Datasets:
Upload CybersecJSONSchemaBench benchmark export
Browse files- .gitattributes +1 -0
- README.md +45 -0
- test.jsonl +3 -0
.gitattributes
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README.md
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---
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license: other
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language:
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- en
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task_categories:
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- question-answering
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pretty_name: CybersecJSONSchemaBench CloudTrail Objective Natural Hard v5
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size_categories:
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- n<1K
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configs:
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- config_name: default
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data_files:
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- split: test
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path: test.jsonl
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---
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# CybersecJSONSchemaBench CloudTrail Objective Natural Hard v5
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This is a 100-problem natural-prompt long-context cybersecurity reasoning subset built from the full flAWS CloudTrail corpus.
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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.
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## Families
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- `actor_recon_to_change`: 22
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- `apigateway_mapping_chain`: 8
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- `credential_consequence_chain`: 16
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- `cross_service_value_bridge`: 4
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- `ec2_unsuccessful_expansion`: 30
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- `s3_asset_pressure`: 4
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- `shared_client_divergence`: 16
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## Columns
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- `instance_id`: Stable problem identifier.
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- `prompt`: Natural benchmark-style analyst question.
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- `answer_schema`: JSON schema for the expected answer.
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- `input_jsonl`: Serialized CloudTrail records for the problem context.
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- `evaluation`: Scoring metadata.
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- `reasoning_family`: Hidden-oracle family name.
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- `difficulty_tags`: Intended reasoning requirements.
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- `candidate_count`: Number of competing candidates under the hidden oracle.
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- `distractor_count`: Candidate-related records not in the gold answer.
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- `primary_margin_over_runner_up`: Dominance margin used to control ambiguity.
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- `input_jsonl_bytes`: Serialized context size.
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test.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:88bc6ceb7da5d43be0c77a5a31e9d8c1da532dce610642604c2e733e175071f5
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size 371614721
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