Spaces:
Runtime error
Runtime error
audible audio, sentence-style moves/places, clearer sound and gaze questions, how-to panel
Browse files
app.py
CHANGED
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@@ -8,6 +8,7 @@ import argparse
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import csv
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import json
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import os
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from datetime import datetime
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from pathlib import Path
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@@ -68,6 +69,48 @@ if RESP_CSV.exists():
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RESP_CSV.rename(RESP_DIR / f"responses_old_{datetime.now():%Y%m%d_%H%M%S}.csv")
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def _join(xs):
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return "; ".join(f"({i + 1}) {x}" for i, x in enumerate(xs))
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@@ -83,29 +126,41 @@ def dim_questions(it):
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f"β{a.get('looks_like')}β. Is that what the object is and looks like?")
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q["localization"] = (f"2. Localization β do the red box (video + keyframes) and the green mask (keyframes) "
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f"cover the {name}, and not a neighbouring object, the hand, or background?")
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hist = a.get("history") or []
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q["state_history"] = (f"3.
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-
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moves =
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-
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-
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if moves else
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f"4. Moves β
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-
"
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snd = [f"{e['label']}
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sp = [f"β{e['label']}β
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-
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-
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if snd else
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f"5. Sounds β
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"
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+ (f" Speech heard in the clip: {_join(sp)} β is it transcribed correctly?" if sp else ""))
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-
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-
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-
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if a.get("looked_at") else
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f"6. Gaze β
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"
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return [gr.update(label=q[k], value=None) for k, _ in DIMENSIONS]
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@@ -188,19 +243,19 @@ def annotation_md(it):
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| **category** | {a.get('category')} |
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| **looks like** | {a.get('looks_like')} |
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| **color / material** | {a.get('color', '?')} / {a.get('material', '?')} |
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| **
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| **looked at** | {
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| **lifecycle** | first {lc.get('first_observed_sec')}s β last {lc.get('last_observed_sec')}s, {lc.get('final_status')} |
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| **confidence** | {it.get('confidence')} |
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###
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{fmt_list(a.get('history'))}
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### Moves
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{fmt_list(
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###
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{fmt_iv(ev.get('dwell'))}
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### Narrations linked to this object (blue lane) β annotator text, NOT audio
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{fmt_iv(ev.get('narration')) if ev.get('narration') else fmt_list(a.get('said'))}
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@@ -287,6 +342,19 @@ with gr.Blocks(title="Object-centric annotation eval") as demo:
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ann_md = gr.Markdown()
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with gr.Accordion("Cross-check vs original HD-EPIC annotation (auto-generated, for reference)", open=False):
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xc_md = gr.Markdown()
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gr.Markdown("## Your judgement")
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radios = [gr.Radio(CHOICES, label=q) for _, q in DIMENSIONS]
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gr.Markdown("### Narrations β judge each one separately\n"
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import csv
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import json
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import os
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import re
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from datetime import datetime
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from pathlib import Path
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RESP_CSV.rename(RESP_DIR / f"responses_old_{datetime.now():%Y%m%d_%H%M%S}.csv")
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def place(anchor):
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"""`P02_counter.002` -> `the counter #2`; `person_01` -> `the wearer's hand`."""
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if not anchor or anchor == "unknown":
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return "an unknown place"
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if anchor.startswith("person"):
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return "the wearer's hand"
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kind, _, num = re.sub(r"^P\d\d_", "", anchor).partition(".")
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return f"the {kind.replace('_', ' ')}" + (f" #{int(num)}" if num.isdigit() else "")
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def where(rel, anchor):
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if rel == "held_by":
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return "held in the wearer's hand"
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return {"inside": "inside", "on": "on", "hanging_on": "hanging on"}.get(rel, "at") + " " + place(anchor)
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def state_sentence(st):
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a, b = st["interval_sec"]
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w = where(st["relation"], st["anchor"])
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if b is None:
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return f"from {a:.1f}s until the end of the clip: {w}"
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if abs(b - a) < 0.05:
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return f"at {a:.1f}s: {w}"
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return f"from {a:.1f}s to {b:.1f}s: {w}"
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def move_sentence(tr):
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a, b = tr["interval_sec"]
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when = f"at {a:.1f}s" if abs(b - a) < 0.05 else f"between {a:.1f}s and {b:.1f}s"
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return (f"{when} it goes from β{where(tr['from']['relation'], tr['from']['anchor'])}β to "
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f"β{where(tr['to']['relation'], tr['to']['anchor'])}β (action: {tr['event'].replace('_', ' ')})")
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def gaze_summary(it):
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a, att = it["annotation"], it.get("attention") or {}
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if a.get("looked_at"):
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gap = att.get("prime_gap_sec")
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return (f"Yes β first look at {att.get('first_gaze_sec')}s"
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+ (f", about {gap:.1f}s before the hand touches it" if isinstance(gap, (int, float)) else ""))
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return "No β the memory found no look at this object before the hand touches it"
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def _join(xs):
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return "; ".join(f"({i + 1}) {x}" for i, x in enumerate(xs))
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f"β{a.get('looks_like')}β. Is that what the object is and looks like?")
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q["localization"] = (f"2. Localization β do the red box (video + keyframes) and the green mask (keyframes) "
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f"cover the {name}, and not a neighbouring object, the hand, or background?")
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hist = [state_sentence(x) for x in it.get("states") or []] or (a.get("history") or [])
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q["state_history"] = (f"3. Where it is β the memory says the {name} is: {_join(hist)}. "
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"Are these places and times correct?")
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moves = [move_sentence(x) for x in it.get("transitions") or []]
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MOVE_DEF = "A move = the object changes where it is (picked up, put down, put into or taken out of something). "
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q["moves"] = (f"4. Moves β {MOVE_DEF}The memory records for the {name}: {_join(moves)}. "
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"Is each move real, with the right start place, end place and time β and is no move missing?"
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if moves else
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f"4. Moves β {MOVE_DEF}The memory records NO move for the {name}. Do you agree that this "
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"object stays where it is for the whole clip?")
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snd = [f"β{e['label']}β at {e['t0']:.1f}β{e['t1']:.1f}s" for e in ev.get("sound") or []]
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sp = [f"β{e['label']}β at {e['t0']:.1f}β{e['t1']:.1f}s" for e in ev.get("speech") or []]
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LISTEN = "π Turn the sound ON for this one (the audio is amplified; click the speaker icon if the player is muted). "
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q["sound_speech"] = ((f"5. Sounds β {LISTEN}The memory links these sounds to the {name}: {_join(snd)}. "
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"Sound names are dataset categories (e.g. βstir / mix / whiskβ = a stirring sound, "
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"βmetal / plastic collisionβ = metal hitting plastic). For each: can you hear it at that "
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"time, and is it made by or with THIS object?"
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if snd else
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f"5. Sounds β {LISTEN}The memory links NO sound to the {name}. Do you agree that this "
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"object makes no audible sound in the clip?")
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+ (f" Speech heard in the clip: {_join(sp)} β is it transcribed correctly?" if sp else ""))
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GAZE_DEF = ("The red dot shows where the wearer is looking at every moment β it is always on screen. "
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"This question is only about whether they looked at THIS object just before touching it. ")
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gap = att.get("prime_gap_sec")
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q["gaze"] = (f"6. Gaze before touching β {GAZE_DEF}The memory claims the wearer looked at the {name} at about "
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f"{att.get('first_gaze_sec')}s"
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+ (f", {gap:.1f}s before the hand touches it" if isinstance(gap, (int, float)) else "")
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+ (" (yellow bar on the timeline). Around that time, is the red dot on or very close to this object?"
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if it["window_sec"][0] <= (att.get("first_gaze_sec") or -1) <= it["window_sec"][1] else
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f". That moment is OUTSIDE this clip ({it['window_sec'][0]:.0f}β{it['window_sec'][1]:.0f}s), so it "
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"cannot be checked here β please answer βCan't tellβ.")
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if a.get("looked_at") else
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f"6. Gaze before touching β {GAZE_DEF}The memory claims the wearer did NOT look at the {name} before "
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"touching it (grabbed or put it down without looking). In the few seconds before the hand first "
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"touches this object, does the red dot stay away from it?")
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return [gr.update(label=q[k], value=None) for k, _ in DIMENSIONS]
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| **category** | {a.get('category')} |
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| **looks like** | {a.get('looks_like')} |
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| **color / material** | {a.get('color', '?')} / {a.get('material', '?')} |
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| **at the end of the clip** | {where(now.get('relation'), now.get('at'))} (since {now.get('since_sec')}s){(' Β· contains: ' + str(now['contains'])) if now.get('contains') else ''} |
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| **looked at before touching** | {gaze_summary(it)} |
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| **lifecycle** | first {lc.get('first_observed_sec')}s β last {lc.get('last_observed_sec')}s, {lc.get('final_status')} |
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| **confidence** | {it.get('confidence')} |
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### Where it is (location history)
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{fmt_list([state_sentence(x) for x in it.get('states') or []] or a.get('history'))}
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### Moves (changes of place)
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{fmt_list([move_sentence(x) for x in it.get('transitions') or []])}
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### Claimed look at the object before touching it (yellow lane; the red dot itself is always shown)
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{fmt_iv(ev.get('dwell')) if a.get('looked_at') else '- *(none claimed)*'}
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### Narrations linked to this object (blue lane) β annotator text, NOT audio
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{fmt_iv(ev.get('narration')) if ev.get('narration') else fmt_list(a.get('said'))}
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ann_md = gr.Markdown()
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with gr.Accordion("Cross-check vs original HD-EPIC annotation (auto-generated, for reference)", open=False):
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xc_md = gr.Markdown()
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with gr.Accordion("How to judge β read this once", open=True):
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gr.Markdown(
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"- You are checking an automatically generated **memory record of ONE object** against the video. "
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"Each question states a claim from that record; answer whether the claim matches what you see and hear.\n"
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"- **Correct** = fully right Β· **Partially correct** = right idea but a place, time or detail is off Β· "
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"**Incorrect** = wrong Β· **Can't tell** = the video does not let you decide.\n"
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"- **Times** are seconds of the full recording: read them from the boxed **VIDEO TIME** (top-right) "
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"or the numbers on the bottom time axis. Small differences (under about 1 s) are fine.\n"
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"- **Places** such as βthe counter #2β or βthe fridge #1β are the dataset's names for kitchen fixtures; "
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"judge the kind of place (counter, fridge, drawer, hand β¦), you do not need to know which number it is.\n"
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"- **Sound**: π turn the sound on. The audio has been amplified because the original recording is very quiet.\n"
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"- **Gaze**: the red dot is where the wearer looks at each moment and is always visible. "
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"The gaze question only asks whether they looked at this object just before touching it.")
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gr.Markdown("## Your judgement")
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radios = [gr.Radio(CHOICES, label=q) for _, q in DIMENSIONS]
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gr.Markdown("### Narrations β judge each one separately\n"
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