Spaces:
Sleeping
Sleeping
Commit ·
9e6be29
1
Parent(s): d6fbf54
Add fixed seeds for dataset, update dashboard
Browse files- artifacts/osint_dashboard.html +0 -0
- datasets/fixed_levels/README.md +64 -0
- datasets/fixed_levels/complete_dataset_qwen_generated.json +1930 -0
- datasets/fixed_levels/fixed_graph_questions.json +1172 -0
- datasets/fixed_levels/leaderboard_fixed_levels.json +43 -0
- datasets/fixed_levels/qwen_swarm_benchmark_fixed_levels.json +69 -0
- datasets/fixed_levels/qwen_swarm_eval_by_difficulty.json +53 -0
- datasets/fixed_levels/qwen_swarm_eval_fixed_levels.json +25 -0
- datasets/fixed_levels/seed_fixed_levels.json +1113 -0
- datasets/fixed_levels/shared_config_fixed_levels.json +55 -0
- scripts/build_fixed_levels_dataset.py +197 -0
- src/osint_env/cli.py +78 -11
- src/osint_env/eval/runner.py +21 -0
- src/osint_env/viz/dashboard.py +104 -10
- tests/test_dashboard.py +1 -0
- tests/test_eval.py +12 -0
artifacts/osint_dashboard.html
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datasets/fixed_levels/README.md
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@@ -0,0 +1,64 @@
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# Fixed Levels Submission Dataset
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This folder contains a fixed three-level OSINT benchmark set built on one shared base graph.
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## Files
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- `seed_fixed_levels.json`: master fixed seed with canonical nodes, edges, and 15 fixed questions.
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- `fixed_graph_questions.json`: extracted fixed dataset snapshot for submission packaging.
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- `shared_config_fixed_levels.json`: run config used for generation and evaluation.
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- `complete_dataset_qwen_generated.json`: full dataset after Qwen (`qwen3:2b` via Ollama) expands the graph.
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- `qwen_swarm_eval_fixed_levels.json`: Qwen swarm evaluation summary on this set.
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- `qwen_swarm_benchmark_fixed_levels.json`: benchmark output with record and summary.
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- `leaderboard_fixed_levels.json`: leaderboard file for this dataset.
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- `dashboard_fixed_levels.html`: interactive dashboard generated from the benchmark run.
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## Difficulty Design
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- Easy: 5 questions, mostly direct alias, org, location, and event lookup.
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- Mid: 5 questions, 2-hop linking across alias plus org or event relations.
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- High: 5 questions, multi-hop cross-platform traces with implicit collaboration context.
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All 15 questions are fixed and share the same seeded graph.
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## Regenerate Artifacts
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```bash
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source ~/arl/bin/activate
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cd /home/ritish/test1
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PYTHONPATH=src python scripts/build_fixed_levels_dataset.py \
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--seed-file datasets/fixed_levels/seed_fixed_levels.json \
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--shared-config datasets/fixed_levels/shared_config_fixed_levels.json \
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--output-dir datasets/fixed_levels
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```
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## Evaluate Qwen Swarm
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```bash
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source ~/arl/bin/activate
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cd /home/ritish/test1
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PYTHONPATH=src osint-env eval \
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--config datasets/fixed_levels/shared_config_fixed_levels.json \
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--seed-file datasets/fixed_levels/seed_fixed_levels.json \
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--agent-mode swarm \
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--llm-provider ollama \
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--llm-model qwen3:2b \
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--episodes 15
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```
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## Benchmark + Dashboard
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```bash
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source ~/arl/bin/activate
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cd /home/ritish/test1
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PYTHONPATH=src osint-env benchmark \
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--config datasets/fixed_levels/shared_config_fixed_levels.json \
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--seed-file datasets/fixed_levels/seed_fixed_levels.json \
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--agent-mode swarm \
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--llm-provider ollama \
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--llm-model qwen3:2b \
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--episodes 15 \
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--name fixed_levels_qwen_swarm \
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--leaderboard datasets/fixed_levels/leaderboard_fixed_levels.json \
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--dashboard datasets/fixed_levels/dashboard_fixed_levels.html
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```
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datasets/fixed_levels/complete_dataset_qwen_generated.json
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| 1091 |
+
{
|
| 1092 |
+
"text": "Interesting link.",
|
| 1093 |
+
"user_id": "user_ivy"
|
| 1094 |
+
}
|
| 1095 |
+
],
|
| 1096 |
+
"thread_id": "thr_3",
|
| 1097 |
+
"topic": "ai"
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"author_id": "user_gita",
|
| 1101 |
+
"comments": [
|
| 1102 |
+
{
|
| 1103 |
+
"text": "Following this.",
|
| 1104 |
+
"user_id": "user_ivy"
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"text": "Interesting link.",
|
| 1108 |
+
"user_id": "user_cyrus"
|
| 1109 |
+
}
|
| 1110 |
+
],
|
| 1111 |
+
"thread_id": "thr_4",
|
| 1112 |
+
"topic": "infra"
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"author_id": "user_cyrus",
|
| 1116 |
+
"comments": [
|
| 1117 |
+
{
|
| 1118 |
+
"text": "Following this.",
|
| 1119 |
+
"user_id": "user_aria"
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"text": "Interesting link.",
|
| 1123 |
+
"user_id": "user_jules"
|
| 1124 |
+
}
|
| 1125 |
+
],
|
| 1126 |
+
"thread_id": "thr_5",
|
| 1127 |
+
"topic": "startup"
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"author_id": "user_aria",
|
| 1131 |
+
"comments": [
|
| 1132 |
+
{
|
| 1133 |
+
"text": "Following this.",
|
| 1134 |
+
"user_id": "user_0"
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"text": "Interesting link.",
|
| 1138 |
+
"user_id": "user_2"
|
| 1139 |
+
}
|
| 1140 |
+
],
|
| 1141 |
+
"thread_id": "thr_6",
|
| 1142 |
+
"topic": "security"
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"author_id": "user_gita",
|
| 1146 |
+
"comments": [
|
| 1147 |
+
{
|
| 1148 |
+
"text": "Following this.",
|
| 1149 |
+
"user_id": "user_ivy"
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"text": "Interesting link.",
|
| 1153 |
+
"user_id": "user_elin"
|
| 1154 |
+
}
|
| 1155 |
+
],
|
| 1156 |
+
"thread_id": "thr_7",
|
| 1157 |
+
"topic": "infra"
|
| 1158 |
+
}
|
| 1159 |
+
],
|
| 1160 |
+
"microblog_posts": [
|
| 1161 |
+
{
|
| 1162 |
+
"canonical_user": "user_diya",
|
| 1163 |
+
"mentions": [
|
| 1164 |
+
"user_3"
|
| 1165 |
+
],
|
| 1166 |
+
"post_id": "post_0",
|
| 1167 |
+
"text": "Update 0 from Apex Dynamics #hyderabad",
|
| 1168 |
+
"timestamp": 1000,
|
| 1169 |
+
"user_id": "alias_monsoonbyte"
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"canonical_user": "user_hiro",
|
| 1173 |
+
"mentions": [
|
| 1174 |
+
"user_2"
|
| 1175 |
+
],
|
| 1176 |
+
"post_id": "post_1",
|
| 1177 |
+
"text": "Update 1 from Northbridge #bengaluru",
|
| 1178 |
+
"timestamp": 1001,
|
| 1179 |
+
"user_id": "alias_docksparrow"
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"canonical_user": "user_diya",
|
| 1183 |
+
"mentions": [
|
| 1184 |
+
"user_2"
|
| 1185 |
+
],
|
| 1186 |
+
"post_id": "post_2",
|
| 1187 |
+
"text": "Update 2 from Northbridge #delhi",
|
| 1188 |
+
"timestamp": 1002,
|
| 1189 |
+
"user_id": "alias_monsoonbyte"
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"canonical_user": "user_3",
|
| 1193 |
+
"mentions": [
|
| 1194 |
+
"user_0"
|
| 1195 |
+
],
|
| 1196 |
+
"post_id": "post_3",
|
| 1197 |
+
"text": "Update 3 from Northbridge #delhi",
|
| 1198 |
+
"timestamp": 1003,
|
| 1199 |
+
"user_id": "user_3"
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"canonical_user": "user_aria",
|
| 1203 |
+
"mentions": [
|
| 1204 |
+
"user_2"
|
| 1205 |
+
],
|
| 1206 |
+
"post_id": "post_4",
|
| 1207 |
+
"text": "Update 4 from Helios Labs #sector 9",
|
| 1208 |
+
"timestamp": 1004,
|
| 1209 |
+
"user_id": "user_aria"
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"canonical_user": "user_bharat",
|
| 1213 |
+
"mentions": [
|
| 1214 |
+
"user_2"
|
| 1215 |
+
],
|
| 1216 |
+
"post_id": "post_5",
|
| 1217 |
+
"text": "Update 5 from Northbridge Logistics #dockyard 17",
|
| 1218 |
+
"timestamp": 1005,
|
| 1219 |
+
"user_id": "alias_steelquill"
|
| 1220 |
+
},
|
| 1221 |
+
{
|
| 1222 |
+
"canonical_user": "user_hiro",
|
| 1223 |
+
"mentions": [
|
| 1224 |
+
"user_3"
|
| 1225 |
+
],
|
| 1226 |
+
"post_id": "post_6",
|
| 1227 |
+
"text": "Update 6 from Apex Dynamics #old town",
|
| 1228 |
+
"timestamp": 1006,
|
| 1229 |
+
"user_id": "alias_docksparrow"
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"canonical_user": "user_faris",
|
| 1233 |
+
"mentions": [
|
| 1234 |
+
"user_3"
|
| 1235 |
+
],
|
| 1236 |
+
"post_id": "post_7",
|
| 1237 |
+
"text": "Update 7 from Blueharbor Media #old town",
|
| 1238 |
+
"timestamp": 1007,
|
| 1239 |
+
"user_id": "alias_nightrelay"
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"canonical_user": "user_elin",
|
| 1243 |
+
"mentions": [
|
| 1244 |
+
"user_3"
|
| 1245 |
+
],
|
| 1246 |
+
"post_id": "post_8",
|
| 1247 |
+
"text": "Update 8 from Helios Labs #sector 9",
|
| 1248 |
+
"timestamp": 1008,
|
| 1249 |
+
"user_id": "user_elin"
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"canonical_user": "user_elin",
|
| 1253 |
+
"mentions": [
|
| 1254 |
+
"user_3"
|
| 1255 |
+
],
|
| 1256 |
+
"post_id": "post_9",
|
| 1257 |
+
"text": "Update 9 from Tidewatch Ops #rivergate",
|
| 1258 |
+
"timestamp": 1009,
|
| 1259 |
+
"user_id": "alias_mapleghost"
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"canonical_user": "user_gita",
|
| 1263 |
+
"mentions": [
|
| 1264 |
+
"user_0"
|
| 1265 |
+
],
|
| 1266 |
+
"post_id": "post_10",
|
| 1267 |
+
"text": "Update 10 from Apex Dynamics #old town",
|
| 1268 |
+
"timestamp": 1010,
|
| 1269 |
+
"user_id": "user_gita"
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"canonical_user": "user_hiro",
|
| 1273 |
+
"mentions": [
|
| 1274 |
+
"user_0"
|
| 1275 |
+
],
|
| 1276 |
+
"post_id": "post_11",
|
| 1277 |
+
"text": "Update 11 from Northbridge Logistics #dockyard 17",
|
| 1278 |
+
"timestamp": 1011,
|
| 1279 |
+
"user_id": "user_hiro"
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"canonical_user": "user_ivy",
|
| 1283 |
+
"mentions": [
|
| 1284 |
+
"user_0"
|
| 1285 |
+
],
|
| 1286 |
+
"post_id": "post_12",
|
| 1287 |
+
"text": "Update 12 from Kestrel Works #rivergate",
|
| 1288 |
+
"timestamp": 1012,
|
| 1289 |
+
"user_id": "user_ivy"
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"canonical_user": "user_jules",
|
| 1293 |
+
"mentions": [
|
| 1294 |
+
"user_1"
|
| 1295 |
+
],
|
| 1296 |
+
"post_id": "post_13",
|
| 1297 |
+
"text": "Update 13 from Blueharbor Media #old town",
|
| 1298 |
+
"timestamp": 1013,
|
| 1299 |
+
"user_id": "user_jules"
|
| 1300 |
+
}
|
| 1301 |
+
],
|
| 1302 |
+
"profiles": [
|
| 1303 |
+
{
|
| 1304 |
+
"connections": [
|
| 1305 |
+
"user_2"
|
| 1306 |
+
],
|
| 1307 |
+
"location": "Hyderabad",
|
| 1308 |
+
"name": "Person 0",
|
| 1309 |
+
"org": "Apex Dynamics",
|
| 1310 |
+
"user_id": "user_0",
|
| 1311 |
+
"work_history": [
|
| 1312 |
+
"Apex Dynamics"
|
| 1313 |
+
]
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"connections": [],
|
| 1317 |
+
"location": "Bengaluru",
|
| 1318 |
+
"name": "Person 1",
|
| 1319 |
+
"org": "Northbridge",
|
| 1320 |
+
"user_id": "user_1",
|
| 1321 |
+
"work_history": [
|
| 1322 |
+
"Northbridge"
|
| 1323 |
+
]
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"connections": [],
|
| 1327 |
+
"location": "Delhi",
|
| 1328 |
+
"name": "Person 2",
|
| 1329 |
+
"org": "Northbridge",
|
| 1330 |
+
"user_id": "user_2",
|
| 1331 |
+
"work_history": [
|
| 1332 |
+
"Northbridge"
|
| 1333 |
+
]
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"connections": [
|
| 1337 |
+
"user_0"
|
| 1338 |
+
],
|
| 1339 |
+
"location": "Delhi",
|
| 1340 |
+
"name": "Person 3",
|
| 1341 |
+
"org": "Northbridge",
|
| 1342 |
+
"user_id": "user_3",
|
| 1343 |
+
"work_history": [
|
| 1344 |
+
"Northbridge"
|
| 1345 |
+
]
|
| 1346 |
+
},
|
| 1347 |
+
{
|
| 1348 |
+
"connections": [
|
| 1349 |
+
"user_cyrus"
|
| 1350 |
+
],
|
| 1351 |
+
"location": "Sector 9",
|
| 1352 |
+
"name": "Aria Sen",
|
| 1353 |
+
"org": "Helios Labs",
|
| 1354 |
+
"user_id": "user_aria",
|
| 1355 |
+
"work_history": [
|
| 1356 |
+
"Helios Labs"
|
| 1357 |
+
]
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"connections": [
|
| 1361 |
+
"user_hiro",
|
| 1362 |
+
"event_project_lantern"
|
| 1363 |
+
],
|
| 1364 |
+
"location": "Dockyard 17",
|
| 1365 |
+
"name": "Bharat Kulkarni",
|
| 1366 |
+
"org": "Northbridge Logistics",
|
| 1367 |
+
"user_id": "user_bharat",
|
| 1368 |
+
"work_history": [
|
| 1369 |
+
"Northbridge Logistics"
|
| 1370 |
+
]
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"connections": [
|
| 1374 |
+
"user_gita"
|
| 1375 |
+
],
|
| 1376 |
+
"location": "Old Town",
|
| 1377 |
+
"name": "Cyrus Mehta",
|
| 1378 |
+
"org": "Apex Dynamics",
|
| 1379 |
+
"user_id": "user_cyrus",
|
| 1380 |
+
"work_history": [
|
| 1381 |
+
"Apex Dynamics"
|
| 1382 |
+
]
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"connections": [
|
| 1386 |
+
"user_elin",
|
| 1387 |
+
"user_ivy",
|
| 1388 |
+
"event_project_lantern"
|
| 1389 |
+
],
|
| 1390 |
+
"location": "Old Town",
|
| 1391 |
+
"name": "Diya Roy",
|
| 1392 |
+
"org": "Blueharbor Media",
|
| 1393 |
+
"user_id": "user_diya",
|
| 1394 |
+
"work_history": [
|
| 1395 |
+
"Blueharbor Media"
|
| 1396 |
+
]
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"connections": [
|
| 1400 |
+
"user_aria",
|
| 1401 |
+
"event_black_kite"
|
| 1402 |
+
],
|
| 1403 |
+
"location": "Sector 9",
|
| 1404 |
+
"name": "Elin Das",
|
| 1405 |
+
"org": "Helios Labs",
|
| 1406 |
+
"user_id": "user_elin",
|
| 1407 |
+
"work_history": [
|
| 1408 |
+
"Helios Labs"
|
| 1409 |
+
]
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"connections": [
|
| 1413 |
+
"user_diya",
|
| 1414 |
+
"event_project_lantern"
|
| 1415 |
+
],
|
| 1416 |
+
"location": "Rivergate",
|
| 1417 |
+
"name": "Faris Noor",
|
| 1418 |
+
"org": "Tidewatch Ops",
|
| 1419 |
+
"user_id": "user_faris",
|
| 1420 |
+
"work_history": [
|
| 1421 |
+
"Tidewatch Ops"
|
| 1422 |
+
]
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"connections": [
|
| 1426 |
+
"user_jules",
|
| 1427 |
+
"event_silent_current"
|
| 1428 |
+
],
|
| 1429 |
+
"location": "Old Town",
|
| 1430 |
+
"name": "Gita Pradhan",
|
| 1431 |
+
"org": "Apex Dynamics",
|
| 1432 |
+
"user_id": "user_gita",
|
| 1433 |
+
"work_history": [
|
| 1434 |
+
"Apex Dynamics"
|
| 1435 |
+
]
|
| 1436 |
+
},
|
| 1437 |
+
{
|
| 1438 |
+
"connections": [
|
| 1439 |
+
"user_faris",
|
| 1440 |
+
"event_project_lantern"
|
| 1441 |
+
],
|
| 1442 |
+
"location": "Dockyard 17",
|
| 1443 |
+
"name": "Hiro Tan",
|
| 1444 |
+
"org": "Northbridge Logistics",
|
| 1445 |
+
"user_id": "user_hiro",
|
| 1446 |
+
"work_history": [
|
| 1447 |
+
"Northbridge Logistics"
|
| 1448 |
+
]
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"connections": [
|
| 1452 |
+
"user_bharat",
|
| 1453 |
+
"user_elin",
|
| 1454 |
+
"event_black_kite"
|
| 1455 |
+
],
|
| 1456 |
+
"location": "Rivergate",
|
| 1457 |
+
"name": "Ivy Kapoor",
|
| 1458 |
+
"org": "Kestrel Works",
|
| 1459 |
+
"user_id": "user_ivy",
|
| 1460 |
+
"work_history": [
|
| 1461 |
+
"Kestrel Works"
|
| 1462 |
+
]
|
| 1463 |
+
},
|
| 1464 |
+
{
|
| 1465 |
+
"connections": [
|
| 1466 |
+
"user_bharat"
|
| 1467 |
+
],
|
| 1468 |
+
"location": "Old Town",
|
| 1469 |
+
"name": "Jules Banerjee",
|
| 1470 |
+
"org": "Blueharbor Media",
|
| 1471 |
+
"user_id": "user_jules",
|
| 1472 |
+
"work_history": [
|
| 1473 |
+
"Blueharbor Media"
|
| 1474 |
+
]
|
| 1475 |
+
}
|
| 1476 |
+
]
|
| 1477 |
+
},
|
| 1478 |
+
"seed_file": "datasets/fixed_levels/seed_fixed_levels.json",
|
| 1479 |
+
"shared_config": "datasets/fixed_levels/shared_config_fixed_levels.json",
|
| 1480 |
+
"task_count": 15,
|
| 1481 |
+
"tasks": [
|
| 1482 |
+
{
|
| 1483 |
+
"answer": "user_ivy",
|
| 1484 |
+
"metadata": {
|
| 1485 |
+
"difficulty": "easy",
|
| 1486 |
+
"difficulty_level": 1,
|
| 1487 |
+
"question_id": "easy_01"
|
| 1488 |
+
},
|
| 1489 |
+
"question": "Which canonical user owns alias alias_orchidfox?",
|
| 1490 |
+
"supporting_edges": [
|
| 1491 |
+
{
|
| 1492 |
+
"confidence": 1.0,
|
| 1493 |
+
"dst": "user_ivy",
|
| 1494 |
+
"rel": "alias_of",
|
| 1495 |
+
"src": "alias_orchidfox"
|
| 1496 |
+
}
|
| 1497 |
+
],
|
| 1498 |
+
"task_id": "seed_task_0",
|
| 1499 |
+
"task_type": "identity_resolution"
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"answer": "org_northbridge_logistics",
|
| 1503 |
+
"metadata": {
|
| 1504 |
+
"difficulty": "easy",
|
| 1505 |
+
"difficulty_level": 1,
|
| 1506 |
+
"question_id": "easy_02"
|
| 1507 |
+
},
|
| 1508 |
+
"question": "Which organization does user_bharat work at?",
|
| 1509 |
+
"supporting_edges": [
|
| 1510 |
+
{
|
| 1511 |
+
"confidence": 1.0,
|
| 1512 |
+
"dst": "org_northbridge_logistics",
|
| 1513 |
+
"rel": "works_at",
|
| 1514 |
+
"src": "user_bharat"
|
| 1515 |
+
}
|
| 1516 |
+
],
|
| 1517 |
+
"task_id": "seed_task_1",
|
| 1518 |
+
"task_type": "entity_lookup"
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"answer": "user_bharat",
|
| 1522 |
+
"metadata": {
|
| 1523 |
+
"difficulty": "easy",
|
| 1524 |
+
"difficulty_level": 1,
|
| 1525 |
+
"question_id": "easy_03"
|
| 1526 |
+
},
|
| 1527 |
+
"question": "Who is directly connected to user_ivy in the logistics chain?",
|
| 1528 |
+
"supporting_edges": [
|
| 1529 |
+
{
|
| 1530 |
+
"confidence": 1.0,
|
| 1531 |
+
"dst": "user_bharat",
|
| 1532 |
+
"rel": "connected_to",
|
| 1533 |
+
"src": "user_ivy"
|
| 1534 |
+
}
|
| 1535 |
+
],
|
| 1536 |
+
"task_id": "seed_task_2",
|
| 1537 |
+
"task_type": "network_discovery"
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"answer": "event_project_lantern",
|
| 1541 |
+
"metadata": {
|
| 1542 |
+
"difficulty": "easy",
|
| 1543 |
+
"difficulty_level": 1,
|
| 1544 |
+
"question_id": "easy_04"
|
| 1545 |
+
},
|
| 1546 |
+
"question": "Which event is discussed in thread thr_supply_leak?",
|
| 1547 |
+
"supporting_edges": [
|
| 1548 |
+
{
|
| 1549 |
+
"confidence": 1.0,
|
| 1550 |
+
"dst": "event_project_lantern",
|
| 1551 |
+
"rel": "discusses",
|
| 1552 |
+
"src": "thr_supply_leak"
|
| 1553 |
+
}
|
| 1554 |
+
],
|
| 1555 |
+
"task_id": "seed_task_3",
|
| 1556 |
+
"task_type": "event_tracing"
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"answer": "loc_dockyard17",
|
| 1560 |
+
"metadata": {
|
| 1561 |
+
"difficulty": "easy",
|
| 1562 |
+
"difficulty_level": 1,
|
| 1563 |
+
"question_id": "easy_05"
|
| 1564 |
+
},
|
| 1565 |
+
"question": "Which location is referenced by post post_shift_roster?",
|
| 1566 |
+
"supporting_edges": [
|
| 1567 |
+
{
|
| 1568 |
+
"confidence": 1.0,
|
| 1569 |
+
"dst": "loc_dockyard17",
|
| 1570 |
+
"rel": "references",
|
| 1571 |
+
"src": "post_shift_roster"
|
| 1572 |
+
}
|
| 1573 |
+
],
|
| 1574 |
+
"task_id": "seed_task_4",
|
| 1575 |
+
"task_type": "location_trace"
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"answer": "org_blueharbor_media",
|
| 1579 |
+
"metadata": {
|
| 1580 |
+
"difficulty": "mid",
|
| 1581 |
+
"difficulty_level": 2,
|
| 1582 |
+
"question_id": "mid_01"
|
| 1583 |
+
},
|
| 1584 |
+
"question": "Alias alias_monsoonbyte belongs to which user and where does that user work? Return only the organization node id.",
|
| 1585 |
+
"supporting_edges": [
|
| 1586 |
+
{
|
| 1587 |
+
"confidence": 1.0,
|
| 1588 |
+
"dst": "user_diya",
|
| 1589 |
+
"rel": "alias_of",
|
| 1590 |
+
"src": "alias_monsoonbyte"
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"confidence": 1.0,
|
| 1594 |
+
"dst": "org_blueharbor_media",
|
| 1595 |
+
"rel": "works_at",
|
| 1596 |
+
"src": "user_diya"
|
| 1597 |
+
}
|
| 1598 |
+
],
|
| 1599 |
+
"task_id": "seed_task_5",
|
| 1600 |
+
"task_type": "identity_resolution"
|
| 1601 |
+
},
|
| 1602 |
+
{
|
| 1603 |
+
"answer": "user_diya",
|
| 1604 |
+
"metadata": {
|
| 1605 |
+
"difficulty": "mid",
|
| 1606 |
+
"difficulty_level": 2,
|
| 1607 |
+
"question_id": "mid_02"
|
| 1608 |
+
},
|
| 1609 |
+
"question": "Which user both authored thread thr_supply_leak and investigates event_project_lantern?",
|
| 1610 |
+
"supporting_edges": [
|
| 1611 |
+
{
|
| 1612 |
+
"confidence": 1.0,
|
| 1613 |
+
"dst": "thr_supply_leak",
|
| 1614 |
+
"rel": "authored_thread",
|
| 1615 |
+
"src": "user_diya"
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"confidence": 1.0,
|
| 1619 |
+
"dst": "event_project_lantern",
|
| 1620 |
+
"rel": "investigates",
|
| 1621 |
+
"src": "user_diya"
|
| 1622 |
+
}
|
| 1623 |
+
],
|
| 1624 |
+
"task_id": "seed_task_6",
|
| 1625 |
+
"task_type": "event_tracing"
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"answer": "org_northbridge_logistics",
|
| 1629 |
+
"metadata": {
|
| 1630 |
+
"difficulty": "mid",
|
| 1631 |
+
"difficulty_level": 2,
|
| 1632 |
+
"question_id": "mid_03"
|
| 1633 |
+
},
|
| 1634 |
+
"question": "Which organization operates in the location referenced by post_midnight_manifest?",
|
| 1635 |
+
"supporting_edges": [
|
| 1636 |
+
{
|
| 1637 |
+
"confidence": 1.0,
|
| 1638 |
+
"dst": "loc_dockyard17",
|
| 1639 |
+
"rel": "references",
|
| 1640 |
+
"src": "post_midnight_manifest"
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"confidence": 1.0,
|
| 1644 |
+
"dst": "loc_dockyard17",
|
| 1645 |
+
"rel": "operates_in",
|
| 1646 |
+
"src": "org_northbridge_logistics"
|
| 1647 |
+
}
|
| 1648 |
+
],
|
| 1649 |
+
"task_id": "seed_task_7",
|
| 1650 |
+
"task_type": "cross_platform_linking"
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"answer": "user_bharat",
|
| 1654 |
+
"metadata": {
|
| 1655 |
+
"difficulty": "mid",
|
| 1656 |
+
"difficulty_level": 2,
|
| 1657 |
+
"question_id": "mid_04"
|
| 1658 |
+
},
|
| 1659 |
+
"question": "user_ivy is directly connected to which collaborator on event_project_lantern?",
|
| 1660 |
+
"supporting_edges": [
|
| 1661 |
+
{
|
| 1662 |
+
"confidence": 1.0,
|
| 1663 |
+
"dst": "user_bharat",
|
| 1664 |
+
"rel": "connected_to",
|
| 1665 |
+
"src": "user_ivy"
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"confidence": 1.0,
|
| 1669 |
+
"dst": "event_project_lantern",
|
| 1670 |
+
"rel": "collaborates_on",
|
| 1671 |
+
"src": "user_bharat"
|
| 1672 |
+
}
|
| 1673 |
+
],
|
| 1674 |
+
"task_id": "seed_task_8",
|
| 1675 |
+
"task_type": "network_discovery"
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"answer": "user_hiro",
|
| 1679 |
+
"metadata": {
|
| 1680 |
+
"difficulty": "mid",
|
| 1681 |
+
"difficulty_level": 2,
|
| 1682 |
+
"question_id": "mid_05"
|
| 1683 |
+
},
|
| 1684 |
+
"question": "Which canonical user is behind alias_docksparrow and collaborates on event_project_lantern?",
|
| 1685 |
+
"supporting_edges": [
|
| 1686 |
+
{
|
| 1687 |
+
"confidence": 1.0,
|
| 1688 |
+
"dst": "user_hiro",
|
| 1689 |
+
"rel": "alias_of",
|
| 1690 |
+
"src": "alias_docksparrow"
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"confidence": 1.0,
|
| 1694 |
+
"dst": "event_project_lantern",
|
| 1695 |
+
"rel": "collaborates_on",
|
| 1696 |
+
"src": "user_hiro"
|
| 1697 |
+
}
|
| 1698 |
+
],
|
| 1699 |
+
"task_id": "seed_task_9",
|
| 1700 |
+
"task_type": "deanonymization"
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"answer": "user_bharat",
|
| 1704 |
+
"metadata": {
|
| 1705 |
+
"difficulty": "high",
|
| 1706 |
+
"difficulty_level": 3,
|
| 1707 |
+
"question_id": "high_01"
|
| 1708 |
+
},
|
| 1709 |
+
"question": "An alias authored post_midnight_manifest referencing loc_dockyard17; through a direct connection from that alias owner, which user collaborates on event_project_lantern?",
|
| 1710 |
+
"supporting_edges": [
|
| 1711 |
+
{
|
| 1712 |
+
"confidence": 1.0,
|
| 1713 |
+
"dst": "user_ivy",
|
| 1714 |
+
"rel": "alias_of",
|
| 1715 |
+
"src": "alias_orchidfox"
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"confidence": 1.0,
|
| 1719 |
+
"dst": "post_midnight_manifest",
|
| 1720 |
+
"rel": "authored_post",
|
| 1721 |
+
"src": "alias_orchidfox"
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"confidence": 1.0,
|
| 1725 |
+
"dst": "loc_dockyard17",
|
| 1726 |
+
"rel": "references",
|
| 1727 |
+
"src": "post_midnight_manifest"
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"confidence": 1.0,
|
| 1731 |
+
"dst": "user_bharat",
|
| 1732 |
+
"rel": "connected_to",
|
| 1733 |
+
"src": "user_ivy"
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"confidence": 1.0,
|
| 1737 |
+
"dst": "event_project_lantern",
|
| 1738 |
+
"rel": "collaborates_on",
|
| 1739 |
+
"src": "user_bharat"
|
| 1740 |
+
}
|
| 1741 |
+
],
|
| 1742 |
+
"task_id": "seed_task_10",
|
| 1743 |
+
"task_type": "convoluted_trace"
|
| 1744 |
+
},
|
| 1745 |
+
{
|
| 1746 |
+
"answer": "user_hiro",
|
| 1747 |
+
"metadata": {
|
| 1748 |
+
"difficulty": "high",
|
| 1749 |
+
"difficulty_level": 3,
|
| 1750 |
+
"question_id": "high_02"
|
| 1751 |
+
},
|
| 1752 |
+
"question": "Thread thr_supply_leak references org_northbridge_logistics. Identify the canonical user behind alias_docksparrow who works there and collaborates on event_project_lantern.",
|
| 1753 |
+
"supporting_edges": [
|
| 1754 |
+
{
|
| 1755 |
+
"confidence": 1.0,
|
| 1756 |
+
"dst": "org_northbridge_logistics",
|
| 1757 |
+
"rel": "references",
|
| 1758 |
+
"src": "thr_supply_leak"
|
| 1759 |
+
},
|
| 1760 |
+
{
|
| 1761 |
+
"confidence": 1.0,
|
| 1762 |
+
"dst": "user_hiro",
|
| 1763 |
+
"rel": "alias_of",
|
| 1764 |
+
"src": "alias_docksparrow"
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"confidence": 1.0,
|
| 1768 |
+
"dst": "org_northbridge_logistics",
|
| 1769 |
+
"rel": "works_at",
|
| 1770 |
+
"src": "user_hiro"
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"confidence": 1.0,
|
| 1774 |
+
"dst": "event_project_lantern",
|
| 1775 |
+
"rel": "collaborates_on",
|
| 1776 |
+
"src": "user_hiro"
|
| 1777 |
+
}
|
| 1778 |
+
],
|
| 1779 |
+
"task_id": "seed_task_11",
|
| 1780 |
+
"task_type": "convoluted_trace"
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"answer": "user_diya",
|
| 1784 |
+
"metadata": {
|
| 1785 |
+
"difficulty": "high",
|
| 1786 |
+
"difficulty_level": 3,
|
| 1787 |
+
"question_id": "high_03"
|
| 1788 |
+
},
|
| 1789 |
+
"question": "Cross-platform Black Kite linkage: alias_monsoonbyte authored post_drone_parts referencing event_black_kite. Which canonical user behind that alias is directly connected to the Kestrel Works collaborator on the same event?",
|
| 1790 |
+
"supporting_edges": [
|
| 1791 |
+
{
|
| 1792 |
+
"confidence": 1.0,
|
| 1793 |
+
"dst": "user_diya",
|
| 1794 |
+
"rel": "alias_of",
|
| 1795 |
+
"src": "alias_monsoonbyte"
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"confidence": 1.0,
|
| 1799 |
+
"dst": "post_drone_parts",
|
| 1800 |
+
"rel": "authored_post",
|
| 1801 |
+
"src": "alias_monsoonbyte"
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"confidence": 1.0,
|
| 1805 |
+
"dst": "event_black_kite",
|
| 1806 |
+
"rel": "references",
|
| 1807 |
+
"src": "post_drone_parts"
|
| 1808 |
+
},
|
| 1809 |
+
{
|
| 1810 |
+
"confidence": 1.0,
|
| 1811 |
+
"dst": "org_kestrel_works",
|
| 1812 |
+
"rel": "works_at",
|
| 1813 |
+
"src": "user_ivy"
|
| 1814 |
+
},
|
| 1815 |
+
{
|
| 1816 |
+
"confidence": 1.0,
|
| 1817 |
+
"dst": "event_black_kite",
|
| 1818 |
+
"rel": "collaborates_on",
|
| 1819 |
+
"src": "user_ivy"
|
| 1820 |
+
},
|
| 1821 |
+
{
|
| 1822 |
+
"confidence": 1.0,
|
| 1823 |
+
"dst": "user_ivy",
|
| 1824 |
+
"rel": "connected_to",
|
| 1825 |
+
"src": "user_diya"
|
| 1826 |
+
}
|
| 1827 |
+
],
|
| 1828 |
+
"task_id": "seed_task_12",
|
| 1829 |
+
"task_type": "convoluted_trace"
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"answer": "user_faris",
|
| 1833 |
+
"metadata": {
|
| 1834 |
+
"difficulty": "high",
|
| 1835 |
+
"difficulty_level": 3,
|
| 1836 |
+
"question_id": "high_04"
|
| 1837 |
+
},
|
| 1838 |
+
"question": "A sat-phone ping alias references loc_rivergate. Which canonical user behind alias_nightrelay works at an organization operating there and collaborates on event_project_lantern?",
|
| 1839 |
+
"supporting_edges": [
|
| 1840 |
+
{
|
| 1841 |
+
"confidence": 1.0,
|
| 1842 |
+
"dst": "user_faris",
|
| 1843 |
+
"rel": "alias_of",
|
| 1844 |
+
"src": "alias_nightrelay"
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"confidence": 1.0,
|
| 1848 |
+
"dst": "post_sat_phone_ping",
|
| 1849 |
+
"rel": "authored_post",
|
| 1850 |
+
"src": "alias_nightrelay"
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"confidence": 1.0,
|
| 1854 |
+
"dst": "loc_rivergate",
|
| 1855 |
+
"rel": "references",
|
| 1856 |
+
"src": "post_sat_phone_ping"
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"confidence": 1.0,
|
| 1860 |
+
"dst": "org_tidewatch_ops",
|
| 1861 |
+
"rel": "works_at",
|
| 1862 |
+
"src": "user_faris"
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"confidence": 1.0,
|
| 1866 |
+
"dst": "loc_rivergate",
|
| 1867 |
+
"rel": "operates_in",
|
| 1868 |
+
"src": "org_tidewatch_ops"
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"confidence": 1.0,
|
| 1872 |
+
"dst": "event_project_lantern",
|
| 1873 |
+
"rel": "collaborates_on",
|
| 1874 |
+
"src": "user_faris"
|
| 1875 |
+
}
|
| 1876 |
+
],
|
| 1877 |
+
"task_id": "seed_task_13",
|
| 1878 |
+
"task_type": "convoluted_trace"
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"answer": "user_ivy",
|
| 1882 |
+
"metadata": {
|
| 1883 |
+
"difficulty": "high",
|
| 1884 |
+
"difficulty_level": 3,
|
| 1885 |
+
"question_id": "high_05"
|
| 1886 |
+
},
|
| 1887 |
+
"question": "From thread thr_port_audit discussing event_black_kite and referencing org_kestrel_works, identify the canonical user whose alias authored post_midnight_manifest and who collaborates on event_black_kite.",
|
| 1888 |
+
"supporting_edges": [
|
| 1889 |
+
{
|
| 1890 |
+
"confidence": 1.0,
|
| 1891 |
+
"dst": "event_black_kite",
|
| 1892 |
+
"rel": "discusses",
|
| 1893 |
+
"src": "thr_port_audit"
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"confidence": 1.0,
|
| 1897 |
+
"dst": "org_kestrel_works",
|
| 1898 |
+
"rel": "references",
|
| 1899 |
+
"src": "thr_port_audit"
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"confidence": 1.0,
|
| 1903 |
+
"dst": "user_ivy",
|
| 1904 |
+
"rel": "alias_of",
|
| 1905 |
+
"src": "alias_orchidfox"
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"confidence": 1.0,
|
| 1909 |
+
"dst": "post_midnight_manifest",
|
| 1910 |
+
"rel": "authored_post",
|
| 1911 |
+
"src": "alias_orchidfox"
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"confidence": 1.0,
|
| 1915 |
+
"dst": "org_kestrel_works",
|
| 1916 |
+
"rel": "works_at",
|
| 1917 |
+
"src": "user_ivy"
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"confidence": 1.0,
|
| 1921 |
+
"dst": "event_black_kite",
|
| 1922 |
+
"rel": "collaborates_on",
|
| 1923 |
+
"src": "user_ivy"
|
| 1924 |
+
}
|
| 1925 |
+
],
|
| 1926 |
+
"task_id": "seed_task_14",
|
| 1927 |
+
"task_type": "convoluted_trace"
|
| 1928 |
+
}
|
| 1929 |
+
]
|
| 1930 |
+
}
|
datasets/fixed_levels/fixed_graph_questions.json
ADDED
|
@@ -0,0 +1,1172 @@
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| 1 |
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| 2 |
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| 130 |
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| 190 |
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| 192 |
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| 196 |
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| 214 |
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| 216 |
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|
| 218 |
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{
|
| 699 |
+
"attrs": {
|
| 700 |
+
"channel": "microblog"
|
| 701 |
+
},
|
| 702 |
+
"node_id": "post_sat_phone_ping",
|
| 703 |
+
"node_type": "post"
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"attrs": {
|
| 707 |
+
"channel": "microblog"
|
| 708 |
+
},
|
| 709 |
+
"node_id": "post_drone_parts",
|
| 710 |
+
"node_type": "post"
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"attrs": {
|
| 714 |
+
"channel": "microblog"
|
| 715 |
+
},
|
| 716 |
+
"node_id": "post_relay_schedule",
|
| 717 |
+
"node_type": "post"
|
| 718 |
+
}
|
| 719 |
+
]
|
| 720 |
+
},
|
| 721 |
+
"question_count": 15,
|
| 722 |
+
"questions": [
|
| 723 |
+
{
|
| 724 |
+
"answer": "user_ivy",
|
| 725 |
+
"metadata": {
|
| 726 |
+
"difficulty": "easy",
|
| 727 |
+
"difficulty_level": 1,
|
| 728 |
+
"question_id": "easy_01"
|
| 729 |
+
},
|
| 730 |
+
"question": "Which canonical user owns alias alias_orchidfox?",
|
| 731 |
+
"supporting_edges": [
|
| 732 |
+
{
|
| 733 |
+
"confidence": 1.0,
|
| 734 |
+
"dst": "user_ivy",
|
| 735 |
+
"rel": "alias_of",
|
| 736 |
+
"src": "alias_orchidfox"
|
| 737 |
+
}
|
| 738 |
+
],
|
| 739 |
+
"task_id": "fixed_task_00",
|
| 740 |
+
"task_type": "identity_resolution"
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"answer": "org_northbridge_logistics",
|
| 744 |
+
"metadata": {
|
| 745 |
+
"difficulty": "easy",
|
| 746 |
+
"difficulty_level": 1,
|
| 747 |
+
"question_id": "easy_02"
|
| 748 |
+
},
|
| 749 |
+
"question": "Which organization does user_bharat work at?",
|
| 750 |
+
"supporting_edges": [
|
| 751 |
+
{
|
| 752 |
+
"confidence": 1.0,
|
| 753 |
+
"dst": "org_northbridge_logistics",
|
| 754 |
+
"rel": "works_at",
|
| 755 |
+
"src": "user_bharat"
|
| 756 |
+
}
|
| 757 |
+
],
|
| 758 |
+
"task_id": "fixed_task_01",
|
| 759 |
+
"task_type": "entity_lookup"
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"answer": "user_bharat",
|
| 763 |
+
"metadata": {
|
| 764 |
+
"difficulty": "easy",
|
| 765 |
+
"difficulty_level": 1,
|
| 766 |
+
"question_id": "easy_03"
|
| 767 |
+
},
|
| 768 |
+
"question": "Who is directly connected to user_ivy in the logistics chain?",
|
| 769 |
+
"supporting_edges": [
|
| 770 |
+
{
|
| 771 |
+
"confidence": 1.0,
|
| 772 |
+
"dst": "user_bharat",
|
| 773 |
+
"rel": "connected_to",
|
| 774 |
+
"src": "user_ivy"
|
| 775 |
+
}
|
| 776 |
+
],
|
| 777 |
+
"task_id": "fixed_task_02",
|
| 778 |
+
"task_type": "network_discovery"
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"answer": "event_project_lantern",
|
| 782 |
+
"metadata": {
|
| 783 |
+
"difficulty": "easy",
|
| 784 |
+
"difficulty_level": 1,
|
| 785 |
+
"question_id": "easy_04"
|
| 786 |
+
},
|
| 787 |
+
"question": "Which event is discussed in thread thr_supply_leak?",
|
| 788 |
+
"supporting_edges": [
|
| 789 |
+
{
|
| 790 |
+
"confidence": 1.0,
|
| 791 |
+
"dst": "event_project_lantern",
|
| 792 |
+
"rel": "discusses",
|
| 793 |
+
"src": "thr_supply_leak"
|
| 794 |
+
}
|
| 795 |
+
],
|
| 796 |
+
"task_id": "fixed_task_03",
|
| 797 |
+
"task_type": "event_tracing"
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"answer": "loc_dockyard17",
|
| 801 |
+
"metadata": {
|
| 802 |
+
"difficulty": "easy",
|
| 803 |
+
"difficulty_level": 1,
|
| 804 |
+
"question_id": "easy_05"
|
| 805 |
+
},
|
| 806 |
+
"question": "Which location is referenced by post post_shift_roster?",
|
| 807 |
+
"supporting_edges": [
|
| 808 |
+
{
|
| 809 |
+
"confidence": 1.0,
|
| 810 |
+
"dst": "loc_dockyard17",
|
| 811 |
+
"rel": "references",
|
| 812 |
+
"src": "post_shift_roster"
|
| 813 |
+
}
|
| 814 |
+
],
|
| 815 |
+
"task_id": "fixed_task_04",
|
| 816 |
+
"task_type": "location_trace"
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"answer": "org_blueharbor_media",
|
| 820 |
+
"metadata": {
|
| 821 |
+
"difficulty": "mid",
|
| 822 |
+
"difficulty_level": 2,
|
| 823 |
+
"question_id": "mid_01"
|
| 824 |
+
},
|
| 825 |
+
"question": "Alias alias_monsoonbyte belongs to which user and where does that user work? Return only the organization node id.",
|
| 826 |
+
"supporting_edges": [
|
| 827 |
+
{
|
| 828 |
+
"confidence": 1.0,
|
| 829 |
+
"dst": "user_diya",
|
| 830 |
+
"rel": "alias_of",
|
| 831 |
+
"src": "alias_monsoonbyte"
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"confidence": 1.0,
|
| 835 |
+
"dst": "org_blueharbor_media",
|
| 836 |
+
"rel": "works_at",
|
| 837 |
+
"src": "user_diya"
|
| 838 |
+
}
|
| 839 |
+
],
|
| 840 |
+
"task_id": "fixed_task_05",
|
| 841 |
+
"task_type": "identity_resolution"
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"answer": "user_diya",
|
| 845 |
+
"metadata": {
|
| 846 |
+
"difficulty": "mid",
|
| 847 |
+
"difficulty_level": 2,
|
| 848 |
+
"question_id": "mid_02"
|
| 849 |
+
},
|
| 850 |
+
"question": "Which user both authored thread thr_supply_leak and investigates event_project_lantern?",
|
| 851 |
+
"supporting_edges": [
|
| 852 |
+
{
|
| 853 |
+
"confidence": 1.0,
|
| 854 |
+
"dst": "thr_supply_leak",
|
| 855 |
+
"rel": "authored_thread",
|
| 856 |
+
"src": "user_diya"
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"confidence": 1.0,
|
| 860 |
+
"dst": "event_project_lantern",
|
| 861 |
+
"rel": "investigates",
|
| 862 |
+
"src": "user_diya"
|
| 863 |
+
}
|
| 864 |
+
],
|
| 865 |
+
"task_id": "fixed_task_06",
|
| 866 |
+
"task_type": "event_tracing"
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"answer": "org_northbridge_logistics",
|
| 870 |
+
"metadata": {
|
| 871 |
+
"difficulty": "mid",
|
| 872 |
+
"difficulty_level": 2,
|
| 873 |
+
"question_id": "mid_03"
|
| 874 |
+
},
|
| 875 |
+
"question": "Which organization operates in the location referenced by post_midnight_manifest?",
|
| 876 |
+
"supporting_edges": [
|
| 877 |
+
{
|
| 878 |
+
"confidence": 1.0,
|
| 879 |
+
"dst": "loc_dockyard17",
|
| 880 |
+
"rel": "references",
|
| 881 |
+
"src": "post_midnight_manifest"
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"confidence": 1.0,
|
| 885 |
+
"dst": "loc_dockyard17",
|
| 886 |
+
"rel": "operates_in",
|
| 887 |
+
"src": "org_northbridge_logistics"
|
| 888 |
+
}
|
| 889 |
+
],
|
| 890 |
+
"task_id": "fixed_task_07",
|
| 891 |
+
"task_type": "cross_platform_linking"
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"answer": "user_bharat",
|
| 895 |
+
"metadata": {
|
| 896 |
+
"difficulty": "mid",
|
| 897 |
+
"difficulty_level": 2,
|
| 898 |
+
"question_id": "mid_04"
|
| 899 |
+
},
|
| 900 |
+
"question": "user_ivy is directly connected to which collaborator on event_project_lantern?",
|
| 901 |
+
"supporting_edges": [
|
| 902 |
+
{
|
| 903 |
+
"confidence": 1.0,
|
| 904 |
+
"dst": "user_bharat",
|
| 905 |
+
"rel": "connected_to",
|
| 906 |
+
"src": "user_ivy"
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"confidence": 1.0,
|
| 910 |
+
"dst": "event_project_lantern",
|
| 911 |
+
"rel": "collaborates_on",
|
| 912 |
+
"src": "user_bharat"
|
| 913 |
+
}
|
| 914 |
+
],
|
| 915 |
+
"task_id": "fixed_task_08",
|
| 916 |
+
"task_type": "network_discovery"
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"answer": "user_hiro",
|
| 920 |
+
"metadata": {
|
| 921 |
+
"difficulty": "mid",
|
| 922 |
+
"difficulty_level": 2,
|
| 923 |
+
"question_id": "mid_05"
|
| 924 |
+
},
|
| 925 |
+
"question": "Which canonical user is behind alias_docksparrow and collaborates on event_project_lantern?",
|
| 926 |
+
"supporting_edges": [
|
| 927 |
+
{
|
| 928 |
+
"confidence": 1.0,
|
| 929 |
+
"dst": "user_hiro",
|
| 930 |
+
"rel": "alias_of",
|
| 931 |
+
"src": "alias_docksparrow"
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"confidence": 1.0,
|
| 935 |
+
"dst": "event_project_lantern",
|
| 936 |
+
"rel": "collaborates_on",
|
| 937 |
+
"src": "user_hiro"
|
| 938 |
+
}
|
| 939 |
+
],
|
| 940 |
+
"task_id": "fixed_task_09",
|
| 941 |
+
"task_type": "deanonymization"
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"answer": "user_bharat",
|
| 945 |
+
"metadata": {
|
| 946 |
+
"difficulty": "high",
|
| 947 |
+
"difficulty_level": 3,
|
| 948 |
+
"question_id": "high_01"
|
| 949 |
+
},
|
| 950 |
+
"question": "An alias authored post_midnight_manifest referencing loc_dockyard17; through a direct connection from that alias owner, which user collaborates on event_project_lantern?",
|
| 951 |
+
"supporting_edges": [
|
| 952 |
+
{
|
| 953 |
+
"confidence": 1.0,
|
| 954 |
+
"dst": "user_ivy",
|
| 955 |
+
"rel": "alias_of",
|
| 956 |
+
"src": "alias_orchidfox"
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"confidence": 1.0,
|
| 960 |
+
"dst": "post_midnight_manifest",
|
| 961 |
+
"rel": "authored_post",
|
| 962 |
+
"src": "alias_orchidfox"
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"confidence": 1.0,
|
| 966 |
+
"dst": "loc_dockyard17",
|
| 967 |
+
"rel": "references",
|
| 968 |
+
"src": "post_midnight_manifest"
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"confidence": 1.0,
|
| 972 |
+
"dst": "user_bharat",
|
| 973 |
+
"rel": "connected_to",
|
| 974 |
+
"src": "user_ivy"
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"confidence": 1.0,
|
| 978 |
+
"dst": "event_project_lantern",
|
| 979 |
+
"rel": "collaborates_on",
|
| 980 |
+
"src": "user_bharat"
|
| 981 |
+
}
|
| 982 |
+
],
|
| 983 |
+
"task_id": "fixed_task_10",
|
| 984 |
+
"task_type": "convoluted_trace"
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"answer": "user_hiro",
|
| 988 |
+
"metadata": {
|
| 989 |
+
"difficulty": "high",
|
| 990 |
+
"difficulty_level": 3,
|
| 991 |
+
"question_id": "high_02"
|
| 992 |
+
},
|
| 993 |
+
"question": "Thread thr_supply_leak references org_northbridge_logistics. Identify the canonical user behind alias_docksparrow who works there and collaborates on event_project_lantern.",
|
| 994 |
+
"supporting_edges": [
|
| 995 |
+
{
|
| 996 |
+
"confidence": 1.0,
|
| 997 |
+
"dst": "org_northbridge_logistics",
|
| 998 |
+
"rel": "references",
|
| 999 |
+
"src": "thr_supply_leak"
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"confidence": 1.0,
|
| 1003 |
+
"dst": "user_hiro",
|
| 1004 |
+
"rel": "alias_of",
|
| 1005 |
+
"src": "alias_docksparrow"
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"confidence": 1.0,
|
| 1009 |
+
"dst": "org_northbridge_logistics",
|
| 1010 |
+
"rel": "works_at",
|
| 1011 |
+
"src": "user_hiro"
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"confidence": 1.0,
|
| 1015 |
+
"dst": "event_project_lantern",
|
| 1016 |
+
"rel": "collaborates_on",
|
| 1017 |
+
"src": "user_hiro"
|
| 1018 |
+
}
|
| 1019 |
+
],
|
| 1020 |
+
"task_id": "fixed_task_11",
|
| 1021 |
+
"task_type": "convoluted_trace"
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"answer": "user_diya",
|
| 1025 |
+
"metadata": {
|
| 1026 |
+
"difficulty": "high",
|
| 1027 |
+
"difficulty_level": 3,
|
| 1028 |
+
"question_id": "high_03"
|
| 1029 |
+
},
|
| 1030 |
+
"question": "Cross-platform Black Kite linkage: alias_monsoonbyte authored post_drone_parts referencing event_black_kite. Which canonical user behind that alias is directly connected to the Kestrel Works collaborator on the same event?",
|
| 1031 |
+
"supporting_edges": [
|
| 1032 |
+
{
|
| 1033 |
+
"confidence": 1.0,
|
| 1034 |
+
"dst": "user_diya",
|
| 1035 |
+
"rel": "alias_of",
|
| 1036 |
+
"src": "alias_monsoonbyte"
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"confidence": 1.0,
|
| 1040 |
+
"dst": "post_drone_parts",
|
| 1041 |
+
"rel": "authored_post",
|
| 1042 |
+
"src": "alias_monsoonbyte"
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"confidence": 1.0,
|
| 1046 |
+
"dst": "event_black_kite",
|
| 1047 |
+
"rel": "references",
|
| 1048 |
+
"src": "post_drone_parts"
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"confidence": 1.0,
|
| 1052 |
+
"dst": "org_kestrel_works",
|
| 1053 |
+
"rel": "works_at",
|
| 1054 |
+
"src": "user_ivy"
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"confidence": 1.0,
|
| 1058 |
+
"dst": "event_black_kite",
|
| 1059 |
+
"rel": "collaborates_on",
|
| 1060 |
+
"src": "user_ivy"
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"confidence": 1.0,
|
| 1064 |
+
"dst": "user_ivy",
|
| 1065 |
+
"rel": "connected_to",
|
| 1066 |
+
"src": "user_diya"
|
| 1067 |
+
}
|
| 1068 |
+
],
|
| 1069 |
+
"task_id": "fixed_task_12",
|
| 1070 |
+
"task_type": "convoluted_trace"
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"answer": "user_faris",
|
| 1074 |
+
"metadata": {
|
| 1075 |
+
"difficulty": "high",
|
| 1076 |
+
"difficulty_level": 3,
|
| 1077 |
+
"question_id": "high_04"
|
| 1078 |
+
},
|
| 1079 |
+
"question": "A sat-phone ping alias references loc_rivergate. Which canonical user behind alias_nightrelay works at an organization operating there and collaborates on event_project_lantern?",
|
| 1080 |
+
"supporting_edges": [
|
| 1081 |
+
{
|
| 1082 |
+
"confidence": 1.0,
|
| 1083 |
+
"dst": "user_faris",
|
| 1084 |
+
"rel": "alias_of",
|
| 1085 |
+
"src": "alias_nightrelay"
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"confidence": 1.0,
|
| 1089 |
+
"dst": "post_sat_phone_ping",
|
| 1090 |
+
"rel": "authored_post",
|
| 1091 |
+
"src": "alias_nightrelay"
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"confidence": 1.0,
|
| 1095 |
+
"dst": "loc_rivergate",
|
| 1096 |
+
"rel": "references",
|
| 1097 |
+
"src": "post_sat_phone_ping"
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"confidence": 1.0,
|
| 1101 |
+
"dst": "org_tidewatch_ops",
|
| 1102 |
+
"rel": "works_at",
|
| 1103 |
+
"src": "user_faris"
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"confidence": 1.0,
|
| 1107 |
+
"dst": "loc_rivergate",
|
| 1108 |
+
"rel": "operates_in",
|
| 1109 |
+
"src": "org_tidewatch_ops"
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"confidence": 1.0,
|
| 1113 |
+
"dst": "event_project_lantern",
|
| 1114 |
+
"rel": "collaborates_on",
|
| 1115 |
+
"src": "user_faris"
|
| 1116 |
+
}
|
| 1117 |
+
],
|
| 1118 |
+
"task_id": "fixed_task_13",
|
| 1119 |
+
"task_type": "convoluted_trace"
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"answer": "user_ivy",
|
| 1123 |
+
"metadata": {
|
| 1124 |
+
"difficulty": "high",
|
| 1125 |
+
"difficulty_level": 3,
|
| 1126 |
+
"question_id": "high_05"
|
| 1127 |
+
},
|
| 1128 |
+
"question": "From thread thr_port_audit discussing event_black_kite and referencing org_kestrel_works, identify the canonical user whose alias authored post_midnight_manifest and who collaborates on event_black_kite.",
|
| 1129 |
+
"supporting_edges": [
|
| 1130 |
+
{
|
| 1131 |
+
"confidence": 1.0,
|
| 1132 |
+
"dst": "event_black_kite",
|
| 1133 |
+
"rel": "discusses",
|
| 1134 |
+
"src": "thr_port_audit"
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"confidence": 1.0,
|
| 1138 |
+
"dst": "org_kestrel_works",
|
| 1139 |
+
"rel": "references",
|
| 1140 |
+
"src": "thr_port_audit"
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"confidence": 1.0,
|
| 1144 |
+
"dst": "user_ivy",
|
| 1145 |
+
"rel": "alias_of",
|
| 1146 |
+
"src": "alias_orchidfox"
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"confidence": 1.0,
|
| 1150 |
+
"dst": "post_midnight_manifest",
|
| 1151 |
+
"rel": "authored_post",
|
| 1152 |
+
"src": "alias_orchidfox"
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"confidence": 1.0,
|
| 1156 |
+
"dst": "org_kestrel_works",
|
| 1157 |
+
"rel": "works_at",
|
| 1158 |
+
"src": "user_ivy"
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"confidence": 1.0,
|
| 1162 |
+
"dst": "event_black_kite",
|
| 1163 |
+
"rel": "collaborates_on",
|
| 1164 |
+
"src": "user_ivy"
|
| 1165 |
+
}
|
| 1166 |
+
],
|
| 1167 |
+
"task_id": "fixed_task_14",
|
| 1168 |
+
"task_type": "convoluted_trace"
|
| 1169 |
+
}
|
| 1170 |
+
],
|
| 1171 |
+
"source_seed": "datasets/fixed_levels/seed_fixed_levels.json"
|
| 1172 |
+
}
|
datasets/fixed_levels/leaderboard_fixed_levels.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"config": {
|
| 4 |
+
"max_agents": 3,
|
| 5 |
+
"max_breadth": 2,
|
| 6 |
+
"max_depth": 2,
|
| 7 |
+
"max_steps": 20,
|
| 8 |
+
"max_width": 2,
|
| 9 |
+
"seed": 2026,
|
| 10 |
+
"seeded_questions": 15,
|
| 11 |
+
"swarm_enabled": true
|
| 12 |
+
},
|
| 13 |
+
"created_at": "2026-04-01T18:48:39+00:00",
|
| 14 |
+
"episodes": 15,
|
| 15 |
+
"metrics": {
|
| 16 |
+
"avg_compactness_reward": 0.0,
|
| 17 |
+
"avg_connectivity_gain_reward": 0.16666666666666666,
|
| 18 |
+
"avg_connectivity_reward": 0.16999999999999998,
|
| 19 |
+
"avg_diversity_reward": 0.1157777777777778,
|
| 20 |
+
"avg_entity_informativeness_reward": -0.08858065677817137,
|
| 21 |
+
"avg_format_reward": 0.14999999999999997,
|
| 22 |
+
"avg_graph_f1": 0.8492063492063492,
|
| 23 |
+
"avg_knowledge_carrier_reward": 0.5,
|
| 24 |
+
"avg_knowledge_indexing_reward": 0.052000000000000005,
|
| 25 |
+
"avg_relation_informativeness_reward": 0.07135858524047924,
|
| 26 |
+
"avg_reward": 4.197526826881651,
|
| 27 |
+
"avg_soft_shaping_reward": 0.24999999999999994,
|
| 28 |
+
"avg_spawn_count": 4.0,
|
| 29 |
+
"avg_spawn_critical_steps": 6.0,
|
| 30 |
+
"avg_steps_to_solution": 9.0,
|
| 31 |
+
"deanonymization_accuracy": 1.0,
|
| 32 |
+
"leaderboard_score": 0.8543934355282199,
|
| 33 |
+
"retrieval_signal": 0.6932,
|
| 34 |
+
"spawn_completion_rate": 1.0,
|
| 35 |
+
"spawn_signal": 0.6666666666666666,
|
| 36 |
+
"structural_signal": 0.5730889190257948,
|
| 37 |
+
"task_success_rate": 1.0,
|
| 38 |
+
"tool_efficiency": 0.5
|
| 39 |
+
},
|
| 40 |
+
"run_id": "run_0001",
|
| 41 |
+
"run_name": "fixed_levels_qwen_swarm"
|
| 42 |
+
}
|
| 43 |
+
]
|
datasets/fixed_levels/qwen_swarm_benchmark_fixed_levels.json
ADDED
|
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dashboard": "datasets/fixed_levels/dashboard_fixed_levels.html",
|
| 3 |
+
"record": {
|
| 4 |
+
"config": {
|
| 5 |
+
"max_agents": 3,
|
| 6 |
+
"max_breadth": 2,
|
| 7 |
+
"max_depth": 2,
|
| 8 |
+
"max_steps": 20,
|
| 9 |
+
"max_width": 2,
|
| 10 |
+
"seed": 2026,
|
| 11 |
+
"seeded_questions": 15,
|
| 12 |
+
"swarm_enabled": true
|
| 13 |
+
},
|
| 14 |
+
"created_at": "2026-04-01T18:48:39+00:00",
|
| 15 |
+
"episodes": 15,
|
| 16 |
+
"metrics": {
|
| 17 |
+
"avg_compactness_reward": 0.0,
|
| 18 |
+
"avg_connectivity_gain_reward": 0.16666666666666666,
|
| 19 |
+
"avg_connectivity_reward": 0.16999999999999998,
|
| 20 |
+
"avg_diversity_reward": 0.1157777777777778,
|
| 21 |
+
"avg_entity_informativeness_reward": -0.08858065677817137,
|
| 22 |
+
"avg_format_reward": 0.14999999999999997,
|
| 23 |
+
"avg_graph_f1": 0.8492063492063492,
|
| 24 |
+
"avg_knowledge_carrier_reward": 0.5,
|
| 25 |
+
"avg_knowledge_indexing_reward": 0.052000000000000005,
|
| 26 |
+
"avg_relation_informativeness_reward": 0.07135858524047924,
|
| 27 |
+
"avg_reward": 4.197526826881651,
|
| 28 |
+
"avg_soft_shaping_reward": 0.24999999999999994,
|
| 29 |
+
"avg_spawn_count": 4.0,
|
| 30 |
+
"avg_spawn_critical_steps": 6.0,
|
| 31 |
+
"avg_steps_to_solution": 9.0,
|
| 32 |
+
"deanonymization_accuracy": 1.0,
|
| 33 |
+
"leaderboard_score": 0.8543934355282199,
|
| 34 |
+
"retrieval_signal": 0.6932,
|
| 35 |
+
"spawn_completion_rate": 1.0,
|
| 36 |
+
"spawn_signal": 0.6666666666666666,
|
| 37 |
+
"structural_signal": 0.5730889190257948,
|
| 38 |
+
"task_success_rate": 1.0,
|
| 39 |
+
"tool_efficiency": 0.5
|
| 40 |
+
},
|
| 41 |
+
"run_id": "run_0001",
|
| 42 |
+
"run_name": "fixed_levels_qwen_swarm"
|
| 43 |
+
},
|
| 44 |
+
"summary": {
|
| 45 |
+
"avg_compactness_reward": 0.0,
|
| 46 |
+
"avg_connectivity_gain_reward": 0.16666666666666666,
|
| 47 |
+
"avg_connectivity_reward": 0.16999999999999998,
|
| 48 |
+
"avg_diversity_reward": 0.1157777777777778,
|
| 49 |
+
"avg_entity_informativeness_reward": -0.08858065677817137,
|
| 50 |
+
"avg_format_reward": 0.14999999999999997,
|
| 51 |
+
"avg_graph_f1": 0.8492063492063492,
|
| 52 |
+
"avg_knowledge_carrier_reward": 0.5,
|
| 53 |
+
"avg_knowledge_indexing_reward": 0.052000000000000005,
|
| 54 |
+
"avg_relation_informativeness_reward": 0.07135858524047924,
|
| 55 |
+
"avg_reward": 4.197526826881651,
|
| 56 |
+
"avg_soft_shaping_reward": 0.24999999999999994,
|
| 57 |
+
"avg_spawn_count": 4.0,
|
| 58 |
+
"avg_spawn_critical_steps": 6.0,
|
| 59 |
+
"avg_steps_to_solution": 9.0,
|
| 60 |
+
"deanonymization_accuracy": 1.0,
|
| 61 |
+
"leaderboard_score": 0.8543934355282199,
|
| 62 |
+
"retrieval_signal": 0.6932,
|
| 63 |
+
"spawn_completion_rate": 1.0,
|
| 64 |
+
"spawn_signal": 0.6666666666666666,
|
| 65 |
+
"structural_signal": 0.5730889190257948,
|
| 66 |
+
"task_success_rate": 1.0,
|
| 67 |
+
"tool_efficiency": 0.5
|
| 68 |
+
}
|
| 69 |
+
}
|
datasets/fixed_levels/qwen_swarm_eval_by_difficulty.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"by_difficulty": {
|
| 3 |
+
"easy": {
|
| 4 |
+
"avg_graph_f1": 1.0,
|
| 5 |
+
"avg_reward": 3.610490808845623,
|
| 6 |
+
"avg_steps": 9.0,
|
| 7 |
+
"avg_tool_calls": 4.0,
|
| 8 |
+
"episodes": 5,
|
| 9 |
+
"task_success_rate": 1.0
|
| 10 |
+
},
|
| 11 |
+
"high": {
|
| 12 |
+
"avg_graph_f1": 0.5476190476190477,
|
| 13 |
+
"avg_reward": 4.207102815893519,
|
| 14 |
+
"avg_steps": 9.0,
|
| 15 |
+
"avg_tool_calls": 4.0,
|
| 16 |
+
"episodes": 5,
|
| 17 |
+
"task_success_rate": 1.0
|
| 18 |
+
},
|
| 19 |
+
"mid": {
|
| 20 |
+
"avg_graph_f1": 1.0,
|
| 21 |
+
"avg_reward": 4.822687547070801,
|
| 22 |
+
"avg_steps": 9.0,
|
| 23 |
+
"avg_tool_calls": 4.0,
|
| 24 |
+
"episodes": 5,
|
| 25 |
+
"task_success_rate": 1.0
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"overall": {
|
| 29 |
+
"avg_compactness_reward": 0.0,
|
| 30 |
+
"avg_connectivity_gain_reward": 0.16666666666666666,
|
| 31 |
+
"avg_connectivity_reward": 0.16999999999999998,
|
| 32 |
+
"avg_diversity_reward": 0.1157777777777778,
|
| 33 |
+
"avg_entity_informativeness_reward": -0.07289878447762359,
|
| 34 |
+
"avg_format_reward": 0.14999999999999997,
|
| 35 |
+
"avg_graph_f1": 0.8492063492063492,
|
| 36 |
+
"avg_knowledge_carrier_reward": 0.5,
|
| 37 |
+
"avg_knowledge_indexing_reward": 0.052000000000000005,
|
| 38 |
+
"avg_relation_informativeness_reward": 0.07157694332826091,
|
| 39 |
+
"avg_reward": 4.213427057269981,
|
| 40 |
+
"avg_soft_shaping_reward": 0.24999999999999994,
|
| 41 |
+
"avg_spawn_count": 4.0,
|
| 42 |
+
"avg_spawn_critical_steps": 6.0,
|
| 43 |
+
"avg_steps_to_solution": 9.0,
|
| 44 |
+
"deanonymization_accuracy": 1.0,
|
| 45 |
+
"leaderboard_score": 0.8546911504342771,
|
| 46 |
+
"retrieval_signal": 0.6932,
|
| 47 |
+
"spawn_completion_rate": 1.0,
|
| 48 |
+
"spawn_signal": 0.6666666666666666,
|
| 49 |
+
"structural_signal": 0.5762689651034608,
|
| 50 |
+
"task_success_rate": 1.0,
|
| 51 |
+
"tool_efficiency": 0.5
|
| 52 |
+
}
|
| 53 |
+
}
|
datasets/fixed_levels/qwen_swarm_eval_fixed_levels.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"avg_compactness_reward": 0.0,
|
| 3 |
+
"avg_connectivity_gain_reward": 0.16666666666666666,
|
| 4 |
+
"avg_connectivity_reward": 0.16999999999999998,
|
| 5 |
+
"avg_diversity_reward": 0.1157777777777778,
|
| 6 |
+
"avg_entity_informativeness_reward": -0.02824631570420193,
|
| 7 |
+
"avg_format_reward": 0.14999999999999997,
|
| 8 |
+
"avg_graph_f1": 0.8492063492063492,
|
| 9 |
+
"avg_knowledge_carrier_reward": 0.5,
|
| 10 |
+
"avg_knowledge_indexing_reward": 0.07400000000000001,
|
| 11 |
+
"avg_relation_informativeness_reward": 0.06905976285357758,
|
| 12 |
+
"avg_reward": 4.285384567790942,
|
| 13 |
+
"avg_soft_shaping_reward": 0.24999999999999994,
|
| 14 |
+
"avg_spawn_count": 4.0,
|
| 15 |
+
"avg_spawn_critical_steps": 6.0,
|
| 16 |
+
"avg_steps_to_solution": 9.0,
|
| 17 |
+
"deanonymization_accuracy": 1.0,
|
| 18 |
+
"leaderboard_score": 0.8565775118852701,
|
| 19 |
+
"retrieval_signal": 0.7009000000000001,
|
| 20 |
+
"spawn_completion_rate": 1.0,
|
| 21 |
+
"spawn_signal": 0.6666666666666666,
|
| 22 |
+
"structural_signal": 0.5846960227632085,
|
| 23 |
+
"task_success_rate": 1.0,
|
| 24 |
+
"tool_efficiency": 0.5
|
| 25 |
+
}
|
datasets/fixed_levels/seed_fixed_levels.json
ADDED
|
@@ -0,0 +1,1113 @@
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"seeding": {
|
| 3 |
+
"seeded_nodes": [
|
| 4 |
+
{
|
| 5 |
+
"node_id": "user_aria",
|
| 6 |
+
"node_type": "user",
|
| 7 |
+
"attrs": {
|
| 8 |
+
"name": "Aria Sen",
|
| 9 |
+
"org": "Helios Labs",
|
| 10 |
+
"location": "Sector 9"
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
{
|
| 14 |
+
"node_id": "user_bharat",
|
| 15 |
+
"node_type": "user",
|
| 16 |
+
"attrs": {
|
| 17 |
+
"name": "Bharat Kulkarni",
|
| 18 |
+
"org": "Northbridge Logistics",
|
| 19 |
+
"location": "Dockyard 17"
|
| 20 |
+
}
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"node_id": "user_cyrus",
|
| 24 |
+
"node_type": "user",
|
| 25 |
+
"attrs": {
|
| 26 |
+
"name": "Cyrus Mehta",
|
| 27 |
+
"org": "Apex Dynamics",
|
| 28 |
+
"location": "Old Town"
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"node_id": "user_diya",
|
| 33 |
+
"node_type": "user",
|
| 34 |
+
"attrs": {
|
| 35 |
+
"name": "Diya Roy",
|
| 36 |
+
"org": "Blueharbor Media",
|
| 37 |
+
"location": "Old Town"
|
| 38 |
+
}
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"node_id": "user_elin",
|
| 42 |
+
"node_type": "user",
|
| 43 |
+
"attrs": {
|
| 44 |
+
"name": "Elin Das",
|
| 45 |
+
"org": "Helios Labs",
|
| 46 |
+
"location": "Sector 9"
|
| 47 |
+
}
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"node_id": "user_faris",
|
| 51 |
+
"node_type": "user",
|
| 52 |
+
"attrs": {
|
| 53 |
+
"name": "Faris Noor",
|
| 54 |
+
"org": "Tidewatch Ops",
|
| 55 |
+
"location": "Rivergate"
|
| 56 |
+
}
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"node_id": "user_gita",
|
| 60 |
+
"node_type": "user",
|
| 61 |
+
"attrs": {
|
| 62 |
+
"name": "Gita Pradhan",
|
| 63 |
+
"org": "Apex Dynamics",
|
| 64 |
+
"location": "Old Town"
|
| 65 |
+
}
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"node_id": "user_hiro",
|
| 69 |
+
"node_type": "user",
|
| 70 |
+
"attrs": {
|
| 71 |
+
"name": "Hiro Tan",
|
| 72 |
+
"org": "Northbridge Logistics",
|
| 73 |
+
"location": "Dockyard 17"
|
| 74 |
+
}
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"node_id": "user_ivy",
|
| 78 |
+
"node_type": "user",
|
| 79 |
+
"attrs": {
|
| 80 |
+
"name": "Ivy Kapoor",
|
| 81 |
+
"org": "Kestrel Works",
|
| 82 |
+
"location": "Rivergate"
|
| 83 |
+
}
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"node_id": "user_jules",
|
| 87 |
+
"node_type": "user",
|
| 88 |
+
"attrs": {
|
| 89 |
+
"name": "Jules Banerjee",
|
| 90 |
+
"org": "Blueharbor Media",
|
| 91 |
+
"location": "Old Town"
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"node_id": "alias_orchidfox",
|
| 96 |
+
"node_type": "alias",
|
| 97 |
+
"attrs": {
|
| 98 |
+
"handle": "@orchidfox"
|
| 99 |
+
}
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"node_id": "alias_steelquill",
|
| 103 |
+
"node_type": "alias",
|
| 104 |
+
"attrs": {
|
| 105 |
+
"handle": "@steelquill"
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"node_id": "alias_monsoonbyte",
|
| 110 |
+
"node_type": "alias",
|
| 111 |
+
"attrs": {
|
| 112 |
+
"handle": "@monsoonbyte"
|
| 113 |
+
}
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"node_id": "alias_nightrelay",
|
| 117 |
+
"node_type": "alias",
|
| 118 |
+
"attrs": {
|
| 119 |
+
"handle": "@nightrelay"
|
| 120 |
+
}
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"node_id": "alias_mapleghost",
|
| 124 |
+
"node_type": "alias",
|
| 125 |
+
"attrs": {
|
| 126 |
+
"handle": "@mapleghost"
|
| 127 |
+
}
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"node_id": "alias_docksparrow",
|
| 131 |
+
"node_type": "alias",
|
| 132 |
+
"attrs": {
|
| 133 |
+
"handle": "@docksparrow"
|
| 134 |
+
}
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"node_id": "alias_quartzlotus",
|
| 138 |
+
"node_type": "alias",
|
| 139 |
+
"attrs": {
|
| 140 |
+
"handle": "@quartzlotus"
|
| 141 |
+
}
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"node_id": "org_helios_labs",
|
| 145 |
+
"node_type": "org",
|
| 146 |
+
"attrs": {
|
| 147 |
+
"name": "Helios Labs"
|
| 148 |
+
}
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"node_id": "org_northbridge_logistics",
|
| 152 |
+
"node_type": "org",
|
| 153 |
+
"attrs": {
|
| 154 |
+
"name": "Northbridge Logistics"
|
| 155 |
+
}
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"node_id": "org_apex_dynamics",
|
| 159 |
+
"node_type": "org",
|
| 160 |
+
"attrs": {
|
| 161 |
+
"name": "Apex Dynamics"
|
| 162 |
+
}
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"node_id": "org_blueharbor_media",
|
| 166 |
+
"node_type": "org",
|
| 167 |
+
"attrs": {
|
| 168 |
+
"name": "Blueharbor Media"
|
| 169 |
+
}
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"node_id": "org_tidewatch_ops",
|
| 173 |
+
"node_type": "org",
|
| 174 |
+
"attrs": {
|
| 175 |
+
"name": "Tidewatch Ops"
|
| 176 |
+
}
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"node_id": "org_kestrel_works",
|
| 180 |
+
"node_type": "org",
|
| 181 |
+
"attrs": {
|
| 182 |
+
"name": "Kestrel Works"
|
| 183 |
+
}
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"node_id": "loc_dockyard17",
|
| 187 |
+
"node_type": "location",
|
| 188 |
+
"attrs": {
|
| 189 |
+
"name": "Dockyard 17"
|
| 190 |
+
}
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"node_id": "loc_sector9",
|
| 194 |
+
"node_type": "location",
|
| 195 |
+
"attrs": {
|
| 196 |
+
"name": "Sector 9"
|
| 197 |
+
}
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"node_id": "loc_old_town",
|
| 201 |
+
"node_type": "location",
|
| 202 |
+
"attrs": {
|
| 203 |
+
"name": "Old Town"
|
| 204 |
+
}
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"node_id": "loc_rivergate",
|
| 208 |
+
"node_type": "location",
|
| 209 |
+
"attrs": {
|
| 210 |
+
"name": "Rivergate"
|
| 211 |
+
}
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"node_id": "event_project_lantern",
|
| 215 |
+
"node_type": "event",
|
| 216 |
+
"attrs": {
|
| 217 |
+
"name": "Project Lantern"
|
| 218 |
+
}
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"node_id": "event_black_kite",
|
| 222 |
+
"node_type": "event",
|
| 223 |
+
"attrs": {
|
| 224 |
+
"name": "Black Kite"
|
| 225 |
+
}
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"node_id": "event_silent_current",
|
| 229 |
+
"node_type": "event",
|
| 230 |
+
"attrs": {
|
| 231 |
+
"name": "Silent Current"
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"node_id": "thr_supply_leak",
|
| 236 |
+
"node_type": "thread",
|
| 237 |
+
"attrs": {
|
| 238 |
+
"topic": "supply_chain"
|
| 239 |
+
}
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"node_id": "thr_port_audit",
|
| 243 |
+
"node_type": "thread",
|
| 244 |
+
"attrs": {
|
| 245 |
+
"topic": "port_audit"
|
| 246 |
+
}
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"node_id": "post_shift_roster",
|
| 250 |
+
"node_type": "post",
|
| 251 |
+
"attrs": {
|
| 252 |
+
"channel": "microblog"
|
| 253 |
+
}
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"node_id": "post_midnight_manifest",
|
| 257 |
+
"node_type": "post",
|
| 258 |
+
"attrs": {
|
| 259 |
+
"channel": "microblog"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"node_id": "post_sat_phone_ping",
|
| 264 |
+
"node_type": "post",
|
| 265 |
+
"attrs": {
|
| 266 |
+
"channel": "microblog"
|
| 267 |
+
}
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"node_id": "post_drone_parts",
|
| 271 |
+
"node_type": "post",
|
| 272 |
+
"attrs": {
|
| 273 |
+
"channel": "microblog"
|
| 274 |
+
}
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"node_id": "post_relay_schedule",
|
| 278 |
+
"node_type": "post",
|
| 279 |
+
"attrs": {
|
| 280 |
+
"channel": "microblog"
|
| 281 |
+
}
|
| 282 |
+
}
|
| 283 |
+
],
|
| 284 |
+
"seeded_edges": [
|
| 285 |
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{
|
| 286 |
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"src": "alias_orchidfox",
|
| 287 |
+
"rel": "alias_of",
|
| 288 |
+
"dst": "user_ivy",
|
| 289 |
+
"confidence": 1.0
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"src": "alias_steelquill",
|
| 293 |
+
"rel": "alias_of",
|
| 294 |
+
"dst": "user_bharat",
|
| 295 |
+
"confidence": 1.0
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"src": "alias_monsoonbyte",
|
| 299 |
+
"rel": "alias_of",
|
| 300 |
+
"dst": "user_diya",
|
| 301 |
+
"confidence": 1.0
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"src": "alias_nightrelay",
|
| 305 |
+
"rel": "alias_of",
|
| 306 |
+
"dst": "user_faris",
|
| 307 |
+
"confidence": 1.0
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"src": "alias_mapleghost",
|
| 311 |
+
"rel": "alias_of",
|
| 312 |
+
"dst": "user_elin",
|
| 313 |
+
"confidence": 1.0
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"src": "alias_docksparrow",
|
| 317 |
+
"rel": "alias_of",
|
| 318 |
+
"dst": "user_hiro",
|
| 319 |
+
"confidence": 1.0
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
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"src": "alias_quartzlotus",
|
| 323 |
+
"rel": "alias_of",
|
| 324 |
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"dst": "user_cyrus",
|
| 325 |
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"confidence": 1.0
|
| 326 |
+
},
|
| 327 |
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{
|
| 328 |
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"src": "user_aria",
|
| 329 |
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"rel": "works_at",
|
| 330 |
+
"dst": "org_helios_labs",
|
| 331 |
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"confidence": 1.0
|
| 332 |
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| 333 |
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{
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| 334 |
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| 335 |
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| 336 |
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| 337 |
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| 338 |
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},
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| 339 |
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{
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| 340 |
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| 341 |
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{
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| 346 |
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| 347 |
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| 348 |
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{
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| 352 |
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| 354 |
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},
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{
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| 358 |
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| 359 |
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| 360 |
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| 361 |
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| 362 |
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},
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| 363 |
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{
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| 364 |
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| 365 |
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| 366 |
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| 367 |
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| 368 |
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| 369 |
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{
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| 370 |
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"src": "user_hiro",
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| 371 |
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| 372 |
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"dst": "org_northbridge_logistics",
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| 373 |
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|
| 374 |
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},
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| 375 |
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{
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| 376 |
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"src": "user_ivy",
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| 377 |
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|
| 378 |
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"dst": "org_kestrel_works",
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| 379 |
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|
| 380 |
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},
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| 381 |
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{
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| 382 |
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"src": "user_jules",
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| 383 |
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| 384 |
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| 385 |
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| 386 |
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| 387 |
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{
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| 388 |
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"src": "user_aria",
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| 389 |
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"rel": "located_in",
|
| 390 |
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|
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|
| 392 |
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},
|
| 393 |
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{
|
| 394 |
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"src": "user_bharat",
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| 395 |
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"rel": "located_in",
|
| 396 |
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"dst": "loc_dockyard17",
|
| 397 |
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|
| 398 |
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},
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| 399 |
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{
|
| 400 |
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"src": "user_cyrus",
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| 401 |
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"rel": "located_in",
|
| 402 |
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"dst": "loc_old_town",
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| 403 |
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|
| 404 |
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},
|
| 405 |
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{
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| 406 |
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| 407 |
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|
| 408 |
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"dst": "loc_old_town",
|
| 409 |
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|
| 410 |
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},
|
| 411 |
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{
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| 412 |
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| 413 |
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"rel": "located_in",
|
| 414 |
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|
| 415 |
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|
| 416 |
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},
|
| 417 |
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{
|
| 418 |
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"src": "user_faris",
|
| 419 |
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|
| 420 |
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"dst": "loc_rivergate",
|
| 421 |
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|
| 422 |
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},
|
| 423 |
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{
|
| 424 |
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| 425 |
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|
| 426 |
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"dst": "loc_old_town",
|
| 427 |
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|
| 428 |
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},
|
| 429 |
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{
|
| 430 |
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"src": "user_hiro",
|
| 431 |
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"rel": "located_in",
|
| 432 |
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"dst": "loc_dockyard17",
|
| 433 |
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|
| 434 |
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},
|
| 435 |
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{
|
| 436 |
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"src": "user_ivy",
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| 437 |
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"rel": "located_in",
|
| 438 |
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"dst": "loc_rivergate",
|
| 439 |
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"confidence": 1.0
|
| 440 |
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},
|
| 441 |
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{
|
| 442 |
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"src": "user_jules",
|
| 443 |
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|
| 444 |
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|
| 445 |
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|
| 446 |
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},
|
| 447 |
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{
|
| 448 |
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|
| 449 |
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|
| 450 |
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|
| 451 |
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|
| 452 |
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},
|
| 453 |
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{
|
| 454 |
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| 455 |
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|
| 456 |
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|
| 457 |
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|
| 458 |
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},
|
| 459 |
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{
|
| 460 |
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| 461 |
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|
| 462 |
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|
| 463 |
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|
| 464 |
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},
|
| 465 |
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{
|
| 466 |
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| 467 |
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|
| 468 |
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"dst": "loc_old_town",
|
| 469 |
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"confidence": 1.0
|
| 470 |
+
},
|
| 471 |
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{
|
| 472 |
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"src": "org_tidewatch_ops",
|
| 473 |
+
"rel": "operates_in",
|
| 474 |
+
"dst": "loc_rivergate",
|
| 475 |
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"confidence": 1.0
|
| 476 |
+
},
|
| 477 |
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{
|
| 478 |
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|
| 479 |
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"rel": "operates_in",
|
| 480 |
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| 481 |
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|
| 482 |
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},
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| 483 |
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{
|
| 484 |
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|
| 485 |
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|
| 486 |
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"dst": "user_bharat",
|
| 487 |
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"confidence": 0.95
|
| 488 |
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},
|
| 489 |
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{
|
| 490 |
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|
| 491 |
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"rel": "connected_to",
|
| 492 |
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|
| 493 |
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"confidence": 0.95
|
| 494 |
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},
|
| 495 |
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{
|
| 496 |
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"src": "user_hiro",
|
| 497 |
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"rel": "connected_to",
|
| 498 |
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|
| 499 |
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|
| 500 |
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},
|
| 501 |
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{
|
| 502 |
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|
| 503 |
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|
| 504 |
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|
| 505 |
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|
| 506 |
+
},
|
| 507 |
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{
|
| 508 |
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|
| 509 |
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|
| 510 |
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"dst": "user_elin",
|
| 511 |
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|
| 512 |
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},
|
| 513 |
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{
|
| 514 |
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"src": "user_elin",
|
| 515 |
+
"rel": "connected_to",
|
| 516 |
+
"dst": "user_aria",
|
| 517 |
+
"confidence": 0.85
|
| 518 |
+
},
|
| 519 |
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{
|
| 520 |
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"src": "user_aria",
|
| 521 |
+
"rel": "connected_to",
|
| 522 |
+
"dst": "user_cyrus",
|
| 523 |
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"confidence": 0.82
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
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"src": "user_cyrus",
|
| 527 |
+
"rel": "connected_to",
|
| 528 |
+
"dst": "user_gita",
|
| 529 |
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"confidence": 0.82
|
| 530 |
+
},
|
| 531 |
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{
|
| 532 |
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"src": "user_gita",
|
| 533 |
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"rel": "connected_to",
|
| 534 |
+
"dst": "user_jules",
|
| 535 |
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"confidence": 0.8
|
| 536 |
+
},
|
| 537 |
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{
|
| 538 |
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"src": "user_jules",
|
| 539 |
+
"rel": "connected_to",
|
| 540 |
+
"dst": "user_bharat",
|
| 541 |
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"confidence": 0.8
|
| 542 |
+
},
|
| 543 |
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{
|
| 544 |
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"src": "user_diya",
|
| 545 |
+
"rel": "connected_to",
|
| 546 |
+
"dst": "user_ivy",
|
| 547 |
+
"confidence": 0.9
|
| 548 |
+
},
|
| 549 |
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{
|
| 550 |
+
"src": "user_ivy",
|
| 551 |
+
"rel": "connected_to",
|
| 552 |
+
"dst": "user_elin",
|
| 553 |
+
"confidence": 0.86
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"src": "alias_orchidfox",
|
| 557 |
+
"rel": "authored_post",
|
| 558 |
+
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|
| 559 |
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"confidence": 1.0
|
| 560 |
+
},
|
| 561 |
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{
|
| 562 |
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|
| 563 |
+
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|
| 564 |
+
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|
| 565 |
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"confidence": 1.0
|
| 566 |
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},
|
| 567 |
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{
|
| 568 |
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|
| 569 |
+
"rel": "authored_post",
|
| 570 |
+
"dst": "post_sat_phone_ping",
|
| 571 |
+
"confidence": 1.0
|
| 572 |
+
},
|
| 573 |
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{
|
| 574 |
+
"src": "alias_monsoonbyte",
|
| 575 |
+
"rel": "authored_post",
|
| 576 |
+
"dst": "post_drone_parts",
|
| 577 |
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"confidence": 1.0
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
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"src": "alias_steelquill",
|
| 581 |
+
"rel": "authored_post",
|
| 582 |
+
"dst": "post_relay_schedule",
|
| 583 |
+
"confidence": 1.0
|
| 584 |
+
},
|
| 585 |
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{
|
| 586 |
+
"src": "post_midnight_manifest",
|
| 587 |
+
"rel": "references",
|
| 588 |
+
"dst": "loc_dockyard17",
|
| 589 |
+
"confidence": 1.0
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"src": "post_midnight_manifest",
|
| 593 |
+
"rel": "references",
|
| 594 |
+
"dst": "event_project_lantern",
|
| 595 |
+
"confidence": 1.0
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"src": "post_shift_roster",
|
| 599 |
+
"rel": "references",
|
| 600 |
+
"dst": "loc_dockyard17",
|
| 601 |
+
"confidence": 1.0
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"src": "post_sat_phone_ping",
|
| 605 |
+
"rel": "references",
|
| 606 |
+
"dst": "loc_rivergate",
|
| 607 |
+
"confidence": 1.0
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"src": "post_drone_parts",
|
| 611 |
+
"rel": "references",
|
| 612 |
+
"dst": "event_black_kite",
|
| 613 |
+
"confidence": 1.0
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"src": "post_relay_schedule",
|
| 617 |
+
"rel": "references",
|
| 618 |
+
"dst": "event_project_lantern",
|
| 619 |
+
"confidence": 1.0
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"src": "user_diya",
|
| 623 |
+
"rel": "authored_thread",
|
| 624 |
+
"dst": "thr_supply_leak",
|
| 625 |
+
"confidence": 1.0
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
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|
| 629 |
+
"rel": "authored_thread",
|
| 630 |
+
"dst": "thr_port_audit",
|
| 631 |
+
"confidence": 1.0
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"src": "thr_supply_leak",
|
| 635 |
+
"rel": "discusses",
|
| 636 |
+
"dst": "event_project_lantern",
|
| 637 |
+
"confidence": 1.0
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"src": "thr_supply_leak",
|
| 641 |
+
"rel": "references",
|
| 642 |
+
"dst": "org_northbridge_logistics",
|
| 643 |
+
"confidence": 1.0
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
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"src": "thr_port_audit",
|
| 647 |
+
"rel": "discusses",
|
| 648 |
+
"dst": "event_black_kite",
|
| 649 |
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"confidence": 1.0
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"src": "thr_port_audit",
|
| 653 |
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"rel": "references",
|
| 654 |
+
"dst": "org_kestrel_works",
|
| 655 |
+
"confidence": 1.0
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"src": "user_bharat",
|
| 659 |
+
"rel": "collaborates_on",
|
| 660 |
+
"dst": "event_project_lantern",
|
| 661 |
+
"confidence": 0.95
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"src": "user_hiro",
|
| 665 |
+
"rel": "collaborates_on",
|
| 666 |
+
"dst": "event_project_lantern",
|
| 667 |
+
"confidence": 0.95
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"src": "user_faris",
|
| 671 |
+
"rel": "collaborates_on",
|
| 672 |
+
"dst": "event_project_lantern",
|
| 673 |
+
"confidence": 0.9
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"src": "user_diya",
|
| 677 |
+
"rel": "investigates",
|
| 678 |
+
"dst": "event_project_lantern",
|
| 679 |
+
"confidence": 0.9
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"src": "user_ivy",
|
| 683 |
+
"rel": "collaborates_on",
|
| 684 |
+
"dst": "event_black_kite",
|
| 685 |
+
"confidence": 0.94
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"src": "user_cyrus",
|
| 689 |
+
"rel": "collaborates_on",
|
| 690 |
+
"dst": "event_black_kite",
|
| 691 |
+
"confidence": 0.9
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"src": "user_elin",
|
| 695 |
+
"rel": "investigates",
|
| 696 |
+
"dst": "event_black_kite",
|
| 697 |
+
"confidence": 0.88
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"src": "user_gita",
|
| 701 |
+
"rel": "monitors",
|
| 702 |
+
"dst": "event_silent_current",
|
| 703 |
+
"confidence": 0.86
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"src": "user_jules",
|
| 707 |
+
"rel": "reports_on",
|
| 708 |
+
"dst": "event_silent_current",
|
| 709 |
+
"confidence": 0.86
|
| 710 |
+
}
|
| 711 |
+
],
|
| 712 |
+
"seeded_questions": [
|
| 713 |
+
{
|
| 714 |
+
"task_type": "identity_resolution",
|
| 715 |
+
"question": "Which canonical user owns alias alias_orchidfox?",
|
| 716 |
+
"answer": "user_ivy",
|
| 717 |
+
"supporting_edges": [
|
| 718 |
+
{
|
| 719 |
+
"src": "alias_orchidfox",
|
| 720 |
+
"rel": "alias_of",
|
| 721 |
+
"dst": "user_ivy"
|
| 722 |
+
}
|
| 723 |
+
],
|
| 724 |
+
"metadata": {
|
| 725 |
+
"difficulty": "easy",
|
| 726 |
+
"difficulty_level": 1,
|
| 727 |
+
"question_id": "easy_01"
|
| 728 |
+
}
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"task_type": "entity_lookup",
|
| 732 |
+
"question": "Which organization does user_bharat work at?",
|
| 733 |
+
"answer": "org_northbridge_logistics",
|
| 734 |
+
"supporting_edges": [
|
| 735 |
+
{
|
| 736 |
+
"src": "user_bharat",
|
| 737 |
+
"rel": "works_at",
|
| 738 |
+
"dst": "org_northbridge_logistics"
|
| 739 |
+
}
|
| 740 |
+
],
|
| 741 |
+
"metadata": {
|
| 742 |
+
"difficulty": "easy",
|
| 743 |
+
"difficulty_level": 1,
|
| 744 |
+
"question_id": "easy_02"
|
| 745 |
+
}
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"task_type": "network_discovery",
|
| 749 |
+
"question": "Who is directly connected to user_ivy in the logistics chain?",
|
| 750 |
+
"answer": "user_bharat",
|
| 751 |
+
"supporting_edges": [
|
| 752 |
+
{
|
| 753 |
+
"src": "user_ivy",
|
| 754 |
+
"rel": "connected_to",
|
| 755 |
+
"dst": "user_bharat"
|
| 756 |
+
}
|
| 757 |
+
],
|
| 758 |
+
"metadata": {
|
| 759 |
+
"difficulty": "easy",
|
| 760 |
+
"difficulty_level": 1,
|
| 761 |
+
"question_id": "easy_03"
|
| 762 |
+
}
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"task_type": "event_tracing",
|
| 766 |
+
"question": "Which event is discussed in thread thr_supply_leak?",
|
| 767 |
+
"answer": "event_project_lantern",
|
| 768 |
+
"supporting_edges": [
|
| 769 |
+
{
|
| 770 |
+
"src": "thr_supply_leak",
|
| 771 |
+
"rel": "discusses",
|
| 772 |
+
"dst": "event_project_lantern"
|
| 773 |
+
}
|
| 774 |
+
],
|
| 775 |
+
"metadata": {
|
| 776 |
+
"difficulty": "easy",
|
| 777 |
+
"difficulty_level": 1,
|
| 778 |
+
"question_id": "easy_04"
|
| 779 |
+
}
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"task_type": "location_trace",
|
| 783 |
+
"question": "Which location is referenced by post post_shift_roster?",
|
| 784 |
+
"answer": "loc_dockyard17",
|
| 785 |
+
"supporting_edges": [
|
| 786 |
+
{
|
| 787 |
+
"src": "post_shift_roster",
|
| 788 |
+
"rel": "references",
|
| 789 |
+
"dst": "loc_dockyard17"
|
| 790 |
+
}
|
| 791 |
+
],
|
| 792 |
+
"metadata": {
|
| 793 |
+
"difficulty": "easy",
|
| 794 |
+
"difficulty_level": 1,
|
| 795 |
+
"question_id": "easy_05"
|
| 796 |
+
}
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"task_type": "identity_resolution",
|
| 800 |
+
"question": "Alias alias_monsoonbyte belongs to which user and where does that user work? Return only the organization node id.",
|
| 801 |
+
"answer": "org_blueharbor_media",
|
| 802 |
+
"supporting_edges": [
|
| 803 |
+
{
|
| 804 |
+
"src": "alias_monsoonbyte",
|
| 805 |
+
"rel": "alias_of",
|
| 806 |
+
"dst": "user_diya"
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"src": "user_diya",
|
| 810 |
+
"rel": "works_at",
|
| 811 |
+
"dst": "org_blueharbor_media"
|
| 812 |
+
}
|
| 813 |
+
],
|
| 814 |
+
"metadata": {
|
| 815 |
+
"difficulty": "mid",
|
| 816 |
+
"difficulty_level": 2,
|
| 817 |
+
"question_id": "mid_01"
|
| 818 |
+
}
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"task_type": "event_tracing",
|
| 822 |
+
"question": "Which user both authored thread thr_supply_leak and investigates event_project_lantern?",
|
| 823 |
+
"answer": "user_diya",
|
| 824 |
+
"supporting_edges": [
|
| 825 |
+
{
|
| 826 |
+
"src": "user_diya",
|
| 827 |
+
"rel": "authored_thread",
|
| 828 |
+
"dst": "thr_supply_leak"
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"src": "user_diya",
|
| 832 |
+
"rel": "investigates",
|
| 833 |
+
"dst": "event_project_lantern"
|
| 834 |
+
}
|
| 835 |
+
],
|
| 836 |
+
"metadata": {
|
| 837 |
+
"difficulty": "mid",
|
| 838 |
+
"difficulty_level": 2,
|
| 839 |
+
"question_id": "mid_02"
|
| 840 |
+
}
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"task_type": "cross_platform_linking",
|
| 844 |
+
"question": "Which organization operates in the location referenced by post_midnight_manifest?",
|
| 845 |
+
"answer": "org_northbridge_logistics",
|
| 846 |
+
"supporting_edges": [
|
| 847 |
+
{
|
| 848 |
+
"src": "post_midnight_manifest",
|
| 849 |
+
"rel": "references",
|
| 850 |
+
"dst": "loc_dockyard17"
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"src": "org_northbridge_logistics",
|
| 854 |
+
"rel": "operates_in",
|
| 855 |
+
"dst": "loc_dockyard17"
|
| 856 |
+
}
|
| 857 |
+
],
|
| 858 |
+
"metadata": {
|
| 859 |
+
"difficulty": "mid",
|
| 860 |
+
"difficulty_level": 2,
|
| 861 |
+
"question_id": "mid_03"
|
| 862 |
+
}
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"task_type": "network_discovery",
|
| 866 |
+
"question": "user_ivy is directly connected to which collaborator on event_project_lantern?",
|
| 867 |
+
"answer": "user_bharat",
|
| 868 |
+
"supporting_edges": [
|
| 869 |
+
{
|
| 870 |
+
"src": "user_ivy",
|
| 871 |
+
"rel": "connected_to",
|
| 872 |
+
"dst": "user_bharat"
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"src": "user_bharat",
|
| 876 |
+
"rel": "collaborates_on",
|
| 877 |
+
"dst": "event_project_lantern"
|
| 878 |
+
}
|
| 879 |
+
],
|
| 880 |
+
"metadata": {
|
| 881 |
+
"difficulty": "mid",
|
| 882 |
+
"difficulty_level": 2,
|
| 883 |
+
"question_id": "mid_04"
|
| 884 |
+
}
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"task_type": "deanonymization",
|
| 888 |
+
"question": "Which canonical user is behind alias_docksparrow and collaborates on event_project_lantern?",
|
| 889 |
+
"answer": "user_hiro",
|
| 890 |
+
"supporting_edges": [
|
| 891 |
+
{
|
| 892 |
+
"src": "alias_docksparrow",
|
| 893 |
+
"rel": "alias_of",
|
| 894 |
+
"dst": "user_hiro"
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"src": "user_hiro",
|
| 898 |
+
"rel": "collaborates_on",
|
| 899 |
+
"dst": "event_project_lantern"
|
| 900 |
+
}
|
| 901 |
+
],
|
| 902 |
+
"metadata": {
|
| 903 |
+
"difficulty": "mid",
|
| 904 |
+
"difficulty_level": 2,
|
| 905 |
+
"question_id": "mid_05"
|
| 906 |
+
}
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"task_type": "convoluted_trace",
|
| 910 |
+
"question": "An alias authored post_midnight_manifest referencing loc_dockyard17; through a direct connection from that alias owner, which user collaborates on event_project_lantern?",
|
| 911 |
+
"answer": "user_bharat",
|
| 912 |
+
"supporting_edges": [
|
| 913 |
+
{
|
| 914 |
+
"src": "alias_orchidfox",
|
| 915 |
+
"rel": "alias_of",
|
| 916 |
+
"dst": "user_ivy"
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"src": "alias_orchidfox",
|
| 920 |
+
"rel": "authored_post",
|
| 921 |
+
"dst": "post_midnight_manifest"
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"src": "post_midnight_manifest",
|
| 925 |
+
"rel": "references",
|
| 926 |
+
"dst": "loc_dockyard17"
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"src": "user_ivy",
|
| 930 |
+
"rel": "connected_to",
|
| 931 |
+
"dst": "user_bharat"
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"src": "user_bharat",
|
| 935 |
+
"rel": "collaborates_on",
|
| 936 |
+
"dst": "event_project_lantern"
|
| 937 |
+
}
|
| 938 |
+
],
|
| 939 |
+
"metadata": {
|
| 940 |
+
"difficulty": "high",
|
| 941 |
+
"difficulty_level": 3,
|
| 942 |
+
"question_id": "high_01"
|
| 943 |
+
}
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"task_type": "convoluted_trace",
|
| 947 |
+
"question": "Thread thr_supply_leak references org_northbridge_logistics. Identify the canonical user behind alias_docksparrow who works there and collaborates on event_project_lantern.",
|
| 948 |
+
"answer": "user_hiro",
|
| 949 |
+
"supporting_edges": [
|
| 950 |
+
{
|
| 951 |
+
"src": "thr_supply_leak",
|
| 952 |
+
"rel": "references",
|
| 953 |
+
"dst": "org_northbridge_logistics"
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"src": "alias_docksparrow",
|
| 957 |
+
"rel": "alias_of",
|
| 958 |
+
"dst": "user_hiro"
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"src": "user_hiro",
|
| 962 |
+
"rel": "works_at",
|
| 963 |
+
"dst": "org_northbridge_logistics"
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"src": "user_hiro",
|
| 967 |
+
"rel": "collaborates_on",
|
| 968 |
+
"dst": "event_project_lantern"
|
| 969 |
+
}
|
| 970 |
+
],
|
| 971 |
+
"metadata": {
|
| 972 |
+
"difficulty": "high",
|
| 973 |
+
"difficulty_level": 3,
|
| 974 |
+
"question_id": "high_02"
|
| 975 |
+
}
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"task_type": "convoluted_trace",
|
| 979 |
+
"question": "Cross-platform Black Kite linkage: alias_monsoonbyte authored post_drone_parts referencing event_black_kite. Which canonical user behind that alias is directly connected to the Kestrel Works collaborator on the same event?",
|
| 980 |
+
"answer": "user_diya",
|
| 981 |
+
"supporting_edges": [
|
| 982 |
+
{
|
| 983 |
+
"src": "alias_monsoonbyte",
|
| 984 |
+
"rel": "alias_of",
|
| 985 |
+
"dst": "user_diya"
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"src": "alias_monsoonbyte",
|
| 989 |
+
"rel": "authored_post",
|
| 990 |
+
"dst": "post_drone_parts"
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"src": "post_drone_parts",
|
| 994 |
+
"rel": "references",
|
| 995 |
+
"dst": "event_black_kite"
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"src": "user_ivy",
|
| 999 |
+
"rel": "works_at",
|
| 1000 |
+
"dst": "org_kestrel_works"
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"src": "user_ivy",
|
| 1004 |
+
"rel": "collaborates_on",
|
| 1005 |
+
"dst": "event_black_kite"
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"src": "user_diya",
|
| 1009 |
+
"rel": "connected_to",
|
| 1010 |
+
"dst": "user_ivy"
|
| 1011 |
+
}
|
| 1012 |
+
],
|
| 1013 |
+
"metadata": {
|
| 1014 |
+
"difficulty": "high",
|
| 1015 |
+
"difficulty_level": 3,
|
| 1016 |
+
"question_id": "high_03"
|
| 1017 |
+
}
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"task_type": "convoluted_trace",
|
| 1021 |
+
"question": "A sat-phone ping alias references loc_rivergate. Which canonical user behind alias_nightrelay works at an organization operating there and collaborates on event_project_lantern?",
|
| 1022 |
+
"answer": "user_faris",
|
| 1023 |
+
"supporting_edges": [
|
| 1024 |
+
{
|
| 1025 |
+
"src": "alias_nightrelay",
|
| 1026 |
+
"rel": "alias_of",
|
| 1027 |
+
"dst": "user_faris"
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"src": "alias_nightrelay",
|
| 1031 |
+
"rel": "authored_post",
|
| 1032 |
+
"dst": "post_sat_phone_ping"
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"src": "post_sat_phone_ping",
|
| 1036 |
+
"rel": "references",
|
| 1037 |
+
"dst": "loc_rivergate"
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"src": "user_faris",
|
| 1041 |
+
"rel": "works_at",
|
| 1042 |
+
"dst": "org_tidewatch_ops"
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"src": "org_tidewatch_ops",
|
| 1046 |
+
"rel": "operates_in",
|
| 1047 |
+
"dst": "loc_rivergate"
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"src": "user_faris",
|
| 1051 |
+
"rel": "collaborates_on",
|
| 1052 |
+
"dst": "event_project_lantern"
|
| 1053 |
+
}
|
| 1054 |
+
],
|
| 1055 |
+
"metadata": {
|
| 1056 |
+
"difficulty": "high",
|
| 1057 |
+
"difficulty_level": 3,
|
| 1058 |
+
"question_id": "high_04"
|
| 1059 |
+
}
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"task_type": "convoluted_trace",
|
| 1063 |
+
"question": "From thread thr_port_audit discussing event_black_kite and referencing org_kestrel_works, identify the canonical user whose alias authored post_midnight_manifest and who collaborates on event_black_kite.",
|
| 1064 |
+
"answer": "user_ivy",
|
| 1065 |
+
"supporting_edges": [
|
| 1066 |
+
{
|
| 1067 |
+
"src": "thr_port_audit",
|
| 1068 |
+
"rel": "discusses",
|
| 1069 |
+
"dst": "event_black_kite"
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"src": "thr_port_audit",
|
| 1073 |
+
"rel": "references",
|
| 1074 |
+
"dst": "org_kestrel_works"
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"src": "alias_orchidfox",
|
| 1078 |
+
"rel": "alias_of",
|
| 1079 |
+
"dst": "user_ivy"
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"src": "alias_orchidfox",
|
| 1083 |
+
"rel": "authored_post",
|
| 1084 |
+
"dst": "post_midnight_manifest"
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"src": "user_ivy",
|
| 1088 |
+
"rel": "works_at",
|
| 1089 |
+
"dst": "org_kestrel_works"
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"src": "user_ivy",
|
| 1093 |
+
"rel": "collaborates_on",
|
| 1094 |
+
"dst": "event_black_kite"
|
| 1095 |
+
}
|
| 1096 |
+
],
|
| 1097 |
+
"metadata": {
|
| 1098 |
+
"difficulty": "high",
|
| 1099 |
+
"difficulty_level": 3,
|
| 1100 |
+
"question_id": "high_05"
|
| 1101 |
+
}
|
| 1102 |
+
}
|
| 1103 |
+
],
|
| 1104 |
+
"llm_generate_remaining_graph": true,
|
| 1105 |
+
"llm_generate_remaining_tasks": false,
|
| 1106 |
+
"llm_generated_edge_budget": 28,
|
| 1107 |
+
"llm_generated_task_budget": 0,
|
| 1108 |
+
"llm_generation_parallel": true,
|
| 1109 |
+
"llm_generation_workers": 4,
|
| 1110 |
+
"llm_generation_retries": 3,
|
| 1111 |
+
"allow_template_fallback_on_llm_failure": false
|
| 1112 |
+
}
|
| 1113 |
+
}
|
datasets/fixed_levels/shared_config_fixed_levels.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"environment": {
|
| 3 |
+
"n_users": 4,
|
| 4 |
+
"alias_density": 0.0,
|
| 5 |
+
"noise_level": 0.08,
|
| 6 |
+
"red_herring_rate": 0.04,
|
| 7 |
+
"max_steps": 20,
|
| 8 |
+
"seed": 2026
|
| 9 |
+
},
|
| 10 |
+
"swarm": {
|
| 11 |
+
"enabled": true,
|
| 12 |
+
"max_agents": 3,
|
| 13 |
+
"max_breadth": 2,
|
| 14 |
+
"max_width": 2,
|
| 15 |
+
"max_depth": 2,
|
| 16 |
+
"planner_rounds": 2,
|
| 17 |
+
"tools_per_agent": 1
|
| 18 |
+
},
|
| 19 |
+
"spawn_reward": {
|
| 20 |
+
"lambda_parallel": 0.15,
|
| 21 |
+
"lambda_finish": 0.2,
|
| 22 |
+
"anneal": 1.0,
|
| 23 |
+
"max_parallel_hint": 3
|
| 24 |
+
},
|
| 25 |
+
"seeding": {
|
| 26 |
+
"seeded_nodes": [],
|
| 27 |
+
"seeded_edges": [],
|
| 28 |
+
"seeded_questions": [],
|
| 29 |
+
"llm_generate_remaining_graph": true,
|
| 30 |
+
"llm_generate_remaining_tasks": false,
|
| 31 |
+
"llm_generated_edge_budget": 28,
|
| 32 |
+
"llm_generated_task_budget": 0,
|
| 33 |
+
"llm_generation_parallel": true,
|
| 34 |
+
"llm_generation_workers": 4,
|
| 35 |
+
"llm_generation_retries": 3,
|
| 36 |
+
"allow_template_fallback_on_llm_failure": false
|
| 37 |
+
},
|
| 38 |
+
"llm": {
|
| 39 |
+
"provider": "ollama",
|
| 40 |
+
"model": "qwen3:2b",
|
| 41 |
+
"temperature": 0.05,
|
| 42 |
+
"max_tokens": 384,
|
| 43 |
+
"timeout_seconds": 240,
|
| 44 |
+
"ollama_base_url": "http://127.0.0.1:11434",
|
| 45 |
+
"openai_base_url": "https://api.openai.com/v1",
|
| 46 |
+
"openai_api_key_env": "OPENAI_API_KEY",
|
| 47 |
+
"openai_api_key": ""
|
| 48 |
+
},
|
| 49 |
+
"runtime": {
|
| 50 |
+
"default_episodes": 15,
|
| 51 |
+
"leaderboard_path": "datasets/fixed_levels/leaderboard_fixed_levels.json",
|
| 52 |
+
"dashboard_path": "datasets/fixed_levels/dashboard_fixed_levels.html",
|
| 53 |
+
"sweep_dashboard_dir": "datasets/fixed_levels/sweep_dashboards"
|
| 54 |
+
}
|
| 55 |
+
}
|
scripts/build_fixed_levels_dataset.py
ADDED
|
@@ -0,0 +1,197 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from __future__ import annotations
|
| 2 |
+
|
| 3 |
+
import argparse
|
| 4 |
+
import json
|
| 5 |
+
from collections import Counter
|
| 6 |
+
from dataclasses import asdict
|
| 7 |
+
from pathlib import Path
|
| 8 |
+
from typing import Any
|
| 9 |
+
|
| 10 |
+
from osint_env.config import clone_environment_config, load_seeding_config, load_shared_config
|
| 11 |
+
from osint_env.data.generator import DatasetGenerator
|
| 12 |
+
from osint_env.domain.models import Edge, TaskInstance
|
| 13 |
+
from osint_env.llm import build_llm_client
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
def edge_to_dict(edge: Edge) -> dict[str, Any]:
|
| 17 |
+
return {
|
| 18 |
+
"src": edge.src,
|
| 19 |
+
"rel": edge.rel,
|
| 20 |
+
"dst": edge.dst,
|
| 21 |
+
"confidence": float(edge.confidence),
|
| 22 |
+
}
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
def task_to_dict(task: TaskInstance) -> dict[str, Any]:
|
| 26 |
+
return {
|
| 27 |
+
"task_id": task.task_id,
|
| 28 |
+
"task_type": task.task_type,
|
| 29 |
+
"question": task.question,
|
| 30 |
+
"answer": task.answer,
|
| 31 |
+
"supporting_edges": [edge_to_dict(e) for e in task.supporting_edges],
|
| 32 |
+
"metadata": dict(task.metadata),
|
| 33 |
+
}
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
def build_fixed_snapshot(seed_path: Path) -> dict[str, Any]:
|
| 37 |
+
seeding = load_seeding_config(seed_path)
|
| 38 |
+
fixed_nodes = []
|
| 39 |
+
for node in seeding.seeded_nodes:
|
| 40 |
+
fixed_nodes.append(
|
| 41 |
+
{
|
| 42 |
+
"node_id": node.node_id,
|
| 43 |
+
"node_type": str(getattr(node.node_type, "value", node.node_type)),
|
| 44 |
+
"attrs": dict(node.attrs),
|
| 45 |
+
}
|
| 46 |
+
)
|
| 47 |
+
fixed_edges = [
|
| 48 |
+
{
|
| 49 |
+
"src": edge.src,
|
| 50 |
+
"rel": edge.rel,
|
| 51 |
+
"dst": edge.dst,
|
| 52 |
+
"confidence": float(edge.confidence),
|
| 53 |
+
}
|
| 54 |
+
for edge in seeding.seeded_edges
|
| 55 |
+
]
|
| 56 |
+
fixed_questions = []
|
| 57 |
+
for idx, q in enumerate(seeding.seeded_questions):
|
| 58 |
+
fixed_questions.append(
|
| 59 |
+
{
|
| 60 |
+
"task_id": f"fixed_task_{idx:02d}",
|
| 61 |
+
"task_type": q.task_type,
|
| 62 |
+
"question": q.question,
|
| 63 |
+
"answer": q.answer,
|
| 64 |
+
"supporting_edges": [
|
| 65 |
+
{
|
| 66 |
+
"src": edge.src,
|
| 67 |
+
"rel": edge.rel,
|
| 68 |
+
"dst": edge.dst,
|
| 69 |
+
"confidence": float(edge.confidence),
|
| 70 |
+
}
|
| 71 |
+
for edge in q.supporting_edges
|
| 72 |
+
],
|
| 73 |
+
"metadata": dict(q.metadata),
|
| 74 |
+
}
|
| 75 |
+
)
|
| 76 |
+
|
| 77 |
+
difficulty_counts = Counter(str(q.get("metadata", {}).get("difficulty", "unknown")) for q in fixed_questions)
|
| 78 |
+
return {
|
| 79 |
+
"dataset_name": "fixed_levels_submission_set",
|
| 80 |
+
"source_seed": str(seed_path),
|
| 81 |
+
"graph": {
|
| 82 |
+
"nodes": fixed_nodes,
|
| 83 |
+
"edges": fixed_edges,
|
| 84 |
+
"node_count": len(fixed_nodes),
|
| 85 |
+
"edge_count": len(fixed_edges),
|
| 86 |
+
},
|
| 87 |
+
"questions": fixed_questions,
|
| 88 |
+
"question_count": len(fixed_questions),
|
| 89 |
+
"difficulty_counts": dict(difficulty_counts),
|
| 90 |
+
}
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
def build_complete_snapshot(shared_config_path: Path, seed_path: Path) -> dict[str, Any]:
|
| 94 |
+
shared = load_shared_config(shared_config_path)
|
| 95 |
+
env_cfg = clone_environment_config(shared.environment)
|
| 96 |
+
env_cfg.seeding = load_seeding_config(seed_path)
|
| 97 |
+
|
| 98 |
+
llm_client = build_llm_client(env_cfg.llm)
|
| 99 |
+
generator = DatasetGenerator(config=env_cfg, llm=llm_client)
|
| 100 |
+
|
| 101 |
+
graph = generator.build_canonical_graph()
|
| 102 |
+
views = generator.build_platform_views(graph)
|
| 103 |
+
tasks = generator.generate_tasks(graph, views, count=max(15, len(env_cfg.seeding.seeded_questions)))
|
| 104 |
+
|
| 105 |
+
difficulty_counts = Counter(str(task.metadata.get("difficulty", "unknown")) for task in tasks)
|
| 106 |
+
|
| 107 |
+
return {
|
| 108 |
+
"dataset_name": "fixed_levels_submission_set",
|
| 109 |
+
"generation_mode": "llm_expanded",
|
| 110 |
+
"shared_config": str(shared_config_path),
|
| 111 |
+
"seed_file": str(seed_path),
|
| 112 |
+
"llm": asdict(env_cfg.llm),
|
| 113 |
+
"environment": {
|
| 114 |
+
"n_users": env_cfg.n_users,
|
| 115 |
+
"alias_density": env_cfg.alias_density,
|
| 116 |
+
"noise_level": env_cfg.noise_level,
|
| 117 |
+
"red_herring_rate": env_cfg.red_herring_rate,
|
| 118 |
+
"seed": env_cfg.seed,
|
| 119 |
+
},
|
| 120 |
+
"canonical_graph": {
|
| 121 |
+
"node_count": len(graph.nodes),
|
| 122 |
+
"edge_count": len(graph.edges),
|
| 123 |
+
"nodes": [
|
| 124 |
+
{
|
| 125 |
+
"node_id": node.node_id,
|
| 126 |
+
"node_type": node.node_type.value,
|
| 127 |
+
"attrs": dict(node.attrs),
|
| 128 |
+
}
|
| 129 |
+
for node in sorted(graph.nodes.values(), key=lambda n: n.node_id)
|
| 130 |
+
],
|
| 131 |
+
"edges": [edge_to_dict(edge) for edge in graph.edges],
|
| 132 |
+
},
|
| 133 |
+
"platform_views": {
|
| 134 |
+
"microblog_posts": views.microblog_posts,
|
| 135 |
+
"forum_threads": views.forum_threads,
|
| 136 |
+
"profiles": views.profiles,
|
| 137 |
+
"counts": {
|
| 138 |
+
"microblog_posts": len(views.microblog_posts),
|
| 139 |
+
"forum_threads": len(views.forum_threads),
|
| 140 |
+
"profiles": len(views.profiles),
|
| 141 |
+
},
|
| 142 |
+
},
|
| 143 |
+
"tasks": [task_to_dict(task) for task in tasks],
|
| 144 |
+
"task_count": len(tasks),
|
| 145 |
+
"difficulty_counts": dict(difficulty_counts),
|
| 146 |
+
}
|
| 147 |
+
|
| 148 |
+
|
| 149 |
+
def main() -> None:
|
| 150 |
+
parser = argparse.ArgumentParser(description="Build fixed difficulty dataset artifacts.")
|
| 151 |
+
parser.add_argument(
|
| 152 |
+
"--seed-file",
|
| 153 |
+
default="datasets/fixed_levels/seed_fixed_levels.json",
|
| 154 |
+
help="Path to seeding JSON with fixed graph/questions.",
|
| 155 |
+
)
|
| 156 |
+
parser.add_argument(
|
| 157 |
+
"--shared-config",
|
| 158 |
+
default="datasets/fixed_levels/shared_config_fixed_levels.json",
|
| 159 |
+
help="Path to shared config used for LLM-expanded generation.",
|
| 160 |
+
)
|
| 161 |
+
parser.add_argument(
|
| 162 |
+
"--output-dir",
|
| 163 |
+
default="datasets/fixed_levels",
|
| 164 |
+
help="Directory where dataset artifacts are written.",
|
| 165 |
+
)
|
| 166 |
+
args = parser.parse_args()
|
| 167 |
+
|
| 168 |
+
output_dir = Path(args.output_dir)
|
| 169 |
+
output_dir.mkdir(parents=True, exist_ok=True)
|
| 170 |
+
|
| 171 |
+
seed_path = Path(args.seed_file)
|
| 172 |
+
shared_path = Path(args.shared_config)
|
| 173 |
+
|
| 174 |
+
fixed_snapshot = build_fixed_snapshot(seed_path)
|
| 175 |
+
fixed_path = output_dir / "fixed_graph_questions.json"
|
| 176 |
+
fixed_path.write_text(json.dumps(fixed_snapshot, indent=2, sort_keys=True), encoding="utf-8")
|
| 177 |
+
|
| 178 |
+
complete_snapshot = build_complete_snapshot(shared_path, seed_path)
|
| 179 |
+
complete_path = output_dir / "complete_dataset_qwen_generated.json"
|
| 180 |
+
complete_path.write_text(json.dumps(complete_snapshot, indent=2, sort_keys=True), encoding="utf-8")
|
| 181 |
+
|
| 182 |
+
summary = {
|
| 183 |
+
"fixed_dataset": str(fixed_path),
|
| 184 |
+
"complete_dataset": str(complete_path),
|
| 185 |
+
"fixed_nodes": fixed_snapshot["graph"]["node_count"],
|
| 186 |
+
"fixed_edges": fixed_snapshot["graph"]["edge_count"],
|
| 187 |
+
"fixed_questions": fixed_snapshot["question_count"],
|
| 188 |
+
"complete_nodes": complete_snapshot["canonical_graph"]["node_count"],
|
| 189 |
+
"complete_edges": complete_snapshot["canonical_graph"]["edge_count"],
|
| 190 |
+
"complete_tasks": complete_snapshot["task_count"],
|
| 191 |
+
"difficulty_counts": complete_snapshot["difficulty_counts"],
|
| 192 |
+
}
|
| 193 |
+
print(json.dumps(summary, indent=2, sort_keys=True))
|
| 194 |
+
|
| 195 |
+
|
| 196 |
+
if __name__ == "__main__":
|
| 197 |
+
main()
|
src/osint_env/cli.py
CHANGED
|
@@ -2,6 +2,7 @@ from __future__ import annotations
|
|
| 2 |
|
| 3 |
import argparse
|
| 4 |
import json
|
|
|
|
| 5 |
|
| 6 |
from osint_env.agents.single_agent import SingleAgentRunner
|
| 7 |
from osint_env.agents.swarm_agent import SwarmAgentRunner
|
|
@@ -15,6 +16,28 @@ from osint_env.llm import build_llm_client
|
|
| 15 |
from osint_env.viz import export_dashboard
|
| 16 |
|
| 17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
def _add_common_args(parser: argparse.ArgumentParser) -> None:
|
| 19 |
parser.add_argument("--config", type=str, default="config/shared_config.json")
|
| 20 |
parser.add_argument("--seed-file", type=str, default="")
|
|
@@ -97,6 +120,12 @@ def build_parser() -> argparse.ArgumentParser:
|
|
| 97 |
v.add_argument("--output", type=str, default="artifacts/osint_explorer.html")
|
| 98 |
v.add_argument("--with-demo", action="store_true")
|
| 99 |
v.add_argument("--leaderboard", type=str, default="")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 100 |
return parser
|
| 101 |
|
| 102 |
|
|
@@ -152,6 +181,7 @@ def main() -> None:
|
|
| 152 |
sweep_dashboard_dir = (
|
| 153 |
str(args.dashboard_dir) if getattr(args, "dashboard_dir", "") else str(runtime["sweep_dashboard_dir"])
|
| 154 |
)
|
|
|
|
| 155 |
|
| 156 |
if args.cmd == "leaderboard":
|
| 157 |
records = load_leaderboard(leaderboard_path)
|
|
@@ -190,6 +220,7 @@ def main() -> None:
|
|
| 190 |
leaderboard_records=load_leaderboard(leaderboard_path),
|
| 191 |
output_path=f"{sweep_dashboard_dir}/{run_name}.html",
|
| 192 |
)
|
|
|
|
| 193 |
outputs.append({"seed": seed, "record": record, "dashboard": dashboard_path, "summary": summary})
|
| 194 |
|
| 195 |
records = load_leaderboard(leaderboard_path)
|
|
@@ -239,6 +270,7 @@ def main() -> None:
|
|
| 239 |
leaderboard_records=leaderboard,
|
| 240 |
output_path=dashboard_path,
|
| 241 |
)
|
|
|
|
| 242 |
payload = {
|
| 243 |
"record": record,
|
| 244 |
"summary": summary,
|
|
@@ -246,26 +278,61 @@ def main() -> None:
|
|
| 246 |
}
|
| 247 |
print(json.dumps(payload, indent=2, sort_keys=True))
|
| 248 |
elif args.cmd == "viz":
|
|
|
|
| 249 |
if args.with_demo:
|
| 250 |
_runner_for(env).run_episode()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
| 251 |
|
| 252 |
graph_f1 = 0.0
|
| 253 |
if env.state is not None:
|
| 254 |
graph_f1 = compute_graph_f1(env.memory_graph.edges, env.state.task.supporting_edges)
|
| 255 |
|
| 256 |
-
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
|
| 260 |
-
|
| 261 |
-
|
| 262 |
-
|
| 263 |
-
|
| 264 |
-
|
| 265 |
-
|
|
|
|
|
|
|
| 266 |
leaderboard = load_leaderboard(leaderboard_path)
|
| 267 |
out = export_dashboard(env=env, evaluation=evaluation, leaderboard_records=leaderboard, output_path=args.output)
|
| 268 |
-
print(json.dumps({"dashboard": out}, indent=2, sort_keys=True))
|
| 269 |
|
| 270 |
|
| 271 |
if __name__ == "__main__":
|
|
|
|
| 2 |
|
| 3 |
import argparse
|
| 4 |
import json
|
| 5 |
+
from pathlib import Path
|
| 6 |
|
| 7 |
from osint_env.agents.single_agent import SingleAgentRunner
|
| 8 |
from osint_env.agents.swarm_agent import SwarmAgentRunner
|
|
|
|
| 16 |
from osint_env.viz import export_dashboard
|
| 17 |
|
| 18 |
|
| 19 |
+
DEFAULT_EVALUATION_PATH = "artifacts/latest_evaluation.json"
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
def _save_evaluation(path: str, payload: dict) -> None:
|
| 23 |
+
out = Path(path)
|
| 24 |
+
out.parent.mkdir(parents=True, exist_ok=True)
|
| 25 |
+
out.write_text(json.dumps(payload, indent=2, sort_keys=True), encoding="utf-8")
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
def _load_evaluation(path: str) -> dict | None:
|
| 29 |
+
file_path = Path(path)
|
| 30 |
+
if not file_path.exists():
|
| 31 |
+
return None
|
| 32 |
+
try:
|
| 33 |
+
data = json.loads(file_path.read_text(encoding="utf-8"))
|
| 34 |
+
except json.JSONDecodeError:
|
| 35 |
+
return None
|
| 36 |
+
if not isinstance(data, dict):
|
| 37 |
+
return None
|
| 38 |
+
return data
|
| 39 |
+
|
| 40 |
+
|
| 41 |
def _add_common_args(parser: argparse.ArgumentParser) -> None:
|
| 42 |
parser.add_argument("--config", type=str, default="config/shared_config.json")
|
| 43 |
parser.add_argument("--seed-file", type=str, default="")
|
|
|
|
| 120 |
v.add_argument("--output", type=str, default="artifacts/osint_explorer.html")
|
| 121 |
v.add_argument("--with-demo", action="store_true")
|
| 122 |
v.add_argument("--leaderboard", type=str, default="")
|
| 123 |
+
v.add_argument(
|
| 124 |
+
"--evaluation",
|
| 125 |
+
type=str,
|
| 126 |
+
default=DEFAULT_EVALUATION_PATH,
|
| 127 |
+
help="Path to a saved evaluation payload with episode details.",
|
| 128 |
+
)
|
| 129 |
return parser
|
| 130 |
|
| 131 |
|
|
|
|
| 181 |
sweep_dashboard_dir = (
|
| 182 |
str(args.dashboard_dir) if getattr(args, "dashboard_dir", "") else str(runtime["sweep_dashboard_dir"])
|
| 183 |
)
|
| 184 |
+
evaluation_path = str(getattr(args, "evaluation", "") or DEFAULT_EVALUATION_PATH)
|
| 185 |
|
| 186 |
if args.cmd == "leaderboard":
|
| 187 |
records = load_leaderboard(leaderboard_path)
|
|
|
|
| 220 |
leaderboard_records=load_leaderboard(leaderboard_path),
|
| 221 |
output_path=f"{sweep_dashboard_dir}/{run_name}.html",
|
| 222 |
)
|
| 223 |
+
_save_evaluation(DEFAULT_EVALUATION_PATH, evaluation)
|
| 224 |
outputs.append({"seed": seed, "record": record, "dashboard": dashboard_path, "summary": summary})
|
| 225 |
|
| 226 |
records = load_leaderboard(leaderboard_path)
|
|
|
|
| 270 |
leaderboard_records=leaderboard,
|
| 271 |
output_path=dashboard_path,
|
| 272 |
)
|
| 273 |
+
_save_evaluation(DEFAULT_EVALUATION_PATH, evaluation)
|
| 274 |
payload = {
|
| 275 |
"record": record,
|
| 276 |
"summary": summary,
|
|
|
|
| 278 |
}
|
| 279 |
print(json.dumps(payload, indent=2, sort_keys=True))
|
| 280 |
elif args.cmd == "viz":
|
| 281 |
+
evaluation: dict | None = _load_evaluation(evaluation_path)
|
| 282 |
if args.with_demo:
|
| 283 |
_runner_for(env).run_episode()
|
| 284 |
+
info = {
|
| 285 |
+
"agent_answer": env.state.agent_answer if env.state else "",
|
| 286 |
+
"task_answer": env.state.task.answer if env.state else "",
|
| 287 |
+
"total_reward": env.state.total_reward if env.state else 0.0,
|
| 288 |
+
"step_count": env.state.step_count if env.state else 0,
|
| 289 |
+
"tool_calls": env.state.tool_calls if env.state else 0,
|
| 290 |
+
}
|
| 291 |
+
evaluation = {
|
| 292 |
+
"summary": {
|
| 293 |
+
"task_success_rate": float(info["agent_answer"] == info["task_answer"]),
|
| 294 |
+
"tool_efficiency": 0.0,
|
| 295 |
+
"avg_graph_f1": 0.0,
|
| 296 |
+
"avg_steps_to_solution": float(info["step_count"]),
|
| 297 |
+
"deanonymization_accuracy": 0.0,
|
| 298 |
+
"avg_reward": float(info["total_reward"]),
|
| 299 |
+
"leaderboard_score": 0.0,
|
| 300 |
+
},
|
| 301 |
+
"episodes": [
|
| 302 |
+
{
|
| 303 |
+
"task_id": env.state.task.task_id if env.state else "n/a",
|
| 304 |
+
"task_type": env.state.task.task_type if env.state else "n/a",
|
| 305 |
+
"question": env.state.task.question if env.state else "n/a",
|
| 306 |
+
"task_answer": str(info["task_answer"]),
|
| 307 |
+
"agent_answer": str(info["agent_answer"]),
|
| 308 |
+
"graph_f1": 0.0,
|
| 309 |
+
"reward": float(info["total_reward"]),
|
| 310 |
+
"steps": int(info["step_count"]),
|
| 311 |
+
"tool_calls": int(info["tool_calls"]),
|
| 312 |
+
"success": int(info["agent_answer"] == info["task_answer"]),
|
| 313 |
+
}
|
| 314 |
+
],
|
| 315 |
+
}
|
| 316 |
|
| 317 |
graph_f1 = 0.0
|
| 318 |
if env.state is not None:
|
| 319 |
graph_f1 = compute_graph_f1(env.memory_graph.edges, env.state.task.supporting_edges)
|
| 320 |
|
| 321 |
+
if evaluation is None:
|
| 322 |
+
summary = {
|
| 323 |
+
"task_success_rate": 0.0,
|
| 324 |
+
"tool_efficiency": 0.0,
|
| 325 |
+
"avg_graph_f1": graph_f1,
|
| 326 |
+
"avg_steps_to_solution": float(env.state.step_count) if env.state else 0.0,
|
| 327 |
+
"deanonymization_accuracy": 0.0,
|
| 328 |
+
"avg_reward": float(env.state.total_reward) if env.state else 0.0,
|
| 329 |
+
"leaderboard_score": 0.0,
|
| 330 |
+
}
|
| 331 |
+
evaluation = {"summary": summary, "episodes": []}
|
| 332 |
+
|
| 333 |
leaderboard = load_leaderboard(leaderboard_path)
|
| 334 |
out = export_dashboard(env=env, evaluation=evaluation, leaderboard_records=leaderboard, output_path=args.output)
|
| 335 |
+
print(json.dumps({"dashboard": out, "evaluation": evaluation_path}, indent=2, sort_keys=True))
|
| 336 |
|
| 337 |
|
| 338 |
if __name__ == "__main__":
|
src/osint_env/eval/runner.py
CHANGED
|
@@ -32,6 +32,9 @@ def run_evaluation(
|
|
| 32 |
{
|
| 33 |
"task_id": task_id,
|
| 34 |
"task_type": task_type,
|
|
|
|
|
|
|
|
|
|
| 35 |
"graph_f1": graph_f1,
|
| 36 |
"reward": float(info.get("total_reward", 0.0)),
|
| 37 |
"steps": int(info.get("step_count", 0)),
|
|
@@ -40,6 +43,24 @@ def run_evaluation(
|
|
| 40 |
"reward_components": dict(info.get("reward_components", {})),
|
| 41 |
"spawn_count": int(info.get("spawn_count", 0)),
|
| 42 |
"spawn_critical_steps": int(info.get("spawn_critical_steps", 0)),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
}
|
| 44 |
)
|
| 45 |
summary = metrics.summary()
|
|
|
|
| 32 |
{
|
| 33 |
"task_id": task_id,
|
| 34 |
"task_type": task_type,
|
| 35 |
+
"question": env.state.task.question if env.state else "",
|
| 36 |
+
"task_answer": str(info.get("task_answer", "")),
|
| 37 |
+
"agent_answer": str(info.get("agent_answer", "")) if info.get("agent_answer") is not None else "",
|
| 38 |
"graph_f1": graph_f1,
|
| 39 |
"reward": float(info.get("total_reward", 0.0)),
|
| 40 |
"steps": int(info.get("step_count", 0)),
|
|
|
|
| 43 |
"reward_components": dict(info.get("reward_components", {})),
|
| 44 |
"spawn_count": int(info.get("spawn_count", 0)),
|
| 45 |
"spawn_critical_steps": int(info.get("spawn_critical_steps", 0)),
|
| 46 |
+
"pred_edges": [
|
| 47 |
+
{
|
| 48 |
+
"src": edge.src,
|
| 49 |
+
"rel": edge.rel,
|
| 50 |
+
"dst": edge.dst,
|
| 51 |
+
"confidence": float(edge.confidence),
|
| 52 |
+
}
|
| 53 |
+
for edge in pred
|
| 54 |
+
],
|
| 55 |
+
"truth_edges": [
|
| 56 |
+
{
|
| 57 |
+
"src": edge.src,
|
| 58 |
+
"rel": edge.rel,
|
| 59 |
+
"dst": edge.dst,
|
| 60 |
+
"confidence": float(edge.confidence),
|
| 61 |
+
}
|
| 62 |
+
for edge in truth
|
| 63 |
+
],
|
| 64 |
}
|
| 65 |
)
|
| 66 |
summary = metrics.summary()
|
src/osint_env/viz/dashboard.py
CHANGED
|
@@ -133,12 +133,23 @@ def export_dashboard(
|
|
| 133 |
truth_edges = task.supporting_edges if task else []
|
| 134 |
pred_edges = env.memory_graph.edges if env.state else []
|
| 135 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 136 |
payload = {
|
| 137 |
"summary": summary,
|
| 138 |
"episodes": episodes,
|
| 139 |
"leaderboard": _leaderboard_payload(leaderboard_records),
|
| 140 |
"canonical_graph": _canonical_graph_payload(env.graph),
|
| 141 |
-
|
|
|
|
| 142 |
"views": _views_payload(env.views),
|
| 143 |
"task": {
|
| 144 |
"task_id": task.task_id if task else "n/a",
|
|
@@ -243,6 +254,9 @@ def export_dashboard(
|
|
| 243 |
.legend {{ display: flex; gap: 8px; flex-wrap: wrap; margin-top: 8px; font-size: 12px; }}
|
| 244 |
.dot {{ width: 9px; height: 9px; border-radius: 999px; display: inline-block; margin-right: 4px; }}
|
| 245 |
.mono {{ font-family: \"IBM Plex Mono\", monospace; font-size: 12px; }}
|
|
|
|
|
|
|
|
|
|
| 246 |
.inline {{ display: flex; gap: 8px; align-items: center; }}
|
| 247 |
.split {{ display: grid; grid-template-columns: 2fr 1.3fr; gap: 14px; margin-bottom: 14px; }}
|
| 248 |
.db-tabs {{ display: flex; gap: 6px; flex-wrap: wrap; margin-bottom: 8px; }}
|
|
@@ -299,12 +313,22 @@ def export_dashboard(
|
|
| 299 |
<div class=\"stats\" id=\"stats\"></div>
|
| 300 |
</section>
|
| 301 |
<section class=\"card\">
|
| 302 |
-
<h2>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 303 |
<div><strong>Task ID:</strong> <span id=\"task-id\"></span></div>
|
| 304 |
<div><strong>Task Type:</strong> <span id=\"task-type\"></span></div>
|
| 305 |
<div style=\"margin-top:8px\"><strong>Question</strong></div>
|
| 306 |
-
<div id=\"task-question\" class=\"muted\"></div>
|
| 307 |
-
<div style=\"margin-top:8px\"><strong>Answer</strong>: <span id=\"task-answer\"></span></div>
|
|
|
|
|
|
|
| 308 |
</section>
|
| 309 |
</div>
|
| 310 |
|
|
@@ -466,16 +490,31 @@ def export_dashboard(
|
|
| 466 |
canonical: payload.canonical_graph || {{ nodes: [], edges: [] }},
|
| 467 |
episode: payload.episode_graph || {{ nodes: [], edges: [] }}
|
| 468 |
}};
|
|
|
|
| 469 |
|
| 470 |
-
const
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 471 |
buildTypeFilters(allGroups);
|
| 472 |
|
| 473 |
const state = {{
|
| 474 |
mode: "canonical",
|
| 475 |
relationQuery: "",
|
| 476 |
nodeQuery: "",
|
|
|
|
| 477 |
}};
|
| 478 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 479 |
const nodesDS = new vis.DataSet([]);
|
| 480 |
const edgesDS = new vis.DataSet([]);
|
| 481 |
const network = new vis.Network(container, {{ nodes: nodesDS, edges: edgesDS }}, {{
|
|
@@ -501,7 +540,7 @@ def export_dashboard(
|
|
| 501 |
}}
|
| 502 |
|
| 503 |
function refresh() {{
|
| 504 |
-
const raw =
|
| 505 |
const groups = activeGroups();
|
| 506 |
const relQ = state.relationQuery.toLowerCase();
|
| 507 |
const nodeQ = state.nodeQuery.toLowerCase();
|
|
@@ -522,6 +561,12 @@ def export_dashboard(
|
|
| 522 |
state.mode = modeSelect.value;
|
| 523 |
refresh();
|
| 524 |
}});
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 525 |
relFilter.addEventListener("input", () => {{
|
| 526 |
state.relationQuery = relFilter.value || "";
|
| 527 |
refresh();
|
|
@@ -678,13 +723,62 @@ def export_dashboard(
|
|
| 678 |
}});
|
| 679 |
}}
|
| 680 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 681 |
const summary = payload.summary || {{}};
|
| 682 |
metricCards(summary);
|
| 683 |
|
| 684 |
-
|
| 685 |
-
document.getElementById("task-type").textContent = payload.task.task_type;
|
| 686 |
-
document.getElementById("task-question").textContent = payload.task.question;
|
| 687 |
-
document.getElementById("task-answer").textContent = payload.task.answer;
|
| 688 |
|
| 689 |
createNetworkController();
|
| 690 |
initDatabaseExplorer();
|
|
|
|
| 133 |
truth_edges = task.supporting_edges if task else []
|
| 134 |
pred_edges = env.memory_graph.edges if env.state else []
|
| 135 |
|
| 136 |
+
episode_graphs: list[dict[str, Any]] = []
|
| 137 |
+
for episode in episodes:
|
| 138 |
+
pred_from_eval = [Edge(str(e.get("src", "")), str(e.get("rel", "")), str(e.get("dst", "")), float(e.get("confidence", 1.0))) for e in episode.get("pred_edges", []) if isinstance(e, dict)]
|
| 139 |
+
truth_from_eval = [Edge(str(e.get("src", "")), str(e.get("rel", "")), str(e.get("dst", "")), float(e.get("confidence", 1.0))) for e in episode.get("truth_edges", []) if isinstance(e, dict)]
|
| 140 |
+
if pred_from_eval or truth_from_eval:
|
| 141 |
+
episode_graphs.append(_episode_graph_payload(pred_from_eval, truth_from_eval, env.graph))
|
| 142 |
+
|
| 143 |
+
if not episode_graphs:
|
| 144 |
+
episode_graphs.append(_episode_graph_payload(pred_edges, truth_edges, env.graph))
|
| 145 |
+
|
| 146 |
payload = {
|
| 147 |
"summary": summary,
|
| 148 |
"episodes": episodes,
|
| 149 |
"leaderboard": _leaderboard_payload(leaderboard_records),
|
| 150 |
"canonical_graph": _canonical_graph_payload(env.graph),
|
| 151 |
+
"episode_graphs": episode_graphs,
|
| 152 |
+
"episode_graph": episode_graphs[-1],
|
| 153 |
"views": _views_payload(env.views),
|
| 154 |
"task": {
|
| 155 |
"task_id": task.task_id if task else "n/a",
|
|
|
|
| 254 |
.legend {{ display: flex; gap: 8px; flex-wrap: wrap; margin-top: 8px; font-size: 12px; }}
|
| 255 |
.dot {{ width: 9px; height: 9px; border-radius: 999px; display: inline-block; margin-right: 4px; }}
|
| 256 |
.mono {{ font-family: \"IBM Plex Mono\", monospace; font-size: 12px; }}
|
| 257 |
+
.mono-box {{ font-family: \"IBM Plex Mono\", monospace; font-size: 12px; line-height: 1.4; }}
|
| 258 |
+
.answer-ok {{ color: var(--ok); font-weight: 600; }}
|
| 259 |
+
.answer-bad {{ color: var(--danger); font-weight: 600; }}
|
| 260 |
.inline {{ display: flex; gap: 8px; align-items: center; }}
|
| 261 |
.split {{ display: grid; grid-template-columns: 2fr 1.3fr; gap: 14px; margin-bottom: 14px; }}
|
| 262 |
.db-tabs {{ display: flex; gap: 6px; flex-wrap: wrap; margin-bottom: 8px; }}
|
|
|
|
| 313 |
<div class=\"stats\" id=\"stats\"></div>
|
| 314 |
</section>
|
| 315 |
<section class=\"card\">
|
| 316 |
+
<h2>Episode Explorer</h2>
|
| 317 |
+
<div class=\"inline\" style=\"margin-bottom:8px\">
|
| 318 |
+
<label class=\"mono\" for=\"episode-select\">Episode</label>
|
| 319 |
+
<select id=\"episode-select\" style=\"flex:1\"></select>
|
| 320 |
+
</div>
|
| 321 |
+
<div class=\"inline\" style=\"gap:6px; margin-bottom:8px\">
|
| 322 |
+
<button id=\"episode-prev\">Prev</button>
|
| 323 |
+
<button id=\"episode-next\">Next</button>
|
| 324 |
+
</div>
|
| 325 |
<div><strong>Task ID:</strong> <span id=\"task-id\"></span></div>
|
| 326 |
<div><strong>Task Type:</strong> <span id=\"task-type\"></span></div>
|
| 327 |
<div style=\"margin-top:8px\"><strong>Question</strong></div>
|
| 328 |
+
<div id=\"task-question\" class=\"muted mono-box\"></div>
|
| 329 |
+
<div style=\"margin-top:8px\"><strong>Ground Truth Answer</strong>: <span id=\"task-answer\"></span></div>
|
| 330 |
+
<div style=\"margin-top:8px\"><strong>Agent Answer</strong>: <span id=\"agent-answer\"></span></div>
|
| 331 |
+
<div style=\"margin-top:8px\"><strong>Correct</strong>: <span id=\"answer-correct\"></span></div>
|
| 332 |
</section>
|
| 333 |
</div>
|
| 334 |
|
|
|
|
| 490 |
canonical: payload.canonical_graph || {{ nodes: [], edges: [] }},
|
| 491 |
episode: payload.episode_graph || {{ nodes: [], edges: [] }}
|
| 492 |
}};
|
| 493 |
+
const episodeLayers = payload.episode_graphs || [];
|
| 494 |
|
| 495 |
+
const groupSet = new Set();
|
| 496 |
+
(rawLayers.canonical.nodes || []).forEach((n) => groupSet.add(n.group || "unknown"));
|
| 497 |
+
(episodeLayers || []).forEach((layer) => {{
|
| 498 |
+
(layer.nodes || []).forEach((n) => groupSet.add(n.group || "unknown"));
|
| 499 |
+
}});
|
| 500 |
+
const allGroups = Array.from(groupSet).sort();
|
| 501 |
buildTypeFilters(allGroups);
|
| 502 |
|
| 503 |
const state = {{
|
| 504 |
mode: "canonical",
|
| 505 |
relationQuery: "",
|
| 506 |
nodeQuery: "",
|
| 507 |
+
selectedEpisode: Math.max(0, (payload.episodes || []).length - 1),
|
| 508 |
}};
|
| 509 |
|
| 510 |
+
function currentEpisodeLayer() {{
|
| 511 |
+
if (!episodeLayers.length) {{
|
| 512 |
+
return rawLayers.episode;
|
| 513 |
+
}}
|
| 514 |
+
const idx = Math.max(0, Math.min(episodeLayers.length - 1, Number(state.selectedEpisode || 0)));
|
| 515 |
+
return episodeLayers[idx] || rawLayers.episode;
|
| 516 |
+
}}
|
| 517 |
+
|
| 518 |
const nodesDS = new vis.DataSet([]);
|
| 519 |
const edgesDS = new vis.DataSet([]);
|
| 520 |
const network = new vis.Network(container, {{ nodes: nodesDS, edges: edgesDS }}, {{
|
|
|
|
| 540 |
}}
|
| 541 |
|
| 542 |
function refresh() {{
|
| 543 |
+
const raw = state.mode === "episode" ? currentEpisodeLayer() : rawLayers.canonical;
|
| 544 |
const groups = activeGroups();
|
| 545 |
const relQ = state.relationQuery.toLowerCase();
|
| 546 |
const nodeQ = state.nodeQuery.toLowerCase();
|
|
|
|
| 561 |
state.mode = modeSelect.value;
|
| 562 |
refresh();
|
| 563 |
}});
|
| 564 |
+
document.addEventListener("osint-episode-change", (event) => {{
|
| 565 |
+
state.selectedEpisode = Number(event.detail?.index || 0);
|
| 566 |
+
if (state.mode === "episode") {{
|
| 567 |
+
refresh();
|
| 568 |
+
}}
|
| 569 |
+
}});
|
| 570 |
relFilter.addEventListener("input", () => {{
|
| 571 |
state.relationQuery = relFilter.value || "";
|
| 572 |
refresh();
|
|
|
|
| 723 |
}});
|
| 724 |
}}
|
| 725 |
|
| 726 |
+
function initEpisodeExplorer() {{
|
| 727 |
+
const episodes = payload.episodes || [];
|
| 728 |
+
const select = document.getElementById("episode-select");
|
| 729 |
+
const prevBtn = document.getElementById("episode-prev");
|
| 730 |
+
const nextBtn = document.getElementById("episode-next");
|
| 731 |
+
|
| 732 |
+
function fillFromEpisode(ep) {{
|
| 733 |
+
const fallback = payload.task || {{}};
|
| 734 |
+
const taskId = ep?.task_id || fallback.task_id || "n/a";
|
| 735 |
+
const taskType = ep?.task_type || fallback.task_type || "n/a";
|
| 736 |
+
const question = ep?.question || fallback.question || "n/a";
|
| 737 |
+
const truth = ep?.task_answer ?? fallback.answer ?? "n/a";
|
| 738 |
+
const agent = ep?.agent_answer ?? "";
|
| 739 |
+
const isCorrect = String(agent) === String(truth);
|
| 740 |
+
|
| 741 |
+
document.getElementById("task-id").textContent = taskId;
|
| 742 |
+
document.getElementById("task-type").textContent = taskType;
|
| 743 |
+
document.getElementById("task-question").textContent = question;
|
| 744 |
+
document.getElementById("task-answer").textContent = truth;
|
| 745 |
+
document.getElementById("agent-answer").textContent = agent || "(no answer)";
|
| 746 |
+
|
| 747 |
+
const correctEl = document.getElementById("answer-correct");
|
| 748 |
+
correctEl.textContent = isCorrect ? "yes" : "no";
|
| 749 |
+
correctEl.className = isCorrect ? "answer-ok" : "answer-bad";
|
| 750 |
+
}}
|
| 751 |
+
|
| 752 |
+
if (!episodes.length) {{
|
| 753 |
+
select.innerHTML = "<option value='-1'>latest</option>";
|
| 754 |
+
fillFromEpisode(null);
|
| 755 |
+
prevBtn.disabled = true;
|
| 756 |
+
nextBtn.disabled = true;
|
| 757 |
+
return;
|
| 758 |
+
}}
|
| 759 |
+
|
| 760 |
+
select.innerHTML = episodes
|
| 761 |
+
.map((ep, idx) => `<option value=\"${{idx}}\">ep_${{idx + 1}} | ${{ep.task_type || \"task\"}} | reward=${{Number(ep.reward || 0).toFixed(3)}}</option>`)
|
| 762 |
+
.join("");
|
| 763 |
+
select.value = String(Math.max(0, episodes.length - 1));
|
| 764 |
+
|
| 765 |
+
function sync(delta = 0) {{
|
| 766 |
+
const current = Math.max(0, Math.min(episodes.length - 1, Number(select.value || 0) + delta));
|
| 767 |
+
select.value = String(current);
|
| 768 |
+
fillFromEpisode(episodes[current]);
|
| 769 |
+
document.dispatchEvent(new CustomEvent("osint-episode-change", {{ detail: {{ index: current }} }}));
|
| 770 |
+
}}
|
| 771 |
+
|
| 772 |
+
select.addEventListener("change", () => sync(0));
|
| 773 |
+
prevBtn.addEventListener("click", () => sync(-1));
|
| 774 |
+
nextBtn.addEventListener("click", () => sync(1));
|
| 775 |
+
sync(0);
|
| 776 |
+
}}
|
| 777 |
+
|
| 778 |
const summary = payload.summary || {{}};
|
| 779 |
metricCards(summary);
|
| 780 |
|
| 781 |
+
initEpisodeExplorer();
|
|
|
|
|
|
|
|
|
|
| 782 |
|
| 783 |
createNetworkController();
|
| 784 |
initDatabaseExplorer();
|
tests/test_dashboard.py
CHANGED
|
@@ -23,3 +23,4 @@ def test_dashboard_export(tmp_path: Path):
|
|
| 23 |
assert "Canonical Graph" in text
|
| 24 |
assert "Original Database Explorer" in text
|
| 25 |
assert "Benchmark Leaderboard" in text
|
|
|
|
|
|
| 23 |
assert "Canonical Graph" in text
|
| 24 |
assert "Original Database Explorer" in text
|
| 25 |
assert "Benchmark Leaderboard" in text
|
| 26 |
+
assert "Episode Explorer" in text
|
tests/test_eval.py
CHANGED
|
@@ -19,3 +19,15 @@ def test_eval_runner_swarm_mode():
|
|
| 19 |
result = run_evaluation(env, episodes=2)
|
| 20 |
assert "spawn_signal" in result
|
| 21 |
assert "avg_spawn_count" in result
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
result = run_evaluation(env, episodes=2)
|
| 20 |
assert "spawn_signal" in result
|
| 21 |
assert "avg_spawn_count" in result
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
def test_eval_runner_details_include_episode_answers():
|
| 25 |
+
env = OSINTEnvironment(EnvironmentConfig(seed=17))
|
| 26 |
+
result = run_evaluation(env, episodes=2, return_details=True)
|
| 27 |
+
assert "episodes" in result
|
| 28 |
+
assert len(result["episodes"]) == 2
|
| 29 |
+
|
| 30 |
+
row = result["episodes"][0]
|
| 31 |
+
assert "question" in row
|
| 32 |
+
assert "task_answer" in row
|
| 33 |
+
assert "agent_answer" in row
|