diff --git "a/data.json" "b/data.json" --- "a/data.json" +++ "b/data.json" @@ -2,11 +2,11 @@ "schema": "rlebench/benchmark-publication/1", "title": "Codex Benchmark", "complete": true, - "complete_scope": "Publication snapshot; pending evaluations remain explicitly indexed.", + "complete_scope": "All 62 tasks in the three published simulator families.", "benchmark_complete": true, - "edition": "plain-codex-astra-high-seed0", + "edition": "plain-codex-astra-high-seed0-robocasa-libero-robodojo", "created_at": "2026-10-09T00:09:42.989838+00:00", - "updated_at": "2026-10-09T06:18:06.994548+00:00", + "updated_at": "2026-10-09T18:20:04.125252+00:00", "model": "gpt-6-astra", "effort": "high", "seed": 0, @@ -16,10 +16,50 @@ "dataset_resolve": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/" }, "summary": { - "planned_tasks": 42, - "published_results": 42, + "planned_tasks": 62, + "published_results": 62, "pending_tasks": 0, "families": [ + { + "id": "task01", + "name": "RoboCasa", + "total": 10, + "completed": 10, + "pending": 0, + "successes": 2, + "valid_results": 10, + "success_rate": 0.2, + "input_tokens": 63285354, + "cached_input_tokens": 62436736, + "output_tokens": 204733, + "usage_complete": 10, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "preflight_results": 0, + "formal_results": 10, + "modified_results": 10, + "original_results": 0 + }, + { + "id": "task02", + "name": "LIBERO Long", + "total": 10, + "completed": 10, + "pending": 0, + "successes": 9, + "valid_results": 10, + "success_rate": 0.9, + "input_tokens": 12586499, + "cached_input_tokens": 12106752, + "output_tokens": 93969, + "usage_complete": 10, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "preflight_results": 0, + "formal_results": 10, + "modified_results": 5, + "original_results": 5 + }, { "id": "task04", "name": "RoboDojo", @@ -42,19 +82,59 @@ } ], "progress": { - "finished": 42, - "interrupted": 0, - "native_failures": 11, - "native_successes": 31, - "needs_review": 0, + "finished": 62, + "running": 0, "queued": 0, - "running": 0 + "needs_review": 0, + "interrupted": 0, + "native_successes": 42, + "native_failures": 20 }, "interrupted_attempts": 4, "usage_incomplete_tasks": [], "execution_incomplete_tasks": [] }, "families": [ + { + "id": "task01", + "name": "RoboCasa", + "total": 10, + "completed": 10, + "pending": 0, + "successes": 2, + "valid_results": 10, + "success_rate": 0.2, + "input_tokens": 63285354, + "cached_input_tokens": 62436736, + "output_tokens": 204733, + "usage_complete": 10, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "preflight_results": 0, + "formal_results": 10, + "modified_results": 10, + "original_results": 0 + }, + { + "id": "task02", + "name": "LIBERO Long", + "total": 10, + "completed": 10, + "pending": 0, + "successes": 9, + "valid_results": 10, + "success_rate": 0.9, + "input_tokens": 12586499, + "cached_input_tokens": 12106752, + "output_tokens": 93969, + "usage_complete": 10, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "preflight_results": 0, + "formal_results": 10, + "modified_results": 5, + "original_results": 5 + }, { "id": "task04", "name": "RoboDojo", @@ -78,54 +158,74 @@ ], "tasks": [ { - "key": "task04/01", - "family": "task04", + "key": "task01/01", + "family": "task01", "slot": "01", - "native_id": "robodojo/make-toast", - "title": "Make toast", - "catalog_instruction": "Place two bread slices upright in the toaster, one per slot, leaving the other two on the rack. Press the lever down, then return both arms to their starting poses.", - "native_instruction": "Pick up two slices of bread, place them into the toaster, and press the lever down.", + "native_id": "robocasa/load-condiments-in-fridge", + "title": "Load condiments in fridge", + "catalog_instruction": "Place the specified condiments from the counter on the top shelf of the fridge. Move any existing top-shelf items to other shelves. Release the items and move the gripper clear of the stored items.", + "native_instruction": "Place the {condiment1} and {condiment2} from the counter to the top shelf of the fridge. If the existing items in the fridge are on the top shelf, move them to other shelves.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-01-seed0-formal", + "episode_id": "task01-01-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", "instruction_policy": "modified" }, + "catalog_id": "robocasa/load-condiments-in-fridge", + "native_identity": { + "task_name": "LoadCondimentsInFridge", + "max_steps": 6000 + }, "instruction_revision": { - "native_instruction": "Pick up two slices of bread, place them into the toaster, and press the lever down.", - "instruction": "Place two bread slices upright in the toaster, one per slot, leaving the other two on the rack. Press the lever down, then return both arms to their starting poses.", - "native_instruction_kind": "episode", + "native_instruction": "Place the {condiment1} and {condiment2} from the counter to the top shelf of the fridge. If the existing items in the fridge are on the top shelf, move them to other shelves.", + "instruction": "Place the specified condiments from the counter on the top shelf of the fridge. Move any existing top-shelf items to other shelves. Release the items and move the gripper clear of the stored items.", + "native_instruction_kind": "source", "diff": [ + { + "op": "equal", + "original": "Place the ", + "modified": "Place the " + }, { "op": "replace", - "original": "Pick up", - "modified": "Place" + "original": "{condiment1}", + "modified": "specified" }, { "op": "equal", - "original": " two ", - "modified": " two " + "original": " ", + "modified": " " }, { - "op": "insert", - "original": "", - "modified": "bread " + "op": "replace", + "original": "and {condiment2}", + "modified": "condiments" }, { "op": "equal", - "original": "slices ", - "modified": "slices " + "original": " from the counter ", + "modified": " from the counter " }, { "op": "replace", - "original": "of", - "modified": "upright" + "original": "to", + "modified": "on" + }, + { + "op": "equal", + "original": " the top shelf of the fridge. ", + "modified": " the top shelf of the fridge. " + }, + { + "op": "replace", + "original": "If", + "modified": "Move" }, { "op": "equal", @@ -134,327 +234,403 @@ }, { "op": "replace", - "original": "bread, place them into", - "modified": "in" + "original": "the", + "modified": "any" }, { "op": "equal", - "original": " the toaster, ", - "modified": " the toaster, " + "original": " existing ", + "modified": " existing " }, { - "op": "replace", - "original": "and", - "modified": "one" + "op": "insert", + "original": "", + "modified": "top-shelf " }, { "op": "equal", - "original": " ", - "modified": " " + "original": "items", + "modified": "items" }, { - "op": "replace", - "original": "press", - "modified": "per slot, leaving the other two on the rack. Press" + "op": "delete", + "original": " in the fridge are on the top shelf, move them", + "modified": "" }, { "op": "equal", - "original": " the lever ", - "modified": " the lever " + "original": " to other shelves.", + "modified": " to other shelves." }, { - "op": "replace", - "original": "down.", - "modified": "down, then return both arms to their starting poses." + "op": "insert", + "original": "", + "modified": " Release the items and move the gripper clear of the stored items." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/01-robodojo-make-toast/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/01-load-condiments-in-fridge/task.yaml" }, - "display_slot": "01", - "display_key": "task04/01", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [ - { - "id": "01-robodojo-make-toast-codex-seed0-attempt01", - "execution": { - "reason": "process_error", - "status": "interrupted" - }, - "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/provenance.json" - } - } - ] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/02", - "family": "task04", + "key": "task01/02", + "family": "task01", "slot": "02", - "native_id": "robodojo/classify-objects-by-language", - "title": "Classify objects by language", - "catalog_instruction": "Complete the benchmark task: classify objects by language.", - "native_instruction": "Put car objects into the left basket, watch objects into the middle basket, and wooden_toy objects into the right basket, then reset the robot arm.", - "instruction_source": "runtime native task.instruction", + "native_id": "robocasa/filter-microwavable-item", + "title": "Filter microwavable item", + "catalog_instruction": "Remove the specified fruit from the bowl and place it on the small plate. Then place the bowl with only the specified meat in the microwave, close the door, and press the start button to microwave the meat. Release the bowl and move the gripper clear of it.", + "native_instruction": "Remove the {fruit} from the bowl and place it on the small plate. Then place the bowl with only the {meat} in the microwave, close the door, and press the start button to microwave the {meat}.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-02-seed0-formal", + "episode_id": "task01-02-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", - "instruction_policy": "original_native" + "instruction_policy": "modified" + }, + "catalog_id": "robocasa/filter-microwavable-item", + "native_identity": { + "task_name": "FilterMicrowavableItem", + "max_steps": 6000 + }, + "instruction_revision": { + "native_instruction": "Remove the {fruit} from the bowl and place it on the small plate. Then place the bowl with only the {meat} in the microwave, close the door, and press the start button to microwave the {meat}.", + "instruction": "Remove the specified fruit from the bowl and place it on the small plate. Then place the bowl with only the specified meat in the microwave, close the door, and press the start button to microwave the meat. Release the bowl and move the gripper clear of it.", + "native_instruction_kind": "source", + "diff": [ + { + "op": "equal", + "original": "Remove the ", + "modified": "Remove the " + }, + { + "op": "replace", + "original": "{fruit}", + "modified": "specified fruit" + }, + { + "op": "equal", + "original": " from the bowl and place it on the small plate. Then place the bowl with only the ", + "modified": " from the bowl and place it on the small plate. Then place the bowl with only the " + }, + { + "op": "replace", + "original": "{meat}", + "modified": "specified meat" + }, + { + "op": "equal", + "original": " in the microwave, close the door, and press the start button to microwave the ", + "modified": " in the microwave, close the door, and press the start button to microwave the " + }, + { + "op": "replace", + "original": "{meat}.", + "modified": "meat. Release the bowl and move the gripper clear of it." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/02-filter-microwavable-item/task.yaml" }, - "display_slot": "02", - "display_key": "task04/02", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/03", - "family": "task04", + "key": "task01/03", + "family": "task01", "slot": "03", - "native_id": "robodojo/store-laptop-and-headphones", - "title": "Store laptop and headphones", - "catalog_instruction": "Hang the headphones by the middle of their headband, aligned with the stand cradle so both earcups hang evenly below it. Close the laptop fully and seat it upright in its vertical stand. Release both objects and return both arms to their starting poses.", - "native_instruction": "Hang the headphones on the headphone stand, close the laptop, then place it into the vertical laptop stand.", + "native_id": "robocasa/store-dumplings", + "title": "Store dumplings", + "catalog_instruction": "Place two dumplings into each of the tupperware containers and then place both containers on a shelf in the fridge. Release the dumplings and containers and move the gripper clear of them.", + "native_instruction": "Place two dumplings into each of the tupperware containers and then place the containers in the fridge.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-03-seed0-formal", + "episode_id": "task01-03-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", "instruction_policy": "modified" }, + "catalog_id": "robocasa/store-dumplings", + "native_identity": { + "task_name": "StoreDumplings", + "max_steps": 6000 + }, "instruction_revision": { - "native_instruction": "Hang the headphones on the headphone stand, close the laptop, then place it into the vertical laptop stand.", - "instruction": "Hang the headphones by the middle of their headband, aligned with the stand cradle so both earcups hang evenly below it. Close the laptop fully and seat it upright in its vertical stand. Release both objects and return both arms to their starting poses.", - "native_instruction_kind": "episode", + "native_instruction": "Place two dumplings into each of the tupperware containers and then place the containers in the fridge.", + "instruction": "Place two dumplings into each of the tupperware containers and then place both containers on a shelf in the fridge. Release the dumplings and containers and move the gripper clear of them.", + "native_instruction_kind": "source", "diff": [ { "op": "equal", - "original": "Hang the headphones ", - "modified": "Hang the headphones " + "original": "Place two dumplings into each of the tupperware containers and then place ", + "modified": "Place two dumplings into each of the tupperware containers and then place " }, { "op": "replace", - "original": "on", - "modified": "by" + "original": "the", + "modified": "both" }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": " containers", + "modified": " containers" }, { - "op": "replace", - "original": "headphone", - "modified": "middle" + "op": "insert", + "original": "", + "modified": " on a shelf" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " in the fridge.", + "modified": " in the fridge." }, { - "op": "replace", - "original": "stand,", - "modified": "of" - }, + "op": "insert", + "original": "", + "modified": " Release the dumplings and containers and move the gripper clear of them." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/03-store-dumplings/task.yaml" + }, + "run_status": "finished", + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." + }, + { + "key": "task01/04", + "family": "task01", + "slot": "04", + "native_id": "robocasa/divide-buffet-trays", + "title": "Divide buffet trays", + "catalog_instruction": "Gather the specified vegetables from the fridge and place them on a tray on the dining counter. Then gather the specified meats from the fridge and place them on the other tray. Release the food and move the gripper clear of the food and both trays.", + "native_instruction": "Gather the {vegetables} from the fridge and place them on a tray on the dining counter. Then gather the {meats} from the fridge and place them on the other tray.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task01-04-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "catalog_id": "robocasa/divide-buffet-trays", + "native_identity": { + "task_name": "DivideBuffetTrays", + "max_steps": 6000 + }, + "instruction_revision": { + "native_instruction": "Gather the {vegetables} from the fridge and place them on a tray on the dining counter. Then gather the {meats} from the fridge and place them on the other tray.", + "instruction": "Gather the specified vegetables from the fridge and place them on a tray on the dining counter. Then gather the specified meats from the fridge and place them on the other tray. Release the food and move the gripper clear of the food and both trays.", + "native_instruction_kind": "source", + "diff": [ { "op": "equal", - "original": " ", - "modified": " " + "original": "Gather the ", + "modified": "Gather the " }, { "op": "replace", - "original": "close", - "modified": "their headband, aligned with" + "original": "{vegetables}", + "modified": "specified vegetables" }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": " from the fridge and place them on a tray on the dining counter. Then gather the ", + "modified": " from the fridge and place them on a tray on the dining counter. Then gather the " }, { "op": "replace", - "original": "laptop,", - "modified": "stand" + "original": "{meats}", + "modified": "specified meats" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " from the fridge and place them on the other tray.", + "modified": " from the fridge and place them on the other tray." }, { - "op": "replace", - "original": "then", - "modified": "cradle" - }, + "op": "insert", + "original": "", + "modified": " Release the food and move the gripper clear of the food and both trays." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/04-divide-buffet-trays/task.yaml" + }, + "run_status": "finished", + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." + }, + { + "key": "task01/05", + "family": "task01", + "slot": "05", + "native_id": "robocasa/make-cheesecake-filling", + "title": "Make cheesecake filling", + "catalog_instruction": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer bowl, lower the mixer head fully, and turn the speed knob to begin making cheesecake filling.", + "native_instruction": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer bowl and then turn the speed knob to begin making cheesecake filling.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task01-05-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "catalog_id": "robocasa/make-cheesecake-filling", + "native_identity": { + "task_name": "MakeCheesecakeFilling", + "max_steps": 6000 + }, + "instruction_revision": { + "native_instruction": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer bowl and then turn the speed knob to begin making cheesecake filling.", + "instruction": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer bowl, lower the mixer head fully, and turn the speed knob to begin making cheesecake filling.", + "native_instruction_kind": "source", + "diff": [ { "op": "equal", - "original": " ", - "modified": " " + "original": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer ", + "modified": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer " }, { "op": "replace", - "original": "place", - "modified": "so both earcups hang evenly below it. Close the laptop fully and seat" + "original": "bowl", + "modified": "bowl, lower the mixer head fully," }, { "op": "equal", - "original": " it ", - "modified": " it " + "original": " and", + "modified": " and" }, { - "op": "replace", - "original": "into", - "modified": "upright" - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "the", - "modified": "in its" - }, - { - "op": "equal", - "original": " vertical ", - "modified": " vertical " - }, - { - "op": "replace", - "original": "laptop", - "modified": "stand." + "op": "delete", + "original": " then", + "modified": "" }, { "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "stand.", - "modified": "Release both objects and return both arms to their starting poses." + "original": " turn the speed knob to begin making cheesecake filling.", + "modified": " turn the speed knob to begin making cheesecake filling." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/03-robodojo-store-laptop-and-headphones/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/05-make-cheesecake-filling/task.yaml" }, - "display_slot": "03", - "display_key": "task04/03", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/04", - "family": "task04", - "slot": "04", - "native_id": "robodojo/cover-blocks", - "title": "Cover blocks", - "catalog_instruction": "Use the three cups to cover the blocks one at a time, from left to right. Remember the block colors. Once all three are covered, uncover them one at a time in this order: red, green, blue. Keep every cup upside down throughout, leave the blocks in their original positions, and return both arms to their starting poses when finished.", - "native_instruction": "Cover the blocks from left to right, remember their colors, then uncover them in the order: red, green, and blue.", + "key": "task01/06", + "family": "task01", + "slot": "06", + "native_id": "robocasa/multistep-steaming", + "title": "Multistep steaming", + "catalog_instruction": "Turn on the sink faucet. Move the specified vegetable from the counter into the sink while the water is running. Turn off the faucet, move the vegetable into the pot next to the stove, and move the pot to the specified burner.", + "native_instruction": "Turn on the sink faucet. Then move the {vegetable} from the counter to the sink. Turn off the sink. Move the vegetable from the sink to the pot next to the stove. Finally move the pot to the {burner} burner.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-04-seed0-formal", + "episode_id": "task01-06-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", "instruction_policy": "modified" }, + "catalog_id": "robocasa/multistep-steaming", + "native_identity": { + "task_name": "MultistepSteaming", + "max_steps": 6000 + }, "instruction_revision": { - "native_instruction": "Cover the blocks from left to right, remember their colors, then uncover them in the order: red, green, and blue.", - "instruction": "Use the three cups to cover the blocks one at a time, from left to right. Remember the block colors. Once all three are covered, uncover them one at a time in this order: red, green, blue. Keep every cup upside down throughout, leave the blocks in their original positions, and return both arms to their starting poses when finished.", - "native_instruction_kind": "episode", + "native_instruction": "Turn on the sink faucet. Then move the {vegetable} from the counter to the sink. Turn off the sink. Move the vegetable from the sink to the pot next to the stove. Finally move the pot to the {burner} burner.", + "instruction": "Turn on the sink faucet. Move the specified vegetable from the counter into the sink while the water is running. Turn off the faucet, move the vegetable into the pot next to the stove, and move the pot to the specified burner.", + "native_instruction_kind": "source", "diff": [ - { - "op": "replace", - "original": "Cover", - "modified": "Use the three cups to cover" - }, { "op": "equal", - "original": " the blocks", - "modified": " the blocks" + "original": "Turn on the sink faucet. ", + "modified": "Turn on the sink faucet. " }, { - "op": "insert", - "original": "", - "modified": " one at a time," + "op": "replace", + "original": "Then move", + "modified": "Move" }, { "op": "equal", - "original": " from left to ", - "modified": " from left to " + "original": " the ", + "modified": " the " }, { "op": "replace", - "original": "right,", - "modified": "right." + "original": "{vegetable}", + "modified": "specified vegetable" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " from the counter ", + "modified": " from the counter " }, { "op": "replace", - "original": "remember", - "modified": "Remember" + "original": "to", + "modified": "into" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " the ", + "modified": " the " }, { "op": "replace", - "original": "their", - "modified": "the" + "original": "sink.", + "modified": "sink while the water is running." }, { "op": "equal", - "original": " ", - "modified": " " + "original": " Turn off the ", + "modified": " Turn off the " }, { "op": "replace", - "original": "colors,", - "modified": "block" + "original": "sink.", + "modified": "faucet," }, { "op": "equal", @@ -463,151 +639,123 @@ }, { "op": "replace", - "original": "then", - "modified": "colors. Once all three are covered," + "original": "Move", + "modified": "move" }, { "op": "equal", - "original": " uncover them ", - "modified": " uncover them " + "original": " the vegetable ", + "modified": " the vegetable " }, { - "op": "insert", - "original": "", - "modified": "one at a time " + "op": "replace", + "original": "from the sink to", + "modified": "into" }, { "op": "equal", - "original": "in ", - "modified": "in " + "original": " the pot next to the ", + "modified": " the pot next to the " }, { "op": "replace", - "original": "the", - "modified": "this" + "original": "stove.", + "modified": "stove," }, { "op": "equal", - "original": " order: red, green, ", - "modified": " order: red, green, " + "original": " ", + "modified": " " }, { - "op": "insert", - "original": "", - "modified": "blue. Keep every cup upside down throughout, leave the blocks in their original positions, " + "op": "replace", + "original": "Finally", + "modified": "and" }, { "op": "equal", - "original": "and ", - "modified": "and " + "original": " move the pot to the ", + "modified": " move the pot to the " }, { "op": "replace", - "original": "blue.", - "modified": "return both arms to their starting poses when finished." + "original": "{burner}", + "modified": "specified" + }, + { + "op": "equal", + "original": " burner.", + "modified": " burner." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/04-robodojo-cover-blocks/task.yaml" - }, - "display_slot": "04", - "display_key": "task04/04", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/05", - "family": "task04", - "slot": "05", - "native_id": "robodojo/play-xylophone", - "title": "Play xylophone", - "catalog_instruction": "Complete the benchmark task: play Xylophone.", - "native_instruction": "Pick up the mallet and strike all xylophone keys from left to right.", - "instruction_source": "runtime native task.instruction", - "status": "completed", - "episode_id": "task04-05-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "original_native" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/06-multistep-steaming/task.yaml" }, - "display_slot": "05", - "display_key": "task04/05", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/06", - "family": "task04", - "slot": "06", - "native_id": "robodojo/store-tools-in-toolbox", - "title": "Store tools in toolbox", - "catalog_instruction": "Place each tool flat in its matching shaped recess, aligned with the outline and fully below the toolbox rim. Release all tools and return both arms to their starting poses.", - "native_instruction": "Place each tool into its matching position in the toolbox, then reset the robot arm.", + "key": "task01/07", + "family": "task01", + "slot": "07", + "native_id": "robocasa/scale-portioning", + "title": "Scale portioning", + "catalog_instruction": "Take the specified meat from the fridge and place it on the digital scale on the counter by the fridge. Release it and move the gripper clear while waiting a few seconds for a reading. Then move it to the plate on the dining counter, release it, and move the gripper clear.", + "native_instruction": "Take the {meat} from the fridge and place it on the digital scale on the counter by the fridge. Wait a few seconds for a reading, then move it to the plate on the dining counter.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-06-seed0-formal", + "episode_id": "task01-07-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", "instruction_policy": "modified" }, + "catalog_id": "robocasa/scale-portioning", + "native_identity": { + "task_name": "ScalePortioning", + "max_steps": 6000 + }, "instruction_revision": { - "native_instruction": "Place each tool into its matching position in the toolbox, then reset the robot arm.", - "instruction": "Place each tool flat in its matching shaped recess, aligned with the outline and fully below the toolbox rim. Release all tools and return both arms to their starting poses.", - "native_instruction_kind": "episode", + "native_instruction": "Take the {meat} from the fridge and place it on the digital scale on the counter by the fridge. Wait a few seconds for a reading, then move it to the plate on the dining counter.", + "instruction": "Take the specified meat from the fridge and place it on the digital scale on the counter by the fridge. Release it and move the gripper clear while waiting a few seconds for a reading. Then move it to the plate on the dining counter, release it, and move the gripper clear.", + "native_instruction_kind": "source", "diff": [ { "op": "equal", - "original": "Place each tool ", - "modified": "Place each tool " - }, - { - "op": "replace", - "original": "into", - "modified": "flat in" - }, - { - "op": "equal", - "original": " its matching ", - "modified": " its matching " + "original": "Take the ", + "modified": "Take the " }, { "op": "replace", - "original": "position", - "modified": "shaped" + "original": "{meat}", + "modified": "specified meat" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " from the fridge and place it on the digital scale on the counter by the fridge. ", + "modified": " from the fridge and place it on the digital scale on the counter by the fridge. " }, { "op": "replace", - "original": "in", - "modified": "recess, aligned with" + "original": "Wait", + "modified": "Release it and move the gripper clear while waiting" }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": " a few seconds for a ", + "modified": " a few seconds for a " }, { "op": "replace", - "original": "toolbox,", - "modified": "outline" + "original": "reading,", + "modified": "reading." }, { "op": "equal", @@ -617,370 +765,255 @@ { "op": "replace", "original": "then", - "modified": "and" - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "reset", - "modified": "fully below" - }, - { - "op": "equal", - "original": " the ", - "modified": " the " - }, - { - "op": "replace", - "original": "robot", - "modified": "toolbox" + "modified": "Then" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " move it to the plate on the dining ", + "modified": " move it to the plate on the dining " }, { "op": "replace", - "original": "arm.", - "modified": "rim. Release all tools and return both arms to their starting poses." + "original": "counter.", + "modified": "counter, release it, and move the gripper clear." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/06-robodojo-store-tools-in-toolbox/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/07-scale-portioning/task.yaml" }, - "display_slot": "06", - "display_key": "task04/06", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/07", - "family": "task04", - "slot": "07", - "native_id": "robodojo/insert-tubes", - "title": "Insert tubes", - "catalog_instruction": "Insert the three tubes upright into the rack one by one, pointed ends down, until they are fully seated. Release them and return both arms to their starting poses.", - "native_instruction": "Insert the three tubes into the rack one by one.", + "key": "task01/08", + "family": "task01", + "slot": "08", + "native_id": "robocasa/scrub-cutting-board", + "title": "Scrub cutting board", + "catalog_instruction": "Pick up the sponge from the counter and scrub across a broad area of the cutting board, keeping the sponge grasped and in contact with the board throughout the scrubbing motion. Once finished, release the sponge and retract the gripper well away from it.", + "native_instruction": "Pick up the sponge from the counter and clean the cutting board by briefly scrubbing or pressing down on the cutting board. Once finished, release the sponge.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-07-seed0-formal", + "episode_id": "task01-08-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", "instruction_policy": "modified" }, + "catalog_id": "robocasa/scrub-cutting-board", + "native_identity": { + "task_name": "ScrubCuttingBoard", + "max_steps": 6000 + }, "instruction_revision": { - "native_instruction": "Insert the three tubes into the rack one by one.", - "instruction": "Insert the three tubes upright into the rack one by one, pointed ends down, until they are fully seated. Release them and return both arms to their starting poses.", - "native_instruction_kind": "episode", + "native_instruction": "Pick up the sponge from the counter and clean the cutting board by briefly scrubbing or pressing down on the cutting board. Once finished, release the sponge.", + "instruction": "Pick up the sponge from the counter and scrub across a broad area of the cutting board, keeping the sponge grasped and in contact with the board throughout the scrubbing motion. Once finished, release the sponge and retract the gripper well away from it.", + "native_instruction_kind": "source", "diff": [ { "op": "equal", - "original": "Insert the three tubes", - "modified": "Insert the three tubes" + "original": "Pick up the sponge from the counter and ", + "modified": "Pick up the sponge from the counter and " }, { "op": "insert", "original": "", - "modified": " upright" + "modified": "s" }, { "op": "equal", - "original": " into the rack one by one", - "modified": " into the rack one by one" + "original": "c", + "modified": "c" }, { - "op": "insert", - "original": "", - "modified": ", pointed ends down, until they are fully seated" + "op": "replace", + "original": "l", + "modified": "rub across a broad ar" }, { "op": "equal", - "original": ".", - "modified": "." + "original": "ea", + "modified": "ea" + }, + { + "op": "replace", + "original": "n", + "modified": " of" + }, + { + "op": "equal", + "original": " the cutting board", + "modified": " the cutting board" }, { "op": "insert", "original": "", - "modified": " Release them and return both arms to their starting poses." - } - ], - "changed": true, - "preserve_whitespace": true, - "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/07-robodojo-insert-tubes/task.yaml", - "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", - "native_predicates_unchanged": true, - "review_reason": "Describe fully seated tubes without exposing the verifier insertion-depth threshold." - }, - "display_slot": "07", - "display_key": "task04/07", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [ - { - "id": "07-robodojo-insert-tubes-codex-seed0-attempt01", - "execution": { - "reason": "process_error", - "status": "interrupted" + "modified": ", keeping the sponge grasped and in contact with the" }, - "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/provenance.json" - } - } - ] - }, - { - "key": "task04/08", - "family": "task04", - "slot": "08", - "native_id": "robodojo/deposit-coin", - "title": "Deposit coin", - "catalog_instruction": "Pick up the coin from its holder and deposit it through the slot of the coin bank. Let the coin fall fully inside the bank, then return both arms to their starting poses.", - "native_instruction": "Pick up the coin from the holder and insert it precisely into the coin bank.", - "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", - "status": "completed", - "episode_id": "task04-08-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "modified" - }, - "instruction_revision": { - "native_instruction": "Pick up the coin from the holder and insert it precisely into the coin bank.", - "instruction": "Pick up the coin from its holder and deposit it through the slot of the coin bank. Let the coin fall fully inside the bank, then return both arms to their starting poses.", - "native_instruction_kind": "episode", - "diff": [ { "op": "equal", - "original": "Pick up the coin from ", - "modified": "Pick up the coin from " + "original": " b", + "modified": " b" }, { "op": "replace", - "original": "the", - "modified": "its" + "original": "y", + "modified": "oard" }, { "op": "equal", - "original": " holder and ", - "modified": " holder and " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "insert", - "modified": "deposit" + "original": "b", + "modified": "th" }, { "op": "equal", - "original": " it ", - "modified": " it " + "original": "r", + "modified": "r" }, { "op": "replace", - "original": "precisely", - "modified": "through" + "original": "i", + "modified": "oughout th" }, { "op": "equal", - "original": " ", - "modified": " " + "original": "e", + "modified": "e" }, { - "op": "replace", - "original": "into", - "modified": "the slot of" + "op": "delete", + "original": "fly", + "modified": "" }, { "op": "equal", - "original": " the coin bank.", - "modified": " the coin bank." + "original": " scrubbing ", + "modified": " scrubbing " }, { "op": "insert", "original": "", - "modified": " Let the coin fall fully inside the bank, then return both arms to their starting poses." - } - ], - "changed": true, - "preserve_whitespace": true, - "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/08-robodojo-deposit-coin/task.yaml" - }, - "display_slot": "08", - "display_key": "task04/08", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/09", - "family": "task04", - "slot": "09", - "native_id": "robodojo/fasten-screws", - "title": "Fasten screws", - "catalog_instruction": "Fit each nut upright onto the bolt of the same color and seat it fully. Release the nuts, fully open both grippers, and return both arms to their starting poses.", - "native_instruction": "Insert and tighten each screw into the nut of the same color.", - "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", - "status": "completed", - "episode_id": "task04-09-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "modified" - }, - "instruction_revision": { - "native_instruction": "Insert and tighten each screw into the nut of the same color.", - "instruction": "Fit each nut upright onto the bolt of the same color and seat it fully. Release the nuts, fully open both grippers, and return both arms to their starting poses.", - "native_instruction_kind": "episode", - "diff": [ - { - "op": "replace", - "original": "Insert and tighten", - "modified": "Fit" + "modified": "m" }, { "op": "equal", - "original": " each ", - "modified": " each " + "original": "o", + "modified": "o" }, { "op": "replace", - "original": "screw", - "modified": "nut" + "original": "r press", + "modified": "t" }, { "op": "equal", - "original": " ", - "modified": " " + "original": "i", + "modified": "i" }, { - "op": "replace", - "original": "into", - "modified": "upright onto" + "op": "delete", + "original": "ng down ", + "modified": "" }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": "on", + "modified": "on" }, { - "op": "replace", - "original": "nut", - "modified": "bolt" + "op": "delete", + "original": " the cutting board", + "modified": "" }, { "op": "equal", - "original": " of the same color", - "modified": " of the same color" + "original": ". Once finished, release the sponge", + "modified": ". Once finished, release the sponge" }, { "op": "insert", "original": "", - "modified": " and seat it fully" + "modified": " and retract the gripper well away from it" }, { "op": "equal", "original": ".", "modified": "." - }, - { - "op": "insert", - "original": "", - "modified": " Release the nuts, fully open both grippers, and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/09-robodojo-fasten-screws/task.yaml", - "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/08-scrub-cutting-board/task.yaml", "native_predicates_unchanged": true, - "review_reason": "Use a natural paragraph for matching and seating nuts; omit geometric scoring thresholds." + "evaluation_status": "Evaluated with this modified instruction.", + "review_reason": "Clarify broad board coverage, maintained grasp/contact, and final retraction without numeric thresholds." }, - "display_slot": "09", - "display_key": "task04/09", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/10", - "family": "task04", - "slot": "10", - "native_id": "robodojo/play-stacking-toy", - "title": "Play stacking toy", - "catalog_instruction": "Place all stacking toy pieces onto their matching pegs, with the pieces neatly stacked and fully seated, then release them and return both arms to their starting poses.", - "native_instruction": "Place all stacking toy pieces onto the correct pegs.", + "key": "task01/09", + "family": "task01", + "slot": "09", + "native_id": "robocasa/prepare-veggie-dip", + "title": "Prepare veggie dip", + "catalog_instruction": "Pick the specified vegetable and the cream cheese from the fridge, place both fully inside the blender, and turn it on.", + "native_instruction": "Pick the {vegetable} and the cream cheese from the fridge, place them in the blender, and turn it on.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-10-seed0-formal", + "episode_id": "task01-09-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", "instruction_policy": "modified" }, + "catalog_id": "robocasa/prepare-veggie-dip", + "native_identity": { + "task_name": "PrepareVeggieDip", + "max_steps": 6000 + }, "instruction_revision": { - "native_instruction": "Place all stacking toy pieces onto the correct pegs.", - "instruction": "Place all stacking toy pieces onto their matching pegs, with the pieces neatly stacked and fully seated, then release them and return both arms to their starting poses.", - "native_instruction_kind": "episode", + "native_instruction": "Pick the {vegetable} and the cream cheese from the fridge, place them in the blender, and turn it on.", + "instruction": "Pick the specified vegetable and the cream cheese from the fridge, place both fully inside the blender, and turn it on.", + "native_instruction_kind": "source", "diff": [ { "op": "equal", - "original": "Place all stacking toy pieces onto ", - "modified": "Place all stacking toy pieces onto " + "original": "Pick the ", + "modified": "Pick the " }, { - "op": "insert", - "original": "", - "modified": "their matching pegs, with " + "op": "replace", + "original": "{vegetable}", + "modified": "specified vegetable" }, { "op": "equal", - "original": "the ", - "modified": "the " + "original": " and the cream cheese from the fridge, place ", + "modified": " and the cream cheese from the fridge, place " }, { "op": "replace", - "original": "correct", - "modified": "pieces" + "original": "them", + "modified": "both" }, { "op": "equal", @@ -989,515 +1022,615 @@ }, { "op": "replace", - "original": "pegs", - "modified": "neatly stacked and fully seated, then release them and return both arms to their starting poses" + "original": "in", + "modified": "fully inside" }, { "op": "equal", - "original": ".", - "modified": "." + "original": " the blender, and turn it on.", + "modified": " the blender, and turn it on." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/10-robodojo-play-stacking-toy/task.yaml", - "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", - "native_predicates_unchanged": true, - "review_reason": "Leave piece counts and peg matching to the agent while retaining the intended completed arrangement." - }, - "display_slot": "10", - "display_key": "task04/10", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/11", - "family": "task04", - "slot": "11", - "native_id": "robodojo/align-blocks", - "title": "Align blocks", - "catalog_instruction": "Complete the benchmark task: align blocks.", - "native_instruction": "Use the set square to push the three blocks into a straight, aligned row, then reset the robot arm.", - "instruction_source": "runtime native task.instruction", - "status": "completed", - "episode_id": "task04-11-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "original_native" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/09-prepare-veggie-dip/task.yaml" }, - "display_slot": "11", - "display_key": "task04/11", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/12", - "family": "task04", - "slot": "12", - "native_id": "robodojo/arrange-largest-number", - "title": "Arrange largest number", - "catalog_instruction": "Arrange all the digits on the pads to form the largest possible number when read from left to right. Leave one digit lying flat on each pad, readable from the robot's side, then return both arms to their starting poses.", - "native_instruction": "Arrange the numbers from left to right to form the largest possible number, and place them on the pad.", + "key": "task01/10", + "family": "task01", + "slot": "10", + "native_id": "robocasa/prepare-vegetable-roasting", + "title": "Prepare vegetable roasting", + "catalog_instruction": "Pick the specified vegetable from the fridge and hold it under running water from the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting. Release it and move the gripper clear.", + "native_instruction": "Pick the {vegetable} from the fridge and hold it under the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-12-seed0-formal", + "episode_id": "task01-10-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", "instruction_policy": "modified" }, + "catalog_id": "robocasa/prepare-vegetable-roasting", + "native_identity": { + "task_name": "PrepareVegetableRoasting", + "max_steps": 6000 + }, "instruction_revision": { - "native_instruction": "Arrange the numbers from left to right to form the largest possible number, and place them on the pad.", - "instruction": "Arrange all the digits on the pads to form the largest possible number when read from left to right. Leave one digit lying flat on each pad, readable from the robot's side, then return both arms to their starting poses.", - "native_instruction_kind": "episode", + "native_instruction": "Pick the {vegetable} from the fridge and hold it under the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting.", + "instruction": "Pick the specified vegetable from the fridge and hold it under running water from the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting. Release it and move the gripper clear.", + "native_instruction_kind": "source", "diff": [ { "op": "equal", - "original": "Arrange", - "modified": "Arrange" + "original": "Pick the ", + "modified": "Pick the " }, { - "op": "insert", - "original": "", - "modified": " all" + "op": "replace", + "original": "{vegetable}", + "modified": "specified vegetable" }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": " from the fridge and hold it under", + "modified": " from the fridge and hold it under" }, { - "op": "replace", - "original": "numbers", - "modified": "digits" + "op": "insert", + "original": "", + "modified": " running water from" }, { "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "from", - "modified": "on" - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "left", - "modified": "the" + "original": " the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting.", + "modified": " the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting." }, { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "to right", - "modified": "pads" - }, + "op": "insert", + "original": "", + "modified": " Release it and move the gripper clear." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task01/10-prepare-vegetable-roasting/task.yaml" + }, + "run_status": "finished", + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." + }, + { + "key": "task02/01", + "family": "task02", + "slot": "01", + "native_id": "libero/10-0", + "title": "LIBERO-10-01", + "catalog_instruction": "put both the alphabet soup and the tomato sauce in the basket", + "native_instruction": "put both the alphabet soup and the tomato sauce in the basket", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task02-01-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "catalog_id": "libero/libero-10-01", + "native_identity": { + "suite_name": "libero_10", + "task_id": 0, + "init_state_index": 0, + "max_steps": 6000 + }, + "run_status": "finished", + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." + }, + { + "key": "task02/02", + "family": "task02", + "slot": "02", + "native_id": "libero/10-1", + "title": "LIBERO-10-02", + "catalog_instruction": "put both the cream cheese box and the butter in the basket", + "native_instruction": "put both the cream cheese box and the butter in the basket", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task02-02-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "catalog_id": "libero/libero-10-02", + "native_identity": { + "suite_name": "libero_10", + "task_id": 1, + "init_state_index": 0, + "max_steps": 6000 + }, + "run_status": "finished", + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." + }, + { + "key": "task02/03", + "family": "task02", + "slot": "03", + "native_id": "libero/10-2", + "title": "LIBERO-10-03", + "catalog_instruction": "turn on the stove and put the moka pot on it", + "native_instruction": "turn on the stove and put the moka pot on it", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task02-03-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "catalog_id": "libero/libero-10-03", + "native_identity": { + "suite_name": "libero_10", + "task_id": 2, + "init_state_index": 0, + "max_steps": 6000 + }, + "run_status": "finished", + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." + }, + { + "key": "task02/04", + "family": "task02", + "slot": "04", + "native_id": "libero/bowl-into-bottom-drawer", + "title": "LIBERO-10-04", + "catalog_instruction": "put the black bowl in the bottom drawer of the cabinet and close it", + "native_instruction": "put the black bowl in the bottom drawer of the cabinet and close it", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task02-04-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "catalog_id": "libero/libero-10-04", + "native_identity": { + "suite_name": "libero_10", + "task_id": 3, + "init_state_index": 0, + "max_steps": 6000 + }, + "run_status": "finished", + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." + }, + { + "key": "task02/05", + "family": "task02", + "slot": "05", + "native_id": "libero/10-4", + "title": "LIBERO-10-05", + "catalog_instruction": "put the white mug in the center of the left plate and put the yellow and white mug in the center of the right plate, with each mug resting on its plate", + "native_instruction": "put the white mug on the left plate and put the yellow and white mug on the right plate", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task02-05-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "catalog_id": "libero/libero-10-05", + "native_identity": { + "suite_name": "libero_10", + "task_id": 4, + "init_state_index": 0, + "max_steps": 6000 + }, + "instruction_revision": { + "native_instruction": "put the white mug on the left plate and put the yellow and white mug on the right plate", + "instruction": "put the white mug in the center of the left plate and put the yellow and white mug in the center of the right plate, with each mug resting on its plate", + "native_instruction_kind": "source", + "diff": [ { "op": "equal", - "original": " to form the largest possible number", - "modified": " to form the largest possible number" + "original": "put the white mug ", + "modified": "put the white mug " }, { - "op": "delete", - "original": ",", - "modified": "" + "op": "insert", + "original": "", + "modified": "in the center " }, { "op": "equal", - "original": " ", - "modified": " " + "original": "o", + "modified": "o" }, { "op": "replace", - "original": "and", - "modified": "when" + "original": "n", + "modified": "f" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " the left plate and put the yellow and white mug ", + "modified": " the left plate and put the yellow and white mug " }, { - "op": "replace", - "original": "place", - "modified": "read" + "op": "insert", + "original": "", + "modified": "in the center " }, { "op": "equal", - "original": " ", - "modified": " " + "original": "o", + "modified": "o" }, { "op": "replace", - "original": "them", - "modified": "from left to right. Leave one digit lying flat" + "original": "n", + "modified": "f" }, { "op": "equal", - "original": " on ", - "modified": " on " + "original": " the right plate", + "modified": " the right plate" }, { "op": "insert", "original": "", - "modified": "each pad, readable from " - }, + "modified": ", with each mug resting on its plate" + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task02/05-libero-10-05/task.yaml", + "native_predicates_unchanged": true, + "evaluation_status": "Evaluated with this modified instruction.", + "review_reason": "Authorized full current-source LIBERO comparison refresh." + }, + "run_status": "finished", + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." + }, + { + "key": "task02/06", + "family": "task02", + "slot": "06", + "native_id": "libero/10-5", + "title": "LIBERO-10-06", + "catalog_instruction": "pick up the book and place it in the back compartment of the caddy, between the two large side compartments", + "native_instruction": "pick up the book and place it in the back compartment of the caddy", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task02-06-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "catalog_id": "libero/libero-10-06", + "native_identity": { + "suite_name": "libero_10", + "task_id": 5, + "init_state_index": 0, + "max_steps": 6000 + }, + "instruction_revision": { + "native_instruction": "pick up the book and place it in the back compartment of the caddy", + "instruction": "pick up the book and place it in the back compartment of the caddy, between the two large side compartments", + "native_instruction_kind": "source", + "diff": [ { "op": "equal", - "original": "the ", - "modified": "the " - }, - { - "op": "replace", - "original": "pad", - "modified": "robot's side, then return both arms to their starting poses" + "original": "pick up the book and place it in the back compartment of the caddy", + "modified": "pick up the book and place it in the back compartment of the caddy" }, { - "op": "equal", - "original": ".", - "modified": "." + "op": "insert", + "original": "", + "modified": ", between the two large side compartments" } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/12-robodojo-arrange-largest-number/task.yaml", - "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task02/06-libero-10-06/task.yaml", "native_predicates_unchanged": true, - "review_reason": "Leave the numerical ordering strategy to the agent while retaining readable placement on the pads." + "evaluation_status": "Evaluated with this modified instruction.", + "review_reason": "Authorized full current-source LIBERO comparison refresh." }, - "display_slot": "12", - "display_key": "task04/12", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/14", - "family": "task04", - "slot": "14", - "native_id": "robodojo/build-tower", - "title": "Build tower", - "catalog_instruction": "Build a tower, from bottom to top: two white blocks, the long board, two white blocks, the short board, the small plank, and the green roof. Use one white block from each original side in each pair. Keep the white blocks, boards and plank horizontal on their original bottom faces, and the roof upright on its base. Center the short board, plank and roof over the piece directly below. Align the plank lengthwise with the short board, with the roof ridge perpendicular to the plank\u2019s long edges. Release everything, open both grippers, and return both arms to their starting poses.", - "native_instruction": "Build a tower using the wooden blocks and wooden boards.", + "key": "task02/07", + "family": "task02", + "slot": "07", + "native_id": "libero/10-6", + "title": "LIBERO-10-07", + "catalog_instruction": "put the white mug in the center of the plate and put the chocolate pudding immediately to the right of the plate", + "native_instruction": "put the white mug on the plate and put the chocolate pudding to the right of the plate", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-14-seed0-formal", + "episode_id": "task02-07-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", "instruction_policy": "modified" }, + "catalog_id": "libero/libero-10-07", + "native_identity": { + "suite_name": "libero_10", + "task_id": 6, + "init_state_index": 0, + "max_steps": 6000 + }, "instruction_revision": { - "native_instruction": "Build a tower using the wooden blocks and wooden boards.", - "instruction": "Build a tower, from bottom to top: two white blocks, the long board, two white blocks, the short board, the small plank, and the green roof. Use one white block from each original side in each pair. Keep the white blocks, boards and plank horizontal on their original bottom faces, and the roof upright on its base. Center the short board, plank and roof over the piece directly below. Align the plank lengthwise with the short board, with the roof ridge perpendicular to the plank\u2019s long edges. Release everything, open both grippers, and return both arms to their starting poses.", - "native_instruction_kind": "episode", + "native_instruction": "put the white mug on the plate and put the chocolate pudding to the right of the plate", + "instruction": "put the white mug in the center of the plate and put the chocolate pudding immediately to the right of the plate", + "native_instruction_kind": "source", "diff": [ { "op": "equal", - "original": "Build a tower", - "modified": "Build a tower" + "original": "put the white mug ", + "modified": "put the white mug " }, { "op": "insert", "original": "", - "modified": "," + "modified": "in the center " }, { "op": "equal", - "original": " ", - "modified": " " + "original": "o", + "modified": "o" }, { "op": "replace", - "original": "using", - "modified": "from bottom" + "original": "n", + "modified": "f" }, { "op": "equal", - "original": " t", - "modified": " t" + "original": " the plate and put the chocolate pudding ", + "modified": " the plate and put the chocolate pudding " }, { - "op": "replace", - "original": "he", - "modified": "o top: two" + "op": "insert", + "original": "", + "modified": "immediately " }, { "op": "equal", - "original": " w", - "modified": " w" + "original": "to the right of the plate", + "modified": "to the right of the plate" + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task02/07-libero-10-07/task.yaml", + "native_predicates_unchanged": true, + "evaluation_status": "Evaluated with this modified instruction.", + "review_reason": "Authorized full current-source LIBERO comparison refresh." + }, + "run_status": "finished", + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." + }, + { + "key": "task02/08", + "family": "task02", + "slot": "08", + "native_id": "libero/10-7", + "title": "LIBERO-10-08", + "catalog_instruction": "put both the alphabet soup and the cream cheese box fully inside the basket", + "native_instruction": "put both the alphabet soup and the cream cheese box in the basket", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task02-08-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 20, + "max_control_steps": 6000, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "catalog_id": "libero/libero-10-08", + "native_identity": { + "suite_name": "libero_10", + "task_id": 7, + "init_state_index": 0, + "max_steps": 6000 + }, + "instruction_revision": { + "native_instruction": "put both the alphabet soup and the cream cheese box in the basket", + "instruction": "put both the alphabet soup and the cream cheese box fully inside the basket", + "native_instruction_kind": "source", + "diff": [ + { + "op": "equal", + "original": "put both the alphabet soup and the cream cheese box ", + "modified": "put both the alphabet soup and the cream cheese box " }, { - "op": "replace", - "original": "ood", - "modified": "hit" + "op": "insert", + "original": "", + "modified": "fully " }, { "op": "equal", - "original": "e", - "modified": "e" + "original": "in", + "modified": "in" }, { - "op": "delete", - "original": "n", - "modified": "" + "op": "insert", + "original": "", + "modified": "side" }, { "op": "equal", - "original": " blocks", - "modified": " blocks" - }, - { - "op": "insert", - "original": "", - "modified": ", the long board, two white blocks, the short board, the small plank," - }, - { - "op": "equal", - "original": " and ", - "modified": " and " - }, - { - "op": "replace", - "original": "w", - "modified": "the green r" - }, - { - "op": "equal", - "original": "oo", - "modified": "oo" - }, - { - "op": "insert", - "original": "", - "modified": "f. Use one white block from each original si" - }, - { - "op": "equal", - "original": "de", - "modified": "de" - }, - { - "op": "insert", - "original": "", - "modified": " i" - }, - { - "op": "equal", - "original": "n", - "modified": "n" - }, - { - "op": "insert", - "original": "", - "modified": " each pair. Keep the white blocks," - }, - { - "op": "equal", - "original": " boards", - "modified": " boards" - }, - { - "op": "insert", - "original": "", - "modified": " and plank horizontal on their original bottom faces, and the roof upright on its base" - }, - { - "op": "equal", - "original": ".", - "modified": "." - }, - { - "op": "insert", - "original": "", - "modified": " Center the short board, plank and roof over the piece directly below. Align the plank lengthwise with the short board, with the roof ridge perpendicular to the plank\u2019s long edges. Release everything, open both grippers, and return both arms to their starting poses." + "original": " the basket", + "modified": " the basket" } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/14-robodojo-build-tower/task.yaml", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task02/08-libero-10-08/task.yaml", "native_predicates_unchanged": true, "evaluation_status": "Evaluated with this modified instruction.", - "review_reason": "Shorten the successful instruction while preserving the tower structure, original bottom faces, horizontal orientation, centering, plank alignment, perpendicular roof ridge, release and arm return requirements." + "review_reason": "Authorized full current-source LIBERO comparison refresh." }, - "display_slot": "13", - "display_key": "task04/13", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/15", - "family": "task04", - "slot": "15", - "native_id": "robodojo/classify-objects", - "title": "Classify objects", - "catalog_instruction": "Sort all objects by category into the three baskets, with one category per basket. Place every object fully inside and below the basket rim. Release the objects and return both arms to their starting poses.", - "native_instruction": "Sort the objects by category into the three baskets.", + "key": "task02/09", + "family": "task02", + "slot": "09", + "native_id": "libero/10-8", + "title": "LIBERO-10-09", + "catalog_instruction": "put both moka pots on the stove and turn the stove on", + "native_instruction": "put both moka pots on the stove", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-15-seed0-formal", + "episode_id": "task02-09-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", "instruction_policy": "modified" }, + "catalog_id": "libero/libero-10-09", + "native_identity": { + "suite_name": "libero_10", + "task_id": 8, + "init_state_index": 0, + "max_steps": 6000 + }, "instruction_revision": { - "native_instruction": "Sort the objects by category into the three baskets.", - "instruction": "Sort all objects by category into the three baskets, with one category per basket. Place every object fully inside and below the basket rim. Release the objects and return both arms to their starting poses.", - "native_instruction_kind": "episode", + "native_instruction": "put both moka pots on the stove", + "instruction": "put both moka pots on the stove and turn the stove on", + "native_instruction_kind": "source", "diff": [ { "op": "equal", - "original": "Sort ", - "modified": "Sort " - }, - { - "op": "replace", - "original": "the", - "modified": "all" - }, - { - "op": "equal", - "original": " objects by category into the three ", - "modified": " objects by category into the three " + "original": "put both moka pots on the stove", + "modified": "put both moka pots on the stove" }, { - "op": "replace", - "original": "baskets.", - "modified": "baskets, with one category per basket. Place every object fully inside and below the basket rim. Release the objects and return both arms to their starting poses." + "op": "insert", + "original": "", + "modified": " and turn the stove on" } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/15-robodojo-classify-objects/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task02/09-libero-10-09/task.yaml", + "native_predicates_unchanged": true, + "evaluation_status": "Evaluated with this modified instruction.", + "review_reason": "Authorized full current-source LIBERO comparison refresh." }, - "display_slot": "14", - "display_key": "task04/14", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/16", - "family": "task04", - "slot": "16", - "native_id": "robodojo/fill-egg-holder", - "title": "Fill egg holder", - "catalog_instruction": "Place all four eggs from the basket into the egg holder, seated fully down in its egg compartments. Close the lid fully without dislodging the eggs, release the holder, and return both arms to their starting poses.", - "native_instruction": "Place the four eggs from the basket into the egg holder, then close the lid.", - "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "key": "task02/10", + "family": "task02", + "slot": "10", + "native_id": "libero/mug-into-microwave", + "title": "LIBERO-10-10", + "catalog_instruction": "put the yellow and white mug in the microwave and close it", + "native_instruction": "put the yellow and white mug in the microwave and close it", + "instruction_source": "runtime native task.instruction", "status": "completed", - "episode_id": "task04-16-seed0-formal", + "episode_id": "task02-10-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, + "control_frequency_hz": 20, + "max_control_steps": 6000, "timeout_s": 28800, "mode": "stepped", - "instruction_policy": "modified" + "instruction_policy": "original_native" }, - "instruction_revision": { - "native_instruction": "Place the four eggs from the basket into the egg holder, then close the lid.", - "instruction": "Place all four eggs from the basket into the egg holder, seated fully down in its egg compartments. Close the lid fully without dislodging the eggs, release the holder, and return both arms to their starting poses.", - "native_instruction_kind": "episode", - "diff": [ - { - "op": "equal", - "original": "Place ", - "modified": "Place " - }, - { - "op": "replace", - "original": "the", - "modified": "all" - }, - { - "op": "equal", - "original": " four eggs from the basket into the egg holder, ", - "modified": " four eggs from the basket into the egg holder, " - }, - { - "op": "replace", - "original": "then", - "modified": "seated" - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "close", - "modified": "fully down in its egg compartments. Close" - }, - { - "op": "equal", - "original": " the ", - "modified": " the " - }, - { - "op": "replace", - "original": "lid.", - "modified": "lid fully without dislodging the eggs, release the holder, and return both arms to their starting poses." - } - ], - "changed": true, - "preserve_whitespace": true, - "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/16-robodojo-fill-egg-holder/task.yaml" + "catalog_id": "libero/libero-10-10", + "native_identity": { + "suite_name": "libero_10", + "task_id": 9, + "init_state_index": 0, + "max_steps": 6000 }, - "display_slot": "15", - "display_key": "task04/15", "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + "attempt_history": [], + "status_note": "Evaluation and native evidence complete." }, { - "key": "task04/17", + "key": "task04/01", "family": "task04", - "slot": "17", - "native_id": "robodojo/fill-pen-holder", - "title": "Fill pen holder", - "catalog_instruction": "Hold the pen holder with one hand and insert all the pens with the other, writing ends down and fully seated inside. Put the holder down upright, release it, and return both arms to their starting poses.", - "native_instruction": "Hold the pen holder with one hand, place all pens into it with the other hand, then put it back down.", + "slot": "01", + "native_id": "robodojo/make-toast", + "title": "Make toast", + "catalog_instruction": "Place two bread slices upright in the toaster, one per slot, leaving the other two on the rack. Press the lever down, then return both arms to their starting poses.", + "native_instruction": "Pick up two slices of bread, place them into the toaster, and press the lever down.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-17-seed0-formal", + "episode_id": "task04-01-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -1508,69 +1641,54 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Hold the pen holder with one hand, place all pens into it with the other hand, then put it back down.", - "instruction": "Hold the pen holder with one hand and insert all the pens with the other, writing ends down and fully seated inside. Put the holder down upright, release it, and return both arms to their starting poses.", + "native_instruction": "Pick up two slices of bread, place them into the toaster, and press the lever down.", + "instruction": "Place two bread slices upright in the toaster, one per slot, leaving the other two on the rack. Press the lever down, then return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ - { - "op": "equal", - "original": "Hold the pen holder with one hand", - "modified": "Hold the pen holder with one hand" - }, - { - "op": "delete", - "original": ",", - "modified": "" - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, { "op": "replace", - "original": "place", - "modified": "and insert" + "original": "Pick up", + "modified": "Place" }, { "op": "equal", - "original": " all ", - "modified": " all " + "original": " two ", + "modified": " two " }, { "op": "insert", "original": "", - "modified": "the " + "modified": "bread " }, { "op": "equal", - "original": "pens", - "modified": "pens" + "original": "slices ", + "modified": "slices " }, { - "op": "delete", - "original": " into it", - "modified": "" + "op": "replace", + "original": "of", + "modified": "upright" }, { "op": "equal", - "original": " with the other", - "modified": " with the other" + "original": " ", + "modified": " " }, { - "op": "delete", - "original": " hand", - "modified": "" + "op": "replace", + "original": "bread, place them into", + "modified": "in" }, { "op": "equal", - "original": ", ", - "modified": ", " + "original": " the toaster, ", + "modified": " the toaster, " }, { "op": "replace", - "original": "then", - "modified": "writing" + "original": "and", + "modified": "one" }, { "op": "equal", @@ -1579,140 +1697,66 @@ }, { "op": "replace", - "original": "put", - "modified": "ends down and fully seated inside. Put the holder down upright, release" + "original": "press", + "modified": "per slot, leaving the other two on the rack. Press" }, { "op": "equal", - "original": " it", - "modified": " it" - }, - { - "op": "insert", - "original": "", - "modified": "," - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "back", - "modified": "and" - }, - { - "op": "equal", - "original": " ", - "modified": " " + "original": " the lever ", + "modified": " the lever " }, { "op": "replace", - "original": "down", - "modified": "return both arms to their starting poses" - }, - { - "op": "equal", - "original": ".", - "modified": "." + "original": "down.", + "modified": "down, then return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/17-robodojo-fill-pen-holder/task.yaml", - "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", - "native_predicates_unchanged": true, - "review_reason": "Retain the native two-hand roles and final pen orientation without the insertion-depth threshold." + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/01-robodojo-make-toast/task.yaml" }, - "display_slot": "16", - "display_key": "task04/16", + "display_slot": "01", + "display_key": "task04/01", "run_status": "finished", "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/18", - "family": "task04", - "slot": "18", - "native_id": "robodojo/fold-clothes", - "title": "Fold clothes", - "catalog_instruction": "Fold the garment into a compact rectangle, with both sleeves folded across the chest and the lower half folded up toward the shoulders. Release the garment, open both grippers, and return both arms to their starting poses when finished.", - "native_instruction": "Fold the clothes neatly.", - "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", - "status": "completed", - "episode_id": "task04-18-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "modified" - }, - "instruction_revision": { - "native_instruction": "Fold the clothes neatly.", - "instruction": "Fold the garment into a compact rectangle, with both sleeves folded across the chest and the lower half folded up toward the shoulders. Release the garment, open both grippers, and return both arms to their starting poses when finished.", - "native_instruction_kind": "episode", - "diff": [ - { - "op": "equal", - "original": "Fold the ", - "modified": "Fold the " - }, - { - "op": "replace", - "original": "clothes", - "modified": "garment" - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "neatly", - "modified": "into a compact rectangle, with both sleeves folded across the chest and the lower half folded up toward the shoulders" - }, - { - "op": "equal", - "original": ".", - "modified": "." + "attempt_history": [ + { + "id": "01-robodojo-make-toast-codex-seed0-attempt01", + "execution": { + "reason": "process_error", + "status": "interrupted" }, - { - "op": "insert", - "original": "", - "modified": " Release the garment, open both grippers, and return both arms to their starting poses when finished." + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/01/01-robodojo-make-toast-codex-seed0-attempt01/provenance.json" } - ], - "changed": true, - "preserve_whitespace": true, - "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/18-robodojo-fold-clothes/task.yaml", - "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", - "native_predicates_unchanged": true, - "review_reason": "Describe the folded garment without enumerating tracked point correspondences or grasping steps." - }, - "display_slot": "17", - "display_key": "task04/17", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] + } + ] }, { - "key": "task04/20", + "key": "task04/02", "family": "task04", - "slot": "20", - "native_id": "robodojo/general-pickup", - "title": "General pickup", - "catalog_instruction": "Complete the episode's pickup instruction (read the scene)", - "native_instruction": "Pick up the mint green scissors by 10 cm.", + "slot": "02", + "native_id": "robodojo/classify-objects-by-language", + "title": "Classify objects by language", + "catalog_instruction": "Complete the benchmark task: classify objects by language.", + "native_instruction": "Put car objects into the left basket, watch objects into the middle basket, and wooden_toy objects into the right basket, then reset the robot arm.", "instruction_source": "runtime native task.instruction", "status": "completed", - "episode_id": "task04-20-seed0-formal", + "episode_id": "task04-02-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -1722,23 +1766,23 @@ "mode": "stepped", "instruction_policy": "original_native" }, - "display_slot": "18", - "display_key": "task04/18", + "display_slot": "02", + "display_key": "task04/02", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/21", + "key": "task04/03", "family": "task04", - "slot": "21", - "native_id": "robodojo/hang-mugs", - "title": "Hang mugs", - "catalog_instruction": "Hang all three mugs by their handles on the raised supports of the mug rack. Seat each handle securely over a support, with the mug hanging clear of the table. Release all mugs and return both arms to their starting poses.", - "native_instruction": "Hang all the mugs on the mug rack.", + "slot": "03", + "native_id": "robodojo/store-laptop-and-headphones", + "title": "Store laptop and headphones", + "catalog_instruction": "Hang the headphones by the middle of their headband, aligned with the stand cradle so both earcups hang evenly below it. Close the laptop fully and seat it upright in its vertical stand. Release both objects and return both arms to their starting poses.", + "native_instruction": "Hang the headphones on the headphone stand, close the laptop, then place it into the vertical laptop stand.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-21-seed0-formal", + "episode_id": "task04-03-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -1749,91 +1793,49 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Hang all the mugs on the mug rack.", - "instruction": "Hang all three mugs by their handles on the raised supports of the mug rack. Seat each handle securely over a support, with the mug hanging clear of the table. Release all mugs and return both arms to their starting poses.", + "native_instruction": "Hang the headphones on the headphone stand, close the laptop, then place it into the vertical laptop stand.", + "instruction": "Hang the headphones by the middle of their headband, aligned with the stand cradle so both earcups hang evenly below it. Close the laptop fully and seat it upright in its vertical stand. Release both objects and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Hang all ", - "modified": "Hang all " + "original": "Hang the headphones ", + "modified": "Hang the headphones " }, { "op": "replace", - "original": "the", - "modified": "three" + "original": "on", + "modified": "by" }, { "op": "equal", - "original": " mugs ", - "modified": " mugs " + "original": " the ", + "modified": " the " }, { - "op": "insert", - "original": "", - "modified": "by their handles " + "op": "replace", + "original": "headphone", + "modified": "middle" }, { "op": "equal", - "original": "on", - "modified": "on" + "original": " ", + "modified": " " }, { - "op": "insert", - "original": "", - "modified": " the raised supports of" + "op": "replace", + "original": "stand,", + "modified": "of" }, { "op": "equal", - "original": " the mug rack.", - "modified": " the mug rack." + "original": " ", + "modified": " " }, - { - "op": "insert", - "original": "", - "modified": " Seat each handle securely over a support, with the mug hanging clear of the table. Release all mugs and return both arms to their starting poses." - } - ], - "changed": true, - "preserve_whitespace": true, - "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/21-robodojo-hang-mugs/task.yaml" - }, - "display_slot": "19", - "display_key": "task04/19", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/23", - "family": "task04", - "slot": "23", - "native_id": "robodojo/imitate-sorting-sequence", - "title": "Imitate sorting sequence", - "catalog_instruction": "Keep both arms at their starting poses while the other robot demonstrates the five-object placement sequence. After it finishes, place your corresponding objects one at a time into the empty basket in the same order. Keep every previously placed object inside, and leave the demonstration objects in the other basket. Return both arms to their starting poses when finished.", - "native_instruction": "Observe the object placement order, remember it, then place the corresponding objects into the basket in the same order.", - "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", - "status": "completed", - "episode_id": "task04-23-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "modified" - }, - "instruction_revision": { - "native_instruction": "Observe the object placement order, remember it, then place the corresponding objects into the basket in the same order.", - "instruction": "Keep both arms at their starting poses while the other robot demonstrates the five-object placement sequence. After it finishes, place your corresponding objects one at a time into the empty basket in the same order. Keep every previously placed object inside, and leave the demonstration objects in the other basket. Return both arms to their starting poses when finished.", - "native_instruction_kind": "episode", - "diff": [ { "op": "replace", - "original": "Observe", - "modified": "Keep both arms at their starting poses while" + "original": "close", + "modified": "their headband, aligned with" }, { "op": "equal", @@ -1842,18 +1844,18 @@ }, { "op": "replace", - "original": "object", - "modified": "other robot demonstrates the five-object" + "original": "laptop,", + "modified": "stand" }, { "op": "equal", - "original": " placement ", - "modified": " placement " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "order,", - "modified": "sequence." + "original": "then", + "modified": "cradle" }, { "op": "equal", @@ -1862,92 +1864,72 @@ }, { "op": "replace", - "original": "remember", - "modified": "After" + "original": "place", + "modified": "so both earcups hang evenly below it. Close the laptop fully and seat" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " it ", + "modified": " it " }, { "op": "replace", - "original": "it,", - "modified": "it" + "original": "into", + "modified": "upright" }, { "op": "equal", "original": " ", "modified": " " }, - { - "op": "replace", - "original": "then", - "modified": "finishes," - }, - { - "op": "equal", - "original": " place ", - "modified": " place " - }, { "op": "replace", "original": "the", - "modified": "your" - }, - { - "op": "equal", - "original": " corresponding objects ", - "modified": " corresponding objects " - }, - { - "op": "insert", - "original": "", - "modified": "one at a time " + "modified": "in its" }, { "op": "equal", - "original": "into the", - "modified": "into the" + "original": " vertical ", + "modified": " vertical " }, { - "op": "insert", - "original": "", - "modified": " empty" + "op": "replace", + "original": "laptop", + "modified": "stand." }, { "op": "equal", - "original": " basket in the same order.", - "modified": " basket in the same order." + "original": " ", + "modified": " " }, { - "op": "insert", - "original": "", - "modified": " Keep every previously placed object inside, and leave the demonstration objects in the other basket. Return both arms to their starting poses when finished." + "op": "replace", + "original": "stand.", + "modified": "Release both objects and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/23-robodojo-imitate-sorting-sequence/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/03-robodojo-store-laptop-and-headphones/task.yaml" }, - "display_slot": "20", - "display_key": "task04/20", + "display_slot": "03", + "display_key": "task04/03", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/24", + "key": "task04/04", "family": "task04", - "slot": "24", - "native_id": "robodojo/insert-key", - "title": "Insert key", - "catalog_instruction": "Pick up the key, hand it over to the other hand, and insert its blade fully into the keyhole with the handle above it. Keeping the key upright and seated, turn it clockwise by about 60 degrees from the keyhole's insertion orientation, as viewed from above.", - "native_instruction": "Pick up the key, hand it over to the other hand, insert it into the keyhole, then turn it.", + "slot": "04", + "native_id": "robodojo/cover-blocks", + "title": "Cover blocks", + "catalog_instruction": "Use the three cups to cover the blocks one at a time, from left to right. Remember the block colors. Once all three are covered, uncover them one at a time in this order: red, green, blue. Keep every cup upside down throughout, leave the blocks in their original positions, and return both arms to their starting poses when finished.", + "native_instruction": "Cover the blocks from left to right, remember their colors, then uncover them in the order: red, green, and blue.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-24-seed0-formal", + "episode_id": "task04-04-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -1958,39 +1940,64 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Pick up the key, hand it over to the other hand, insert it into the keyhole, then turn it.", - "instruction": "Pick up the key, hand it over to the other hand, and insert its blade fully into the keyhole with the handle above it. Keeping the key upright and seated, turn it clockwise by about 60 degrees from the keyhole's insertion orientation, as viewed from above.", + "native_instruction": "Cover the blocks from left to right, remember their colors, then uncover them in the order: red, green, and blue.", + "instruction": "Use the three cups to cover the blocks one at a time, from left to right. Remember the block colors. Once all three are covered, uncover them one at a time in this order: red, green, blue. Keep every cup upside down throughout, leave the blocks in their original positions, and return both arms to their starting poses when finished.", "native_instruction_kind": "episode", "diff": [ + { + "op": "replace", + "original": "Cover", + "modified": "Use the three cups to cover" + }, { "op": "equal", - "original": "Pick up the key, hand it over to the other hand, ", - "modified": "Pick up the key, hand it over to the other hand, " + "original": " the blocks", + "modified": " the blocks" }, { "op": "insert", "original": "", - "modified": "and " + "modified": " one at a time," }, { "op": "equal", - "original": "insert ", - "modified": "insert " + "original": " from left to ", + "modified": " from left to " }, { "op": "replace", - "original": "it", - "modified": "its blade fully" + "original": "right,", + "modified": "right." }, { "op": "equal", - "original": " into the ", - "modified": " into the " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "keyhole,", - "modified": "keyhole" + "original": "remember", + "modified": "Remember" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "their", + "modified": "the" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "colors,", + "modified": "block" }, { "op": "equal", @@ -2000,41 +2007,97 @@ { "op": "replace", "original": "then", - "modified": "with the handle above it. Keeping the key upright and seated," + "modified": "colors. Once all three are covered," }, { "op": "equal", - "original": " turn ", - "modified": " turn " + "original": " uncover them ", + "modified": " uncover them " + }, + { + "op": "insert", + "original": "", + "modified": "one at a time " + }, + { + "op": "equal", + "original": "in ", + "modified": "in " }, { "op": "replace", - "original": "it.", - "modified": "it clockwise by about 60 degrees from the keyhole's insertion orientation, as viewed from above." + "original": "the", + "modified": "this" + }, + { + "op": "equal", + "original": " order: red, green, ", + "modified": " order: red, green, " + }, + { + "op": "insert", + "original": "", + "modified": "blue. Keep every cup upside down throughout, leave the blocks in their original positions, " + }, + { + "op": "equal", + "original": "and ", + "modified": "and " + }, + { + "op": "replace", + "original": "blue.", + "modified": "return both arms to their starting poses when finished." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/24-robodojo-insert-key/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/04-robodojo-cover-blocks/task.yaml" }, - "display_slot": "21", - "display_key": "task04/21", + "display_slot": "04", + "display_key": "task04/04", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/25", + "key": "task04/05", "family": "task04", - "slot": "25", - "native_id": "robodojo/make-kong", - "title": "Make kong", - "catalog_instruction": "Wait with both arms at their starting poses until the opponent finishes discarding. Declare a kong by laying your three matching tiles face up, leaving the rest of your hand upright. Draw the top replacement tile from the nearer stack on your left, keeping it face down and parallel to your row, then stand it in the vacant place at the right end of your hand and release it.", - "native_instruction": "Wait for the opponent to discard a tile, then declare a kong with the matching tiles.", + "slot": "05", + "native_id": "robodojo/play-xylophone", + "title": "Play xylophone", + "catalog_instruction": "Complete the benchmark task: play Xylophone.", + "native_instruction": "Pick up the mallet and strike all xylophone keys from left to right.", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task04-05-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "display_slot": "05", + "display_key": "task04/05", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/06", + "family": "task04", + "slot": "06", + "native_id": "robodojo/store-tools-in-toolbox", + "title": "Store tools in toolbox", + "catalog_instruction": "Place each tool flat in its matching shaped recess, aligned with the outline and fully below the toolbox rim. Release all tools and return both arms to their starting poses.", + "native_instruction": "Place each tool into its matching position in the toolbox, then reset the robot arm.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-25-seed0-formal", + "episode_id": "task04-06-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -2045,29 +2108,29 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Wait for the opponent to discard a tile, then declare a kong with the matching tiles.", - "instruction": "Wait with both arms at their starting poses until the opponent finishes discarding. Declare a kong by laying your three matching tiles face up, leaving the rest of your hand upright. Draw the top replacement tile from the nearer stack on your left, keeping it face down and parallel to your row, then stand it in the vacant place at the right end of your hand and release it.", + "native_instruction": "Place each tool into its matching position in the toolbox, then reset the robot arm.", + "instruction": "Place each tool flat in its matching shaped recess, aligned with the outline and fully below the toolbox rim. Release all tools and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Wait ", - "modified": "Wait " + "original": "Place each tool ", + "modified": "Place each tool " }, { "op": "replace", - "original": "for", - "modified": "with both arms at their starting poses until" + "original": "into", + "modified": "flat in" }, { "op": "equal", - "original": " the opponent ", - "modified": " the opponent " + "original": " its matching ", + "modified": " its matching " }, { "op": "replace", - "original": "to", - "modified": "finishes" + "original": "position", + "modified": "shaped" }, { "op": "equal", @@ -2076,28 +2139,28 @@ }, { "op": "replace", - "original": "discard", - "modified": "discarding." + "original": "in", + "modified": "recess, aligned with" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " the ", + "modified": " the " }, { "op": "replace", - "original": "a tile, then declare", - "modified": "Declare" + "original": "toolbox,", + "modified": "outline" }, { "op": "equal", - "original": " a kong ", - "modified": " a kong " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "with", - "modified": "by" + "original": "then", + "modified": "and" }, { "op": "equal", @@ -2106,81 +2169,52 @@ }, { "op": "replace", - "original": "the", - "modified": "laying your three" + "original": "reset", + "modified": "fully below" }, { "op": "equal", - "original": " matching tiles", - "modified": " matching tiles" + "original": " the ", + "modified": " the " }, { - "op": "insert", - "original": "", - "modified": " face up, leaving the rest of your hand upright" + "op": "replace", + "original": "robot", + "modified": "toolbox" }, { "op": "equal", - "original": ".", - "modified": "." + "original": " ", + "modified": " " }, { - "op": "insert", - "original": "", - "modified": " Draw the top replacement tile from the nearer stack on your left, keeping it face down and parallel to your row, then stand it in the vacant place at the right end of your hand and release it." + "op": "replace", + "original": "arm.", + "modified": "rim. Release all tools and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/25-robodojo-make-kong/task.yaml", - "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", - "native_predicates_unchanged": true, - "review_reason": "State the turn and replacement-tile rules in one paragraph without a manipulation plan." - }, - "display_slot": "22", - "display_key": "task04/22", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/27", - "family": "task04", - "slot": "27", - "native_id": "robodojo/match-and-pick-from-conveyor", - "title": "Match and pick from conveyor", - "catalog_instruction": "Complete the benchmark task: match and pick from conveyor.", - "native_instruction": "Remember the first object on the conveyor, then pick the matching object when it appears again.", - "instruction_source": "runtime native task.instruction", - "status": "completed", - "episode_id": "task04-27-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "original_native" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/06-robodojo-store-tools-in-toolbox/task.yaml" }, - "display_slot": "23", - "display_key": "task04/23", + "display_slot": "06", + "display_key": "task04/06", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/28", + "key": "task04/07", "family": "task04", - "slot": "28", - "native_id": "robodojo/organize-table", - "title": "Organize table", - "catalog_instruction": "Place the alarm clock upright on top of the drawer unit and stand the figurine upright at the center of its small stand. Place the mouse flat on the mouse pad in its normal working orientation, with its front pointing toward the monitor. Push the keyboard flat into the outlined frame, aligned with the frame and facing the robot. Let all four objects settle, release them, and return both arms to their starting poses.", - "native_instruction": "Place the alarm clock on the drawer, put the figurine on the stand, place the mouse on the mouse pad, and push the keyboard into the frame.", + "slot": "07", + "native_id": "robodojo/insert-tubes", + "title": "Insert tubes", + "catalog_instruction": "Insert the three tubes upright into the rack one by one, pointed ends down, until they are fully seated. Release them and return both arms to their starting poses.", + "native_instruction": "Insert the three tubes into the rack one by one.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-28-seed0-formal", + "episode_id": "task04-07-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -2191,69 +2225,133 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Place the alarm clock on the drawer, put the figurine on the stand, place the mouse on the mouse pad, and push the keyboard into the frame.", - "instruction": "Place the alarm clock upright on top of the drawer unit and stand the figurine upright at the center of its small stand. Place the mouse flat on the mouse pad in its normal working orientation, with its front pointing toward the monitor. Push the keyboard flat into the outlined frame, aligned with the frame and facing the robot. Let all four objects settle, release them, and return both arms to their starting poses.", + "native_instruction": "Insert the three tubes into the rack one by one.", + "instruction": "Insert the three tubes upright into the rack one by one, pointed ends down, until they are fully seated. Release them and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Place the alarm clock ", - "modified": "Place the alarm clock " + "original": "Insert the three tubes", + "modified": "Insert the three tubes" }, { "op": "insert", "original": "", - "modified": "upright " + "modified": " upright" }, { "op": "equal", - "original": "on", - "modified": "on" + "original": " into the rack one by one", + "modified": " into the rack one by one" }, { "op": "insert", "original": "", - "modified": " top of" + "modified": ", pointed ends down, until they are fully seated" }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": ".", + "modified": "." }, { - "op": "replace", - "original": "drawer,", - "modified": "drawer" + "op": "insert", + "original": "", + "modified": " Release them and return both arms to their starting poses." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/07-robodojo-insert-tubes/task.yaml", + "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "native_predicates_unchanged": true, + "review_reason": "Describe fully seated tubes without exposing the verifier insertion-depth threshold." + }, + "display_slot": "07", + "display_key": "task04/07", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [ + { + "id": "07-robodojo-insert-tubes-codex-seed0-attempt01", + "execution": { + "reason": "process_error", + "status": "interrupted" }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/07/07-robodojo-insert-tubes-codex-seed0-attempt01/provenance.json" + } + } + ] + }, + { + "key": "task04/08", + "family": "task04", + "slot": "08", + "native_id": "robodojo/deposit-coin", + "title": "Deposit coin", + "catalog_instruction": "Pick up the coin from its holder and deposit it through the slot of the coin bank. Let the coin fall fully inside the bank, then return both arms to their starting poses.", + "native_instruction": "Pick up the coin from the holder and insert it precisely into the coin bank.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-08-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Pick up the coin from the holder and insert it precisely into the coin bank.", + "instruction": "Pick up the coin from its holder and deposit it through the slot of the coin bank. Let the coin fall fully inside the bank, then return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ { "op": "equal", - "original": " ", - "modified": " " + "original": "Pick up the coin from ", + "modified": "Pick up the coin from " }, { "op": "replace", - "original": "put", - "modified": "unit and stand" + "original": "the", + "modified": "its" }, { "op": "equal", - "original": " the figurine ", - "modified": " the figurine " + "original": " holder and ", + "modified": " holder and " }, { "op": "replace", - "original": "on", - "modified": "upright at" + "original": "insert", + "modified": "deposit" }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": " it ", + "modified": " it " }, { "op": "replace", - "original": "stand,", - "modified": "center" + "original": "precisely", + "modified": "through" }, { "op": "equal", @@ -2262,28 +2360,70 @@ }, { "op": "replace", - "original": "place", - "modified": "of its small stand. Place" + "original": "into", + "modified": "the slot of" }, { "op": "equal", - "original": " the mouse", - "modified": " the mouse" + "original": " the coin bank.", + "modified": " the coin bank." }, { "op": "insert", "original": "", - "modified": " flat" + "modified": " Let the coin fall fully inside the bank, then return both arms to their starting poses." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/08-robodojo-deposit-coin/task.yaml" + }, + "display_slot": "08", + "display_key": "task04/08", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/09", + "family": "task04", + "slot": "09", + "native_id": "robodojo/fasten-screws", + "title": "Fasten screws", + "catalog_instruction": "Fit each nut upright onto the bolt of the same color and seat it fully. Release the nuts, fully open both grippers, and return both arms to their starting poses.", + "native_instruction": "Insert and tighten each screw into the nut of the same color.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-09-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Insert and tighten each screw into the nut of the same color.", + "instruction": "Fit each nut upright onto the bolt of the same color and seat it fully. Release the nuts, fully open both grippers, and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "replace", + "original": "Insert and tighten", + "modified": "Fit" }, { "op": "equal", - "original": " on the mouse ", - "modified": " on the mouse " + "original": " each ", + "modified": " each " }, { "op": "replace", - "original": "pad,", - "modified": "pad" + "original": "screw", + "modified": "nut" }, { "op": "equal", @@ -2292,62 +2432,65 @@ }, { "op": "replace", - "original": "and", - "modified": "in" + "original": "into", + "modified": "upright onto" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " the ", + "modified": " the " }, { "op": "replace", - "original": "push", - "modified": "its normal working orientation, with its front pointing toward the monitor. Push" + "original": "nut", + "modified": "bolt" }, { "op": "equal", - "original": " the keyboard ", - "modified": " the keyboard " + "original": " of the same color", + "modified": " of the same color" }, { "op": "insert", "original": "", - "modified": "flat " + "modified": " and seat it fully" }, { "op": "equal", - "original": "into the ", - "modified": "into the " + "original": ".", + "modified": "." }, { - "op": "replace", - "original": "frame.", - "modified": "outlined frame, aligned with the frame and facing the robot. Let all four objects settle, release them, and return both arms to their starting poses." + "op": "insert", + "original": "", + "modified": " Release the nuts, fully open both grippers, and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/28-robodojo-organize-table/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/09-robodojo-fasten-screws/task.yaml", + "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "native_predicates_unchanged": true, + "review_reason": "Use a natural paragraph for matching and seating nuts; omit geometric scoring thresholds." }, - "display_slot": "24", - "display_key": "task04/24", + "display_slot": "09", + "display_key": "task04/09", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/29", + "key": "task04/10", "family": "task04", - "slot": "29", - "native_id": "robodojo/pack-objects-into-box", - "title": "Pack objects into box", - "catalog_instruction": "Place all four objects inside the bottom of the box, with their front sides facing left from the robot's viewpoint and their lengths aligned along the box. Keep the box upright with its long sides running left to right across the table. Release the objects and return both arms to their starting poses.", - "native_instruction": "Place all the objects into the box with their front sides facing left.", + "slot": "10", + "native_id": "robodojo/play-stacking-toy", + "title": "Play stacking toy", + "catalog_instruction": "Place all stacking toy pieces onto their matching pegs, with the pieces neatly stacked and fully seated, then release them and return both arms to their starting poses.", + "native_instruction": "Place all stacking toy pieces onto the correct pegs.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-29-seed0-formal", + "episode_id": "task04-10-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -2358,73 +2501,97 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Place all the objects into the box with their front sides facing left.", - "instruction": "Place all four objects inside the bottom of the box, with their front sides facing left from the robot's viewpoint and their lengths aligned along the box. Keep the box upright with its long sides running left to right across the table. Release the objects and return both arms to their starting poses.", + "native_instruction": "Place all stacking toy pieces onto the correct pegs.", + "instruction": "Place all stacking toy pieces onto their matching pegs, with the pieces neatly stacked and fully seated, then release them and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Place all ", - "modified": "Place all " + "original": "Place all stacking toy pieces onto ", + "modified": "Place all stacking toy pieces onto " }, { - "op": "replace", - "original": "the", - "modified": "four" + "op": "insert", + "original": "", + "modified": "their matching pegs, with " }, { "op": "equal", - "original": " objects ", - "modified": " objects " + "original": "the ", + "modified": "the " }, { "op": "replace", - "original": "into", - "modified": "inside" + "original": "correct", + "modified": "pieces" }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "box", - "modified": "bottom of the box," + "original": "pegs", + "modified": "neatly stacked and fully seated, then release them and return both arms to their starting poses" }, { "op": "equal", - "original": " with their front sides facing ", - "modified": " with their front sides facing " - }, - { - "op": "replace", - "original": "left.", - "modified": "left from the robot's viewpoint and their lengths aligned along the box. Keep the box upright with its long sides running left to right across the table. Release the objects and return both arms to their starting poses." + "original": ".", + "modified": "." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/29-robodojo-pack-objects-into-box/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/10-robodojo-play-stacking-toy/task.yaml", + "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "native_predicates_unchanged": true, + "review_reason": "Leave piece counts and peg matching to the agent while retaining the intended completed arrangement." }, - "display_slot": "25", - "display_key": "task04/25", + "display_slot": "10", + "display_key": "task04/10", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/31", + "key": "task04/11", "family": "task04", - "slot": "31", - "native_id": "robodojo/pick-from-conveyor-by-image", - "title": "Pick from conveyor by image", - "catalog_instruction": "Identify the target object on the conveyor from the image on the board. Lift and hold the basket more than 8 cm above its starting height, then pick up the matching object and place it down inside the basket. Keep the basket raised, with the object resting at its bottom and more than 8 cm above its original height.", - "native_instruction": "Lift the basket more than 8 cm, identify the target object on the conveyor according to the image on the board, pick it up, and place it into the basket.", + "slot": "11", + "native_id": "robodojo/align-blocks", + "title": "Align blocks", + "catalog_instruction": "Complete the benchmark task: align blocks.", + "native_instruction": "Use the set square to push the three blocks into a straight, aligned row, then reset the robot arm.", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task04-11-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "display_slot": "11", + "display_key": "task04/11", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/12", + "family": "task04", + "slot": "12", + "native_id": "robodojo/arrange-largest-number", + "title": "Arrange largest number", + "catalog_instruction": "Arrange all the digits on the pads to form the largest possible number when read from left to right. Leave one digit lying flat on each pad, readable from the robot's side, then return both arms to their starting poses.", + "native_instruction": "Arrange the numbers from left to right to form the largest possible number, and place them on the pad.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-31-seed0-formal", + "episode_id": "task04-12-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -2435,44 +2602,69 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Lift the basket more than 8 cm, identify the target object on the conveyor according to the image on the board, pick it up, and place it into the basket.", - "instruction": "Identify the target object on the conveyor from the image on the board. Lift and hold the basket more than 8 cm above its starting height, then pick up the matching object and place it down inside the basket. Keep the basket raised, with the object resting at its bottom and more than 8 cm above its original height.", + "native_instruction": "Arrange the numbers from left to right to form the largest possible number, and place them on the pad.", + "instruction": "Arrange all the digits on the pads to form the largest possible number when read from left to right. Leave one digit lying flat on each pad, readable from the robot's side, then return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ + { + "op": "equal", + "original": "Arrange", + "modified": "Arrange" + }, + { + "op": "insert", + "original": "", + "modified": " all" + }, + { + "op": "equal", + "original": " the ", + "modified": " the " + }, { "op": "replace", - "original": "Lift the basket more than 8 cm, identify", - "modified": "Identify" + "original": "numbers", + "modified": "digits" }, { "op": "equal", - "original": " the target object on the conveyor ", - "modified": " the target object on the conveyor " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "according to", - "modified": "from" + "original": "from", + "modified": "on" }, { "op": "equal", - "original": " the image on the ", - "modified": " the image on the " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "board,", - "modified": "board. Lift and hold the basket more than 8 cm above its starting height, then" + "original": "left", + "modified": "the" }, { "op": "equal", - "original": " pick ", - "modified": " pick " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "it", - "modified": "up" + "original": "to right", + "modified": "pads" + }, + { + "op": "equal", + "original": " to form the largest possible number", + "modified": " to form the largest possible number" + }, + { + "op": "delete", + "original": ",", + "modified": "" }, { "op": "equal", @@ -2481,52 +2673,80 @@ }, { "op": "replace", - "original": "up,", - "modified": "the matching object" + "original": "and", + "modified": "when" }, { "op": "equal", - "original": " and place it ", - "modified": " and place it " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "into", - "modified": "down inside" + "original": "place", + "modified": "read" }, { "op": "equal", - "original": " the basket.", - "modified": " the basket." + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "them", + "modified": "from left to right. Leave one digit lying flat" + }, + { + "op": "equal", + "original": " on ", + "modified": " on " }, { "op": "insert", "original": "", - "modified": " Keep the basket raised, with the object resting at its bottom and more than 8 cm above its original height." + "modified": "each pad, readable from " + }, + { + "op": "equal", + "original": "the ", + "modified": "the " + }, + { + "op": "replace", + "original": "pad", + "modified": "robot's side, then return both arms to their starting poses" + }, + { + "op": "equal", + "original": ".", + "modified": "." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/31-robodojo-pick-from-conveyor-by-image/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/12-robodojo-arrange-largest-number/task.yaml", + "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "native_predicates_unchanged": true, + "review_reason": "Leave the numerical ordering strategy to the agent while retaining readable placement on the pads." }, - "display_slot": "26", - "display_key": "task04/26", + "display_slot": "12", + "display_key": "task04/12", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/32", + "key": "task04/14", "family": "task04", - "slot": "32", - "native_id": "robodojo/play-tic-tac-toe", - "title": "Play tic tac toe", - "catalog_instruction": "Take the first turn and alternate with the opponent until the tic-tac-toe board is full, placing one ring flat in an empty cell on each turn. After each move, release the piece and return both arms to their starting poses, waiting there until the opponent finishes its move.", - "native_instruction": "Play tic-tac-toe as the first player and fill the board with the opponent.", + "slot": "14", + "native_id": "robodojo/build-tower", + "title": "Build tower", + "catalog_instruction": "Build a tower, from bottom to top: two white blocks, the long board, two white blocks, the short board, the small plank, and the green roof. Use one white block from each original side in each pair. Keep the white blocks, boards and plank horizontal on their original bottom faces, and the roof upright on its base. Center the short board, plank and roof over the piece directly below. Align the plank lengthwise with the short board, with the roof ridge perpendicular to the plank\u2019s long edges. Release everything, open both grippers, and return both arms to their starting poses.", + "native_instruction": "Build a tower using the wooden blocks and wooden boards.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-32-seed0-formal", + "episode_id": "task04-14-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -2537,191 +2757,156 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Play tic-tac-toe as the first player and fill the board with the opponent.", - "instruction": "Take the first turn and alternate with the opponent until the tic-tac-toe board is full, placing one ring flat in an empty cell on each turn. After each move, release the piece and return both arms to their starting poses, waiting there until the opponent finishes its move.", + "native_instruction": "Build a tower using the wooden blocks and wooden boards.", + "instruction": "Build a tower, from bottom to top: two white blocks, the long board, two white blocks, the short board, the small plank, and the green roof. Use one white block from each original side in each pair. Keep the white blocks, boards and plank horizontal on their original bottom faces, and the roof upright on its base. Center the short board, plank and roof over the piece directly below. Align the plank lengthwise with the short board, with the roof ridge perpendicular to the plank\u2019s long edges. Release everything, open both grippers, and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ { - "op": "replace", - "original": "Play", - "modified": "Take the first turn and alternate with the opponent until the" + "op": "equal", + "original": "Build a tower", + "modified": "Build a tower" + }, + { + "op": "insert", + "original": "", + "modified": "," }, { "op": "equal", - "original": " tic-tac-toe ", - "modified": " tic-tac-toe " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "as", - "modified": "board is full, placing one ring flat in an empty cell on each turn. After each move, release" + "original": "using", + "modified": "from bottom" }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": " t", + "modified": " t" }, { "op": "replace", - "original": "first player", - "modified": "piece" + "original": "he", + "modified": "o top: two" }, { "op": "equal", - "original": " and ", - "modified": " and " + "original": " w", + "modified": " w" }, { "op": "replace", - "original": "fill", - "modified": "return" + "original": "ood", + "modified": "hit" }, { "op": "equal", - "original": " ", - "modified": " " + "original": "e", + "modified": "e" }, { - "op": "replace", - "original": "the", - "modified": "both" + "op": "delete", + "original": "n", + "modified": "" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " blocks", + "modified": " blocks" }, { - "op": "replace", - "original": "board", - "modified": "arms" + "op": "insert", + "original": "", + "modified": ", the long board, two white blocks, the short board, the small plank," }, { "op": "equal", - "original": " ", - "modified": " " + "original": " and ", + "modified": " and " }, { "op": "replace", - "original": "with", - "modified": "to their starting poses, waiting there until" + "original": "w", + "modified": "the green r" }, { "op": "equal", - "original": " the opponent", - "modified": " the opponent" + "original": "oo", + "modified": "oo" }, { "op": "insert", "original": "", - "modified": " finishes its move" + "modified": "f. Use one white block from each original si" }, { "op": "equal", - "original": ".", - "modified": "." - } - ], - "changed": true, - "preserve_whitespace": true, - "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/32-robodojo-play-tic-tac-toe/task.yaml", - "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", - "native_predicates_unchanged": true, - "review_reason": "State alternating turns and waiting rules without supplying the inferred ring counts." - }, - "display_slot": "27", - "display_key": "task04/27", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/33", - "family": "task04", - "slot": "33", - "native_id": "robodojo/plug-in-charger", - "title": "Plug in charger", - "catalog_instruction": "Plug the charger fully into a socket on the power strip, then release it and return both arms to their starting poses.", - "native_instruction": "Plug the charger into the power strip.", - "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", - "status": "completed", - "episode_id": "task04-33-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "modified" - }, - "instruction_revision": { - "native_instruction": "Plug the charger into the power strip.", - "instruction": "Plug the charger fully into a socket on the power strip, then release it and return both arms to their starting poses.", - "native_instruction_kind": "episode", - "diff": [ - { - "op": "equal", - "original": "Plug the charger ", - "modified": "Plug the charger " + "original": "de", + "modified": "de" }, { "op": "insert", "original": "", - "modified": "fully " + "modified": " i" }, { "op": "equal", - "original": "into", - "modified": "into" + "original": "n", + "modified": "n" }, { "op": "insert", "original": "", - "modified": " a socket on" + "modified": " each pair. Keep the white blocks," }, { "op": "equal", - "original": " the power strip", - "modified": " the power strip" + "original": " boards", + "modified": " boards" }, { "op": "insert", "original": "", - "modified": ", then release it and return both arms to their starting poses" + "modified": " and plank horizontal on their original bottom faces, and the roof upright on its base" }, { "op": "equal", "original": ".", "modified": "." + }, + { + "op": "insert", + "original": "", + "modified": " Center the short board, plank and roof over the piece directly below. Align the plank lengthwise with the short board, with the roof ridge perpendicular to the plank\u2019s long edges. Release everything, open both grippers, and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/33-robodojo-plug-in-charger/task.yaml", - "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/14-robodojo-build-tower/task.yaml", "native_predicates_unchanged": true, - "review_reason": "Describe a fully plugged-in charger without the verifier insertion-depth threshold." + "evaluation_status": "Evaluated with this modified instruction.", + "review_reason": "Shorten the successful instruction while preserving the tower structure, original bottom faces, horizontal orientation, centering, plank alignment, perpendicular roof ridge, release and arm return requirements." }, - "display_slot": "28", - "display_key": "task04/28", + "display_slot": "13", + "display_key": "task04/13", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/34", + "key": "task04/15", "family": "task04", - "slot": "34", - "native_id": "robodojo/pour-balls-into-vase", - "title": "Pour balls into vase", - "catalog_instruction": "Pour all seven balls from the cup into the vase. Leave every ball inside the vase, put the empty cup down upright, and return both arms to their starting poses.", - "native_instruction": "Pour all the balls from the cup into the vase.", + "slot": "15", + "native_id": "robodojo/classify-objects", + "title": "Classify objects", + "catalog_instruction": "Sort all objects by category into the three baskets, with one category per basket. Place every object fully inside and below the basket rim. Release the objects and return both arms to their starting poses.", + "native_instruction": "Sort the objects by category into the three baskets.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-34-seed0-formal", + "episode_id": "task04-15-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -2732,79 +2917,53 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Pour all the balls from the cup into the vase.", - "instruction": "Pour all seven balls from the cup into the vase. Leave every ball inside the vase, put the empty cup down upright, and return both arms to their starting poses.", + "native_instruction": "Sort the objects by category into the three baskets.", + "instruction": "Sort all objects by category into the three baskets, with one category per basket. Place every object fully inside and below the basket rim. Release the objects and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Pour all ", - "modified": "Pour all " + "original": "Sort ", + "modified": "Sort " }, { "op": "replace", "original": "the", - "modified": "seven" + "modified": "all" }, { "op": "equal", - "original": " balls from the cup into the vase.", - "modified": " balls from the cup into the vase." + "original": " objects by category into the three ", + "modified": " objects by category into the three " }, { - "op": "insert", - "original": "", - "modified": " Leave every ball inside the vase, put the empty cup down upright, and return both arms to their starting poses." + "op": "replace", + "original": "baskets.", + "modified": "baskets, with one category per basket. Place every object fully inside and below the basket rim. Release the objects and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/34-robodojo-pour-balls-into-vase/task.yaml" - }, - "display_slot": "29", - "display_key": "task04/29", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/35", - "family": "task04", - "slot": "35", - "native_id": "robodojo/pour-by-language", - "title": "Pour by language", - "catalog_instruction": "Complete the benchmark task: pour by language.", - "native_instruction": "Pour the liquid from the first violet bottle into the first black bowl, from the second red bottle into the second white bowl, and from the third turquoise bottle into the third brown bowl. Then reset the robot arm.", - "instruction_source": "runtime native task.instruction", - "status": "completed", - "episode_id": "task04-35-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "original_native" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/15-robodojo-classify-objects/task.yaml" }, - "display_slot": "30", - "display_key": "task04/30", + "display_slot": "14", + "display_key": "task04/14", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/36", + "key": "task04/16", "family": "task04", - "slot": "36", - "native_id": "robodojo/pour-liquid-into-cup", - "title": "Pour liquid into cup", - "catalog_instruction": "Pour nearly all the liquid into the cup with almost no spillage. Keep the bottle tilted over the cup until the flow stops and the liquid settles, then return it upright, leaving only a small residue inside.", - "native_instruction": "Pour the liquid from the bottle into the cup.", + "slot": "16", + "native_id": "robodojo/fill-egg-holder", + "title": "Fill egg holder", + "catalog_instruction": "Place all four eggs from the basket into the egg holder, seated fully down in its egg compartments. Close the lid fully without dislodging the eggs, release the holder, and return both arms to their starting poses.", + "native_instruction": "Place the four eggs from the basket into the egg holder, then close the lid.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-36-seed0-formal", + "episode_id": "task04-16-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -2815,76 +2974,73 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Pour the liquid from the bottle into the cup.", - "instruction": "Pour nearly all the liquid into the cup with almost no spillage. Keep the bottle tilted over the cup until the flow stops and the liquid settles, then return it upright, leaving only a small residue inside.", + "native_instruction": "Place the four eggs from the basket into the egg holder, then close the lid.", + "instruction": "Place all four eggs from the basket into the egg holder, seated fully down in its egg compartments. Close the lid fully without dislodging the eggs, release the holder, and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Pour", - "modified": "Pour" + "original": "Place ", + "modified": "Place " }, { - "op": "insert", - "original": "", - "modified": " nearly all" + "op": "replace", + "original": "the", + "modified": "all" }, { "op": "equal", - "original": " the liquid", - "modified": " the liquid" + "original": " four eggs from the basket into the egg holder, ", + "modified": " four eggs from the basket into the egg holder, " }, { - "op": "delete", - "original": " from the bottle", - "modified": "" + "op": "replace", + "original": "then", + "modified": "seated" }, { "op": "equal", - "original": " into the cup", - "modified": " into the cup" + "original": " ", + "modified": " " }, { - "op": "insert", - "original": "", - "modified": " with almost no spillage" + "op": "replace", + "original": "close", + "modified": "fully down in its egg compartments. Close" }, { "op": "equal", - "original": ".", - "modified": "." + "original": " the ", + "modified": " the " }, { - "op": "insert", - "original": "", - "modified": " Keep the bottle tilted over the cup until the flow stops and the liquid settles, then return it upright, leaving only a small residue inside." + "op": "replace", + "original": "lid.", + "modified": "lid fully without dislodging the eggs, release the holder, and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/36-robodojo-pour-liquid-into-cup/task.yaml", - "native_predicates_unchanged": true, - "evaluation_status": "Evaluated with this modified instruction.", - "review_reason": "Wait for flow to stop and liquid to settle while tilted before returning the bottle upright." + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/16-robodojo-fill-egg-holder/task.yaml" }, - "display_slot": "31", - "display_key": "task04/31", + "display_slot": "15", + "display_key": "task04/15", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/38", + "key": "task04/17", "family": "task04", - "slot": "38", - "native_id": "robodojo/press-by-number", - "title": "Press by number", - "catalog_instruction": "Starting with the left red button, press and release each red button the number of times shown on its card, confirming that button's count with a press and release of the blue button before moving to the next. Return both arms to their starting poses when finished.", - "native_instruction": "Press the two red buttons the required number of times according to the number cards, then press the blue button to confirm.", + "slot": "17", + "native_id": "robodojo/fill-pen-holder", + "title": "Fill pen holder", + "catalog_instruction": "Hold the pen holder with one hand and insert all the pens with the other, writing ends down and fully seated inside. Put the holder down upright, release it, and return both arms to their starting poses.", + "native_instruction": "Hold the pen holder with one hand, place all pens into it with the other hand, then put it back down.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-38-seed0-formal", + "episode_id": "task04-17-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -2895,74 +3051,69 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Press the two red buttons the required number of times according to the number cards, then press the blue button to confirm.", - "instruction": "Starting with the left red button, press and release each red button the number of times shown on its card, confirming that button's count with a press and release of the blue button before moving to the next. Return both arms to their starting poses when finished.", + "native_instruction": "Hold the pen holder with one hand, place all pens into it with the other hand, then put it back down.", + "instruction": "Hold the pen holder with one hand and insert all the pens with the other, writing ends down and fully seated inside. Put the holder down upright, release it, and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ - { - "op": "replace", - "original": "Press", - "modified": "Starting with" - }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": "Hold the pen holder with one hand", + "modified": "Hold the pen holder with one hand" }, { - "op": "replace", - "original": "two", - "modified": "left" + "op": "delete", + "original": ",", + "modified": "" }, { "op": "equal", - "original": " red ", - "modified": " red " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "buttons", - "modified": "button, press and release each red button" + "original": "place", + "modified": "and insert" }, { "op": "equal", - "original": " the", - "modified": " the" + "original": " all ", + "modified": " all " }, { - "op": "delete", - "original": " required", - "modified": "" + "op": "insert", + "original": "", + "modified": "the " }, { "op": "equal", - "original": " number of times ", - "modified": " number of times " + "original": "pens", + "modified": "pens" }, { - "op": "replace", - "original": "according", - "modified": "shown" + "op": "delete", + "original": " into it", + "modified": "" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " with the other", + "modified": " with the other" }, { - "op": "replace", - "original": "to", - "modified": "on" + "op": "delete", + "original": " hand", + "modified": "" }, { "op": "equal", - "original": " ", - "modified": " " + "original": ", ", + "modified": ", " }, { "op": "replace", - "original": "the", - "modified": "its" + "original": "then", + "modified": "writing" }, { "op": "equal", @@ -2971,85 +3122,70 @@ }, { "op": "replace", - "original": "number cards", - "modified": "card" - }, - { - "op": "equal", - "original": ", ", - "modified": ", " - }, - { - "op": "replace", - "original": "then", - "modified": "confirming that button's count with a" + "original": "put", + "modified": "ends down and fully seated inside. Put the holder down upright, release" }, { "op": "equal", - "original": " press", - "modified": " press" + "original": " it", + "modified": " it" }, { "op": "insert", "original": "", - "modified": " and release of" + "modified": "," }, { "op": "equal", - "original": " the blue button ", - "modified": " the blue button " + "original": " ", + "modified": " " }, { - "op": "insert", - "original": "", - "modified": "before moving " + "op": "replace", + "original": "back", + "modified": "and" }, { "op": "equal", - "original": "to ", - "modified": "to " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "confirm", - "modified": "the next" + "original": "down", + "modified": "return both arms to their starting poses" }, { "op": "equal", "original": ".", "modified": "." - }, - { - "op": "insert", - "original": "", - "modified": " Return both arms to their starting poses when finished." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/38-robodojo-press-by-number/task.yaml", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/17-robodojo-fill-pen-holder/task.yaml", "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", "native_predicates_unchanged": true, - "review_reason": "Retain the per-button counting and confirmation rules without button-joint thresholds or card answers." + "review_reason": "Retain the native two-hand roles and final pen orientation without the insertion-depth threshold." }, - "display_slot": "32", - "display_key": "task04/32", + "display_slot": "16", + "display_key": "task04/16", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/39", + "key": "task04/18", "family": "task04", - "slot": "39", - "native_id": "robodojo/push-t", - "title": "Push t", - "catalog_instruction": "Slide the T-shaped block along the table until it neatly matches the gray T-shaped pad in position and orientation. Keep the block on the table and return both arms to their starting poses when finished.", - "native_instruction": "Push the T-shaped block to align it precisely with the gray T-shaped pad.", + "slot": "18", + "native_id": "robodojo/fold-clothes", + "title": "Fold clothes", + "catalog_instruction": "Fold the garment into a compact rectangle, with both sleeves folded across the chest and the lower half folded up toward the shoulders. Release the garment, open both grippers, and return both arms to their starting poses when finished.", + "native_instruction": "Fold the clothes neatly.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-39-seed0-formal", + "episode_id": "task04-18-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -3060,44 +3196,19 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Push the T-shaped block to align it precisely with the gray T-shaped pad.", - "instruction": "Slide the T-shaped block along the table until it neatly matches the gray T-shaped pad in position and orientation. Keep the block on the table and return both arms to their starting poses when finished.", + "native_instruction": "Fold the clothes neatly.", + "instruction": "Fold the garment into a compact rectangle, with both sleeves folded across the chest and the lower half folded up toward the shoulders. Release the garment, open both grippers, and return both arms to their starting poses when finished.", "native_instruction_kind": "episode", "diff": [ - { - "op": "replace", - "original": "Push", - "modified": "Slide" - }, - { - "op": "equal", - "original": " the T-shaped block ", - "modified": " the T-shaped block " - }, - { - "op": "replace", - "original": "to", - "modified": "along" - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "align", - "modified": "the table until" - }, { "op": "equal", - "original": " it ", - "modified": " it " + "original": "Fold the ", + "modified": "Fold the " }, { "op": "replace", - "original": "precisely", - "modified": "neatly" + "original": "clothes", + "modified": "garment" }, { "op": "equal", @@ -3106,18 +3217,8 @@ }, { "op": "replace", - "original": "with", - "modified": "matches" - }, - { - "op": "equal", - "original": " the gray T-shaped pad", - "modified": " the gray T-shaped pad" - }, - { - "op": "insert", - "original": "", - "modified": " in position and orientation" + "original": "neatly", + "modified": "into a compact rectangle, with both sleeves folded across the chest and the lower half folded up toward the shoulders" }, { "op": "equal", @@ -3127,34 +3228,34 @@ { "op": "insert", "original": "", - "modified": " Keep the block on the table and return both arms to their starting poses when finished." + "modified": " Release the garment, open both grippers, and return both arms to their starting poses when finished." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/39-robodojo-push-t/task.yaml", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/18-robodojo-fold-clothes/task.yaml", "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", "native_predicates_unchanged": true, - "review_reason": "Describe matching the target shape along the table without internal position and angle tolerances." + "review_reason": "Describe the folded garment without enumerating tracked point correspondences or grasping steps." }, - "display_slot": "33", - "display_key": "task04/33", + "display_slot": "17", + "display_key": "task04/17", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/41", + "key": "task04/20", "family": "task04", - "slot": "41", - "native_id": "robodojo/put-bottles-into-dustbin", - "title": "Put bottles into dustbin", - "catalog_instruction": "Put all four bottles into the dustbin, using a handover when needed. Let every bottle settle down inside the bin, release all bottles, and return both arms to their starting poses.", - "native_instruction": "Pick up the bottles and throw them into the dustbin, using handover when needed.", - "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "slot": "20", + "native_id": "robodojo/general-pickup", + "title": "General pickup", + "catalog_instruction": "Complete the episode's pickup instruction (read the scene)", + "native_instruction": "Pick up the mint green scissors by 10 cm.", + "instruction_source": "runtime native task.instruction", "status": "completed", - "episode_id": "task04-41-seed0-formal", + "episode_id": "task04-20-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -3162,117 +3263,102 @@ "max_control_steps": 7500, "timeout_s": 28800, "mode": "stepped", - "instruction_policy": "modified" + "instruction_policy": "original_native" }, - "instruction_revision": { - "native_instruction": "Pick up the bottles and throw them into the dustbin, using handover when needed.", - "instruction": "Put all four bottles into the dustbin, using a handover when needed. Let every bottle settle down inside the bin, release all bottles, and return both arms to their starting poses.", - "native_instruction_kind": "episode", - "diff": [ - { - "op": "replace", - "original": "Pick", - "modified": "Put" - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "up", - "modified": "all" - }, + "display_slot": "18", + "display_key": "task04/18", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/21", + "family": "task04", + "slot": "21", + "native_id": "robodojo/hang-mugs", + "title": "Hang mugs", + "catalog_instruction": "Hang all three mugs by their handles on the raised supports of the mug rack. Seat each handle securely over a support, with the mug hanging clear of the table. Release all mugs and return both arms to their starting poses.", + "native_instruction": "Hang all the mugs on the mug rack.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-21-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Hang all the mugs on the mug rack.", + "instruction": "Hang all three mugs by their handles on the raised supports of the mug rack. Seat each handle securely over a support, with the mug hanging clear of the table. Release all mugs and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ { "op": "equal", - "original": " ", - "modified": " " + "original": "Hang all ", + "modified": "Hang all " }, { "op": "replace", "original": "the", - "modified": "four" + "modified": "three" }, { "op": "equal", - "original": " bottles", - "modified": " bottles" + "original": " mugs ", + "modified": " mugs " }, { - "op": "delete", - "original": " and throw them", - "modified": "" + "op": "insert", + "original": "", + "modified": "by their handles " }, { "op": "equal", - "original": " into the dustbin, using ", - "modified": " into the dustbin, using " + "original": "on", + "modified": "on" }, { "op": "insert", "original": "", - "modified": "a " + "modified": " the raised supports of" }, { "op": "equal", - "original": "handover when needed.", - "modified": "handover when needed." + "original": " the mug rack.", + "modified": " the mug rack." }, { "op": "insert", "original": "", - "modified": " Let every bottle settle down inside the bin, release all bottles, and return both arms to their starting poses." + "modified": " Seat each handle securely over a support, with the mug hanging clear of the table. Release all mugs and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/41-robodojo-put-bottles-into-dustbin/task.yaml" - }, - "display_slot": "34", - "display_key": "task04/34", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/42", - "family": "task04", - "slot": "42", - "native_id": "robodojo/solve-equation", - "title": "Solve equation", - "catalog_instruction": "Complete the benchmark task: solve equation.", - "native_instruction": "Complete the equation by selecting the correct missing number or operator and placing it on the pad, then reset the robot arm.", - "instruction_source": "runtime native task.instruction", - "status": "completed", - "episode_id": "task04-42-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "original_native" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/21-robodojo-hang-mugs/task.yaml" }, - "display_slot": "35", - "display_key": "task04/35", + "display_slot": "19", + "display_key": "task04/19", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/43", + "key": "task04/23", "family": "task04", - "slot": "43", - "native_id": "robodojo/sort-nesting-dolls-by-size", - "title": "Sort nesting dolls by size", - "catalog_instruction": "Arrange all five nesting dolls upright in a straight row from left to right, from smallest to largest. Keep their centers aligned front to back and leave the dolls clearly separated. Release them and return both arms to their starting poses.", - "native_instruction": "Arrange the five nesting dolls in a row from left to right, from smallest to largest.", + "slot": "23", + "native_id": "robodojo/imitate-sorting-sequence", + "title": "Imitate sorting sequence", + "catalog_instruction": "Keep both arms at their starting poses while the other robot demonstrates the five-object placement sequence. After it finishes, place your corresponding objects one at a time into the empty basket in the same order. Keep every previously placed object inside, and leave the demonstration objects in the other basket. Return both arms to their starting poses when finished.", + "native_instruction": "Observe the object placement order, remember it, then place the corresponding objects into the basket in the same order.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-43-seed0-formal", + "episode_id": "task04-23-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -3283,73 +3369,128 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Arrange the five nesting dolls in a row from left to right, from smallest to largest.", - "instruction": "Arrange all five nesting dolls upright in a straight row from left to right, from smallest to largest. Keep their centers aligned front to back and leave the dolls clearly separated. Release them and return both arms to their starting poses.", + "native_instruction": "Observe the object placement order, remember it, then place the corresponding objects into the basket in the same order.", + "instruction": "Keep both arms at their starting poses while the other robot demonstrates the five-object placement sequence. After it finishes, place your corresponding objects one at a time into the empty basket in the same order. Keep every previously placed object inside, and leave the demonstration objects in the other basket. Return both arms to their starting poses when finished.", "native_instruction_kind": "episode", "diff": [ + { + "op": "replace", + "original": "Observe", + "modified": "Keep both arms at their starting poses while" + }, { "op": "equal", - "original": "Arrange ", - "modified": "Arrange " + "original": " the ", + "modified": " the " + }, + { + "op": "replace", + "original": "object", + "modified": "other robot demonstrates the five-object" + }, + { + "op": "equal", + "original": " placement ", + "modified": " placement " + }, + { + "op": "replace", + "original": "order,", + "modified": "sequence." + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "remember", + "modified": "After" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "it,", + "modified": "it" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "then", + "modified": "finishes," + }, + { + "op": "equal", + "original": " place ", + "modified": " place " }, { "op": "replace", "original": "the", - "modified": "all" + "modified": "your" }, { "op": "equal", - "original": " five nesting dolls ", - "modified": " five nesting dolls " + "original": " corresponding objects ", + "modified": " corresponding objects " }, { "op": "insert", "original": "", - "modified": "upright " + "modified": "one at a time " }, { "op": "equal", - "original": "in a", - "modified": "in a" + "original": "into the", + "modified": "into the" }, { "op": "insert", "original": "", - "modified": " straight" + "modified": " empty" }, { "op": "equal", - "original": " row from left to right, from smallest to largest.", - "modified": " row from left to right, from smallest to largest." + "original": " basket in the same order.", + "modified": " basket in the same order." }, { "op": "insert", "original": "", - "modified": " Keep their centers aligned front to back and leave the dolls clearly separated. Release them and return both arms to their starting poses." + "modified": " Keep every previously placed object inside, and leave the demonstration objects in the other basket. Return both arms to their starting poses when finished." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/43-robodojo-sort-nesting-dolls-by-size/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/23-robodojo-imitate-sorting-sequence/task.yaml" }, - "display_slot": "36", - "display_key": "task04/36", + "display_slot": "20", + "display_key": "task04/20", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/45", + "key": "task04/24", "family": "task04", - "slot": "45", - "native_id": "robodojo/stack-blocks", - "title": "Stack blocks", - "catalog_instruction": "Stack all three differently textured blocks in a single vertical tower, in any order. Center each block over the one below, release the completed stack, and return both arms to their starting poses.", - "native_instruction": "Stack the three blocks with different textures.", + "slot": "24", + "native_id": "robodojo/insert-key", + "title": "Insert key", + "catalog_instruction": "Pick up the key, hand it over to the other hand, and insert its blade fully into the keyhole with the handle above it. Keeping the key upright and seated, turn it clockwise by about 60 degrees from the keyhole's insertion orientation, as viewed from above.", + "native_instruction": "Pick up the key, hand it over to the other hand, insert it into the keyhole, then turn it.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-45-seed0-formal", + "episode_id": "task04-24-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -3360,39 +3501,39 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Stack the three blocks with different textures.", - "instruction": "Stack all three differently textured blocks in a single vertical tower, in any order. Center each block over the one below, release the completed stack, and return both arms to their starting poses.", + "native_instruction": "Pick up the key, hand it over to the other hand, insert it into the keyhole, then turn it.", + "instruction": "Pick up the key, hand it over to the other hand, and insert its blade fully into the keyhole with the handle above it. Keeping the key upright and seated, turn it clockwise by about 60 degrees from the keyhole's insertion orientation, as viewed from above.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Stack", - "modified": "Stack" + "original": "Pick up the key, hand it over to the other hand, ", + "modified": "Pick up the key, hand it over to the other hand, " }, { "op": "insert", "original": "", - "modified": " all three differently textured blocks in a single vertical tower, in any order. Center each block over" + "modified": "and " }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": "insert ", + "modified": "insert " }, { "op": "replace", - "original": "three", - "modified": "one" + "original": "it", + "modified": "its blade fully" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " into the ", + "modified": " into the " }, { "op": "replace", - "original": "blocks", - "modified": "below," + "original": "keyhole,", + "modified": "keyhole" }, { "op": "equal", @@ -3401,78 +3542,42 @@ }, { "op": "replace", - "original": "with", - "modified": "release" + "original": "then", + "modified": "with the handle above it. Keeping the key upright and seated," }, { "op": "equal", - "original": " ", - "modified": " " + "original": " turn ", + "modified": " turn " }, { "op": "replace", - "original": "different", - "modified": "the" - }, - { - "op": "equal", - "original": " ", - "modified": " " - }, - { - "op": "replace", - "original": "textures.", - "modified": "completed stack, and return both arms to their starting poses." + "original": "it.", + "modified": "it clockwise by about 60 degrees from the keyhole's insertion orientation, as viewed from above." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/45-robodojo-stack-blocks/task.yaml" - }, - "display_slot": "37", - "display_key": "task04/37", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/46", - "family": "task04", - "slot": "46", - "native_id": "robodojo/stack-blocks-by-language", - "title": "Stack blocks by language", - "catalog_instruction": "Complete the benchmark task: stack blocks by language.", - "native_instruction": "stack the blocks from bottom to top in the order of blue, yellow, and orange, then reset the robot arm.", - "instruction_source": "runtime native task.instruction", - "status": "completed", - "episode_id": "task04-46-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "original_native" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/24-robodojo-insert-key/task.yaml" }, - "display_slot": "38", - "display_key": "task04/38", + "display_slot": "21", + "display_key": "task04/21", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/48", + "key": "task04/25", "family": "task04", - "slot": "48", - "native_id": "robodojo/stack-bowls", - "title": "Stack bowls", - "catalog_instruction": "Stack the three bowls into one centered, nested stack with every opening facing up. Keep the bottom bowl level on the table and settle the other two evenly inside it. Release the bowls and return both arms to their starting poses.", - "native_instruction": "Stack the three bowls together.", + "slot": "25", + "native_id": "robodojo/make-kong", + "title": "Make kong", + "catalog_instruction": "Wait with both arms at their starting poses until the opponent finishes discarding. Declare a kong by laying your three matching tiles face up, leaving the rest of your hand upright. Draw the top replacement tile from the nearer stack on your left, keeping it face down and parallel to your row, then stand it in the vacant place at the right end of your hand and release it.", + "native_instruction": "Wait for the opponent to discard a tile, then declare a kong with the matching tiles.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-48-seed0-formal", + "episode_id": "task04-25-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -3483,71 +3588,39 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Stack the three bowls together.", - "instruction": "Stack the three bowls into one centered, nested stack with every opening facing up. Keep the bottom bowl level on the table and settle the other two evenly inside it. Release the bowls and return both arms to their starting poses.", + "native_instruction": "Wait for the opponent to discard a tile, then declare a kong with the matching tiles.", + "instruction": "Wait with both arms at their starting poses until the opponent finishes discarding. Declare a kong by laying your three matching tiles face up, leaving the rest of your hand upright. Draw the top replacement tile from the nearer stack on your left, keeping it face down and parallel to your row, then stand it in the vacant place at the right end of your hand and release it.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Stack the three bowls ", - "modified": "Stack the three bowls " + "original": "Wait ", + "modified": "Wait " }, { "op": "replace", - "original": "together.", - "modified": "into one centered, nested stack with every opening facing up. Keep the bottom bowl level on the table and settle the other two evenly inside it. Release the bowls and return both arms to their starting poses." - } - ], - "changed": true, - "preserve_whitespace": true, - "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/48-robodojo-stack-bowls/task.yaml" - }, - "display_slot": "39", - "display_key": "task04/39", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [] - }, - { - "key": "task04/51", - "family": "task04", - "slot": "51", - "native_id": "robodojo/swap-t", - "title": "Swap t", - "catalog_instruction": "Swap the two T-shaped blocks. Put each block at the other block's original position, matching the orientation that the other block had there. Place both flat on the table, release them, and return both arms to their starting poses.", - "native_instruction": "Pick up the two T-shaped blocks, swap their positions, and place them back with the correct orientations.", - "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", - "status": "completed", - "episode_id": "task04-51-seed0-formal", - "planned_protocol": { - "episodes": 1, - "seed": 0, - "control_frequency_hz": 25, - "max_control_steps": 7500, - "timeout_s": 28800, - "mode": "stepped", - "instruction_policy": "modified" - }, - "instruction_revision": { - "native_instruction": "Pick up the two T-shaped blocks, swap their positions, and place them back with the correct orientations.", - "instruction": "Swap the two T-shaped blocks. Put each block at the other block's original position, matching the orientation that the other block had there. Place both flat on the table, release them, and return both arms to their starting poses.", - "native_instruction_kind": "episode", - "diff": [ + "original": "for", + "modified": "with both arms at their starting poses until" + }, + { + "op": "equal", + "original": " the opponent ", + "modified": " the opponent " + }, { "op": "replace", - "original": "Pick up", - "modified": "Swap" + "original": "to", + "modified": "finishes" }, { "op": "equal", - "original": " the two T-shaped ", - "modified": " the two T-shaped " + "original": " ", + "modified": " " }, { "op": "replace", - "original": "blocks,", - "modified": "blocks." + "original": "discard", + "modified": "discarding." }, { "op": "equal", @@ -3556,18 +3629,18 @@ }, { "op": "replace", - "original": "swap", - "modified": "Put each block at the other block's original position, matching the orientation that the other block had there. Place both flat on the table, release them, and return both arms to" + "original": "a tile, then declare", + "modified": "Declare" }, { "op": "equal", - "original": " their ", - "modified": " their " + "original": " a kong ", + "modified": " a kong " }, { "op": "replace", - "original": "positions,", - "modified": "starting" + "original": "with", + "modified": "by" }, { "op": "equal", @@ -3576,32 +3649,81 @@ }, { "op": "replace", - "original": "and place them back with the correct orientations.", - "modified": "poses." + "original": "the", + "modified": "laying your three" + }, + { + "op": "equal", + "original": " matching tiles", + "modified": " matching tiles" + }, + { + "op": "insert", + "original": "", + "modified": " face up, leaving the rest of your hand upright" + }, + { + "op": "equal", + "original": ".", + "modified": "." + }, + { + "op": "insert", + "original": "", + "modified": " Draw the top replacement tile from the nearer stack on your left, keeping it face down and parallel to your row, then stand it in the vacant place at the right end of your hand and release it." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/51-robodojo-swap-t/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/25-robodojo-make-kong/task.yaml", + "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "native_predicates_unchanged": true, + "review_reason": "State the turn and replacement-tile rules in one paragraph without a manipulation plan." }, - "display_slot": "40", - "display_key": "task04/40", + "display_slot": "22", + "display_key": "task04/22", "run_status": "finished", "status_note": "Queued for evaluation.", "attempt_history": [] }, { - "key": "task04/52", + "key": "task04/27", "family": "task04", - "slot": "52", - "native_id": "robodojo/swap-blocks", - "title": "Swap blocks", - "catalog_instruction": "Swap the blocks in three moves using the empty mat as temporary space. Lift one block at a time and release it centered on its destination mat. After each placement, press the button once, withdraw the gripper completely, and wait for the button to rise fully before continuing. Finish with the blocks on each other\u2019s original mats and both arms at their starting poses.", - "native_instruction": "Swap the two blocks using the empty mat, pressing the button after each move.", + "slot": "27", + "native_id": "robodojo/match-and-pick-from-conveyor", + "title": "Match and pick from conveyor", + "catalog_instruction": "Complete the benchmark task: match and pick from conveyor.", + "native_instruction": "Remember the first object on the conveyor, then pick the matching object when it appears again.", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task04-27-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "display_slot": "23", + "display_key": "task04/23", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/28", + "family": "task04", + "slot": "28", + "native_id": "robodojo/organize-table", + "title": "Organize table", + "catalog_instruction": "Place the alarm clock upright on top of the drawer unit and stand the figurine upright at the center of its small stand. Place the mouse flat on the mouse pad in its normal working orientation, with its front pointing toward the monitor. Push the keyboard flat into the outlined frame, aligned with the frame and facing the robot. Let all four objects settle, release them, and return both arms to their starting poses.", + "native_instruction": "Place the alarm clock on the drawer, put the figurine on the stand, place the mouse on the mouse pad, and push the keyboard into the frame.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-52-seed0-formal", + "episode_id": "task04-28-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -3612,185 +3734,163 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Swap the two blocks using the empty mat, pressing the button after each move.", - "instruction": "Swap the blocks in three moves using the empty mat as temporary space. Lift one block at a time and release it centered on its destination mat. After each placement, press the button once, withdraw the gripper completely, and wait for the button to rise fully before continuing. Finish with the blocks on each other\u2019s original mats and both arms at their starting poses.", + "native_instruction": "Place the alarm clock on the drawer, put the figurine on the stand, place the mouse on the mouse pad, and push the keyboard into the frame.", + "instruction": "Place the alarm clock upright on top of the drawer unit and stand the figurine upright at the center of its small stand. Place the mouse flat on the mouse pad in its normal working orientation, with its front pointing toward the monitor. Push the keyboard flat into the outlined frame, aligned with the frame and facing the robot. Let all four objects settle, release them, and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Swap the ", - "modified": "Swap the " - }, - { - "op": "delete", - "original": "two ", - "modified": "" - }, - { - "op": "equal", - "original": "block", - "modified": "block" + "original": "Place the alarm clock ", + "modified": "Place the alarm clock " }, { "op": "insert", "original": "", - "modified": "s in three move" + "modified": "upright " }, { "op": "equal", - "original": "s using the empty mat", - "modified": "s using the empty mat" + "original": "on", + "modified": "on" }, { "op": "insert", "original": "", - "modified": " as temporary space. Lift one block at a time and release it centered on its destination mat. After each placement" + "modified": " top of" }, { "op": "equal", - "original": ", press", - "modified": ", press" + "original": " the ", + "modified": " the " }, { - "op": "delete", - "original": "ing", - "modified": "" + "op": "replace", + "original": "drawer,", + "modified": "drawer" }, { "op": "equal", - "original": " the button ", - "modified": " the button " + "original": " ", + "modified": " " }, { - "op": "insert", - "original": "", - "modified": "once, withdr" + "op": "replace", + "original": "put", + "modified": "unit and stand" }, { "op": "equal", - "original": "a", - "modified": "a" + "original": " the figurine ", + "modified": " the figurine " }, { "op": "replace", - "original": "f", - "modified": "w the gripper comple" + "original": "on", + "modified": "upright at" }, { "op": "equal", - "original": "te", - "modified": "te" + "original": " the ", + "modified": " the " }, { - "op": "insert", - "original": "", - "modified": "ly, and wait fo" + "op": "replace", + "original": "stand,", + "modified": "center" }, { "op": "equal", - "original": "r", - "modified": "r" + "original": " ", + "modified": " " }, { - "op": "insert", - "original": "", - "modified": " the button to rise fully before continuing. Finish with the blocks on" + "op": "replace", + "original": "place", + "modified": "of its small stand. Place" }, { "op": "equal", - "original": " each ", - "modified": " each " + "original": " the mouse", + "modified": " the mouse" }, { "op": "insert", "original": "", - "modified": "other\u2019s original " + "modified": " flat" }, { "op": "equal", - "original": "m", - "modified": "m" + "original": " on the mouse ", + "modified": " on the mouse " }, { - "op": "insert", - "original": "", - "modified": "ats and b" + "op": "replace", + "original": "pad,", + "modified": "pad" }, { "op": "equal", - "original": "o", - "modified": "o" + "original": " ", + "modified": " " }, { "op": "replace", - "original": "v", - "modified": "th arms at th" + "original": "and", + "modified": "in" }, { "op": "equal", - "original": "e", - "modified": "e" + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "push", + "modified": "its normal working orientation, with its front pointing toward the monitor. Push" + }, + { + "op": "equal", + "original": " the keyboard ", + "modified": " the keyboard " }, { "op": "insert", "original": "", - "modified": "ir starting poses" + "modified": "flat " }, { "op": "equal", - "original": ".", - "modified": "." + "original": "into the ", + "modified": "into the " + }, + { + "op": "replace", + "original": "frame.", + "modified": "outlined frame, aligned with the frame and facing the robot. Let all four objects settle, release them, and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/52-robodojo-swap-blocks/task.yaml", - "native_predicates_unchanged": true, - "evaluation_status": "Evaluated with this modified instruction.", - "review_reason": "Clarify the three moves and complete press, withdrawal and button rebound after each placement; native release thresholds remain unchanged." + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/28-robodojo-organize-table/task.yaml" }, - "display_slot": "41", - "display_key": "task04/41", + "display_slot": "24", + "display_key": "task04/24", "run_status": "finished", "status_note": "Queued for evaluation.", - "attempt_history": [ - { - "id": "52-robodojo-swap-blocks-codex-seed0-attempt01", - "execution": { - "reason": "process_error", - "status": "interrupted" - }, - "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/provenance.json" - } - } - ] + "attempt_history": [] }, { - "key": "task04/53", + "key": "task04/29", "family": "task04", - "slot": "53", - "native_id": "robodojo/sweep-blocks", - "title": "Sweep blocks", - "catalog_instruction": "Pick up the broom, hand it over to the right hand, and sweep all the small blocks into the dustpan. Keep the dustpan on the table, level and to the left of the broom, with every block collected inside. Leave the dustpan down and return both arms to their starting poses.", - "native_instruction": "Pick up the broom, hand it over to the right hand, then use the dustpan to sweep the blocks.", + "slot": "29", + "native_id": "robodojo/pack-objects-into-box", + "title": "Pack objects into box", + "catalog_instruction": "Place all four objects inside the bottom of the box, with their front sides facing left from the robot's viewpoint and their lengths aligned along the box. Keep the box upright with its long sides running left to right across the table. Release the objects and return both arms to their starting poses.", + "native_instruction": "Place all the objects into the box with their front sides facing left.", "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", "status": "completed", - "episode_id": "task04-53-seed0-formal", + "episode_id": "task04-29-seed0-formal", "planned_protocol": { "episodes": 1, "seed": 0, @@ -3801,93 +3901,6497 @@ "instruction_policy": "modified" }, "instruction_revision": { - "native_instruction": "Pick up the broom, hand it over to the right hand, then use the dustpan to sweep the blocks.", - "instruction": "Pick up the broom, hand it over to the right hand, and sweep all the small blocks into the dustpan. Keep the dustpan on the table, level and to the left of the broom, with every block collected inside. Leave the dustpan down and return both arms to their starting poses.", + "native_instruction": "Place all the objects into the box with their front sides facing left.", + "instruction": "Place all four objects inside the bottom of the box, with their front sides facing left from the robot's viewpoint and their lengths aligned along the box. Keep the box upright with its long sides running left to right across the table. Release the objects and return both arms to their starting poses.", "native_instruction_kind": "episode", "diff": [ { "op": "equal", - "original": "Pick up the broom, hand it over to the right hand, ", - "modified": "Pick up the broom, hand it over to the right hand, " + "original": "Place all ", + "modified": "Place all " }, { "op": "replace", - "original": "then", - "modified": "and" + "original": "the", + "modified": "four" }, { "op": "equal", - "original": " ", - "modified": " " + "original": " objects ", + "modified": " objects " }, { "op": "replace", - "original": "use", - "modified": "sweep all the small blocks into the dustpan. Keep" + "original": "into", + "modified": "inside" }, { "op": "equal", - "original": " the dustpan ", - "modified": " the dustpan " + "original": " the ", + "modified": " the " }, { "op": "replace", - "original": "to sweep", - "modified": "on" + "original": "box", + "modified": "bottom of the box," }, { "op": "equal", - "original": " the ", - "modified": " the " + "original": " with their front sides facing ", + "modified": " with their front sides facing " }, { "op": "replace", - "original": "blocks.", - "modified": "table, level and to the left of the broom, with every block collected inside. Leave the dustpan down and return both arms to their starting poses." + "original": "left.", + "modified": "left from the robot's viewpoint and their lengths aligned along the box. Keep the box upright with its long sides running left to right across the table. Release the objects and return both arms to their starting poses." } ], "changed": true, "preserve_whitespace": true, "label": "Modified instruction", - "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/53-robodojo-sweep-blocks/task.yaml" + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/29-robodojo-pack-objects-into-box/task.yaml" + }, + "display_slot": "25", + "display_key": "task04/25", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/31", + "family": "task04", + "slot": "31", + "native_id": "robodojo/pick-from-conveyor-by-image", + "title": "Pick from conveyor by image", + "catalog_instruction": "Identify the target object on the conveyor from the image on the board. Lift and hold the basket more than 8 cm above its starting height, then pick up the matching object and place it down inside the basket. Keep the basket raised, with the object resting at its bottom and more than 8 cm above its original height.", + "native_instruction": "Lift the basket more than 8 cm, identify the target object on the conveyor according to the image on the board, pick it up, and place it into the basket.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-31-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Lift the basket more than 8 cm, identify the target object on the conveyor according to the image on the board, pick it up, and place it into the basket.", + "instruction": "Identify the target object on the conveyor from the image on the board. Lift and hold the basket more than 8 cm above its starting height, then pick up the matching object and place it down inside the basket. Keep the basket raised, with the object resting at its bottom and more than 8 cm above its original height.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "replace", + "original": "Lift the basket more than 8 cm, identify", + "modified": "Identify" + }, + { + "op": "equal", + "original": " the target object on the conveyor ", + "modified": " the target object on the conveyor " + }, + { + "op": "replace", + "original": "according to", + "modified": "from" + }, + { + "op": "equal", + "original": " the image on the ", + "modified": " the image on the " + }, + { + "op": "replace", + "original": "board,", + "modified": "board. Lift and hold the basket more than 8 cm above its starting height, then" + }, + { + "op": "equal", + "original": " pick ", + "modified": " pick " + }, + { + "op": "replace", + "original": "it", + "modified": "up" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "up,", + "modified": "the matching object" + }, + { + "op": "equal", + "original": " and place it ", + "modified": " and place it " + }, + { + "op": "replace", + "original": "into", + "modified": "down inside" + }, + { + "op": "equal", + "original": " the basket.", + "modified": " the basket." + }, + { + "op": "insert", + "original": "", + "modified": " Keep the basket raised, with the object resting at its bottom and more than 8 cm above its original height." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/31-robodojo-pick-from-conveyor-by-image/task.yaml" + }, + "display_slot": "26", + "display_key": "task04/26", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/32", + "family": "task04", + "slot": "32", + "native_id": "robodojo/play-tic-tac-toe", + "title": "Play tic tac toe", + "catalog_instruction": "Take the first turn and alternate with the opponent until the tic-tac-toe board is full, placing one ring flat in an empty cell on each turn. After each move, release the piece and return both arms to their starting poses, waiting there until the opponent finishes its move.", + "native_instruction": "Play tic-tac-toe as the first player and fill the board with the opponent.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-32-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Play tic-tac-toe as the first player and fill the board with the opponent.", + "instruction": "Take the first turn and alternate with the opponent until the tic-tac-toe board is full, placing one ring flat in an empty cell on each turn. After each move, release the piece and return both arms to their starting poses, waiting there until the opponent finishes its move.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "replace", + "original": "Play", + "modified": "Take the first turn and alternate with the opponent until the" + }, + { + "op": "equal", + "original": " tic-tac-toe ", + "modified": " tic-tac-toe " + }, + { + "op": "replace", + "original": "as", + "modified": "board is full, placing one ring flat in an empty cell on each turn. After each move, release" + }, + { + "op": "equal", + "original": " the ", + "modified": " the " + }, + { + "op": "replace", + "original": "first player", + "modified": "piece" + }, + { + "op": "equal", + "original": " and ", + "modified": " and " + }, + { + "op": "replace", + "original": "fill", + "modified": "return" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "the", + "modified": "both" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "board", + "modified": "arms" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "with", + "modified": "to their starting poses, waiting there until" + }, + { + "op": "equal", + "original": " the opponent", + "modified": " the opponent" + }, + { + "op": "insert", + "original": "", + "modified": " finishes its move" + }, + { + "op": "equal", + "original": ".", + "modified": "." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/32-robodojo-play-tic-tac-toe/task.yaml", + "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "native_predicates_unchanged": true, + "review_reason": "State alternating turns and waiting rules without supplying the inferred ring counts." + }, + "display_slot": "27", + "display_key": "task04/27", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/33", + "family": "task04", + "slot": "33", + "native_id": "robodojo/plug-in-charger", + "title": "Plug in charger", + "catalog_instruction": "Plug the charger fully into a socket on the power strip, then release it and return both arms to their starting poses.", + "native_instruction": "Plug the charger into the power strip.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-33-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Plug the charger into the power strip.", + "instruction": "Plug the charger fully into a socket on the power strip, then release it and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "equal", + "original": "Plug the charger ", + "modified": "Plug the charger " + }, + { + "op": "insert", + "original": "", + "modified": "fully " + }, + { + "op": "equal", + "original": "into", + "modified": "into" + }, + { + "op": "insert", + "original": "", + "modified": " a socket on" + }, + { + "op": "equal", + "original": " the power strip", + "modified": " the power strip" + }, + { + "op": "insert", + "original": "", + "modified": ", then release it and return both arms to their starting poses" + }, + { + "op": "equal", + "original": ".", + "modified": "." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/33-robodojo-plug-in-charger/task.yaml", + "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "native_predicates_unchanged": true, + "review_reason": "Describe a fully plugged-in charger without the verifier insertion-depth threshold." + }, + "display_slot": "28", + "display_key": "task04/28", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/34", + "family": "task04", + "slot": "34", + "native_id": "robodojo/pour-balls-into-vase", + "title": "Pour balls into vase", + "catalog_instruction": "Pour all seven balls from the cup into the vase. Leave every ball inside the vase, put the empty cup down upright, and return both arms to their starting poses.", + "native_instruction": "Pour all the balls from the cup into the vase.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-34-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Pour all the balls from the cup into the vase.", + "instruction": "Pour all seven balls from the cup into the vase. Leave every ball inside the vase, put the empty cup down upright, and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "equal", + "original": "Pour all ", + "modified": "Pour all " + }, + { + "op": "replace", + "original": "the", + "modified": "seven" + }, + { + "op": "equal", + "original": " balls from the cup into the vase.", + "modified": " balls from the cup into the vase." + }, + { + "op": "insert", + "original": "", + "modified": " Leave every ball inside the vase, put the empty cup down upright, and return both arms to their starting poses." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/34-robodojo-pour-balls-into-vase/task.yaml" + }, + "display_slot": "29", + "display_key": "task04/29", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/35", + "family": "task04", + "slot": "35", + "native_id": "robodojo/pour-by-language", + "title": "Pour by language", + "catalog_instruction": "Complete the benchmark task: pour by language.", + "native_instruction": "Pour the liquid from the first violet bottle into the first black bowl, from the second red bottle into the second white bowl, and from the third turquoise bottle into the third brown bowl. Then reset the robot arm.", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task04-35-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "display_slot": "30", + "display_key": "task04/30", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/36", + "family": "task04", + "slot": "36", + "native_id": "robodojo/pour-liquid-into-cup", + "title": "Pour liquid into cup", + "catalog_instruction": "Pour nearly all the liquid into the cup with almost no spillage. Keep the bottle tilted over the cup until the flow stops and the liquid settles, then return it upright, leaving only a small residue inside.", + "native_instruction": "Pour the liquid from the bottle into the cup.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-36-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Pour the liquid from the bottle into the cup.", + "instruction": "Pour nearly all the liquid into the cup with almost no spillage. Keep the bottle tilted over the cup until the flow stops and the liquid settles, then return it upright, leaving only a small residue inside.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "equal", + "original": "Pour", + "modified": "Pour" + }, + { + "op": "insert", + "original": "", + "modified": " nearly all" + }, + { + "op": "equal", + "original": " the liquid", + "modified": " the liquid" + }, + { + "op": "delete", + "original": " from the bottle", + "modified": "" + }, + { + "op": "equal", + "original": " into the cup", + "modified": " into the cup" + }, + { + "op": "insert", + "original": "", + "modified": " with almost no spillage" + }, + { + "op": "equal", + "original": ".", + "modified": "." + }, + { + "op": "insert", + "original": "", + "modified": " Keep the bottle tilted over the cup until the flow stops and the liquid settles, then return it upright, leaving only a small residue inside." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/36-robodojo-pour-liquid-into-cup/task.yaml", + "native_predicates_unchanged": true, + "evaluation_status": "Evaluated with this modified instruction.", + "review_reason": "Wait for flow to stop and liquid to settle while tilted before returning the bottle upright." + }, + "display_slot": "31", + "display_key": "task04/31", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/38", + "family": "task04", + "slot": "38", + "native_id": "robodojo/press-by-number", + "title": "Press by number", + "catalog_instruction": "Starting with the left red button, press and release each red button the number of times shown on its card, confirming that button's count with a press and release of the blue button before moving to the next. Return both arms to their starting poses when finished.", + "native_instruction": "Press the two red buttons the required number of times according to the number cards, then press the blue button to confirm.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-38-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Press the two red buttons the required number of times according to the number cards, then press the blue button to confirm.", + "instruction": "Starting with the left red button, press and release each red button the number of times shown on its card, confirming that button's count with a press and release of the blue button before moving to the next. Return both arms to their starting poses when finished.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "replace", + "original": "Press", + "modified": "Starting with" + }, + { + "op": "equal", + "original": " the ", + "modified": " the " + }, + { + "op": "replace", + "original": "two", + "modified": "left" + }, + { + "op": "equal", + "original": " red ", + "modified": " red " + }, + { + "op": "replace", + "original": "buttons", + "modified": "button, press and release each red button" + }, + { + "op": "equal", + "original": " the", + "modified": " the" + }, + { + "op": "delete", + "original": " required", + "modified": "" + }, + { + "op": "equal", + "original": " number of times ", + "modified": " number of times " + }, + { + "op": "replace", + "original": "according", + "modified": "shown" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "to", + "modified": "on" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "the", + "modified": "its" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "number cards", + "modified": "card" + }, + { + "op": "equal", + "original": ", ", + "modified": ", " + }, + { + "op": "replace", + "original": "then", + "modified": "confirming that button's count with a" + }, + { + "op": "equal", + "original": " press", + "modified": " press" + }, + { + "op": "insert", + "original": "", + "modified": " and release of" + }, + { + "op": "equal", + "original": " the blue button ", + "modified": " the blue button " + }, + { + "op": "insert", + "original": "", + "modified": "before moving " + }, + { + "op": "equal", + "original": "to ", + "modified": "to " + }, + { + "op": "replace", + "original": "confirm", + "modified": "the next" + }, + { + "op": "equal", + "original": ".", + "modified": "." + }, + { + "op": "insert", + "original": "", + "modified": " Return both arms to their starting poses when finished." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/38-robodojo-press-by-number/task.yaml", + "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "native_predicates_unchanged": true, + "review_reason": "Retain the per-button counting and confirmation rules without button-joint thresholds or card answers." + }, + "display_slot": "32", + "display_key": "task04/32", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/39", + "family": "task04", + "slot": "39", + "native_id": "robodojo/push-t", + "title": "Push t", + "catalog_instruction": "Slide the T-shaped block along the table until it neatly matches the gray T-shaped pad in position and orientation. Keep the block on the table and return both arms to their starting poses when finished.", + "native_instruction": "Push the T-shaped block to align it precisely with the gray T-shaped pad.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-39-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Push the T-shaped block to align it precisely with the gray T-shaped pad.", + "instruction": "Slide the T-shaped block along the table until it neatly matches the gray T-shaped pad in position and orientation. Keep the block on the table and return both arms to their starting poses when finished.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "replace", + "original": "Push", + "modified": "Slide" + }, + { + "op": "equal", + "original": " the T-shaped block ", + "modified": " the T-shaped block " + }, + { + "op": "replace", + "original": "to", + "modified": "along" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "align", + "modified": "the table until" + }, + { + "op": "equal", + "original": " it ", + "modified": " it " + }, + { + "op": "replace", + "original": "precisely", + "modified": "neatly" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "with", + "modified": "matches" + }, + { + "op": "equal", + "original": " the gray T-shaped pad", + "modified": " the gray T-shaped pad" + }, + { + "op": "insert", + "original": "", + "modified": " in position and orientation" + }, + { + "op": "equal", + "original": ".", + "modified": "." + }, + { + "op": "insert", + "original": "", + "modified": " Keep the block on the table and return both arms to their starting poses when finished." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/39-robodojo-push-t/task.yaml", + "evaluation_status": "Not yet evaluated with this revised instruction. The published result used the earlier instruction.", + "native_predicates_unchanged": true, + "review_reason": "Describe matching the target shape along the table without internal position and angle tolerances." + }, + "display_slot": "33", + "display_key": "task04/33", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/41", + "family": "task04", + "slot": "41", + "native_id": "robodojo/put-bottles-into-dustbin", + "title": "Put bottles into dustbin", + "catalog_instruction": "Put all four bottles into the dustbin, using a handover when needed. Let every bottle settle down inside the bin, release all bottles, and return both arms to their starting poses.", + "native_instruction": "Pick up the bottles and throw them into the dustbin, using handover when needed.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-41-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Pick up the bottles and throw them into the dustbin, using handover when needed.", + "instruction": "Put all four bottles into the dustbin, using a handover when needed. Let every bottle settle down inside the bin, release all bottles, and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "replace", + "original": "Pick", + "modified": "Put" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "up", + "modified": "all" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "the", + "modified": "four" + }, + { + "op": "equal", + "original": " bottles", + "modified": " bottles" + }, + { + "op": "delete", + "original": " and throw them", + "modified": "" + }, + { + "op": "equal", + "original": " into the dustbin, using ", + "modified": " into the dustbin, using " + }, + { + "op": "insert", + "original": "", + "modified": "a " + }, + { + "op": "equal", + "original": "handover when needed.", + "modified": "handover when needed." + }, + { + "op": "insert", + "original": "", + "modified": " Let every bottle settle down inside the bin, release all bottles, and return both arms to their starting poses." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/41-robodojo-put-bottles-into-dustbin/task.yaml" + }, + "display_slot": "34", + "display_key": "task04/34", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/42", + "family": "task04", + "slot": "42", + "native_id": "robodojo/solve-equation", + "title": "Solve equation", + "catalog_instruction": "Complete the benchmark task: solve equation.", + "native_instruction": "Complete the equation by selecting the correct missing number or operator and placing it on the pad, then reset the robot arm.", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task04-42-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "display_slot": "35", + "display_key": "task04/35", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/43", + "family": "task04", + "slot": "43", + "native_id": "robodojo/sort-nesting-dolls-by-size", + "title": "Sort nesting dolls by size", + "catalog_instruction": "Arrange all five nesting dolls upright in a straight row from left to right, from smallest to largest. Keep their centers aligned front to back and leave the dolls clearly separated. Release them and return both arms to their starting poses.", + "native_instruction": "Arrange the five nesting dolls in a row from left to right, from smallest to largest.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-43-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Arrange the five nesting dolls in a row from left to right, from smallest to largest.", + "instruction": "Arrange all five nesting dolls upright in a straight row from left to right, from smallest to largest. Keep their centers aligned front to back and leave the dolls clearly separated. Release them and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "equal", + "original": "Arrange ", + "modified": "Arrange " + }, + { + "op": "replace", + "original": "the", + "modified": "all" + }, + { + "op": "equal", + "original": " five nesting dolls ", + "modified": " five nesting dolls " + }, + { + "op": "insert", + "original": "", + "modified": "upright " + }, + { + "op": "equal", + "original": "in a", + "modified": "in a" + }, + { + "op": "insert", + "original": "", + "modified": " straight" + }, + { + "op": "equal", + "original": " row from left to right, from smallest to largest.", + "modified": " row from left to right, from smallest to largest." + }, + { + "op": "insert", + "original": "", + "modified": " Keep their centers aligned front to back and leave the dolls clearly separated. Release them and return both arms to their starting poses." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/43-robodojo-sort-nesting-dolls-by-size/task.yaml" + }, + "display_slot": "36", + "display_key": "task04/36", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/45", + "family": "task04", + "slot": "45", + "native_id": "robodojo/stack-blocks", + "title": "Stack blocks", + "catalog_instruction": "Stack all three differently textured blocks in a single vertical tower, in any order. Center each block over the one below, release the completed stack, and return both arms to their starting poses.", + "native_instruction": "Stack the three blocks with different textures.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-45-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Stack the three blocks with different textures.", + "instruction": "Stack all three differently textured blocks in a single vertical tower, in any order. Center each block over the one below, release the completed stack, and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "equal", + "original": "Stack", + "modified": "Stack" + }, + { + "op": "insert", + "original": "", + "modified": " all three differently textured blocks in a single vertical tower, in any order. Center each block over" + }, + { + "op": "equal", + "original": " the ", + "modified": " the " + }, + { + "op": "replace", + "original": "three", + "modified": "one" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "blocks", + "modified": "below," + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "with", + "modified": "release" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "different", + "modified": "the" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "textures.", + "modified": "completed stack, and return both arms to their starting poses." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/45-robodojo-stack-blocks/task.yaml" + }, + "display_slot": "37", + "display_key": "task04/37", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/46", + "family": "task04", + "slot": "46", + "native_id": "robodojo/stack-blocks-by-language", + "title": "Stack blocks by language", + "catalog_instruction": "Complete the benchmark task: stack blocks by language.", + "native_instruction": "stack the blocks from bottom to top in the order of blue, yellow, and orange, then reset the robot arm.", + "instruction_source": "runtime native task.instruction", + "status": "completed", + "episode_id": "task04-46-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "original_native" + }, + "display_slot": "38", + "display_key": "task04/38", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/48", + "family": "task04", + "slot": "48", + "native_id": "robodojo/stack-bowls", + "title": "Stack bowls", + "catalog_instruction": "Stack the three bowls into one centered, nested stack with every opening facing up. Keep the bottom bowl level on the table and settle the other two evenly inside it. Release the bowls and return both arms to their starting poses.", + "native_instruction": "Stack the three bowls together.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-48-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Stack the three bowls together.", + "instruction": "Stack the three bowls into one centered, nested stack with every opening facing up. Keep the bottom bowl level on the table and settle the other two evenly inside it. Release the bowls and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "equal", + "original": "Stack the three bowls ", + "modified": "Stack the three bowls " + }, + { + "op": "replace", + "original": "together.", + "modified": "into one centered, nested stack with every opening facing up. Keep the bottom bowl level on the table and settle the other two evenly inside it. Release the bowls and return both arms to their starting poses." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/48-robodojo-stack-bowls/task.yaml" + }, + "display_slot": "39", + "display_key": "task04/39", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/51", + "family": "task04", + "slot": "51", + "native_id": "robodojo/swap-t", + "title": "Swap t", + "catalog_instruction": "Swap the two T-shaped blocks. Put each block at the other block's original position, matching the orientation that the other block had there. Place both flat on the table, release them, and return both arms to their starting poses.", + "native_instruction": "Pick up the two T-shaped blocks, swap their positions, and place them back with the correct orientations.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-51-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Pick up the two T-shaped blocks, swap their positions, and place them back with the correct orientations.", + "instruction": "Swap the two T-shaped blocks. Put each block at the other block's original position, matching the orientation that the other block had there. Place both flat on the table, release them, and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "replace", + "original": "Pick up", + "modified": "Swap" + }, + { + "op": "equal", + "original": " the two T-shaped ", + "modified": " the two T-shaped " + }, + { + "op": "replace", + "original": "blocks,", + "modified": "blocks." + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "swap", + "modified": "Put each block at the other block's original position, matching the orientation that the other block had there. Place both flat on the table, release them, and return both arms to" + }, + { + "op": "equal", + "original": " their ", + "modified": " their " + }, + { + "op": "replace", + "original": "positions,", + "modified": "starting" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "and place them back with the correct orientations.", + "modified": "poses." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/51-robodojo-swap-t/task.yaml" + }, + "display_slot": "40", + "display_key": "task04/40", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [] + }, + { + "key": "task04/52", + "family": "task04", + "slot": "52", + "native_id": "robodojo/swap-blocks", + "title": "Swap blocks", + "catalog_instruction": "Swap the blocks in three moves using the empty mat as temporary space. Lift one block at a time and release it centered on its destination mat. After each placement, press the button once, withdraw the gripper completely, and wait for the button to rise fully before continuing. Finish with the blocks on each other\u2019s original mats and both arms at their starting poses.", + "native_instruction": "Swap the two blocks using the empty mat, pressing the button after each move.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-52-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Swap the two blocks using the empty mat, pressing the button after each move.", + "instruction": "Swap the blocks in three moves using the empty mat as temporary space. Lift one block at a time and release it centered on its destination mat. After each placement, press the button once, withdraw the gripper completely, and wait for the button to rise fully before continuing. Finish with the blocks on each other\u2019s original mats and both arms at their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "equal", + "original": "Swap the ", + "modified": "Swap the " + }, + { + "op": "delete", + "original": "two ", + "modified": "" + }, + { + "op": "equal", + "original": "block", + "modified": "block" + }, + { + "op": "insert", + "original": "", + "modified": "s in three move" + }, + { + "op": "equal", + "original": "s using the empty mat", + "modified": "s using the empty mat" + }, + { + "op": "insert", + "original": "", + "modified": " as temporary space. Lift one block at a time and release it centered on its destination mat. After each placement" + }, + { + "op": "equal", + "original": ", press", + "modified": ", press" + }, + { + "op": "delete", + "original": "ing", + "modified": "" + }, + { + "op": "equal", + "original": " the button ", + "modified": " the button " + }, + { + "op": "insert", + "original": "", + "modified": "once, withdr" + }, + { + "op": "equal", + "original": "a", + "modified": "a" + }, + { + "op": "replace", + "original": "f", + "modified": "w the gripper comple" + }, + { + "op": "equal", + "original": "te", + "modified": "te" + }, + { + "op": "insert", + "original": "", + "modified": "ly, and wait fo" + }, + { + "op": "equal", + "original": "r", + "modified": "r" + }, + { + "op": "insert", + "original": "", + "modified": " the button to rise fully before continuing. Finish with the blocks on" + }, + { + "op": "equal", + "original": " each ", + "modified": " each " + }, + { + "op": "insert", + "original": "", + "modified": "other\u2019s original " + }, + { + "op": "equal", + "original": "m", + "modified": "m" + }, + { + "op": "insert", + "original": "", + "modified": "ats and b" + }, + { + "op": "equal", + "original": "o", + "modified": "o" + }, + { + "op": "replace", + "original": "v", + "modified": "th arms at th" + }, + { + "op": "equal", + "original": "e", + "modified": "e" + }, + { + "op": "insert", + "original": "", + "modified": "ir starting poses" + }, + { + "op": "equal", + "original": ".", + "modified": "." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/52-robodojo-swap-blocks/task.yaml", + "native_predicates_unchanged": true, + "evaluation_status": "Evaluated with this modified instruction.", + "review_reason": "Clarify the three moves and complete press, withdrawal and button rebound after each placement; native release thresholds remain unchanged." + }, + "display_slot": "41", + "display_key": "task04/41", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [ + { + "id": "52-robodojo-swap-blocks-codex-seed0-attempt01", + "execution": { + "reason": "process_error", + "status": "interrupted" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/52/52-robodojo-swap-blocks-codex-seed0-attempt01/provenance.json" + } + } + ] + }, + { + "key": "task04/53", + "family": "task04", + "slot": "53", + "native_id": "robodojo/sweep-blocks", + "title": "Sweep blocks", + "catalog_instruction": "Pick up the broom, hand it over to the right hand, and sweep all the small blocks into the dustpan. Keep the dustpan on the table, level and to the left of the broom, with every block collected inside. Leave the dustpan down and return both arms to their starting poses.", + "native_instruction": "Pick up the broom, hand it over to the right hand, then use the dustpan to sweep the blocks.", + "instruction_source": "Current reviewed benchmark instruction; each recording retains its measured instruction.", + "status": "completed", + "episode_id": "task04-53-seed0-formal", + "planned_protocol": { + "episodes": 1, + "seed": 0, + "control_frequency_hz": 25, + "max_control_steps": 7500, + "timeout_s": 28800, + "mode": "stepped", + "instruction_policy": "modified" + }, + "instruction_revision": { + "native_instruction": "Pick up the broom, hand it over to the right hand, then use the dustpan to sweep the blocks.", + "instruction": "Pick up the broom, hand it over to the right hand, and sweep all the small blocks into the dustpan. Keep the dustpan on the table, level and to the left of the broom, with every block collected inside. Leave the dustpan down and return both arms to their starting poses.", + "native_instruction_kind": "episode", + "diff": [ + { + "op": "equal", + "original": "Pick up the broom, hand it over to the right hand, ", + "modified": "Pick up the broom, hand it over to the right hand, " + }, + { + "op": "replace", + "original": "then", + "modified": "and" + }, + { + "op": "equal", + "original": " ", + "modified": " " + }, + { + "op": "replace", + "original": "use", + "modified": "sweep all the small blocks into the dustpan. Keep" + }, + { + "op": "equal", + "original": " the dustpan ", + "modified": " the dustpan " + }, + { + "op": "replace", + "original": "to sweep", + "modified": "on" + }, + { + "op": "equal", + "original": " the ", + "modified": " the " + }, + { + "op": "replace", + "original": "blocks.", + "modified": "table, level and to the left of the broom, with every block collected inside. Leave the dustpan down and return both arms to their starting poses." + } + ], + "changed": true, + "preserve_whitespace": true, + "label": "Modified instruction", + "source_url": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/catalog/task04/53-robodojo-sweep-blocks/task.yaml" + }, + "display_slot": "42", + "display_key": "task04/42", + "run_status": "finished", + "status_note": "Queued for evaluation.", + "attempt_history": [ + { + "id": "53-robodojo-sweep-blocks-codex-seed0-attempt01", + "execution": { + "reason": "process_error", + "status": "interrupted" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/provenance.json" + } + } + ] + } + ], + "episodes": [ + { + "id": "task04-05-seed0-formal", + "task_key": "task04/05", + "family": "task04", + "slot": "05", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 818, + "success": true, + "termination": "success" + }, + "steps": 818, + "simulation_time_s": null, + "wall_time_s": 474.89826, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Pick up the mallet and strike all xylophone keys from left to right.", + "instruction": "Pick up the mallet and strike all xylophone keys from left to right.", + "instruction_policy": "original_native", + "usage": { + "audit_complete": true, + "cache_hit_rate": 0.9453384625400734, + "cache_reported_input_tokens": 1397747, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 1397747, + "cached_input_tokens": 1321344, + "cli_error_events": 0, + "completed_turns": 1, + "cost_usd": null, + "input_tokens": 1397747, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 1321344, + "known_input_tokens": 1397747, + "known_output_tokens": 9368, + "known_reasoning_output_tokens": 3221, + "output_tokens": 9368, + "reasoning_output_tokens": 3221, + "reasoning_reported_output_tokens": 9368, + "reported_responses": { + "cache_reported_input_tokens": 42, + "cache_write_input_tokens": 42, + "cache_write_reported_input_tokens": 42, + "cached_input_tokens": 42, + "input_tokens": 42, + "output_tokens": 42, + "reasoning_output_tokens": 42, + "reasoning_reported_output_tokens": 42 + }, + "response_count": 42, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 76403, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 41, + "model_tool_calls_by_name": { + "exec": 41 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 8.2, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 328, + "captured_samples": 328, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 328, + "end_time_s": 32.71999999999948, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 328, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "886425375b21b36f96b0ccca630df5ecca8c7fa74545ceb9a08fb5f74720cf1f", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 818 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "05-robodojo-play-xylophone-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": null, + "configuration": "original Codex defaults; completed result retained", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "35c05e4e74b6a13f220c40daddc88aa06280c47ada586357c5bba90a220a8ec2", + "protocol_sha256": "6e8f773de082b048547d9d092a6e48aab2bbfa59b7bb0fab422bd78a958354b5" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "tools/xylophone.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/resources/tools/xylophone.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/resources/memos/robodojo.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 95, + "observed_images": 14, + "tool_errors": 4 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/" + }, + { + "id": "task04-01-seed0-formal", + "task_key": "task04/01", + "family": "task04", + "slot": "01", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": false, + "native_reward": 0.5, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 6884, + "success": false, + "termination": "stopped" + }, + "steps": 6884, + "simulation_time_s": null, + "wall_time_s": 2979.228092, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Pick up two slices of bread, place them into the toaster, and press the lever down.", + "instruction": "Place two bread slices upright in the toaster, one per slot, leaving the other two on the rack. Press the lever down, then return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9880169943603974, + "cache_reported_input_tokens": 13262282, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 13262282, + "cached_input_tokens": 13103360, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 13262282, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 13103360, + "known_input_tokens": 13262282, + "known_output_tokens": 42295, + "known_reasoning_output_tokens": 22555, + "output_tokens": 42295, + "reasoning_output_tokens": 22555, + "reasoning_reported_output_tokens": 42295, + "reported_responses": { + "cache_reported_input_tokens": 173, + "cache_write_input_tokens": 173, + "cache_write_reported_input_tokens": 173, + "cached_input_tokens": 173, + "input_tokens": 173, + "output_tokens": 173, + "reasoning_output_tokens": 173, + "reasoning_reported_output_tokens": 173 + }, + "response_count": 173, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 158922, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 172, + "model_tool_calls_by_name": { + "exec": 172 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 68.85, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 2755, + "captured_samples": 2755, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 2754, + "end_time_s": 275.35999999999325, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 2755, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "d41d9dfff8503e02484d73b64304f7f05b08f366156b969d5d4b32e55af35375", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 6,884 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "01-robodojo-make-toast-codex-seed0-attempt02", + "attempt": 2, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "44c8a75c20315659d3feda7076c1d792afbfb94f31f1521511ac8d21ae32e78e", + "protocol_sha256": "558b51d6786cd5ba0a989f7b2b872a3e37424dda668128a679113df86f67e43d" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/arx.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/resources/tools/arx.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo-arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/resources/memos/robodojo-arx.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 370, + "observed_images": 76, + "tool_errors": 6 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/" + }, + { + "id": "task04-02-seed0-formal", + "task_key": "task04/02", + "family": "task04", + "slot": "02", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 1642, + "success": true, + "termination": "success" + }, + "steps": 1642, + "simulation_time_s": null, + "wall_time_s": 677.076593, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Put car objects into the left basket, watch objects into the middle basket, and wooden_toy objects into the right basket, then reset the robot arm.", + "instruction": "Put car objects into the left basket, watch objects into the middle basket, and wooden_toy objects into the right basket, then reset the robot arm.", + "instruction_policy": "original_native", + "usage": { + "audit_complete": true, + "cache_hit_rate": 0.9587609639851788, + "cache_reported_input_tokens": 1667619, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 1667619, + "cached_input_tokens": 1598848, + "cli_error_events": 0, + "completed_turns": 1, + "cost_usd": null, + "input_tokens": 1667619, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 1598848, + "known_input_tokens": 1667619, + "known_output_tokens": 9371, + "known_reasoning_output_tokens": 2154, + "output_tokens": 9371, + "reasoning_output_tokens": 2154, + "reasoning_reported_output_tokens": 9371, + "reported_responses": { + "cache_reported_input_tokens": 47, + "cache_write_input_tokens": 47, + "cache_write_reported_input_tokens": 47, + "cached_input_tokens": 47, + "input_tokens": 47, + "output_tokens": 47, + "reasoning_output_tokens": 47, + "reasoning_reported_output_tokens": 47 + }, + "response_count": 47, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 68771, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 46, + "model_tool_calls_by_name": { + "exec": 46 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 16.4, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 658, + "captured_samples": 658, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 657, + "end_time_s": 65.67999999999907, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 658, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "d2cc80d1717aad863e7fd683f518d68db4444e678ce09f4fac1da1d6acd9a061", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 1,642 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "02-robodojo-classify-objects-by-language-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": null, + "configuration": "original Codex defaults; completed result retained", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "27f2147aa3fca47f9366fbb8b04743dc91a21da1a7cb37e898b7fb255327bcdc", + "protocol_sha256": "3af4e8c103ad2c73d236f4fa8afce82c78df7a6d0f34c6e7c4664d7a9b7ba30f" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/manipulate.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/resources/tools/manipulate.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo-arx-x5.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/resources/memos/robodojo-arx-x5.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 106, + "observed_images": 18, + "tool_errors": 3 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/" + }, + { + "id": "task04-03-seed0-formal", + "task_key": "task04/03", + "family": "task04", + "slot": "03", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": false, + "native_reward": 0.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 5696, + "success": false, + "termination": "stopped" + }, + "steps": 5696, + "simulation_time_s": null, + "wall_time_s": 3731.88979, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Hang the headphones on the headphone stand, close the laptop, then place it into the vertical laptop stand.", + "instruction": "Hang the headphones by the middle of their headband, aligned with the stand cradle so both earcups hang evenly below it. Close the laptop fully and seat it upright in its vertical stand. Release both objects and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9712139156884596, + "cache_reported_input_tokens": 18189657, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 18189657, + "cached_input_tokens": 17666048, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 18189657, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 17666048, + "known_input_tokens": 18189657, + "known_output_tokens": 45612, + "known_reasoning_output_tokens": 24134, + "output_tokens": 45612, + "reasoning_output_tokens": 24134, + "reasoning_reported_output_tokens": 45612, + "reported_responses": { + "cache_reported_input_tokens": 217, + "cache_write_input_tokens": 217, + "cache_write_reported_input_tokens": 217, + "cached_input_tokens": 217, + "input_tokens": 217, + "output_tokens": 217, + "reasoning_output_tokens": 217, + "reasoning_reported_output_tokens": 217 + }, + "response_count": 217, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 523609, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 216, + "model_tool_calls_by_name": { + "exec": 216 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 56.95, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 2280, + "captured_samples": 2280, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 2279, + "end_time_s": 227.83999999998895, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 2280, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "244a01435774684a435daf0ebc3858c5c750e36b4617039ed3e4ffc7e54f9093", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 5,696 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "03-robodojo-store-laptop-and-headphones-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": null, + "configuration": "original Codex defaults; completed result retained", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "a7d435164afd78e6885e362c2f73d6794311358e6da05c467f520559bd3bdcd1", + "protocol_sha256": "1ede5afa307a8048edacac6c0bed72eba2d894ed61887aefbaf2cd0cdbf903d5" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo_manipulation.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/resources/memos/robodojo_manipulation.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 456, + "observed_images": 81, + "tool_errors": 8 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/" + }, + { + "id": "task04-04-seed0-formal", + "task_key": "task04/04", + "family": "task04", + "slot": "04", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 2184, + "success": true, + "termination": "success" + }, + "steps": 2184, + "simulation_time_s": null, + "wall_time_s": 870.408397, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Cover the blocks from left to right, remember their colors, then uncover them in the order: red, green, and blue.", + "instruction": "Use the three cups to cover the blocks one at a time, from left to right. Remember the block colors. Once all three are covered, uncover them one at a time in this order: red, green, blue. Keep every cup upside down throughout, leave the blocks in their original positions, and return both arms to their starting poses when finished.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.974152547857263, + "cache_reported_input_tokens": 2163308, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 2163308, + "cached_input_tokens": 2107392, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 2163308, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 2107392, + "known_input_tokens": 2163308, + "known_output_tokens": 9584, + "known_reasoning_output_tokens": 2048, + "output_tokens": 9584, + "reasoning_output_tokens": 2048, + "reasoning_reported_output_tokens": 9584, + "reported_responses": { + "cache_reported_input_tokens": 59, + "cache_write_input_tokens": 59, + "cache_write_reported_input_tokens": 59, + "cached_input_tokens": 59, + "input_tokens": 59, + "output_tokens": 59, + "reasoning_output_tokens": 59, + "reasoning_reported_output_tokens": 59 + }, + "response_count": 59, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 55916, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 58, + "model_tool_calls_by_name": { + "exec": 58 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 21.85, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 875, + "captured_samples": 875, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 874, + "end_time_s": 87.36000000000246, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 875, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "187eb49923031bc169e94d8a3ee4afb56b326324114edcc4b747dc65e0d769a2", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 2,184 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "04-robodojo-cover-blocks-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": null, + "configuration": "original Codex defaults; completed result retained", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "ba485cb40c00fc13c4cc2d3a9099ed481de3c8f5b4fc4491fa2cfc9bf3cb7720", + "protocol_sha256": "f82ccffd492114e7545cc0020de438e9656e0206bbec42d7b35a87b1ac2969a4" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/arx_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/resources/tools/arx_control.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo_arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/resources/memos/robodojo_arx.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 130, + "observed_images": 17, + "tool_errors": 4 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/" + }, + { + "id": "task04-06-seed0-formal", + "task_key": "task04/06", + "family": "task04", + "slot": "06", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": false, + "native_reward": 0.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 7421, + "success": false, + "termination": "stopped" + }, + "steps": 7421, + "simulation_time_s": null, + "wall_time_s": 3752.161363, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Place each tool into its matching position in the toolbox, then reset the robot arm.", + "instruction": "Place each tool flat in its matching shaped recess, aligned with the outline and fully below the toolbox rim. Release all tools and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9886906039946509, + "cache_reported_input_tokens": 15593052, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 15593052, + "cached_input_tokens": 15416704, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 15593052, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 15416704, + "known_input_tokens": 15593052, + "known_output_tokens": 57648, + "known_reasoning_output_tokens": 36726, + "output_tokens": 57648, + "reasoning_output_tokens": 36726, + "reasoning_reported_output_tokens": 57648, + "reported_responses": { + "cache_reported_input_tokens": 207, + "cache_write_input_tokens": 207, + "cache_write_reported_input_tokens": 207, + "cached_input_tokens": 207, + "input_tokens": 207, + "output_tokens": 207, + "reasoning_output_tokens": 207, + "reasoning_reported_output_tokens": 207 + }, + "response_count": 207, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 176348, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 206, + "model_tool_calls_by_name": { + "exec": 206 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 74.2, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 2970, + "captured_samples": 2970, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 2969, + "end_time_s": 296.84000000000424, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 2970, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "9b05b8721f8a9ba6d50bca1e31c826d2b9e93eededd97f9294ef08410fb4b320", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 7,421 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "06-robodojo-store-tools-in-toolbox-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": null, + "configuration": "original Codex defaults; completed result retained", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "44e662500fec84bba99856f9ce573276e3141bb32a472f4245d02b75eaff70f2", + "protocol_sha256": "fa5ac36c9b8059eb095876d7da44d3a1fcdb68df35a6ef72c3800d96d5292357" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "skills/robodojo-arx-manipulation/SKILL.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/resources/skills/robodojo-arx-manipulation/SKILL.md", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo-arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/resources/memos/robodojo-arx.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 453, + "observed_images": 61, + "tool_errors": 7 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/" + }, + { + "id": "task04-07-seed0-formal", + "task_key": "task04/07", + "family": "task04", + "slot": "07", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 4162, + "success": true, + "termination": "success" + }, + "steps": 4162, + "simulation_time_s": null, + "wall_time_s": 2428.860172, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Insert the three tubes into the rack one by one.", + "instruction": "Insert the three tubes upright into the rack one by one, pointed ends down, until they are fully seated. Release them and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9885433078393561, + "cache_reported_input_tokens": 11924908, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 11924908, + "cached_input_tokens": 11788288, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 11924908, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 11788288, + "known_input_tokens": 11924908, + "known_output_tokens": 45245, + "known_reasoning_output_tokens": 23793, + "output_tokens": 45245, + "reasoning_output_tokens": 23793, + "reasoning_reported_output_tokens": 45245, + "reported_responses": { + "cache_reported_input_tokens": 168, + "cache_write_input_tokens": 168, + "cache_write_reported_input_tokens": 168, + "cached_input_tokens": 168, + "input_tokens": 168, + "output_tokens": 168, + "reasoning_output_tokens": 168, + "reasoning_reported_output_tokens": 168 + }, + "response_count": 168, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 136620, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 167, + "model_tool_calls_by_name": { + "exec": 167 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 41.6, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 1666, + "captured_samples": 1666, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 1665, + "end_time_s": 166.48000000000116, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 1666, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "0eceba672ce4ecdeea98aa372cce1c4d7dd69cf118c2766b39ad4fee0204a3fb", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 4,162 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "07-robodojo-insert-tubes-codex-seed0-attempt02", + "attempt": 2, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "dced20541deac3be24265775d5b357aadecb6b53ad8b991fbf38cfcb1a690cfd", + "protocol_sha256": "331cfc33f7aa656ce04ffa0d8e7927d625ea36dd825616041760649c239cee4b" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "tools/tubes.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/resources/tools/tubes.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/insert-tubes.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/resources/memos/insert-tubes.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 362, + "observed_images": 84, + "tool_errors": 4 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/" + }, + { + "id": "task04-08-seed0-formal", + "task_key": "task04/08", + "family": "task04", + "slot": "08", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 1432, + "success": true, + "termination": "success" + }, + "steps": 1432, + "simulation_time_s": null, + "wall_time_s": 910.698324, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Pick up the coin from the holder and insert it precisely into the coin bank.", + "instruction": "Pick up the coin from its holder and deposit it through the slot of the coin bank. Let the coin fall fully inside the bank, then return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "audit_complete": true, + "cache_hit_rate": 0.969718938267589, + "cache_reported_input_tokens": 2957393, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 2957393, + "cached_input_tokens": 2867840, + "cli_error_events": 0, + "completed_turns": 1, + "cost_usd": null, + "input_tokens": 2957393, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 2867840, + "known_input_tokens": 2957393, + "known_output_tokens": 15930, + "known_reasoning_output_tokens": 6814, + "output_tokens": 15930, + "reasoning_output_tokens": 6814, + "reasoning_reported_output_tokens": 15930, + "reported_responses": { + "cache_reported_input_tokens": 69, + "cache_write_input_tokens": 69, + "cache_write_reported_input_tokens": 69, + "cached_input_tokens": 69, + "input_tokens": 69, + "output_tokens": 69, + "reasoning_output_tokens": 69, + "reasoning_reported_output_tokens": 69 + }, + "response_count": 69, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 89553, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 68, + "model_tool_calls_by_name": { + "exec": 68 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 14.3, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 574, + "captured_samples": 574, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 573, + "end_time_s": 57.27999999999896, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 574, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "cb24a4ce2ea19e647f2c67606f98d2cbf886b855b493fc7f7bc9262aff986477", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 1,432 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "08-robodojo-deposit-coin-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": null, + "configuration": "original Codex defaults; completed result retained", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "6646988c7b86b850f5e65a3ed8ef9567c55a3ab54dbacfcd4fc3e768d48600dc", + "protocol_sha256": "a5257eeb791b38dc956b69d4b7720388b44fff6d4ebee9de4202fec62c582203" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/arx.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/resources/tools/arx.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo-arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/resources/memos/robodojo-arx.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 151, + "observed_images": 35, + "tool_errors": 3 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/" + }, + { + "id": "task04-09-seed0-formal", + "task_key": "task04/09", + "family": "task04", + "slot": "09", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 7340, + "success": true, + "termination": "success" + }, + "steps": 7340, + "simulation_time_s": null, + "wall_time_s": 2222.863393, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Insert and tighten each screw into the nut of the same color.", + "instruction": "Fit each nut upright onto the bolt of the same color and seat it fully. Release the nuts, fully open both grippers, and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9835530486386026, + "cache_reported_input_tokens": 5986459, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 5986459, + "cached_input_tokens": 5888000, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 5986459, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 5888000, + "known_input_tokens": 5986459, + "known_output_tokens": 23452, + "known_reasoning_output_tokens": 10788, + "output_tokens": 23452, + "reasoning_output_tokens": 10788, + "reasoning_reported_output_tokens": 23452, + "reported_responses": { + "cache_reported_input_tokens": 102, + "cache_write_input_tokens": 102, + "cache_write_reported_input_tokens": 102, + "cached_input_tokens": 102, + "input_tokens": 102, + "output_tokens": 102, + "reasoning_output_tokens": 102, + "reasoning_reported_output_tokens": 102 + }, + "response_count": 102, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 98459, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 101, + "model_tool_calls_by_name": { + "exec": 101 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 73.4, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 2937, + "captured_samples": 2937, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 2937, + "end_time_s": 293.6000000000026, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 2937, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "a8697d4f957fe6a2a66e87eb3c4997d6950eee33a083feb21b1b8e390a5904d1", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 7,340 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "09-robodojo-fasten-screws-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "7d0d25b922a0b9c4b5f5d1aed6a177a2ab18c354b1b5f0b46e6c6893bd41122a", + "protocol_sha256": "3ef339de3038dcc6f878291f55e69c8bdfa168ab01175b93c61087d631f4cd43" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/arx.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/resources/tools/arx.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "tools/thread.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/resources/tools/thread.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "tools/vision.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/resources/tools/vision.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/fasten-screws.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/resources/memos/fasten-screws.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 239, + "observed_images": 46, + "tool_errors": 4 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/" + }, + { + "id": "task04-10-seed0-formal", + "task_key": "task04/10", + "family": "task04", + "slot": "10", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 2460, + "success": true, + "termination": "success" + }, + "steps": 2460, + "simulation_time_s": null, + "wall_time_s": 1359.75979, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Place all stacking toy pieces onto the correct pegs.", + "instruction": "Place all stacking toy pieces onto their matching pegs, with the pieces neatly stacked and fully seated, then release them and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9826687858661154, + "cache_reported_input_tokens": 4468354, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 4468354, + "cached_input_tokens": 4390912, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 4468354, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 4390912, + "known_input_tokens": 4468354, + "known_output_tokens": 20623, + "known_reasoning_output_tokens": 8390, + "output_tokens": 20623, + "reasoning_output_tokens": 8390, + "reasoning_reported_output_tokens": 20623, + "reported_responses": { + "cache_reported_input_tokens": 92, + "cache_write_input_tokens": 92, + "cache_write_reported_input_tokens": 92, + "cached_input_tokens": 92, + "input_tokens": 92, + "output_tokens": 92, + "reasoning_output_tokens": 92, + "reasoning_reported_output_tokens": 92 + }, + "response_count": 92, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 77442, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 91, + "model_tool_calls_by_name": { + "exec": 91 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 24.6, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 985, + "captured_samples": 985, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 985, + "end_time_s": 98.40000000000418, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 985, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "f33410f408ea216ab16e5e5b63ef1401675bed937cda72452a50e74f0c7e6110", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 2,460 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "10-robodojo-play-stacking-toy-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "6f04acc882ec1476c4e080affbc5f56056ef179393d261cfdd09395d7b4efc8d", + "protocol_sha256": "151595e8813018fa139d3fa1302f064a6f3147285b0afa155b9e316dac2a8cef" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "tools/scene.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/resources/tools/scene.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "tools/star_pose.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/resources/tools/star_pose.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/stacking-toy.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/resources/memos/stacking-toy.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 200, + "observed_images": 42, + "tool_errors": 4 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/" + }, + { + "id": "task04-11-seed0-formal", + "task_key": "task04/11", + "family": "task04", + "slot": "11", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 905, + "success": true, + "termination": "success" + }, + "steps": 905, + "simulation_time_s": null, + "wall_time_s": 451.410962, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Use the set square to push the three blocks into a straight, aligned row, then reset the robot arm.", + "instruction": "Use the set square to push the three blocks into a straight, aligned row, then reset the robot arm.", + "instruction_policy": "original_native", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9693861238189193, + "cache_reported_input_tokens": 1207263, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 1207263, + "cached_input_tokens": 1170304, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 1207263, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 1170304, + "known_input_tokens": 1207263, + "known_output_tokens": 7588, + "known_reasoning_output_tokens": 2448, + "output_tokens": 7588, + "reasoning_output_tokens": 2448, + "reasoning_reported_output_tokens": 7588, + "reported_responses": { + "cache_reported_input_tokens": 38, + "cache_write_input_tokens": 38, + "cache_write_reported_input_tokens": 38, + "cached_input_tokens": 38, + "input_tokens": 38, + "output_tokens": 38, + "reasoning_output_tokens": 38, + "reasoning_reported_output_tokens": 38 + }, + "response_count": 38, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 36959, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 37, + "model_tool_calls_by_name": { + "exec": 37 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 9.05, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 363, + "captured_samples": 363, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 363, + "end_time_s": 36.199999999999406, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 363, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "d51f804540d6c50398212f2f5edf86ee1625dc47cf7baa4a9f83a2b860913e8d", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 905 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "11-robodojo-align-blocks-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "086abce49b5d3532ac8d2ae2a151203ee393764ee8922696a8078816facb4405", + "protocol_sha256": "620ebf01c8128411b840fd2d8f4f2fe1218e00277e6acd3cde5539758a420a74" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/arx_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/resources/tools/arx_control.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo_arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/resources/memos/robodojo_arx.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 87, + "observed_images": 11, + "tool_errors": 4 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/" + }, + { + "id": "task04-12-seed0-formal", + "task_key": "task04/12", + "family": "task04", + "slot": "12", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 2040, + "success": true, + "termination": "success" + }, + "steps": 2040, + "simulation_time_s": null, + "wall_time_s": 761.096515, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Arrange the numbers from left to right to form the largest possible number, and place them on the pad.", + "instruction": "Arrange all the digits on the pads to form the largest possible number when read from left to right. Leave one digit lying flat on each pad, readable from the robot's side, then return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9753845987393726, + "cache_reported_input_tokens": 2403089, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 2403089, + "cached_input_tokens": 2343936, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 2403089, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 2343936, + "known_input_tokens": 2403089, + "known_output_tokens": 14542, + "known_reasoning_output_tokens": 5467, + "output_tokens": 14542, + "reasoning_output_tokens": 5467, + "reasoning_reported_output_tokens": 14542, + "reported_responses": { + "cache_reported_input_tokens": 57, + "cache_write_input_tokens": 57, + "cache_write_reported_input_tokens": 57, + "cached_input_tokens": 57, + "input_tokens": 57, + "output_tokens": 57, + "reasoning_output_tokens": 57, + "reasoning_reported_output_tokens": 57 + }, + "response_count": 57, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 59153, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 56, + "model_tool_calls_by_name": { + "exec": 56 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 20.4, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 817, + "captured_samples": 817, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 817, + "end_time_s": 81.60000000000156, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 817, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "9a9c90793bbaacd612feb198417179ec25bbcb35d94d70552737bbe13ce20476", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 2,040 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "12-robodojo-arrange-largest-number-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "d01052e6e6c2efca3ee6889b464b94a02621b96261073f765c74b3330454c6e2", + "protocol_sha256": "e82a721587b91661ee5bcdb485c3e6573d246b35f68ab10c3db9adcfe9fbbe1f" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/resources/memos/robodojo.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 128, + "observed_images": 34, + "tool_errors": 3 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/" + }, + { + "id": "task04-14-seed0-formal", + "task_key": "task04/14", + "family": "task04", + "slot": "14", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 3359, + "success": true, + "termination": "success" + }, + "steps": 3359, + "simulation_time_s": null, + "wall_time_s": 1171.989441, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Build a tower using the wooden blocks and wooden boards.", + "instruction": "Build a tower, from bottom to top: two white blocks, the long board, two white blocks, the short board, the small plank, and the green roof. Use one white block from each original side in each pair. Keep the white blocks, boards and plank horizontal on their original bottom faces, and the roof upright on its base. Center the short board, plank and roof over the piece directly below. Align the plank lengthwise with the short board, with the roof ridge perpendicular to the plank\u2019s long edges. Release everything, open both grippers, and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9675784864147415, + "cache_reported_input_tokens": 4541614, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 4541614, + "cached_input_tokens": 4394368, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 4541614, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 4394368, + "known_input_tokens": 4541614, + "known_output_tokens": 24568, + "known_reasoning_output_tokens": 12189, + "output_tokens": 24568, + "reasoning_output_tokens": 12189, + "reasoning_reported_output_tokens": 24568, + "reported_responses": { + "cache_reported_input_tokens": 84, + "cache_write_input_tokens": 84, + "cache_write_reported_input_tokens": 84, + "cached_input_tokens": 84, + "input_tokens": 84, + "output_tokens": 84, + "reasoning_output_tokens": 84, + "reasoning_reported_output_tokens": 84 + }, + "response_count": 84, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 147246, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 83, + "model_tool_calls_by_name": { + "exec": 83 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 33.6, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 1345, + "captured_samples": 1345, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 1344, + "end_time_s": 134.36000000000755, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 1345, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "b52315b264a1ec58c07ecb9116860442f42663203610c1a8657a28219c9f4838", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 3,359 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "14-robodojo-build-tower-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "aff53ab9e8e2a32cbeb5a2f4633e6f7a27eb2b3866ebc2e2ba6d44d650dcb442", + "protocol_sha256": "f23cb3045132545976e459babecca972c759abe27461c2ba6453d38a7e4d1360" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/resources/memos/robodojo.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 184, + "observed_images": 26, + "tool_errors": 8 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/" + }, + { + "id": "task04-15-seed0-formal", + "task_key": "task04/15", + "family": "task04", + "slot": "15", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 2596, + "success": true, + "termination": "success" + }, + "steps": 2596, + "simulation_time_s": null, + "wall_time_s": 1014.520145, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Sort the objects by category into the three baskets.", + "instruction": "Sort all objects by category into the three baskets, with one category per basket. Place every object fully inside and below the basket rim. Release the objects and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9738975583231717, + "cache_reported_input_tokens": 4079082, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 4079082, + "cached_input_tokens": 3972608, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 4079082, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 3972608, + "known_input_tokens": 4079082, + "known_output_tokens": 15725, + "known_reasoning_output_tokens": 5293, + "output_tokens": 15725, + "reasoning_output_tokens": 5293, + "reasoning_reported_output_tokens": 15725, + "reported_responses": { + "cache_reported_input_tokens": 90, + "cache_write_input_tokens": 90, + "cache_write_reported_input_tokens": 90, + "cached_input_tokens": 90, + "input_tokens": 90, + "output_tokens": 90, + "reasoning_output_tokens": 90, + "reasoning_reported_output_tokens": 90 + }, + "response_count": 90, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 106474, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 89, + "model_tool_calls_by_name": { + "exec": 89 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 25.95, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 1040, + "captured_samples": 1040, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 1039, + "end_time_s": 103.84000000000503, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 1040, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "e96ba3cf7a99f5b2b17cbefd55e81a1fde9a3fd6bcba56070e0562bab2b6f25b", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 2,596 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "15-robodojo-classify-objects-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "d2e8f693d88f6de5e2df3641f442f1eceb4491bed7af44d821ce744caaad76a4", + "protocol_sha256": "d4764df5340422c36eecca651903cdb4fbd291218376a4e4117bd3dc8acfe06b" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/resources/memos/robodojo.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 196, + "observed_images": 29, + "tool_errors": 7 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/" + }, + { + "id": "task04-16-seed0-formal", + "task_key": "task04/16", + "family": "task04", + "slot": "16", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 0.9, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 3772, + "success": true, + "termination": "success" + }, + "steps": 3772, + "simulation_time_s": null, + "wall_time_s": 2172.762126, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Place the four eggs from the basket into the egg holder, then close the lid.", + "instruction": "Place all four eggs from the basket into the egg holder, seated fully down in its egg compartments. Close the lid fully without dislodging the eggs, release the holder, and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9826951520509492, + "cache_reported_input_tokens": 10433608, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 10433608, + "cached_input_tokens": 10253056, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 10433608, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 10253056, + "known_input_tokens": 10433608, + "known_output_tokens": 29150, + "known_reasoning_output_tokens": 12899, + "output_tokens": 29150, + "reasoning_output_tokens": 12899, + "reasoning_reported_output_tokens": 29150, + "reported_responses": { + "cache_reported_input_tokens": 157, + "cache_write_input_tokens": 157, + "cache_write_reported_input_tokens": 157, + "cached_input_tokens": 157, + "input_tokens": 157, + "output_tokens": 157, + "reasoning_output_tokens": 157, + "reasoning_reported_output_tokens": 157 + }, + "response_count": 157, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 180552, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 156, + "model_tool_calls_by_name": { + "exec": 156 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 37.7, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 1510, + "captured_samples": 1510, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 1509, + "end_time_s": 150.88000000000426, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 1510, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "002442d1fa0799e92d47cc1687b3da010773218f87a3be0e689c11906ffb29c7", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 3,772 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "16-robodojo-fill-egg-holder-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "871a93ab6accbee6e7cc7968929044cbb727bb42f06c28dca314a22cc2249634", + "protocol_sha256": "e0a19fd656f3a7648fb37353a65d615d5764a23477c26b9ef17a28e052f6af6c" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "tools/vision.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/resources/tools/vision.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/egg-holder.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/resources/memos/egg-holder.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 337, + "observed_images": 62, + "tool_errors": 5 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/" + }, + { + "id": "task04-17-seed0-formal", + "task_key": "task04/17", + "family": "task04", + "slot": "17", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": false, + "native_reward": 0.25, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 7440, + "success": false, + "termination": "stopped" + }, + "steps": 7440, + "simulation_time_s": null, + "wall_time_s": 5845.33904, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Hold the pen holder with one hand, place all pens into it with the other hand, then put it back down.", + "instruction": "Hold the pen holder with one hand and insert all the pens with the other, writing ends down and fully seated inside. Put the holder down upright, release it, and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.992503006146394, + "cache_reported_input_tokens": 29201838, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 29201838, + "cached_input_tokens": 28982912, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 29201838, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 28982912, + "known_input_tokens": 29201838, + "known_output_tokens": 80788, + "known_reasoning_output_tokens": 48714, + "output_tokens": 80788, + "reasoning_output_tokens": 48714, + "reasoning_reported_output_tokens": 80788, + "reported_responses": { + "cache_reported_input_tokens": 289, + "cache_write_input_tokens": 289, + "cache_write_reported_input_tokens": 289, + "cached_input_tokens": 289, + "input_tokens": 289, + "output_tokens": 289, + "reasoning_output_tokens": 289, + "reasoning_reported_output_tokens": 289 + }, + "response_count": 289, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 218926, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 288, + "model_tool_calls_by_name": { + "exec": 288 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 74.4, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 2977, + "captured_samples": 2977, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 2977, + "end_time_s": 297.6000000000046, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 2977, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "f3c9626399fbbdd5e6f15a39f9e9967e3ac90b6d1c85b0ba822ae16f36465301", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 7,440 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "17-robodojo-fill-pen-holder-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "4de9c3c264f52832303def2e45505f2814b7fc5a0fe89b7ca676fd6d8c693b71", + "protocol_sha256": "8db05ad726248326912895583e4fe0eb492747d9f7702eb2b524abfb8da02a0a" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo-manipulation.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/resources/memos/robodojo-manipulation.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 608, + "observed_images": 123, + "tool_errors": 20 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/" + }, + { + "id": "task04-18-seed0-formal", + "task_key": "task04/18", + "family": "task04", + "slot": "18", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 2826, + "success": true, + "termination": "success" + }, + "steps": 2826, + "simulation_time_s": null, + "wall_time_s": 1232.841163, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Fold the clothes neatly.", + "instruction": "Fold the garment into a compact rectangle, with both sleeves folded across the chest and the lower half folded up toward the shoulders. Release the garment, open both grippers, and return both arms to their starting poses when finished.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9844570088586699, + "cache_reported_input_tokens": 4706237, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 4706237, + "cached_input_tokens": 4633088, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 4706237, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 4633088, + "known_input_tokens": 4706237, + "known_output_tokens": 20162, + "known_reasoning_output_tokens": 9173, + "output_tokens": 20162, + "reasoning_output_tokens": 9173, + "reasoning_reported_output_tokens": 20162, + "reported_responses": { + "cache_reported_input_tokens": 103, + "cache_write_input_tokens": 103, + "cache_write_reported_input_tokens": 103, + "cached_input_tokens": 103, + "input_tokens": 103, + "output_tokens": 103, + "reasoning_output_tokens": 103, + "reasoning_reported_output_tokens": 103 + }, + "response_count": 103, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 73149, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 102, + "model_tool_calls_by_name": { + "exec": 102 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 28.25, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 1132, + "captured_samples": 1132, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 1131, + "end_time_s": 113.04000000000647, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 1132, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "3996c68436f3182c9e7bc41ea32922a95d069c8a68eb224f6f254da8215a7663", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 2,826 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "18-robodojo-fold-clothes-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "35ba999d3fa3ea7ebfbaca4e8dbc7af91edc4b0c46715c5e97b4d98a70e3479a", + "protocol_sha256": "4d88cc5a999dce74aa071c90a44dc1dd29d91e85bb470ce457003c0efec6e5f3" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/cloth_robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/resources/tools/cloth_robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/fold-clothes.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/resources/memos/fold-clothes.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 224, + "observed_images": 18, + "tool_errors": 5 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/" + }, + { + "id": "task04-20-seed0-formal", + "task_key": "task04/20", + "family": "task04", + "slot": "20", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 260, + "success": true, + "termination": "success" + }, + "steps": 260, + "simulation_time_s": null, + "wall_time_s": 269.775859, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Pick up the mint green scissors by 10 cm.", + "instruction": "Pick up the mint green scissors by 10 cm.", + "instruction_policy": "original_native", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9191078898266838, + "cache_reported_input_tokens": 890742, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 890742, + "cached_input_tokens": 818688, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 890742, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 818688, + "known_input_tokens": 890742, + "known_output_tokens": 5727, + "known_reasoning_output_tokens": 1190, + "output_tokens": 5727, + "reasoning_output_tokens": 1190, + "reasoning_reported_output_tokens": 5727, + "reported_responses": { + "cache_reported_input_tokens": 29, + "cache_write_input_tokens": 29, + "cache_write_reported_input_tokens": 29, + "cached_input_tokens": 29, + "input_tokens": 29, + "output_tokens": 29, + "reasoning_output_tokens": 29, + "reasoning_reported_output_tokens": 29 + }, + "response_count": 29, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 72054, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 28, + "model_tool_calls_by_name": { + "exec": 28 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 2.6, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 105, + "captured_samples": 105, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 105, + "end_time_s": 10.399999999999954, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 105, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "f1adb5cd77446398a93ec1a1a57c87e37064722569f777d8ef2a4bacd0e18687", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 260 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "20-robodojo-general-pickup-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "cf1f81dbf7f2eb4c6393e3165c8c4b790ff49c58e39e750896e804bc4d611ed4", + "protocol_sha256": "eb6397849e2080ca6ce830dcd4ed4e76f31023c07b80325b71f2a0444ae4aeb0" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/resources/memos/robodojo.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 67, + "observed_images": 10, + "tool_errors": 3 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/" + }, + { + "id": "task04-21-seed0-formal", + "task_key": "task04/21", + "family": "task04", + "slot": "21", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 3649, + "success": true, + "termination": "success" + }, + "steps": 3649, + "simulation_time_s": null, + "wall_time_s": 2306.162789, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Hang all the mugs on the mug rack.", + "instruction": "Hang all three mugs by their handles on the raised supports of the mug rack. Seat each handle securely over a support, with the mug hanging clear of the table. Release all mugs and return both arms to their starting poses.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.986611442252095, + "cache_reported_input_tokens": 8564328, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 8564328, + "cached_input_tokens": 8449664, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 8564328, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 8449664, + "known_input_tokens": 8564328, + "known_output_tokens": 31426, + "known_reasoning_output_tokens": 14518, + "output_tokens": 31426, + "reasoning_output_tokens": 14518, + "reasoning_reported_output_tokens": 31426, + "reported_responses": { + "cache_reported_input_tokens": 130, + "cache_write_input_tokens": 130, + "cache_write_reported_input_tokens": 130, + "cached_input_tokens": 130, + "input_tokens": 130, + "output_tokens": 130, + "reasoning_output_tokens": 130, + "reasoning_reported_output_tokens": 130 + }, + "response_count": 130, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 114664, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 129, + "model_tool_calls_by_name": { + "exec": 129 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 36.5, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 1461, + "captured_samples": 1461, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 1460, + "end_time_s": 145.96000000000524, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 1461, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "0ddc1edee9aa88a0be87c863f3b64ad7e15490581f2927994d7d4dd64a86ff2f", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 3,649 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "21-robodojo-hang-mugs-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "70767bdbed391ab842e15bda14790bef81da6a1f18cda36d74fdd8907eb6e79d", + "protocol_sha256": "c503521ec7cadab57ffa2b9e37d6e21b1429512d1233fec140dd86f0f171f1ce" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/media-validation.json" + }, + "resources": [ + { + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/hang-mugs.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/resources/memos/hang-mugs.md", + "kind": "Created during this episode; final workspace snapshot." + } + ], + "session_counts": { + "visible_events": 281, + "observed_images": 76, + "tool_errors": 7 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/" + }, + { + "id": "task04-23-seed0-formal", + "task_key": "task04/23", + "family": "task04", + "slot": "23", + "seed": 0, + "episode": 1, + "phase": "formal", + "status": "completed", + "success": true, + "native_reward": 1.0, + "valid": true, + "execution": { + "reason": null, + "status": "finished" + }, + "verdict": { + "evidence_valid": true, + "steps": 2522, + "success": true, + "termination": "success" + }, + "steps": 2522, + "simulation_time_s": null, + "wall_time_s": 768.602172, + "model": "gpt-6-astra", + "effort": "high", + "harness": "codex", + "codex_version": "0.160.0", + "native_instruction": "Observe the object placement order, remember it, then place the corresponding objects into the basket in the same order.", + "instruction": "Keep both arms at their starting poses while the other robot demonstrates the five-object placement sequence. After it finishes, place your corresponding objects one at a time into the empty basket in the same order. Keep every previously placed object inside, and leave the demonstration objects in the other basket. Return both arms to their starting poses when finished.", + "instruction_policy": "modified", + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9556093875054337, + "cache_reported_input_tokens": 2056606, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 2056606, + "cached_input_tokens": 1965312, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 2056606, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 1965312, + "known_input_tokens": 2056606, + "known_output_tokens": 10680, + "known_reasoning_output_tokens": 3174, + "output_tokens": 10680, + "reasoning_output_tokens": 3174, + "reasoning_reported_output_tokens": 10680, + "reported_responses": { + "cache_reported_input_tokens": 54, + "cache_write_input_tokens": 54, + "cache_write_reported_input_tokens": 54, + "cached_input_tokens": 54, + "input_tokens": 54, + "output_tokens": 54, + "reasoning_output_tokens": 54, + "reasoning_reported_output_tokens": 54 + }, + "response_count": 54, + "response_ids_complete": true, + "schema": "rlebench/token-usage/1", + "source": "Codex token_usage_record per response", + "uncached_input_tokens": 91294, + "unidentified_usage_records": 0 + }, + "call_activity": { + "model_tool_calls": 53, + "model_tool_calls_by_name": { + "exec": 53 + }, + "nested_python_tool_invocations": null, + "python_device_rpc_attempts": null, + "python_device_rpc_attempts_by_action": null, + "python_device_rpc_errors": null, + "python_instrumented_model_tool_calls": null, + "python_tool_invocations": null, + "python_tool_invocations_by_origin": null, + "schema": "rlebench/call-activity/1", + "source": "Codex native sessions" + }, + "media": { + "passed": true, + "width": 2880, + "height": 720, + "duration_s": 25.2, + "speed": 4, + "source_fps": 10, + "output_fps": 20, + "recording": { + "accepted_samples": 1010, + "captured_samples": 1010, + "clock": "simulation", + "dropped_samples": 0, + "encoded_frames": 1009, + "end_time_s": 100.88000000000457, + "error": null, + "experimental": true, + "fps": 10, + "received_samples": 1010, + "schema": "roboenv/recording/1", + "state": "closed", + "status": "complete", + "views": [ + { + "fov_y": 45.0, + "height": 720, + "name": "third_person", + "pose": null, + "source": "third_person", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "left_wrist", + "pose": null, + "source": "left_wrist", + "width": 960 + }, + { + "fov_y": 45.0, + "height": 720, + "name": "right_wrist", + "pose": null, + "source": "right_wrist", + "width": 960 + } + ] + }, + "view_names": [ + "third_person", + "left_wrist", + "right_wrist" + ], + "sha256": "53deb842a8884a3c13a74206e3428cd05f0f4fd34bb2a9ddda96879725e79526", + "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" + }, + "analysis": { + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 2,522 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + }, + "provenance": { + "sources": { + "RLE-Bench-inhouse": { + "build_inputs": [ + "pyproject.toml", + "src", + "tasks", + "README.md", + "Makefile", + "tests", + "docs" + ], + "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" + }, + "RoboEnv": { + "build_inputs": [ + "pyproject.toml", + "README.md", + "src", + "runtime/pyproject.toml", + "runtime/README.md", + "runtime/src", + "runtime/environments.json", + "runtime/locks", + "catalog", + "upstreams.lock.json", + "third_party/patches", + "docs/validation" + ], + "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + } + }, + "job": "23-robodojo-imitate-sorting-sequence-codex-seed0-attempt01", + "attempt": 1, + "harness": "stock Codex CLI", + "codex_version": "0.160.0", + "model": "gpt-6-astra", + "effort": "high", + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "9b1953ed93b8e55e6edebf252367a0b915d05693b39399ff56af6f295f21bca6", + "protocol_sha256": "32d862b0761e0d956a45f371a10e4e0140fd59918700869986626301b85a8aec" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/media-validation.json" }, - "display_slot": "42", - "display_key": "task04/42", - "run_status": "finished", - "status_note": "Queued for evaluation.", - "attempt_history": [ + "resources": [ { - "id": "53-robodojo-sweep-blocks-codex-seed0-attempt01", - "execution": { - "reason": "process_error", - "status": "interrupted" - }, - "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/attempts/task04/53/53-robodojo-sweep-blocks-codex-seed0-attempt01/provenance.json" - } + "name": "tools/arx_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/resources/tools/arx_control.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo_arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/resources/memos/robodojo_arx.md", + "kind": "Created during this episode; final workspace snapshot." } - ] - } - ], - "episodes": [ + ], + "session_counts": { + "visible_events": 122, + "observed_images": 20, + "tool_errors": 4 + }, + "selected_for_formal_metrics": true, + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/" + }, { - "id": "task04-05-seed0-formal", - "task_key": "task04/05", + "id": "task04-24-seed0-formal", + "task_key": "task04/24", "family": "task04", - "slot": "05", + "slot": "24", "seed": 0, "episode": 1, "phase": "formal", @@ -3901,60 +10405,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 818, + "steps": 6895, "success": true, "termination": "success" }, - "steps": 818, + "steps": 6895, "simulation_time_s": null, - "wall_time_s": 474.89826, + "wall_time_s": 6105.168067, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pick up the mallet and strike all xylophone keys from left to right.", - "instruction": "Pick up the mallet and strike all xylophone keys from left to right.", - "instruction_policy": "original_native", + "native_instruction": "Pick up the key, hand it over to the other hand, insert it into the keyhole, then turn it.", + "instruction": "Pick up the key, hand it over to the other hand, and insert its blade fully into the keyhole with the handle above it. Keeping the key upright and seated, turn it clockwise by about 60 degrees from the keyhole's insertion orientation, as viewed from above.", + "instruction_policy": "modified", "usage": { + "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9453384625400734, - "cache_reported_input_tokens": 1397747, + "cache_hit_rate": 0.9920158514145233, + "cache_reported_input_tokens": 30834346, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 1397747, - "cached_input_tokens": 1321344, - "cli_error_events": 0, + "cache_write_reported_input_tokens": 30834346, + "cached_input_tokens": 30588160, "completed_turns": 1, "cost_usd": null, - "input_tokens": 1397747, + "failed_turns": 0, + "input_tokens": 30834346, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 1321344, - "known_input_tokens": 1397747, - "known_output_tokens": 9368, - "known_reasoning_output_tokens": 3221, - "output_tokens": 9368, - "reasoning_output_tokens": 3221, - "reasoning_reported_output_tokens": 9368, + "known_cached_input_tokens": 30588160, + "known_input_tokens": 30834346, + "known_output_tokens": 88978, + "known_reasoning_output_tokens": 58431, + "output_tokens": 88978, + "reasoning_output_tokens": 58431, + "reasoning_reported_output_tokens": 88978, "reported_responses": { - "cache_reported_input_tokens": 42, - "cache_write_input_tokens": 42, - "cache_write_reported_input_tokens": 42, - "cached_input_tokens": 42, - "input_tokens": 42, - "output_tokens": 42, - "reasoning_output_tokens": 42, - "reasoning_reported_output_tokens": 42 + "cache_reported_input_tokens": 284, + "cache_write_input_tokens": 284, + "cache_write_reported_input_tokens": 284, + "cached_input_tokens": 284, + "input_tokens": 284, + "output_tokens": 284, + "reasoning_output_tokens": 284, + "reasoning_reported_output_tokens": 284 }, - "response_count": 42, + "response_count": 284, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 76403, + "uncached_input_tokens": 246186, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 41, + "model_tool_calls": 283, "model_tool_calls_by_name": { - "exec": 41 + "exec": 283 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -3970,21 +10475,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 8.2, + "duration_s": 68.95, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 328, - "captured_samples": 328, + "accepted_samples": 2759, + "captured_samples": 2759, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 328, - "end_time_s": 32.71999999999948, + "encoded_frames": 2759, + "end_time_s": 275.7999999999935, "error": null, "experimental": true, "fps": 10, - "received_samples": 328, + "received_samples": 2759, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -4020,12 +10525,12 @@ "left_wrist", "right_wrist" ], - "sha256": "886425375b21b36f96b0ccca630df5ecca8c7fa74545ceb9a08fb5f74720cf1f", + "sha256": "33858388d5d9f42802a6cc8abaacf292071e0726ab83a85536f3fde3eddbedc3", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 818 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 6,895 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -4064,7 +10569,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "05-robodojo-play-xylophone-codex-seed0-attempt01", + "job": "24-robodojo-insert-key-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -4077,8 +10582,8 @@ "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { - "max_request_retries": null, - "configuration": "original Codex defaults; completed result retained", + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", @@ -4086,64 +10591,64 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "35c05e4e74b6a13f220c40daddc88aa06280c47ada586357c5bba90a220a8ec2", - "protocol_sha256": "6e8f773de082b048547d9d092a6e48aab2bbfa59b7bb0fab422bd78a958354b5" + "session_original_sha256": "3f0e761afc0361d14bf3eb9c429b6da6ba66f3ec1829ddac1d8215dc415bc4f5", + "protocol_sha256": "e21d3a817474cba6513493d9ccfe2fec68ee69d186cf329dcd7700bcd9cf21bb" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/resources/tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "tools/xylophone.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/resources/tools/xylophone.py", + "name": "tools/vision.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/resources/tools/vision.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/resources/memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 95, - "observed_images": 14, - "tool_errors": 4 + "visible_events": 595, + "observed_images": 166, + "tool_errors": 19 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/05/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/" }, { - "id": "task04-01-seed0-formal", - "task_key": "task04/01", + "id": "task04-25-seed0-formal", + "task_key": "task04/25", "family": "task04", - "slot": "01", + "slot": "25", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, - "native_reward": 0.5, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -4151,61 +10656,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 6884, + "steps": 2476, "success": false, "termination": "stopped" }, - "steps": 6884, + "steps": 2476, "simulation_time_s": null, - "wall_time_s": 2979.228092, + "wall_time_s": 1432.125486, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pick up two slices of bread, place them into the toaster, and press the lever down.", - "instruction": "Place two bread slices upright in the toaster, one per slot, leaving the other two on the rack. Press the lever down, then return both arms to their starting poses.", + "native_instruction": "Wait for the opponent to discard a tile, then declare a kong with the matching tiles.", + "instruction": "Wait with both arms at their starting poses until the opponent finishes discarding. Declare a kong by laying your three matching tiles face up, leaving the rest of your hand upright. Draw the top replacement tile from the nearer stack on your left, keeping it face down and parallel to your row, then stand it in the vacant place at the right end of your hand and release it.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9880169943603974, - "cache_reported_input_tokens": 13262282, + "cache_hit_rate": 0.9834388656524558, + "cache_reported_input_tokens": 4991204, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 13262282, - "cached_input_tokens": 13103360, + "cache_write_reported_input_tokens": 4991204, + "cached_input_tokens": 4908544, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 13262282, + "input_tokens": 4991204, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 13103360, - "known_input_tokens": 13262282, - "known_output_tokens": 42295, - "known_reasoning_output_tokens": 22555, - "output_tokens": 42295, - "reasoning_output_tokens": 22555, - "reasoning_reported_output_tokens": 42295, - "reported_responses": { - "cache_reported_input_tokens": 173, - "cache_write_input_tokens": 173, - "cache_write_reported_input_tokens": 173, - "cached_input_tokens": 173, - "input_tokens": 173, - "output_tokens": 173, - "reasoning_output_tokens": 173, - "reasoning_reported_output_tokens": 173 + "known_cached_input_tokens": 4908544, + "known_input_tokens": 4991204, + "known_output_tokens": 24592, + "known_reasoning_output_tokens": 12576, + "output_tokens": 24592, + "reasoning_output_tokens": 12576, + "reasoning_reported_output_tokens": 24592, + "reported_responses": { + "cache_reported_input_tokens": 92, + "cache_write_input_tokens": 92, + "cache_write_reported_input_tokens": 92, + "cached_input_tokens": 92, + "input_tokens": 92, + "output_tokens": 92, + "reasoning_output_tokens": 92, + "reasoning_reported_output_tokens": 92 }, - "response_count": 173, + "response_count": 92, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 158922, + "uncached_input_tokens": 82660, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 172, + "model_tool_calls": 91, "model_tool_calls_by_name": { - "exec": 172 + "exec": 91 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -4221,21 +10726,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 68.85, + "duration_s": 24.75, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 2755, - "captured_samples": 2755, + "accepted_samples": 992, + "captured_samples": 992, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 2754, - "end_time_s": 275.35999999999325, + "encoded_frames": 991, + "end_time_s": 99.04000000000428, "error": null, "experimental": true, "fps": 10, - "received_samples": 2755, + "received_samples": 992, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -4271,12 +10776,12 @@ "left_wrist", "right_wrist" ], - "sha256": "d41d9dfff8503e02484d73b64304f7f05b08f366156b969d5d4b32e55af35375", + "sha256": "5a7054d51b66c5a20ebc49a1a8f215946d072d83d0466c36c87e2c2688c63b42", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 6,884 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "duration": "\u4f7f\u7528 2,476 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, @@ -4316,8 +10821,8 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "01-robodojo-make-toast-codex-seed0-attempt02", - "attempt": 2, + "job": "25-robodojo-make-kong-codex-seed0-attempt01", + "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", @@ -4338,53 +10843,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "44c8a75c20315659d3feda7076c1d792afbfb94f31f1521511ac8d21ae32e78e", - "protocol_sha256": "558b51d6786cd5ba0a989f7b2b872a3e37424dda668128a679113df86f67e43d" + "session_original_sha256": "582f758b68dbf9ec564b43b177768a2188f2669bd349cf965a7a2ea12f090e85", + "protocol_sha256": "1fc4df2b6175d238be961281622ba215bef1bcdb21ea23cbe6f10a9795467980" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/arx.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/resources/tools/arx.py", + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo-arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/resources/memos/robodojo-arx.md", + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 370, - "observed_images": 76, - "tool_errors": 6 + "visible_events": 200, + "observed_images": 33, + "tool_errors": 4 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/01/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/" }, { - "id": "task04-02-seed0-formal", - "task_key": "task04/02", + "id": "task04-27-seed0-formal", + "task_key": "task04/27", "family": "task04", - "slot": "02", + "slot": "27", "seed": 0, "episode": 1, "phase": "formal", @@ -4398,60 +10903,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 1642, + "steps": 484, "success": true, "termination": "success" }, - "steps": 1642, + "steps": 484, "simulation_time_s": null, - "wall_time_s": 677.076593, + "wall_time_s": 314.65821, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Put car objects into the left basket, watch objects into the middle basket, and wooden_toy objects into the right basket, then reset the robot arm.", - "instruction": "Put car objects into the left basket, watch objects into the middle basket, and wooden_toy objects into the right basket, then reset the robot arm.", + "native_instruction": "Remember the first object on the conveyor, then pick the matching object when it appears again.", + "instruction": "Remember the first object on the conveyor, then pick the matching object when it appears again.", "instruction_policy": "original_native", "usage": { + "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9587609639851788, - "cache_reported_input_tokens": 1667619, + "cache_hit_rate": 0.9657021376219193, + "cache_reported_input_tokens": 1059308, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 1667619, - "cached_input_tokens": 1598848, - "cli_error_events": 0, + "cache_write_reported_input_tokens": 1059308, + "cached_input_tokens": 1022976, "completed_turns": 1, "cost_usd": null, - "input_tokens": 1667619, + "failed_turns": 0, + "input_tokens": 1059308, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 1598848, - "known_input_tokens": 1667619, - "known_output_tokens": 9371, - "known_reasoning_output_tokens": 2154, - "output_tokens": 9371, - "reasoning_output_tokens": 2154, - "reasoning_reported_output_tokens": 9371, + "known_cached_input_tokens": 1022976, + "known_input_tokens": 1059308, + "known_output_tokens": 5961, + "known_reasoning_output_tokens": 1266, + "output_tokens": 5961, + "reasoning_output_tokens": 1266, + "reasoning_reported_output_tokens": 5961, "reported_responses": { - "cache_reported_input_tokens": 47, - "cache_write_input_tokens": 47, - "cache_write_reported_input_tokens": 47, - "cached_input_tokens": 47, - "input_tokens": 47, - "output_tokens": 47, - "reasoning_output_tokens": 47, - "reasoning_reported_output_tokens": 47 + "cache_reported_input_tokens": 34, + "cache_write_input_tokens": 34, + "cache_write_reported_input_tokens": 34, + "cached_input_tokens": 34, + "input_tokens": 34, + "output_tokens": 34, + "reasoning_output_tokens": 34, + "reasoning_reported_output_tokens": 34 }, - "response_count": 47, + "response_count": 34, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 68771, + "uncached_input_tokens": 36332, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 46, + "model_tool_calls": 33, "model_tool_calls_by_name": { - "exec": 46 + "exec": 33 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -4467,21 +10973,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 16.4, + "duration_s": 4.85, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 658, - "captured_samples": 658, + "accepted_samples": 195, + "captured_samples": 195, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 657, - "end_time_s": 65.67999999999907, + "encoded_frames": 194, + "end_time_s": 19.359999999999765, "error": null, "experimental": true, "fps": 10, - "received_samples": 658, + "received_samples": 195, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -4517,12 +11023,12 @@ "left_wrist", "right_wrist" ], - "sha256": "d2cc80d1717aad863e7fd683f518d68db4444e678ce09f4fac1da1d6acd9a061", + "sha256": "60d25b2c13bced27c981d498b8b5bbbdb69eed3765a49e79d191b422ce7f5883", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 1,642 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 484 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -4561,7 +11067,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "02-robodojo-classify-objects-by-language-codex-seed0-attempt01", + "job": "27-robodojo-match-and-pick-from-conveyor-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -4574,8 +11080,8 @@ "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { - "max_request_retries": null, - "configuration": "original Codex defaults; completed result retained", + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", @@ -4583,59 +11089,59 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "27f2147aa3fca47f9366fbb8b04743dc91a21da1a7cb37e898b7fb255327bcdc", - "protocol_sha256": "3af4e8c103ad2c73d236f4fa8afce82c78df7a6d0f34c6e7c4664d7a9b7ba30f" + "session_original_sha256": "1817741b18e5d58c4d9b0703d89631df097eeb8c42da1105db405edf09674a53", + "protocol_sha256": "4c9a990682a0a89bb584861b32a8cfe09170766f00e78e5e9a92588d42764808" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/manipulate.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/resources/tools/manipulate.py", + "name": "tools/conveyor.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/resources/tools/conveyor.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo-arx-x5.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/resources/memos/robodojo-arx-x5.md", + "name": "memos/conveyor.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/resources/memos/conveyor.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 106, + "visible_events": 76, "observed_images": 18, - "tool_errors": 3 + "tool_errors": 4 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/02/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/" }, { - "id": "task04-03-seed0-formal", - "task_key": "task04/03", + "id": "task04-28-seed0-formal", + "task_key": "task04/28", "family": "task04", - "slot": "03", + "slot": "28", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, - "native_reward": 0.0, + "native_reward": 0.75, "valid": true, "execution": { "reason": null, @@ -4643,61 +11149,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 5696, + "steps": 4143, "success": false, "termination": "stopped" }, - "steps": 5696, + "steps": 4143, "simulation_time_s": null, - "wall_time_s": 3731.88979, + "wall_time_s": 2081.067517, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Hang the headphones on the headphone stand, close the laptop, then place it into the vertical laptop stand.", - "instruction": "Hang the headphones by the middle of their headband, aligned with the stand cradle so both earcups hang evenly below it. Close the laptop fully and seat it upright in its vertical stand. Release both objects and return both arms to their starting poses.", + "native_instruction": "Place the alarm clock on the drawer, put the figurine on the stand, place the mouse on the mouse pad, and push the keyboard into the frame.", + "instruction": "Place the alarm clock upright on top of the drawer unit and stand the figurine upright at the center of its small stand. Place the mouse flat on the mouse pad in its normal working orientation, with its front pointing toward the monitor. Push the keyboard flat into the outlined frame, aligned with the frame and facing the robot. Let all four objects settle, release them, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9712139156884596, - "cache_reported_input_tokens": 18189657, + "cache_hit_rate": 0.9848270419416297, + "cache_reported_input_tokens": 6791820, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 18189657, - "cached_input_tokens": 17666048, + "cache_write_reported_input_tokens": 6791820, + "cached_input_tokens": 6688768, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 18189657, + "input_tokens": 6791820, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 17666048, - "known_input_tokens": 18189657, - "known_output_tokens": 45612, - "known_reasoning_output_tokens": 24134, - "output_tokens": 45612, - "reasoning_output_tokens": 24134, - "reasoning_reported_output_tokens": 45612, + "known_cached_input_tokens": 6688768, + "known_input_tokens": 6791820, + "known_output_tokens": 30892, + "known_reasoning_output_tokens": 16263, + "output_tokens": 30892, + "reasoning_output_tokens": 16263, + "reasoning_reported_output_tokens": 30892, "reported_responses": { - "cache_reported_input_tokens": 217, - "cache_write_input_tokens": 217, - "cache_write_reported_input_tokens": 217, - "cached_input_tokens": 217, - "input_tokens": 217, - "output_tokens": 217, - "reasoning_output_tokens": 217, - "reasoning_reported_output_tokens": 217 + "cache_reported_input_tokens": 114, + "cache_write_input_tokens": 114, + "cache_write_reported_input_tokens": 114, + "cached_input_tokens": 114, + "input_tokens": 114, + "output_tokens": 114, + "reasoning_output_tokens": 114, + "reasoning_reported_output_tokens": 114 }, - "response_count": 217, + "response_count": 114, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 523609, + "uncached_input_tokens": 103052, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 216, + "model_tool_calls": 113, "model_tool_calls_by_name": { - "exec": 216 + "exec": 113 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -4713,21 +11219,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 56.95, + "duration_s": 41.45, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 2280, - "captured_samples": 2280, + "accepted_samples": 1658, + "captured_samples": 1658, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 2279, - "end_time_s": 227.83999999998895, + "encoded_frames": 1658, + "end_time_s": 165.7200000000013, "error": null, "experimental": true, "fps": 10, - "received_samples": 2280, + "received_samples": 1658, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -4763,12 +11269,12 @@ "left_wrist", "right_wrist" ], - "sha256": "244a01435774684a435daf0ebc3858c5c750e36b4617039ed3e4ffc7e54f9093", + "sha256": "9f04386472a5b79b4fc4b6e4144f05536bb036fc6590fc3d1e0361b8c4e9ceef", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 5,696 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "duration": "\u4f7f\u7528 4,143 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, @@ -4808,7 +11314,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "03-robodojo-store-laptop-and-headphones-codex-seed0-attempt01", + "job": "28-robodojo-organize-table-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -4821,8 +11327,8 @@ "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { - "max_request_retries": null, - "configuration": "original Codex defaults; completed result retained", + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", @@ -4830,53 +11336,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "a7d435164afd78e6885e362c2f73d6794311358e6da05c467f520559bd3bdcd1", - "protocol_sha256": "1ede5afa307a8048edacac6c0bed72eba2d894ed61887aefbaf2cd0cdbf903d5" + "session_original_sha256": "c72f4e17aad1bdc734a34ea7be9baea970ad0daefaa068b1f075ce3594d580b4", + "protocol_sha256": "5547f2ca84e4a90c7e8d6f7972573843c4cf5c907cf296c4d9cbd5a83caec610" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/resources/tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo_manipulation.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/resources/memos/robodojo_manipulation.md", + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 456, - "observed_images": 81, - "tool_errors": 8 + "visible_events": 251, + "observed_images": 60, + "tool_errors": 7 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/03/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/" }, { - "id": "task04-04-seed0-formal", - "task_key": "task04/04", + "id": "task04-29-seed0-formal", + "task_key": "task04/29", "family": "task04", - "slot": "04", + "slot": "29", "seed": 0, "episode": 1, "phase": "formal", @@ -4890,61 +11396,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 2184, + "steps": 6433, "success": true, "termination": "success" }, - "steps": 2184, + "steps": 6433, "simulation_time_s": null, - "wall_time_s": 870.408397, + "wall_time_s": 2657.323509, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Cover the blocks from left to right, remember their colors, then uncover them in the order: red, green, and blue.", - "instruction": "Use the three cups to cover the blocks one at a time, from left to right. Remember the block colors. Once all three are covered, uncover them one at a time in this order: red, green, blue. Keep every cup upside down throughout, leave the blocks in their original positions, and return both arms to their starting poses when finished.", + "native_instruction": "Place all the objects into the box with their front sides facing left.", + "instruction": "Place all four objects inside the bottom of the box, with their front sides facing left from the robot's viewpoint and their lengths aligned along the box. Keep the box upright with its long sides running left to right across the table. Release the objects and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.974152547857263, - "cache_reported_input_tokens": 2163308, + "cache_hit_rate": 0.985806960138145, + "cache_reported_input_tokens": 12341824, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 2163308, - "cached_input_tokens": 2107392, + "cache_write_reported_input_tokens": 12341824, + "cached_input_tokens": 12166656, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 2163308, + "input_tokens": 12341824, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 2107392, - "known_input_tokens": 2163308, - "known_output_tokens": 9584, - "known_reasoning_output_tokens": 2048, - "output_tokens": 9584, - "reasoning_output_tokens": 2048, - "reasoning_reported_output_tokens": 9584, + "known_cached_input_tokens": 12166656, + "known_input_tokens": 12341824, + "known_output_tokens": 39288, + "known_reasoning_output_tokens": 20764, + "output_tokens": 39288, + "reasoning_output_tokens": 20764, + "reasoning_reported_output_tokens": 39288, "reported_responses": { - "cache_reported_input_tokens": 59, - "cache_write_input_tokens": 59, - "cache_write_reported_input_tokens": 59, - "cached_input_tokens": 59, - "input_tokens": 59, - "output_tokens": 59, - "reasoning_output_tokens": 59, - "reasoning_reported_output_tokens": 59 + "cache_reported_input_tokens": 172, + "cache_write_input_tokens": 172, + "cache_write_reported_input_tokens": 172, + "cached_input_tokens": 172, + "input_tokens": 172, + "output_tokens": 172, + "reasoning_output_tokens": 172, + "reasoning_reported_output_tokens": 172 }, - "response_count": 59, + "response_count": 172, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 55916, + "uncached_input_tokens": 175168, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 58, + "model_tool_calls": 171, "model_tool_calls_by_name": { - "exec": 58 + "exec": 171 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -4960,21 +11466,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 21.85, + "duration_s": 64.35, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 875, - "captured_samples": 875, + "accepted_samples": 2574, + "captured_samples": 2574, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 874, - "end_time_s": 87.36000000000246, + "encoded_frames": 2574, + "end_time_s": 257.319999999984, "error": null, "experimental": true, "fps": 10, - "received_samples": 875, + "received_samples": 2574, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -5010,12 +11516,12 @@ "left_wrist", "right_wrist" ], - "sha256": "187eb49923031bc169e94d8a3ee4afb56b326324114edcc4b747dc65e0d769a2", + "sha256": "8b4d310b6dc63abb0100121b03fe18a0b07a44a2a63f6df843064e356fb18898", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 2,184 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 6,433 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -5054,7 +11560,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "04-robodojo-cover-blocks-codex-seed0-attempt01", + "job": "29-robodojo-pack-objects-into-box-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -5067,8 +11573,8 @@ "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { - "max_request_retries": null, - "configuration": "original Codex defaults; completed result retained", + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", @@ -5076,53 +11582,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "ba485cb40c00fc13c4cc2d3a9099ed481de3c8f5b4fc4491fa2cfc9bf3cb7720", - "protocol_sha256": "f82ccffd492114e7545cc0020de438e9656e0206bbec42d7b35a87b1ac2969a4" + "session_original_sha256": "a310e18ccc4536315f21afc01221789490558fff6e3c316dc38c7fafeeaca76b", + "protocol_sha256": "d344c9afa60711fa33950eb1a8cfc805ff7c78c5ad9b476e4f3f524638f5980c" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/arx_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/resources/tools/arx_control.py", + "name": "tools/arm_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/resources/tools/arm_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo_arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/resources/memos/robodojo_arx.md", + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 130, - "observed_images": 17, - "tool_errors": 4 + "visible_events": 371, + "observed_images": 56, + "tool_errors": 9 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/04/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/" }, { - "id": "task04-06-seed0-formal", - "task_key": "task04/06", + "id": "task04-31-seed0-formal", + "task_key": "task04/31", "family": "task04", - "slot": "06", + "slot": "31", "seed": 0, "episode": 1, "phase": "formal", @@ -5136,61 +11642,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 7421, + "steps": 863, "success": false, "termination": "stopped" }, - "steps": 7421, + "steps": 863, "simulation_time_s": null, - "wall_time_s": 3752.161363, + "wall_time_s": 1296.406492, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Place each tool into its matching position in the toolbox, then reset the robot arm.", - "instruction": "Place each tool flat in its matching shaped recess, aligned with the outline and fully below the toolbox rim. Release all tools and return both arms to their starting poses.", + "native_instruction": "Lift the basket more than 8 cm, identify the target object on the conveyor according to the image on the board, pick it up, and place it into the basket.", + "instruction": "Identify the target object on the conveyor from the image on the board. Lift and hold the basket more than 8 cm above its starting height, then pick up the matching object and place it down inside the basket. Keep the basket raised, with the object resting at its bottom and more than 8 cm above its original height.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9886906039946509, - "cache_reported_input_tokens": 15593052, + "cache_hit_rate": 0.9752413698477898, + "cache_reported_input_tokens": 3797181, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 15593052, - "cached_input_tokens": 15416704, + "cache_write_reported_input_tokens": 3797181, + "cached_input_tokens": 3703168, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 15593052, + "input_tokens": 3797181, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 15416704, - "known_input_tokens": 15593052, - "known_output_tokens": 57648, - "known_reasoning_output_tokens": 36726, - "output_tokens": 57648, - "reasoning_output_tokens": 36726, - "reasoning_reported_output_tokens": 57648, + "known_cached_input_tokens": 3703168, + "known_input_tokens": 3797181, + "known_output_tokens": 23800, + "known_reasoning_output_tokens": 11319, + "output_tokens": 23800, + "reasoning_output_tokens": 11319, + "reasoning_reported_output_tokens": 23800, "reported_responses": { - "cache_reported_input_tokens": 207, - "cache_write_input_tokens": 207, - "cache_write_reported_input_tokens": 207, - "cached_input_tokens": 207, - "input_tokens": 207, - "output_tokens": 207, - "reasoning_output_tokens": 207, - "reasoning_reported_output_tokens": 207 + "cache_reported_input_tokens": 65, + "cache_write_input_tokens": 65, + "cache_write_reported_input_tokens": 65, + "cached_input_tokens": 65, + "input_tokens": 65, + "output_tokens": 65, + "reasoning_output_tokens": 65, + "reasoning_reported_output_tokens": 65 }, - "response_count": 207, + "response_count": 65, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 176348, + "uncached_input_tokens": 94013, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 206, + "model_tool_calls": 64, "model_tool_calls_by_name": { - "exec": 206 + "exec": 64 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -5206,21 +11712,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 74.2, + "duration_s": 8.65, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 2970, - "captured_samples": 2970, + "accepted_samples": 346, + "captured_samples": 346, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 2969, - "end_time_s": 296.84000000000424, + "encoded_frames": 346, + "end_time_s": 34.51999999999944, "error": null, "experimental": true, "fps": 10, - "received_samples": 2970, + "received_samples": 346, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -5256,12 +11762,12 @@ "left_wrist", "right_wrist" ], - "sha256": "9b05b8721f8a9ba6d50bca1e31c826d2b9e93eededd97f9294ef08410fb4b320", + "sha256": "885151826ea1b79abd7772d71bb25c1fe86d2f09dcfddd47938e6381c5fbe6de", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 7,421 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "duration": "\u4f7f\u7528 863 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, @@ -5301,7 +11807,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "06-robodojo-store-tools-in-toolbox-codex-seed0-attempt01", + "job": "31-robodojo-pick-from-conveyor-by-image-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -5314,8 +11820,8 @@ "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { - "max_request_retries": null, - "configuration": "original Codex defaults; completed result retained", + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", @@ -5323,64 +11829,59 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "44e662500fec84bba99856f9ce573276e3141bb32a472f4245d02b75eaff70f2", - "protocol_sha256": "fa5ac36c9b8059eb095876d7da44d3a1fcdb68df35a6ef72c3800d96d5292357" + "session_original_sha256": "aa769c4c945fa18e304b7d4d5d8c9c603afb75f438dc03b941fd4b9eb08f7fe0", + "protocol_sha256": "9ce80cb246bf47f91aa2889530d7ef56aa5498f223bbd77c69f483653254c63d" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/resources/tools/robot.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "skills/robodojo-arx-manipulation/SKILL.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/resources/skills/robodojo-arx-manipulation/SKILL.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo-arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/resources/memos/robodojo-arx.md", + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 453, - "observed_images": 61, + "visible_events": 141, + "observed_images": 78, "tool_errors": 7 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/06/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/" }, { - "id": "task04-07-seed0-formal", - "task_key": "task04/07", + "id": "task04-32-seed0-formal", + "task_key": "task04/32", "family": "task04", - "slot": "07", + "slot": "32", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, - "native_reward": 1.0, + "native_reward": 0.75, "valid": true, "execution": { "reason": null, @@ -5388,61 +11889,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 4162, + "steps": 2665, "success": true, "termination": "success" }, - "steps": 4162, + "steps": 2665, "simulation_time_s": null, - "wall_time_s": 2428.860172, + "wall_time_s": 1171.199711, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Insert the three tubes into the rack one by one.", - "instruction": "Insert the three tubes upright into the rack one by one, pointed ends down, until they are fully seated. Release them and return both arms to their starting poses.", + "native_instruction": "Play tic-tac-toe as the first player and fill the board with the opponent.", + "instruction": "Take the first turn and alternate with the opponent until the tic-tac-toe board is full, placing one ring flat in an empty cell on each turn. After each move, release the piece and return both arms to their starting poses, waiting there until the opponent finishes its move.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9885433078393561, - "cache_reported_input_tokens": 11924908, + "cache_hit_rate": 0.9808588531628272, + "cache_reported_input_tokens": 3137952, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 11924908, - "cached_input_tokens": 11788288, + "cache_write_reported_input_tokens": 3137952, + "cached_input_tokens": 3077888, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 11924908, + "input_tokens": 3137952, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 11788288, - "known_input_tokens": 11924908, - "known_output_tokens": 45245, - "known_reasoning_output_tokens": 23793, - "output_tokens": 45245, - "reasoning_output_tokens": 23793, - "reasoning_reported_output_tokens": 45245, + "known_cached_input_tokens": 3077888, + "known_input_tokens": 3137952, + "known_output_tokens": 12655, + "known_reasoning_output_tokens": 2990, + "output_tokens": 12655, + "reasoning_output_tokens": 2990, + "reasoning_reported_output_tokens": 12655, "reported_responses": { - "cache_reported_input_tokens": 168, - "cache_write_input_tokens": 168, - "cache_write_reported_input_tokens": 168, - "cached_input_tokens": 168, - "input_tokens": 168, - "output_tokens": 168, - "reasoning_output_tokens": 168, - "reasoning_reported_output_tokens": 168 + "cache_reported_input_tokens": 76, + "cache_write_input_tokens": 76, + "cache_write_reported_input_tokens": 76, + "cached_input_tokens": 76, + "input_tokens": 76, + "output_tokens": 76, + "reasoning_output_tokens": 76, + "reasoning_reported_output_tokens": 76 }, - "response_count": 168, + "response_count": 76, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 136620, + "uncached_input_tokens": 60064, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 167, + "model_tool_calls": 75, "model_tool_calls_by_name": { - "exec": 167 + "exec": 75 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -5458,21 +11959,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 41.6, + "duration_s": 26.65, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1666, - "captured_samples": 1666, + "accepted_samples": 1067, + "captured_samples": 1067, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 1665, - "end_time_s": 166.48000000000116, + "encoded_frames": 1067, + "end_time_s": 106.60000000000547, "error": null, "experimental": true, "fps": 10, - "received_samples": 1666, + "received_samples": 1067, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -5508,12 +12009,12 @@ "left_wrist", "right_wrist" ], - "sha256": "0eceba672ce4ecdeea98aa372cce1c4d7dd69cf118c2766b39ad4fee0204a3fb", + "sha256": "23c68283f64bbac7ac760c388d76532ee8f7bb326ab8191d186229424eb4bed8", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 4,162 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 2,665 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -5552,8 +12053,8 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "07-robodojo-insert-tubes-codex-seed0-attempt02", - "attempt": 2, + "job": "32-robodojo-play-tic-tac-toe-codex-seed0-attempt01", + "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", @@ -5569,63 +12070,63 @@ "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, - "classification": "formal", - "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" - }, - "session_original_sha256": "dced20541deac3be24265775d5b357aadecb6b53ad8b991fbf38cfcb1a690cfd", - "protocol_sha256": "331cfc33f7aa656ce04ffa0d8e7927d625ea36dd825616041760649c239cee4b" - }, - "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/media-validation.json" + "classification": "formal", + "measured_images": { + "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "69f372f7532694f03c2a023bbb440b521596d52fb31d11a31cdda8d4184aeb4b", + "protocol_sha256": "00eed76b0a0f2e74c99ae3f70a20940787ab4c6232c63f6d71e5834abb43b1df" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/resources/tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "tools/tubes.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/resources/tools/tubes.py", + "name": "tools/tic_tac_toe.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/resources/tools/tic_tac_toe.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/insert-tubes.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/resources/memos/insert-tubes.md", + "name": "memos/robodojo-tic-tac-toe.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/resources/memos/robodojo-tic-tac-toe.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 362, - "observed_images": 84, - "tool_errors": 4 + "visible_events": 175, + "observed_images": 19, + "tool_errors": 3 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/07/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/" }, { - "id": "task04-08-seed0-formal", - "task_key": "task04/08", + "id": "task04-33-seed0-formal", + "task_key": "task04/33", "family": "task04", - "slot": "08", + "slot": "33", "seed": 0, "episode": 1, "phase": "formal", @@ -5639,60 +12140,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 1432, + "steps": 964, "success": true, "termination": "success" }, - "steps": 1432, + "steps": 964, "simulation_time_s": null, - "wall_time_s": 910.698324, + "wall_time_s": 596.447968, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pick up the coin from the holder and insert it precisely into the coin bank.", - "instruction": "Pick up the coin from its holder and deposit it through the slot of the coin bank. Let the coin fall fully inside the bank, then return both arms to their starting poses.", + "native_instruction": "Plug the charger into the power strip.", + "instruction": "Plug the charger fully into a socket on the power strip, then release it and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { + "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.969718938267589, - "cache_reported_input_tokens": 2957393, + "cache_hit_rate": 0.9748734468476761, + "cache_reported_input_tokens": 2129540, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 2957393, - "cached_input_tokens": 2867840, - "cli_error_events": 0, + "cache_write_reported_input_tokens": 2129540, + "cached_input_tokens": 2076032, "completed_turns": 1, "cost_usd": null, - "input_tokens": 2957393, + "failed_turns": 0, + "input_tokens": 2129540, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 2867840, - "known_input_tokens": 2957393, - "known_output_tokens": 15930, - "known_reasoning_output_tokens": 6814, - "output_tokens": 15930, - "reasoning_output_tokens": 6814, - "reasoning_reported_output_tokens": 15930, + "known_cached_input_tokens": 2076032, + "known_input_tokens": 2129540, + "known_output_tokens": 9894, + "known_reasoning_output_tokens": 3027, + "output_tokens": 9894, + "reasoning_output_tokens": 3027, + "reasoning_reported_output_tokens": 9894, "reported_responses": { - "cache_reported_input_tokens": 69, - "cache_write_input_tokens": 69, - "cache_write_reported_input_tokens": 69, - "cached_input_tokens": 69, - "input_tokens": 69, - "output_tokens": 69, - "reasoning_output_tokens": 69, - "reasoning_reported_output_tokens": 69 + "cache_reported_input_tokens": 51, + "cache_write_input_tokens": 51, + "cache_write_reported_input_tokens": 51, + "cached_input_tokens": 51, + "input_tokens": 51, + "output_tokens": 51, + "reasoning_output_tokens": 51, + "reasoning_reported_output_tokens": 51 }, - "response_count": 69, + "response_count": 51, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 89553, + "uncached_input_tokens": 53508, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 68, + "model_tool_calls": 50, "model_tool_calls_by_name": { - "exec": 68 + "exec": 50 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -5708,21 +12210,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 14.3, + "duration_s": 9.65, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 574, - "captured_samples": 574, + "accepted_samples": 387, + "captured_samples": 387, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 573, - "end_time_s": 57.27999999999896, + "encoded_frames": 386, + "end_time_s": 38.559999999999356, "error": null, "experimental": true, "fps": 10, - "received_samples": 574, + "received_samples": 387, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -5758,12 +12260,12 @@ "left_wrist", "right_wrist" ], - "sha256": "cb24a4ce2ea19e647f2c67606f98d2cbf886b855b493fc7f7bc9262aff986477", + "sha256": "7940de8cadc0eda4f274e349f87d147dd0925847c2591f649c0aea488de67656", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 1,432 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 964 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -5802,7 +12304,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "08-robodojo-deposit-coin-codex-seed0-attempt01", + "job": "33-robodojo-plug-in-charger-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -5815,8 +12317,8 @@ "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { - "max_request_retries": null, - "configuration": "original Codex defaults; completed result retained", + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", @@ -5824,53 +12326,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "6646988c7b86b850f5e65a3ed8ef9567c55a3ab54dbacfcd4fc3e768d48600dc", - "protocol_sha256": "a5257eeb791b38dc956b69d4b7720388b44fff6d4ebee9de4202fec62c582203" + "session_original_sha256": "b15191e10205ded361e224d2fd269313e7eb8b9632e01a4914c3d61ad2f5927f", + "protocol_sha256": "3ad1206a40141e1e795d8afd438e9e3d126c9c09ac4c8c256bb2fcb5970c2411" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/resources/tools/arx.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/resources/tools/arx.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/resources/memos/robodojo-arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/resources/memos/robodojo-arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 151, - "observed_images": 35, - "tool_errors": 3 + "visible_events": 114, + "observed_images": 25, + "tool_errors": 5 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/08/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/" }, { - "id": "task04-09-seed0-formal", - "task_key": "task04/09", + "id": "task04-34-seed0-formal", + "task_key": "task04/34", "family": "task04", - "slot": "09", + "slot": "34", "seed": 0, "episode": 1, "phase": "formal", @@ -5884,61 +12386,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 7340, + "steps": 5938, "success": true, "termination": "success" }, - "steps": 7340, + "steps": 5938, "simulation_time_s": null, - "wall_time_s": 2222.863393, + "wall_time_s": 2498.288071, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Insert and tighten each screw into the nut of the same color.", - "instruction": "Fit each nut upright onto the bolt of the same color and seat it fully. Release the nuts, fully open both grippers, and return both arms to their starting poses.", + "native_instruction": "Pour all the balls from the cup into the vase.", + "instruction": "Pour all seven balls from the cup into the vase. Leave every ball inside the vase, put the empty cup down upright, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9835530486386026, - "cache_reported_input_tokens": 5986459, + "cache_hit_rate": 0.987984877004603, + "cache_reported_input_tokens": 10284206, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 5986459, - "cached_input_tokens": 5888000, + "cache_write_reported_input_tokens": 10284206, + "cached_input_tokens": 10160640, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 5986459, + "input_tokens": 10284206, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 5888000, - "known_input_tokens": 5986459, - "known_output_tokens": 23452, - "known_reasoning_output_tokens": 10788, - "output_tokens": 23452, - "reasoning_output_tokens": 10788, - "reasoning_reported_output_tokens": 23452, + "known_cached_input_tokens": 10160640, + "known_input_tokens": 10284206, + "known_output_tokens": 35628, + "known_reasoning_output_tokens": 14913, + "output_tokens": 35628, + "reasoning_output_tokens": 14913, + "reasoning_reported_output_tokens": 35628, "reported_responses": { - "cache_reported_input_tokens": 102, - "cache_write_input_tokens": 102, - "cache_write_reported_input_tokens": 102, - "cached_input_tokens": 102, - "input_tokens": 102, - "output_tokens": 102, - "reasoning_output_tokens": 102, - "reasoning_reported_output_tokens": 102 + "cache_reported_input_tokens": 149, + "cache_write_input_tokens": 149, + "cache_write_reported_input_tokens": 149, + "cached_input_tokens": 149, + "input_tokens": 149, + "output_tokens": 149, + "reasoning_output_tokens": 149, + "reasoning_reported_output_tokens": 149 }, - "response_count": 102, + "response_count": 149, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 98459, + "uncached_input_tokens": 123566, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 101, + "model_tool_calls": 148, "model_tool_calls_by_name": { - "exec": 101 + "exec": 148 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -5954,21 +12456,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 73.4, + "duration_s": 59.4, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 2937, - "captured_samples": 2937, + "accepted_samples": 2376, + "captured_samples": 2376, "clock": "simulation", - "dropped_samples": 0, - "encoded_frames": 2937, - "end_time_s": 293.6000000000026, + "dropped_samples": 0, + "encoded_frames": 2376, + "end_time_s": 237.51999999998702, "error": null, "experimental": true, "fps": 10, - "received_samples": 2937, + "received_samples": 2376, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -6004,12 +12506,12 @@ "left_wrist", "right_wrist" ], - "sha256": "a8697d4f957fe6a2a66e87eb3c4997d6950eee33a083feb21b1b8e390a5904d1", + "sha256": "9dd792f2a52359231fe3cb3e738ba709a064dba363bed4ee65db31401af9391a", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 7,340 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 5,938 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -6048,7 +12550,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "09-robodojo-fasten-screws-codex-seed0-attempt01", + "job": "34-robodojo-pour-balls-into-vase-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -6070,69 +12572,59 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "7d0d25b922a0b9c4b5f5d1aed6a177a2ab18c354b1b5f0b46e6c6893bd41122a", - "protocol_sha256": "3ef339de3038dcc6f878291f55e69c8bdfa168ab01175b93c61087d631f4cd43" + "session_original_sha256": "176d087554e882bcab801bc31a9300c31ba286aac43f5d9d559258cd18a4f933", + "protocol_sha256": "9b55de7e87971566acdb0c291a2500699e8a0a888faf6e71d4ce3fff56b5480b" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/arx.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/resources/tools/arx.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/thread.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/resources/tools/thread.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/vision.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/resources/tools/vision.py", + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/fasten-screws.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/resources/memos/fasten-screws.md", + "name": "memos/pour_balls.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/resources/memos/pour_balls.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 239, - "observed_images": 46, - "tool_errors": 4 + "visible_events": 322, + "observed_images": 75, + "tool_errors": 3 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/09/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/" }, { - "id": "task04-10-seed0-formal", - "task_key": "task04/10", + "id": "task04-35-seed0-formal", + "task_key": "task04/35", "family": "task04", - "slot": "10", + "slot": "35", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": true, - "native_reward": 1.0, + "success": false, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -6140,61 +12632,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 2460, - "success": true, - "termination": "success" + "steps": 1616, + "success": false, + "termination": "stopped" }, - "steps": 2460, + "steps": 1616, "simulation_time_s": null, - "wall_time_s": 1359.75979, + "wall_time_s": 834.470016, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Place all stacking toy pieces onto the correct pegs.", - "instruction": "Place all stacking toy pieces onto their matching pegs, with the pieces neatly stacked and fully seated, then release them and return both arms to their starting poses.", - "instruction_policy": "modified", + "native_instruction": "Pour the liquid from the first violet bottle into the first black bowl, from the second red bottle into the second white bowl, and from the third turquoise bottle into the third brown bowl. Then reset the robot arm.", + "instruction": "Pour the liquid from the first violet bottle into the first black bowl, from the second red bottle into the second white bowl, and from the third turquoise bottle into the third brown bowl. Then reset the robot arm.", + "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9826687858661154, - "cache_reported_input_tokens": 4468354, + "cache_hit_rate": 0.9667383369019035, + "cache_reported_input_tokens": 2677076, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 4468354, - "cached_input_tokens": 4390912, + "cache_write_reported_input_tokens": 2677076, + "cached_input_tokens": 2588032, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 4468354, + "input_tokens": 2677076, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 4390912, - "known_input_tokens": 4468354, - "known_output_tokens": 20623, - "known_reasoning_output_tokens": 8390, - "output_tokens": 20623, - "reasoning_output_tokens": 8390, - "reasoning_reported_output_tokens": 20623, + "known_cached_input_tokens": 2588032, + "known_input_tokens": 2677076, + "known_output_tokens": 11360, + "known_reasoning_output_tokens": 3492, + "output_tokens": 11360, + "reasoning_output_tokens": 3492, + "reasoning_reported_output_tokens": 11360, "reported_responses": { - "cache_reported_input_tokens": 92, - "cache_write_input_tokens": 92, - "cache_write_reported_input_tokens": 92, - "cached_input_tokens": 92, - "input_tokens": 92, - "output_tokens": 92, - "reasoning_output_tokens": 92, - "reasoning_reported_output_tokens": 92 + "cache_reported_input_tokens": 69, + "cache_write_input_tokens": 69, + "cache_write_reported_input_tokens": 69, + "cached_input_tokens": 69, + "input_tokens": 69, + "output_tokens": 69, + "reasoning_output_tokens": 69, + "reasoning_reported_output_tokens": 69 }, - "response_count": 92, + "response_count": 69, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 77442, + "uncached_input_tokens": 89044, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 91, + "model_tool_calls": 68, "model_tool_calls_by_name": { - "exec": 91 + "exec": 68 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -6210,21 +12702,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 24.6, + "duration_s": 16.15, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 985, - "captured_samples": 985, + "accepted_samples": 648, + "captured_samples": 648, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 985, - "end_time_s": 98.40000000000418, + "encoded_frames": 647, + "end_time_s": 64.6399999999989, "error": null, "experimental": true, "fps": 10, - "received_samples": 985, + "received_samples": 648, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -6260,13 +12752,14 @@ "left_wrist", "right_wrist" ], - "sha256": "f33410f408ea216ab16e5e5b63ef1401675bed937cda72452a50e74f0c7e6110", + "sha256": "207a29db68023f38d3e81e5c185ee358ef76f4dd8482e610e43b1fdc41d39da7", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 2,460 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 1,616 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { @@ -6304,7 +12797,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "10-robodojo-play-stacking-toy-codex-seed0-attempt01", + "job": "35-robodojo-pour-by-language-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -6326,63 +12819,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "6f04acc882ec1476c4e080affbc5f56056ef179393d261cfdd09395d7b4efc8d", - "protocol_sha256": "151595e8813018fa139d3fa1302f064a6f3147285b0afa155b9e316dac2a8cef" + "session_original_sha256": "9823e4fb42ba34ba2a7c47bd1c5cd29624d9352da943026e6dd86a61f1da18b5", + "protocol_sha256": "b10751bbc24694b2b82ddcb85171f0806a4d2c357f0001a79f4780ffb7e227aa" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/resources/tools/robot.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/scene.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/resources/tools/scene.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/star_pose.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/resources/tools/star_pose.py", + "name": "tools/arx.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/resources/tools/arx.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/stacking-toy.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/resources/memos/stacking-toy.md", + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 200, - "observed_images": 42, - "tool_errors": 4 + "visible_events": 154, + "observed_images": 17, + "tool_errors": 2 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/10/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/" }, { - "id": "task04-11-seed0-formal", - "task_key": "task04/11", + "id": "task04-36-seed0-formal", + "task_key": "task04/36", "family": "task04", - "slot": "11", + "slot": "36", "seed": 0, "episode": 1, "phase": "formal", @@ -6396,61 +12879,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 905, + "steps": 1071, "success": true, "termination": "success" }, - "steps": 905, + "steps": 1071, "simulation_time_s": null, - "wall_time_s": 451.410962, + "wall_time_s": 777.348758, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Use the set square to push the three blocks into a straight, aligned row, then reset the robot arm.", - "instruction": "Use the set square to push the three blocks into a straight, aligned row, then reset the robot arm.", - "instruction_policy": "original_native", + "native_instruction": "Pour the liquid from the bottle into the cup.", + "instruction": "Pour nearly all the liquid into the cup with almost no spillage. Keep the bottle tilted over the cup until the flow stops and the liquid settles, then return it upright, leaving only a small residue inside.", + "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9693861238189193, - "cache_reported_input_tokens": 1207263, + "cache_hit_rate": 0.9768983350616229, + "cache_reported_input_tokens": 2577693, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 1207263, - "cached_input_tokens": 1170304, + "cache_write_reported_input_tokens": 2577693, + "cached_input_tokens": 2518144, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 1207263, + "input_tokens": 2577693, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 1170304, - "known_input_tokens": 1207263, - "known_output_tokens": 7588, - "known_reasoning_output_tokens": 2448, - "output_tokens": 7588, - "reasoning_output_tokens": 2448, - "reasoning_reported_output_tokens": 7588, + "known_cached_input_tokens": 2518144, + "known_input_tokens": 2577693, + "known_output_tokens": 15029, + "known_reasoning_output_tokens": 6246, + "output_tokens": 15029, + "reasoning_output_tokens": 6246, + "reasoning_reported_output_tokens": 15029, "reported_responses": { - "cache_reported_input_tokens": 38, - "cache_write_input_tokens": 38, - "cache_write_reported_input_tokens": 38, - "cached_input_tokens": 38, - "input_tokens": 38, - "output_tokens": 38, - "reasoning_output_tokens": 38, - "reasoning_reported_output_tokens": 38 + "cache_reported_input_tokens": 61, + "cache_write_input_tokens": 61, + "cache_write_reported_input_tokens": 61, + "cached_input_tokens": 61, + "input_tokens": 61, + "output_tokens": 61, + "reasoning_output_tokens": 61, + "reasoning_reported_output_tokens": 61 }, - "response_count": 38, + "response_count": 61, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 36959, + "uncached_input_tokens": 59549, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 37, + "model_tool_calls": 60, "model_tool_calls_by_name": { - "exec": 37 + "exec": 60 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -6466,21 +12949,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 9.05, + "duration_s": 10.7, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 363, - "captured_samples": 363, + "accepted_samples": 430, + "captured_samples": 430, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 363, - "end_time_s": 36.199999999999406, + "encoded_frames": 429, + "end_time_s": 42.839999999999264, "error": null, "experimental": true, "fps": 10, - "received_samples": 363, + "received_samples": 430, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -6516,12 +12999,12 @@ "left_wrist", "right_wrist" ], - "sha256": "d51f804540d6c50398212f2f5edf86ee1625dc47cf7baa4a9f83a2b860913e8d", + "sha256": "0fe3ccbc26c9d14bc92ead5c4bcc79adbd0ceb97922b07e30730ea9a629065c1", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 905 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 1,071 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -6560,7 +13043,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "11-robodojo-align-blocks-codex-seed0-attempt01", + "job": "36-robodojo-pour-liquid-into-cup-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -6582,53 +13065,58 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "086abce49b5d3532ac8d2ae2a151203ee393764ee8922696a8078816facb4405", - "protocol_sha256": "620ebf01c8128411b840fd2d8f4f2fe1218e00277e6acd3cde5539758a420a74" + "session_original_sha256": "7e5d9d89a62d36b2acc0686d0c45410afecd3f4a6a11d4909cf399edf099191d", + "protocol_sha256": "b149476eb7b742f99fdc2849cf33dae7045952a02b90dd86fc3756a18c01a07b" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/arx_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/resources/tools/arx_control.py", + "name": "tools/pour_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/resources/tools/pour_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo_arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/resources/memos/robodojo_arx.md", + "name": "tools/robot_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/resources/tools/robot_control.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/pouring.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/resources/memos/pouring.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 87, - "observed_images": 11, + "visible_events": 135, + "observed_images": 30, "tool_errors": 4 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/11/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/" }, { - "id": "task04-12-seed0-formal", - "task_key": "task04/12", + "id": "task04-38-seed0-formal", + "task_key": "task04/38", "family": "task04", - "slot": "12", + "slot": "38", "seed": 0, "episode": 1, "phase": "formal", @@ -6642,61 +13130,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 2040, + "steps": 952, "success": true, "termination": "success" }, - "steps": 2040, + "steps": 952, "simulation_time_s": null, - "wall_time_s": 761.096515, + "wall_time_s": 408.460414, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Arrange the numbers from left to right to form the largest possible number, and place them on the pad.", - "instruction": "Arrange all the digits on the pads to form the largest possible number when read from left to right. Leave one digit lying flat on each pad, readable from the robot's side, then return both arms to their starting poses.", + "native_instruction": "Press the two red buttons the required number of times according to the number cards, then press the blue button to confirm.", + "instruction": "Starting with the left red button, press and release each red button the number of times shown on its card, confirming that button's count with a press and release of the blue button before moving to the next. Return both arms to their starting poses when finished.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9753845987393726, - "cache_reported_input_tokens": 2403089, + "cache_hit_rate": 0.9579166678796666, + "cache_reported_input_tokens": 1030503, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 2403089, - "cached_input_tokens": 2343936, + "cache_write_reported_input_tokens": 1030503, + "cached_input_tokens": 987136, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 2403089, + "input_tokens": 1030503, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 2343936, - "known_input_tokens": 2403089, - "known_output_tokens": 14542, - "known_reasoning_output_tokens": 5467, - "output_tokens": 14542, - "reasoning_output_tokens": 5467, - "reasoning_reported_output_tokens": 14542, + "known_cached_input_tokens": 987136, + "known_input_tokens": 1030503, + "known_output_tokens": 6991, + "known_reasoning_output_tokens": 2046, + "output_tokens": 6991, + "reasoning_output_tokens": 2046, + "reasoning_reported_output_tokens": 6991, "reported_responses": { - "cache_reported_input_tokens": 57, - "cache_write_input_tokens": 57, - "cache_write_reported_input_tokens": 57, - "cached_input_tokens": 57, - "input_tokens": 57, - "output_tokens": 57, - "reasoning_output_tokens": 57, - "reasoning_reported_output_tokens": 57 + "cache_reported_input_tokens": 30, + "cache_write_input_tokens": 30, + "cache_write_reported_input_tokens": 30, + "cached_input_tokens": 30, + "input_tokens": 30, + "output_tokens": 30, + "reasoning_output_tokens": 30, + "reasoning_reported_output_tokens": 30 }, - "response_count": 57, + "response_count": 30, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 59153, + "uncached_input_tokens": 43367, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 56, + "model_tool_calls": 29, "model_tool_calls_by_name": { - "exec": 56 + "exec": 29 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -6712,21 +13200,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 20.4, + "duration_s": 9.5, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 817, - "captured_samples": 817, + "accepted_samples": 382, + "captured_samples": 382, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 817, - "end_time_s": 81.60000000000156, + "encoded_frames": 381, + "end_time_s": 38.079999999999366, "error": null, "experimental": true, "fps": 10, - "received_samples": 817, + "received_samples": 382, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -6762,12 +13250,12 @@ "left_wrist", "right_wrist" ], - "sha256": "9a9c90793bbaacd612feb198417179ec25bbcb35d94d70552737bbe13ce20476", + "sha256": "1191bf611481831d762b89e5a3da004b3ca6c531987daeece4ae34cd7bceb989", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 2,040 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 952 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -6806,7 +13294,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "12-robodojo-arrange-largest-number-codex-seed0-attempt01", + "job": "38-robodojo-press-by-number-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -6828,59 +13316,64 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "d01052e6e6c2efca3ee6889b464b94a02621b96261073f765c74b3330454c6e2", - "protocol_sha256": "e82a721587b91661ee5bcdb485c3e6573d246b35f68ab10c3db9adcfe9fbbe1f" + "session_original_sha256": "2988988996fbda95ad102c6dcdd76e9e645c552b62bb03210caf033a154c43ee", + "protocol_sha256": "9fce1006e083eccaf342031dee9ee536219916e20037c3b853f01379591895a3" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/resources/tools/robot.py", + "name": "tools/press_sequence.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/resources/tools/press_sequence.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "tools/robot_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/resources/tools/robot_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/resources/memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 128, - "observed_images": 34, + "visible_events": 70, + "observed_images": 19, "tool_errors": 3 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/12/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/" }, { - "id": "task04-14-seed0-formal", - "task_key": "task04/14", + "id": "task04-39-seed0-formal", + "task_key": "task04/39", "family": "task04", - "slot": "14", + "slot": "39", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": true, - "native_reward": 1.0, + "success": false, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -6888,61 +13381,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 3359, - "success": true, - "termination": "success" + "steps": 535, + "success": false, + "termination": "stopped" }, - "steps": 3359, + "steps": 535, "simulation_time_s": null, - "wall_time_s": 1171.989441, + "wall_time_s": 346.926941, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Build a tower using the wooden blocks and wooden boards.", - "instruction": "Build a tower, from bottom to top: two white blocks, the long board, two white blocks, the short board, the small plank, and the green roof. Use one white block from each original side in each pair. Keep the white blocks, boards and plank horizontal on their original bottom faces, and the roof upright on its base. Center the short board, plank and roof over the piece directly below. Align the plank lengthwise with the short board, with the roof ridge perpendicular to the plank\u2019s long edges. Release everything, open both grippers, and return both arms to their starting poses.", + "native_instruction": "Push the T-shaped block to align it precisely with the gray T-shaped pad.", + "instruction": "Slide the T-shaped block along the table until it neatly matches the gray T-shaped pad in position and orientation. Keep the block on the table and return both arms to their starting poses when finished.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9675784864147415, - "cache_reported_input_tokens": 4541614, + "cache_hit_rate": 0.9539017898864306, + "cache_reported_input_tokens": 787536, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 4541614, - "cached_input_tokens": 4394368, + "cache_write_reported_input_tokens": 787536, + "cached_input_tokens": 751232, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 4541614, + "input_tokens": 787536, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 4394368, - "known_input_tokens": 4541614, - "known_output_tokens": 24568, - "known_reasoning_output_tokens": 12189, - "output_tokens": 24568, - "reasoning_output_tokens": 12189, - "reasoning_reported_output_tokens": 24568, + "known_cached_input_tokens": 751232, + "known_input_tokens": 787536, + "known_output_tokens": 7374, + "known_reasoning_output_tokens": 2132, + "output_tokens": 7374, + "reasoning_output_tokens": 2132, + "reasoning_reported_output_tokens": 7374, "reported_responses": { - "cache_reported_input_tokens": 84, - "cache_write_input_tokens": 84, - "cache_write_reported_input_tokens": 84, - "cached_input_tokens": 84, - "input_tokens": 84, - "output_tokens": 84, - "reasoning_output_tokens": 84, - "reasoning_reported_output_tokens": 84 + "cache_reported_input_tokens": 25, + "cache_write_input_tokens": 25, + "cache_write_reported_input_tokens": 25, + "cached_input_tokens": 25, + "input_tokens": 25, + "output_tokens": 25, + "reasoning_output_tokens": 25, + "reasoning_reported_output_tokens": 25 }, - "response_count": 84, + "response_count": 25, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 147246, + "uncached_input_tokens": 36304, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 83, + "model_tool_calls": 24, "model_tool_calls_by_name": { - "exec": 83 + "exec": 24 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -6958,21 +13451,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 33.6, + "duration_s": 5.35, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1345, - "captured_samples": 1345, + "accepted_samples": 215, + "captured_samples": 215, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 1344, - "end_time_s": 134.36000000000755, + "encoded_frames": 215, + "end_time_s": 21.39999999999972, "error": null, "experimental": true, "fps": 10, - "received_samples": 1345, + "received_samples": 215, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -7008,13 +13501,14 @@ "left_wrist", "right_wrist" ], - "sha256": "b52315b264a1ec58c07ecb9116860442f42663203610c1a8657a28219c9f4838", + "sha256": "4351eae383c6bb677519793c915be8d479148b0156ac87ecfb962fb3768ebf93", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 3,359 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 535 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { @@ -7052,7 +13546,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "14-robodojo-build-tower-codex-seed0-attempt01", + "job": "39-robodojo-push-t-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -7074,53 +13568,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "aff53ab9e8e2a32cbeb5a2f4633e6f7a27eb2b3866ebc2e2ba6d44d650dcb442", - "protocol_sha256": "f23cb3045132545976e459babecca972c759abe27461c2ba6453d38a7e4d1360" + "session_original_sha256": "494f4f61f1bd5d3072e7966059e167381f188a7a55853a3c66839da85925e26d", + "protocol_sha256": "67d36ac75c05a3dace78b479283200ce78a0d5fa330bd3deb44a3033a0feeec3" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/resources/tools/robot.py", + "name": "tools/arx_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/resources/memos/robodojo.md", + "name": "memos/robodojo_push_t.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/resources/memos/robodojo_push_t.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 184, - "observed_images": 26, - "tool_errors": 8 + "visible_events": 59, + "observed_images": 16, + "tool_errors": 2 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/14/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/" }, { - "id": "task04-15-seed0-formal", - "task_key": "task04/15", + "id": "task04-41-seed0-formal", + "task_key": "task04/41", "family": "task04", - "slot": "15", + "slot": "41", "seed": 0, "episode": 1, "phase": "formal", @@ -7134,61 +13628,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 2596, + "steps": 2440, "success": true, "termination": "success" }, - "steps": 2596, + "steps": 2440, "simulation_time_s": null, - "wall_time_s": 1014.520145, + "wall_time_s": 1218.035565, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Sort the objects by category into the three baskets.", - "instruction": "Sort all objects by category into the three baskets, with one category per basket. Place every object fully inside and below the basket rim. Release the objects and return both arms to their starting poses.", + "native_instruction": "Pick up the bottles and throw them into the dustbin, using handover when needed.", + "instruction": "Put all four bottles into the dustbin, using a handover when needed. Let every bottle settle down inside the bin, release all bottles, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9738975583231717, - "cache_reported_input_tokens": 4079082, + "cache_hit_rate": 0.982993762638327, + "cache_reported_input_tokens": 4211396, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 4079082, - "cached_input_tokens": 3972608, + "cache_write_reported_input_tokens": 4211396, + "cached_input_tokens": 4139776, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 4079082, + "input_tokens": 4211396, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 3972608, - "known_input_tokens": 4079082, - "known_output_tokens": 15725, - "known_reasoning_output_tokens": 5293, - "output_tokens": 15725, - "reasoning_output_tokens": 5293, - "reasoning_reported_output_tokens": 15725, + "known_cached_input_tokens": 4139776, + "known_input_tokens": 4211396, + "known_output_tokens": 19241, + "known_reasoning_output_tokens": 8028, + "output_tokens": 19241, + "reasoning_output_tokens": 8028, + "reasoning_reported_output_tokens": 19241, "reported_responses": { - "cache_reported_input_tokens": 90, - "cache_write_input_tokens": 90, - "cache_write_reported_input_tokens": 90, - "cached_input_tokens": 90, - "input_tokens": 90, - "output_tokens": 90, - "reasoning_output_tokens": 90, - "reasoning_reported_output_tokens": 90 + "cache_reported_input_tokens": 94, + "cache_write_input_tokens": 94, + "cache_write_reported_input_tokens": 94, + "cached_input_tokens": 94, + "input_tokens": 94, + "output_tokens": 94, + "reasoning_output_tokens": 94, + "reasoning_reported_output_tokens": 94 }, - "response_count": 90, + "response_count": 94, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 106474, + "uncached_input_tokens": 71620, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 89, + "model_tool_calls": 93, "model_tool_calls_by_name": { - "exec": 89 + "exec": 93 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -7204,21 +13698,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 25.95, + "duration_s": 24.4, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1040, - "captured_samples": 1040, + "accepted_samples": 977, + "captured_samples": 977, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 1039, - "end_time_s": 103.84000000000503, + "encoded_frames": 977, + "end_time_s": 97.60000000000406, "error": null, "experimental": true, "fps": 10, - "received_samples": 1040, + "received_samples": 977, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -7254,12 +13748,12 @@ "left_wrist", "right_wrist" ], - "sha256": "e96ba3cf7a99f5b2b17cbefd55e81a1fde9a3fd6bcba56070e0562bab2b6f25b", + "sha256": "5e0ac64d393a038941fea1aa51dc0254120710f20bc797bae33ae2bc5268346d", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 2,596 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 2,440 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -7298,7 +13792,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "15-robodojo-classify-objects-codex-seed0-attempt01", + "job": "41-robodojo-put-bottles-into-dustbin-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -7318,61 +13812,66 @@ "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" - }, - "session_original_sha256": "d2e8f693d88f6de5e2df3641f442f1eceb4491bed7af44d821ce744caaad76a4", - "protocol_sha256": "d4764df5340422c36eecca651903cdb4fbd291218376a4e4117bd3dc8acfe06b" - }, - "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/media-validation.json" + "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + }, + "session_original_sha256": "3a9d1b691f49c20cff40af24a91e48de2f697f5a9dca9555061201b9d4c4d069", + "protocol_sha256": "b9dfde3386ef956c89bac335893d836bd52984cc886a9fcd5f7152575935fca3" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/resources/tools/robot.py", + "name": "tools/arx_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/resources/memos/robodojo.md", + "name": "skills/robodojo-arx/SKILL.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/resources/skills/robodojo-arx/SKILL.md", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robodojo-arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/resources/memos/robodojo-arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 196, + "visible_events": 204, "observed_images": 29, - "tool_errors": 7 + "tool_errors": 8 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/15/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/" }, { - "id": "task04-16-seed0-formal", - "task_key": "task04/16", + "id": "task04-42-seed0-formal", + "task_key": "task04/42", "family": "task04", - "slot": "16", + "slot": "42", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, - "native_reward": 0.9, + "native_reward": 1.0, "valid": true, "execution": { "reason": null, @@ -7380,61 +13879,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 3772, + "steps": 376, "success": true, "termination": "success" }, - "steps": 3772, + "steps": 376, "simulation_time_s": null, - "wall_time_s": 2172.762126, + "wall_time_s": 344.41526, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Place the four eggs from the basket into the egg holder, then close the lid.", - "instruction": "Place all four eggs from the basket into the egg holder, seated fully down in its egg compartments. Close the lid fully without dislodging the eggs, release the holder, and return both arms to their starting poses.", - "instruction_policy": "modified", + "native_instruction": "Complete the equation by selecting the correct missing number or operator and placing it on the pad, then reset the robot arm.", + "instruction": "Complete the equation by selecting the correct missing number or operator and placing it on the pad, then reset the robot arm.", + "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9826951520509492, - "cache_reported_input_tokens": 10433608, + "cache_hit_rate": 0.9453168514193027, + "cache_reported_input_tokens": 899491, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 10433608, - "cached_input_tokens": 10253056, + "cache_write_reported_input_tokens": 899491, + "cached_input_tokens": 850304, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 10433608, + "input_tokens": 899491, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 10253056, - "known_input_tokens": 10433608, - "known_output_tokens": 29150, - "known_reasoning_output_tokens": 12899, - "output_tokens": 29150, - "reasoning_output_tokens": 12899, - "reasoning_reported_output_tokens": 29150, + "known_cached_input_tokens": 850304, + "known_input_tokens": 899491, + "known_output_tokens": 7148, + "known_reasoning_output_tokens": 2073, + "output_tokens": 7148, + "reasoning_output_tokens": 2073, + "reasoning_reported_output_tokens": 7148, "reported_responses": { - "cache_reported_input_tokens": 157, - "cache_write_input_tokens": 157, - "cache_write_reported_input_tokens": 157, - "cached_input_tokens": 157, - "input_tokens": 157, - "output_tokens": 157, - "reasoning_output_tokens": 157, - "reasoning_reported_output_tokens": 157 + "cache_reported_input_tokens": 28, + "cache_write_input_tokens": 28, + "cache_write_reported_input_tokens": 28, + "cached_input_tokens": 28, + "input_tokens": 28, + "output_tokens": 28, + "reasoning_output_tokens": 28, + "reasoning_reported_output_tokens": 28 }, - "response_count": 157, + "response_count": 28, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 180552, + "uncached_input_tokens": 49187, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 156, + "model_tool_calls": 27, "model_tool_calls_by_name": { - "exec": 156 + "exec": 27 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -7450,21 +13949,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 37.7, + "duration_s": 3.75, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1510, - "captured_samples": 1510, + "accepted_samples": 152, + "captured_samples": 152, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 1509, - "end_time_s": 150.88000000000426, + "encoded_frames": 151, + "end_time_s": 15.039999999999855, "error": null, "experimental": true, "fps": 10, - "received_samples": 1510, + "received_samples": 152, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -7500,12 +13999,12 @@ "left_wrist", "right_wrist" ], - "sha256": "002442d1fa0799e92d47cc1687b3da010773218f87a3be0e689c11906ffb29c7", + "sha256": "ab5dc89ba3c9b5be9f7a42098a4a6e777c278eedf5c747ffee03bb2e84f4b979", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 3,772 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 376 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -7544,7 +14043,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "16-robodojo-fill-egg-holder-codex-seed0-attempt01", + "job": "42-robodojo-solve-equation-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -7566,64 +14065,59 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "871a93ab6accbee6e7cc7968929044cbb727bb42f06c28dca314a22cc2249634", - "protocol_sha256": "e0a19fd656f3a7648fb37353a65d615d5764a23477c26b9ef17a28e052f6af6c" + "session_original_sha256": "e54bfef985a6ed8b5cb4be7450d1cce3348c0d3c9040332c4c52399f523e6617", + "protocol_sha256": "438173dad57f0b8c50f92d2d9903c94dc1b872d213d505617081782fca15e41d" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/resources/tools/robot.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/vision.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/resources/tools/vision.py", + "name": "tools/arx_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/egg-holder.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/resources/memos/egg-holder.md", + "name": "memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 337, - "observed_images": 62, + "visible_events": 64, + "observed_images": 16, "tool_errors": 5 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/16/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/" }, { - "id": "task04-17-seed0-formal", - "task_key": "task04/17", + "id": "task04-43-seed0-formal", + "task_key": "task04/43", "family": "task04", - "slot": "17", + "slot": "43", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": false, - "native_reward": 0.25, + "success": true, + "native_reward": 1.0, "valid": true, "execution": { "reason": null, @@ -7631,61 +14125,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 7440, - "success": false, - "termination": "stopped" + "steps": 3036, + "success": true, + "termination": "success" }, - "steps": 7440, + "steps": 3036, "simulation_time_s": null, - "wall_time_s": 5845.33904, + "wall_time_s": 1031.599589, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Hold the pen holder with one hand, place all pens into it with the other hand, then put it back down.", - "instruction": "Hold the pen holder with one hand and insert all the pens with the other, writing ends down and fully seated inside. Put the holder down upright, release it, and return both arms to their starting poses.", + "native_instruction": "Arrange the five nesting dolls in a row from left to right, from smallest to largest.", + "instruction": "Arrange all five nesting dolls upright in a straight row from left to right, from smallest to largest. Keep their centers aligned front to back and leave the dolls clearly separated. Release them and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.992503006146394, - "cache_reported_input_tokens": 29201838, + "cache_hit_rate": 0.9703679016442512, + "cache_reported_input_tokens": 4182694, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 29201838, - "cached_input_tokens": 28982912, + "cache_write_reported_input_tokens": 4182694, + "cached_input_tokens": 4058752, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 29201838, + "input_tokens": 4182694, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 28982912, - "known_input_tokens": 29201838, - "known_output_tokens": 80788, - "known_reasoning_output_tokens": 48714, - "output_tokens": 80788, - "reasoning_output_tokens": 48714, - "reasoning_reported_output_tokens": 80788, + "known_cached_input_tokens": 4058752, + "known_input_tokens": 4182694, + "known_output_tokens": 19444, + "known_reasoning_output_tokens": 7913, + "output_tokens": 19444, + "reasoning_output_tokens": 7913, + "reasoning_reported_output_tokens": 19444, "reported_responses": { - "cache_reported_input_tokens": 289, - "cache_write_input_tokens": 289, - "cache_write_reported_input_tokens": 289, - "cached_input_tokens": 289, - "input_tokens": 289, - "output_tokens": 289, - "reasoning_output_tokens": 289, - "reasoning_reported_output_tokens": 289 + "cache_reported_input_tokens": 89, + "cache_write_input_tokens": 89, + "cache_write_reported_input_tokens": 89, + "cached_input_tokens": 89, + "input_tokens": 89, + "output_tokens": 89, + "reasoning_output_tokens": 89, + "reasoning_reported_output_tokens": 89 }, - "response_count": 289, + "response_count": 89, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 218926, + "uncached_input_tokens": 123942, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 288, + "model_tool_calls": 88, "model_tool_calls_by_name": { - "exec": 288 + "exec": 88 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -7701,21 +14195,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 74.4, + "duration_s": 30.35, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 2977, - "captured_samples": 2977, + "accepted_samples": 1216, + "captured_samples": 1216, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 2977, - "end_time_s": 297.6000000000046, + "encoded_frames": 1215, + "end_time_s": 121.44000000000779, "error": null, "experimental": true, "fps": 10, - "received_samples": 2977, + "received_samples": 1216, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -7751,14 +14245,13 @@ "left_wrist", "right_wrist" ], - "sha256": "f3c9626399fbbdd5e6f15a39f9e9967e3ac90b6d1c85b0ba822ae16f36465301", + "sha256": "fb6425ca4b283be1bc4261fafc65a0d7ee6528e4190b690966a5c870a96a60b5", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 7,440 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", - "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 3,036 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { @@ -7796,7 +14289,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "17-robodojo-fill-pen-holder-codex-seed0-attempt01", + "job": "43-robodojo-sort-nesting-dolls-by-size-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -7818,53 +14311,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "4de9c3c264f52832303def2e45505f2814b7fc5a0fe89b7ca676fd6d8c693b71", - "protocol_sha256": "8db05ad726248326912895583e4fe0eb492747d9f7702eb2b524abfb8da02a0a" + "session_original_sha256": "ee681e87712456c127f125c64faa8fa039084177c0e2185fb6cc85beed9e0d77", + "protocol_sha256": "6330a7ba676fbbe37e3eeaa32e9e720360f342588aebda1a3d017df413d83b5d" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/resources/tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo-manipulation.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/resources/memos/robodojo-manipulation.md", + "name": "memos/robodojo-arx-x5.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/resources/memos/robodojo-arx-x5.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 608, - "observed_images": 123, - "tool_errors": 20 + "visible_events": 194, + "observed_images": 25, + "tool_errors": 8 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/17/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/" }, { - "id": "task04-18-seed0-formal", - "task_key": "task04/18", + "id": "task04-45-seed0-formal", + "task_key": "task04/45", "family": "task04", - "slot": "18", + "slot": "45", "seed": 0, "episode": 1, "phase": "formal", @@ -7878,61 +14371,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 2826, + "steps": 843, "success": true, "termination": "success" }, - "steps": 2826, + "steps": 843, "simulation_time_s": null, - "wall_time_s": 1232.841163, + "wall_time_s": 445.877178, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Fold the clothes neatly.", - "instruction": "Fold the garment into a compact rectangle, with both sleeves folded across the chest and the lower half folded up toward the shoulders. Release the garment, open both grippers, and return both arms to their starting poses when finished.", + "native_instruction": "Stack the three blocks with different textures.", + "instruction": "Stack all three differently textured blocks in a single vertical tower, in any order. Center each block over the one below, release the completed stack, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9844570088586699, - "cache_reported_input_tokens": 4706237, + "cache_hit_rate": 0.9470766490973589, + "cache_reported_input_tokens": 1114064, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 4706237, - "cached_input_tokens": 4633088, + "cache_write_reported_input_tokens": 1114064, + "cached_input_tokens": 1055104, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 4706237, + "input_tokens": 1114064, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 4633088, - "known_input_tokens": 4706237, - "known_output_tokens": 20162, - "known_reasoning_output_tokens": 9173, - "output_tokens": 20162, - "reasoning_output_tokens": 9173, - "reasoning_reported_output_tokens": 20162, + "known_cached_input_tokens": 1055104, + "known_input_tokens": 1114064, + "known_output_tokens": 6855, + "known_reasoning_output_tokens": 1877, + "output_tokens": 6855, + "reasoning_output_tokens": 1877, + "reasoning_reported_output_tokens": 6855, "reported_responses": { - "cache_reported_input_tokens": 103, - "cache_write_input_tokens": 103, - "cache_write_reported_input_tokens": 103, - "cached_input_tokens": 103, - "input_tokens": 103, - "output_tokens": 103, - "reasoning_output_tokens": 103, - "reasoning_reported_output_tokens": 103 + "cache_reported_input_tokens": 35, + "cache_write_input_tokens": 35, + "cache_write_reported_input_tokens": 35, + "cached_input_tokens": 35, + "input_tokens": 35, + "output_tokens": 35, + "reasoning_output_tokens": 35, + "reasoning_reported_output_tokens": 35 }, - "response_count": 103, + "response_count": 35, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 73149, + "uncached_input_tokens": 58960, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 102, + "model_tool_calls": 34, "model_tool_calls_by_name": { - "exec": 102 + "exec": 34 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -7948,21 +14441,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 28.25, + "duration_s": 8.45, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1132, - "captured_samples": 1132, + "accepted_samples": 338, + "captured_samples": 338, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 1131, - "end_time_s": 113.04000000000647, + "encoded_frames": 338, + "end_time_s": 33.71999999999946, "error": null, "experimental": true, "fps": 10, - "received_samples": 1132, + "received_samples": 338, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -7998,12 +14491,12 @@ "left_wrist", "right_wrist" ], - "sha256": "3996c68436f3182c9e7bc41ea32922a95d069c8a68eb224f6f254da8215a7663", + "sha256": "14d74b356a682d620f371366fc8700e15119ff9d1b549d32d3fa0f550f545ad4", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 2,826 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 843 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -8042,7 +14535,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "18-robodojo-fold-clothes-codex-seed0-attempt01", + "job": "45-robodojo-stack-blocks-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -8064,53 +14557,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "35ba999d3fa3ea7ebfbaca4e8dbc7af91edc4b0c46715c5e97b4d98a70e3479a", - "protocol_sha256": "4d88cc5a999dce74aa071c90a44dc1dd29d91e85bb470ce457003c0efec6e5f3" + "session_original_sha256": "ade868f23657c634602c3d72126f68dcc4d966f5625c0d762c0534e68cc3357f", + "protocol_sha256": "739b225b6df68661a4a1e1d7b03b8746eb82f4857dd7917dbc4a32d2fa99e6b0" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/cloth_robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/resources/tools/cloth_robot.py", + "name": "tools/arm_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/resources/tools/arm_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/fold-clothes.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/resources/memos/fold-clothes.md", + "name": "memos/stack_blocks.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/resources/memos/stack_blocks.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 224, - "observed_images": 18, - "tool_errors": 5 + "visible_events": 79, + "observed_images": 10, + "tool_errors": 3 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/18/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/" }, { - "id": "task04-20-seed0-formal", - "task_key": "task04/20", + "id": "task04-46-seed0-formal", + "task_key": "task04/46", "family": "task04", - "slot": "20", + "slot": "46", "seed": 0, "episode": 1, "phase": "formal", @@ -8124,61 +14617,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 260, + "steps": 1265, "success": true, "termination": "success" }, - "steps": 260, + "steps": 1265, "simulation_time_s": null, - "wall_time_s": 269.775859, + "wall_time_s": 484.775267, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pick up the mint green scissors by 10 cm.", - "instruction": "Pick up the mint green scissors by 10 cm.", + "native_instruction": "stack the blocks from bottom to top in the order of blue, yellow, and orange, then reset the robot arm.", + "instruction": "stack the blocks from bottom to top in the order of blue, yellow, and orange, then reset the robot arm.", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9191078898266838, - "cache_reported_input_tokens": 890742, + "cache_hit_rate": 0.9691445218090995, + "cache_reported_input_tokens": 1362092, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 890742, - "cached_input_tokens": 818688, + "cache_write_reported_input_tokens": 1362092, + "cached_input_tokens": 1320064, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 890742, + "input_tokens": 1362092, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 818688, - "known_input_tokens": 890742, - "known_output_tokens": 5727, - "known_reasoning_output_tokens": 1190, - "output_tokens": 5727, - "reasoning_output_tokens": 1190, - "reasoning_reported_output_tokens": 5727, - "reported_responses": { - "cache_reported_input_tokens": 29, - "cache_write_input_tokens": 29, - "cache_write_reported_input_tokens": 29, - "cached_input_tokens": 29, - "input_tokens": 29, - "output_tokens": 29, - "reasoning_output_tokens": 29, - "reasoning_reported_output_tokens": 29 + "known_cached_input_tokens": 1320064, + "known_input_tokens": 1362092, + "known_output_tokens": 9240, + "known_reasoning_output_tokens": 2401, + "output_tokens": 9240, + "reasoning_output_tokens": 2401, + "reasoning_reported_output_tokens": 9240, + "reported_responses": { + "cache_reported_input_tokens": 40, + "cache_write_input_tokens": 40, + "cache_write_reported_input_tokens": 40, + "cached_input_tokens": 40, + "input_tokens": 40, + "output_tokens": 40, + "reasoning_output_tokens": 40, + "reasoning_reported_output_tokens": 40 }, - "response_count": 29, + "response_count": 40, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 72054, + "uncached_input_tokens": 42028, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 28, + "model_tool_calls": 39, "model_tool_calls_by_name": { - "exec": 28 + "exec": 39 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -8194,21 +14687,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 2.6, + "duration_s": 12.65, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 105, - "captured_samples": 105, + "accepted_samples": 507, + "captured_samples": 507, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 105, - "end_time_s": 10.399999999999954, + "encoded_frames": 507, + "end_time_s": 50.5999999999991, "error": null, "experimental": true, "fps": 10, - "received_samples": 105, + "received_samples": 507, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -8244,12 +14737,12 @@ "left_wrist", "right_wrist" ], - "sha256": "f1adb5cd77446398a93ec1a1a57c87e37064722569f777d8ef2a4bacd0e18687", + "sha256": "b12e476c01706947b21dda7039b51317f0f6756ae4fdf68a0553a132b563ff2c", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 260 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 1,265 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -8288,7 +14781,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "20-robodojo-general-pickup-codex-seed0-attempt01", + "job": "46-robodojo-stack-blocks-by-language-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -8310,53 +14803,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "cf1f81dbf7f2eb4c6393e3165c8c4b790ff49c58e39e750896e804bc4d611ed4", - "protocol_sha256": "eb6397849e2080ca6ce830dcd4ed4e76f31023c07b80325b71f2a0444ae4aeb0" + "session_original_sha256": "0ae5a5833e7f68ded44ad0c61180a020af6b4d24d89b4f8c959ef649c3cc5a74", + "protocol_sha256": "0353fcd3c3f4918cb27247a7ab486a7a8257fe72da1367bd5e66477b4333d346" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/media-validation.json" }, "resources": [ { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/resources/tools/robot.py", + "name": "tools/arx_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/resources/memos/robodojo.md", + "name": "memos/robodojo_arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/resources/memos/robodojo_arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 67, - "observed_images": 10, - "tool_errors": 3 + "visible_events": 91, + "observed_images": 17, + "tool_errors": 4 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/20/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/" }, { - "id": "task04-21-seed0-formal", - "task_key": "task04/21", + "id": "task04-48-seed0-formal", + "task_key": "task04/48", "family": "task04", - "slot": "21", + "slot": "48", "seed": 0, "episode": 1, "phase": "formal", @@ -8370,61 +14863,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 3649, + "steps": 1209, "success": true, "termination": "success" }, - "steps": 3649, + "steps": 1209, "simulation_time_s": null, - "wall_time_s": 2306.162789, + "wall_time_s": 460.741037, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Hang all the mugs on the mug rack.", - "instruction": "Hang all three mugs by their handles on the raised supports of the mug rack. Seat each handle securely over a support, with the mug hanging clear of the table. Release all mugs and return both arms to their starting poses.", + "native_instruction": "Stack the three bowls together.", + "instruction": "Stack the three bowls into one centered, nested stack with every opening facing up. Keep the bottom bowl level on the table and settle the other two evenly inside it. Release the bowls and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.986611442252095, - "cache_reported_input_tokens": 8564328, + "cache_hit_rate": 0.9609032332392465, + "cache_reported_input_tokens": 972152, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 8564328, - "cached_input_tokens": 8449664, + "cache_write_reported_input_tokens": 972152, + "cached_input_tokens": 934144, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 8564328, + "input_tokens": 972152, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 8449664, - "known_input_tokens": 8564328, - "known_output_tokens": 31426, - "known_reasoning_output_tokens": 14518, - "output_tokens": 31426, - "reasoning_output_tokens": 14518, - "reasoning_reported_output_tokens": 31426, + "known_cached_input_tokens": 934144, + "known_input_tokens": 972152, + "known_output_tokens": 6498, + "known_reasoning_output_tokens": 1172, + "output_tokens": 6498, + "reasoning_output_tokens": 1172, + "reasoning_reported_output_tokens": 6498, "reported_responses": { - "cache_reported_input_tokens": 130, - "cache_write_input_tokens": 130, - "cache_write_reported_input_tokens": 130, - "cached_input_tokens": 130, - "input_tokens": 130, - "output_tokens": 130, - "reasoning_output_tokens": 130, - "reasoning_reported_output_tokens": 130 + "cache_reported_input_tokens": 30, + "cache_write_input_tokens": 30, + "cache_write_reported_input_tokens": 30, + "cached_input_tokens": 30, + "input_tokens": 30, + "output_tokens": 30, + "reasoning_output_tokens": 30, + "reasoning_reported_output_tokens": 30 }, - "response_count": 130, + "response_count": 30, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 114664, + "uncached_input_tokens": 38008, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 129, + "model_tool_calls": 29, "model_tool_calls_by_name": { - "exec": 129 + "exec": 29 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -8440,21 +14933,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 36.5, + "duration_s": 12.1, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1461, - "captured_samples": 1461, + "accepted_samples": 485, + "captured_samples": 485, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 1460, - "end_time_s": 145.96000000000524, + "encoded_frames": 484, + "end_time_s": 48.35999999999915, "error": null, "experimental": true, "fps": 10, - "received_samples": 1461, + "received_samples": 485, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -8490,12 +14983,12 @@ "left_wrist", "right_wrist" ], - "sha256": "0ddc1edee9aa88a0be87c863f3b64ad7e15490581f2927994d7d4dd64a86ff2f", + "sha256": "26f8d160bad64d134ff067c48ac63b143d9d12be020ee329ad6d5d46d846e9f6", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 3,649 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 1,209 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -8534,7 +15027,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "21-robodojo-hang-mugs-codex-seed0-attempt01", + "job": "48-robodojo-stack-bowls-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -8556,53 +15049,58 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "70767bdbed391ab842e15bda14790bef81da6a1f18cda36d74fdd8907eb6e79d", - "protocol_sha256": "c503521ec7cadab57ffa2b9e37d6e21b1429512d1233fec140dd86f0f171f1ce" + "session_original_sha256": "0031361824727b4645bee2c9bdf1c63e23dab16d5ab4039c8b8c16e583df2893", + "protocol_sha256": "e276da876239aed4f22db9100d1674254fb5c5893a8ab8bde9004a87801e33da" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/media-validation.json" }, "resources": [ + { + "name": "tools/bowl_vision.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/resources/tools/bowl_vision.py", + "kind": "Created during this episode; final workspace snapshot." + }, { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/resources/tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/hang-mugs.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/resources/memos/hang-mugs.md", + "name": "memos/stack-bowls.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/resources/memos/stack-bowls.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 281, - "observed_images": 76, - "tool_errors": 7 + "visible_events": 70, + "observed_images": 19, + "tool_errors": 4 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/21/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/" }, { - "id": "task04-23-seed0-formal", - "task_key": "task04/23", + "id": "task04-51-seed0-formal", + "task_key": "task04/51", "family": "task04", - "slot": "23", + "slot": "51", "seed": 0, "episode": 1, "phase": "formal", @@ -8616,61 +15114,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 2522, + "steps": 1046, "success": true, "termination": "success" }, - "steps": 2522, + "steps": 1046, "simulation_time_s": null, - "wall_time_s": 768.602172, + "wall_time_s": 501.073897, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Observe the object placement order, remember it, then place the corresponding objects into the basket in the same order.", - "instruction": "Keep both arms at their starting poses while the other robot demonstrates the five-object placement sequence. After it finishes, place your corresponding objects one at a time into the empty basket in the same order. Keep every previously placed object inside, and leave the demonstration objects in the other basket. Return both arms to their starting poses when finished.", + "native_instruction": "Pick up the two T-shaped blocks, swap their positions, and place them back with the correct orientations.", + "instruction": "Swap the two T-shaped blocks. Put each block at the other block's original position, matching the orientation that the other block had there. Place both flat on the table, release them, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9556093875054337, - "cache_reported_input_tokens": 2056606, + "cache_hit_rate": 0.974693113107188, + "cache_reported_input_tokens": 2182726, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 2056606, - "cached_input_tokens": 1965312, + "cache_write_reported_input_tokens": 2182726, + "cached_input_tokens": 2127488, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 2056606, + "input_tokens": 2182726, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 1965312, - "known_input_tokens": 2056606, - "known_output_tokens": 10680, - "known_reasoning_output_tokens": 3174, - "output_tokens": 10680, - "reasoning_output_tokens": 3174, - "reasoning_reported_output_tokens": 10680, + "known_cached_input_tokens": 2127488, + "known_input_tokens": 2182726, + "known_output_tokens": 11222, + "known_reasoning_output_tokens": 3038, + "output_tokens": 11222, + "reasoning_output_tokens": 3038, + "reasoning_reported_output_tokens": 11222, "reported_responses": { - "cache_reported_input_tokens": 54, - "cache_write_input_tokens": 54, - "cache_write_reported_input_tokens": 54, - "cached_input_tokens": 54, - "input_tokens": 54, - "output_tokens": 54, - "reasoning_output_tokens": 54, - "reasoning_reported_output_tokens": 54 + "cache_reported_input_tokens": 51, + "cache_write_input_tokens": 51, + "cache_write_reported_input_tokens": 51, + "cached_input_tokens": 51, + "input_tokens": 51, + "output_tokens": 51, + "reasoning_output_tokens": 51, + "reasoning_reported_output_tokens": 51 }, - "response_count": 54, + "response_count": 51, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 91294, + "uncached_input_tokens": 55238, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 53, + "model_tool_calls": 50, "model_tool_calls_by_name": { - "exec": 53 + "exec": 50 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -8686,21 +15184,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 25.2, + "duration_s": 10.45, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1010, - "captured_samples": 1010, + "accepted_samples": 420, + "captured_samples": 420, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 1009, - "end_time_s": 100.88000000000457, + "encoded_frames": 419, + "end_time_s": 41.839999999999286, "error": null, "experimental": true, "fps": 10, - "received_samples": 1010, + "received_samples": 420, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -8736,12 +15234,12 @@ "left_wrist", "right_wrist" ], - "sha256": "53deb842a8884a3c13a74206e3428cd05f0f4fd34bb2a9ddda96879725e79526", + "sha256": "22b3d2c47ea88eedd37ee6ea358e2f2fa431bae8983eb2bf1371f953a5492716", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 2,522 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 1,046 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -8780,7 +15278,7 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "23-robodojo-imitate-sorting-sequence-codex-seed0-attempt01", + "job": "51-robodojo-swap-t-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", @@ -8802,59 +15300,64 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "9b1953ed93b8e55e6edebf252367a0b915d05693b39399ff56af6f295f21bca6", - "protocol_sha256": "32d862b0761e0d956a45f371a10e4e0140fd59918700869986626301b85a8aec" + "session_original_sha256": "fd18e60507a4e4f05e805b01e5054004ecd7e6f8bd14a46bfd856484ec82d1da", + "protocol_sha256": "1b0efaab6f68b573e59b4805686ca303c55abe32e88e5dd336e1df6e2cc12c60" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/resources/tools/arx_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/resources/tools/arx_control.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "tools/arx_vision.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/resources/tools/arx_vision.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo_arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/resources/memos/robodojo_arx.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/resources/memos/robodojo_arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 122, - "observed_images": 20, - "tool_errors": 4 + "visible_events": 113, + "observed_images": 18, + "tool_errors": 2 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/23/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/" }, { - "id": "task04-24-seed0-formal", - "task_key": "task04/24", + "id": "task04-52-seed0-formal", + "task_key": "task04/52", "family": "task04", - "slot": "24", + "slot": "52", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": true, - "native_reward": 1.0, + "success": false, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -8862,61 +15365,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 6895, - "success": true, - "termination": "success" + "steps": 1447, + "success": false, + "termination": "stopped" }, - "steps": 6895, + "steps": 1447, "simulation_time_s": null, - "wall_time_s": 6105.168067, + "wall_time_s": 522.548959, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pick up the key, hand it over to the other hand, insert it into the keyhole, then turn it.", - "instruction": "Pick up the key, hand it over to the other hand, and insert its blade fully into the keyhole with the handle above it. Keeping the key upright and seated, turn it clockwise by about 60 degrees from the keyhole's insertion orientation, as viewed from above.", + "native_instruction": "Swap the two blocks using the empty mat, pressing the button after each move.", + "instruction": "Swap the blocks in three moves using the empty mat as temporary space. Lift one block at a time and release it centered on its destination mat. After each placement, press the button once, withdraw the gripper completely, and wait for the button to rise fully before continuing. Finish with the blocks on each other\u2019s original mats and both arms at their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9920158514145233, - "cache_reported_input_tokens": 30834346, + "cache_hit_rate": 0.9718390006317742, + "cache_reported_input_tokens": 1785448, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 30834346, - "cached_input_tokens": 30588160, + "cache_write_reported_input_tokens": 1785448, + "cached_input_tokens": 1735168, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 30834346, + "input_tokens": 1785448, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 30588160, - "known_input_tokens": 30834346, - "known_output_tokens": 88978, - "known_reasoning_output_tokens": 58431, - "output_tokens": 88978, - "reasoning_output_tokens": 58431, - "reasoning_reported_output_tokens": 88978, + "known_cached_input_tokens": 1735168, + "known_input_tokens": 1785448, + "known_output_tokens": 11732, + "known_reasoning_output_tokens": 4381, + "output_tokens": 11732, + "reasoning_output_tokens": 4381, + "reasoning_reported_output_tokens": 11732, "reported_responses": { - "cache_reported_input_tokens": 284, - "cache_write_input_tokens": 284, - "cache_write_reported_input_tokens": 284, - "cached_input_tokens": 284, - "input_tokens": 284, - "output_tokens": 284, - "reasoning_output_tokens": 284, - "reasoning_reported_output_tokens": 284 + "cache_reported_input_tokens": 46, + "cache_write_input_tokens": 46, + "cache_write_reported_input_tokens": 46, + "cached_input_tokens": 46, + "input_tokens": 46, + "output_tokens": 46, + "reasoning_output_tokens": 46, + "reasoning_reported_output_tokens": 46 }, - "response_count": 284, + "response_count": 46, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 246186, + "uncached_input_tokens": 50280, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 283, + "model_tool_calls": 45, "model_tool_calls_by_name": { - "exec": 283 + "exec": 45 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -8932,21 +15435,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 68.95, + "duration_s": 14.45, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 2759, - "captured_samples": 2759, + "accepted_samples": 580, + "captured_samples": 580, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 2759, - "end_time_s": 275.7999999999935, + "encoded_frames": 579, + "end_time_s": 57.879999999998944, "error": null, "experimental": true, "fps": 10, - "received_samples": 2759, + "received_samples": 580, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -8982,13 +15485,14 @@ "left_wrist", "right_wrist" ], - "sha256": "33858388d5d9f42802a6cc8abaacf292071e0726ab83a85536f3fde3eddbedc3", + "sha256": "b8019add814858f14b59c428208da9e4dbb0c60ea92538dfc113b45abc24c102", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 6,895 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 1,447 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { @@ -9026,8 +15530,8 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "24-robodojo-insert-key-codex-seed0-attempt01", - "attempt": 1, + "job": "52-robodojo-swap-blocks-codex-seed0-attempt02", + "attempt": 2, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", @@ -9048,58 +15552,53 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "3f0e761afc0361d14bf3eb9c429b6da6ba66f3ec1829ddac1d8215dc415bc4f5", - "protocol_sha256": "e21d3a817474cba6513493d9ccfe2fec68ee69d186cf329dcd7700bcd9cf21bb" + "session_original_sha256": "96254f264e46a0fe599c4a7b14262aa7fb495dbf5a91dd5f77d3db0b1212ad03", + "protocol_sha256": "b13933dd9228ca4b0ce123b8d301924aef1635fa85b203cac66a3525eab23346" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/media-validation.json" - }, - "resources": [ - { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/resources/tools/robot.py", - "kind": "Created during this episode; final workspace snapshot." - }, + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/media-validation.json" + }, + "resources": [ { - "name": "tools/vision.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/resources/tools/vision.py", + "name": "tools/arx_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/resources/memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 595, - "observed_images": 166, - "tool_errors": 19 + "visible_events": 104, + "observed_images": 19, + "tool_errors": 1 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/24/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/" }, { - "id": "task04-25-seed0-formal", - "task_key": "task04/25", + "id": "task04-53-seed0-formal", + "task_key": "task04/53", "family": "task04", - "slot": "25", + "slot": "53", "seed": 0, "episode": 1, "phase": "formal", @@ -9113,61 +15612,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 2476, + "steps": 6753, "success": false, "termination": "stopped" }, - "steps": 2476, + "steps": 6753, "simulation_time_s": null, - "wall_time_s": 1432.125486, + "wall_time_s": 3020.774384, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Wait for the opponent to discard a tile, then declare a kong with the matching tiles.", - "instruction": "Wait with both arms at their starting poses until the opponent finishes discarding. Declare a kong by laying your three matching tiles face up, leaving the rest of your hand upright. Draw the top replacement tile from the nearer stack on your left, keeping it face down and parallel to your row, then stand it in the vacant place at the right end of your hand and release it.", + "native_instruction": "Pick up the broom, hand it over to the right hand, then use the dustpan to sweep the blocks.", + "instruction": "Pick up the broom, hand it over to the right hand, and sweep all the small blocks into the dustpan. Keep the dustpan on the table, level and to the left of the broom, with every block collected inside. Leave the dustpan down and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9834388656524558, - "cache_reported_input_tokens": 4991204, + "cache_hit_rate": 0.9898404802868557, + "cache_reported_input_tokens": 14232661, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 4991204, - "cached_input_tokens": 4908544, + "cache_write_reported_input_tokens": 14232661, + "cached_input_tokens": 14088064, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 4991204, + "input_tokens": 14232661, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 4908544, - "known_input_tokens": 4991204, - "known_output_tokens": 24592, - "known_reasoning_output_tokens": 12576, - "output_tokens": 24592, - "reasoning_output_tokens": 12576, - "reasoning_reported_output_tokens": 24592, + "known_cached_input_tokens": 14088064, + "known_input_tokens": 14232661, + "known_output_tokens": 48099, + "known_reasoning_output_tokens": 27321, + "output_tokens": 48099, + "reasoning_output_tokens": 27321, + "reasoning_reported_output_tokens": 48099, "reported_responses": { - "cache_reported_input_tokens": 92, - "cache_write_input_tokens": 92, - "cache_write_reported_input_tokens": 92, - "cached_input_tokens": 92, - "input_tokens": 92, - "output_tokens": 92, - "reasoning_output_tokens": 92, - "reasoning_reported_output_tokens": 92 + "cache_reported_input_tokens": 207, + "cache_write_input_tokens": 207, + "cache_write_reported_input_tokens": 207, + "cached_input_tokens": 207, + "input_tokens": 207, + "output_tokens": 207, + "reasoning_output_tokens": 207, + "reasoning_reported_output_tokens": 207 }, - "response_count": 92, + "response_count": 207, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 82660, + "uncached_input_tokens": 144597, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 91, + "model_tool_calls": 206, "model_tool_calls_by_name": { - "exec": 91 + "exec": 206 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -9183,21 +15682,21 @@ "passed": true, "width": 2880, "height": 720, - "duration_s": 24.75, + "duration_s": 67.55, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 992, - "captured_samples": 992, + "accepted_samples": 2702, + "captured_samples": 2702, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 991, - "end_time_s": 99.04000000000428, + "encoded_frames": 2702, + "end_time_s": 270.11999999999057, "error": null, "experimental": true, "fps": 10, - "received_samples": 992, + "received_samples": 2702, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -9233,12 +15732,12 @@ "left_wrist", "right_wrist" ], - "sha256": "5a7054d51b66c5a20ebc49a1a8f215946d072d83d0466c36c87e2c2688c63b42", + "sha256": "2bdaf9f86ab60e4622871ff150b1d42fdc41ff097ab8f27ec201e19e320cd3f8", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 2,476 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "duration": "\u4f7f\u7528 6,753 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, @@ -9278,8 +15777,8 @@ "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, - "job": "25-robodojo-make-kong-codex-seed0-attempt01", - "attempt": 1, + "job": "53-robodojo-sweep-blocks-codex-seed0-attempt02", + "attempt": 2, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", @@ -9300,53 +15799,58 @@ "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, - "session_original_sha256": "582f758b68dbf9ec564b43b177768a2188f2669bd349cf965a7a2ea12f090e85", - "protocol_sha256": "1fc4df2b6175d238be961281622ba215bef1bcdb21ea23cbe6f10a9795467980" + "session_original_sha256": "be31666114aa261782249264dd083ce5b32fbb390f72531eecbc57b471e032f9", + "protocol_sha256": "56d44fedec316c2ce14ed4b5c39044883d7c867957d2d59950232a1041e8cfbd" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/resources/tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/resources/tools/robot.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "skills/robodojo/SKILL.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/resources/skills/robodojo/SKILL.md", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/resources/memos/robodojo.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 200, - "observed_images": 33, - "tool_errors": 4 + "visible_events": 439, + "observed_images": 53, + "tool_errors": 9 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/25/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/" }, { - "id": "task04-27-seed0-formal", - "task_key": "task04/27", - "family": "task04", - "slot": "27", + "id": "task02-03-seed0-formal", + "task_key": "task02/03", + "family": "task02", + "slot": "03", "seed": 0, "episode": 1, "phase": "formal", @@ -9360,61 +15864,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 484, + "steps": 2013, "success": true, "termination": "success" }, - "steps": 484, + "steps": 2013, "simulation_time_s": null, - "wall_time_s": 314.65821, + "wall_time_s": 531.974225, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Remember the first object on the conveyor, then pick the matching object when it appears again.", - "instruction": "Remember the first object on the conveyor, then pick the matching object when it appears again.", + "native_instruction": "turn on the stove and put the moka pot on it", + "instruction": "turn on the stove and put the moka pot on it", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9657021376219193, - "cache_reported_input_tokens": 1059308, + "cache_hit_rate": 0.967178914688548, + "cache_reported_input_tokens": 2225094, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 1059308, - "cached_input_tokens": 1022976, + "cache_write_reported_input_tokens": 2225094, + "cached_input_tokens": 2152064, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 1059308, + "input_tokens": 2225094, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 1022976, - "known_input_tokens": 1059308, - "known_output_tokens": 5961, - "known_reasoning_output_tokens": 1266, - "output_tokens": 5961, - "reasoning_output_tokens": 1266, - "reasoning_reported_output_tokens": 5961, + "known_cached_input_tokens": 2152064, + "known_input_tokens": 2225094, + "known_output_tokens": 13673, + "known_reasoning_output_tokens": 5025, + "output_tokens": 13673, + "reasoning_output_tokens": 5025, + "reasoning_reported_output_tokens": 13673, "reported_responses": { - "cache_reported_input_tokens": 34, - "cache_write_input_tokens": 34, - "cache_write_reported_input_tokens": 34, - "cached_input_tokens": 34, - "input_tokens": 34, - "output_tokens": 34, - "reasoning_output_tokens": 34, - "reasoning_reported_output_tokens": 34 - }, - "response_count": 34, + "cache_reported_input_tokens": 50, + "cache_write_input_tokens": 50, + "cache_write_reported_input_tokens": 50, + "cached_input_tokens": 50, + "input_tokens": 50, + "output_tokens": 50, + "reasoning_output_tokens": 50, + "reasoning_reported_output_tokens": 50 + }, + "response_count": 50, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 36332, + "uncached_input_tokens": 73030, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 33, + "model_tool_calls": 49, "model_tool_calls_by_name": { - "exec": 33 + "exec": 49 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -9428,23 +15932,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 4.85, + "duration_s": 25.1, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 195, - "captured_samples": 195, + "accepted_samples": 1005, + "captured_samples": 1005, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 194, - "end_time_s": 19.359999999999765, + "encoded_frames": 1005, + "end_time_s": 100.39999999999644, "error": null, "experimental": true, "fps": 10, - "received_samples": 195, + "received_samples": 1005, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -9455,37 +15959,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "60d25b2c13bced27c981d498b8b5bbbdb69eed3765a49e79d191b422ce7f5883", + "sha256": "7406566cb47cae744e1b3419f06e02902b3d0960f44bb43f834f854be2856a8b", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 484 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 2,013 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -9500,7 +15995,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -9520,13 +16016,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "27-robodojo-match-and-pick-from-conveyor-codex-seed0-attempt01", + "job": "task02-03-libero-10-03-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 1, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -9543,62 +16065,68 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, - "session_original_sha256": "1817741b18e5d58c4d9b0703d89631df097eeb8c42da1105db405edf09674a53", - "protocol_sha256": "4c9a990682a0a89bb584861b32a8cfe09170766f00e78e5e9a92588d42764808" + "session_original_sha256": "1b15535aa021d5a8418eb769b8e775c2301397b3e9f98ec7f75fc7c9dd9a053c", + "protocol_sha256": "4ee86729ea6301a80cd237762045640ac298b6dfd27faf0547387137274f2fcd" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/conveyor.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/resources/tools/conveyor.py", + "name": "tools/panda.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/resources/tools/panda.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/conveyor.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/resources/memos/conveyor.md", + "name": "tools/triangulate.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/resources/tools/triangulate.py", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/libero_panda.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 76, - "observed_images": 18, + "visible_events": 110, + "observed_images": 62, "tool_errors": 4 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/27/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/03/seed-0/" }, - { - "id": "task04-28-seed0-formal", - "task_key": "task04/28", - "family": "task04", - "slot": "28", + { + "id": "task01-01-seed0-formal", + "task_key": "task01/01", + "family": "task01", + "slot": "01", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, - "native_reward": 0.75, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -9606,61 +16134,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 4143, + "steps": 5496, "success": false, "termination": "stopped" }, - "steps": 4143, - "simulation_time_s": null, - "wall_time_s": 2081.067517, + "steps": 5496, + "simulation_time_s": 274.8, + "wall_time_s": 1267.271401, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Place the alarm clock on the drawer, put the figurine on the stand, place the mouse on the mouse pad, and push the keyboard into the frame.", - "instruction": "Place the alarm clock upright on top of the drawer unit and stand the figurine upright at the center of its small stand. Place the mouse flat on the mouse pad in its normal working orientation, with its front pointing toward the monitor. Push the keyboard flat into the outlined frame, aligned with the frame and facing the robot. Let all four objects settle, release them, and return both arms to their starting poses.", + "native_instruction": "Place the mayonnaise and mustard from the counter to the top shelf of the fridge. If the existing items in the fridge are on the top shelf, move them to other shelves.", + "instruction": "Place the specified condiments from the counter on the top shelf of the fridge. Move any existing top-shelf items to other shelves. Release the items and move the gripper clear of the stored items.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9848270419416297, - "cache_reported_input_tokens": 6791820, + "cache_hit_rate": 0.9875774826559943, + "cache_reported_input_tokens": 7077229, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 6791820, - "cached_input_tokens": 6688768, + "cache_write_reported_input_tokens": 7077229, + "cached_input_tokens": 6989312, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 6791820, + "input_tokens": 7077229, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 6688768, - "known_input_tokens": 6791820, - "known_output_tokens": 30892, - "known_reasoning_output_tokens": 16263, - "output_tokens": 30892, - "reasoning_output_tokens": 16263, - "reasoning_reported_output_tokens": 30892, + "known_cached_input_tokens": 6989312, + "known_input_tokens": 7077229, + "known_output_tokens": 20496, + "known_reasoning_output_tokens": 5873, + "output_tokens": 20496, + "reasoning_output_tokens": 5873, + "reasoning_reported_output_tokens": 20496, "reported_responses": { - "cache_reported_input_tokens": 114, - "cache_write_input_tokens": 114, - "cache_write_reported_input_tokens": 114, - "cached_input_tokens": 114, - "input_tokens": 114, - "output_tokens": 114, - "reasoning_output_tokens": 114, - "reasoning_reported_output_tokens": 114 - }, - "response_count": 114, + "cache_reported_input_tokens": 140, + "cache_write_input_tokens": 140, + "cache_write_reported_input_tokens": 140, + "cached_input_tokens": 140, + "input_tokens": 140, + "output_tokens": 140, + "reasoning_output_tokens": 140, + "reasoning_reported_output_tokens": 140 + }, + "response_count": 140, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 103052, + "uncached_input_tokens": 87917, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 113, + "model_tool_calls": 139, "model_tool_calls_by_name": { - "exec": 113 + "exec": 139 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -9674,23 +16202,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 41.45, + "duration_s": 68.7, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1658, - "captured_samples": 1658, + "accepted_samples": 2749, + "captured_samples": 2749, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 1658, - "end_time_s": 165.7200000000013, + "encoded_frames": 2749, + "end_time_s": 274.8000000000282, "error": null, "experimental": true, "fps": 10, - "received_samples": 1658, + "received_samples": 2749, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -9701,37 +16229,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "9f04386472a5b79b4fc4b6e4144f05536bb036fc6590fc3d1e0361b8c4e9ceef", + "sha256": "f5bed61912d5964665c8153f7025f6e7fc77b6cf69bf940b5721224ae5610326", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 4,143 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "duration": "\u4f7f\u7528 5,496 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, @@ -9747,7 +16266,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -9767,13 +16287,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "28-robodojo-organize-table-codex-seed0-attempt01", + "job": "task01-01-load-condiments-in-fridge-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 1, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -9790,62 +16336,63 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "c72f4e17aad1bdc734a34ea7be9baea970ad0daefaa068b1f075ce3594d580b4", - "protocol_sha256": "5547f2ca84e4a90c7e8d6f7972573843c4cf5c907cf296c4d9cbd5a83caec610" + "session_original_sha256": "00f8edb58d15a1023f4ee4a053e44fb4ee631da2b2a0fb2005eecbfac954309d", + "protocol_sha256": "a080e2d2fe0139ffe12d237f92d7ed6874269c53d0239657accc8b22d9ea3c9f" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/resources/tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/resources/memos/robodojo.md", + "name": "memos/robocasa-control.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/resources/memos/robocasa-control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 251, - "observed_images": 60, - "tool_errors": 7 + "visible_events": 302, + "observed_images": 84, + "tool_errors": 5 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/28/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/01/seed-0/" }, { - "id": "task04-29-seed0-formal", - "task_key": "task04/29", - "family": "task04", - "slot": "29", + "id": "task01-02-seed0-formal", + "task_key": "task01/02", + "family": "task01", + "slot": "02", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": true, - "native_reward": 1.0, + "success": false, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -9853,61 +16400,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 6433, - "success": true, - "termination": "success" + "steps": 5903, + "success": false, + "termination": "stopped" }, - "steps": 6433, - "simulation_time_s": null, - "wall_time_s": 2657.323509, + "steps": 5903, + "simulation_time_s": 295.15, + "wall_time_s": 1211.904863, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Place all the objects into the box with their front sides facing left.", - "instruction": "Place all four objects inside the bottom of the box, with their front sides facing left from the robot's viewpoint and their lengths aligned along the box. Keep the box upright with its long sides running left to right across the table. Release the objects and return both arms to their starting poses.", + "native_instruction": "Remove the mango from the bowl and place it on the small plate. Then place the bowl with only the steak in the microwave, close the door, and press the start button to microwave the steak.", + "instruction": "Remove the specified fruit from the bowl and place it on the small plate. Then place the bowl with only the specified meat in the microwave, close the door, and press the start button to microwave the meat. Release the bowl and move the gripper clear of it.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.985806960138145, - "cache_reported_input_tokens": 12341824, + "cache_hit_rate": 0.9810887797632594, + "cache_reported_input_tokens": 4438106, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 12341824, - "cached_input_tokens": 12166656, + "cache_write_reported_input_tokens": 4438106, + "cached_input_tokens": 4354176, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 12341824, + "input_tokens": 4438106, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 12166656, - "known_input_tokens": 12341824, - "known_output_tokens": 39288, - "known_reasoning_output_tokens": 20764, - "output_tokens": 39288, - "reasoning_output_tokens": 20764, - "reasoning_reported_output_tokens": 39288, + "known_cached_input_tokens": 4354176, + "known_input_tokens": 4438106, + "known_output_tokens": 22048, + "known_reasoning_output_tokens": 9003, + "output_tokens": 22048, + "reasoning_output_tokens": 9003, + "reasoning_reported_output_tokens": 22048, "reported_responses": { - "cache_reported_input_tokens": 172, - "cache_write_input_tokens": 172, - "cache_write_reported_input_tokens": 172, - "cached_input_tokens": 172, - "input_tokens": 172, - "output_tokens": 172, - "reasoning_output_tokens": 172, - "reasoning_reported_output_tokens": 172 - }, - "response_count": 172, + "cache_reported_input_tokens": 86, + "cache_write_input_tokens": 86, + "cache_write_reported_input_tokens": 86, + "cached_input_tokens": 86, + "input_tokens": 86, + "output_tokens": 86, + "reasoning_output_tokens": 86, + "reasoning_reported_output_tokens": 86 + }, + "response_count": 86, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 175168, + "uncached_input_tokens": 83930, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 171, + "model_tool_calls": 85, "model_tool_calls_by_name": { - "exec": 171 + "exec": 85 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -9921,23 +16468,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 64.35, + "duration_s": 73.8, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 2574, - "captured_samples": 2574, + "accepted_samples": 2953, + "captured_samples": 2953, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 2574, - "end_time_s": 257.319999999984, + "encoded_frames": 2952, + "end_time_s": 295.15000000003283, "error": null, "experimental": true, "fps": 10, - "received_samples": 2574, + "received_samples": 2953, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -9948,38 +16495,30 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "8b4d310b6dc63abb0100121b03fe18a0b07a44a2a63f6df843064e356fb18898", + "sha256": "e60624e8afd162c74aaf3bbedbad70727acaa7fc0e99c744bd8fae140dadde29", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 6,433 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 5,903 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { @@ -9993,7 +16532,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -10013,13 +16553,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "29-robodojo-pack-objects-into-box-codex-seed0-attempt01", + "job": "task01-02-filter-microwavable-item-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 2, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -10036,56 +16602,57 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "a310e18ccc4536315f21afc01221789490558fff6e3c316dc38c7fafeeaca76b", - "protocol_sha256": "d344c9afa60711fa33950eb1a8cfc805ff7c78c5ad9b476e4f3f524638f5980c" + "session_original_sha256": "748dc4e07c451e276bc70229783e8154ae17c84f3b56b71ea1ddf58ec0c27f75", + "protocol_sha256": "1574aac678202802d3a7f391e140c19708280b6bbc85fa11f3d59e948633a852" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arm_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/resources/tools/arm_control.py", + "name": "tools/control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/resources/tools/control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/resources/memos/robodojo.md", + "name": "memos/robocasa.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/resources/memos/robocasa.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 371, - "observed_images": 56, - "tool_errors": 9 + "visible_events": 189, + "observed_images": 119, + "tool_errors": 4 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/29/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/02/seed-0/" }, { - "id": "task04-31-seed0-formal", - "task_key": "task04/31", - "family": "task04", - "slot": "31", + "id": "task01-03-seed0-formal", + "task_key": "task01/03", + "family": "task01", + "slot": "03", "seed": 0, "episode": 1, "phase": "formal", @@ -10099,61 +16666,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 863, + "steps": 5053, "success": false, "termination": "stopped" }, - "steps": 863, - "simulation_time_s": null, - "wall_time_s": 1296.406492, + "steps": 5053, + "simulation_time_s": 252.65, + "wall_time_s": 1749.701956, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Lift the basket more than 8 cm, identify the target object on the conveyor according to the image on the board, pick it up, and place it into the basket.", - "instruction": "Identify the target object on the conveyor from the image on the board. Lift and hold the basket more than 8 cm above its starting height, then pick up the matching object and place it down inside the basket. Keep the basket raised, with the object resting at its bottom and more than 8 cm above its original height.", + "native_instruction": "Place two dumplings into each of the tupperware containers and then place the containers in the fridge.", + "instruction": "Place two dumplings into each of the tupperware containers and then place both containers on a shelf in the fridge. Release the dumplings and containers and move the gripper clear of them.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9752413698477898, - "cache_reported_input_tokens": 3797181, + "cache_hit_rate": 0.9899699443798293, + "cache_reported_input_tokens": 11115392, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 3797181, - "cached_input_tokens": 3703168, + "cache_write_reported_input_tokens": 11115392, + "cached_input_tokens": 11003904, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 3797181, + "input_tokens": 11115392, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 3703168, - "known_input_tokens": 3797181, - "known_output_tokens": 23800, - "known_reasoning_output_tokens": 11319, - "output_tokens": 23800, - "reasoning_output_tokens": 11319, - "reasoning_reported_output_tokens": 23800, + "known_cached_input_tokens": 11003904, + "known_input_tokens": 11115392, + "known_output_tokens": 29598, + "known_reasoning_output_tokens": 14166, + "output_tokens": 29598, + "reasoning_output_tokens": 14166, + "reasoning_reported_output_tokens": 29598, "reported_responses": { - "cache_reported_input_tokens": 65, - "cache_write_input_tokens": 65, - "cache_write_reported_input_tokens": 65, - "cached_input_tokens": 65, - "input_tokens": 65, - "output_tokens": 65, - "reasoning_output_tokens": 65, - "reasoning_reported_output_tokens": 65 - }, - "response_count": 65, + "cache_reported_input_tokens": 171, + "cache_write_input_tokens": 171, + "cache_write_reported_input_tokens": 171, + "cached_input_tokens": 171, + "input_tokens": 171, + "output_tokens": 171, + "reasoning_output_tokens": 171, + "reasoning_reported_output_tokens": 171 + }, + "response_count": 171, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 94013, + "uncached_input_tokens": 111488, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 64, + "model_tool_calls": 170, "model_tool_calls_by_name": { - "exec": 64 + "exec": 170 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -10167,23 +16734,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 8.65, + "duration_s": 63.15, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 346, - "captured_samples": 346, + "accepted_samples": 2528, + "captured_samples": 2528, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 346, - "end_time_s": 34.51999999999944, + "encoded_frames": 2527, + "end_time_s": 252.6500000000232, "error": null, "experimental": true, "fps": 10, - "received_samples": 346, + "received_samples": 2528, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -10192,39 +16759,30 @@ "fov_y": 45.0, "height": 720, "name": "third_person", - "pose": null, - "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "pose": null, + "source": "third_person", + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "885151826ea1b79abd7772d71bb25c1fe86d2f09dcfddd47938e6381c5fbe6de", + "sha256": "846d4b0f59787f8085bb4d75001947b38c98a921df6a24a7b4725b1c5defeb7e", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 863 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "duration": "\u4f7f\u7528 5,053 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, @@ -10240,7 +16798,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -10260,13 +16819,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "31-robodojo-pick-from-conveyor-by-image-codex-seed0-attempt01", + "job": "task01-03-store-dumplings-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 3, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -10283,62 +16868,63 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "aa769c4c945fa18e304b7d4d5d8c9c603afb75f438dc03b941fd4b9eb08f7fe0", - "protocol_sha256": "9ce80cb246bf47f91aa2889530d7ef56aa5498f223bbd77c69f483653254c63d" + "session_original_sha256": "3727d3ba9858d52717f4a0788ee169b35997293f08ec7da318303e6773732923", + "protocol_sha256": "66c49605362349c72c2effedd9355205c3fce52ef9b59b59c366c0fdd30aa3e1" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/resources/tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/resources/memos/robodojo.md", + "name": "memos/robocasa-control.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/resources/memos/robocasa-control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 141, - "observed_images": 78, - "tool_errors": 7 + "visible_events": 371, + "observed_images": 113, + "tool_errors": 4 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/31/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/03/seed-0/" }, { - "id": "task04-32-seed0-formal", - "task_key": "task04/32", - "family": "task04", - "slot": "32", + "id": "task01-04-seed0-formal", + "task_key": "task01/04", + "family": "task01", + "slot": "04", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": true, - "native_reward": 0.75, + "success": false, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -10346,61 +16932,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 2665, - "success": true, - "termination": "success" + "steps": 5435, + "success": false, + "termination": "stopped" }, - "steps": 2665, - "simulation_time_s": null, - "wall_time_s": 1171.199711, + "steps": 5435, + "simulation_time_s": 271.75, + "wall_time_s": 1973.915146, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Play tic-tac-toe as the first player and fill the board with the opponent.", - "instruction": "Take the first turn and alternate with the opponent until the tic-tac-toe board is full, placing one ring flat in an empty cell on each turn. After each move, release the piece and return both arms to their starting poses, waiting there until the opponent finishes its move.", + "native_instruction": "Gather the mushroom and bell pepper from the fridge and place them on a tray on the dining counter. Then gather the chicken drumsticks from the fridge and place them on the other tray.", + "instruction": "Gather the specified vegetables from the fridge and place them on a tray on the dining counter. Then gather the specified meats from the fridge and place them on the other tray. Release the food and move the gripper clear of the food and both trays.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9808588531628272, - "cache_reported_input_tokens": 3137952, + "cache_hit_rate": 0.9899239913597869, + "cache_reported_input_tokens": 11714063, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 3137952, - "cached_input_tokens": 3077888, + "cache_write_reported_input_tokens": 11714063, + "cached_input_tokens": 11596032, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 3137952, + "input_tokens": 11714063, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 3077888, - "known_input_tokens": 3137952, - "known_output_tokens": 12655, - "known_reasoning_output_tokens": 2990, - "output_tokens": 12655, - "reasoning_output_tokens": 2990, - "reasoning_reported_output_tokens": 12655, + "known_cached_input_tokens": 11596032, + "known_input_tokens": 11714063, + "known_output_tokens": 32111, + "known_reasoning_output_tokens": 11814, + "output_tokens": 32111, + "reasoning_output_tokens": 11814, + "reasoning_reported_output_tokens": 32111, "reported_responses": { - "cache_reported_input_tokens": 76, - "cache_write_input_tokens": 76, - "cache_write_reported_input_tokens": 76, - "cached_input_tokens": 76, - "input_tokens": 76, - "output_tokens": 76, - "reasoning_output_tokens": 76, - "reasoning_reported_output_tokens": 76 - }, - "response_count": 76, + "cache_reported_input_tokens": 190, + "cache_write_input_tokens": 190, + "cache_write_reported_input_tokens": 190, + "cached_input_tokens": 190, + "input_tokens": 190, + "output_tokens": 190, + "reasoning_output_tokens": 190, + "reasoning_reported_output_tokens": 190 + }, + "response_count": 190, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 60064, + "uncached_input_tokens": 118031, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 75, + "model_tool_calls": 189, "model_tool_calls_by_name": { - "exec": 75 + "exec": 189 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -10414,23 +17000,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 26.65, + "duration_s": 67.95, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1067, - "captured_samples": 1067, + "accepted_samples": 2719, + "captured_samples": 2719, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 1067, - "end_time_s": 106.60000000000547, + "encoded_frames": 2718, + "end_time_s": 271.7500000000275, "error": null, "experimental": true, "fps": 10, - "received_samples": 1067, + "received_samples": 2719, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -10441,38 +17027,30 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "23c68283f64bbac7ac760c388d76532ee8f7bb326ab8191d186229424eb4bed8", + "sha256": "e0f50542a3275a5478c3d58d8b6802ca053ef8584e50d91bdf6833ddf14c4517", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 2,665 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 5,435 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { @@ -10486,7 +17064,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -10506,13 +17085,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "32-robodojo-play-tic-tac-toe-codex-seed0-attempt01", + "job": "task01-04-divide-buffet-trays-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 6, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -10529,61 +17134,57 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "69f372f7532694f03c2a023bbb440b521596d52fb31d11a31cdda8d4184aeb4b", - "protocol_sha256": "00eed76b0a0f2e74c99ae3f70a20940787ab4c6232c63f6d71e5834abb43b1df" + "session_original_sha256": "c3183edbfa27e84e730ab8978fe6db2e64bc04e32a327d4594af4c5a6844be0e", + "protocol_sha256": "1ee5b218734e6a1617f3d05d489c52600880cddfc683e60accdf644d04e51bbb" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/resources/tools/robot.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/tic_tac_toe.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/resources/tools/tic_tac_toe.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo-tic-tac-toe.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/resources/memos/robodojo-tic-tac-toe.md", + "name": "memos/robocasa-control.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/resources/memos/robocasa-control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 175, - "observed_images": 19, - "tool_errors": 3 + "visible_events": 399, + "observed_images": 122, + "tool_errors": 7 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/32/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/04/seed-0/" }, { - "id": "task04-33-seed0-formal", - "task_key": "task04/33", - "family": "task04", - "slot": "33", + "id": "task01-05-seed0-formal", + "task_key": "task01/05", + "family": "task01", + "slot": "05", "seed": 0, "episode": 1, "phase": "formal", @@ -10597,61 +17198,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 964, + "steps": 5224, "success": true, "termination": "success" }, - "steps": 964, - "simulation_time_s": null, - "wall_time_s": 596.447968, + "steps": 5224, + "simulation_time_s": 261.2, + "wall_time_s": 1964.925029, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Plug the charger into the power strip.", - "instruction": "Plug the charger fully into a socket on the power strip, then release it and return both arms to their starting poses.", + "native_instruction": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer bowl and then turn the speed knob to begin making cheesecake filling.", + "instruction": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer bowl, lower the mixer head fully, and turn the speed knob to begin making cheesecake filling.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9748734468476761, - "cache_reported_input_tokens": 2129540, + "cache_hit_rate": 0.9885663091343345, + "cache_reported_input_tokens": 12355153, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 2129540, - "cached_input_tokens": 2076032, + "cache_write_reported_input_tokens": 12355153, + "cached_input_tokens": 12213888, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 2129540, + "input_tokens": 12355153, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 2076032, - "known_input_tokens": 2129540, - "known_output_tokens": 9894, - "known_reasoning_output_tokens": 3027, - "output_tokens": 9894, - "reasoning_output_tokens": 3027, - "reasoning_reported_output_tokens": 9894, + "known_cached_input_tokens": 12213888, + "known_input_tokens": 12355153, + "known_output_tokens": 35229, + "known_reasoning_output_tokens": 13787, + "output_tokens": 35229, + "reasoning_output_tokens": 13787, + "reasoning_reported_output_tokens": 35229, "reported_responses": { - "cache_reported_input_tokens": 51, - "cache_write_input_tokens": 51, - "cache_write_reported_input_tokens": 51, - "cached_input_tokens": 51, - "input_tokens": 51, - "output_tokens": 51, - "reasoning_output_tokens": 51, - "reasoning_reported_output_tokens": 51 - }, - "response_count": 51, + "cache_reported_input_tokens": 202, + "cache_write_input_tokens": 202, + "cache_write_reported_input_tokens": 202, + "cached_input_tokens": 202, + "input_tokens": 202, + "output_tokens": 202, + "reasoning_output_tokens": 202, + "reasoning_reported_output_tokens": 202 + }, + "response_count": 202, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 53508, + "uncached_input_tokens": 141265, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 50, + "model_tool_calls": 201, "model_tool_calls_by_name": { - "exec": 50 + "exec": 201 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -10665,23 +17266,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 9.65, + "duration_s": 65.3, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 387, - "captured_samples": 387, + "accepted_samples": 2613, + "captured_samples": 2613, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 386, - "end_time_s": 38.559999999999356, + "encoded_frames": 2613, + "end_time_s": 261.2000000000251, "error": null, "experimental": true, "fps": 10, - "received_samples": 387, + "received_samples": 2613, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -10692,37 +17293,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "7940de8cadc0eda4f274e349f87d147dd0925847c2591f649c0aea488de67656", + "sha256": "64bd66f69c3baf1ad63aa89ccf9c1fa6c0097f553d6fb0b855c213454b12d0c1", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 964 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 5,224 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -10737,7 +17329,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -10757,13 +17350,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "33-robodojo-plug-in-charger-codex-seed0-attempt01", + "job": "task01-05-make-cheesecake-filling-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 7, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -10780,62 +17399,63 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "b15191e10205ded361e224d2fd269313e7eb8b9632e01a4914c3d61ad2f5927f", - "protocol_sha256": "3ad1206a40141e1e795d8afd438e9e3d126c9c09ac4c8c256bb2fcb5970c2411" + "session_original_sha256": "2e45f5a2bfc87c915949b1e9209e881afc34cbfa6b50268ae2ddaaaf1db45ec2", + "protocol_sha256": "09896ba5b0aa8989cea18da115f01eb7144582b8c97b2953b5d3ea2dd0eb42fa" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arx.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/resources/tools/arx.py", + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo-arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/resources/memos/robodojo-arx.md", + "name": "memos/robocasa_manipulation.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/resources/memos/robocasa_manipulation.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 114, - "observed_images": 25, + "visible_events": 430, + "observed_images": 97, "tool_errors": 5 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/33/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/05/seed-0/" }, - { - "id": "task04-34-seed0-formal", - "task_key": "task04/34", - "family": "task04", - "slot": "34", + { + "id": "task01-06-seed0-formal", + "task_key": "task01/06", + "family": "task01", + "slot": "06", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": true, - "native_reward": 1.0, + "success": false, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -10843,61 +17463,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 5938, - "success": true, - "termination": "success" + "steps": 5416, + "success": false, + "termination": "stopped" }, - "steps": 5938, - "simulation_time_s": null, - "wall_time_s": 2498.288071, + "steps": 5416, + "simulation_time_s": 270.8, + "wall_time_s": 1456.598048, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pour all the balls from the cup into the vase.", - "instruction": "Pour all seven balls from the cup into the vase. Leave every ball inside the vase, put the empty cup down upright, and return both arms to their starting poses.", + "native_instruction": "Turn on the sink faucet. Then move the lemon wedge from the counter to the sink. Turn off the sink. Move the vegetable from the sink to the pot next to the stove. Finally move the pot to the rear left burner.", + "instruction": "Turn on the sink faucet. Move the specified vegetable from the counter into the sink while the water is running. Turn off the faucet, move the vegetable into the pot next to the stove, and move the pot to the specified burner.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.987984877004603, - "cache_reported_input_tokens": 10284206, + "cache_hit_rate": 0.9880091550479709, + "cache_reported_input_tokens": 9630097, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 10284206, - "cached_input_tokens": 10160640, + "cache_write_reported_input_tokens": 9630097, + "cached_input_tokens": 9514624, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 10284206, + "input_tokens": 9630097, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 10160640, - "known_input_tokens": 10284206, - "known_output_tokens": 35628, - "known_reasoning_output_tokens": 14913, - "output_tokens": 35628, - "reasoning_output_tokens": 14913, - "reasoning_reported_output_tokens": 35628, + "known_cached_input_tokens": 9514624, + "known_input_tokens": 9630097, + "known_output_tokens": 24897, + "known_reasoning_output_tokens": 10825, + "output_tokens": 24897, + "reasoning_output_tokens": 10825, + "reasoning_reported_output_tokens": 24897, "reported_responses": { - "cache_reported_input_tokens": 149, - "cache_write_input_tokens": 149, - "cache_write_reported_input_tokens": 149, - "cached_input_tokens": 149, - "input_tokens": 149, - "output_tokens": 149, - "reasoning_output_tokens": 149, - "reasoning_reported_output_tokens": 149 - }, - "response_count": 149, + "cache_reported_input_tokens": 145, + "cache_write_input_tokens": 145, + "cache_write_reported_input_tokens": 145, + "cached_input_tokens": 145, + "input_tokens": 145, + "output_tokens": 145, + "reasoning_output_tokens": 145, + "reasoning_reported_output_tokens": 145 + }, + "response_count": 145, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 123566, + "uncached_input_tokens": 115473, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 148, + "model_tool_calls": 144, "model_tool_calls_by_name": { - "exec": 148 + "exec": 144 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -10911,23 +17531,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 59.4, + "duration_s": 67.7, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 2376, - "captured_samples": 2376, + "accepted_samples": 2709, + "captured_samples": 2709, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 2376, - "end_time_s": 237.51999999998702, + "encoded_frames": 2709, + "end_time_s": 270.8000000000273, "error": null, "experimental": true, "fps": 10, - "received_samples": 2376, + "received_samples": 2709, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -10938,38 +17558,30 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "9dd792f2a52359231fe3cb3e738ba709a064dba363bed4ee65db31401af9391a", + "sha256": "5b5c91a8fe6002978329674a82d9571b8b84e164f886d2e4ef6c55dbefe4aa27", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 5,938 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 5,416 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { @@ -10983,7 +17595,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -11003,13 +17616,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "34-robodojo-pour-balls-into-vase-codex-seed0-attempt01", + "job": "task01-06-multistep-steaming-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 4, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -11026,56 +17665,62 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "176d087554e882bcab801bc31a9300c31ba286aac43f5d9d559258cd18a4f933", - "protocol_sha256": "9b55de7e87971566acdb0c291a2500699e8a0a888faf6e71d4ce3fff56b5480b" + "session_original_sha256": "be66f589b21a17eb88128e062bb12086b2194b29cef48af536daa19951c062f0", + "protocol_sha256": "30fb270b4f0830e49eae5d8c77ee418edc397414725233a4c11f2985fee95fe7" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/resources/tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/pour_balls.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/resources/memos/pour_balls.md", + "name": "skills/robocasa-manipulation.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/resources/skills/robocasa-manipulation.md", + "kind": "Created during this episode; final workspace snapshot." + }, + { + "name": "memos/robocasa-control.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/resources/memos/robocasa-control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 322, - "observed_images": 75, - "tool_errors": 3 + "visible_events": 309, + "observed_images": 93, + "tool_errors": 1 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/34/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/06/seed-0/" }, { - "id": "task04-35-seed0-formal", - "task_key": "task04/35", - "family": "task04", - "slot": "35", + "id": "task01-07-seed0-formal", + "task_key": "task01/07", + "family": "task01", + "slot": "07", "seed": 0, "episode": 1, "phase": "formal", @@ -11089,61 +17734,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 1616, + "steps": 1426, "success": false, "termination": "stopped" }, - "steps": 1616, - "simulation_time_s": null, - "wall_time_s": 834.470016, + "steps": 1426, + "simulation_time_s": 71.3, + "wall_time_s": 394.373333, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pour the liquid from the first violet bottle into the first black bowl, from the second red bottle into the second white bowl, and from the third turquoise bottle into the third brown bowl. Then reset the robot arm.", - "instruction": "Pour the liquid from the first violet bottle into the first black bowl, from the second red bottle into the second white bowl, and from the third turquoise bottle into the third brown bowl. Then reset the robot arm.", - "instruction_policy": "original_native", + "native_instruction": "Take the chicken drumstick from the fridge and place it on the digital scale on the counter by the fridge. Wait a few seconds for a reading, then move it to the plate on the dining counter.", + "instruction": "Take the specified meat from the fridge and place it on the digital scale on the counter by the fridge. Release it and move the gripper clear while waiting a few seconds for a reading. Then move it to the plate on the dining counter, release it, and move the gripper clear.", + "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9667383369019035, - "cache_reported_input_tokens": 2677076, + "cache_hit_rate": 0.9663948735854094, + "cache_reported_input_tokens": 1217225, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 2677076, - "cached_input_tokens": 2588032, + "cache_write_reported_input_tokens": 1217225, + "cached_input_tokens": 1176320, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 2677076, + "input_tokens": 1217225, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 2588032, - "known_input_tokens": 2677076, - "known_output_tokens": 11360, - "known_reasoning_output_tokens": 3492, - "output_tokens": 11360, - "reasoning_output_tokens": 3492, - "reasoning_reported_output_tokens": 11360, + "known_cached_input_tokens": 1176320, + "known_input_tokens": 1217225, + "known_output_tokens": 8600, + "known_reasoning_output_tokens": 2758, + "output_tokens": 8600, + "reasoning_output_tokens": 2758, + "reasoning_reported_output_tokens": 8600, "reported_responses": { - "cache_reported_input_tokens": 69, - "cache_write_input_tokens": 69, - "cache_write_reported_input_tokens": 69, - "cached_input_tokens": 69, - "input_tokens": 69, - "output_tokens": 69, - "reasoning_output_tokens": 69, - "reasoning_reported_output_tokens": 69 - }, - "response_count": 69, + "cache_reported_input_tokens": 36, + "cache_write_input_tokens": 36, + "cache_write_reported_input_tokens": 36, + "cached_input_tokens": 36, + "input_tokens": 36, + "output_tokens": 36, + "reasoning_output_tokens": 36, + "reasoning_reported_output_tokens": 36 + }, + "response_count": 36, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 89044, + "uncached_input_tokens": 40905, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 68, + "model_tool_calls": 35, "model_tool_calls_by_name": { - "exec": 68 + "exec": 35 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -11157,23 +17802,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 16.15, + "duration_s": 17.85, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 648, - "captured_samples": 648, + "accepted_samples": 714, + "captured_samples": 714, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 647, - "end_time_s": 64.6399999999989, + "encoded_frames": 714, + "end_time_s": 71.2999999999981, "error": null, "experimental": true, "fps": 10, - "received_samples": 648, + "received_samples": 714, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -11184,37 +17829,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "207a29db68023f38d3e81e5c185ee358ef76f4dd8482e610e43b1fdc41d39da7", + "sha256": "a8988c3e18e487a59ae8c59443039e5e090072a7231c107d7d992606053c496d", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 1,616 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "duration": "\u4f7f\u7528 1,426 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, @@ -11230,7 +17866,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -11250,13 +17887,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "35-robodojo-pour-by-language-codex-seed0-attempt01", + "job": "task01-07-scale-portioning-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 0, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -11273,62 +17936,63 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "9823e4fb42ba34ba2a7c47bd1c5cd29624d9352da943026e6dd86a61f1da18b5", - "protocol_sha256": "b10751bbc24694b2b82ddcb85171f0806a4d2c357f0001a79f4780ffb7e227aa" + "session_original_sha256": "f033ba25eb22c9fc4640566a5e212f05b379f90597d9a6b30d804a7c9bf18ca3", + "protocol_sha256": "d8853a96f748501bccf41fbca04175e69b3b4b557976e14e245ba24ea58d7323" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arx.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/resources/tools/arx.py", + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/resources/memos/robodojo.md", + "name": "memos/robocasa_control.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/resources/memos/robocasa_control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 154, - "observed_images": 17, - "tool_errors": 2 + "visible_events": 84, + "observed_images": 35, + "tool_errors": 1 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/35/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/07/seed-0/" }, { - "id": "task04-36-seed0-formal", - "task_key": "task04/36", - "family": "task04", - "slot": "36", + "id": "task01-08-seed0-formal", + "task_key": "task01/08", + "family": "task01", + "slot": "08", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": true, - "native_reward": 1.0, + "success": false, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -11336,61 +18000,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 1071, - "success": true, - "termination": "success" + "steps": 1212, + "success": false, + "termination": "stopped" }, - "steps": 1071, - "simulation_time_s": null, - "wall_time_s": 777.348758, + "steps": 1212, + "simulation_time_s": 60.6, + "wall_time_s": 276.421696, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pour the liquid from the bottle into the cup.", - "instruction": "Pour nearly all the liquid into the cup with almost no spillage. Keep the bottle tilted over the cup until the flow stops and the liquid settles, then return it upright, leaving only a small residue inside.", + "native_instruction": "Pick up the sponge from the counter and clean the cutting board by briefly scrubbing or pressing down on the cutting board. Once finished, release the sponge.", + "instruction": "Pick up the sponge from the counter and scrub across a broad area of the cutting board, keeping the sponge grasped and in contact with the board throughout the scrubbing motion. Once finished, release the sponge and retract the gripper well away from it.", "instruction_policy": "modified", - "usage": { - "accounting": "reported-responses", - "audit_complete": true, - "cache_hit_rate": 0.9768983350616229, - "cache_reported_input_tokens": 2577693, - "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 2577693, - "cached_input_tokens": 2518144, - "completed_turns": 1, - "cost_usd": null, - "failed_turns": 0, - "input_tokens": 2577693, - "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 2518144, - "known_input_tokens": 2577693, - "known_output_tokens": 15029, - "known_reasoning_output_tokens": 6246, - "output_tokens": 15029, - "reasoning_output_tokens": 6246, - "reasoning_reported_output_tokens": 15029, - "reported_responses": { - "cache_reported_input_tokens": 61, - "cache_write_input_tokens": 61, - "cache_write_reported_input_tokens": 61, - "cached_input_tokens": 61, - "input_tokens": 61, - "output_tokens": 61, - "reasoning_output_tokens": 61, - "reasoning_reported_output_tokens": 61 - }, - "response_count": 61, + "usage": { + "accounting": "reported-responses", + "audit_complete": true, + "cache_hit_rate": 0.9606465096549688, + "cache_reported_input_tokens": 775611, + "cache_write_input_tokens": 0, + "cache_write_reported_input_tokens": 775611, + "cached_input_tokens": 745088, + "completed_turns": 1, + "cost_usd": null, + "failed_turns": 0, + "input_tokens": 775611, + "known_cache_write_input_tokens": 0, + "known_cached_input_tokens": 745088, + "known_input_tokens": 775611, + "known_output_tokens": 6607, + "known_reasoning_output_tokens": 1428, + "output_tokens": 6607, + "reasoning_output_tokens": 1428, + "reasoning_reported_output_tokens": 6607, + "reported_responses": { + "cache_reported_input_tokens": 26, + "cache_write_input_tokens": 26, + "cache_write_reported_input_tokens": 26, + "cached_input_tokens": 26, + "input_tokens": 26, + "output_tokens": 26, + "reasoning_output_tokens": 26, + "reasoning_reported_output_tokens": 26 + }, + "response_count": 26, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 59549, + "uncached_input_tokens": 30523, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 60, + "model_tool_calls": 25, "model_tool_calls_by_name": { - "exec": 60 + "exec": 25 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -11404,23 +18068,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 10.7, + "duration_s": 15.15, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 430, - "captured_samples": 430, + "accepted_samples": 607, + "captured_samples": 607, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 429, - "end_time_s": 42.839999999999264, + "encoded_frames": 607, + "end_time_s": 60.599999999998694, "error": null, "experimental": true, "fps": 10, - "received_samples": 430, + "received_samples": 607, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -11431,38 +18095,30 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "0fe3ccbc26c9d14bc92ead5c4bcc79adbd0ceb97922b07e30730ea9a629065c1", + "sha256": "3932519e46bad4fc6c57f44afb37499f07429e5594712e7d6f096a381a7327b6", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 1,071 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 1,212 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { @@ -11476,7 +18132,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -11496,13 +18153,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "36-robodojo-pour-liquid-into-cup-codex-seed0-attempt01", + "job": "task01-08-scrub-cutting-board-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 1, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -11519,67 +18202,63 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "7e5d9d89a62d36b2acc0686d0c45410afecd3f4a6a11d4909cf399edf099191d", - "protocol_sha256": "b149476eb7b742f99fdc2849cf33dae7045952a02b90dd86fc3756a18c01a07b" + "session_original_sha256": "244325554a84ed8ccb2d225fb9836d52f84dbcc82db3f754aa2fafd64744b398", + "protocol_sha256": "828302ab34955790504cb974ea07d080685f76d638b3f581c76d06dba7106974" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/pour_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/resources/tools/pour_control.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/robot_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/resources/tools/robot_control.py", + "name": "tools/panda_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/pouring.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/resources/memos/pouring.md", + "name": "memos/robocasa.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/resources/memos/robocasa.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 135, - "observed_images": 30, - "tool_errors": 4 + "visible_events": 61, + "observed_images": 17, + "tool_errors": 6 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/36/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/08/seed-0/" }, { - "id": "task04-38-seed0-formal", - "task_key": "task04/38", - "family": "task04", - "slot": "38", + "id": "task01-09-seed0-formal", + "task_key": "task01/09", + "family": "task01", + "slot": "09", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": true, - "native_reward": 1.0, + "success": false, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -11587,61 +18266,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 952, - "success": true, - "termination": "success" + "steps": 2216, + "success": false, + "termination": "stopped" }, - "steps": 952, - "simulation_time_s": null, - "wall_time_s": 408.460414, + "steps": 2216, + "simulation_time_s": 110.8, + "wall_time_s": 625.032726, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Press the two red buttons the required number of times according to the number cards, then press the blue button to confirm.", - "instruction": "Starting with the left red button, press and release each red button the number of times shown on its card, confirming that button's count with a press and release of the blue button before moving to the next. Return both arms to their starting poses when finished.", + "native_instruction": "Pick the bell pepper and the cream cheese from the fridge, place them in the blender, and turn it on.", + "instruction": "Pick the specified vegetable and the cream cheese from the fridge, place both fully inside the blender, and turn it on.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9579166678796666, - "cache_reported_input_tokens": 1030503, + "cache_hit_rate": 0.9733556695336862, + "cache_reported_input_tokens": 1973478, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 1030503, - "cached_input_tokens": 987136, + "cache_write_reported_input_tokens": 1973478, + "cached_input_tokens": 1920896, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 1030503, + "input_tokens": 1973478, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 987136, - "known_input_tokens": 1030503, - "known_output_tokens": 6991, - "known_reasoning_output_tokens": 2046, - "output_tokens": 6991, - "reasoning_output_tokens": 2046, - "reasoning_reported_output_tokens": 6991, + "known_cached_input_tokens": 1920896, + "known_input_tokens": 1973478, + "known_output_tokens": 11695, + "known_reasoning_output_tokens": 4578, + "output_tokens": 11695, + "reasoning_output_tokens": 4578, + "reasoning_reported_output_tokens": 11695, "reported_responses": { - "cache_reported_input_tokens": 30, - "cache_write_input_tokens": 30, - "cache_write_reported_input_tokens": 30, - "cached_input_tokens": 30, - "input_tokens": 30, - "output_tokens": 30, - "reasoning_output_tokens": 30, - "reasoning_reported_output_tokens": 30 - }, - "response_count": 30, + "cache_reported_input_tokens": 48, + "cache_write_input_tokens": 48, + "cache_write_reported_input_tokens": 48, + "cached_input_tokens": 48, + "input_tokens": 48, + "output_tokens": 48, + "reasoning_output_tokens": 48, + "reasoning_reported_output_tokens": 48 + }, + "response_count": 48, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 43367, + "uncached_input_tokens": 52582, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 29, + "model_tool_calls": 47, "model_tool_calls_by_name": { - "exec": 29 + "exec": 47 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -11655,23 +18334,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 9.5, + "duration_s": 27.7, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 382, - "captured_samples": 382, + "accepted_samples": 1109, + "captured_samples": 1109, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 381, - "end_time_s": 38.079999999999366, + "encoded_frames": 1109, + "end_time_s": 110.79999999999585, "error": null, "experimental": true, "fps": 10, - "received_samples": 382, + "received_samples": 1109, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -11682,38 +18361,30 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "1191bf611481831d762b89e5a3da004b3ca6c531987daeece4ae34cd7bceb989", + "sha256": "f5b075fc26a06533abe3252b781cdd3fc659cac45d40349afb5bd7b9d8a9dd49", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 952 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 2,216 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { @@ -11727,7 +18398,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -11747,13 +18419,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "38-robodojo-press-by-number-codex-seed0-attempt01", + "job": "task01-09-prepare-veggie-dip-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 2, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -11770,67 +18468,63 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "2988988996fbda95ad102c6dcdd76e9e645c552b62bb03210caf033a154c43ee", - "protocol_sha256": "9fce1006e083eccaf342031dee9ee536219916e20037c3b853f01379591895a3" + "session_original_sha256": "c704782b4f2f8b005101e7c8406a75d0e68c9888fcb5fd8baf9065e8cef4dc99", + "protocol_sha256": "fdeb69aecef69e1512136a89c7f9cc51fde28b55423ac16dc6948b17fdb6fcec" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/press_sequence.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/resources/tools/press_sequence.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/robot_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/resources/tools/robot_control.py", + "name": "tools/control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/resources/tools/control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/resources/memos/robodojo.md", + "name": "memos/robocasa.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/resources/memos/robocasa.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 70, - "observed_images": 19, - "tool_errors": 3 + "visible_events": 107, + "observed_images": 61, + "tool_errors": 0 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/38/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/09/seed-0/" }, { - "id": "task04-39-seed0-formal", - "task_key": "task04/39", - "family": "task04", - "slot": "39", + "id": "task01-10-seed0-formal", + "task_key": "task01/10", + "family": "task01", + "slot": "10", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": false, - "native_reward": 0.0, + "success": true, + "native_reward": 1.0, "valid": true, "execution": { "reason": null, @@ -11838,61 +18532,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 535, - "success": false, - "termination": "stopped" + "steps": 3969, + "success": true, + "termination": "success" }, - "steps": 535, - "simulation_time_s": null, - "wall_time_s": 346.926941, + "steps": 3969, + "simulation_time_s": 198.45, + "wall_time_s": 800.707309, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Push the T-shaped block to align it precisely with the gray T-shaped pad.", - "instruction": "Slide the T-shaped block along the table until it neatly matches the gray T-shaped pad in position and orientation. Keep the block on the table and return both arms to their starting poses when finished.", + "native_instruction": "Pick the mushroom from the fridge and hold it under the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting.", + "instruction": "Pick the specified vegetable from the fridge and hold it under running water from the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting. Release it and move the gripper clear.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9539017898864306, - "cache_reported_input_tokens": 787536, + "cache_hit_rate": 0.9777504182000669, + "cache_reported_input_tokens": 2989000, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 787536, - "cached_input_tokens": 751232, + "cache_write_reported_input_tokens": 2989000, + "cached_input_tokens": 2922496, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 787536, + "input_tokens": 2989000, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 751232, - "known_input_tokens": 787536, - "known_output_tokens": 7374, - "known_reasoning_output_tokens": 2132, - "output_tokens": 7374, - "reasoning_output_tokens": 2132, - "reasoning_reported_output_tokens": 7374, + "known_cached_input_tokens": 2922496, + "known_input_tokens": 2989000, + "known_output_tokens": 13452, + "known_reasoning_output_tokens": 4273, + "output_tokens": 13452, + "reasoning_output_tokens": 4273, + "reasoning_reported_output_tokens": 13452, "reported_responses": { - "cache_reported_input_tokens": 25, - "cache_write_input_tokens": 25, - "cache_write_reported_input_tokens": 25, - "cached_input_tokens": 25, - "input_tokens": 25, - "output_tokens": 25, - "reasoning_output_tokens": 25, - "reasoning_reported_output_tokens": 25 - }, - "response_count": 25, + "cache_reported_input_tokens": 68, + "cache_write_input_tokens": 68, + "cache_write_reported_input_tokens": 68, + "cached_input_tokens": 68, + "input_tokens": 68, + "output_tokens": 68, + "reasoning_output_tokens": 68, + "reasoning_reported_output_tokens": 68 + }, + "response_count": 68, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 36304, + "uncached_input_tokens": 66504, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 24, + "model_tool_calls": 67, "model_tool_calls_by_name": { - "exec": 24 + "exec": 67 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -11906,66 +18600,56 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 5.35, + "duration_s": 49.6, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 215, - "captured_samples": 215, + "accepted_samples": 1986, + "captured_samples": 1986, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 215, - "end_time_s": 21.39999999999972, + "encoded_frames": 1985, + "end_time_s": 198.45000000001087, "error": null, "experimental": true, "fps": 10, - "received_samples": 215, + "received_samples": 1986, "schema": "roboenv/recording/1", "state": "closed", - "status": "complete", - "views": [ - { - "fov_y": 45.0, - "height": 720, - "name": "third_person", - "pose": null, - "source": "third_person", - "width": 960 - }, + "status": "complete", + "views": [ { "fov_y": 45.0, "height": 720, - "name": "left_wrist", + "name": "third_person", "pose": null, - "source": "left_wrist", - "width": 960 + "source": "third_person", + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "4351eae383c6bb677519793c915be8d479148b0156ac87ecfb962fb3768ebf93", + "sha256": "97a9b174702a706c69d3a864da852c271e0f2de38c547df647380152268d016d", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 535 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", - "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 3,969 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { @@ -11979,7 +18663,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -11999,13 +18684,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "39-robodojo-push-t-codex-seed0-attempt01", + "job": "task01-10-prepare-vegetable-roasting-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 3, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -12022,56 +18733,57 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, - "session_original_sha256": "494f4f61f1bd5d3072e7966059e167381f188a7a55853a3c66839da85925e26d", - "protocol_sha256": "67d36ac75c05a3dace78b479283200ce78a0d5fa330bd3deb44a3033a0feeec3" + "session_original_sha256": "e301cf601402de64bfdd85e2bc5e35a799ca6d0fa60d6216cfde51cb5b4f6384", + "protocol_sha256": "12c94809e7b2e98486cd0036d528a828a0c211418b0d365710fd263517dec825" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arx_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/resources/tools/arx_control.py", + "name": "tools/robot.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo_push_t.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/resources/memos/robodojo_push_t.md", + "name": "memos/robocasa_control.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/resources/memos/robocasa_control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 59, - "observed_images": 16, - "tool_errors": 2 + "visible_events": 151, + "observed_images": 87, + "tool_errors": 3 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/39/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task01/10/seed-0/" }, { - "id": "task04-41-seed0-formal", - "task_key": "task04/41", - "family": "task04", - "slot": "41", + "id": "task02-01-seed0-formal", + "task_key": "task02/01", + "family": "task02", + "slot": "01", "seed": 0, "episode": 1, "phase": "formal", @@ -12085,61 +18797,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 2440, + "steps": 969, "success": true, "termination": "success" }, - "steps": 2440, + "steps": 969, "simulation_time_s": null, - "wall_time_s": 1218.035565, + "wall_time_s": 272.779105, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pick up the bottles and throw them into the dustbin, using handover when needed.", - "instruction": "Put all four bottles into the dustbin, using a handover when needed. Let every bottle settle down inside the bin, release all bottles, and return both arms to their starting poses.", - "instruction_policy": "modified", + "native_instruction": "put both the alphabet soup and the tomato sauce in the basket", + "instruction": "put both the alphabet soup and the tomato sauce in the basket", + "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.982993762638327, - "cache_reported_input_tokens": 4211396, + "cache_hit_rate": 0.9509386255123954, + "cache_reported_input_tokens": 832121, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 4211396, - "cached_input_tokens": 4139776, + "cache_write_reported_input_tokens": 832121, + "cached_input_tokens": 791296, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 4211396, + "input_tokens": 832121, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 4139776, - "known_input_tokens": 4211396, - "known_output_tokens": 19241, - "known_reasoning_output_tokens": 8028, - "output_tokens": 19241, - "reasoning_output_tokens": 8028, - "reasoning_reported_output_tokens": 19241, + "known_cached_input_tokens": 791296, + "known_input_tokens": 832121, + "known_output_tokens": 6802, + "known_reasoning_output_tokens": 1635, + "output_tokens": 6802, + "reasoning_output_tokens": 1635, + "reasoning_reported_output_tokens": 6802, "reported_responses": { - "cache_reported_input_tokens": 94, - "cache_write_input_tokens": 94, - "cache_write_reported_input_tokens": 94, - "cached_input_tokens": 94, - "input_tokens": 94, - "output_tokens": 94, - "reasoning_output_tokens": 94, - "reasoning_reported_output_tokens": 94 - }, - "response_count": 94, + "cache_reported_input_tokens": 27, + "cache_write_input_tokens": 27, + "cache_write_reported_input_tokens": 27, + "cached_input_tokens": 27, + "input_tokens": 27, + "output_tokens": 27, + "reasoning_output_tokens": 27, + "reasoning_reported_output_tokens": 27 + }, + "response_count": 27, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 71620, + "uncached_input_tokens": 40825, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 93, + "model_tool_calls": 26, "model_tool_calls_by_name": { - "exec": 93 + "exec": 26 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -12153,23 +18865,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 24.4, + "duration_s": 12.05, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 977, - "captured_samples": 977, + "accepted_samples": 483, + "captured_samples": 483, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 977, - "end_time_s": 97.60000000000406, + "encoded_frames": 483, + "end_time_s": 48.1999999999994, "error": null, "experimental": true, "fps": 10, - "received_samples": 977, + "received_samples": 483, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -12180,37 +18892,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "5e0ac64d393a038941fea1aa51dc0254120710f20bc797bae33ae2bc5268346d", + "sha256": "37b2314d769aed5120526c59804f2ec83f09afb1c4aa26397d2668a0ece7434c", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 2,440 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 969 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -12225,7 +18928,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -12245,13 +18949,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "41-robodojo-put-bottles-into-dustbin-codex-seed0-attempt01", + "job": "task02-01-libero-10-01-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 6, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -12268,61 +18998,57 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, - "session_original_sha256": "3a9d1b691f49c20cff40af24a91e48de2f697f5a9dca9555061201b9d4c4d069", - "protocol_sha256": "b9dfde3386ef956c89bac335893d836bd52984cc886a9fcd5f7152575935fca3" + "session_original_sha256": "f12ec4f4577b24bbfc8cc11736b6a2ccf8b89dd16ba6008acc8e14b3a0f4593e", + "protocol_sha256": "12310099caf8c22cd35d1b1702b90f7780034b1347863b2f0b0dd36c0986aadb" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arx_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/resources/tools/arx_control.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "skills/robodojo-arx/SKILL.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/resources/skills/robodojo-arx/SKILL.md", + "name": "tools/panda_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo-arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/resources/memos/robodojo-arx.md", + "name": "memos/libero_panda.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 204, - "observed_images": 29, - "tool_errors": 8 + "visible_events": 66, + "observed_images": 34, + "tool_errors": 2 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/41/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/01/seed-0/" }, { - "id": "task04-42-seed0-formal", - "task_key": "task04/42", - "family": "task04", - "slot": "42", + "id": "task02-02-seed0-formal", + "task_key": "task02/02", + "family": "task02", + "slot": "02", "seed": 0, "episode": 1, "phase": "formal", @@ -12336,40 +19062,40 @@ }, "verdict": { "evidence_valid": true, - "steps": 376, + "steps": 722, "success": true, "termination": "success" }, - "steps": 376, + "steps": 722, "simulation_time_s": null, - "wall_time_s": 344.41526, + "wall_time_s": 231.024585, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Complete the equation by selecting the correct missing number or operator and placing it on the pad, then reset the robot arm.", - "instruction": "Complete the equation by selecting the correct missing number or operator and placing it on the pad, then reset the robot arm.", + "native_instruction": "put both the cream cheese box and the butter in the basket", + "instruction": "put both the cream cheese box and the butter in the basket", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9453168514193027, - "cache_reported_input_tokens": 899491, + "cache_hit_rate": 0.9515345728205089, + "cache_reported_input_tokens": 784518, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 899491, - "cached_input_tokens": 850304, + "cache_write_reported_input_tokens": 784518, + "cached_input_tokens": 746496, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 899491, + "input_tokens": 784518, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 850304, - "known_input_tokens": 899491, - "known_output_tokens": 7148, - "known_reasoning_output_tokens": 2073, - "output_tokens": 7148, - "reasoning_output_tokens": 2073, - "reasoning_reported_output_tokens": 7148, + "known_cached_input_tokens": 746496, + "known_input_tokens": 784518, + "known_output_tokens": 6225, + "known_reasoning_output_tokens": 1371, + "output_tokens": 6225, + "reasoning_output_tokens": 1371, + "reasoning_reported_output_tokens": 6225, "reported_responses": { "cache_reported_input_tokens": 28, "cache_write_input_tokens": 28, @@ -12384,7 +19110,7 @@ "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 49187, + "uncached_input_tokens": 38022, "unidentified_usage_records": 0 }, "call_activity": { @@ -12404,23 +19130,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 3.75, + "duration_s": 8.95, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 152, - "captured_samples": 152, + "accepted_samples": 360, + "captured_samples": 360, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 151, - "end_time_s": 15.039999999999855, + "encoded_frames": 359, + "end_time_s": 35.8500000000001, "error": null, "experimental": true, "fps": 10, - "received_samples": 152, + "received_samples": 360, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -12431,37 +19157,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "ab5dc89ba3c9b5be9f7a42098a4a6e777c278eedf5c747ffee03bb2e84f4b979", + "sha256": "0c7db49b1d23b819f8ec6e5ddb8ce44fd5c893c97b32e315e7cdfa3fa832b623", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 376 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 722 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -12476,7 +19193,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -12496,13 +19214,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "42-robodojo-solve-equation-codex-seed0-attempt01", + "job": "task02-02-libero-10-02-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 7, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -12519,62 +19263,63 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, - "session_original_sha256": "e54bfef985a6ed8b5cb4be7450d1cce3348c0d3c9040332c4c52399f523e6617", - "protocol_sha256": "438173dad57f0b8c50f92d2d9903c94dc1b872d213d505617081782fca15e41d" + "session_original_sha256": "4586e6d83a549d4c0b54fc4fb665422f8d51539fd23b0e2fda86854037739d01", + "protocol_sha256": "12cc7fa7e225614b41a5c3fda75bdf62f9e9b39b16c730cef3d5920ad9440392" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arx_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/resources/tools/arx_control.py", + "name": "tools/panda.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/resources/tools/panda.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/resources/memos/robodojo.md", + "name": "memos/libero_panda.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 64, - "observed_images": 16, - "tool_errors": 5 + "visible_events": 66, + "observed_images": 29, + "tool_errors": 3 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/42/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/02/seed-0/" }, { - "id": "task04-43-seed0-formal", - "task_key": "task04/43", - "family": "task04", - "slot": "43", + "id": "task02-04-seed0-formal", + "task_key": "task02/04", + "family": "task02", + "slot": "04", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": true, - "native_reward": 1.0, + "success": false, + "native_reward": 0.0, "valid": true, "execution": { "reason": null, @@ -12582,61 +19327,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 3036, - "success": true, - "termination": "success" + "steps": 3687, + "success": false, + "termination": "stopped" }, - "steps": 3036, + "steps": 3687, "simulation_time_s": null, - "wall_time_s": 1031.599589, + "wall_time_s": 919.204412, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Arrange the five nesting dolls in a row from left to right, from smallest to largest.", - "instruction": "Arrange all five nesting dolls upright in a straight row from left to right, from smallest to largest. Keep their centers aligned front to back and leave the dolls clearly separated. Release them and return both arms to their starting poses.", - "instruction_policy": "modified", + "native_instruction": "put the black bowl in the bottom drawer of the cabinet and close it", + "instruction": "put the black bowl in the bottom drawer of the cabinet and close it", + "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9703679016442512, - "cache_reported_input_tokens": 4182694, + "cache_hit_rate": 0.9745746678635921, + "cache_reported_input_tokens": 3356377, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 4182694, - "cached_input_tokens": 4058752, + "cache_write_reported_input_tokens": 3356377, + "cached_input_tokens": 3271040, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 4182694, + "input_tokens": 3356377, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 4058752, - "known_input_tokens": 4182694, - "known_output_tokens": 19444, - "known_reasoning_output_tokens": 7913, - "output_tokens": 19444, - "reasoning_output_tokens": 7913, - "reasoning_reported_output_tokens": 19444, + "known_cached_input_tokens": 3271040, + "known_input_tokens": 3356377, + "known_output_tokens": 23446, + "known_reasoning_output_tokens": 11600, + "output_tokens": 23446, + "reasoning_output_tokens": 11600, + "reasoning_reported_output_tokens": 23446, "reported_responses": { - "cache_reported_input_tokens": 89, - "cache_write_input_tokens": 89, - "cache_write_reported_input_tokens": 89, - "cached_input_tokens": 89, - "input_tokens": 89, - "output_tokens": 89, - "reasoning_output_tokens": 89, - "reasoning_reported_output_tokens": 89 - }, - "response_count": 89, + "cache_reported_input_tokens": 67, + "cache_write_input_tokens": 67, + "cache_write_reported_input_tokens": 67, + "cached_input_tokens": 67, + "input_tokens": 67, + "output_tokens": 67, + "reasoning_output_tokens": 67, + "reasoning_reported_output_tokens": 67 + }, + "response_count": 67, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 123942, + "uncached_input_tokens": 85337, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 88, + "model_tool_calls": 66, "model_tool_calls_by_name": { - "exec": 88 + "exec": 66 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -12650,23 +19395,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 30.35, + "duration_s": 46.05, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 1216, - "captured_samples": 1216, + "accepted_samples": 1832, + "captured_samples": 1842, "clock": "simulation", - "dropped_samples": 0, - "encoded_frames": 1215, - "end_time_s": 121.44000000000779, + "dropped_samples": 10, + "encoded_frames": 1842, + "end_time_s": 184.1000000000076, "error": null, "experimental": true, "fps": 10, - "received_samples": 1216, + "received_samples": 1832, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -12677,38 +19422,30 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "fb6425ca4b283be1bc4261fafc65a0d7ee6528e4190b690966a5c870a96a60b5", + "sha256": "5cdfb9b994575cd13740d3acedab7e848ddd65dcb78eb827d77d610714fd0097", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 3,036 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 3,687 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", + "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { @@ -12722,7 +19459,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -12742,13 +19480,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "43-robodojo-sort-nesting-dolls-by-size-codex-seed0-attempt01", + "job": "task02-04-libero-10-04-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 4, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -12765,56 +19529,57 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, - "session_original_sha256": "ee681e87712456c127f125c64faa8fa039084177c0e2185fb6cc85beed9e0d77", - "protocol_sha256": "6330a7ba676fbbe37e3eeaa32e9e720360f342588aebda1a3d017df413d83b5d" + "session_original_sha256": "b63b0b4dfb6ead64a30c353133825d5b20b8ebd3c17913be6864ed382ed9cf4a", + "protocol_sha256": "2cd301bfe0c1a1d6d4a420b1471374a8d33f9471ab060c1d6dcf66fbf74969bf" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/resources/tools/robot.py", + "name": "tools/panda_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo-arx-x5.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/resources/memos/robodojo-arx-x5.md", + "name": "memos/libero_panda.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 194, - "observed_images": 25, - "tool_errors": 8 + "visible_events": 148, + "observed_images": 79, + "tool_errors": 1 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/43/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/04/seed-0/" }, { - "id": "task04-45-seed0-formal", - "task_key": "task04/45", - "family": "task04", - "slot": "45", + "id": "task02-05-seed0-formal", + "task_key": "task02/05", + "family": "task02", + "slot": "05", "seed": 0, "episode": 1, "phase": "formal", @@ -12828,61 +19593,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 843, + "steps": 634, "success": true, "termination": "success" }, - "steps": 843, + "steps": 634, "simulation_time_s": null, - "wall_time_s": 445.877178, + "wall_time_s": 195.147246, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Stack the three blocks with different textures.", - "instruction": "Stack all three differently textured blocks in a single vertical tower, in any order. Center each block over the one below, release the completed stack, and return both arms to their starting poses.", + "native_instruction": "put the white mug on the left plate and put the yellow and white mug on the right plate", + "instruction": "put the white mug in the center of the left plate and put the yellow and white mug in the center of the right plate, with each mug resting on its plate", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9470766490973589, - "cache_reported_input_tokens": 1114064, + "cache_hit_rate": 0.9493350495033964, + "cache_reported_input_tokens": 509662, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 1114064, - "cached_input_tokens": 1055104, + "cache_write_reported_input_tokens": 509662, + "cached_input_tokens": 483840, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 1114064, + "input_tokens": 509662, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 1055104, - "known_input_tokens": 1114064, - "known_output_tokens": 6855, - "known_reasoning_output_tokens": 1877, - "output_tokens": 6855, - "reasoning_output_tokens": 1877, - "reasoning_reported_output_tokens": 6855, + "known_cached_input_tokens": 483840, + "known_input_tokens": 509662, + "known_output_tokens": 5212, + "known_reasoning_output_tokens": 1183, + "output_tokens": 5212, + "reasoning_output_tokens": 1183, + "reasoning_reported_output_tokens": 5212, "reported_responses": { - "cache_reported_input_tokens": 35, - "cache_write_input_tokens": 35, - "cache_write_reported_input_tokens": 35, - "cached_input_tokens": 35, - "input_tokens": 35, - "output_tokens": 35, - "reasoning_output_tokens": 35, - "reasoning_reported_output_tokens": 35 - }, - "response_count": 35, + "cache_reported_input_tokens": 20, + "cache_write_input_tokens": 20, + "cache_write_reported_input_tokens": 20, + "cached_input_tokens": 20, + "input_tokens": 20, + "output_tokens": 20, + "reasoning_output_tokens": 20, + "reasoning_reported_output_tokens": 20 + }, + "response_count": 20, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 58960, + "uncached_input_tokens": 25822, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 34, + "model_tool_calls": 19, "model_tool_calls_by_name": { - "exec": 34 + "exec": 19 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -12896,23 +19661,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 8.45, + "duration_s": 7.85, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 338, - "captured_samples": 338, + "accepted_samples": 316, + "captured_samples": 316, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 338, - "end_time_s": 33.71999999999946, + "encoded_frames": 315, + "end_time_s": 31.450000000000312, "error": null, "experimental": true, "fps": 10, - "received_samples": 338, + "received_samples": 316, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -12923,37 +19688,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "14d74b356a682d620f371366fc8700e15119ff9d1b549d32d3fa0f550f545ad4", + "sha256": "abfc4504430e57b850b3723fe170f3a6ca3457a8abd6ffa73a17a1bf601023b7", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 843 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 634 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -12968,7 +19724,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -12988,13 +19745,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "45-robodojo-stack-blocks-codex-seed0-attempt01", + "job": "task02-05-libero-10-05-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 0, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -13011,56 +19794,57 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, - "session_original_sha256": "ade868f23657c634602c3d72126f68dcc4d966f5625c0d762c0534e68cc3357f", - "protocol_sha256": "739b225b6df68661a4a1e1d7b03b8746eb82f4857dd7917dbc4a32d2fa99e6b0" + "session_original_sha256": "8bd2b98a56d70d3bf40dcafc127ffeb2d4ee0ea59826caec4f6cb8516f0598f4", + "protocol_sha256": "aa8612b5784bd68176b7ef74c2a6b2df6f1923236ef02e59a7af155a463dd0ef" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arm_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/resources/tools/arm_control.py", + "name": "tools/panda.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/resources/tools/panda.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/stack_blocks.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/resources/memos/stack_blocks.md", + "name": "memos/libero_panda.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 79, - "observed_images": 10, + "visible_events": 48, + "observed_images": 19, "tool_errors": 3 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/45/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/05/seed-0/" }, { - "id": "task04-46-seed0-formal", - "task_key": "task04/46", - "family": "task04", - "slot": "46", + "id": "task02-06-seed0-formal", + "task_key": "task02/06", + "family": "task02", + "slot": "06", "seed": 0, "episode": 1, "phase": "formal", @@ -13074,61 +19858,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 1265, + "steps": 325, "success": true, "termination": "success" }, - "steps": 1265, + "steps": 325, "simulation_time_s": null, - "wall_time_s": 484.775267, + "wall_time_s": 241.745547, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "stack the blocks from bottom to top in the order of blue, yellow, and orange, then reset the robot arm.", - "instruction": "stack the blocks from bottom to top in the order of blue, yellow, and orange, then reset the robot arm.", - "instruction_policy": "original_native", + "native_instruction": "pick up the book and place it in the back compartment of the caddy", + "instruction": "pick up the book and place it in the back compartment of the caddy, between the two large side compartments", + "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9691445218090995, - "cache_reported_input_tokens": 1362092, + "cache_hit_rate": 0.956185574299006, + "cache_reported_input_tokens": 707210, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 1362092, - "cached_input_tokens": 1320064, + "cache_write_reported_input_tokens": 707210, + "cached_input_tokens": 676224, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 1362092, + "input_tokens": 707210, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 1320064, - "known_input_tokens": 1362092, - "known_output_tokens": 9240, - "known_reasoning_output_tokens": 2401, - "output_tokens": 9240, - "reasoning_output_tokens": 2401, - "reasoning_reported_output_tokens": 9240, + "known_cached_input_tokens": 676224, + "known_input_tokens": 707210, + "known_output_tokens": 6550, + "known_reasoning_output_tokens": 2424, + "output_tokens": 6550, + "reasoning_output_tokens": 2424, + "reasoning_reported_output_tokens": 6550, "reported_responses": { - "cache_reported_input_tokens": 40, - "cache_write_input_tokens": 40, - "cache_write_reported_input_tokens": 40, - "cached_input_tokens": 40, - "input_tokens": 40, - "output_tokens": 40, - "reasoning_output_tokens": 40, - "reasoning_reported_output_tokens": 40 + "cache_reported_input_tokens": 25, + "cache_write_input_tokens": 25, + "cache_write_reported_input_tokens": 25, + "cached_input_tokens": 25, + "input_tokens": 25, + "output_tokens": 25, + "reasoning_output_tokens": 25, + "reasoning_reported_output_tokens": 25 }, - "response_count": 40, + "response_count": 25, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 42028, + "uncached_input_tokens": 30986, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 39, + "model_tool_calls": 24, "model_tool_calls_by_name": { - "exec": 39 + "exec": 24 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -13142,23 +19926,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 12.65, + "duration_s": 4.0, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 507, - "captured_samples": 507, + "accepted_samples": 161, + "captured_samples": 161, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 507, - "end_time_s": 50.5999999999991, + "encoded_frames": 161, + "end_time_s": 16.000000000000092, "error": null, "experimental": true, "fps": 10, - "received_samples": 507, + "received_samples": 161, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -13169,37 +19953,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", - "pose": null, - "source": "right_wrist", - "width": 960 + "name": "wrist", + "pose": null, + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "b12e476c01706947b21dda7039b51317f0f6756ae4fdf68a0553a132b563ff2c", + "sha256": "21e728b9fce1a2954030e87b82dc418320e12675a0e28f89a136a5582f5063fa", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 1,265 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 325 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -13214,7 +19989,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -13234,13 +20010,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "46-robodojo-stack-blocks-by-language-codex-seed0-attempt01", + "job": "task02-06-libero-10-06-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 1, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -13257,56 +20059,57 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, - "session_original_sha256": "0ae5a5833e7f68ded44ad0c61180a020af6b4d24d89b4f8c959ef649c3cc5a74", - "protocol_sha256": "0353fcd3c3f4918cb27247a7ab486a7a8257fe72da1367bd5e66477b4333d346" + "session_original_sha256": "54e68328b024caa7775ae5288da32d23507836886a03be8db004fde58bc3a20f", + "protocol_sha256": "00df44aea40ecfa4fdb9b2d79ea89ee3bac07b53ecc4b93a1ffc313e0c1f4e98" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arx_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/resources/tools/arx_control.py", + "name": "tools/panda_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo_arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/resources/memos/robodojo_arx.md", + "name": "memos/libero_panda.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 91, - "observed_images": 17, - "tool_errors": 4 + "visible_events": 58, + "observed_images": 13, + "tool_errors": 2 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/46/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/06/seed-0/" }, { - "id": "task04-48-seed0-formal", - "task_key": "task04/48", - "family": "task04", - "slot": "48", + "id": "task02-07-seed0-formal", + "task_key": "task02/07", + "family": "task02", + "slot": "07", "seed": 0, "episode": 1, "phase": "formal", @@ -13320,61 +20123,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 1209, + "steps": 1016, "success": true, "termination": "success" }, - "steps": 1209, + "steps": 1016, "simulation_time_s": null, - "wall_time_s": 460.741037, + "wall_time_s": 260.996992, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Stack the three bowls together.", - "instruction": "Stack the three bowls into one centered, nested stack with every opening facing up. Keep the bottom bowl level on the table and settle the other two evenly inside it. Release the bowls and return both arms to their starting poses.", + "native_instruction": "put the white mug on the plate and put the chocolate pudding to the right of the plate", + "instruction": "put the white mug in the center of the plate and put the chocolate pudding immediately to the right of the plate", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9609032332392465, - "cache_reported_input_tokens": 972152, + "cache_hit_rate": 0.9487277032832223, + "cache_reported_input_tokens": 701841, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 972152, - "cached_input_tokens": 934144, + "cache_write_reported_input_tokens": 701841, + "cached_input_tokens": 665856, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 972152, + "input_tokens": 701841, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 934144, - "known_input_tokens": 972152, - "known_output_tokens": 6498, - "known_reasoning_output_tokens": 1172, - "output_tokens": 6498, - "reasoning_output_tokens": 1172, - "reasoning_reported_output_tokens": 6498, + "known_cached_input_tokens": 665856, + "known_input_tokens": 701841, + "known_output_tokens": 6754, + "known_reasoning_output_tokens": 1904, + "output_tokens": 6754, + "reasoning_output_tokens": 1904, + "reasoning_reported_output_tokens": 6754, "reported_responses": { - "cache_reported_input_tokens": 30, - "cache_write_input_tokens": 30, - "cache_write_reported_input_tokens": 30, - "cached_input_tokens": 30, - "input_tokens": 30, - "output_tokens": 30, - "reasoning_output_tokens": 30, - "reasoning_reported_output_tokens": 30 - }, - "response_count": 30, + "cache_reported_input_tokens": 24, + "cache_write_input_tokens": 24, + "cache_write_reported_input_tokens": 24, + "cached_input_tokens": 24, + "input_tokens": 24, + "output_tokens": 24, + "reasoning_output_tokens": 24, + "reasoning_reported_output_tokens": 24 + }, + "response_count": 24, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 38008, + "uncached_input_tokens": 35985, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 29, + "model_tool_calls": 23, "model_tool_calls_by_name": { - "exec": 29 + "exec": 23 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -13388,23 +20191,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 12.1, + "duration_s": 12.65, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 485, - "captured_samples": 485, + "accepted_samples": 501, + "captured_samples": 507, "clock": "simulation", - "dropped_samples": 0, - "encoded_frames": 484, - "end_time_s": 48.35999999999915, + "dropped_samples": 6, + "encoded_frames": 506, + "end_time_s": 50.549999999999265, "error": null, "experimental": true, "fps": 10, - "received_samples": 485, + "received_samples": 501, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -13415,37 +20218,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "26f8d160bad64d134ff067c48ac63b143d9d12be020ee329ad6d5d46d846e9f6", + "sha256": "e56bc148cb2905f49aa7cc78124462b86130dedaa18a8195efe0e08b0d0501a7", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 1,209 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 1,016 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -13460,7 +20254,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -13480,13 +20275,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "48-robodojo-stack-bowls-codex-seed0-attempt01", + "job": "task02-07-libero-10-07-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 2, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -13503,61 +20324,57 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, - "session_original_sha256": "0031361824727b4645bee2c9bdf1c63e23dab16d5ab4039c8b8c16e583df2893", - "protocol_sha256": "e276da876239aed4f22db9100d1674254fb5c5893a8ab8bde9004a87801e33da" + "session_original_sha256": "7587686fd933aa48160da3af4647d34dc914373521a51b368351fd134e6bf464", + "protocol_sha256": "bdb44af586667ee7eab0855e1a04f70e56609333b710668aa923999c6424aa55" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/bowl_vision.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/resources/tools/bowl_vision.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/resources/tools/robot.py", + "name": "tools/panda_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/stack-bowls.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/resources/memos/stack-bowls.md", + "name": "memos/libero_panda.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 70, - "observed_images": 19, - "tool_errors": 4 + "visible_events": 58, + "observed_images": 18, + "tool_errors": 3 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/48/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/07/seed-0/" }, { - "id": "task04-51-seed0-formal", - "task_key": "task04/51", - "family": "task04", - "slot": "51", + "id": "task02-08-seed0-formal", + "task_key": "task02/08", + "family": "task02", + "slot": "08", "seed": 0, "episode": 1, "phase": "formal", @@ -13571,61 +20388,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 1046, + "steps": 1115, "success": true, "termination": "success" }, - "steps": 1046, + "steps": 1115, "simulation_time_s": null, - "wall_time_s": 501.073897, + "wall_time_s": 412.342365, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pick up the two T-shaped blocks, swap their positions, and place them back with the correct orientations.", - "instruction": "Swap the two T-shaped blocks. Put each block at the other block's original position, matching the orientation that the other block had there. Place both flat on the table, release them, and return both arms to their starting poses.", + "native_instruction": "put both the alphabet soup and the cream cheese box in the basket", + "instruction": "put both the alphabet soup and the cream cheese box fully inside the basket", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.974693113107188, - "cache_reported_input_tokens": 2182726, + "cache_hit_rate": 0.9604073765886478, + "cache_reported_input_tokens": 1406070, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 2182726, - "cached_input_tokens": 2127488, + "cache_write_reported_input_tokens": 1406070, + "cached_input_tokens": 1350400, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 2182726, + "input_tokens": 1406070, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 2127488, - "known_input_tokens": 2182726, - "known_output_tokens": 11222, - "known_reasoning_output_tokens": 3038, - "output_tokens": 11222, - "reasoning_output_tokens": 3038, - "reasoning_reported_output_tokens": 11222, + "known_cached_input_tokens": 1350400, + "known_input_tokens": 1406070, + "known_output_tokens": 9396, + "known_reasoning_output_tokens": 4471, + "output_tokens": 9396, + "reasoning_output_tokens": 4471, + "reasoning_reported_output_tokens": 9396, "reported_responses": { - "cache_reported_input_tokens": 51, - "cache_write_input_tokens": 51, - "cache_write_reported_input_tokens": 51, - "cached_input_tokens": 51, - "input_tokens": 51, - "output_tokens": 51, - "reasoning_output_tokens": 51, - "reasoning_reported_output_tokens": 51 + "cache_reported_input_tokens": 40, + "cache_write_input_tokens": 40, + "cache_write_reported_input_tokens": 40, + "cached_input_tokens": 40, + "input_tokens": 40, + "output_tokens": 40, + "reasoning_output_tokens": 40, + "reasoning_reported_output_tokens": 40 }, - "response_count": 51, + "response_count": 40, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 55238, + "uncached_input_tokens": 55670, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 50, + "model_tool_calls": 39, "model_tool_calls_by_name": { - "exec": 50 + "exec": 39 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -13639,23 +20456,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 10.45, + "duration_s": 13.9, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 420, - "captured_samples": 420, + "accepted_samples": 538, + "captured_samples": 556, "clock": "simulation", - "dropped_samples": 0, - "encoded_frames": 419, - "end_time_s": 41.839999999999286, + "dropped_samples": 18, + "encoded_frames": 556, + "end_time_s": 55.499999999998984, "error": null, "experimental": true, "fps": 10, - "received_samples": 420, + "received_samples": 538, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -13666,37 +20483,28 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "22b3d2c47ea88eedd37ee6ea358e2f2fa431bae8983eb2bf1371f953a5492716", + "sha256": "ebc33c52431806b4f772f68b9d94dbaa7dc7eb16be8583fc51f4761281c22e16", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 1,046 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "duration": "\u4f7f\u7528 1,115 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { @@ -13711,7 +20519,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -13731,90 +20540,112 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "51-robodojo-swap-t-codex-seed0-attempt01", + "job": "task02-08-libero-10-08-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 3, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", - "service_tier": "default", - "fresh_session": true, - "source_jobs": [], - "resume_trajectory": false, - "imported_skills": [], - "automatic_harbor_retries": 0, - "request_policy": { - "max_request_retries": 50, - "configuration": "explicit retry50 SSE", - "usage_accounting": "reported-responses" - }, - "classification": "formal", - "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" - }, - "session_original_sha256": "fd18e60507a4e4f05e805b01e5054004ecd7e6f8bd14a46bfd856484ec82d1da", - "protocol_sha256": "1b0efaab6f68b573e59b4805686ca303c55abe32e88e5dd336e1df6e2cc12c60" - }, - "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/media-validation.json" + "service_tier": "default", + "fresh_session": true, + "source_jobs": [], + "resume_trajectory": false, + "imported_skills": [], + "automatic_harbor_retries": 0, + "request_policy": { + "max_request_retries": 50, + "configuration": "explicit retry50 SSE", + "usage_accounting": "reported-responses" + }, + "classification": "formal", + "measured_images": { + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" + }, + "session_original_sha256": "2be2b70496fa5cd49637b5f93111331068e67ccc7e3b261df25b663d09f162aa", + "protocol_sha256": "b0e2388679180c5a165f77c1cc90a2c5bfce0b2b1582b118c86392d435c21543" + }, + "links": { + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arx_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/resources/tools/arx_control.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "tools/arx_vision.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/resources/tools/arx_vision.py", + "name": "tools/panda_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo_arx.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/resources/memos/robodojo_arx.md", + "name": "memos/libero_panda.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 113, - "observed_images": 18, + "visible_events": 91, + "observed_images": 27, "tool_errors": 2 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/51/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/08/seed-0/" }, { - "id": "task04-52-seed0-formal", - "task_key": "task04/52", - "family": "task04", - "slot": "52", + "id": "task02-09-seed0-formal", + "task_key": "task02/09", + "family": "task02", + "slot": "09", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": false, - "native_reward": 0.0, + "success": true, + "native_reward": 1.0, "valid": true, "execution": { "reason": null, @@ -13822,61 +20653,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 1447, - "success": false, - "termination": "stopped" + "steps": 560, + "success": true, + "termination": "success" }, - "steps": 1447, + "steps": 560, "simulation_time_s": null, - "wall_time_s": 522.548959, + "wall_time_s": 216.244925, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Swap the two blocks using the empty mat, pressing the button after each move.", - "instruction": "Swap the blocks in three moves using the empty mat as temporary space. Lift one block at a time and release it centered on its destination mat. After each placement, press the button once, withdraw the gripper completely, and wait for the button to rise fully before continuing. Finish with the blocks on each other\u2019s original mats and both arms at their starting poses.", + "native_instruction": "put both moka pots on the stove", + "instruction": "put both moka pots on the stove and turn the stove on", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9718390006317742, - "cache_reported_input_tokens": 1785448, + "cache_hit_rate": 0.9551717429852196, + "cache_reported_input_tokens": 714527, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 1785448, - "cached_input_tokens": 1735168, + "cache_write_reported_input_tokens": 714527, + "cached_input_tokens": 682496, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 1785448, + "input_tokens": 714527, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 1735168, - "known_input_tokens": 1785448, - "known_output_tokens": 11732, - "known_reasoning_output_tokens": 4381, - "output_tokens": 11732, - "reasoning_output_tokens": 4381, - "reasoning_reported_output_tokens": 11732, + "known_cached_input_tokens": 682496, + "known_input_tokens": 714527, + "known_output_tokens": 5355, + "known_reasoning_output_tokens": 1306, + "output_tokens": 5355, + "reasoning_output_tokens": 1306, + "reasoning_reported_output_tokens": 5355, "reported_responses": { - "cache_reported_input_tokens": 46, - "cache_write_input_tokens": 46, - "cache_write_reported_input_tokens": 46, - "cached_input_tokens": 46, - "input_tokens": 46, - "output_tokens": 46, - "reasoning_output_tokens": 46, - "reasoning_reported_output_tokens": 46 - }, - "response_count": 46, + "cache_reported_input_tokens": 24, + "cache_write_input_tokens": 24, + "cache_write_reported_input_tokens": 24, + "cached_input_tokens": 24, + "input_tokens": 24, + "output_tokens": 24, + "reasoning_output_tokens": 24, + "reasoning_reported_output_tokens": 24 + }, + "response_count": 24, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 50280, + "uncached_input_tokens": 32031, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 45, + "model_tool_calls": 23, "model_tool_calls_by_name": { - "exec": 45 + "exec": 23 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -13890,23 +20721,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 14.45, + "duration_s": 6.95, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 580, - "captured_samples": 580, + "accepted_samples": 272, + "captured_samples": 279, "clock": "simulation", - "dropped_samples": 0, - "encoded_frames": 579, - "end_time_s": 57.879999999998944, + "dropped_samples": 7, + "encoded_frames": 278, + "end_time_s": 27.75000000000026, "error": null, "experimental": true, "fps": 10, - "received_samples": 580, + "received_samples": 272, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -13917,39 +20748,29 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "b8019add814858f14b59c428208da9e4dbb0c60ea92538dfc113b45abc24c102", + "sha256": "a76a2e7a791e193195741516810fd124b1d545fd74ab1aa6bc729c40f2f1d1fc", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 1,447 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", - "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 560 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { @@ -13963,7 +20784,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -13983,13 +20805,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "52-robodojo-swap-blocks-codex-seed0-attempt02", - "attempt": 2, + "job": "task02-09-libero-10-09-codex-seed0-attempt01", + "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 6, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -14006,62 +20854,63 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, - "session_original_sha256": "96254f264e46a0fe599c4a7b14262aa7fb495dbf5a91dd5f77d3db0b1212ad03", - "protocol_sha256": "b13933dd9228ca4b0ce123b8d301924aef1635fa85b203cac66a3525eab23346" + "session_original_sha256": "b63a5267201015666c8fcdac5e4b3884a10661b76638beb854a1b405e91f2719", + "protocol_sha256": "acc9470d622733def9d480c2fb756b1724249077e1ad1f73cf80967246cabf7a" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/arx_control.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/resources/tools/arx_control.py", + "name": "tools/panda.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/resources/tools/panda.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/resources/memos/robodojo.md", + "name": "memos/libero-control.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/resources/memos/libero-control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 104, - "observed_images": 19, - "tool_errors": 1 + "visible_events": 57, + "observed_images": 21, + "tool_errors": 2 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/52/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/09/seed-0/" }, { - "id": "task04-53-seed0-formal", - "task_key": "task04/53", - "family": "task04", - "slot": "53", + "id": "task02-10-seed0-formal", + "task_key": "task02/10", + "family": "task02", + "slot": "10", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", - "success": false, - "native_reward": 0.0, + "success": true, + "native_reward": 1.0, "valid": true, "execution": { "reason": null, @@ -14069,61 +20918,61 @@ }, "verdict": { "evidence_valid": true, - "steps": 6753, - "success": false, - "termination": "stopped" + "steps": 1210, + "success": true, + "termination": "success" }, - "steps": 6753, + "steps": 1210, "simulation_time_s": null, - "wall_time_s": 3020.774384, + "wall_time_s": 399.959252, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", - "native_instruction": "Pick up the broom, hand it over to the right hand, then use the dustpan to sweep the blocks.", - "instruction": "Pick up the broom, hand it over to the right hand, and sweep all the small blocks into the dustpan. Keep the dustpan on the table, level and to the left of the broom, with every block collected inside. Leave the dustpan down and return both arms to their starting poses.", - "instruction_policy": "modified", + "native_instruction": "put the yellow and white mug in the microwave and close it", + "instruction": "put the yellow and white mug in the microwave and close it", + "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, - "cache_hit_rate": 0.9898404802868557, - "cache_reported_input_tokens": 14232661, + "cache_hit_rate": 0.9540138123860797, + "cache_reported_input_tokens": 1349079, "cache_write_input_tokens": 0, - "cache_write_reported_input_tokens": 14232661, - "cached_input_tokens": 14088064, + "cache_write_reported_input_tokens": 1349079, + "cached_input_tokens": 1287040, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, - "input_tokens": 14232661, + "input_tokens": 1349079, "known_cache_write_input_tokens": 0, - "known_cached_input_tokens": 14088064, - "known_input_tokens": 14232661, - "known_output_tokens": 48099, - "known_reasoning_output_tokens": 27321, - "output_tokens": 48099, - "reasoning_output_tokens": 27321, - "reasoning_reported_output_tokens": 48099, + "known_cached_input_tokens": 1287040, + "known_input_tokens": 1349079, + "known_output_tokens": 10556, + "known_reasoning_output_tokens": 4068, + "output_tokens": 10556, + "reasoning_output_tokens": 4068, + "reasoning_reported_output_tokens": 10556, "reported_responses": { - "cache_reported_input_tokens": 207, - "cache_write_input_tokens": 207, - "cache_write_reported_input_tokens": 207, - "cached_input_tokens": 207, - "input_tokens": 207, - "output_tokens": 207, - "reasoning_output_tokens": 207, - "reasoning_reported_output_tokens": 207 - }, - "response_count": 207, + "cache_reported_input_tokens": 39, + "cache_write_input_tokens": 39, + "cache_write_reported_input_tokens": 39, + "cached_input_tokens": 39, + "input_tokens": 39, + "output_tokens": 39, + "reasoning_output_tokens": 39, + "reasoning_reported_output_tokens": 39 + }, + "response_count": 39, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", - "uncached_input_tokens": 144597, + "uncached_input_tokens": 62039, "unidentified_usage_records": 0 }, "call_activity": { - "model_tool_calls": 206, + "model_tool_calls": 38, "model_tool_calls_by_name": { - "exec": 206 + "exec": 38 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, @@ -14137,23 +20986,23 @@ }, "media": { "passed": true, - "width": 2880, + "width": 1440, "height": 720, - "duration_s": 67.55, + "duration_s": 15.05, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { - "accepted_samples": 2702, - "captured_samples": 2702, + "accepted_samples": 604, + "captured_samples": 604, "clock": "simulation", "dropped_samples": 0, - "encoded_frames": 2702, - "end_time_s": 270.11999999999057, + "encoded_frames": 603, + "end_time_s": 60.249999999998714, "error": null, "experimental": true, "fps": 10, - "received_samples": 2702, + "received_samples": 604, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", @@ -14164,39 +21013,29 @@ "name": "third_person", "pose": null, "source": "third_person", - "width": 960 + "width": 720 }, { "fov_y": 45.0, "height": 720, - "name": "left_wrist", - "pose": null, - "source": "left_wrist", - "width": 960 - }, - { - "fov_y": 45.0, - "height": 720, - "name": "right_wrist", + "name": "wrist", "pose": null, - "source": "right_wrist", - "width": 960 + "source": "wrist", + "width": 720 } ] }, "view_names": [ "third_person", - "left_wrist", - "right_wrist" + "wrist" ], - "sha256": "2bdaf9f86ab60e4622871ff150b1d42fdc41ff097ab8f27ec201e19e320cd3f8", + "sha256": "73dac6240e4da279d5f73ff9c67815dc19eb01421a5c3914c17e160fdeb7a86e", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { - "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", - "duration": "\u4f7f\u7528 6,753 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", - "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", - "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" + "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", + "duration": "\u4f7f\u7528 1,210 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", + "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { @@ -14210,7 +21049,8 @@ "tests", "docs" ], - "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", + "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", + "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, @@ -14230,13 +21070,39 @@ "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", + "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" + }, + "kinex": { + "build_inputs": [ + "package.json", + "package-lock.json", + ".nvmrc", + "tsconfig.json", + "VERSION", + "src", + "packages/core", + "packages/setup", + "script", + "assets", + "bin" + ], + "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", + "dirty": false, + "revision": "caac19a8a36272972f762e0f74cfe381e8500048", + "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, - "job": "53-robodojo-sweep-blocks-codex-seed0-attempt02", - "attempt": 2, + "job": "task02-10-libero-10-10-codex-seed0-attempt01", + "attempt": 1, "harness": "stock Codex CLI", + "control_interface": "public RoboEnv SDK and CLI", + "kinex_agent_runtime_used": false, + "gpu_index": 7, + "gpu_model": "NVIDIA L40S", + "campaign_dispatch_concurrency_limit": 20, + "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", @@ -14253,55 +21119,51 @@ }, "classification": "formal", "measured_images": { - "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", - "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" + "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", + "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, - "session_original_sha256": "be31666114aa261782249264dd083ce5b32fbb390f72531eecbc57b471e032f9", - "protocol_sha256": "56d44fedec316c2ce14ed4b5c39044883d7c867957d2d59950232a1041e8cfbd" + "session_original_sha256": "aade80c22b44e7725c819da3487f588cabf244de9f7e94ef28d0d446d50a895a", + "protocol_sha256": "67091e2f8027e0c35cabd7bed5126858b5ff9603ccb55d40bccc34bb4b005d61" }, "links": { - "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/agent/session.jsonl", - "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/agent/trajectory.json", - "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/agent/provider-usage.jsonl", - "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/transcript.json", - "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/verifier/episode.json", - "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/verifier/protocol.json", - "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/instructions.json", - "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/verifier/workspace.tar.gz", - "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/verifier/workspace.json", - "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", - "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/native/evidence/episode/evidence/recording/manifest.json", - "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/usage.json", - "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/analysis.json", - "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/provenance.json", - "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/video.mp4", - "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/poster.jpg", - "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/media-validation.json" + "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/agent/session.jsonl", + "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/agent/trajectory.json", + "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/agent/provider-usage.jsonl", + "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/transcript.json", + "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/verifier/episode.json", + "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/verifier/protocol.json", + "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/instructions.json", + "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/verifier/workspace.tar.gz", + "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/verifier/workspace.json", + "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", + "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/evidence/episode/evidence/recording/manifest.json", + "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/usage.json", + "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/analysis.json", + "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/provenance.json", + "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/video.mp4", + "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/poster.jpg", + "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/media-validation.json", + "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { - "name": "tools/robot.py", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/resources/tools/robot.py", - "kind": "Created during this episode; final workspace snapshot." - }, - { - "name": "skills/robodojo/SKILL.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/resources/skills/robodojo/SKILL.md", + "name": "tools/panda_control.py", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { - "name": "memos/robodojo.md", - "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/resources/memos/robodojo.md", + "name": "memos/libero_panda.md", + "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { - "visible_events": 439, - "observed_images": 53, - "tool_errors": 9 + "visible_events": 88, + "observed_images": 42, + "tool_errors": 2 }, "selected_for_formal_metrics": true, - "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task04/53/seed-0/" + "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/main/episodes/task02/10/seed-0/" } ], "failure_review": { @@ -14309,6 +21171,6 @@ "reviewed": 0 }, "instruction_review": { - "policy": "Same final task definitions as the pinned Kinex baseline; native success conditions unchanged." + "policy": "RoboCasa and LIBERO use the current catalog instructions also used by their measured Kinex references. Each episode retains the exact measured instruction." } }