Datasets:

SIABench
/

SIA_Dataset

configs:
  - config_name: alert_triaging_tii
    data_files:
      - split: tp
        path: data/alert_triaging_tii_tp.jsonl
      - split: fp
        path: data/alert_triaging_tii_fp.jsonl
  - config_name: alert_triaging_cic
    data_files:
      - split: test
        path: data/alert_triaging_cic_test.jsonl
  - config_name: sia_dataset
    data_files:
      - split: test
        path: data/sia_dataset_test.jsonl
license: apache-2.0
task_categories:
  - question-answering
language:
  - en
tags:
  - cybersecurity
  - incident-analysis
  - LLM-benchmark
pretty_name: SIABench

task_categories: - question-answering language: - en tags: - cybersecurity - incident-analysis - LLM-benchmark

SIABench — Security Incident Analysis Benchmark

SIABench is a benchmark for evaluating LLMs on cybersecurity incident analysis tasks, developed at Concordia University's Security Research Centre in collaboration with Defence Research and Development Canada (DRDC).

Dataset Structure

SIABENCH contains three sub-datasets accessible as separate configs:

Config	Description	Splits
`alert_triaging_tii`	100 alert triaging scenarios (TII-SSRC-23 source)	`tp` (50), `fp` (50)
`alert_triaging_cic`	Alert triaging scenarios (CIC source)	`tp`, `fp`
`sia_dataset`	25 open-ended CTF forensics scenarios	`train`

Loading the Dataset

from datasets import load_dataset

# Load alert triaging (TII)
tii = load_dataset("SIABench/SIA_Dataset", "alert_triaging_tii")

# Load alert triaging (CIC)
cic = load_dataset("SIABench/SIA_Dataset", "alert_triaging_cic")

# Load CTF investigation scenarios
sia = load_dataset("SIABench/SIA_Dataset", "sia_dataset")

Scenario Structure

Each JSON file contains two blocks:

1. metadata — scenario identification

scenario_name: unique ID
alert_type (TII/CIC only): "True" (TP) or "False" (FP)

2. sia_components — the LLM task

scenario: natural language description of the incident
tools_available: CLI tools the LLM agent can invoke
files_available: linked PCAP file (capture.pcap)
directory: set to "(directory_of_the_file)"
questions: Q&A pairs (with adversarial_tactic in SIA_Dataset)