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: 1640-1659
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": 1659, "start_frame": 1640}, "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: 1660-1679
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": 1679, "start_frame": 1660}, "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: 1680-1699
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": 1699, "start_frame": 1680}, "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: 1700-1719
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": 1719, "start_frame": 1700}, "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.

gooseneck kettle
coffee dripper
digital scale
water bottle
coffee mug

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: 2000-2019
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2019, "start_frame": 2000}, "next_action": "Hold gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "water bottle", "coffee mug"], "subtask": "Handle gooseneck 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: 2020-2039
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2039, "start_frame": 2020}, "next_action": "Hold gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "water bottle", "coffee mug"], "subtask": "Handle gooseneck 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: 2040-2059
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2059, "start_frame": 2040}, "next_action": "Hold gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "water bottle", "coffee mug"], "subtask": "Handle gooseneck 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: 2060-2079
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2079, "start_frame": 2060}, "next_action": "Hold gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "water bottle", "coffee mug"], "subtask": "Handle gooseneck 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: 2080-2099
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2099, "start_frame": 2080}, "next_action": "Hold gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "water bottle", "coffee mug"], "subtask": "Handle gooseneck 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: 2100-2119
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2119, "start_frame": 2100}, "next_action": "Hold gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "water bottle", "coffee mug"], "subtask": "Handle gooseneck 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: 2120-2139
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2139, "start_frame": 2120}, "next_action": "Hold gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "water bottle", "coffee mug"], "subtask": "Handle gooseneck 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: 2140-2159
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2159, "start_frame": 2140}, "next_action": "Hold gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "water bottle", "coffee mug"], "subtask": "Handle gooseneck kettle", "transition": "no"}


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

gooseneck kettle
coffee dripper
scale
water bottle
white cup

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: 2800-2819
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2819, "start_frame": 2800}, "next_action": "Grasp gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "water bottle", "white cup"], "subtask": "Lift gooseneck 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: 2820-2839
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2839, "start_frame": 2820}, "next_action": "Grasp gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "water bottle", "white cup"], "subtask": "Lift gooseneck 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: 2840-2859
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2859, "start_frame": 2840}, "next_action": "Grasp gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "water bottle", "white cup"], "subtask": "Lift gooseneck 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: 2860-2879
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2879, "start_frame": 2860}, "next_action": "Grasp gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "water bottle", "white cup"], "subtask": "Lift gooseneck 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: 2880-2899
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2899, "start_frame": 2880}, "next_action": "Grasp gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "water bottle", "white cup"], "subtask": "Lift gooseneck 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: 2900-2919
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 gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2919, "start_frame": 2900}, "next_action": "Lift gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "water bottle", "white cup"], "subtask": "Lift gooseneck 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: 2920-2939
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": "Lift gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2939, "start_frame": 2920}, "next_action": "Lift gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "water bottle", "white cup"], "subtask": "Lift gooseneck 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: 2940-2959
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": "Lift gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2959, "start_frame": 2940}, "next_action": "Lift gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "water bottle", "white cup"], "subtask": "Lift gooseneck 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: 2960-2979
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": "Lift gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2979, "start_frame": 2960}, "next_action": "Lift gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale"], "subtask": "Lift gooseneck 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: 2980-2999
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": "Lift gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 2999, "start_frame": 2980}, "next_action": "Lift gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "scale"], "subtask": "Lift gooseneck kettle", "transition": "no"}


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

gooseneck kettle
coffee dripper
digital scale
white mug

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: 3000-3019
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": "Lift gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 3019, "start_frame": 3000}, "next_action": "Lift gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "white mug"], "subtask": "Lift gooseneck 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: 3020-3039
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": "Lift gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 3039, "start_frame": 3020}, "next_action": "Lift gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "white mug"], "subtask": "Lift gooseneck 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: 3040-3059
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": "Lift gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 3059, "start_frame": 3040}, "next_action": "Lift gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "white mug"], "subtask": "Lift gooseneck 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: 3060-3079
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": "Lift gooseneck kettle", "contact": "yes", "evidence_window": {"end_frame": 3079, "start_frame": 3060}, "next_action": "Lift gooseneck kettle", "objects": ["gooseneck kettle", "coffee dripper", "digital scale", "white mug"], "subtask": "Lift gooseneck kettle", "transition": "no"}


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

Set down kettle and retrieve white bottle

gooseneck kettle
coffee dripper
scale
white bottle

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

Prepare coffee equipment and scoop grounds

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3400-3419
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 away", "contact": "yes", "evidence_window": {"end_frame": 3419, "start_frame": 3400}, "next_action": "Move kettle away", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3420-3439
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 away", "contact": "yes", "evidence_window": {"end_frame": 3439, "start_frame": 3420}, "next_action": "Move kettle away", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3440-3459
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 away", "contact": "yes", "evidence_window": {"end_frame": 3459, "start_frame": 3440}, "next_action": "Move kettle away", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3460-3479
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 away", "contact": "yes", "evidence_window": {"end_frame": 3479, "start_frame": 3460}, "next_action": "Move kettle away", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3480-3499
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 away", "contact": "yes", "evidence_window": {"end_frame": 3499, "start_frame": 3480}, "next_action": "Move kettle away", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3500-3519
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 away", "contact": "yes", "evidence_window": {"end_frame": 3519, "start_frame": 3500}, "next_action": "Move kettle away", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3520-3539
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 away", "contact": "yes", "evidence_window": {"end_frame": 3539, "start_frame": 3520}, "next_action": "Move kettle away", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3540-3559
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 away", "contact": "yes", "evidence_window": {"end_frame": 3559, "start_frame": 3540}, "next_action": "Place kettle on table", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3560-3579
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place kettle on table", "contact": "yes", "evidence_window": {"end_frame": 3579, "start_frame": 3560}, "next_action": "Place kettle on table", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3580-3599
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place kettle on table", "contact": "yes", "evidence_window": {"end_frame": 3599, "start_frame": 3580}, "next_action": "Place kettle on table", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3600-3619
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place kettle on table", "contact": "yes", "evidence_window": {"end_frame": 3619, "start_frame": 3600}, "next_action": "Place kettle on table", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3620-3639
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place kettle on table", "contact": "yes", "evidence_window": {"end_frame": 3639, "start_frame": 3620}, "next_action": "Place kettle on table", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3640-3659
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place kettle on table", "contact": "yes", "evidence_window": {"end_frame": 3659, "start_frame": 3640}, "next_action": "Place kettle on table", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3660-3679
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Place kettle on table", "contact": "yes", "evidence_window": {"end_frame": 3679, "start_frame": 3660}, "next_action": "Pick up white bottle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3680-3699
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pick up white bottle", "contact": "yes", "evidence_window": {"end_frame": 3699, "start_frame": 3680}, "next_action": "Pick up white bottle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3700-3719
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pick up white bottle", "contact": "yes", "evidence_window": {"end_frame": 3719, "start_frame": 3700}, "next_action": "Pick up white bottle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}


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

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

Prepare coffee equipment and scoop grounds

Set down kettle and retrieve white bottle

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

[User]
Given the synchronized egocentric video/audio context and sensor window, identify the current embodied episode state.
Episode: xperience-10m-sample
Label window frames: 3720-3739
Return strict JSON only with keys: action, subtask, objects, contact, transition, next_action, evidence_window.
Use "unknown" for fields that cannot be determined.
Known action labels:
- Close bottle cap
- Grasp coffee scoop
- Grasp gooseneck kettle
- Hold coffee carafe
- Hold gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Move kettle away
- Pick up kettle
- Pick up white bottle
- Place item on table
- Place kettle on table
- Position kettle to pour
- Pour coffee
- Pour liquid from white bottle
- Pour milk into coffee
- Transfer coffee to dripper
- Wait/Prepare for pouring
Known subtask labels:
- Handle gooseneck kettle
- Lift gooseneck kettle
- Move kettle
- Pick up and position kettle
- Pour and close white bottle
- Pour coffee
- Pour milk into coffee
- Prepare coffee equipment and scoop grounds
- Prepare for pouring
- Set down kettle and retrieve white bottle
- Transfer coffee grounds to dripper

[Assistant] {"action": "Pick up white bottle", "contact": "yes", "evidence_window": {"end_frame": 3739, "start_frame": 3720}, "next_action": "Pick up white bottle", "objects": ["gooseneck kettle", "coffee dripper", "scale", "white bottle"], "subtask": "Set down kettle and retrieve white bottle", "transition": "no"}