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docs: add evaluation log submission template

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README.md ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - en
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+ tags:
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+ - robotics
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+ - benchmark
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+ - evaluation
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+ ---
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+
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+ # 🧪 Bench2Dex Leaderboard Logs
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+
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+ Community evaluation logs for the [Bench2Dex leaderboard](https://bench2dex.github.io/Bench2Dex-Leaderboard/). Submit your policy's README, results JSON, and organization logo separately to the [GitHub leaderboard repository](https://github.com/Bench2Dex/Bench2Dex-Leaderboard#readme).
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+
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+ ## 📦 Submit your policy logs
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+
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+ Copy [policy_template/](policy_template/), rename the policy directory and results JSON, and place your policy directly at the repository root:
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+
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+ ```text
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+ <policy_id>/
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+ ├── README.md
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+ ├── leaderboard_<policy_id>.json
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+ └── per_task_eval/
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+ └── <task_id>_<task_name>/
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+ └── <channel>/
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+ ├── per_episode.jsonl
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+ └── summary.json
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+ ```
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+
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+ The example logs mirror native Bench2Dex output, with `null` placeholders. Replace them with your complete sanitized evaluation files and remove unused example directories; do not fill the examples by hand.
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+
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+ Copy the README/results JSON from your GitHub submission. Use the same policy ID in the directory, filename, and `model.id`.
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+
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+ - Submit the **original `per_episode.jsonl` and `summary.json` generated by Bench2Dex**, after sanitization. Preserve the full native JSON structure, fields, and units. **Do not convert logs to another schema or add template fields.**
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+ - Include all successful, failed, and error episodes from one selected run per task/channel. Report actual episode counts, budgets, and protocol changes.
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+ - Submit at least **Full** results and logs; all four channels and SR, LSCR, Eff. are encouraged. List all 26 tasks in the results JSON, using `null` (NR) for missing scores.
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+ - Results JSON channel keys are **None, Equi., Inv., Full**; directory names are **None, Equi, Inv, Full**. Retain the original channel metadata inside the native files.
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+ - Only the leaderboard results JSON uses SR/LSCR percentages on **0–100** and Eff. as a ratio. Keep native log values unchanged; compute the published scores using the [metric definitions](https://bench2dex.github.io/Bench2Dex-Leaderboard/#protocol-notes).
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+ - In the results JSON, use `source.runId` to identify the selected run and paths relative to `<policy_id>/` for `source.perEpisodeFile` and `source.summaryFile`. Set `evaluation.logs.repository` to `Bench2Dex/Leaderboard` and `policyPath` to your policy ID. These submission references do not need to be added to the native logs.
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+
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+ ## 🤝 Review
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+
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+ Open PRs against **main** here and in the [GitHub leaderboard repository](https://github.com/Bench2Dex/Bench2Dex-Leaderboard#readme), then cross-link them. Policy IDs, scores, coverage, and protocol must agree. Authors may leave `evaluation.logs.revision` as `null`; after log review, maintainers record the accepted HF commit in the GitHub results JSON before publishing the entry.
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+
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+ ## 🔒 Privacy and permissions
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+
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+ Replace private absolute paths with relative paths or consistent anonymized identifiers, including nested asset paths and error messages. Redact credentials, personal/confidential information, internal URLs, and restricted content in files, media, links, and PR descriptions. Preserve native fields, metrics, episode counts, seeds, task/channel identity, and randomization/protocol metadata. Confirm publication rights under applicable licenses and data-use terms.
policy_template/README.md ADDED
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+ # Model Name
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+
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+ [Project website](https://example.org/)
policy_template/leaderboard_policy_template.json ADDED
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+ {
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+ "model": {
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+ "id": "policy_template",
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+ "label": "MODEL_NAME",
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+ "variantLabel": "",
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+ "family": "MODEL_NAME",
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+ "modelVersion": "MODEL_VERSION",
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+ "checkpoint": null,
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+ "inputs": null,
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+ "protocolId": "standard",
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+ "displayOrder": 10,
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+ "trainingSetting": null,
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+ "resultVersion": null,
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+ "updatedAt": null,
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+ "evaluationSetting": null,
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+ "sourceLabel": "Evaluation logs",
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+ "sourceUrl": null,
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+ "resultDetailsUrl": null,
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+ "contributor": "CONTRIBUTING_ORGANIZATION",
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+ "contributorUrl": null,
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+ "type": "MODEL_TYPE",
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+ "modelUrl": null,
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+ "logoPath": "leaderboard/policy_template/logo.svg",
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+ "logoAlt": null,
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+ "weightsUrl": null,
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+ "codeUrl": null
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+ },
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+ "overall": {
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+ "taskCount": 26,
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+ "scope": "task-macro",
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+ "lscr": null,
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+ "Full": null
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+ },
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+ "channelLscr": {
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+ },
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+ "channelTaskCounts": {
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+ "None": 0,
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+ "Equi.": 0,
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+ "Inv.": 0,
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+ "Full": 0
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+ }
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+ },
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+ "per_task": {
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+ }
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+ "srEpisodes": null,
1168
+ "lscr": null,
1169
+ "lscrScope": "four-channel-mean",
1170
+ "lscrEpisodes": null,
1171
+ "efficiency": null,
1172
+ "efficiencyStatus": "not-reported"
1173
+ }
1174
+ }
1175
+ },
1176
+ "evaluation": {
1177
+ "schemaVersion": "1.0",
1178
+ "isTemplate": true,
1179
+ "protocol": {
1180
+ "benchmarkCommit": null,
1181
+ "taskCount": 26,
1182
+ "channels": [
1183
+ "None",
1184
+ "Equi.",
1185
+ "Inv.",
1186
+ "Full"
1187
+ ],
1188
+ "episodesPerChannel": 50,
1189
+ "seeds": null,
1190
+ "stepUnit": "physics_steps",
1191
+ "physicsHz": null,
1192
+ "controlHz": null,
1193
+ "executionStepBudget": null,
1194
+ "expertReference": null,
1195
+ "protocolChanges": null
1196
+ },
1197
+ "coverage": {
1198
+ "evaluatedTaskCount": 0,
1199
+ "evaluatedEpisodeCount": 0,
1200
+ "completedTaskCount": {
1201
+ "None": 0,
1202
+ "Equi.": 0,
1203
+ "Inv.": 0,
1204
+ "Full": 0,
1205
+ "mean": 0
1206
+ },
1207
+ "expectedFullEpisodeCount": 1300,
1208
+ "expectedFourChannelEpisodeCount": 5200,
1209
+ "missingTaskChannels": {
1210
+ "12": [
1211
+ "None",
1212
+ "Equi.",
1213
+ "Inv.",
1214
+ "Full"
1215
+ ],
1216
+ "21": [
1217
+ "None",
1218
+ "Equi.",
1219
+ "Inv.",
1220
+ "Full"
1221
+ ],
1222
+ "22": [
1223
+ "None",
1224
+ "Equi.",
1225
+ "Inv.",
1226
+ "Full"
1227
+ ],
1228
+ "24": [
1229
+ "None",
1230
+ "Equi.",
1231
+ "Inv.",
1232
+ "Full"
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+ ],
1234
+ "26": [
1235
+ "None",
1236
+ "Equi.",
1237
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1238
+ "Full"
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+ ],
1240
+ "27": [
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+ ],
1246
+ "32": [
1247
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1248
+ "Equi.",
1249
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1250
+ "Full"
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+ ],
1252
+ "34": [
1253
+ "None",
1254
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1255
+ "Inv.",
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+ "Full"
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+ ],
1258
+ "42": [
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1260
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+ "Full"
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+ ],
1264
+ "43": [
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1266
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+ ],
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+ "Full"
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+ ],
1276
+ "51": [
1277
+ "None",
1278
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1279
+ "Inv.",
1280
+ "Full"
1281
+ ],
1282
+ "60": [
1283
+ "None",
1284
+ "Equi.",
1285
+ "Inv.",
1286
+ "Full"
1287
+ ],
1288
+ "61": [
1289
+ "None",
1290
+ "Equi.",
1291
+ "Inv.",
1292
+ "Full"
1293
+ ],
1294
+ "62": [
1295
+ "None",
1296
+ "Equi.",
1297
+ "Inv.",
1298
+ "Full"
1299
+ ],
1300
+ "64": [
1301
+ "None",
1302
+ "Equi.",
1303
+ "Inv.",
1304
+ "Full"
1305
+ ],
1306
+ "67": [
1307
+ "None",
1308
+ "Equi.",
1309
+ "Inv.",
1310
+ "Full"
1311
+ ],
1312
+ "73": [
1313
+ "None",
1314
+ "Equi.",
1315
+ "Inv.",
1316
+ "Full"
1317
+ ],
1318
+ "76": [
1319
+ "None",
1320
+ "Equi.",
1321
+ "Inv.",
1322
+ "Full"
1323
+ ],
1324
+ "79": [
1325
+ "None",
1326
+ "Equi.",
1327
+ "Inv.",
1328
+ "Full"
1329
+ ],
1330
+ "80": [
1331
+ "None",
1332
+ "Equi.",
1333
+ "Inv.",
1334
+ "Full"
1335
+ ],
1336
+ "03": [
1337
+ "None",
1338
+ "Equi.",
1339
+ "Inv.",
1340
+ "Full"
1341
+ ],
1342
+ "06": [
1343
+ "None",
1344
+ "Equi.",
1345
+ "Inv.",
1346
+ "Full"
1347
+ ],
1348
+ "07": [
1349
+ "None",
1350
+ "Equi.",
1351
+ "Inv.",
1352
+ "Full"
1353
+ ],
1354
+ "08": [
1355
+ "None",
1356
+ "Equi.",
1357
+ "Inv.",
1358
+ "Full"
1359
+ ],
1360
+ "09": [
1361
+ "None",
1362
+ "Equi.",
1363
+ "Inv.",
1364
+ "Full"
1365
+ ]
1366
+ }
1367
+ },
1368
+ "aggregation": {
1369
+ "units": {
1370
+ "sr": "percent",
1371
+ "lscr": "percent",
1372
+ "efficiency": "ratio",
1373
+ "steps": "physics_steps"
1374
+ },
1375
+ "sr": "100 * successes / episodes per task/channel; equal channel mean per task; equal task mean over all 26 settings.",
1376
+ "lscr": "100 * mean episode latched_stage_completion_rate, including failures; equal channel mean per task; equal task mean over all 26 settings.",
1377
+ "efficiency": "expert_time_step / mean successful steps_to_stable_success. Pool successful episodes across all four channels before calculating task mean efficiency. Overall values average task efficiencies over tasks with success; report valid-task counts.",
1378
+ "missing": "null means unreported (NR). Efficiency without successes is null with no-success status. Valid-task counts are null when unreported, and 0 for an evaluated scope without successes.",
1379
+ "scope": "Overall channel aggregates require all 26 settings. Four-channel means require all four channels. Never substitute Full-only scores for means or include duplicate reruns."
1380
+ },
1381
+ "logs": {
1382
+ "repository": "Bench2Dex/Leaderboard",
1383
+ "policyPath": "policy_template",
1384
+ "revision": null,
1385
+ "status": "not-archived"
1386
+ }
1387
+ }
1388
+ }
policy_template/per_task_eval/03_wine_glass_plate_balance/Equi/per_episode.jsonl ADDED
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policy_template/per_task_eval/03_wine_glass_plate_balance/Equi/summary.json ADDED
@@ -0,0 +1,213 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "MODEL_NAME",
5
+ "base_seed": null,
6
+ "seed_policy": null,
7
+ "randomization_recorded": null,
8
+ "n_episodes": null,
9
+ "successes": null,
10
+ "error_count": null,
11
+ "evaluation_protocol": null,
12
+ "early_stop": null,
13
+ "success_definition": null,
14
+ "measurement_window": null,
15
+ "max_episode_steps": null,
16
+ "dwell_time_s": null,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": null,
50
+ "success_rate_ci": {
51
+ "mean": null,
52
+ "ci_low": null,
53
+ "ci_high": null
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": null
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": null
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": null,
64
+ "hard_violation_rate": null,
65
+ "drop_rate": null,
66
+ "high_speed_violation_rate": null,
67
+ "safety_violation_step_rate": null
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
73
+ "ever_instant_success_rate": null,
74
+ "at_end_success_rate": null,
75
+ "task_family_success_rate": {
76
+ "table_setting": null
77
+ }
78
+ },
79
+ "progress": {
80
+ "current_stage_completion_rate": null,
81
+ "current_chain_depth_progress_score": null,
82
+ "latched_chain_depth_progress_score": null,
83
+ "avg_current_chain_depth": null,
84
+ "avg_latched_chain_depth": null
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": null,
88
+ "expert_time_s": null,
89
+ "expert_time_step": null,
90
+ "avg_steps_to_success": null,
91
+ "avg_policy_steps_to_success": null,
92
+ "avg_policy_queries_to_success": null
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": null,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_194_wineglass_1": null,
98
+ "drop_to_table_obj_194_wineglass_2": null,
99
+ "drop_to_table_obj_194_wineglass_3": null
100
+ },
101
+ "robot_constraint_violation_rate": null,
102
+ "finger_joint_limit_saturation_rate": null,
103
+ "joint_limit_active_step_rate": null,
104
+ "finger_joint_limit_saturation_step_rate": null,
105
+ "max_joint_limit_excess_rad": null,
106
+ "robot_constraint_diagnostics": {
107
+ "joint_limit_soft_counts": {
108
+ "multi_pinky_q1": null,
109
+ "multi_ring_q2": null,
110
+ "pinky_q1": null,
111
+ "ring_q1": null,
112
+ "ring_q2": null
113
+ },
114
+ "joint_limit_hard_counts": {
115
+ "multi_pinky_q1": null,
116
+ "multi_ring_q2": null,
117
+ "pinky_q1": null,
118
+ "ring_q1": null,
119
+ "ring_q2": null
120
+ },
121
+ "joint_limit_hard_episode_events": null,
122
+ "finger_joint_limit_saturation_counts": {
123
+ "pinky_q1": null
124
+ },
125
+ "joint_limit_max_excess_by_joint": {
126
+ "index_q1": null,
127
+ "index_q2": null,
128
+ "middle_q1": null,
129
+ "middle_q2": null,
130
+ "multi_index_q1": null,
131
+ "multi_index_q2": null,
132
+ "multi_middle_q1": null,
133
+ "multi_middle_q2": null,
134
+ "multi_pinky_q1": null,
135
+ "multi_pinky_q2": null,
136
+ "multi_ring_q1": null,
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+ "multi_ring_q2": null,
138
+ "multi_thumb_q1": null,
139
+ "multi_thumb_q2": null,
140
+ "pinky_q1": null,
141
+ "pinky_q2": null,
142
+ "ring_q1": null,
143
+ "ring_q2": null,
144
+ "thumb_q1": null,
145
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policy_template/per_task_eval/03_wine_glass_plate_balance/Full/summary.json ADDED
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1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "MODEL_NAME",
5
+ "base_seed": null,
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+ "seed_policy": null,
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+ "randomization_recorded": null,
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+ "n_episodes": null,
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+ "early_stop": null,
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+ "dwell_time_s": null,
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+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
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+ },
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+ "core_metrics": {
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+ "avg_current_chain_depth": null,
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+ "avg_latched_chain_depth": null
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+ "drop_to_table_obj_194_wineglass_2": null,
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+ "drop_to_table_obj_194_wineglass_3": null
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+ "robot_constraint_violation_rate": null,
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+ "finger_joint_limit_saturation_rate": null,
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+ "joint_limit_hard_counts": {
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+ "pinky_q1": null,
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+ "ring_q1": null,
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+ "finger_joint_limit_saturation_counts": {
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+ "joint_limit_max_excess_by_joint": {
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+ "index_q1": null,
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+ "hard_limit_sources": {
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+ "soft_limit_sources": {
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+ }
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+ }
policy_template/per_task_eval/03_wine_glass_plate_balance/Inv/per_episode.jsonl ADDED
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+ {
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+ "metric_schema_version": "core-v1.8-policy-step-query-split",
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+ "metadata": {
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+ "policy_name": "MODEL_NAME",
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+ "base_seed": null,
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+ "seed_policy": null,
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+ "randomization_recorded": null,
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+ "n_episodes": null,
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+ "successes": null,
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+ "max_episode_steps": null,
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+ "dwell_time_s": null,
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+ "field_semantics": {
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+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
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+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
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+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
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+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
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+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
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+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
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+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
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+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
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+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
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+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
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+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
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+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
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+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
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+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
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+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
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+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
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+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
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+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
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+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
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+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
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+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
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+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
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+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
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+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
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+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
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+ "drop_to_table_obj_194_wineglass_2": null,
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+ "robot_constraint_diagnostics": {
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+ "index_q1": null,
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+ "hard_limit_source": {
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+ "baseline_checks": {
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policy_template/per_task_eval/03_wine_glass_plate_balance/None/summary.json ADDED
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+ {
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+ "metric_schema_version": "core-v1.8-policy-step-query-split",
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+ "metadata": {
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+ "policy_name": "MODEL_NAME",
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+ "base_seed": null,
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+ "seed_policy": null,
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+ "randomization_recorded": null,
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+ "n_episodes": null,
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+ "successes": null,
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+ "early_stop": null,
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+ "success_definition": null,
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+ "measurement_window": null,
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+ "max_episode_steps": null,
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+ "dwell_time_s": null,
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+ "field_semantics": {
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+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
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+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
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+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
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+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
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+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
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+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
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+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
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+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
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+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
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+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
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+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
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+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
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+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
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+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
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+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
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+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
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+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
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+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
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+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
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+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
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+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
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+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
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+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
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+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
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+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
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+ }
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+ },
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+ "core_metrics": {
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+ "success_rate": null,
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+ "success_rate_ci": {
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+ "drop_to_table_obj_194_wineglass_2": null,
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+ "robot_constraint_violation_rate": null,
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+ "finger_joint_limit_saturation_rate": null,
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+ "robot_constraint_diagnostics": {
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+ "joint_limit_soft_counts": {
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+ "multi_pinky_q1": null,
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+ "joint_limit_hard_counts": {
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+ "pinky_q1": null,
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+ "ring_q1": null,
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+ "joint_limit_hard_episode_events": null,
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+ "finger_joint_limit_saturation_counts": {
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+ "pinky_q1": null
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+ "joint_limit_max_excess_by_joint": {
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+ "index_q1": null,
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+ "index_q2": null,
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+ "middle_q1": null,
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+ "middle_q2": null,
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+ "coverage": {
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+ "hard_limit_source": {
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+ "available": null,
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+ "unavailable": null,
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+ "unknown": null
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+ },
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+ "joint_role_manifest": {
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+ "available": null,
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+ "unavailable": null,
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+ "unknown": null
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+ }
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+ },
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+ "hard_limit_sources": {
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+ "runtime.joint_pos_limits": null
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+ },
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+ "soft_limit_sources": {
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+ "runtime.soft_joint_pos_limits": null
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+ },
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+ "unknown_runtime_joint_names": [],
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+ "baseline_checks": {
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+ "post_home": {
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+ "checked": null,
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+ "hard_violation_episodes": null
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+ },
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+ "post_reset": {
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+ "checked": null,
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+ "hard_violation_episodes": null
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+ }
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+ }
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+ }
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+ },
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+ "robot_motion": {
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+ "joint_velocity_rms": null
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+ },
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+ "grasp": {
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+ "kinematic_grasp_stability_index": null,
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+ "per_object_best_kinematic_grasp_stability": {
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+ "obj_194_wineglass_2": null,
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+ "obj_194_wineglass_3": null
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+ "mean_anti_slip_score": null,
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+ "mean_duration_score": null,
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+ "mean_lift_score": null,
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+ }
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+ "tool": {
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