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achinta3/cybersec-jsonschemabench-cloudtrail-natural-hard-v4

CybersecJSONSchemaBench CloudTrail Natural Hard v4 This is a 100-problem natural-prompt long-context cybersecurity reasoning subset built from the full flAWS CloudTrail corpus. Each row contains a natural analyst-style question, a large CloudTrail JSONL context, and the JSON schema the answer must match. Gold answers are deterministic hidden-oracle results over the serialized slice and are not included in this public export. Families actor_recon_to_change: 20… See the full description on the dataset page: https://huggingface.co/datasets/achinta3/cybersec-jsonschemabench-cloudtrail-natural-hard-v4.

sourceHugging Faceotherupdated 5mo agoView on Hugging Face
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CybersecJSONSchemaBench CloudTrail Natural Hard v4

This is a 100-problem natural-prompt long-context cybersecurity reasoning subset built from the full flAWS CloudTrail corpus.

Each row contains a natural analyst-style question, a large CloudTrail JSONL context, and the JSON schema the answer must match. Gold answers are deterministic hidden-oracle results over the serialized slice and are not included in this public export.

Families

  • —actor_recon_to_change: 20
  • —apigateway_mapping_chain: 8
  • —credential_consequence_chain: 15
  • —cross_service_value_bridge: 4
  • —ec2_unsuccessful_expansion: 28
  • —s3_asset_pressure: 10
  • —shared_client_divergence: 15

Columns

  • —instance_id: Stable problem identifier.
  • —prompt: Natural benchmark-style analyst question.
  • —answer_schema: JSON schema for the expected answer.
  • —input_jsonl: Serialized CloudTrail records for the problem context.
  • —evaluation: Scoring metadata.
  • —reasoning_family: Hidden-oracle family name.
  • —difficulty_tags: Intended reasoning requirements.
  • —candidate_count: Number of competing candidates under the hidden oracle.
  • —distractor_count: Candidate-related records not in the gold answer.
  • —primary_margin_over_runner_up: Dominance margin used to control ambiguity.
  • —input_jsonl_bytes: Serialized context size.