---
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

```python
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)