Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3740-3759
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pick up white bottle", "contact": "yes", "evidence_window": {"end_frame": 3759, "start_frame": 3740}, "next_action": "Pick up white bottle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Set down kettle and retrieve white bottle

gooseneck kettle
coffee dripper
scale
white bottle

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3760-3779
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pick up white bottle", "contact": "yes", "evidence_window": {"end_frame": 3779, "start_frame": 3760}, "next_action": "Pick up white bottle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3780-3799
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pick up white bottle", "contact": "yes", "evidence_window": {"end_frame": 3799, "start_frame": 3780}, "next_action": "Pour liquid from white bottle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3800-3819
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour liquid from white bottle", "contact": "yes", "evidence_window": {"end_frame": 3819, "start_frame": 3800}, "next_action": "Pour liquid from white bottle", "objects": ["white bottle", "coffee dripper", "scale"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3820-3839
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour liquid from white bottle", "contact": "yes", "evidence_window": {"end_frame": 3839, "start_frame": 3820}, "next_action": "Pour liquid from white bottle", "objects": ["white bottle", "coffee dripper", "scale"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3840-3859
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour liquid from white bottle", "contact": "yes", "evidence_window": {"end_frame": 3859, "start_frame": 3840}, "next_action": "Pour liquid from white bottle", "objects": ["white bottle", "coffee dripper", "scale"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3860-3879
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour liquid from white bottle", "contact": "yes", "evidence_window": {"end_frame": 3879, "start_frame": 3860}, "next_action": "Pour liquid from white bottle", "objects": ["white bottle", "coffee dripper", "scale"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3880-3899
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour liquid from white bottle", "contact": "yes", "evidence_window": {"end_frame": 3899, "start_frame": 3880}, "next_action": "Pour liquid from white bottle", "objects": ["white bottle", "coffee dripper", "scale"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3900-3919
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour liquid from white bottle", "contact": "yes", "evidence_window": {"end_frame": 3919, "start_frame": 3900}, "next_action": "Close bottle cap", "objects": ["white bottle", "coffee dripper", "scale"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3920-3939
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Close bottle cap", "contact": "yes", "evidence_window": {"end_frame": 3939, "start_frame": 3920}, "next_action": "Close bottle cap", "objects": ["white bottle"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3940-3959
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Close bottle cap", "contact": "yes", "evidence_window": {"end_frame": 3959, "start_frame": 3940}, "next_action": "Close bottle cap", "objects": ["white bottle"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3960-3979
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Close bottle cap", "contact": "yes", "evidence_window": {"end_frame": 3979, "start_frame": 3960}, "next_action": "Close bottle cap", "objects": ["white bottle"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3980-3999
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Close bottle cap", "contact": "yes", "evidence_window": {"end_frame": 3999, "start_frame": 3980}, "next_action": "Close bottle cap", "objects": ["white bottle"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4000-4019
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Close bottle cap", "contact": "yes", "evidence_window": {"end_frame": 4019, "start_frame": 4000}, "next_action": "Close bottle cap", "objects": ["white bottle", "coffee dripper", "scale", "mug"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4020-4039
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Close bottle cap", "contact": "yes", "evidence_window": {"end_frame": 4039, "start_frame": 4020}, "next_action": "Close bottle cap", "objects": ["white bottle", "coffee dripper", "scale", "mug"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4040-4059
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Close bottle cap", "contact": "yes", "evidence_window": {"end_frame": 4059, "start_frame": 4040}, "next_action": "Close bottle cap", "objects": ["white bottle", "coffee dripper", "scale", "mug"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4060-4079
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Close bottle cap", "contact": "yes", "evidence_window": {"end_frame": 4079, "start_frame": 4060}, "next_action": "Close bottle cap", "objects": ["white bottle", "coffee dripper", "scale", "mug"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4080-4099
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Close bottle cap", "contact": "yes", "evidence_window": {"end_frame": 4099, "start_frame": 4080}, "next_action": "Close bottle cap", "objects": ["white bottle", "coffee dripper", "scale", "mug"], "subtask": "Pour and close white bottle", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

coffee equipment
small bottle
white mug
weighing scale

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4400-4419
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place item on table", "contact": "yes", "evidence_window": {"end_frame": 4419, "start_frame": 4400}, "next_action": "Place item on table", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4420-4439
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place item on table", "contact": "yes", "evidence_window": {"end_frame": 4439, "start_frame": 4420}, "next_action": "Place item on table", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4440-4459
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place item on table", "contact": "yes", "evidence_window": {"end_frame": 4459, "start_frame": 4440}, "next_action": "Place item on table", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4460-4479
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place item on table", "contact": "yes", "evidence_window": {"end_frame": 4479, "start_frame": 4460}, "next_action": "Place item on table", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4480-4499
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place item on table", "contact": "yes", "evidence_window": {"end_frame": 4499, "start_frame": 4480}, "next_action": "Place item on table", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4500-4519
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place item on table", "contact": "yes", "evidence_window": {"end_frame": 4519, "start_frame": 4500}, "next_action": "Wait/Prepare for pouring", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4520-4539
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Wait/Prepare for pouring", "contact": "yes", "evidence_window": {"end_frame": 4539, "start_frame": 4520}, "next_action": "Wait/Prepare for pouring", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4540-4559
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Wait/Prepare for pouring", "contact": "yes", "evidence_window": {"end_frame": 4559, "start_frame": 4540}, "next_action": "Wait/Prepare for pouring", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4560-4579
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Wait/Prepare for pouring", "contact": "yes", "evidence_window": {"end_frame": 4579, "start_frame": 4560}, "next_action": "Wait/Prepare for pouring", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4580-4599
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Wait/Prepare for pouring", "contact": "yes", "evidence_window": {"end_frame": 4599, "start_frame": 4580}, "next_action": "Wait/Prepare for pouring", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4600-4619
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Wait/Prepare for pouring", "contact": "yes", "evidence_window": {"end_frame": 4619, "start_frame": 4600}, "next_action": "Wait/Prepare for pouring", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4620-4639
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Wait/Prepare for pouring", "contact": "yes", "evidence_window": {"end_frame": 4639, "start_frame": 4620}, "next_action": "Wait/Prepare for pouring", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4640-4659
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Wait/Prepare for pouring", "contact": "yes", "evidence_window": {"end_frame": 4659, "start_frame": 4640}, "next_action": "Wait/Prepare for pouring", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 4660-4679
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Wait/Prepare for pouring", "contact": "yes", "evidence_window": {"end_frame": 4679, "start_frame": 4660}, "next_action": "Wait/Prepare for pouring", "objects": ["coffee equipment", "small bottle", "white mug", "weighing scale"], "subtask": "Prepare for pouring", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 5000-5019
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour coffee", "contact": "yes", "evidence_window": {"end_frame": 5019, "start_frame": 5000}, "next_action": "Pour coffee", "objects": ["carafe", "coffee mug", "scale"], "subtask": "Pour coffee", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 5020-5039
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour coffee", "contact": "yes", "evidence_window": {"end_frame": 5039, "start_frame": 5020}, "next_action": "Pour coffee", "objects": ["carafe", "coffee mug", "scale"], "subtask": "Pour coffee", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 5040-5059
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour coffee", "contact": "yes", "evidence_window": {"end_frame": 5059, "start_frame": 5040}, "next_action": "Pour coffee", "objects": ["carafe", "coffee mug", "scale"], "subtask": "Pour coffee", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 5060-5079
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour coffee", "contact": "yes", "evidence_window": {"end_frame": 5079, "start_frame": 5060}, "next_action": "Pour coffee", "objects": ["carafe", "coffee mug", "scale"], "subtask": "Pour coffee", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 5080-5099
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour coffee", "contact": "yes", "evidence_window": {"end_frame": 5099, "start_frame": 5080}, "next_action": "Pour coffee", "objects": ["carafe", "coffee mug", "scale"], "subtask": "Pour coffee", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 5100-5119
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour coffee", "contact": "yes", "evidence_window": {"end_frame": 5119, "start_frame": 5100}, "next_action": "Pour coffee", "objects": ["carafe", "coffee mug", "scale"], "subtask": "Pour coffee", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 5120-5139
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour coffee", "contact": "yes", "evidence_window": {"end_frame": 5139, "start_frame": 5120}, "next_action": "Pour coffee", "objects": ["carafe", "coffee mug", "scale"], "subtask": "Pour coffee", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 5140-5159
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour coffee", "contact": "yes", "evidence_window": {"end_frame": 5159, "start_frame": 5140}, "next_action": "Pour coffee", "objects": ["carafe", "coffee mug", "scale"], "subtask": "Pour coffee", "transition": "no"}


Question: Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.

coffee mug
stainless steel milk pitcher
table
milk bottle
digital scale

Close bottle cap
Grasp coffee scoop
Grasp gooseneck kettle
Hold coffee carafe
Hold gooseneck kettle
Lift gooseneck kettle
Move kettle
Move kettle away
Pick up kettle
Pick up white bottle
Place item on table
Place kettle on table
Position kettle to pour
Pour coffee
Pour liquid from white bottle
Pour milk into coffee
Transfer coffee to dripper
Wait/Prepare for pouring

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

[System] You are an embodied episode-understanding model for Ropedia/Xperience-10M. Answer every question as strict JSON with these keys: action, subtask, objects, contact, transition, next_action, evidence_window. Use "unknown" when the evidence is missing instead of guessing.

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 5800-5819
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pour milk into coffee", "contact": "yes", "evidence_window": {"end_frame": 5819, "start_frame": 5800}, "next_action": "Pour milk into coffee", "objects": ["coffee mug", "stainless steel milk pitcher", "table", "milk bottle", "digital scale"], "subtask": "Pour milk into coffee", "transition": "no"}