
221

Collection including AriaAICompany/cyber-bench-lab