Update README.md

README.md

@@ -1,100 +1,85 @@
----
-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
-  - text-classification
-language:
-  - en
-tags:
-  - cybersecurity
-  - incident-analysis
-  - LLM-benchmark
-  - alert-triaging
-  - network-forensics
-  - MITRE-ATTCK
-  - PCAP
-  - SOC
-pretty_name: SIABench
-size_categories:
-  - n<1K
----
-task_categories:
-  - question-answering
-  - text-classification
-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)**, published at **PST 2025**.
-
-## 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)"`
+---
+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
+  - text-classification
+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)**, published at **PST 2025**.
+
+## 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)