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: 0-19
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 kettle", "contact": "yes", "evidence_window": {"end_frame": 19, "start_frame": 0}, "next_action": "Pick up kettle", "objects": ["kettle", "coffee dripper", "scale", "bottle"], "subtask": "Pick up and position kettle", "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: 20-39
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 kettle", "contact": "yes", "evidence_window": {"end_frame": 39, "start_frame": 20}, "next_action": "Pick up kettle", "objects": ["kettle", "coffee dripper", "scale", "bottle"], "subtask": "Pick up and position kettle", "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: 40-59
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 kettle", "contact": "yes", "evidence_window": {"end_frame": 59, "start_frame": 40}, "next_action": "Pick up kettle", "objects": ["kettle", "coffee dripper", "scale", "bottle"], "subtask": "Pick up and position kettle", "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: 60-79
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 kettle", "contact": "yes", "evidence_window": {"end_frame": 79, "start_frame": 60}, "next_action": "Pick up kettle", "objects": ["kettle", "coffee dripper", "scale", "bottle"], "subtask": "Pick up and position kettle", "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: 80-99
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 kettle", "contact": "yes", "evidence_window": {"end_frame": 99, "start_frame": 80}, "next_action": "Pick up kettle", "objects": ["kettle", "coffee dripper", "scale", "bottle"], "subtask": "Pick up and position kettle", "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: 100-119
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 kettle", "contact": "yes", "evidence_window": {"end_frame": 119, "start_frame": 100}, "next_action": "Pick up kettle", "objects": ["kettle", "coffee dripper", "scale", "bottle"], "subtask": "Pick up and position kettle", "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: 120-139
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 kettle", "contact": "yes", "evidence_window": {"end_frame": 139, "start_frame": 120}, "next_action": "Pick up kettle", "objects": ["kettle"], "subtask": "Pick up and position kettle", "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: 140-159
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 kettle", "contact": "yes", "evidence_window": {"end_frame": 159, "start_frame": 140}, "next_action": "Position kettle to pour", "objects": ["kettle"], "subtask": "Pick up and position kettle", "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: 160-179
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": "Position kettle to pour", "contact": "yes", "evidence_window": {"end_frame": 179, "start_frame": 160}, "next_action": "Position kettle to pour", "objects": ["kettle"], "subtask": "Pick up and position kettle", "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: 180-199
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": "Position kettle to pour", "contact": "yes", "evidence_window": {"end_frame": 199, "start_frame": 180}, "next_action": "Position kettle to pour", "objects": ["kettle"], "subtask": "Pick up and position kettle", "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: 200-219
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": "Position kettle to pour", "contact": "yes", "evidence_window": {"end_frame": 219, "start_frame": 200}, "next_action": "Position kettle to pour", "objects": ["kettle"], "subtask": "Pick up and position kettle", "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: 220-239
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": "Position kettle to pour", "contact": "yes", "evidence_window": {"end_frame": 239, "start_frame": 220}, "next_action": "Position kettle to pour", "objects": ["kettle"], "subtask": "Pick up and position kettle", "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: 240-259
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": "Position kettle to pour", "contact": "yes", "evidence_window": {"end_frame": 259, "start_frame": 240}, "next_action": "Position kettle to pour", "objects": ["kettle"], "subtask": "Pick up and position kettle", "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: 260-279
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": "Position kettle to pour", "contact": "yes", "evidence_window": {"end_frame": 279, "start_frame": 260}, "next_action": "Position kettle to pour", "objects": ["kettle"], "subtask": "Pick up and position kettle", "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: 280-299
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": "Position kettle to pour", "contact": "yes", "evidence_window": {"end_frame": 299, "start_frame": 280}, "next_action": "Position kettle to pour", "objects": ["kettle"], "subtask": "Pick up and position kettle", "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: 300-319
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": "Position kettle to pour", "contact": "yes", "evidence_window": {"end_frame": 319, "start_frame": 300}, "next_action": "Position kettle to pour", "objects": ["kettle"], "subtask": "Pick up and position kettle", "transition": "no"}


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

kettle
dripper
scale
coffee filter
table

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: 800-819
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": "Move kettle", "contact": "yes", "evidence_window": {"end_frame": 819, "start_frame": 800}, "next_action": "Move kettle", "objects": ["kettle", "dripper", "scale", "coffee filter", "table"], "subtask": "Move kettle", "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: 820-839
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": "Move kettle", "contact": "yes", "evidence_window": {"end_frame": 839, "start_frame": 820}, "next_action": "Move kettle", "objects": ["kettle", "dripper", "scale", "coffee filter", "table"], "subtask": "Move kettle", "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: 840-859
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": "Move kettle", "contact": "yes", "evidence_window": {"end_frame": 859, "start_frame": 840}, "next_action": "Move kettle", "objects": ["kettle", "dripper", "scale", "coffee filter", "table"], "subtask": "Move kettle", "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: 860-879
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": "Move kettle", "contact": "yes", "evidence_window": {"end_frame": 879, "start_frame": 860}, "next_action": "Move kettle", "objects": ["kettle", "dripper", "scale", "coffee filter", "table"], "subtask": "Move kettle", "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: 880-899
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": "Move kettle", "contact": "yes", "evidence_window": {"end_frame": 899, "start_frame": 880}, "next_action": "Move kettle", "objects": ["kettle", "dripper", "scale", "coffee filter", "table"], "subtask": "Move kettle", "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: 900-919
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": "Move kettle", "contact": "yes", "evidence_window": {"end_frame": 919, "start_frame": 900}, "next_action": "Move kettle", "objects": ["kettle", "dripper", "scale", "coffee filter", "table"], "subtask": "Move kettle", "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: 920-939
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": "Move kettle", "contact": "yes", "evidence_window": {"end_frame": 939, "start_frame": 920}, "next_action": "Move kettle", "objects": ["kettle", "dripper", "scale", "coffee filter", "table"], "subtask": "Move kettle", "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: 940-959
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": "Move kettle", "contact": "yes", "evidence_window": {"end_frame": 959, "start_frame": 940}, "next_action": "Move kettle", "objects": ["kettle", "dripper", "scale", "coffee filter", "table"], "subtask": "Move kettle", "transition": "no"}


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

Prepare coffee equipment and scoop grounds

glass carafe
coffee scale
coffee dripper
white mug
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

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: 1000-1019
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": "Hold coffee carafe", "contact": "yes", "evidence_window": {"end_frame": 1019, "start_frame": 1000}, "next_action": "Hold coffee carafe", "objects": ["glass carafe", "coffee scale", "coffee dripper", "white mug", "bottle"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1020-1039
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": "Hold coffee carafe", "contact": "yes", "evidence_window": {"end_frame": 1039, "start_frame": 1020}, "next_action": "Hold coffee carafe", "objects": ["glass carafe", "coffee scale", "coffee dripper", "white mug", "bottle"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1040-1059
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": "Hold coffee carafe", "contact": "yes", "evidence_window": {"end_frame": 1059, "start_frame": 1040}, "next_action": "Hold coffee carafe", "objects": ["glass carafe", "coffee scale", "coffee dripper", "white mug", "bottle"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1060-1079
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": "Hold coffee carafe", "contact": "yes", "evidence_window": {"end_frame": 1079, "start_frame": 1060}, "next_action": "Hold coffee carafe", "objects": ["glass carafe", "coffee scale", "coffee dripper", "white mug", "bottle"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1080-1099
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": "Hold coffee carafe", "contact": "yes", "evidence_window": {"end_frame": 1099, "start_frame": 1080}, "next_action": "Hold coffee carafe", "objects": ["glass carafe", "coffee scale", "coffee dripper", "white mug", "bottle"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1100-1119
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": "Hold coffee carafe", "contact": "yes", "evidence_window": {"end_frame": 1119, "start_frame": 1100}, "next_action": "Hold coffee carafe", "objects": ["glass carafe", "coffee scale", "coffee dripper", "white mug", "bottle"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1120-1139
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": "Hold coffee carafe", "contact": "yes", "evidence_window": {"end_frame": 1139, "start_frame": 1120}, "next_action": "Hold coffee carafe", "objects": ["glass carafe", "coffee scale", "coffee dripper", "white mug", "bottle"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1140-1159
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": "Hold coffee carafe", "contact": "yes", "evidence_window": {"end_frame": 1159, "start_frame": 1140}, "next_action": "Hold coffee carafe", "objects": ["glass carafe", "coffee scale", "coffee dripper", "white mug", "bottle"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1240-1259
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": "Grasp coffee scoop", "contact": "yes", "evidence_window": {"end_frame": 1259, "start_frame": 1240}, "next_action": "Grasp coffee scoop", "objects": ["glass carafe", "wooden scoop"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1260-1279
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": "Grasp coffee scoop", "contact": "yes", "evidence_window": {"end_frame": 1279, "start_frame": 1260}, "next_action": "Grasp coffee scoop", "objects": ["glass carafe", "wooden scoop"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1280-1299
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": "Grasp coffee scoop", "contact": "yes", "evidence_window": {"end_frame": 1299, "start_frame": 1280}, "next_action": "Grasp coffee scoop", "objects": ["glass carafe", "wooden scoop"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1300-1319
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": "Grasp coffee scoop", "contact": "yes", "evidence_window": {"end_frame": 1319, "start_frame": 1300}, "next_action": "Grasp coffee scoop", "objects": ["glass carafe", "wooden scoop"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1320-1339
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": "Grasp coffee scoop", "contact": "yes", "evidence_window": {"end_frame": 1339, "start_frame": 1320}, "next_action": "Grasp coffee scoop", "objects": ["glass carafe", "wooden scoop"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1340-1359
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": "Grasp coffee scoop", "contact": "yes", "evidence_window": {"end_frame": 1359, "start_frame": 1340}, "next_action": "Grasp coffee scoop", "objects": ["glass carafe", "wooden scoop"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1360-1379
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": "Grasp coffee scoop", "contact": "yes", "evidence_window": {"end_frame": 1379, "start_frame": 1360}, "next_action": "Grasp coffee scoop", "objects": ["glass carafe", "wooden scoop"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1380-1399
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": "Grasp coffee scoop", "contact": "yes", "evidence_window": {"end_frame": 1399, "start_frame": 1380}, "next_action": "Grasp coffee scoop", "objects": ["glass carafe", "wooden scoop"], "subtask": "Prepare coffee equipment and scoop grounds", "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: 1560-1579
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": "Transfer coffee to dripper", "contact": "yes", "evidence_window": {"end_frame": 1579, "start_frame": 1560}, "next_action": "Transfer coffee to dripper", "objects": ["coffee jar", "coffee scoop"], "subtask": "Transfer coffee grounds to dripper", "transition": "yes"}


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: 1580-1599
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": "Transfer coffee to dripper", "contact": "yes", "evidence_window": {"end_frame": 1599, "start_frame": 1580}, "next_action": "Transfer coffee to dripper", "objects": ["coffee jar", "coffee scoop"], "subtask": "Transfer coffee grounds to dripper", "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: 1600-1619
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": "Transfer coffee to dripper", "contact": "yes", "evidence_window": {"end_frame": 1619, "start_frame": 1600}, "next_action": "Transfer coffee to dripper", "objects": ["coffee scoop", "dripper"], "subtask": "Transfer coffee grounds to dripper", "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: 1620-1639
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": "Transfer coffee to dripper", "contact": "yes", "evidence_window": {"end_frame": 1639, "start_frame": 1620}, "next_action": "Transfer coffee to dripper", "objects": ["coffee scoop", "dripper"], "subtask": "Transfer coffee grounds to dripper", "transition": "no"}