Delete SIA_Dataset.py

SIA_Dataset.py

@@ -1,193 +0,0 @@
-"""
-SIABench — Custom Dataset Loading Script
-Place this file at the ROOT of the HuggingFace repo as SIA_Dataset.py
-"""
-
-import json
-import os
-import datasets
-
-_DESCRIPTION = """
-SIABench is a benchmark for evaluating LLMs on cybersecurity incident analysis tasks.
-It contains three sub-datasets:
-  - alert_triaging_tii: 100 alert triaging scenarios from TII-SSRC-23 (50 TP, 50 FP)
-  - alert_triaging_cic: Alert triaging scenarios from CIC datasets
-  - sia_dataset: 23 open-ended CTF network forensics scenarios
-"""
-
-_CITATION = """
-@inproceedings{siabench2025,
-  title={SIABENCH: A Benchmark for Evaluating LLMs on Cybersecurity Incident Analysis},
-  author={Jajodia, Sourov and others},
-  booktitle={PST 2025},
-  year={2025}
-}
-"""
-
-_BASE = "SIABench-main"
-
-
-class SIABenchConfig(datasets.BuilderConfig):
-    def __init__(self, data_dirs, **kwargs):
-        super().__init__(**kwargs)
-        self.data_dirs = data_dirs  # list of (split_name, folder_path) tuples
-
-
-class SIABench(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-
-        # ── Alert Triaging TII ──────────────────────────────────────────
-        SIABenchConfig(
-            name="alert_triaging_tii",
-            description="Alert triaging scenarios derived from TII-SSRC-23 dataset.",
-            data_dirs=[
-                ("tp", os.path.join(_BASE, "Alert_Triaging_Dataset_TII", "TP")),
-                ("fp", os.path.join(_BASE, "Alert_Triaging_Dataset_TII", "FP")),
-            ],
-        ),
-
-        # ── Alert Triaging CIC ──────────────────────────────────────────
-        SIABenchConfig(
-            name="alert_triaging_cic",
-            description="Alert triaging scenarios derived from CIC datasets.",
-            data_dirs=[
-                ("tp", os.path.join(_BASE, "Alert_Triaging_Dataset_CIC", "TP")),
-                ("fp", os.path.join(_BASE, "Alert_Triaging_Dataset_CIC", "FP")),
-            ],
-        ),
-
-        # ── SIA Dataset (CTF scenarios) ─────────────────────────────────
-        SIABenchConfig(
-            name="sia_dataset",
-            description="Open-ended CTF network forensics scenarios from CyberDefenders and BTLO.",
-            data_dirs=[
-                ("train", os.path.join(_BASE, "SIA_Dataset")),
-            ],
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "sia_dataset"
-
-    def _info(self):
-        if self.config.name in ("alert_triaging_tii", "alert_triaging_cic"):
-            features = datasets.Features({
-                "scenario_name": datasets.Value("string"),
-                "alert_name":    datasets.Value("string"),
-                "alert_type":    datasets.Value("string"),
-                "scenario":      datasets.Value("string"),
-                "alert":         datasets.Value("string"),
-                "tools_available": datasets.Sequence(datasets.Value("string")),
-                "files_available": datasets.Value("string"),
-                "instructions":  datasets.Value("string"),
-                "directory":     datasets.Value("string"),
-                "questions": datasets.Sequence({
-                    "question": datasets.Value("string"),
-                    "answer":   datasets.Value("string"),
-                }),
-            })
-        else:  # sia_dataset
-            features = datasets.Features({
-                "scenario_name":  datasets.Value("string"),
-                "source":         datasets.Value("string"),
-                "last_accessed":  datasets.Value("string"),
-                "writeup":        datasets.Value("string"),
-                "scenario":       datasets.Value("string"),
-                "task_category":  datasets.Value("string"),
-                "complexity":     datasets.Value("string"),
-                "tools_available": datasets.Sequence(datasets.Value("string")),
-                "files_available": datasets.Value("string"),
-                "instructions":   datasets.Value("string"),
-                "directory":      datasets.Value("string"),
-                "questions": datasets.Sequence({
-                    "question":          datasets.Value("string"),
-                    "answer":            datasets.Value("string"),
-                    "adversarial_tactic": datasets.Value("string"),
-                }),
-            })
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            citation=_CITATION,
-            license="Apache-2.0",
-        )
-
-    def _split_generators(self, dl_manager):
-        return [
-            datasets.SplitGenerator(
-                name=split_name,
-                gen_kwargs={"folder": folder},
-            )
-            for split_name, folder in self.config.data_dirs
-        ]
-
-    def _generate_examples(self, folder):
-        if not os.path.exists(folder):
-            return
-
-        for fname in sorted(os.listdir(folder)):
-            if not fname.endswith(".json"):
-                continue
-
-            fpath = os.path.join(folder, fname)
-            with open(fpath, "r", encoding="utf-8") as f:
-                data = json.load(f)
-
-            scenarios = data.get("scenarios", [])
-
-            # ── Extract metadata block ──
-            meta = next(
-                (s.get("metadata") or {} for s in scenarios if "metadata" in s),
-                {}
-            )
-            # ── Extract sia_components block ──
-            comp = next(
-                (s.get("sia_components") or {} for s in scenarios if "sia_components" in s),
-                {}
-            )
-
-            if self.config.name in ("alert_triaging_tii", "alert_triaging_cic"):
-                questions = [
-                    {
-                        "question": q.get("question", ""),
-                        "answer":   q.get("answer", ""),
-                    }
-                    for q in comp.get("questions", [])
-                ]
-                yield fname, {
-                    "scenario_name":   meta.get("scenario_name", ""),
-                    "alert_name":      meta.get("alert_name", ""),
-                    "alert_type":      meta.get("alert_type", ""),
-                    "scenario":        comp.get("scenario", ""),
-                    "alert":           comp.get("alert", ""),
-                    "tools_available": comp.get("tools_available", []),
-                    "files_available": comp.get("files_available", ""),
-                    "instructions":    comp.get("instructions", ""),
-                    "directory":       comp.get("directory", ""),
-                    "questions":       questions,
-                }
-
-            else:  # sia_dataset
-                questions = [
-                    {
-                        "question":           q.get("question", ""),
-                        "answer":             q.get("answer", ""),
-                        "adversarial_tactic": q.get("adversarial_tactic", ""),
-                    }
-                    for q in comp.get("questions", [])
-                ]
-                yield fname, {
-                    "scenario_name":   meta.get("scenario_name", ""),
-                    "source":          meta.get("source", ""),
-                    "last_accessed":   meta.get("last_accessed", ""),
-                    "writeup":         meta.get("writeup", ""),
-                    "scenario":        comp.get("scenario", ""),
-                    "task_category":   comp.get("task_category", ""),
-                    "complexity":      comp.get("complexity", ""),
-                    "tools_available": comp.get("tools_available", []),
-                    "files_available": comp.get("files_available", ""),
-                    "instructions":    comp.get("instructions", ""),
-                    "directory":       comp.get("directory", ""),
-                    "questions":       questions,
-                }