Update README.md

README.md

@@ -1,3 +1,88 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+---
+configs:
+  - config_name: alert_triaging_tii
+    data_files:
+      - split: tp
+        path: Alert_Triaging_Dataset_TII/TP/*.json
+      - split: fp
+        path: Alert_Triaging_Dataset_TII/FP/*.json
+
+  - config_name: alert_triaging_cic
+    data_files:
+      - split: tp
+        path: Alert_Triaging_Dataset_CIC/TP/*.json
+      - split: fp
+        path: Alert_Triaging_Dataset_CIC/FP/*.json
+
+  - config_name: sia_dataset
+    data_files:
+      - split: train
+        path: SIA_Dataset/*.json
+
+license: apache-2.0
+task_categories:
+  - question-answering
+language:
+  - en
+tags:
+  - cybersecurity
+  - incident-analysis
+  - LLM-benchmark
+  - alert-triaging
+  - network-forensics
+  - MITRE-ATTCK
+  - PCAP
+  - SOC
+pretty_name: SIABench
+size_categories:
+  - n<1K
+---
+
+# 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` | 23 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)
+
+```