Upload batch take-000467-00001 (100 files)

.gitattributes

@@ -3290,3 +3290,22 @@ Room-scale/take-000466/timeline/timestamps.csv filter=lfs diff=lfs merge=lfs -te
 Room-scale/take-000466/timeline/zed_timestamps.csv filter=lfs diff=lfs merge=lfs -text
 Room-scale/take-000466/videos_and_annotations/SMPL-X_projection/overlay/manifest.csv filter=lfs diff=lfs merge=lfs -text
 Room-scale/take-000466/videos_and_annotations/human_mask_projection/manifest.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/motions/human/poses_motion.pc2 filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/motions/objects/toscene/Cactus_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/motions/objects/toscene/Coffee_Cup_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/motions/objects/toscene/Knife_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/motions/objects/toscene/Plant_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/motions/objects/toscene/Tea_Box1_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/motions/objects/toscene/Tea_Box2_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/motions/objects/toscene/Water_Dispenser_toscene.obj filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/raw/mocap_raw/Take[[:space:]]2026-06-29[[:space:]]09.06.57[[:space:]]PM.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/raw/mocap_raw/Take[[:space:]]2026-06-29[[:space:]]09.06.57[[:space:]]PM_Manus_cccaa56a_cccaa56a_scaled.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/raw/mocap_raw/Take[[:space:]]2026-06-29[[:space:]]09.06.57[[:space:]]PM_Manus_e4b088e5_e4b088e5_scaled.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/raw/mocap_raw/Take[[:space:]]2026-06-29[[:space:]]09.06.57[[:space:]]PM_Yukang.bvh filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/raw/mocap_raw/motive_frames.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/timeline/sync_timeline.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/timeline/timelines/motive_frames.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/timeline/timelines/sync_timeline.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/timeline/timelines/timestamps.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/timeline/timelines/zed_timestamps.csv filter=lfs diff=lfs merge=lfs -text
+Room-scale/take-000467/timeline/timestamps.csv filter=lfs diff=lfs merge=lfs -text

Room-scale/take-000467/caption/llm_description_part1.json

@@ -0,0 +1,18 @@
+{
+    "source_video_name": "2026-06-29-21-06-21.mp4",
+    "start": 0.0,
+    "end": 179.85,
+    "size": 58.32146167755127,
+    "FileId": "5001834812542272478",
+    "URL": "https://1437245006.vod-qcloud.com/dcad98e2vodcq1437245006/9b5ef49e5001834812542272478/A35ZMA1yATYA.mp4",
+    "upload_status": "success",
+    "video_name": "2026-06-29-21-06-21_part001",
+    "response": {
+        "reasoning": "**My Thought Process for Analyzing and Summarizing the Video**\n\nMy primary objective here is to dissect this video into actionable components, specifically to produce a high-level description of the overall task being performed and then to break that down into a sequence of granular subtasks, each precisely timestamped.\n\n1.  **Grasping the Core Objective:** First, I need to understand the overarching goal. I observe someone sitting on a couch, engaging with a TV using a remote. They then get up, move to the kitchen, retrieve a bowl and an apple from the fridge, return to the couch, and begin consuming the apple while watching TV. Essentially, the main objective is to combine the activity of watching TV with the enjoyment of an apple, prepared in a bowl. I'm looking for a concise, yet comprehensive, statement of this goal. After considering a few options, I settle on: \"Get an apple from the fridge to eat on the couch while watching TV.\" This captures the key elements: acquisition, consumption, location, and the concurrent activity.\n\n2.  **Deconstructing into Subtasks and Temporal Mapping:** Now, I need to meticulously break down the observed actions into individual, discrete subtasks and assign precise time intervals to each.\n\n    *   **`00:00 - 00:06`**: The initial action involves holding a remote and directing it towards the TV. This clearly indicates the user is initiating interaction with the television. I'll label this: \"turn on the TV using the remote.\"\n    *   **`00:06 - 01:38`**: The person is now settled on the couch, actively watching the TV, with intermittent interaction with the remote. This phase is best described as \"watch the TV while sitting on the couch.\"\n    *   **`01:38 - 01:42`**: A clear action of placing the remote down on the coffee table. This is a distinct subtask: \"place the remote onto the coffee table.\"\n    *   **`01:42 - 01:57`**: The person transitions from sitting to standing and then moves from the couch area to the kitchen counter. This movement can be summarized as: \"walk from the couch to the kitchen counter.\"\n    *   **`01:57 - 02:02`**: At the kitchen counter, the person picks up a bowl. This is a straightforward action: \"pick up the bowl from the kitchen counter.\"\n    *   **`02:02 - 02:12`**: The next movement is from the kitchen counter towards the refrigerator. I'll denote this as: \"walk from the kitchen counter to the refrigerator.\"\n    *   **`02:12 - 02:17`**: The refrigerator door is opened. This is a distinct interaction: \"open the refrigerator door.\"\n    *   **`02:17 - 02:22`**: The person reaches into the fridge and retrieves a plastic bag containing an apple. This action is: \"take the plastic bag containing the apple out of the refrigerator.\"\n    *   **`02:22 - 02:26`**: Following the retrieval, the refrigerator door is closed. This is a separate, consequential action: \"close the refrigerator door.\"\n    *   **`02:26 - 02:31`**: The person now moves from the refrigerator to a nearby white table, presumably in the kitchen area. The subtask is: \"walk from the refrigerator to the white table.\"\n    *   **`02:31 - 02:37`**: At the table, the crucial step of transferring the apple from the bag to the bowl occurs. I need to be precise here, ensuring no ambiguity: \"take the apple out of the plastic bag and put the apple into the bowl.\"\n    *   **`02:37 - 02:44`**: The person returns to the couch, now carrying the bowl with the apple, and sits down. This composite movement and seating action is: \"carry the bowl containing the apple to the couch and sit down.\"\n    *   **`02:44 - 02:59`**: The final action depicted is picking up the apple from the bowl and beginning to eat it. This is: \"pick up the apple from the bowl and eat the apple.\"\n\n3.  **Refining Subtasks and Timestamps for Precision and Adherence to Guidelines:** My final review involves ensuring strict adherence to the specified output format. This includes:\n\n    *   **Imperative Sentence Structure:** Each subtask description must be an imperative sentence (e.g., \"Turn,\" \"Place,\" \"Walk\"). I've ensured this throughout.\n    *   **Explicit Object Mention:** Pronouns are to be avoided. I've carefully rephrased \"put it into the bowl\" to \"put the apple into the bowl\" and \"eat it\" to \"eat the apple\" to maintain clarity and avoid pronouns.\n    *   **Interaction Structure:** Where applicable, I've implicitly or explicitly noted interactions (e.g., \"using the remote,\" \"from the kitchen counter,\" \"onto the coffee table\").\n    *   **Continuous and Non-Overlapping Timeline:** I've meticulously verified that the timestamps are sequential, cover the entire video duration without gaps, and do not overlap. I've converted all human-readable times (like 00:06) into their precise second values (6.0) for the final output.\n\n    My refined subtasks and their corresponding timestamps are now:\n\n    1.  `[0.0-6.0]` turn on the TV using the remote\n    2.  `[6.0-98.0]` watch the TV\n    3.  `[98.0-102.0]` place the remote onto the coffee table\n    4.  `[102.0-117.0]` walk from the couch to the kitchen counter\n    5.  `[117.0-122.0]` pick up the bowl from the kitchen counter\n    6.  `[122.0-132.0]` walk from the kitchen counter to the refrigerator\n    7.  `[132.0-137.0]` open the refrigerator door\n    8.  `[137.0-142.0]` take the plastic bag containing the apple out of the refrigerator\n    9.  `[142.0-146.0]` close the refrigerator door\n    10. `[146.0-151.0]` walk from the refrigerator to the white table\n    11. `[151.0-157.0]` take the apple out of the plastic bag and put the apple into the bowl\n    12. `[157.0-164.0]` carry the bowl containing the apple to the couch and sit down\n    13. `[164.0-179.0]` pick up the apple from the bowl and eat the apple\n\n    Finally, I consolidate the high-level task description: \"Fetch an apple from the fridge and a bowl to eat on the couch while watching TV.\" This provides the essential context for the detailed subtask breakdown.\n\n",
+        "result": "Task: Get an apple from the refrigerator and a bowl to eat on the couch while watching TV.\n\nSubtasks:\n1. [0.0-6.0] turn on the TV using the remote\n2. [6.0-98.0] watch the TV\n3. [98.0-102.0] place the remote onto the coffee table\n4. [102.0-117.0] walk from the couch to the kitchen counter\n5. [117.0-122.0] pick up the bowl from the kitchen counter\n6. [122.0-132.0] walk from the kitchen counter to the refrigerator\n7. [132.0-137.0] open the refrigerator door\n8. [137.0-142.0] take the plastic bag containing the apple out of the refrigerator\n9. [142.0-146.0] close the refrigerator door\n10. [146.0-151.0] walk from the refrigerator to the white table\n11. [151.0-157.0] take the apple out of the plastic bag and put the apple into the bowl\n12. [157.0-164.0] carry the bowl containing the apple to the couch and sit down\n13. [164.0-179.0] pick up the apple from the bowl and eat the apple",
+        "prompt tokens": 6143,
+        "completion tokens": 3133,
+        "total tokens": 9276
+    },
+    "analysis_status": "success"
+}

Room-scale/take-000467/caption/llm_description_part2.json

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+{
+    "source_video_name": "2026-06-29-21-06-21.mp4",
+    "start": 169.85,
+    "end": 349.7,
+    "size": 65.44835567474365,
+    "FileId": "5001834812540383595",
+    "URL": "https://1437245006.vod-qcloud.com/dcad98e2vodcq1437245006/03d24d1f5001834812540383595/waH4VhcEs04A.mp4",
+    "upload_status": "success",
+    "video_name": "2026-06-29-21-06-21_part002",
+    "response": {
+        "reasoning": "**Analysis of Video for Task Decomposition**\n\nOkay, here's my breakdown of this video. The prompt wants a concise task description and subtasks with temporal annotations, so let's get to it.\n\n1.  **Task Description:** My immediate goal is to capture the essence of the activity in one clear sentence. After carefully observing the video, the overarching task is to \"Prepare vegetables by cutting them and transferring them into a pot.\"\n\n2.  **Subtasks:** Now, let's break this down into actionable subtasks with start and end times, expressed as imperatives, explicitly naming the objects involved, and including interactions.\n\n    *   \\[0.0-13.0] place the apple into the bowl\n    *   \\[13.0-23.0] place the bowl onto the table\n    *   \\[23.0-39.0] walk to the fridge\n    *   \\[39.0-46.0] take the bag of vegetables from the fridge\n    *   \\[46.0-88.0] walk to the table holding the bag of vegetables\n    *   \\[88.0-103.0] take the vegetables from the bag and place them onto the cutting board\n    *   \\[103.0-127.0] pick up the knife from the table\n    *   \\[127.0-142.0] cut the vegetables using the knife\n    *   \\[142.0-160.0] walk to pick up the pot and place it onto the table\n    *   \\[160.0-168.0] pick up the pot and the knife\n    *   \\[168.0-184.0] move the cut vegetables from the cutting board into the pot using the knife until the cutting board is clear.\n\nThat should be precisely what is requested. I've double-checked that everything is non-overlapping, and the timestamps are exact to the key events. The end subtask includes the termination condition.\n\n\n",
+        "result": "Task: Prepare vegetables by cutting them and transferring them into a pot.\n\nSubtasks:\n1. [0.0-13.0] place the apple into the bowl\n2. [13.0-23.0] place the bowl onto the table\n3. [23.0-39.0] walk to the fridge\n4. [39.0-46.0] take the bag of vegetables from the fridge\n5. [46.0-88.0] walk to the table holding the bag of vegetables\n6. [88.0-103.0] take the vegetables from the bag and place them onto the cutting board\n7. [103.0-127.0] pick up the knife from the table\n8. [127.0-142.0] cut the vegetables using the knife\n9. [142.0-160.0] walk to pick up the pot and place the pot onto the table\n10. [160.0-168.0] pick up the pot and the knife\n11. [168.0-184.0] move the cut vegetables from the cutting board into the pot using the knife until the cutting board is clear",
+        "prompt tokens": 6273,
+        "completion tokens": 3985,
+        "total tokens": 10258
+    },
+    "analysis_status": "success"
+}

Room-scale/take-000467/caption/llm_description_part3.json

@@ -0,0 +1,18 @@
+{
+    "source_video_name": "2026-06-29-21-06-21.mp4",
+    "start": 339.7,
+    "end": 519.55,
+    "size": 68.81285953521729,
+    "FileId": "5001834812545924415",
+    "URL": "https://1437245006.vod-qcloud.com/dcad98e2vodcq1437245006/924864bc5001834812545924415/Y52OUtOspBsA.mp4",
+    "upload_status": "success",
+    "video_name": "2026-06-29-21-06-21_part003",
+    "response": {
+        "reasoning": "**Analysis of Video for Task Decomposition**\n\nOkay, here's my breakdown of this video, as requested. The objective is to identify a high-level task and break it down into a sequence of subtasks, complete with temporal annotations.\n\nInitially, I focused on understanding the core goal. The user wants me to distill what's happening and how it unfolds, specifically into a format with a main task and a structured set of subtasks.  So, I watched the video closely, segmenting it based on discernible actions.\n\nHere's the analysis:\n\n*   **00:00 - 00:09:** The person is at a white table, using a knife to move green pieces from a cutting board to a small frying pan.  I identified this as Subtask 1.\n*   **00:09 - 00:19:**  They switch to a spatula to get the remaining pieces into the pan. This is Subtask 2.\n*   **00:19 - 00:30:** The person carries the pan, now with the green bits, towards the living room area. This is Subtask 3.\n*   **00:30 - 01:05:** They are standing near a coffee table in front of a TV, \"cooking\" or interacting with something on the table. This feels like a longer, more involved part, so I am putting this down as Subtask 4.\n*   **01:05 - 01:21:** They head towards a trash can. That's Subtask 5.\n*   **01:21 - 01:28:**  The person dumps the contents of the pan into the trash. Subtask 6.\n*   **01:28 - 01:34:** They return with the empty pan to the kitchen area. Subtask 7.\n*   **01:34 - 01:46:**  The pan is placed in the sink. This is Subtask 8.\n*   **01:46 - 02:11:** The person returns to the table and picks up the knife and the cutting board. Subtask 9\n*   **02:11 - 02:16:** They walk to the sink, carrying the knife and cutting board. Subtask 10.\n*   **02:16 - 02:21:**  The board and knife are placed in the sink. Subtask 11.\n*   **02:21 - 02:30:**  They walk back to the white table, Subtask 12.\n*   **02:30 - 02:35:**  They pick up a plastic bag. Subtask 13.\n*   **02:35 - 02:45:** They carry the bag to the trash can. Subtask 14.\n*   **02:45 - 02:50:** The bag goes in the trash. Subtask 15.\n*   **02:50 - 02:56:**  They walk back to the coffee table. Subtask 16.\n*   **02:56 - 03:03:** They pick up a bowl and walk towards the TV. Subtask 17.\n\nBased on these observations, I synthesized the overarching task as: \"The person simulates cooking, cleans up, and picks up a bowl.\"\n\nNow, I'm formatting those subtasks into imperative sentences to refine them:\n\n1.  **00:00-00:09:** Slide the green pieces from the cutting board into the frying pan using the knife.\n2.  **00:09-00:19:** Slide the remaining green pieces from the cutting board into the frying pan using the spatula.\n3.  **00:19-00:30:** Carry the frying pan from the white table to the coffee table.\n4.  **00:30-01:05:** Hold the frying pan above the bowl on the coffee table.\n5.  **01:05-01:21:** Carry the frying pan from the coffee table to the trash can.\n6.  **01:21-01:28:** Pour the green pieces from the frying pan into the trash can.\n7.  **01:28-01:46:** Carry the empty frying pan from the trash can to the kitchen sink and place the frying pan into the sink.\n8.  **01:46-0\n\n",
+        "result": "Task: Cook the vegetables, dispose of the waste, place the used dishes in the sink, and pick up the bowl containing the fake egg.\n\nSubtasks:\n1. [00:00-00:09] slide the green pieces from the cutting board into the frying pan using the knife\n2. [00:09-00:19] slide the remaining green pieces from the cutting board into the frying pan using the spatula\n3. [00:19-00:30] carry the frying pan from the white table to the coffee table\n4. [00:30-01:05] hold the frying pan above the bowl on the coffee table\n5. [01:05-01:21] carry the frying pan from the coffee table to the trash can\n6. [01:21-01:28] pour the green pieces from the frying pan into the trash can until the frying pan is empty\n7. [01:28-01:46] carry the empty frying pan from the trash can to the kitchen sink and place the frying pan into the sink\n8. [01:46-02:11] walk from the kitchen sink to the white table and pick up the knife and the cutting board\n9. [02:11-02:21] carry the knife and the cutting board from the white table to the kitchen sink and place the knife and the cutting board into the sink\n10. [02:21-02:35] walk from the kitchen sink to the white table and pick up the plastic bag\n11. [02:35-02:50] carry the plastic bag from the white table to the trash can and drop the plastic bag into the trash can\n12. [02:50-03:03] walk from the trash can to the coffee table and pick up the bowl with the fake egg",
+        "prompt tokens": 6273,
+        "completion tokens": 2656,
+        "total tokens": 8929
+    },
+    "analysis_status": "success"
+}

Room-scale/take-000467/caption/llm_description_part4.json

@@ -0,0 +1,18 @@
+{
+    "source_video_name": "2026-06-29-21-06-21.mp4",
+    "start": 509.55,
+    "end": 689.4,
+    "size": 65.68651676177979,
+    "FileId": "5001834812537231388",
+    "URL": "https://1437245006.vod-qcloud.com/dcad98e2vodcq1437245006/2fb75cfd5001834812537231388/8auH2AALV3QA.mp4",
+    "upload_status": "success",
+    "video_name": "2026-06-29-21-06-21_part004",
+    "response": {
+        "reasoning": "**Analysis of the Video: Task Decomposition**\n\nOkay, so the user wants me to analyze this video and break down the actions into a task description and a sequence of subtasks. I can see the user is wearing a motion capture suit and is moving around an apartment or office space in a first-person view. It seems like the goal is to describe human manipulation from the video.\n\nInitially, I see a series of disjointed actions, maybe related to preparing for a scene or data collection. Let's start by tracing the path and the actions. I'm noting each action, its start, and its end time.\n\n*   **00:00 - 00:20:** Picks up an orange, walks to the fridge, opens it, puts the orange in, and closes the fridge. (Task 1: Put orange in fridge)\n*   **00:20 - 00:50:** Walks to a desk, grabs a pen, writes on paper, and sets the pen down. Picks up a bowl and heads towards the kitchen. (Task 2: Write on paper, carry bowl)\n*   **00:50 - 01:00:** Brings the bowl to the sink, washes it, and leaves it in the sink. (Task 3: Wash bowl)\n*   **01:00 - 01:26:** Walks back to the desk, picks up a black thermos/bottle, moves it to the sink, opens it, potentially washes or fills it, puts the lid back on, and brings it back to the desk. (Task 4: Interact with thermos)\n*   **01:26 - 02:08:** Moves to the bed area, picks up a black object that looks like a VR tracker or controller from a small round table, and moves it to the main desk, placing it down. (Task 5: Move tracker)\n*   **02:08 - 02:26:** Walks around, finds a small green plant on the kitchen counter, picks it up, walks to the living room area, and puts it on the orange coffee table. (Task 6: Move plant)\n*   **02:26 - 03:00:** Walks to a wardrobe/closet, picks up a cardboard box from the floor, opens the closet, places the box inside on a shelf, closes the doors, and picks up another piece of cardboard. (Task 7: Put box in closet)\n\nWait, this seems like someone's just doing household chores or tasks to generate data. Maybe there's a single overarching task, or I can just summarize it as a series of actions. The prompt says \"understanding human manipulation tasks from videos\", and \"overall goal in one concise sentence.\"\n\nLet's re-examine the whole video. I can see the person is tidying the room. Putting the orange away, writing a note, washing the bowl, moving objects to their places, putting the box away.\n\n**Overall Task:** *Clean up and organize objects in the room.*\n\nNow, I will refine the subtasks based on the chronological order. Let's make sure that subtasks adhere to the user's requirements and follow imperative format.\n\n*   [00:00 - 00:08] Picks up an orange from the desk and walks to the fridge.\n*   [00:08 - 00:19] Opens the fridge, places the orange inside, and closes the door.\n*   [00:19 - 00:39] Walks to the desk, picks up a pen.\n*   [00:39 - 00:46] Writes on a piece of paper using the pen.\n*   [00:46 - 00:55] Puts down the pen, picks up a bowl, and walks to the kitchen sink.\n*   [00:55 - 00:59] Places the bowl in the sink and washes it.\n*   [00:59 - 01:08] Walks back to the desk and picks up a black thermos.\n*   [01:08 - 01:14] Walks to the sink, opens the thermos.\n*   [01:14 - 01:21] Washes or fills the thermos, then closes it.\n*   [01:21 - 01:27] Carries the thermos back and places it on the desk.\n*   [01:27 - 01:43] Walks to the bedroom area.\n*   [01:43 - 01:54] Picks up a black\n\n",
+        "result": "Task: Clean up and organize various objects across different rooms in the apartment.\n\nSubtasks:\n1. [0.0-10.0] pick up the orange from the desk and walk to the fridge\n2. [10.0-19.0] open the fridge, place the orange into the fridge, and close the fridge\n3. [19.0-39.0] walk to the desk and pick up the pen from the desk\n4. [39.0-46.0] write on the paper with the pen until the note is complete\n5. [46.0-55.0] place the pen onto the desk, pick up the bowl from the desk, and walk to the sink\n6. [55.0-59.0] place the bowl into the sink and wash the bowl\n7. [59.0-68.0] walk to the desk and pick up the thermos from the desk\n8. [68.0-74.0] walk to the sink and open the thermos\n9. [74.0-81.0] wash the thermos in the sink and close the thermos\n10. [81.0-87.0] carry the thermos to the desk and place the thermos onto the desk\n11. [87.0-103.0] walk to the bedroom and approach the bedside table\n12. [103.0-114.0] pick up the tracker from the bedside table\n13. [114.0-128.0] walk to the main desk and place the tracker onto the desk\n14. [128.0-137.0] walk to the kitchen counter and pick up the small plant from the counter\n15. [137.0-147.0] walk to the living room and place the small plant onto the coffee table\n16. [147.0-164.0] walk to the wardrobe and pick up the cardboard box from the floor\n17. [164.0-176.0] open the wardrobe doors, place the cardboard box onto the shelf, and close the wardrobe doors\n18. [176.0-181.0] pick up the remaining cardboard piece from the floor",
+        "prompt tokens": 6209,
+        "completion tokens": 4031,
+        "total tokens": 10240
+    },
+    "analysis_status": "success"
+}

Room-scale/take-000467/caption/llm_description_part5.json

@@ -0,0 +1,18 @@
+{
+    "source_video_name": "2026-06-29-21-06-21.mp4",
+    "start": 679.4,
+    "end": 859.25,
+    "size": 66.85966300964355,
+    "FileId": "5001834812547861514",
+    "URL": "https://1437245006.vod-qcloud.com/dcad98e2vodcq1437245006/2a2e76be5001834812547861514/LYVvfbPvHmgA.mp4",
+    "upload_status": "success",
+    "video_name": "2026-06-29-21-06-21_part005",
+    "response": {
+        "reasoning": "**Analysis of the Manipulation Task**\n\nOkay, here's what I've distilled from this video. The prompt sets the stage, so here are the steps:\n\nTask: Throw a piece of cardboard into the trash bin, wash a yellow mug in the sink, and sit on the sofa.\n\nSubtasks:\n1.  [0.0-9.0] Open the upper cabinet, reach towards the tea box, and close the cabinet doors.\n2.  [9.0-16.0] Walk to the desk.\n3.  [16.0-22.0] Pick up the cardboard from the desk.\n4.  [22.0-29.0] Walk to the trash bin and drop the cardboard into the trash bin.\n5.  [29.0-116.0] Walk around the room and stand in front of the television.\n6.  [116.0-136.0] Walk to the desk and look at the laptop.\n7.  [136.0-199.0] Walk to the kitchen counter.\n8.  [199.0-211.0] Pick up the yellow mug from the kitchen counter.\n9.  [211.0-216.0] Walk to the sink.\n10. [216.0-221.0] Wash the yellow mug in the sink.\n11. [221.0-227.0] Inspect the yellow mug.\n12. [227.0-238.0] Wash the yellow mug in the sink.\n13. [238.0-244.0] Walk to the kitchen counter and place the yellow mug onto the kitchen counter.\n14. [244.0-256.0] Walk to the sofa.\n15. [256.0-305.0] Sit down on the sofa.\n\n\n",
+        "result": "Task: Throw a piece of cardboard into the trash bin, wash a yellow mug in the sink, and sit on the sofa.\n\nSubtasks:\n1. [0.0-9.0] open the cabinet, reach towards the tea box, and close the cabinet doors\n2. [9.0-16.0] walk to the desk\n3. [16.0-22.0] pick up the cardboard from the desk\n4. [22.0-29.0] walk to the trash bin and drop the cardboard into the trash bin\n5. [29.0-116.0] walk around the room and stand in front of the television\n6. [116.0-136.0] walk to the desk and look at the laptop\n7. [136.0-199.0] walk to the kitchen counter\n8. [199.0-211.0] pick up the yellow mug from the kitchen counter\n9. [211.0-216.0] walk to the sink\n10. [216.0-221.0] wash the yellow mug in the sink\n11. [221.0-227.0] inspect the yellow mug\n12. [227.0-238.0] wash the yellow mug in the sink\n13. [238.0-244.0] walk to the kitchen counter and place the yellow mug onto the kitchen counter\n14. [244.0-256.0] walk to the sofa\n15. [256.0-305.0] sit down on the sofa",
+        "prompt tokens": 6337,
+        "completion tokens": 5166,
+        "total tokens": 11503
+    },
+    "analysis_status": "success"
+}

Room-scale/take-000467/motions/assets.json

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+{
+  "fps": 60,
+  "n_frames": 52976,
+  "human": {
+    "template": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/human/poses_template.obj",
+    "pc2": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/human/poses_motion.pc2"
+  },
+  "objects": [
+    {
+      "name": "Cactus",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Cactus_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Cactus.npz"
+    },
+    {
+      "name": "Coffee Cup",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Coffee_Cup_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Coffee_Cup.npz"
+    },
+    {
+      "name": "Cooking Pot",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Cooking_Pot_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Cooking_Pot.npz"
+    },
+    {
+      "name": "Cup White",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Cup_White_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Cup_White.npz"
+    },
+    {
+      "name": "Cup Yellow",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Cup_Yellow_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Cup_Yellow.npz"
+    },
+    {
+      "name": "Cutting Board",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Cutting_Board_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Cutting_Board.npz"
+    },
+    {
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+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Dustpan_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Dustpan.npz"
+    },
+    {
+      "name": "Kettle",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Kettle_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Kettle.npz"
+    },
+    {
+      "name": "Knife",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Knife_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Knife.npz"
+    },
+    {
+      "name": "Lunch Box",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Lunch_Box_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Lunch_Box.npz"
+    },
+    {
+      "name": "Lunch Box Cover",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Lunch_Box_Cover_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Lunch_Box_Cover.npz"
+    },
+    {
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+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Plant_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Plant.npz"
+    },
+    {
+      "name": "Pot Lid",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Pot_Lid_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Pot_Lid.npz"
+    },
+    {
+      "name": "Seasoning Jar",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Seasoning_Jar_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Seasoning_Jar.npz"
+    },
+    {
+      "name": "Spatula",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Spatula_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Spatula.npz"
+    },
+    {
+      "name": "Tea Box1",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Tea_Box1_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Tea_Box1.npz"
+    },
+    {
+      "name": "Tea Box2",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Tea_Box2_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Tea_Box2.npz"
+    },
+    {
+      "name": "Water Cup Blue",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Water_Cup_Blue_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Water_Cup_Blue.npz"
+    },
+    {
+      "name": "Water Dispenser",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/Water_Dispenser_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/Water_Dispenser.npz"
+    },
+    {
+      "name": "White Bowl",
+      "mesh": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/toscene/White_Bowl_toscene.obj",
+      "pose_npz": "/home/acerobotics/ace-sync-data/still_run/2026-06-29-21:06:21/viz/objects/pose/White_Bowl.npz"
+    }
+  ]
+}

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Room-scale/take-000467/motions/objects/bbox_cache.json

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