Delete convert_to_jsonl.ipynb

convert_to_jsonl.ipynb

@@ -1,242 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Convert SIABENCH JSONs to JSONL for HuggingFace\n",
-    "Flattens the nested `scenarios` structure into one JSON object per line.\n",
-    "Output goes into a `data/` folder to upload alongside your dataset.\n",
-    "\n",
-    "> Run this from your project root where `SIABench-main/` lives."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "b78a1dd7",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Config loaded. Output folder: F:\\Downloads\\MAIN_SIA_BENCH\\data\n"
-     ]
-    }
-   ],
-   "source": [
-    "import json\n",
-    "import os\n",
-    "from pathlib import Path\n",
-    "\n",
-    "BASE_DIR = Path('SIABench-main')\n",
-    "OUT_DIR  = Path('data')   # Will be uploaded to HuggingFace root\n",
-    "OUT_DIR.mkdir(exist_ok=True)\n",
-    "\n",
-    "# ── Config map: output filename → list of (split, source_folder) ──\n",
-    "CONFIGS = {\n",
-    "    'alert_triaging_tii': [\n",
-    "        ('tp', BASE_DIR / 'Alert_Triaging_Dataset' / 'Alert_Triaging_Dataset_TII' / 'TP'),\n",
-    "        ('fp', BASE_DIR / 'Alert_Triaging_Dataset' / 'Alert_Triaging_Dataset_TII' / 'FP'),\n",
-    "    ],\n",
-    "    'alert_triaging_cic': [\n",
-    "        ('test', BASE_DIR / 'Alert_Triaging_Dataset' / 'Alert_Triaging_Dataset_CIC'),\n",
-    "    ],\n",
-    "    'sia_dataset': [\n",
-    "        ('test', BASE_DIR / 'SIA_Dataset'),\n",
-    "    ],\n",
-    "}\n",
-    "\n",
-    "print('Config loaded. Output folder:', OUT_DIR.resolve())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "f4614351",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Flatten functions defined.\n"
-     ]
-    }
-   ],
-   "source": [
-    "def flatten_alert_triaging(meta, comp):\n",
-    "    \"\"\"Flatten TII/CIC scenario into a single dict.\"\"\"\n",
-    "    return {\n",
-    "        'scenario_name':   meta.get('scenario_name', ''),\n",
-    "        'alert_name':      meta.get('alert_name', ''),\n",
-    "        'alert_type':      meta.get('alert_type', ''),\n",
-    "        'scenario':        comp.get('scenario', ''),\n",
-    "        'alert':           comp.get('alert', ''),\n",
-    "        'tools_available': comp.get('tools_available', []),\n",
-    "        'files_available': comp.get('files_available', ''),\n",
-    "        'instructions':    comp.get('instructions', ''),\n",
-    "        'directory':       comp.get('directory', ''),\n",
-    "        'questions': [\n",
-    "            {'question': q.get('question', ''), 'answer': q.get('answer', '')}\n",
-    "            for q in comp.get('questions', [])\n",
-    "        ],\n",
-    "    }\n",
-    "\n",
-    "def flatten_sia_dataset(meta, comp):\n",
-    "    \"\"\"Flatten SIA_Dataset CTF scenario into a single dict.\"\"\"\n",
-    "    return {\n",
-    "        'scenario_name':   meta.get('scenario_name', ''),\n",
-    "        'source':          meta.get('source', ''),\n",
-    "        'last_accessed':   meta.get('last_accessed', ''),\n",
-    "        'writeup':         meta.get('writeup', ''),\n",
-    "        'scenario':        comp.get('scenario', ''),\n",
-    "        'task_category':   comp.get('task_category', ''),\n",
-    "        'complexity':      comp.get('complexity', ''),\n",
-    "        'tools_available': comp.get('tools_available', []),\n",
-    "        'files_available': comp.get('files_available', ''),\n",
-    "        'instructions':    comp.get('instructions', ''),\n",
-    "        'directory':       comp.get('directory', ''),\n",
-    "        'questions': [\n",
-    "            {\n",
-    "                'question':           q.get('question', ''),\n",
-    "                'answer':             q.get('answer', ''),\n",
-    "                'adversarial_tactic': q.get('adversarial_tactic', ''),\n",
-    "            }\n",
-    "            for q in comp.get('questions', [])\n",
-    "        ],\n",
-    "    }\n",
-    "\n",
-    "print('Flatten functions defined.')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "05c92cc6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "  ✓ alert_triaging_tii_tp.jsonl — 100 records\n",
-      "  ✓ alert_triaging_tii_fp.jsonl — 50 records\n",
-      "  ✓ alert_triaging_cic_test.jsonl — 35 records\n",
-      "  ✓ sia_dataset_test.jsonl — 25 records\n",
-      "\n",
-      "Done!\n"
-     ]
-    }
-   ],
-   "source": [
-    "stats = {}\n",
-    "\n",
-    "for config_name, splits in CONFIGS.items():\n",
-    "    stats[config_name] = {}\n",
-    "    is_alert = config_name.startswith('alert_triaging')\n",
-    "\n",
-    "    for split_name, folder in splits:\n",
-    "        if not folder.exists():\n",
-    "            print(f'WARNING: {folder} not found, skipping.')\n",
-    "            continue\n",
-    "\n",
-    "        out_file = OUT_DIR / f'{config_name}_{split_name}.jsonl'\n",
-    "        count = 0\n",
-    "\n",
-    "        with open(out_file, 'w', encoding='utf-8') as out_f:\n",
-    "            for json_file in sorted(folder.glob('*.json')):\n",
-    "                with open(json_file, 'r', encoding='utf-8') as f:\n",
-    "                    data = json.load(f)\n",
-    "\n",
-    "                scenarios = data.get('scenarios', [])\n",
-    "                meta = next((s.get('metadata') or {} for s in scenarios if 'metadata' in s), {})\n",
-    "                comp = next((s.get('sia_components') or {} for s in scenarios if 'sia_components' in s), {})\n",
-    "\n",
-    "                if is_alert:\n",
-    "                    record = flatten_alert_triaging(meta, comp)\n",
-    "                else:\n",
-    "                    record = flatten_sia_dataset(meta, comp)\n",
-    "\n",
-    "                out_f.write(json.dumps(record, ensure_ascii=False) + '\\n')\n",
-    "                count += 1\n",
-    "\n",
-    "        stats[config_name][split_name] = count\n",
-    "        print(f'  ✓ {out_file.name} — {count} records')\n",
-    "\n",
-    "print('\\nDone!')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "98ea98c4",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "══════════════════════════════════════════════════\n",
-      "JSONL EXPORT SUMMARY\n",
-      "══════════════════════════════════════════════════\n",
-      "\n",
-      "alert_triaging_tii:\n",
-      "  tp: 100 records → data/alert_triaging_tii_tp.jsonl\n",
-      "  fp: 50 records → data/alert_triaging_tii_fp.jsonl\n",
-      "\n",
-      "alert_triaging_cic:\n",
-      "  test: 35 records → data/alert_triaging_cic_test.jsonl\n",
-      "\n",
-      "sia_dataset:\n",
-      "  test: 25 records → data/sia_dataset_test.jsonl\n",
-      "\n",
-      "Files in data/ folder:\n",
-      "  alert_triaging_cic_test.jsonl  (40.2 kB)\n",
-      "  alert_triaging_tii_fp.jsonl  (50.2 kB)\n",
-      "  alert_triaging_tii_tp.jsonl  (100.3 kB)\n",
-      "  sia_dataset_test.jsonl  (102.7 kB)\n",
-      "\n",
-      "Next steps:\n",
-      "  1. Delete SIA_Dataset.py from HuggingFace repo\n",
-      "  2. Upload the data/ folder to the ROOT of HuggingFace repo\n",
-      "  3. Upload the updated README.md\n"
-     ]
-    }
-   ],
-   "source": [
-    "# ── Summary ──\n",
-    "print('═' * 50)\n",
-    "print('JSONL EXPORT SUMMARY')\n",
-    "print('═' * 50)\n",
-    "for config, splits in stats.items():\n",
-    "    print(f'\\n{config}:')\n",
-    "    for split, count in splits.items():\n",
-    "        print(f'  {split}: {count} records → data/{config}_{split}.jsonl')\n",
-    "\n",
-    "print('\\nFiles in data/ folder:')\n",
-    "for f in sorted(OUT_DIR.iterdir()):\n",
-    "    print(f'  {f.name}  ({f.stat().st_size / 1024:.1f} kB)')\n",
-    "\n",
-    "print('\\nNext steps:')\n",
-    "print('  1. Delete SIA_Dataset.py from HuggingFace repo')\n",
-    "print('  2. Upload the data/ folder to the ROOT of HuggingFace repo')\n",
-    "print('  3. Upload the updated README.md')"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "name": "python",
-   "version": "3.10.0"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}