{"unique_id": "-35BPXuZ898_T1_1_0", "video_id": "-35BPXuZ898", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Curly Hair Female - Student(Holly)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Curly Hair Female - Student(Holly)]. During the interaction, when the Professor misinterprets her comment about watching movies with \"her girls,\" based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Curly Hair Female - Student(Holly)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Curly Hair Female - Student(Holly)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Curly Hair Female - Student(Holly)]", "affective_state": {"object": "[Middle-aged Male - Professor(Keith)]", "coarse_category": ["Surprise", "Embarrassment"], "fine_description": "A mix of shock at the sudden personal question and awkwardness arising from the misunderstanding.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Breaks into a broad laugh, then a wry half-smile with eyes glancing up and aside.", "body_language": "Stands facing him, head tilting slightly as she laughs.", "vocal_cues": "Emits an awkward laugh (tone), tone becomes unnatural, speech speed slows down.", "verbal_content": "I wish."}}} {"unique_id": "-6psl4EOhb4_T1_1_2", "video_id": "-6psl4EOhb4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Light Blue Suit Male - Student(Daniel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Blue Suit Male - Student(Daniel)]. At the outdoor wooden construction site, when the mentor invites the student to practice hammering nails, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Blue Suit Male - Student(Daniel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Blue Suit Male - Student(Daniel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Blue Suit Male - Student(Daniel)]", "affective_state": {"object": "[Grey Bearded Male - Mentor(Miyagi)]", "coarse_category": ["Frustration"], "fine_description": "Frustration and agitation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, avoiding eye contact, lips tight, facial muscles tense, impatient expression.", "body_language": "Backing away, shrugging, waving hands to show resistance, stiff movements.", "vocal_cues": "Rushed tone with obvious cracking voice and helplessness, unstable speech rate.", "verbal_content": "I can't... because my whole life is going out of focus, that's why!"}}} {"unique_id": "-6psl4EOhb4_T1_2_1", "video_id": "-6psl4EOhb4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Light Blue Suit Male - Student(Daniel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Blue Suit Male - Student(Daniel)]. At the outdoor wooden construction site, after the mentor guides him through a breathing exercise to regain focus and the student attempts to hammer a nail again, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Blue Suit Male - Student(Daniel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Blue Suit Male - Student(Daniel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Blue Suit Male - Student(Daniel)]", "affective_state": {"object": "[Grey Bearded Male - Mentor(Miyagi)]", "coarse_category": ["Relief", "Happiness"], "fine_description": "A sudden sense of relief mixed with the joy of achievement", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes gradually focus, brows relax, revealing a surprised smile.", "body_language": "Body tension disappears, movements become fluid, turns excitedly to look at the mentor.", "vocal_cues": "Tone rises and is full of lightness.", "verbal_content": "Hey, I did it!"}}} {"unique_id": "-6psl4EOhb4_T1_3_0", "video_id": "-6psl4EOhb4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Grey Bearded Male - Mentor(Miyagi)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Bearded Male - Mentor(Miyagi)]. When he observes the student's success in hammering the nail, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Bearded Male - Mentor(Miyagi)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Bearded Male - Mentor(Miyagi)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Bearded Male - Mentor(Miyagi)]", "affective_state": {"object": "[Light Blue Suit Male - Student(Daniel)]", "coarse_category": ["Happiness"], "fine_description": "A warm sense of pride and satisfaction in the student's progress", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth slightly raised, eyes warm, wearing a smile of approval.", "body_language": "Stands relaxed beside the student, presses palms together, then walks off toward the house.", "vocal_cues": "Tone is peaceful, carrying encouragement and affirmation.", "verbal_content": "Focused on yourself. Remember, breathe in, breathe out."}}} {"unique_id": "-RuK7XKbefY_T1_1_1", "video_id": "-RuK7XKbefY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Prisoner(Miranda)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Prisoner(Miranda)]. When the Sheriff interrogates the Prisoner about her motive while she sits surrounded by officials, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Prisoner(Miranda)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Prisoner(Miranda)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Prisoner(Miranda)]", "affective_state": {"object": "[Bald Male - Sheriff(Ryan)]", "coarse_category": ["Fear"], "fine_description": "A state of high anxiety and helplessness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes dodging, lips trembling, facial muscles tense.", "body_language": "Leaning back, hands clasped tight, appearing obviously nervous.", "vocal_cues": "Voice low and trembling, slow speech rate.", "verbal_content": "I don't have any answers to the questions."}}} {"unique_id": "-RuK7XKbefY_T1_2_0", "video_id": "-RuK7XKbefY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long-haired Female - Prisoner(Miranda)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Prisoner(Miranda)]. In the interrogation room, when she reacts to crime scene photographs and stands up to display carved wounds on her arm, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Prisoner(Miranda)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Prisoner(Miranda)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Prisoner(Miranda)]", "affective_state": {"object": "[Bald Male - Sheriff(Ryan)]", "coarse_category": ["Fear", "Sadness"], "fine_description": "A mix of traumatic grief and terrified desperation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes empty, tears glistening, facial muscles distorted by pain.", "body_language": "Suddenly standing up, raising arm high to show scars, leaning body forward to emphasize evidence.", "vocal_cues": "Voice hoarse, crying tone, rapid speech.", "verbal_content": "why are you doing this to me why are you doing this to me why you doing to me"}}} {"unique_id": "-YaPh7shnWQ_T1_1_1", "video_id": "-YaPh7shnWQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Reddish Brown Female - Wife(Sharon)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Reddish Brown Female - Wife(Sharon)]. When the wife confronts the husband at home regarding his interaction with another woman at a company party, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Reddish Brown Female - Wife(Sharon)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Reddish Brown Female - Wife(Sharon)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Reddish Brown Female - Wife(Sharon)]", "affective_state": {"object": "[Bald Male - Husband(Derek)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A profound sense of heartbreak and disappointment fueling intense, righteous anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Tense face, wide eyes, teary-eyed, biting lip, agitated expression", "body_language": "Leaning forward, turning away in despair, intense gestures, repetitive emphasis", "vocal_cues": "Fast pace, high volume, trembling and interrogative tone", "verbal_content": "I saw you. I saw how you played your games... You lied. We made a vow... I specifically asked you, did anything happen at that party? And what did you tell me? You said no."}}} {"unique_id": "-YaPh7shnWQ_T1_2_0", "video_id": "-YaPh7shnWQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bald Male - Husband(Derek)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Husband(Derek)]. When the wife confronts the husband at home, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Husband(Derek)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Husband(Derek)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Husband(Derek)]", "affective_state": {"object": "[Curly Reddish Brown Female - Wife(Sharon)]", "coarse_category": ["Fear", "Guilt"], "fine_description": "Anxiety about losing his wife mixed with guilt over the distress caused.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, avoiding eye contact, pained expression while trying to remain calm", "body_language": "Stepping back, hand on forehead, attempting to approach but being rejected", "vocal_cues": "Slow pace, lower volume, pleading and defensive tone, trembling voice", "verbal_content": "God, Sharon, it is not like that. This woman is sick, okay? Nothing happened between... I told you the truth. Sharon, please."}}} {"unique_id": "-dvI6g1s1oY_T1_1_0", "video_id": "-dvI6g1s1oY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Male - Bartender]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Male - Bartender]. At the bar counter, when a customer lectures him about manners and demands a smile after leaving a tip, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Male - Bartender]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Male - Bartender]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Male - Bartender]", "affective_state": {"object": "[Dark Hoodie - Customer]", "coarse_category": ["Anger", "Surprise"], "fine_description": "A surge of disbelief and aggressive annoyance.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Rolling eyes, furrowed brows, staring at the customer", "body_language": "Shaking head repeatedly in disbelief, leaning forward with hands on the counter", "vocal_cues": "Explosive, dissatisfied tone", "verbal_content": "Who the hell are you, man?"}}} {"unique_id": "-qHQOhi29v4_T1_1_0", "video_id": "-qHQOhi29v4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red T-shirt Male - Customer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red T-shirt Male - Customer]. In the shoe retail store, when the companion in the beige shirt declares he will take shoes without paying, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red T-shirt Male - Customer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red T-shirt Male - Customer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red T-shirt Male - Customer]", "affective_state": {"object": "[Beige Shirt Male - Customer]", "coarse_category": ["Surprise", "Fear"], "fine_description": "A mix of initial amusement shifting quickly to disbelief, confusion, and mild anxiety.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile fades into a serious look; blinking rapidly in confusion.", "vocal_cues": "Quiet, incredulous tone.", "verbal_content": "Wait what? What are you talking about?"}}} {"unique_id": "-qHQOhi29v4_T1_2_1", "video_id": "-qHQOhi29v4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Polo Male - Employee]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Polo Male - Employee]. In the shoe retail store, when a customer openly declares intent to steal shoes, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Polo Male - Employee]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Polo Male - Employee]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Polo Male - Employee]", "affective_state": {"object": "[Beige Shirt Male - Customer]", "coarse_category": ["Surprise", "Fear"], "fine_description": "Shock and professional anxiety.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Stiff smile, eyes darting nervously.", "body_language": "Turns body towards the customer, attempting to engage.", "vocal_cues": "Tone remains steady but hesitant.", "verbal_content": "Uh hello sir, uh can you find anything today... sir those shoes, can I get you a different size or?"}}} {"unique_id": "-r1qCIwXcB0_T1_1_0", "video_id": "-r1qCIwXcB0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Burgundy Suit - Patient(Paul)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Burgundy Suit - Patient(Paul)]. In the hospital consulting room, when the doctor informs him that his test results are normal and diagnoses him with an anxiety attack, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Burgundy Suit - Patient(Paul)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Burgundy Suit - Patient(Paul)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Burgundy Suit - Patient(Paul)]", "affective_state": {"object": "[White Coat - Doctor(Ben)]", "coarse_category": ["Anger"], "fine_description": "A surge of incredulous anger and defensive hostility.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning", "body_language": "Leaning head forward to question, gradually stepping closer to the doctor in a threatening manner", "vocal_cues": "Raised pitch, increased tempo, questioning and scolding tone", "verbal_content": "An anxiety attack? What are you talking about? I got a [expletive] heart attack!"}}} {"unique_id": "-tm-wF3rLms_T1_1_0", "video_id": "-tm-wF3rLms", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Orange Striped Top Female - Student(Allie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Orange Striped Top Female - Student(Allie)]. When Eddie approaches and offers her a ride after she fails to reach Jake on the payphone, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Orange Striped Top Female - Student(Allie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Orange Striped Top Female - Student(Allie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Orange Striped Top Female - Student(Allie)]", "affective_state": {"object": "[Purple Spliced Top Male - Student(Eddie)]", "coarse_category": ["Frustration"], "fine_description": "A feeling of reluctance and annoyance.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Smiles sarcastically, then rolls her eyes and looks away.", "body_language": "Arms crossed over chest.", "vocal_cues": "Cold, reluctant tone", "verbal_content": "You're loving this, aren't you? Okay, let's go."}}} {"unique_id": "-y6RPL5v1bU_T1_1_1", "video_id": "-y6RPL5v1bU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Male - Surgeon(Aaron)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Male - Surgeon(Aaron)]. In a hospital scrub room, when the writer tries to enforce professional boundaries, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Male - Surgeon(Aaron)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Male - Surgeon(Aaron)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Male - Surgeon(Aaron)]", "affective_state": {"object": "[Blonde Female - Writer(Amy)]", "coarse_category": ["Sadness"], "fine_description": "A mix of mild disappointment and puzzlement.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Eyebrows slightly furrowed, gaze shifts from expectation to confusion, corners of mouth turn down.", "body_language": "Arms crossed over chest, head tilted slightly, waiting for an explanation."}}} {"unique_id": "-y6RPL5v1bU_T1_2_0", "video_id": "-y6RPL5v1bU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Writer(Amy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Writer(Amy)]. In a hospital scrub room, when the surgeon attempts to initiate a romantic relationship with the writer, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Writer(Amy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Writer(Amy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Writer(Amy)]", "affective_state": {"object": "[Young Male - Surgeon(Aaron)]", "coarse_category": ["Frustration"], "fine_description": "Confusion mixed with a sense of being misunderstood.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Squinting eyes while looking at him.", "body_language": "Shaking head slightly multiple times while speaking.", "vocal_cues": "Tone is anxious and puzzled, slightly stuttering.", "verbal_content": "No, I'm saying I'm confused. Am I not communicating this right? Like, I'm..."}}} {"unique_id": "-zxyN9-P9_c_T1_1_1", "video_id": "-zxyN9-P9_c", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Visitor(Laine)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Visitor(Laine)]. In the mental hospital lobby, when she visits Paulina to report that following the instructions resulted in another death, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Visitor(Laine)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Visitor(Laine)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Visitor(Laine)]", "affective_state": {"object": "[Blonde Middle-aged Female - Patient(Paulina)]", "coarse_category": ["Fear"], "fine_description": "Urgent distress and rising panic.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, eyebrows raised, revealing horror.", "body_language": "Leaning forward, bending down; partly to reach the wheelchair user, partly showing urgency.", "vocal_cues": "Tense, hurried voice.", "verbal_content": "I did everything you said we found the body I cut the stitches she sent mother away but it didn't work Why didn't it work mother must have come back because my friend Pete another friend is dead"}}} {"unique_id": "-zxyN9-P9_c_T1_2_0", "video_id": "-zxyN9-P9_c", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Middle-aged Female - Patient(Paulina)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Middle-aged Female - Patient(Paulina)]. In the mental hospital lobby, when Laine confesses that she performed the ritual exactly as instructed but it failed to stop the killings, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Middle-aged Female - Patient(Paulina)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Middle-aged Female - Patient(Paulina)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Middle-aged Female - Patient(Paulina)]", "affective_state": {"object": "[Long-haired Female - Visitor(Laine)]", "coarse_category": ["Happiness"], "fine_description": "A sense of twisted triumph and relief.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling, eyes full of hope.", "body_language": "Body relaxes.", "vocal_cues": "Very quiet, speaking with relief.", "verbal_content": "she's free"}}} {"unique_id": "0-HM2VCdrC0_T1_1_0", "video_id": "0-HM2VCdrC0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Protagonist(Jane)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Protagonist(Jane)]. On the city street at night, when she is confronted by Kevin, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Protagonist(Jane)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Protagonist(Jane)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Protagonist(Jane)]", "affective_state": {"object": "[Dark-haired Male - Reporter(Kevin)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "A mix of fierce anger and disgust at his perceived lack of integrity.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, tight lips, tense facial muscles.", "body_language": "Arms open, leaning forward, intense gestures.", "vocal_cues": "Fast pace, high volume, questioning and accusatory tone.", "verbal_content": "You used me to get ahead in your career. Be a man and admit it. Or don't. But please, please don't pretend that you give a shit."}}} {"unique_id": "0-HM2VCdrC0_T1_2_1", "video_id": "0-HM2VCdrC0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark-haired Male - Reporter(Kevin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-haired Male - Reporter(Kevin)]. Outside the restaurant, after Jane confronts him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-haired Male - Reporter(Kevin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-haired Male - Reporter(Kevin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-haired Male - Reporter(Kevin)]", "affective_state": {"object": "[Blonde Female - Protagonist(Jane)]", "coarse_category": ["Guilt"], "fine_description": "Deep guilt combined with a sincere desire to make amends.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Focused and gentle gaze, dropping previous awkwardness, expression becomes open and sincere.", "body_language": "Leaning slightly forward, hands open, trying to soothe.", "vocal_cues": "Slowed pace, lowered volume, pleading and sorrowful tone.", "verbal_content": "I knew this was going to be hard for you. And for the first time in a really long time, I wanted to be there for somebody. All right, I messed up. I did."}}} {"unique_id": "066YXuaIivk_T1_1_0", "video_id": "066YXuaIivk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Blonde Male - Contractor(Brian)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Blonde Male - Contractor(Brian)]. During a casual dinner in the living room, while the client explains her decor choices citing her mother's preferences, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Blonde Male - Contractor(Brian)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Blonde Male - Contractor(Brian)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Blonde Male - Contractor(Brian)]", "affective_state": {"object": "[Black Female - Client(Kenya)]", "coarse_category": ["Happiness"], "fine_description": "A mix of amusement and flirtatious curiosity.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "A faint, subtle smile plays on his lips; his gaze is deep and locked onto her; he leans forward, displaying strong engagement and inquisitiveness.", "body_language": "Reclines on the floor in a posture that is relaxed yet charged with energy, swirling the wine glass in his hand.", "vocal_cues": "Slow and deep tempo, with a distinct teasing and questioning tone.", "verbal_content": "I don't think you take the time to know who you are. You're always working."}}} {"unique_id": "0IhnEshQ6dY_T1_1_0", "video_id": "0IhnEshQ6dY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black-haired Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black-haired Female - Mother]. In the family living room, when the daughter continues the affection with her boyfriend, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black-haired Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black-haired Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black-haired Female - Mother]", "affective_state": {"object": "[Curly-haired Female - Daughter]", "coarse_category": ["Anger"], "fine_description": "A feeling of heightened anger and indignation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widened, nostrils flared", "body_language": "Arms crossed over chest, leaning body forward", "vocal_cues": "Deliberately raised pitch, increased volume, scolding tone", "verbal_content": "Goodnight, Gregory!"}}} {"unique_id": "0SaGouSCvO0_T1_1_1", "video_id": "0SaGouSCvO0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male with Glasses - Employee(Barrett)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male with Glasses - Employee(Barrett)]. During a business lunch, when Mel and Mia inform Barrett that he is being terminated, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male with Glasses - Employee(Barrett)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male with Glasses - Employee(Barrett)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male with Glasses - Employee(Barrett)]", "affective_state": {"object": "[Blonde Female - Boss(Mel)]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A volatile mix of disbelief, deep betrayal, and explosive dramatic anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide, mouth slightly open, hands on forehead, expression of shock.", "body_language": "Leans body forward intensely, waves arms to point at them, then slams the table and stands up in anger.", "vocal_cues": "(tone) Fast pace, rising pitch, trembling and urgent.", "verbal_content": "What? ... You know what? I knew this was gonna happen. The both of you... But you, Mel, you want to fire me and you make Mia do it? Shame on your house."}}} {"unique_id": "0SaGouSCvO0_T1_2_0", "video_id": "0SaGouSCvO0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Boss(Mel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Boss(Mel)]. When she attempts to initiate the conversation with Barrett, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Boss(Mel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Boss(Mel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Boss(Mel)]", "affective_state": {"object": "[Black Male with Glasses - Employee(Barrett)]", "coarse_category": ["Guilt"], "fine_description": "Overwhelming guilt and awkwardness leading to hesitation and avoidance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Averting gaze, looking down, biting lip frequently, conflicted expression, stiff smile.", "body_language": "Slight shoulder shrug, nervous hand movements.", "vocal_cues": "Hesitant tone, stammering, voice slightly trembling.", "verbal_content": "I just... I wanted to... what I wanted to say was I love your suit."}}} {"unique_id": "0USGkmweHJM_T1_1_0", "video_id": "0USGkmweHJM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Uniform Female - Agent]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Uniform Female - Agent]. At the airport check-in counter, when the Traveler agrees to pay the high upgrade cost after expressing shock, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Uniform Female - Agent]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Uniform Female - Agent]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Uniform Female - Agent]", "affective_state": {"object": "[Dark Blue Jacket Male - Traveler(Brad)]", "coarse_category": ["Surprise"], "fine_description": "A moment of mild astonishment.", "polarity": "Neutral", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Eyebrows raise slightly, maintaining a professional smile, eyes show a hint of surprise.", "body_language": "Leans forward slightly, moves hands fluidly to process the card.", "vocal_cues": "Tone is steady and professional, with a subtle underlying note of surprise."}}} {"unique_id": "0aKB_Qm-z6g_T1_1_1", "video_id": "0aKB_Qm-z6g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Balding Male - Doctor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Balding Male - Doctor]. When the doctor retrieves a pamphlet for the patient and knocks books onto the floor, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Balding Male - Doctor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Balding Male - Doctor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Balding Male - Doctor]", "affective_state": {"object": "[Bearded Male - Patient(Sonny)]", "coarse_category": ["Happiness", "Relief"], "fine_description": "Feeling extremely excited and happy.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide, happy smile", "body_language": "Nods vigorously", "vocal_cues": "Excited tone", "verbal_content": "It's a good decision Sonny."}}} {"unique_id": "0aKB_Qm-z6g_T1_2_0", "video_id": "0aKB_Qm-z6g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Balding Male - Doctor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Balding Male - Doctor]. In the Doctor's office, when the Doctor tries to persuade the Patient to attend death therapy sessions and hands him a pamphlet, based on the subject's observed vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Balding Male - Doctor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Balding Male - Doctor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Balding Male - Doctor]", "affective_state": {"object": "[Bearded Male - Patient(Sonny)]", "coarse_category": ["Happiness", "Relief"], "fine_description": "Feeling happy and lighthearted.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"vocal_cues": "Relaxed and pleasant tone", "verbal_content": "Singing and whistling: 'You are my sunshine...'"}}} {"unique_id": "0ekAvNp_F9c_T1_1_0", "video_id": "0ekAvNp_F9c", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Light Shirt Male - Lawyer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Shirt Male - Lawyer]. During the negotiation, when the Observer asks about a man who committed suicide, based on the subject's observed body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Shirt Male - Lawyer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Shirt Male - Lawyer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Shirt Male - Lawyer]", "affective_state": {"object": "[Past Client - Raymond Ramos]", "coarse_category": ["Guilt"], "fine_description": "Feelings of intense guilt, self-loathing, and defensive anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"body_language": "Touches his brow and paces around the room while speaking.", "vocal_cues": "Starts hesitantly, then the speech rate accelerates with a tone of self-reproach and anger directed at himself.", "verbal_content": "that guy that guy was Tom Harper okay and my client Raymond Ramos killed his wife and his son and you tell you the worst part of all of it I knew he did it I knew he was guilty I knew he was guilty since the first day I met him you know why he confessed to me but hey you know what I was interested in I wanted to win I wanted the money you know why cuz I'm a goddamn winner that's why I'm here right now I win and you know what I might as well sold my soul that day too cuz that guy might be alive right"}}} {"unique_id": "0fbR1RvOCQA_T1_1_0", "video_id": "0fbR1RvOCQA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit Male - Partner(Ray)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Partner(Ray)]. In the apartment kitchen, when Claire reveals the underwear is actually hers, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Partner(Ray)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Partner(Ray)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Partner(Ray)]", "affective_state": {"object": "[Long Curly Hair Female - Partner(Claire)]", "coarse_category": ["Relief"], "fine_description": "A complex mix of intense relief at evading the crisis and frustration at being subjected to a loyalty test.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"body_language": "Shakes head repeatedly while looking at her, covers mouth with hand, turns away to exhale a long breath.", "vocal_cues": "(Questioning tone)", "verbal_content": "You're gaming me."}}} {"unique_id": "0wsKxLyYU7E_T1_1_0", "video_id": "0wsKxLyYU7E", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Patterned Hoodie Male - Tenant(Jesse)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Patterned Hoodie Male - Tenant(Jesse)]. In the apartment hallway, when the landlord refuses to rent the apartment to him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Patterned Hoodie Male - Tenant(Jesse)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Patterned Hoodie Male - Tenant(Jesse)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Patterned Hoodie Male - Tenant(Jesse)]", "affective_state": {"object": "[Black Hair Female - Landlord(Jane)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A mix of frustration, urgency, and helplessness (Grievance).", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes moistening", "body_language": "Sighing, lowering head", "vocal_cues": "Fast tempo, rising pitch, pleading and urgent tone", "verbal_content": "Dude, I got nowhere else to go. This is it. And I got no game, all right? I just need a chance."}}} {"unique_id": "0xHe1zkABYo_T1_1_0", "video_id": "0xHe1zkABYo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Beige Trench Coat Male - Lieutenant(Bullitt)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Beige Trench Coat Male - Lieutenant(Bullitt)]. When the politician attempts to persuade him to hand over the witness, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Beige Trench Coat Male - Lieutenant(Bullitt)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Beige Trench Coat Male - Lieutenant(Bullitt)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Beige Trench Coat Male - Lieutenant(Bullitt)]", "affective_state": {"object": "[Light Suit Male - Politician(Chalmers)]", "coarse_category": ["Disgust", "Anger"], "fine_description": "A profound sense of contempt for the politician's lack of ethics, mixed with anger at the audacity of the proposal.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, pursed lips, tensed facial muscles", "body_language": "Leaning forward slightly, firm posture, standing ground without retreating", "vocal_cues": "Low, firm voice with a warning tone", "verbal_content": "Bullshit, get the hell out now"}}} {"unique_id": "0yYUlLFlw1I_T1_1_1", "video_id": "0yYUlLFlw1I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Curly Female - Bride(Emily)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Curly Female - Bride(Emily)]. In the bridal preparation room, moments before the wedding, when she verbally catalogs the Groom's behaviors, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Curly Female - Bride(Emily)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Curly Female - Bride(Emily)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Curly Female - Bride(Emily)]", "affective_state": {"object": "[Dark Suit Male - Groom(Howard)]", "coarse_category": ["Sadness"], "fine_description": "Overwhelming heartbreak mixed with hysterical despair and betrayal.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Face twisted in pain, brows furrowed tightly.", "body_language": "Pacing ceaselessly, hands on hips, leaning forward, shaking head repeatedly, grabbing hair; movements are intense and uncontrolled.", "vocal_cues": "Voice trembling, crying, incoherent, rapid speech filled with accusation.", "verbal_content": "any other time you might have told me this I'm wearing a wedding dress which you picked out I I I highlighted my hair because you said I needed Shimmer I I loved you and and believed you and and pretended not to notice the Strand thing I thought thought you're just creative I thought you're just smarter than me and more sensitive and more interesting I I thought you were the most wonderful man who ever lived I I thought you could just change my life and and show me the whole world and teach me about art and life and and magic and I thought you could make me feel like a beautiful woman instead of the girl nobody wanted oh no"}}} {"unique_id": "0yYUlLFlw1I_T1_2_0", "video_id": "0yYUlLFlw1I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Suit Male - Groom(Howard)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Suit Male - Groom(Howard)]. In the bridal preparation room, when the Bride confronts him with a list of evidence, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Suit Male - Groom(Howard)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Suit Male - Groom(Howard)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Suit Male - Groom(Howard)]", "affective_state": {"object": "[Blonde Curly Female - Bride(Emily)]", "coarse_category": ["Fear"], "fine_description": "Paralyzing fear combined with deep shame and guilt.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide with panic, eyebrows raised, mouth tight, facial muscles stiff.", "body_language": "Fidgeting while seated, hands clasped tight, leaning back, trying to avoid direct eye contact.", "vocal_cues": "Voice weak, trembling.", "verbal_content": "Emily but but Emily"}}} {"unique_id": "1Fxq_n8e1qA_T1_1_0", "video_id": "1Fxq_n8e1qA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Boy - Customer(Charlie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Boy - Customer(Charlie)]. Inside the candy shop, after the boy rushes in and purchases a Wonka chocolate bar, based on the subject's observed facial expressions, body language and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Boy - Customer(Charlie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Boy - Customer(Charlie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Boy - Customer(Charlie)]", "affective_state": {"object": "[Chocolate Bar]", "coarse_category": ["Happiness"], "fine_description": "Pure satisfaction and gustatory pleasure.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes brighten, corners of the mouth turn up slightly while chewing, expression is focused and eager", "body_language": "Hands tremble while tearing the wrapper, stuffing the chocolate into mouth almost voraciously", "vocal_cues": "Muffled chewing sounds"}}} {"unique_id": "1Fxq_n8e1qA_T1_2_1", "video_id": "1Fxq_n8e1qA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Boy - Customer(Charlie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Boy - Customer(Charlie)]. After hearing news that the fifth Golden Ticket was a forgery, when the boy unwraps the second chocolate bar he bought and finds the Golden Ticket, based on the subject's observed facial expressions, body language and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Boy - Customer(Charlie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Boy - Customer(Charlie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Boy - Customer(Charlie)]", "affective_state": {"object": "[Golden Ticket]", "coarse_category": ["Happiness", "Surprise"], "fine_description": "Extreme excitement, shock, and joy", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes twinkling, corners of mouth raised in a brilliant smile, cheeks flushed", "body_language": "Hands gripping the ticket tightly, body trembling slightly, holding it up before his face", "vocal_cues": "Rapid and heavy breathing"}}} {"unique_id": "1Gnmq6nB1ws_T1_1_0", "video_id": "1Gnmq6nB1ws", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Bearded Male - Date(Jack)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Bearded Male - Date(Jack)]. When Nancy shares a story about her ex-boyfriend and claims that him deauthorizing her iTunes account was the most unforgivable part of their breakup, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Bearded Male - Date(Jack)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Bearded Male - Date(Jack)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Bearded Male - Date(Jack)]", "affective_state": {"object": "[Brown Long Hair Female - Date(Nancy)]", "coarse_category": ["Happiness"], "fine_description": "Amused delight at how trivial her 'unforgivable' grievance turns out to be.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth opens wide", "body_language": "Body leans back", "vocal_cues": "Exaggerated rising tone of shock, followed by a playful laughing tone", "verbal_content": "What? That is unforgivable."}}} {"unique_id": "1MUi4ZiJUsA_T1_1_1", "video_id": "1MUi4ZiJUsA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Leather Jacket - Owner(Calvin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Leather Jacket - Owner(Calvin)]. In the dimly lit office/garage, when the Loan Shark refuses to accept the original amount and demands double instead, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Leather Jacket - Owner(Calvin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Leather Jacket - Owner(Calvin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Leather Jacket - Owner(Calvin)]", "affective_state": {"object": "[Blue Suit - Loan Shark(Lester)]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A mix of shock, indignation (grievance), and rising panic.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, sharp gaze, tight lips, facial muscles tensed.", "body_language": "Stands upright and still facing Lester, hands clasped in front.", "vocal_cues": "Angry, desperate tone.", "verbal_content": "you only gave me 20 mhm that's double you expect me to pay you double by 7:00 come on Mr Wallace"}}} {"unique_id": "1V0CK_aPOmQ_T1_1_0", "video_id": "1V0CK_aPOmQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Driver]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Driver]. At the outdoor checkpoint, when the Volunteer confiscates the Driver's phone and tosses it into the back seat, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Driver]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Driver]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Driver]", "affective_state": {"object": "[Green Hat Female - Volunteer]", "coarse_category": ["Frustration"], "fine_description": "A surge of irritation and disbelief.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Pursed lips", "vocal_cues": "Quiet voice, raised pitch (tone)", "verbal_content": "Hey, what the f..."}}} {"unique_id": "1Vgfl_nxakM_T1_1_0", "video_id": "1Vgfl_nxakM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Inventor(Joy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Inventor(Joy)]. During the promotional performance in the parking lot, when Joy approaches disguised as an ordinary housewife, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Inventor(Joy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Inventor(Joy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Inventor(Joy)]", "affective_state": {"object": "[Object - Mop]", "coarse_category": ["Neutral"], "fine_description": "A state of internal calculation and focus, completely detached from the enthusiasm she is displaying.", "polarity": "Neutral", "intensity": "None"}, "affective_manifestation": {"body_language": "Leaning forward, actively operating the mop.", "vocal_cues": "(Enthusiastic tone)", "verbal_content": "What's this? Oh? Wow, it really does get all the corners that my sponge mop won't get. All those crannies where my kids spill their juice."}}} {"unique_id": "1hxe3SLIV80_T1_1_0", "video_id": "1hxe3SLIV80", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Redhead Female - Wife(Emily)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Wife(Emily)]. During a private conversation at a school event, when the husband reveals that he has slept with nine different women, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Wife(Emily)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Wife(Emily)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Wife(Emily)]", "affective_state": {"object": "[Middle-aged Male - Husband(Cal)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A cocktail of shock, indignation, and deep sadness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Mouth open, eyes wide, pursing lips, tears welling up", "body_language": "Leaning forward to question him, shaking head slightly in disbelief", "vocal_cues": "(Loud, incredulous tone)", "verbal_content": "Nine? That... Nine. Wow."}}} {"unique_id": "1m8Ac21hxO4_T1_1_1", "video_id": "1m8Ac21hxO4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Queen(Ravenna)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Queen(Ravenna)]. While playing chess with her sister, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Queen(Ravenna)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Queen(Ravenna)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Queen(Ravenna)]", "affective_state": {"object": "[Brown Hair Female - Sister(Freya)]", "coarse_category": ["Disgust"], "fine_description": "Feeling a mix of superiority and cold disdain.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, cold staring eyes, slightly parted mouth.", "body_language": "Leaning forward slightly in an oppressive posture, hand slowly moving a chess piece.", "vocal_cues": "Slow, low-pitched tone with distinct emphatic stress.", "verbal_content": "I'm not being cruel. I simply wish to protect you."}}} {"unique_id": "1m8Ac21hxO4_T1_2_0", "video_id": "1m8Ac21hxO4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Brown Hair Female - Sister(Freya)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Hair Female - Sister(Freya)]. In the smoke-filled nursery, when she rushes in to find the cradle destroyed and sees her lover standing amidst the soldiers, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Hair Female - Sister(Freya)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Hair Female - Sister(Freya)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Hair Female - Sister(Freya)]", "affective_state": {"object": "[Male - Lover]", "coarse_category": ["Sadness", "Anger"], "fine_description": "Overwhelming heartbreak and explosive rage", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide and tearing, face contorted, mouth wide open in a scream.", "body_language": "Body trembling violently, then collapsing to knees.", "vocal_cues": "Suppressed sobbing that erupts into a heart-wrenching scream."}}} {"unique_id": "1spMbeEPF_w_T1_1_0", "video_id": "1spMbeEPF_w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Daughter(Eleanor)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Daughter(Eleanor)]. At the school event, when she discovers that her mother has reformed into a responsible parent for her new step-daughter, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Daughter(Eleanor)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Daughter(Eleanor)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Daughter(Eleanor)]", "affective_state": {"object": "[White Male - Father Figure(Michael)]", "coarse_category": ["Sadness"], "fine_description": "A crushing sense of unworthiness and abandonment", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes flickering, lips trembling, brows furrowed, expression shifting from shock to deep sorrow", "body_language": "Arms crossed over chest, leaning back slightly in a defensive and retreating posture", "vocal_cues": "Voice trembling, slowed tempo, low pitch", "verbal_content": "I just wasn't worth changing for."}}} {"unique_id": "2-9jcZusU7w_T1_1_1", "video_id": "2-9jcZusU7w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Male - Paul Canterbury]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Paul Canterbury]. In the upscale restaurant private room, when a stranger approaches and throws a drink in his face, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Paul Canterbury]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Paul Canterbury]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Paul Canterbury]", "affective_state": {"object": "[Man in Suit - Attacker]", "coarse_category": ["Surprise"], "fine_description": "Surprise turning into defensive anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Facial muscles contract sharply, eyes squeeze shut", "body_language": "Cringes and raises hands in a defensive posture", "vocal_cues": "Tone is angry and firm", "verbal_content": "History will redeem me."}}} {"unique_id": "2-9jcZusU7w_T1_2_0", "video_id": "2-9jcZusU7w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Curly Hair Female - Valerie]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Curly Hair Female - Valerie]. When a stranger suddenly interrupts dinner and throws a drink at Paul, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Curly Hair Female - Valerie]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Curly Hair Female - Valerie]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Curly Hair Female - Valerie]", "affective_state": {"object": "[Blonde Male - Paul Canterbury]", "coarse_category": ["Surprise", "Fear"], "fine_description": "Shock and alarm.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth slightly open, looking back and forth between the attacker and Paul"}}} {"unique_id": "2E0tAyiBCPw_T1_1_0", "video_id": "2E0tAyiBCPw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Beige Suit - David]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Beige Suit - David]. At the outdoor tea table, while confessing to Abdullah about the car accident, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Beige Suit - David]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Beige Suit - David]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Beige Suit - David]", "affective_state": {"object": "[Orange Hoodie - Abdullah]", "coarse_category": ["Sadness", "Guilt"], "fine_description": "Deep guilt and remorse", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, eyes cast down, facial muscles tense, heavy expression", "body_language": "Leaning forward, humble posture, hands slight but restrained", "vocal_cues": "Slow tempo, low pitch", "verbal_content": "It was my fault. Allah, it was my fault."}}} {"unique_id": "2E0tAyiBCPw_T1_2_1", "video_id": "2E0tAyiBCPw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Orange Hoodie - Abdullah]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Orange Hoodie - Abdullah]. When David admits that the death of the subject's son was the result of drunk driving, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Orange Hoodie - Abdullah]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Orange Hoodie - Abdullah]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Orange Hoodie - Abdullah]", "affective_state": {"object": "[Beige Suit - David]", "coarse_category": ["Anger", "Sadness"], "fine_description": "Anger mixed with shock and grievance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frequent blinking, solemn gaze, lips pressed tight, facial expression restrained but revealing suppressed emotion", "body_language": "Bows head in thought, turns head aside"}}} {"unique_id": "2GM1garHqmE_T1_1_0", "video_id": "2GM1garHqmE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Coat Male - Investigator]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Coat Male - Investigator]. On the rooftop, when the suspect accuses him of having her followed and of being behind the break-in of her hotel room, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Coat Male - Investigator]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Coat Male - Investigator]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Coat Male - Investigator]", "affective_state": {"object": "[Glasses Female - Suspect]", "coarse_category": ["Anger", "Disgust"], "fine_description": "A mix of speechlessness, exasperation, and suppressed annoyance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes closed", "body_language": "Slight head shake", "vocal_cues": "Slight sigh indicating helplessness", "verbal_content": "I don't know what you're talking about. What makes you think you're being followed?"}}} {"unique_id": "2L7Z26ZvAxg_T1_1_0", "video_id": "2L7Z26ZvAxg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Golden Outfit Male - King(Henry)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Golden Outfit Male - King(Henry)]. In the castle garden, when Thomas More refuses to endorse the King's interpretation of religious law, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Golden Outfit Male - King(Henry)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Golden Outfit Male - King(Henry)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Golden Outfit Male - King(Henry)]", "affective_state": {"object": "[Black Robe Male - Chancellor(Thomas More)]", "coarse_category": ["Anger", "Anxiety"], "fine_description": "A surge of explosive anger at the resistance mixed with underlying existential anxiety.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, gritted teeth, fierce gaze.", "body_language": "Leans forward aggressively, neck muscles tensed, then turns away and shakes physically.", "vocal_cues": "High-pitched, sharp shouting (tone).", "verbal_content": "Then you haven't thought enough!"}}} {"unique_id": "2T51K4xsBjg_T1_1_1", "video_id": "2T51K4xsBjg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Male - Owner(Lucas)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Male - Owner(Lucas)]. Outside the VA Medical Center, when the officer intercepts him and threatens arrest, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Male - Owner(Lucas)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Male - Owner(Lucas)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Male - Owner(Lucas)]", "affective_state": {"object": "[Glasses Middle-aged Male - Officer(Chuck)]", "coarse_category": ["Fear"], "fine_description": "A state of high anxiety, nervousness, and protective desperation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning brows, tense eyes, slightly parted lips", "body_language": "Body slightly retreating, hands subconsciously protecting the dog", "vocal_cues": "Voice slightly trembling, accelerated speech rate", "verbal_content": "She's my dog sir and she's hurting. I'm taking her to the vet."}}} {"unique_id": "2T51K4xsBjg_T1_2_0", "video_id": "2T51K4xsBjg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Glasses Middle-aged Male - Officer(Chuck)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses Middle-aged Male - Officer(Chuck)]. In the parking lot outside the VA Medical Center, when he is confronted and publicly reprimanded by his superior, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses Middle-aged Male - Officer(Chuck)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses Middle-aged Male - Officer(Chuck)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses Middle-aged Male - Officer(Chuck)]", "affective_state": {"object": "[Young Male - Owner(Lucas)]", "coarse_category": ["Anger", "Embarrassment"], "fine_description": "A mix of seething anger and deep embarrassment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Lips pressed tight, sullen frown, eyes on the captain, awkward chastened look", "body_language": "Body tense, stands stiffly facing the captain, catch pole held at his side", "vocal_cues": "Voice suppressed and low, with obvious tremors of anger"}}} {"unique_id": "2UOL-ZHUOC4_T1_1_0", "video_id": "2UOL-ZHUOC4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit Male - History Teacher(Jim Norman)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - History Teacher(Jim Norman)]. In the high school history classroom, when a student throws an object at the teacher, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - History Teacher(Jim Norman)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - History Teacher(Jim Norman)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - History Teacher(Jim Norman)]", "affective_state": {"object": "[Leather Jacket Male - Student(Richard Lawson)]", "coarse_category": ["Anger"], "fine_description": "Felt an explosive surge of rage and indignation", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Face flushed, eyes wide and staring intensely, jaw clenched, expression twisted in aggression", "body_language": "Leans forward violently, pointing angrily at the students, hands shaking from agitation", "vocal_cues": "Rapid speech, voice raised to a near-scream, cracking with intensity", "verbal_content": "Throw it to my face! Come on, somebody throw it! Now!"}}} {"unique_id": "2UOL-ZHUOC4_T1_2_1", "video_id": "2UOL-ZHUOC4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Leather Jacket Male - Student(Richard Lawson)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Leather Jacket Male - Student(Richard Lawson)]. During the class talk about Billy Stearns' death, when the student accuses the teacher of staring at him and verbally challenges him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Leather Jacket Male - Student(Richard Lawson)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Leather Jacket Male - Student(Richard Lawson)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Leather Jacket Male - Student(Richard Lawson)]", "affective_state": {"object": "[Black Suit Male - History Teacher(Jim Norman)]", "coarse_category": ["Happiness", "Disgust"], "fine_description": "Felt smug satisfaction and contempt", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth raised in a smirk, eyes narrowing with disdain, eyebrows slightly raised", "body_language": "Leans back in chair, hands spread open, posture relaxed and challenging", "vocal_cues": "Tone is flippant and sarcastic", "verbal_content": "Why do you keep staring at me, Mr. Norman? Oh yes you were, Mr. Norman. You were looking right at me."}}} {"unique_id": "2YbvpD3WQnk_T1_1_0", "video_id": "2YbvpD3WQnk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown-haired Young Female - Daughter(Daphne)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown-haired Young Female - Daughter(Daphne)]. At the outdoor wedding venue, when she speaks to her mother, based on the subject's observed body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown-haired Young Female - Daughter(Daphne)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown-haired Young Female - Daughter(Daphne)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown-haired Young Female - Daughter(Daphne)]", "affective_state": {"object": "[Blonde Middle-aged Female - Mother(Libby)]", "coarse_category": ["Frustration"], "fine_description": "A mix of exasperation and deep emotional aching.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Slams the tray heavily onto the table; leans body forward to question her mother", "vocal_cues": "Trembling voice, slow tempo, choking up", "verbal_content": "I just I can't help but think that I'm never going to get to do that... I feel like half of me is missing..."}}} {"unique_id": "2aqgKA3uUwM_T1_1_0", "video_id": "2aqgKA3uUwM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Brunette Female - Patient Family(Mia)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Brunette Female - Patient Family(Mia)]. When she observes the argument with hospital staff and notices [Short-haired Blonde Female - Friend(Willow)] standing apart, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Brunette Female - Patient Family(Mia)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Brunette Female - Patient Family(Mia)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Brunette Female - Patient Family(Mia)]", "affective_state": {"object": "[Brother(Teddy)]", "coarse_category": ["Fear", "Surprise"], "fine_description": "She feels a sudden shock followed by escalating dread and panic regarding her brother's fate.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, terrified gaze", "body_language": "Backs away a few steps, then runs towards the hospital room", "vocal_cues": "Trembling voice, accelerated tempo, urgent tone", "verbal_content": "What's happening? Why aren't you with Teddy?"}}} {"unique_id": "2hs-yt-Pmk0_T1_1_0", "video_id": "2hs-yt-Pmk0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray-haired Male - Husband(Troy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray-haired Male - Husband(Troy)]. In the outdoor yard, when [Headscarf Female - Wife(Rose)] delivers a monologue challenging his narrative, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray-haired Male - Husband(Troy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray-haired Male - Husband(Troy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray-haired Male - Husband(Troy)]", "affective_state": {"object": "[Headscarf Female - Wife(Rose)]", "coarse_category": ["Guilt"], "fine_description": "A heavy sense of guilt and remorse mixed with being overwhelmed by the truth of her words.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frequent blinking, tensed lips pursed then slightly parting, eyes severely glassy with tears.", "body_language": "Slightly looking up."}}} {"unique_id": "2w1dezz5m9s_T1_1_2", "video_id": "2w1dezz5m9s", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Female - Whitney Houston]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Female - Whitney Houston]. Inside the moving car, when Bobby presents a ring and proposes marriage, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Female - Whitney Houston]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Female - Whitney Houston]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Female - Whitney Houston]", "affective_state": {"object": "[Short Male - Bobby Brown]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "She feels a sudden shock followed by overwhelming ecstasy", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, mouth agape, transitioning into a broad smile", "body_language": "Excitedly hugging him, shaking physically, repeatedly checking the ring on her finger", "vocal_cues": "Extremely high pitch, screaming, laughter, short and punchy tone", "verbal_content": "Oh my god... Yeah! Yeah! Yeah!"}}} {"unique_id": "2w1dezz5m9s_T1_2_0", "video_id": "2w1dezz5m9s", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Short Male - Bobby Brown]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Male - Bobby Brown]. Inside a moving car at night, when Bobby initiates a conversation to confess that his ex-girlfriend is pregnant, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Male - Bobby Brown]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Male - Bobby Brown]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Male - Bobby Brown]", "affective_state": {"object": "[Curly Female - Whitney Houston]", "coarse_category": ["Fear", "Guilt"], "fine_description": "He feels deep guilt and anxiety about the confession.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Averting gaze, unable to make eye contact, tense and awkward expression, downturned mouth", "body_language": "Posture appears shrinking/cowering, hand movements are fidgety", "vocal_cues": "Slowed speech rate, low and heavy tone", "verbal_content": "Kim is pregnant. ... Honestly all the way."}}} {"unique_id": "2w1dezz5m9s_T1_3_1", "video_id": "2w1dezz5m9s", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Curly Female - Whitney Houston]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Female - Whitney Houston]. Outdoors near a bridge at night, after [Short Male - Bobby Brown] tells her about his ex-girlfriend's pregnancy, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Female - Whitney Houston]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Female - Whitney Houston]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Female - Whitney Houston]", "affective_state": {"object": "[Short Male - Bobby Brown]", "coarse_category": ["Anger"], "fine_description": "Feeling explosive anger", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Raised eyebrows, eyes full of rage, and tense facial muscles", "body_language": "Pacing rapidly, waving arms violently, and maintaining an aggressive body posture", "vocal_cues": "Extremely high volume, very fast speech rate, roaring, and shouting", "verbal_content": "Bullshit! Bullshit! ... wait 'til I say yes and tell me your goddamn ex-girlfriend is goddamn pregnant!"}}} {"unique_id": "2xcWYu18a-w_T1_1_0", "video_id": "2xcWYu18a-w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Shirt Black Vest Male - Office Worker(Chandler)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Black Vest Male - Office Worker(Chandler)]. In the office break area, when the colleague refers to the potential date as a \"he\", based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Black Vest Male - Office Worker(Chandler)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Black Vest Male - Office Worker(Chandler)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Black Vest Male - Office Worker(Chandler)]", "affective_state": {"object": "[Red Floral Shirt Female - Colleague(Shelly)]", "coarse_category": ["Surprise"], "fine_description": "A mix of sudden shock and bewildered confusion.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, widened eyes, downturned mouth corners", "body_language": "Leaning back", "vocal_cues": "Accelerated tempo, elevated pitch (tone)", "verbal_content": "He's a \"he\"?"}}} {"unique_id": "3MhzaQnLhRY_T1_1_0", "video_id": "3MhzaQnLhRY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Brown Curly Hair Female - Becca]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Brown Curly Hair Female - Becca]. In the luxury hotel lobby, when DJ Khaled greets her and orders his staff to bring her a chair and a drink, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Brown Curly Hair Female - Becca]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Brown Curly Hair Female - Becca]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Brown Curly Hair Female - Becca]", "affective_state": {"object": "[Black Striped Suit Male - DJ Khaled]", "coarse_category": ["Surprise", "Fear"], "fine_description": "Surprise mixed with nervousness and a sense of being overwhelmed (flattered yet anxious).", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widened, mouth slightly open", "body_language": "Looking around, appearing at a loss, letting him take both her hands, then sitting stiffly holding the drink", "vocal_cues": "(Tone) Confused and nervous tone", "verbal_content": "Oh thank you, so nice... hey... thank you, yeah, thank you."}}} {"unique_id": "3Ovp2n5T1oY_T1_1_0", "video_id": "3Ovp2n5T1oY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark-haired Male - Student(Jim)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-haired Male - Student(Jim)]. When he approaches Michelle while she is alone packing up after band practice near the woods, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-haired Male - Student(Jim)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-haired Male - Student(Jim)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-haired Male - Student(Jim)]", "affective_state": {"object": "[Red-haired Female - Student(Michelle)]", "coarse_category": ["Happiness"], "fine_description": "Excitement mixed with playful anticipation", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling with bright eyes and a relaxed expression", "body_language": "Leans forward with natural gestures, showing enthusiasm", "vocal_cues": "Light, friendly tone in a brief greeting", "verbal_content": "Hey Michelle."}}} {"unique_id": "3Ovp2n5T1oY_T1_2_1", "video_id": "3Ovp2n5T1oY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Red-haired Female - Student(Michelle)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red-haired Female - Student(Michelle)]. When Jim interrupts her story by predicting the ending, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red-haired Female - Student(Michelle)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red-haired Female - Student(Michelle)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red-haired Female - Student(Michelle)]", "affective_state": {"object": "[Dark-haired Male - Student(Jim)]", "coarse_category": ["Happiness"], "fine_description": "Genuine delight and enthusiastic surprise", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes light up, eyebrows raised, wide and excited smile", "body_language": "Stands close facing Jim, head slightly tilted", "vocal_cues": "Rapid, high-pitched tone indicating pleasant surprise", "verbal_content": "Cool! It's like you know all our stories!"}}} {"unique_id": "3QoYCS0iOq4_T1_1_0", "video_id": "3QoYCS0iOq4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Student]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Student]. At the airport terminal, while engaging in conversation with the [Dark-Haired Male - Suitor], based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Student]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Student]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Student]", "affective_state": {"object": "[Dark-Haired Male - Suitor]", "coarse_category": ["Fear", "Guilt"], "fine_description": "Fear of repeating past mistakes mixed with guilt for hurting the suitor", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Sincere expression, frowning", "body_language": "Leaning forward, unconsciously touching hair, and raising hands while speaking", "vocal_cues": "Urgent, nervous, slightly trembling tone", "verbal_content": "I've had such a good time with you and a part of me doesn't want that to end but I have been down this road before with a guy I dropped out of college and I followed him across the country and I dropped everything for him and that's when my timeline is all off you know and and now I finally got everything back on track you know with my life and school and then you had to come along and that all up"}}} {"unique_id": "3luAeDhHinc_T1_1_0", "video_id": "3luAeDhHinc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray Suit Male - Ben]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Suit Male - Ben]. In the hospital ward, when the patient reveals she is being mistreated, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Suit Male - Ben]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Suit Male - Ben]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Suit Male - Ben]", "affective_state": {"object": "[White Haired Female - Patient]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A profound sense of sympathy for the patient's plight mixed with intense, rising anger towards the administrator.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, looking at the woman's notebook with an expression of disbelief and pain.", "body_language": "Hands clasped in fists over his mouth, physically suppressing the urge to cry or shout.", "vocal_cues": "Gentle, calm tone (trying to comfort).", "verbal_content": "Punishing you? How is he punishing you?"}}} {"unique_id": "47mT0jC_aXA_T1_1_0", "video_id": "47mT0jC_aXA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Green Coat Male - Father]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Green Coat Male - Father]. When the son returns home and approaches his parents in the yard, and the subject observes the son's attire, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Green Coat Male - Father]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Green Coat Male - Father]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Green Coat Male - Father]", "affective_state": {"object": "[Curly Hair Male - Son]", "coarse_category": ["Anger", "Disgust"], "fine_description": "A mix of annoyance and disdain.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Curl of the lip, showing contempt.", "body_language": "Gestures towards the son with his palm to signal the mother, throws his leaf scoops aside, and walks away.", "vocal_cues": "Sarcastic tone.", "verbal_content": "\"Look at the coat. Looks like he just got off the boat at Ellis Island.\""}}} {"unique_id": "4CKKd6tjKxQ_T1_1_0", "video_id": "4CKKd6tjKxQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Shirt - Bandmate]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Shirt - Bandmate]. During a discussion about their band's future, when she accidentally reveals that she already knew the manager had quit, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Shirt - Bandmate]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Shirt - Bandmate]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Shirt - Bandmate]", "affective_state": {"object": "[Pink Shirt - Bandmate]", "coarse_category": ["Guilt"], "fine_description": "A mix of guilt for the deception and awkwardness at being caught in the lie.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes evading, slight frown", "body_language": "Turning head slightly", "vocal_cues": "(weak, hesitant)", "verbal_content": "I was gonna..."}}} {"unique_id": "4Gs6pBwn5w8_T1_1_0", "video_id": "4Gs6pBwn5w8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly-haired Male - Protagonist(Will)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly-haired Male - Protagonist(Will)]. When the female agent intercepts him and claims to be an associate of his father, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly-haired Male - Protagonist(Will)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly-haired Male - Protagonist(Will)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly-haired Male - Protagonist(Will)]", "affective_state": {"object": "[Middle-aged Female - Agent(Jean)]", "coarse_category": ["Fear"], "fine_description": "A state of high vigilance and hesitation, torn between the need for help and the fear of betrayal.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning slightly, eyes filled with vigilance.", "body_language": "Pacing back and forth, observing the surroundings."}}} {"unique_id": "4N_HCbAVBJU_T1_1_0", "video_id": "4N_HCbAVBJU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Leather Jacket Male - Father]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Leather Jacket Male - Father]. In a living room with a festive atmosphere, as the parents prepare to leave the house while the daughter talks about potential emergencies, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Leather Jacket Male - Father]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Leather Jacket Male - Father]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Leather Jacket Male - Father]", "affective_state": {"object": "[Partially Visible Teenager - Child]", "coarse_category": ["Anxiety"], "fine_description": "A state of serious responsibility mixed with underlying concern for their well-being.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, serious gaze, lips tight, expression showing slight anxiety.", "body_language": "Leaning forward, holding paper, emphatic gestures, authoritative posture.", "vocal_cues": "Faster pace, slightly higher pitch, tone carrying command and warning.", "verbal_content": "Don't make me regret leaving you guys here while I'm gone. If there's an emergency, call Aunt Sally."}}} {"unique_id": "4N_HCbAVBJU_T1_2_1", "video_id": "4N_HCbAVBJU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Pink Fuzzy Coat Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Pink Fuzzy Coat Female - Mother]. As the parents prepare to leave, when she reminds the grounded children that their punishment still stands, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Pink Fuzzy Coat Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Pink Fuzzy Coat Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Pink Fuzzy Coat Female - Mother]", "affective_state": {"object": "[Partially Visible Teenager - Child]", "coarse_category": ["Frustration"], "fine_description": "Unwavering sternness and a rigid insistence on adherence to the rules.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, tense expression, sharp and scrutinizing gaze.", "body_language": "Arms crossed, rigid and imposing posture, gesturing towards the note on the fridge.", "vocal_cues": "Steady but extremely firm tone, deliberate emphasis on key words.", "verbal_content": "Nothing has changed for you two. Grounded is grounded."}}} {"unique_id": "4OEhuma-rrY_T1_1_0", "video_id": "4OEhuma-rrY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Dark-haired Male in Suit - Lawyer(Jackson)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Dark-haired Male in Suit - Lawyer(Jackson)]. When the gang leader subdues him and pins him to the table, based on the subject's observed facial expression and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Dark-haired Male in Suit - Lawyer(Jackson)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Dark-haired Male in Suit - Lawyer(Jackson)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Dark-haired Male in Suit - Lawyer(Jackson)]", "affective_state": {"object": "[Bald Male - Gang Leader]", "coarse_category": ["Fear"], "fine_description": "Intense fear for his personal safety and vulnerability.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, expression of pain and distress.", "body_language": "Holds forehead while recovering, rises unsteadily from the table, then violently smashes a glass."}}} {"unique_id": "4OEhuma-rrY_T1_2_1", "video_id": "4OEhuma-rrY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Young Dark-haired Male in Suit - Lawyer(Jackson)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Dark-haired Male in Suit - Lawyer(Jackson)]. When the lawyer issues an ultimatum to the gang leader, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Dark-haired Male in Suit - Lawyer(Jackson)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Dark-haired Male in Suit - Lawyer(Jackson)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Dark-haired Male in Suit - Lawyer(Jackson)]", "affective_state": {"object": "[Bald Male - Gang Leader]", "coarse_category": ["Fear"], "fine_description": "Underlying nervousness and apprehension masked by bravado.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Faint smirk, cold and mocking gaze.", "body_language": "Leans forward aggressively, pointing a finger at the opponent.", "vocal_cues": "Tone is low, threatening, and sarcastic.", "verbal_content": "What if I go to the feds and tell them all about your little operation? Can we negotiate then or do you want to negotiate now?"}}} {"unique_id": "4RBnTZELQX8_T1_1_0", "video_id": "4RBnTZELQX8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit - Musician(Dr. Shirley)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit - Musician(Dr. Shirley)]. In the jail cell, when he confronts Tony regarding the assault on the police officer, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit - Musician(Dr. Shirley)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit - Musician(Dr. Shirley)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit - Musician(Dr. Shirley)]", "affective_state": {"object": "[Dark Clothes - Driver(Tony)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A controlled, simmering anger mixed with profound disappointment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, sharp gaze, lips tight, expression serious and restrained.", "body_language": "Back straight leaning against the bars, pointing a finger at the other person.", "vocal_cues": "Tone is low, stern, and powerful; tempo is slow and deliberate.", "verbal_content": "You never win with violence, Tony. You only win when you maintain your dignity. Dignity always prevails. And tonight, because of you, we did not."}}} {"unique_id": "4RBnTZELQX8_T1_2_1", "video_id": "4RBnTZELQX8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Clothes - Driver(Tony)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Clothes - Driver(Tony)]. In the jail cell, when Dr. Shirley delivers a lecture on dignity, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Clothes - Driver(Tony)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Clothes - Driver(Tony)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Clothes - Driver(Tony)]", "affective_state": {"object": "[Black Suit - Musician(Dr. Shirley)]", "coarse_category": ["Guilt"], "fine_description": "Shame mixed with awkwardness and defensiveness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corner of mouth with a stiff, self-mocking smile; eyes shifting, looking down.", "body_language": "Sitting in the corner, fiddling with a cigarette butt on the floor, finally spreading hands.", "vocal_cues": "Tone sounds casual.", "verbal_content": "I wouldn't touch that mattress, Doc."}}} {"unique_id": "4fNc1i7oGfg_T1_1_0", "video_id": "4fNc1i7oGfg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Male - Driver(Joe)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Driver(Joe)]. During the traffic stop, when Joe attempts to charm Vanessa while she confronts him, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Driver(Joe)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Driver(Joe)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Driver(Joe)]", "affective_state": {"object": "[Uniformed Female - Cop(Vanessa)]", "coarse_category": ["Fear", "Guilt"], "fine_description": "Feels a mix of nervousness and intimidation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Broad, eager grin with raised brows, looking up at her; a brief wince at the end of the line.", "vocal_cues": "(Emphatic tone)", "verbal_content": "Vanessa God you look good seriously look at this uniform beautiful"}}} {"unique_id": "4w2u4TaSKOc_T1_1_0", "video_id": "4w2u4TaSKOc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Male - Son(Commodus)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Male - Son(Commodus)]. When he confronts his father and lists the virtues he possesses, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Male - Son(Commodus)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Male - Son(Commodus)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Male - Son(Commodus)]", "affective_state": {"object": "[White Hair Bearded Male - Father(Marcus Aurelius)]", "coarse_category": ["Anger"], "fine_description": "A lethal mix of vindictive rage and deep-seated resentment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Serious, composed expression while listing the virtues; the face crumples into tears and a grimace at the plea for love.", "body_language": "Leans forward, grips the father's shoulders tightly, eventually pressing his forehead against the father.", "vocal_cues": "Measured voice through the list, trembling and choking as he pleads for love.", "verbal_content": "Lists virtues like ambition and resourcefulness, claiming his father never wanted him as a son."}}} {"unique_id": "4w2u4TaSKOc_T1_2_1", "video_id": "4w2u4TaSKOc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Hair Bearded Male - Father(Marcus Aurelius)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Hair Bearded Male - Father(Marcus Aurelius)]. When Marcus Aurelius faces his son's accusations and eventually kneels, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Hair Bearded Male - Father(Marcus Aurelius)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Hair Bearded Male - Father(Marcus Aurelius)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Hair Bearded Male - Father(Marcus Aurelius)]", "affective_state": {"object": "[Curly Hair Male - Son(Commodus)]", "coarse_category": ["Fear", "Guilt"], "fine_description": "Fear for his safety mingled with profound guilt over his failure as a parent.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Tearful eyes, sincere and pleading gaze.", "body_language": "Kneels on the floor before his son.", "vocal_cues": "Weak, trembling voice (sincere tone).", "verbal_content": "Your faults as a son is my failure as a father."}}} {"unique_id": "4zMKv8OVbMY_T1_1_0", "video_id": "4zMKv8OVbMY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Guest(Kim)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Guest(Kim)]. In the dimly lit kitchen/dining area at night, when [Black Male - Son(Travis)] enters the room, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Guest(Kim)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Guest(Kim)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Guest(Kim)]", "affective_state": {"object": "[Black Male - Son(Travis)]", "coarse_category": ["Surprise", "Relief"], "fine_description": "A momentary jolt of shock that rapidly transitions into relief and relaxation upon realizing there is no danger.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Hands cover mouth.", "body_language": "Turns body suddenly, shifting from a head-down position to a defensive posture.", "vocal_cues": "Sudden gasp/frightened sound.", "verbal_content": "Hey. Sorry. You scared me."}}} {"unique_id": "5SaioOXfrpY_T1_1_0", "video_id": "5SaioOXfrpY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Middle-aged Female - Mother(Ma'Dere)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Middle-aged Female - Mother(Ma'Dere)]. During the family gathering, when Sandy arrives and introduces herself as Claude's wife, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Middle-aged Female - Mother(Ma'Dere)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Middle-aged Female - Mother(Ma'Dere)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Middle-aged Female - Mother(Ma'Dere)]", "affective_state": {"object": "[Light Brown Hair Young Female - Daughter-in-law(Sandy)]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A complex blend of shock and indignation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile, hugs Sandy", "body_language": "Opens arms", "vocal_cues": "Gentle tone with a hint of resigned laughter", "verbal_content": "welcome to the family Sandy I'm claude's mother Madea"}}} {"unique_id": "5VPK1NPQGUs_T1_1_1", "video_id": "5VPK1NPQGUs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - New Neighbor(Josie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - New Neighbor(Josie)]. At the residential doorstep, when she stands at the man's door introducing herself and requesting assistance with moving, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - New Neighbor(Josie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - New Neighbor(Josie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - New Neighbor(Josie)]", "affective_state": {"object": "[Bearded Male - Neighbor(Hank)]", "coarse_category": ["Neutral"], "fine_description": "Internally focused and calculating, while projecting outward warmth.", "polarity": "Neutral", "intensity": "None"}, "affective_manifestation": {"facial_expression": "Smiling", "body_language": "Hands on hips, open and natural posture, tilting head to look at the man, swaying slightly, chewing gum.", "vocal_cues": "Lighthearted tone, slightly playful.", "verbal_content": "Well, I'm just moving in here and, um, Romero, I think that's his name, pointed to your door and said 'A big burly strong man lives in there and he'll help you out.' How about it? Lend me a hand?"}}} {"unique_id": "5VPK1NPQGUs_T1_2_0", "video_id": "5VPK1NPQGUs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bearded Male - Neighbor(Hank)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bearded Male - Neighbor(Hank)]. While observing the woman from his doorway, when she suddenly engages him directly, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bearded Male - Neighbor(Hank)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bearded Male - Neighbor(Hank)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bearded Male - Neighbor(Hank)]", "affective_state": {"object": "[Blonde Female - New Neighbor(Josie)]", "coarse_category": ["Surprise"], "fine_description": "A mix of surprise and awkwardness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Closes eyes briefly (wince)", "body_language": "Closes eyes and looks away, pulls head back slightly (recoil)."}}} {"unique_id": "5ZZ12KKJOp8_T1_1_1", "video_id": "5ZZ12KKJOp8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey-haired Middle-aged Male - Father(George)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey-haired Middle-aged Male - Father(George)]. During the family dinner, when the daughter announces that she met a man abroad and they are getting married, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey-haired Middle-aged Male - Father(George)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey-haired Middle-aged Male - Father(George)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey-haired Middle-aged Male - Father(George)]", "affective_state": {"object": "[Curly-haired Young Female - Daughter(Annie)]", "coarse_category": ["Surprise"], "fine_description": "A state of profound shock, disbelief, and being completely overwhelmed.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Lips pressed and pulled down, eyes lowered or closed, brows knitted, then a blank stare.", "body_language": "Sits motionless with head bowed, looking down at the table.", "vocal_cues": "Long silence followed by an extremely weak and dry voice.", "verbal_content": "I'm sorry?"}}} {"unique_id": "5ZZ12KKJOp8_T1_2_0", "video_id": "5ZZ12KKJOp8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Curly-haired Young Female - Daughter(Annie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly-haired Young Female - Daughter(Annie)]. During a family dinner, when she shares the news of her engagement and presents her ring to her parents, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly-haired Young Female - Daughter(Annie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly-haired Young Female - Daughter(Annie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly-haired Young Female - Daughter(Annie)]", "affective_state": {"object": "[Grey-haired Middle-aged Male - Father(George)], [Blonde Middle-aged Female - Mother(Nina)]", "coarse_category": ["Happiness"], "fine_description": "Uncontrollable ecstasy, excitement, and pure happiness.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brilliant smile, bright eyes, corners of mouth raised, cheeks slightly flushed.", "body_language": "Large gestures, leaning forward, then spreading arms wide in a celebratory motion.", "vocal_cues": "Very fast speech rate, voice trembling slightly with excitement, ending in a high-pitched squeal.", "verbal_content": "I'm engaged! I'm getting married! We got a flea market outside of Rome, the guy we bought it from said it was at least a hundred years old."}}} {"unique_id": "5dgeyv_fCO4_T1_1_0", "video_id": "5dgeyv_fCO4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Daughter(Cate)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Daughter(Cate)]. Beside a parked car on a forest road, when the daughter attempts to justify her previous assistance and the father rejects her help, based on the subject's observed facial expressions, body language and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Daughter(Cate)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Daughter(Cate)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Daughter(Cate)]", "affective_state": {"object": "[Short-haired Male - Father(Nick)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A mix of frustration at his stubbornness and deep sadness from the rejection.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed, mouth slightly open while staring at the man.", "body_language": "Lowers head, pulls the car door open.", "vocal_cues": "Audible sobbing sounds."}}} {"unique_id": "5nsdDNmr8-k_T1_1_1", "video_id": "5nsdDNmr8-k", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red-haired Female with Glasses - Teacher]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red-haired Female with Glasses - Teacher]. When the teacher confronts the male teacher and student, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red-haired Female with Glasses - Teacher]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red-haired Female with Glasses - Teacher]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red-haired Female with Glasses - Teacher]", "affective_state": {"object": "[Male in Red Plaid Shirt - Teacher(Jason)], [Female in Brown Patterned Top - Student]", "coarse_category": ["Anger"], "fine_description": "She feels intense anger and indignation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, lips pursed tightly, sharp gaze, facial muscles tensed", "body_language": "Stands upright facing them, raises an open palm in a stop gesture, then turns and walks out", "vocal_cues": "Accelerated speech rate, increased volume, accusatory stress on words", "verbal_content": "I don't I don't believe this l l Jason what a scummy sleazy thing to do and you I expected better from you I'm sorry no it's it's too late this is going on your permanent record no you you can forget about that letter of recommendation you've left me no choice"}}} {"unique_id": "5nsdDNmr8-k_T1_2_0", "video_id": "5nsdDNmr8-k", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Female in Brown Patterned Top - Student]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Female in Brown Patterned Top - Student]. In the office/classroom setting, when the Teacher confronts the group and threatens to mark the Student's permanent record, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Female in Brown Patterned Top - Student]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Female in Brown Patterned Top - Student]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Female in Brown Patterned Top - Student]", "affective_state": {"object": "[Red-haired Female with Glasses - Teacher]", "coarse_category": ["Fear"], "fine_description": "She feels panic and fear.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widened, pupils constricted, corners of mouth turned down, facial muscles tense", "vocal_cues": "Accelerated speech rate, trembling voice, pleading tone", "verbal_content": "what no you can't do that"}}} {"unique_id": "5qKySTAWpiY_T1_1_0", "video_id": "5qKySTAWpiY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Wife(Gerda)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife(Gerda)]. When she returns home, finds her husband fully dressed as a woman, and pleads for him to appear, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife(Gerda)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife(Gerda)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife(Gerda)]", "affective_state": {"object": "[Brown-haired Female - Husband(Lili)]", "coarse_category": ["Sadness"], "fine_description": "Overwhelming desperation and grief", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, trembling lips, pained expression.", "body_language": "Leaning forward, hands clasped tightly, tense posture.", "vocal_cues": "Trembling voice, accelerated speech rate, crying tone.", "verbal_content": "I need to see him. I need my husband. Can you get him? I need to talk to my husband. I need to hold my husband. I need him."}}} {"unique_id": "5qKySTAWpiY_T1_2_1", "video_id": "5qKySTAWpiY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Brown-haired Female - Husband(Lili)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown-haired Female - Husband(Lili)]. When the subject witnesses the wife's emotional breakdown and offers apologies, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown-haired Female - Husband(Lili)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown-haired Female - Husband(Lili)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown-haired Female - Husband(Lili)]", "affective_state": {"object": "[Blonde Female - Wife(Gerda)]", "coarse_category": ["Guilt"], "fine_description": "Deep guilt and helplessness", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Avoiding eye contact, slightly furrowed brows, downturned mouth.", "body_language": "Stands still, head lowered, gaze averted.", "vocal_cues": "Low voice, slow speech rate, soothing tone.", "verbal_content": "I'm sorry. I can't. Let me help. Please."}}} {"unique_id": "5rkVGXHv2Ow_T1_1_0", "video_id": "5rkVGXHv2Ow", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Daughter]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Daughter]. In the living room, when the daughter attempts to justify her failure to refuel the car, based on the subject's observed vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Daughter]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Daughter]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Daughter]", "affective_state": {"object": "[Bespectacled Male - Father]", "coarse_category": ["Fear"], "fine_description": "State of anxious defensiveness", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"vocal_cues": "Slightly fast tempo, trembling tone", "verbal_content": "Dad, as soon as I got in the car, Paige called, okay? And she was sobbing. There's nothing else I could do."}}} {"unique_id": "5t24FQK-HKw_T1_1_0", "video_id": "5t24FQK-HKw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses/Cap Male - Journalist(Fred)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses/Cap Male - Journalist(Fred)]. At the high-end party hall, when he interrupts a conversation to confront [White-haired Male - Mogul(Wembley)], based on the subject's observed facial expression, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses/Cap Male - Journalist(Fred)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses/Cap Male - Journalist(Fred)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses/Cap Male - Journalist(Fred)]", "affective_state": {"object": "[White-haired Male - Mogul(Wembley)]", "coarse_category": ["Anger"], "fine_description": "Outburst of righteous indignation and anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Serious, no special features", "body_language": "Pointing finger at the man", "vocal_cues": "Volume suddenly raised, solemn tone", "verbal_content": "Hey, I'll tell you the problem... you're everything that's wrong with this country because you're an old rich white man and your media conglomerate is ruining this planet."}}} {"unique_id": "5t24FQK-HKw_T1_2_1", "video_id": "5t24FQK-HKw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Short Hair Female - Politician(Charlotte)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Short Hair Female - Politician(Charlotte)]. When [White-haired Male - Mogul(Wembley)] confronts the subject about avoiding him, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Short Hair Female - Politician(Charlotte)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Short Hair Female - Politician(Charlotte)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Short Hair Female - Politician(Charlotte)]", "affective_state": {"object": "[White-haired Male - Mogul(Wembley)]", "coarse_category": ["Disgust"], "fine_description": "Internal disgust and annoyance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Happy smile", "vocal_cues": "Sincere denial tone, then laughing happily", "verbal_content": "No no not successfully"}}} {"unique_id": "5tiki7sdgak_T1_1_0", "video_id": "5tiki7sdgak", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Hair Female - Friend(Charlotte)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Hair Female - Friend(Charlotte)]. In the luxury hotel corridor, when her friend accuses her of projecting her own marital insecurities onto the situation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Hair Female - Friend(Charlotte)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Hair Female - Friend(Charlotte)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Hair Female - Friend(Charlotte)]", "affective_state": {"object": "[Blonde Curly Female - Friend(Carrie)]", "coarse_category": ["Sadness", "Surprise"], "fine_description": "A mix of shock at the cruelty and deep hurt/sadness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Facial contortion, attempting to hold back tears", "body_language": "Tilts head in shock, then looks down in sadness", "vocal_cues": "Trembling voice (crying tone)", "verbal_content": "Yeah, I'm just really, really tired. I'm going to take a nap."}}} {"unique_id": "6EFjbeXuNCg_T1_1_0", "video_id": "6EFjbeXuNCg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Mustache Male - Negotiator]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Mustache Male - Negotiator]. In the dimly lit restaurant or bar, when the Opponent stands up and punches him in the face, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Mustache Male - Negotiator]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Mustache Male - Negotiator]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Mustache Male - Negotiator]", "affective_state": {"object": "[Black Shirt Male - Opponent]", "coarse_category": ["Surprise"], "fine_description": "A sudden jolt of shock and disbelief at the unexpected physical assault.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Mouth slightly open", "body_language": "Lying on the floor, staring at the Opponent, remaining motionless for a long moment, hand frozen in mid-air"}}} {"unique_id": "6YbALz5M7Yk_T1_1_0", "video_id": "6YbALz5M7Yk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Female - Runner(Hannah)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Female - Runner(Hannah)]. At the track and field finish line area, when the official approaches to clarify the race results and explains the video review outcome, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Female - Runner(Hannah)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Female - Runner(Hannah)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Female - Runner(Hannah)]", "affective_state": {"object": "[White Male - Official]", "coarse_category": ["Surprise"], "fine_description": "A sudden surge of shock and disbelief.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth parts slightly, expression shifts from confusion to stunned surprise.", "body_language": "Body leans back slightly, hands raise instinctively, then she clasps her hands together."}}} {"unique_id": "6bDF7ZQgkZA_T1_1_0", "video_id": "6bDF7ZQgkZA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Girlfriend(Beth)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Girlfriend(Beth)]. On the nighttime beach, when the boyfriend begins his solo performance, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Girlfriend(Beth)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Girlfriend(Beth)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Girlfriend(Beth)]", "affective_state": {"object": "[Short-haired Male - Boyfriend(Zach)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A sudden onset of disappointment that quickly escalates into irrational irritation and aggression.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile disappears, corners of mouth droop, gaze lowers avoiding eye contact.", "vocal_cues": "Mocking, aggressive tone.", "verbal_content": "What's going on? This variant sucks, this is retarded."}}} {"unique_id": "6dA4C1NKChE_T1_1_0", "video_id": "6dA4C1NKChE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Middle-aged Female - Mother(Joyce)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Middle-aged Female - Mother(Joyce)]. During the visit to her deceased ex-boyfriend's home, when his daughter enters the room and is introduced, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Middle-aged Female - Mother(Joyce)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Middle-aged Female - Mother(Joyce)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Middle-aged Female - Mother(Joyce)]", "affective_state": {"object": "[Deceased Male - Ex-Boyfriend(Andrew)]", "coarse_category": ["Happiness", "Surprise"], "fine_description": "A sudden surge of touched astonishment and sentimental joy.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth opens slowly, revealing a surprised smile with teary eyes.", "body_language": "Head shakes slightly in disbelief."}}} {"unique_id": "6mooNp4aWBo_T1_2_1", "video_id": "6mooNp4aWBo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Mother(Tori)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother(Tori)]. While attempting to inform her son of a family tragedy and witnessing her husband's interrogation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother(Tori)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother(Tori)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother(Tori)]", "affective_state": {"object": "[Short-haired Boy - Son(Brandon)]", "coarse_category": ["Sadness", "Fear"], "fine_description": "Deep grief over the death mixed with rising panic and fear regarding the escalating domestic conflict.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, eyes filled with tears, tight lips, tense facial muscles", "body_language": "Leaning forward, placing hand on son's arm, trying to control the situation", "vocal_cues": "Trembling voice with sobbing, switching between soothing tones and panicked cries", "verbal_content": "Kyle, calm down! Brandon, honey, look at me. Please stop!"}}} {"unique_id": "6mooNp4aWBo_T1_3_2", "video_id": "6mooNp4aWBo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Bearded Male - Father(Kyle)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bearded Male - Father(Kyle)]. When he confronts his son about his whereabouts, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bearded Male - Father(Kyle)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bearded Male - Father(Kyle)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bearded Male - Father(Kyle)]", "affective_state": {"object": "[Short-haired Boy - Son(Brandon)]", "coarse_category": ["Anger"], "fine_description": "Explosive rage and frustration.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Gritting teeth, bloodshot eyes, facial muscles distorted by rage", "body_language": "Violently grabbing son's arm, waving hands aggressively", "vocal_cues": "Roaring, rapid speech rate, high volume", "verbal_content": "That is bullshit! He is fucking lying! Did you hurt Noah?"}}} {"unique_id": "7-5kYQLJnFw_T1_1_0", "video_id": "7-5kYQLJnFw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Green Top Female - Daughter(Lizzy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Top Female - Daughter(Lizzy)]. When the social workers arrive instead of the biological mother to inform the family that she has relapsed and refuses to take custody, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Top Female - Daughter(Lizzy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Top Female - Daughter(Lizzy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Top Female - Daughter(Lizzy)]", "affective_state": {"object": "[Biological Mother]", "coarse_category": ["Sadness", "Surprise"], "fine_description": "A devastating mix of shock, denial, and profound heartbreak.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Crying with tears falling, brows furrowed tightly, lips trembling.", "body_language": "Hand pressed to her mouth while crying, then turns away and runs off down the street.", "vocal_cues": "Voice trembling, rapid speech pace, speaking with a crying tone.", "verbal_content": "she wasn't ready for no I I didn't know she's ready just just just let me talk to her please and then and then we could figure something out and"}}} {"unique_id": "757qJxO5D6Y_T1_1_0", "video_id": "757qJxO5D6Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Shirt - Son(Brandon)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Shirt - Son(Brandon)]. In the backyard, after accidentally launching the heavy lawnmower across the yard with superhuman force, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Shirt - Son(Brandon)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Shirt - Son(Brandon)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Shirt - Son(Brandon)]", "affective_state": {"object": "[Grey Shirt - Son(Brandon)]", "coarse_category": ["Surprise", "Fear"], "fine_description": "A mix of profound shock at the impossible physical feat and rising fear regarding the nature of his own body.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widened, mouth slightly agape, expression of bewilderment.", "body_language": "Stares at the distant lawnmower, then lifts his hands, examining them with disbelief."}}} {"unique_id": "784nv_NRf4k_T1_1_0", "video_id": "784nv_NRf4k", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Beige Shirt Male - Prospective Father(Joseph)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Beige Shirt Male - Prospective Father(Joseph)]. During a tense adoption interview, when the pregnant interviewer interrupts him, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Beige Shirt Male - Prospective Father(Joseph)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Beige Shirt Male - Prospective Father(Joseph)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Beige Shirt Male - Prospective Father(Joseph)]", "affective_state": {"object": "[Brown Top Pregnant Female - Interviewer]", "coarse_category": ["Anger", "Embarrassment"], "fine_description": "A mix of social awkwardness and stifled irritation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile fades", "body_language": "Freezes, leans back, turns head toward his wife, and taps the table with his hand while waiting."}}} {"unique_id": "7MF2IgjAjjA_T1_1_0", "video_id": "7MF2IgjAjjA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Floral Shirt Female - Secretary(Annie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Floral Shirt Female - Secretary(Annie)]. In the living room, when she tries to make Charles guess the truth, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Floral Shirt Female - Secretary(Annie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Floral Shirt Female - Secretary(Annie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Floral Shirt Female - Secretary(Annie)]", "affective_state": {"object": "[Light Shirt Male - Boss(Charles)]", "coarse_category": ["Anxiety"], "fine_description": "Intense anxiety and desperation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Distorted expression, furrowed brows, wide eyes, open mouth, looking painful and agitated.", "body_language": "Waving hands, leaning forward, standing up and sitting down, large amplitude movements showing strong fluctuation.", "vocal_cues": "High-pitched, rapid speed, crying and shouting tone.", "verbal_content": "I know stuff about what happened at work. I can't tell you what because of that thing that I signed. But if you start guessing, I can't help it if this face is an open book. Look at this. It is killing me, this information. It's like I know someone is going to shoot you and I can't just scream, Watch out! That man's going to blow your friggin' head off! Please play this game with me or else I'm just going to tell you. Oh, for God's sake, let me unboard it! Oh, my God."}}} {"unique_id": "7MF2IgjAjjA_T1_2_1", "video_id": "7MF2IgjAjjA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Light Shirt Male - Boss(Charles)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Shirt Male - Boss(Charles)]. In the living room, when he attempts to silence Annie and calm her down, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Shirt Male - Boss(Charles)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Shirt Male - Boss(Charles)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Shirt Male - Boss(Charles)]", "affective_state": {"object": "[Floral Shirt Female - Secretary(Annie)]", "coarse_category": ["Anxiety"], "fine_description": "Urgent concern and panic regarding the legal consequences.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, urgent eyes, mouth slightly open, nervous and pleading expression.", "body_language": "Leaning forward, grabbing her arms, trying to force her to sit, gestures implying soothing and control.", "vocal_cues": "Fast speed, urgent tone, pleading and warning.", "verbal_content": "No! No! No! Stop! Stop! Stop! Stop! Stop! Stop! Annie, sit down, please. Sit down. Sit down. Sit down. Just careful, careful. You have to understand what this is like for me right now. Picture a very angry ocean, a storm, and I'm on this little tiny boat. And miraculously, this boat is still afloat. And that boat is that I haven't done anything wrong. Like allowing you to tell me something you're legally constrained from revealing. Not doing anything wrong is what's keeping me afloat. Right? If I lose that, I'm gone."}}} {"unique_id": "7SUhcNiKIrI_T1_1_0", "video_id": "7SUhcNiKIrI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Shirt Male - Son]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Shirt Male - Son]. In the dimly lit garage, when the Son confronts the Father about selling his equipment while the Father works on machinery, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Shirt Male - Son]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Shirt Male - Son]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Shirt Male - Son]", "affective_state": {"object": "[Hat Male - Father]", "coarse_category": ["Anxiety"], "fine_description": "A mix of urgent concern for the Father's future and frustration over the lack of communication.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes focused and filled with concern.", "body_language": "Leans body forward, raising arms to gesture while interacting with the Father.", "vocal_cues": "Tone is slightly urgent and uneasy, voice low but clear.", "verbal_content": "What the hell are you gonna do without this? ... Why don't you say anything, Dad?"}}} {"unique_id": "7T9nzAu7orw_T1_1_0", "video_id": "7T9nzAu7orw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brunette - Guest(Birdee)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brunette - Guest(Birdee)]. During a live talk show segment, when the subject's best friend confesses to having an affair with the subject's husband, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brunette - Guest(Birdee)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brunette - Guest(Birdee)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brunette - Guest(Birdee)]", "affective_state": {"object": "[Blonde - Guest(Connie)]", "coarse_category": ["Sadness", "Embarrassment"], "fine_description": "She experiences feelings of shock, deep humiliation, and profound sadness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Mouth slightly open with a blank stare, followed by squeezing out an unnatural smile", "body_language": "Turns head away to avoid eye contact with the friend, looks towards the audience while smiling, and tucks hair behind her ear", "vocal_cues": "Voice trembles with a low tone", "verbal_content": "What I...?"}}} {"unique_id": "7TDp3USwyww_T1_1_0", "video_id": "7TDp3USwyww", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Blonde Male - Narrator(Dud)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Blonde Male - Narrator(Dud)]. In the storage room, while confessing to the [Dark-haired Female - Listener(Liz)] about refusing his father's final invitation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Blonde Male - Narrator(Dud)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Blonde Male - Narrator(Dud)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Blonde Male - Narrator(Dud)]", "affective_state": {"object": "[Father - Deceased]", "coarse_category": ["Sadness"], "fine_description": "Overwhelming grief mixed with intense self-reproach and helplessness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes cast down, transitioning into open crying.", "body_language": "Clutches head with hands, squats down, and curls body into a ball, displaying extreme distress and vulnerability.", "vocal_cues": "Voice breaking, speaking through sobs.", "verbal_content": "I was standing right here. And he asked me if I wanted to go with him. I said no, because I was too embarrassed with my foot. I was standing right here, and I just... I just watched him walk out the door. If I would have gone, I could..."}}} {"unique_id": "7a9g6mvCGWU_T1_1_0", "video_id": "7a9g6mvCGWU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Balding Male - Gangster(Whitey)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Balding Male - Gangster(Whitey)]. While dining with associates, when [Striped Shirt Male - Associate(Morris)] reveals a \"family secret\" recipe, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Balding Male - Gangster(Whitey)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Balding Male - Gangster(Whitey)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Balding Male - Gangster(Whitey)]", "affective_state": {"object": "[Striped Shirt Male - Associate(Morris)]", "coarse_category": ["Anger", "Frustration"], "fine_description": "A cold, menacing anger mixed with deep dissatisfaction and suspicion.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, sharp gaze, staring intensely at the other person", "vocal_cues": "Calm, relaxed tone", "verbal_content": "I thought it was a family secret. You said to me this is a family secret, and you gave it up to me, boom."}}} {"unique_id": "7czG5jr71Q8_T1_1_0", "video_id": "7czG5jr71Q8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Female - Daughter(Sam)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Female - Daughter(Sam)]. In the indoor music studio, when [Gray Bearded Male - Father(Frank)] discovers lyrics in the notebook of [Black Female - Daughter(Sam)] and questions her about when they were written, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Female - Daughter(Sam)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Female - Daughter(Sam)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Female - Daughter(Sam)]", "affective_state": {"object": "[Gray Bearded Male - Father(Frank)]", "coarse_category": ["Fear", "Anxiety"], "fine_description": "A mix of reluctance to share her inner thoughts and apprehension about his reaction.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Unfocused eyes, slightly pursed lips", "body_language": "Lowers head to sigh, then looks up to address him", "vocal_cues": "Weak voice, fast tempo", "verbal_content": "Earlier today"}}} {"unique_id": "7hyT8HAb6ZU_T1_1_0", "video_id": "7hyT8HAb6ZU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Beige Coat Female - Lawyer(Ruth)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Beige Coat Female - Lawyer(Ruth)]. On a city street at night, when she confronts the husband about his attitude, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Beige Coat Female - Lawyer(Ruth)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Beige Coat Female - Lawyer(Ruth)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Beige Coat Female - Lawyer(Ruth)]", "affective_state": {"object": "[Black Suit Male - Lawyer(Martin)]", "coarse_category": ["Anger"], "fine_description": "A surge of intense frustration and resentment culminating in a verbal explosion.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, sharp gaze, tense facial muscles, gritted teeth.", "body_language": "Stops abruptly, waves arms excitedly.", "vocal_cues": "(tone) Initially suppressed sarcasm, exploding into high-decibel shouting with obvious tremors and anger.", "verbal_content": "You always do that. What? You act like it doesn't matter. No. But all the little brush-offs, the dismissive pats on the head, it matters, Because that's what I wanted to do."}}} {"unique_id": "7hyT8HAb6ZU_T1_2_1", "video_id": "7hyT8HAb6ZU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Suit Male - Lawyer(Martin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Lawyer(Martin)]. On a city street at night, when he is questioned regarding his behavior at a social event, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Lawyer(Martin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Lawyer(Martin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Lawyer(Martin)]", "affective_state": {"object": "[Beige Coat Female - Lawyer(Ruth)]", "coarse_category": ["Frustration", "Embarrassment"], "fine_description": "A mix of embarrassment and irritation, manifesting as a defensive shield of sarcasm.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, shifting eyes, a hint of a fake smile.", "body_language": "Spreads hands, hesitates in steps, frequently turns head to observe her reaction.", "vocal_cues": "(tone) Sharp, sarcastic tone, fast speaking rate.", "verbal_content": "Okay fine, next time my boss gives me a clumsy compliment I'll challenge him to a duel. Let that make you happy? Just tell me what you want."}}} {"unique_id": "7nPgHDZhckM_T1_2_0", "video_id": "7nPgHDZhckM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Suit Male - Date(Ellis)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Date(Ellis)]. In the luxury hotel lobby, when Adaline guesses a specific name for the woman upstairs, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Date(Ellis)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Date(Ellis)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Date(Ellis)]", "affective_state": {"object": "[Blonde Female - Date(Adaline)]", "coarse_category": ["Happiness"], "fine_description": "Amusement mixed with increasing affection and attraction.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth raised, eyes focused and affectionate.", "body_language": "Leans slightly forward towards her, showing active engagement.", "vocal_cues": "Bright laughter followed by a warm, magnetic tone.", "verbal_content": "No. Her name is Agnes Boggs. Her uncle's the chef. And she's not my date."}}} {"unique_id": "7rVxq0WB09Q_T1_1_0", "video_id": "7rVxq0WB09Q", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Male - Boyfriend(Hardin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Male - Boyfriend(Hardin)]. After the revelation that [Blonde Female - Girlfriend(Tessa)] is planning to move to New York with [Curly Male - Friend(Landon)], based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Male - Boyfriend(Hardin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Male - Boyfriend(Hardin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Male - Boyfriend(Hardin)]", "affective_state": {"object": "[Curly Male - Friend(Landon)]", "coarse_category": ["Anger"], "fine_description": "A volatile mix of shock, betrayal, and intense fury.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Facial distortion, frowning.", "body_language": "Body shaking in the chair, extending right hand.", "vocal_cues": "Angry, solemn", "verbal_content": "He's supposed to be my fk brother."}}} {"unique_id": "7x9czGNe2FY_T1_1_0", "video_id": "7x9czGNe2FY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Glasses Male - Guest(Larry)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Glasses Male - Guest(Larry)]. When the child refuses to sleep and mocks the guest's appearance, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Glasses Male - Guest(Larry)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Glasses Male - Guest(Larry)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Glasses Male - Guest(Larry)]", "affective_state": {"object": "[Green Shirt Male - Child]", "coarse_category": ["Anger"], "fine_description": "A surge of aggressive frustration and dominant anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, eyes full of anger and threat, facial muscles slightly twisted.", "body_language": "Rushes into the room, roughly pins the boy onto the bed, points index finger closely at the boy's face to intimidate.", "vocal_cues": "(tone) Fast-paced, low and forceful pitch indicating suppressed rage, with a strong threatening tone.", "verbal_content": "All right, you little prick... I got some gratitude sex coming to me and you're not gonna ruin it."}}} {"unique_id": "8-rE-rqwd-o_T1_1_0", "video_id": "8-rE-rqwd-o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Male - Patient(Paul)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Patient(Paul)]. In the hospital recovery room, when he receives a phone call from his wife revealing she has abandoned the plan, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Patient(Paul)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Patient(Paul)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Patient(Paul)]", "affective_state": {"object": "[Female - Wife(Audrey)]", "coarse_category": ["Anger"], "fine_description": "A mix of disbelief, intense indignation, and a deep sense of grievance and isolation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes closed, lips pursed tightly.", "body_language": "Hand clenched into a fist.", "vocal_cues": "Shouting, strained and aggressive tone.", "verbal_content": "Thinking about yourself? Thinking about yourself? You know you haven't even asked me how I am... You're upset? You're upset? I'm the one who..."}}} {"unique_id": "81XTZOlNHEU_T1_1_1", "video_id": "81XTZOlNHEU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Girl - Daughter(Lucy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Girl - Daughter(Lucy)]. In the visitation room, when she reunites with her father, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Girl - Daughter(Lucy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Girl - Daughter(Lucy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Girl - Daughter(Lucy)]", "affective_state": {"object": "[Jacket Man - Father(Sam)]", "coarse_category": ["Happiness"], "fine_description": "A sense of safety, relief, and joy.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth raised, eyes bright, smiling.", "body_language": "Leaning slightly forward, moving closer to her father, showing intimacy.", "vocal_cues": "Light voice, upward intonation.", "verbal_content": "Daddy!"}}} {"unique_id": "81XTZOlNHEU_T1_2_0", "video_id": "81XTZOlNHEU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Jacket Man - Father(Sam)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Jacket Man - Father(Sam)]. When Sam comforts Lucy as she apologizes for the separation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Jacket Man - Father(Sam)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Jacket Man - Father(Sam)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Jacket Man - Father(Sam)]", "affective_state": {"object": "[Blonde Girl - Daughter(Lucy)]", "coarse_category": ["Guilt"], "fine_description": "Guilt and heartache for her suffering.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows relaxed, corners of mouth slightly raised, gentle eyes.", "body_language": "Leaning forward, maintaining eye contact with daughter, relaxed posture.", "vocal_cues": "Gentle tone, slowed speech rate.", "verbal_content": "no don't say that no we could say well it's not all your fault so don't say that"}}} {"unique_id": "85cnCW_4LIc_T1_1_0", "video_id": "85cnCW_4LIc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Wet-haired Young Female - Daughter(Ariel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Wet-haired Young Female - Daughter(Ariel)]. Inside the church, when her father confronts her and demands to know if Ren McCormack is responsible for her injuries, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Wet-haired Young Female - Daughter(Ariel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Wet-haired Young Female - Daughter(Ariel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Wet-haired Young Female - Daughter(Ariel)]", "affective_state": {"object": "[Dark Suit Middle-aged Male - Father(Shaw)]", "coarse_category": ["Disgust", "Anger"], "fine_description": "A mix of exhaustion, annoyance, and resentment towards his predictable controlling behavior.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Rolls eyes, closes eyes, purses lips", "body_language": "Head slightly lowered"}}} {"unique_id": "89yPHsT8AKg_T1_1_0", "video_id": "89yPHsT8AKg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey-haired Male - Colleague]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey-haired Male - Colleague]. In the modern kitchen, when the Red-haired Female speaks to the Grey-haired Male regarding the conspiracy, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey-haired Male - Colleague]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey-haired Male - Colleague]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey-haired Male - Colleague]", "affective_state": {"object": "[Red-haired Female - Lawyer]", "coarse_category": ["Fear", "Anger"], "fine_description": "A flash of panic and guilt that is quickly followed by defensive indignation and rage.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Downcast eyes, shifting gaze, and a look of guilt.", "body_language": "Puts down cup, turns around, paces back and forth, with chest heaving from rapid breathing.", "vocal_cues": "Fast speaking rate, high volume, and a fierce tone.", "verbal_content": "\"You are trying to force me to leak state secrets. They are bombing our cities.\""}}} {"unique_id": "8Kx0qYRv8XQ_T1_1_0", "video_id": "8Kx0qYRv8XQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Legal Assistant(Erin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Legal Assistant(Erin)]. In the office, when Erin confronts Ed about being sidelined for clerical work, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Legal Assistant(Erin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Legal Assistant(Erin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Legal Assistant(Erin)]", "affective_state": {"object": "[Grey-haired Male - Lawyer(Ed)]", "coarse_category": ["Anger"], "fine_description": "Feels intense anger and frustration at the lack of respect and the resulting crisis.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, wide eyes, tense facial muscles, mouth open in heated speech.", "body_language": "Hands raised in emphatic gestures, leaning forward to assert dominance.", "vocal_cues": "Fast tempo, high volume, accusatory and questioning tone.", "verbal_content": "Bullshit! You stuck me in Siberia dictating to some goddamn Steno clerk so you could finish this without me. And what? I'm not serious?"}}} {"unique_id": "8Kx0qYRv8XQ_T1_2_1", "video_id": "8Kx0qYRv8XQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Grey-haired Male - Lawyer(Ed)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey-haired Male - Lawyer(Ed)]. In the office, when he is confronted by the legal assistant, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey-haired Male - Lawyer(Ed)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey-haired Male - Lawyer(Ed)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey-haired Male - Lawyer(Ed)]", "affective_state": {"object": "[Blonde Female - Legal Assistant(Erin)]", "coarse_category": ["Anger"], "fine_description": "Feels defensive and annoyed.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Wide eyes, raised brows, mouth slightly open, expression of shock and confusion.", "body_language": "Leaning back slightly, head tilted, showing a defensive and avoidant posture.", "vocal_cues": "Slightly fast pace, rising pitch, mixing questioning and placating tones.", "verbal_content": "You're emotional. Look. You're erratic. You say any goddamn thing that comes into your head, you make this personal, and it isn't."}}} {"unique_id": "8Kx0qYRv8XQ_T1_3_2", "video_id": "8Kx0qYRv8XQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Blonde Female - Legal Assistant(Erin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Legal Assistant(Erin)]. When Ed claims the case 'isn't personal' and the subject highlights her sacrifices, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Legal Assistant(Erin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Legal Assistant(Erin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Legal Assistant(Erin)]", "affective_state": {"object": "[Grey-haired Male - Lawyer(Ed)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "Feels a mix of deep grievance and cold, resolved anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Clenched jaw, tense facial muscles, eyes conveying deep hurt and coldness.", "body_language": "Approaches Ed aggressively, leaning in and facing him squarely.", "vocal_cues": "Voice trembling with emotion, rising to a shout on the final line.", "verbal_content": "My sweat, my time away from my kids... If that's not personal, I don't know what is."}}} {"unique_id": "8O7iSf2atSo_T1_1_1", "video_id": "8O7iSf2atSo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Blonde Female - Fiancée(Erica)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Blonde Female - Fiancée(Erica)]. While she is on the phone with her fiancé regarding his arrest, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Blonde Female - Fiancée(Erica)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Blonde Female - Fiancée(Erica)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Blonde Female - Fiancée(Erica)]", "affective_state": {"object": "[Bandaged Male - Prisoner(Dre)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "A deep sense of grievance and indignation, feeling owed and undervalued.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, tight lips, transitioning to an open mouth while speaking excitedly.", "body_language": "Leaning forward, holding the phone tight against the ear, gesturing in the air with fingers to emphasize tone.", "vocal_cues": "Accelerated speech rate, elevated pitch, questioning and accusatory tone.", "verbal_content": "You owe me! You have to choose me! Did you forget who I am?"}}} {"unique_id": "8O7iSf2atSo_T1_2_0", "video_id": "8O7iSf2atSo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bandaged Male - Prisoner(Dre)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bandaged Male - Prisoner(Dre)]. In the jail visitation room, when [Bandaged Male - Prisoner(Dre)] calls [Long Blonde Female - Fiancée(Erica)] from jail, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bandaged Male - Prisoner(Dre)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bandaged Male - Prisoner(Dre)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bandaged Male - Prisoner(Dre)]", "affective_state": {"object": "[Long Blonde Female - Fiancée(Erica)]", "coarse_category": ["Disgust", "Sadness"], "fine_description": "Heartbreak mixed with disgust at the shallowness of the relationship and shame for his situation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, averting gaze, and slightly pursed lips.", "body_language": "Leaning back, gripping the phone tightly, and slight trembling in fingers.", "vocal_cues": "Slowed speech rate and low pitch.", "verbal_content": "I'm an alcoholic. I'm a drunk. Do you really think I need to go to a party?"}}} {"unique_id": "8QzFJA3QM7E_T1_1_0", "video_id": "8QzFJA3QM7E", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Male - Guest(Quinn)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Male - Guest(Quinn)]. During a family dinner, when Quinn tells a joke about his heritage, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Male - Guest(Quinn)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Male - Guest(Quinn)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Male - Guest(Quinn)]", "affective_state": {"object": "[Brunette Female - Daughter(Devon)]", "coarse_category": ["Embarrassment"], "fine_description": "A sharp pang of social embarrassment and awkwardness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Maintains a stiff, frozen smile; eyes dart frequently between Devon and the family seeking validation.", "body_language": "Leans forward slightly then retreats hesitantly; hands gesture vaguely in the air attempting to clarify the punchline.", "vocal_cues": "Speaks with a rapid tempo and an ingratiating tone; laughter sounds forced and hollow.", "verbal_content": "It's awkward because I have an Algerian neck, so they're always fighting."}}} {"unique_id": "8XgWVspjTQs_T1_1_0", "video_id": "8XgWVspjTQs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Ponytail Female - Customer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Ponytail Female - Customer]. At a video rental store counter, when the clerk identifies an outstanding late fee on the account, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Ponytail Female - Customer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Ponytail Female - Customer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Ponytail Female - Customer]", "affective_state": {"object": "[Uniformed Female - Clerk]", "coarse_category": ["Surprise"], "fine_description": "A feeling of surprise mixed with immediate resistance and disbelief.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Composed face; her gaze drops to her handbag as she answers", "body_language": "Looks down and rummages in her handbag instead of facing the clerk", "vocal_cues": "Brief, flat, dismissive tone", "verbal_content": "no I would not"}}} {"unique_id": "8bY4qPadkSo_T1_1_0", "video_id": "8bY4qPadkSo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother]. In a trailer living room, when the mother and son argue over an eviction notice, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother]", "affective_state": {"object": "[Male in Grey Long Sleeve - Son(Rabbit)]", "coarse_category": ["Anger", "Anxiety"], "fine_description": "Facing the threat of eviction and her son's refusal to help, she feels overwhelmed by the crisis and humiliated by his judgment, resulting in a mix of defensive anger and paralyzing anxiety.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, evasive gaze, trembling lips, furrowed brows, pained expression, signs of tearing up.", "body_language": "Fidgeting hands, hunched shoulders, leaning forward slightly, posture appears fragile and defensive.", "vocal_cues": "Trembling voice, accelerated speech, crying tone, intonation filled with grievance and anxiety.", "verbal_content": "If you're going to live here, you got to start chipping in, Rabbit... No, no, I can't. He's going to ask me and Lily to move away with him. Someplace nice, real soon. I just can't, I can't freaking out right now."}}} {"unique_id": "8bY4qPadkSo_T1_2_1", "video_id": "8bY4qPadkSo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Male in Grey Long Sleeve - Son(Rabbit)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Male in Grey Long Sleeve - Son(Rabbit)]. During the argument over the eviction notice, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Male in Grey Long Sleeve - Son(Rabbit)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Male in Grey Long Sleeve - Son(Rabbit)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Male in Grey Long Sleeve - Son(Rabbit)]", "affective_state": {"object": "[Blonde Female - Mother]", "coarse_category": ["Anger"], "fine_description": "He feels a strong, righteous sense of frustration and anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, pursed lips, tense facial muscles.", "body_language": "Turns from the counter and leans forward toward her, aggressive and oppressive posture.", "vocal_cues": "Fast pace, raised volume, hard tone, accusatory.", "verbal_content": "What do you mean, we? ... When's Greg getting his settlement check? Get the money from him... Mom, you've got to stop living your life like this. If you really cared about Lily, you would get a job. Quit fucking around."}}} {"unique_id": "8gvuU-U64d0_T1_1_0", "video_id": "8gvuU-U64d0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Veil Female - Widow]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Veil Female - Widow]. During the funeral procession, when the car salesman approaches and pivots the conversation to a sales pitch, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Veil Female - Widow]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Veil Female - Widow]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Veil Female - Widow]", "affective_state": {"object": "[Mustached Male - Salesman]", "coarse_category": ["Anger"], "fine_description": "intense anger and disgust", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Glaring eyes", "vocal_cues": "Sharp tone, raised voice, imbued with strong condemnation.", "verbal_content": "You're not trying to sell me a car are you? At my husband's funeral? Before he's even in the ground? Are you?"}}} {"unique_id": "8z7YDo44-xE_T1_1_1", "video_id": "8z7YDo44-xE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Waitress(Carol)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Waitress(Carol)]. In the restaurant, when the customer makes a remark about her son's mortality, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Waitress(Carol)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Waitress(Carol)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Waitress(Carol)]", "affective_state": {"object": "[Older Male - Customer(Melvin)]", "coarse_category": ["Anger"], "fine_description": "A surge of protective rage and shock at the audacity of the comment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"body_language": "Stops all action abruptly; fixes an intense gaze upon the man.", "vocal_cues": "Serious, calm, menacing tone", "verbal_content": "If you ever mention my son again, you will never be able to eat here again. Do you understand? Give me some sign you understand or leave now. Do you understand me?"}}} {"unique_id": "8z7YDo44-xE_T1_2_0", "video_id": "8z7YDo44-xE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Waitress(Carol)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Waitress(Carol)]. In the restaurant, after issuing an ultimatum, when the customer hesitates to respond, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Waitress(Carol)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Waitress(Carol)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Waitress(Carol)]", "affective_state": {"object": "[Older Male - Customer(Melvin)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "Escalated fury mixed with a sense of grievance and emotional exhaustion.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed tightly, eyes filled with anger and grievance, mouth twitching.", "vocal_cues": "Stern, agitated, intense", "verbal_content": "Do you understand me, you crazy f*ck?"}}} {"unique_id": "99-v2bOxnJU_T1_1_0", "video_id": "99-v2bOxnJU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Wife]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife]. When the husband brings his wife to a dog breeder's home for her birthday, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife]", "affective_state": {"object": "[Puppies]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "Feeling a sudden rush of surprise followed by overwhelming joy", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth opens slightly, followed by a bright smile; expression shifts from astonishment to delight.", "body_language": "Leans body forward, reaches out to gently stroke the puppies, squats down to interact, showing a strong desire for proximity.", "vocal_cues": "Emits excited screams, pitch is extremely high with a noticeable tremor of joy.", "verbal_content": "What? God, they're adorable! Oh my god!"}}} {"unique_id": "9Azi0-s-iRc_T1_1_0", "video_id": "9Azi0-s-iRc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red-haired Male - Student(John)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red-haired Male - Student(John)]. In the university studio, when the classmate reviews the work and offers verbal feedback, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red-haired Male - Student(John)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red-haired Male - Student(John)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red-haired Male - Student(John)]", "affective_state": {"object": "[Black Male - Student]", "coarse_category": ["Happiness"], "fine_description": "He feels a sense of deep satisfaction, pride, and relief.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth raised, eyes bright, displaying a broad smile."}}} {"unique_id": "9C6DANHgdrE_T1_1_0", "video_id": "9C6DANHgdrE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Headscarf Boy - Patient(Henry)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Headscarf Boy - Patient(Henry)]. In the hospital ward, when the patient discusses financial matters with his mother and mentions his limited time left, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Headscarf Boy - Patient(Henry)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Headscarf Boy - Patient(Henry)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Headscarf Boy - Patient(Henry)]", "affective_state": {"object": "[Blonde Female - Mother(Susan)]", "coarse_category": ["Sadness"], "fine_description": "A deep sense of sorrow, fear, and concern.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Steady, sober gaze at his mother, composed face, then lips pressed and eyes lowered.", "body_language": "Reclines against the pillow, then looks down at the small object in his hand.", "vocal_cues": "Trembling voice, slowed tempo, low pitch.", "verbal_content": "I may not be here next week."}}} {"unique_id": "9C6DANHgdrE_T1_2_1", "video_id": "9C6DANHgdrE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Colorful Hoodie Boy - Brother(Peter)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Colorful Hoodie Boy - Brother(Peter)]. In the hospital ward, when the patient gives him final instructions regarding a notebook and their mother, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Colorful Hoodie Boy - Brother(Peter)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Colorful Hoodie Boy - Brother(Peter)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Colorful Hoodie Boy - Brother(Peter)]", "affective_state": {"object": "[White Headscarf Boy - Patient(Henry)]", "coarse_category": ["Sadness"], "fine_description": "A feeling of helplessness and deep grief.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Wet eyes, downturned corners of the mouth, eyes filled with worry and sadness.", "body_language": "Leaning forward slightly, hand pressed over his eyes, slow movements.", "vocal_cues": "Weak voice, low tone.", "verbal_content": "Are you gonna be... it'll be good... wanna be friends with you."}}} {"unique_id": "9DmxaUyjKTk_T1_1_0", "video_id": "9DmxaUyjKTk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Wife]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Wife]. When the wife confronts the husband regarding the digital voice replica he created, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Wife]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Wife]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Wife]", "affective_state": {"object": "[Short-haired Male - Husband]", "coarse_category": ["Sadness"], "fine_description": "Deep hurt and disappointment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, red eyes, trembling lips, pained expression.", "body_language": "Sits facing him, leaning slightly toward him, head tilted, still posture.", "vocal_cues": "Slow speech rate, low pitch, choking sound.", "verbal_content": "But it's not me. It's nothing like me. I would like to go back to being your wife. And not your science experiment."}}} {"unique_id": "9DmxaUyjKTk_T1_2_1", "video_id": "9DmxaUyjKTk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Short-haired Male - Husband]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Male - Husband]. When his wife rejects the technology, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Male - Husband]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Male - Husband]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Male - Husband]", "affective_state": {"object": "[Long-haired Female - Wife]", "coarse_category": ["Surprise"], "fine_description": "Baffled confusion.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widened, frowning, corners of mouth slightly turned down, wandering gaze, trying to stay calm.", "body_language": "Sits still facing her, head slightly lowered.", "vocal_cues": "Slightly fast speech rate, steady pitch but slightly defensive.", "verbal_content": "But I enjoy listening to you."}}} {"unique_id": "9KTrhQhktPw_T1_1_1", "video_id": "9KTrhQhktPw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Female - Neighbor(Marisol)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Female - Neighbor(Marisol)]. At the residential doorstep, when Otto arrives at the door and asks to use the phone, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Female - Neighbor(Marisol)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Female - Neighbor(Marisol)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Female - Neighbor(Marisol)]", "affective_state": {"object": "[Grey Hair Male - Neighbor(Otto)]", "coarse_category": ["Anger"], "fine_description": "Intense anger mixed with hurt and accumulated worry.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, glistening tears, furrowed brows, trembling lips", "body_language": "Hand gripping the door frame, leaning back slightly, defensive posture", "vocal_cues": "Trembling voice, accelerated tempo, crying tone (tearful)", "verbal_content": "you won't tell me why your phone is disconnected... you scared me... I didn't know if something had happened to you"}}} {"unique_id": "9KTrhQhktPw_T1_2_0", "video_id": "9KTrhQhktPw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Grey Hair Male - Neighbor(Otto)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Hair Male - Neighbor(Otto)]. When Marisol refuses his request and confronts him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Hair Male - Neighbor(Otto)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Hair Male - Neighbor(Otto)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Hair Male - Neighbor(Otto)]", "affective_state": {"object": "[Curly Hair Female - Neighbor(Marisol)]", "coarse_category": ["Anxiety"], "fine_description": "Suppressed anxiety and urgent frustration.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, averted gaze, downturned mouth, heavy expression", "body_language": "Stands at the door holding a folder of papers, head slightly lowered, then steps forward", "vocal_cues": "Low pitch, slow tempo, suppressed tone", "verbal_content": "Real estate bastards... They're trying to evict Reuben out of their home. That's why I need to use your phone."}}} {"unique_id": "9MHlEXHqA8A_T1_1_0", "video_id": "9MHlEXHqA8A", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mrs. Harris]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mrs. Harris]. When the Directress questions her social status and the dress's purpose, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mrs. Harris]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mrs. Harris]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mrs. Harris]", "affective_state": {"object": "[Brunette Female - Directress]", "coarse_category": ["Embarrassment", "Sadness"], "fine_description": "A mix of deep awkwardness, humiliation, and hurt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Pursed lips, unnatural blinking, maintaining a smile with occasional twitching.", "body_language": "Hands clasped in front, swallowing, choking up.", "verbal_content": "It's my dream. And my money is as good as anybody else's."}}} {"unique_id": "9OhXJOQioeU_T1_1_0", "video_id": "9OhXJOQioeU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Red Hair Female - Student(Mia)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Red Hair Female - Student(Mia)]. In a back alley at night, when the musician loads equipment into a van and informs her he must leave immediately, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Red Hair Female - Student(Mia)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Red Hair Female - Student(Mia)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Red Hair Female - Student(Mia)]", "affective_state": {"object": "[Curly Brown Hair Male - Musician(Adam)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A mix of feeling neglected, disappointed, and angry at the broken promise.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, trembling lips, furrowed brows, pained expression.", "body_language": "Leaning slightly forward, hands clasped tightly, appearing uneasy.", "vocal_cues": "Trembling voice, accelerated speech rate, suppressed crying tone.", "verbal_content": "But we had plans... dinner for my birthday tonight. I just wish you would have told me... you're a liar... how is that fair?"}}} {"unique_id": "9OhXJOQioeU_T1_2_1", "video_id": "9OhXJOQioeU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Curly Brown Hair Male - Musician(Adam)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Brown Hair Male - Musician(Adam)]. During a confrontation about his sudden departure, when the student says she wishes he had told her, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Brown Hair Male - Musician(Adam)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Brown Hair Male - Musician(Adam)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Brown Hair Male - Musician(Adam)]", "affective_state": {"object": "[Long Red Hair Female - Student(Mia)]", "coarse_category": ["Anger", "Guilt"], "fine_description": "Defensive anger and underlying guilt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Shifting gaze, complex expression, alternating between defensiveness and pain, trying to remain calm.", "body_language": "Stops loading the van, turns his head toward her over his shoulder, then straightens up facing her.", "vocal_cues": "Volume increases sharply, tone full of sarcasm and reactive aggression.", "verbal_content": "Well, like you told me about Juilliard? For the record, I didn't even hear about the tour until tonight."}}} {"unique_id": "9OlXAy0L0yI_T1_1_0", "video_id": "9OlXAy0L0yI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Striped Scarf Male - Band Leader(Mr. Brown)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Scarf Male - Band Leader(Mr. Brown)]. When a band member insults him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Scarf Male - Band Leader(Mr. Brown)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Scarf Male - Band Leader(Mr. Brown)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Scarf Male - Band Leader(Mr. Brown)]", "affective_state": {"object": "[Plaid Shirt Male - Band Member]", "coarse_category": ["Anger"], "fine_description": "Explosive rage and indignation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows", "body_language": "Stands at the microphone, turning his head and upper body sharply toward the band", "vocal_cues": "Voice angry and powerful, accelerated tempo", "verbal_content": "What did you say to me? You just wait! Get out of here right now! Do you hear me? Don't make me come out there myself! Get out right now! Get the hell out! All of you get out!"}}} {"unique_id": "9VAf3uNtvf0_T1_1_0", "video_id": "9VAf3uNtvf0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White T-Shirt Female - Protagonist(Lucy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White T-Shirt Female - Protagonist(Lucy)]. At the restaurant entrance, when the hostess intercepts her and questions her presence, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White T-Shirt Female - Protagonist(Lucy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White T-Shirt Female - Protagonist(Lucy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White T-Shirt Female - Protagonist(Lucy)]", "affective_state": {"object": "[Black Dress Female - Restaurant Hostess]", "coarse_category": ["Anxiety"], "fine_description": "A feeling of frantic urgency mixed with anxiety.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling warmly at the hostess.", "body_language": "Gesturing at the hostess's dress complimentarily.", "vocal_cues": "High-pitched, upbeat tone.", "verbal_content": "Uh hey girl, cute dress. I'm just meeting a friend."}}} {"unique_id": "9VY3OKScxP4_T1_1_0", "video_id": "9VY3OKScxP4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray Haired Male - Veteran Agent(Lake)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Haired Male - Veteran Agent(Lake)]. When the Supervisor confronts him with his secret medical records and forces him into immediate retirement, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Haired Male - Veteran Agent(Lake)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Haired Male - Veteran Agent(Lake)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Haired Male - Veteran Agent(Lake)]", "affective_state": {"object": "[Dark Suit Male - Supervisor]", "coarse_category": ["Anger"], "fine_description": "explosive indignation and rage", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Tearing up, gritting teeth", "body_language": "Shaking in the chair while arguing", "vocal_cues": "Raised voice, fast tempo, strong questioning and accusatory tone", "verbal_content": "You think I'm a liability? You fucked us up! Just like you fucked everything else up! Iran-Contra, Ames, 9/11, WMD, Afghanistan and Iraq, Benghazi! Not you, people like you!"}}} {"unique_id": "9Wfswn2lkAo_T1_1_0", "video_id": "9Wfswn2lkAo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Black Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Black Female - Mother]. On the night street, when she is separated from the vehicle for questioning, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Black Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Black Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Black Female - Mother]", "affective_state": {"object": "[White Male - Officer]", "coarse_category": ["Fear"], "fine_description": "A suffocating sense of terror and extreme anxiety.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Shifty eyes, nervous expression, trembling corners of the mouth, stiff facial muscles.", "body_language": "Tense body, unnaturally clutching coat, frequently looking back.", "vocal_cues": "Slightly fast pace, high pitch, with a slight tremor.", "verbal_content": "I... I was reaching for the radio and my hand must have slipped... I can't say anything right now."}}} {"unique_id": "9Wfswn2lkAo_T1_2_1", "video_id": "9Wfswn2lkAo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Male - Intruder]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male - Intruder]. When the intruder watches from the car as the police officer intercepts and questions the woman, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male - Intruder]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male - Intruder]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male - Intruder]", "affective_state": {"object": "[White Male - Officer]", "coarse_category": ["Anger"], "fine_description": "Intense murderous intent and hostility.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes become cold and sharp.", "body_language": "Sits still in the passenger seat holding the baby, leaning toward the window and watching the officer.", "vocal_cues": "Tone is stiff and fake when joking, with obvious underlying threat.", "verbal_content": "Is everything alright, officer?"}}} {"unique_id": "9cEAnPUsQl8_T1_1_0", "video_id": "9cEAnPUsQl8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Male - Patient(Tom)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Patient(Tom)]. In the wood-paneled office, when he confronts [Blonde Female - Therapist(Lowenstein)], based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Patient(Tom)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Patient(Tom)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Patient(Tom)]", "affective_state": {"object": "[Blonde Female - Therapist(Lowenstein)]", "coarse_category": ["Anger"], "fine_description": "A volatile surge of righteous indignation and betrayal, fueling an explosive, aggressive rage intended to dominate the interaction.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, widened eyes, tense facial muscles, mouth open in a roar.", "body_language": "Leaves the desk, paces in a circle, leans forward aggressively, slams hands on the desk, waves arms violently.", "vocal_cues": "Loud, rapid, threatening tone.", "verbal_content": "You're a piece of work, Lowenstein! You know I come in here and I tell you everything, you withhold important piece of information from me!"}}} {"unique_id": "9f8liieRepk_T1_1_1", "video_id": "9f8liieRepk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Hair - Student]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Hair - Student]. In the classroom, when the student stands before the class to read a personal diary entry, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Hair - Student]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Hair - Student]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Hair - Student]", "affective_state": {"object": "[Pink Shirt - Teacher(Erin)]", "coarse_category": ["Sadness"], "fine_description": "Painful sadness recalling his family's eviction and the fear of having no home.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes cast down, lips trembling slightly, expression serious and heavy, occasionally closing eyes in pain.", "body_language": "Leaning slightly forward, hands gripping the diary tightly, posture appearing tense and vulnerable.", "vocal_cues": "Voice remains calm and steady, though occasionally carrying a slight tone of suppressed weeping.", "verbal_content": "This summer was the worst summer in my short 14 years of life. My mother was crying and begging, asking for more time. We were being evicted. I thought I'd have no home."}}} {"unique_id": "9f8liieRepk_T1_2_0", "video_id": "9f8liieRepk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Pink Shirt - Teacher(Erin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Pink Shirt - Teacher(Erin)]. In the classroom, when a student reads a diary entry to the class recounting a traumatic eviction but concluding with a message of finding sanctuary, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Pink Shirt - Teacher(Erin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Pink Shirt - Teacher(Erin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Pink Shirt - Teacher(Erin)]", "affective_state": {"object": "[Black Hair - Student]", "coarse_category": ["Relief"], "fine_description": "A deep sense of relief and emotional fulfillment.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth lifting slightly, eyes moist with tears, expression shifting from serious attention to a warm smile.", "body_language": "Stands still and upright with her arms at her sides, then gives a slight nod."}}} {"unique_id": "9tli2kwH5mY_T1_1_0", "video_id": "9tli2kwH5mY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Shirt - Fiancé(Jack)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt - Fiancé(Jack)]. In the luxury hotel, when [Blonde - Fiancée(Betsy)] returns and says she has to pack, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt - Fiancé(Jack)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt - Fiancé(Jack)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt - Fiancé(Jack)]", "affective_state": {"object": "[Blonde - Fiancée(Betsy)]", "coarse_category": ["Happiness", "Relief"], "fine_description": "A surge of happiness and relief at the prospect of escaping the situation.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Beaming smile, animated expression", "body_language": "Squats slightly, gestures hands forward in a celebrating motion, leans back and forth energetically", "vocal_cues": "Loud, excited, hopeful tone", "verbal_content": "We can leave? What did you work out?"}}} {"unique_id": "9u6xaK00otk_T1_1_1", "video_id": "9u6xaK00otk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Vest Male - Husband(Ethan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Vest Male - Husband(Ethan)]. After informing his wife about his partner's death, when she asks about the stolen money, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Vest Male - Husband(Ethan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Vest Male - Husband(Ethan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Vest Male - Husband(Ethan)]", "affective_state": {"object": "[Blonde Female - Wife(Beverly)]", "coarse_category": ["Disgust", "Frustration"], "fine_description": "A mix of intense disgust, contempt for her priorities, and deep disappointment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, pursing lips into a sarcastic smile", "body_language": "Turns body slowly to look at her, lowers head in silence", "vocal_cues": "Sighs with disappointment, sneers/laughs sarcastically", "verbal_content": "wow... wow took you less than 30 seconds to ask about the money"}}} {"unique_id": "9u6xaK00otk_T1_2_0", "video_id": "9u6xaK00otk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Wife(Beverly)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife(Beverly)]. In the living room, when she confesses that she gave their son away due to poverty, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife(Beverly)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife(Beverly)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife(Beverly)]", "affective_state": {"object": "[White Vest Male - Husband(Ethan)]", "coarse_category": ["Sadness"], "fine_description": "Heartbreak and wrongness mixed with deep longing for her son.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes reddening, tears welling up, corners of mouth trembling, pained expression", "body_language": "Body trembling slightly, hands clasped tight, touching chest", "vocal_cues": "Choking voice, slow tempo, crying tone", "verbal_content": "I needed the money so I could get my son back... so we could be a family... I'm so sorry."}}} {"unique_id": "9ykMeXdU_Ng_T1_1_1", "video_id": "9ykMeXdU_Ng", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Khaki Uniform - Officer(Frank)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Khaki Uniform - Officer(Frank)]. In the ship cabin, when Doug critiques Frank's character, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Khaki Uniform - Officer(Frank)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Khaki Uniform - Officer(Frank)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Khaki Uniform - Officer(Frank)]", "affective_state": {"object": "[Khaki Uniform - Officer(Doug)]", "coarse_category": ["Anger"], "fine_description": "Defensive anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed, mouth slightly open", "body_language": "Stands up abruptly, points finger emphatically at the floor or Doug to emphasize his point", "vocal_cues": "Emphatic tone, accelerated pace, raised volume", "verbal_content": "I am NOT I'm not disorganized... I finished god's little acre... done"}}} {"unique_id": "9ykMeXdU_Ng_T1_2_0", "video_id": "9ykMeXdU_Ng", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Khaki Uniform - Officer(Doug)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Khaki Uniform - Officer(Doug)]. In the ship cabin, when Doug recounts Frank's history of unfinished 'plots' to a third officer, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Khaki Uniform - Officer(Doug)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Khaki Uniform - Officer(Doug)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Khaki Uniform - Officer(Doug)]", "affective_state": {"object": "[Khaki Uniform - Officer(Frank)]", "coarse_category": ["Disgust"], "fine_description": "Disdain and mockery.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brief mocking smile", "body_language": "Turns body to address the other officer while narrating Frank's issues, then turns back to Frank", "vocal_cues": "(Tone) Scornful, provocative, sarcastic", "verbal_content": "that he lies in his sack all day long... bores me silly with great moronic plots... against the captain he's never carried... out one of them; no Frank you... haven't whatever happened to those... marbles you were gonna put on the... captain's overhead so they'd roll around... all night and keep him awake"}}} {"unique_id": "A6f-6l0W-0o_T1_1_0", "video_id": "A6f-6l0W-0o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Male - Founder(Mark Zuckerberg)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Male - Founder(Mark Zuckerberg)]. In a tense legal deposition, when the opposing lawyer challenges his engagement with the proceedings, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Male - Founder(Mark Zuckerberg)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Male - Founder(Mark Zuckerberg)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Male - Founder(Mark Zuckerberg)]", "affective_state": {"object": "[Gray Hair Male - Lawyer]", "coarse_category": ["Disgust", "Anger"], "fine_description": "A feeling of profound disdain and intellectual superiority.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Sharp gaze, slight smirk, tense but controlled facial muscles.", "body_language": "Leaning back slightly, hands resting on the table, posture relaxed but provocative, occasional finger tapping.", "vocal_cues": "Steady pace with a sarcastic tone, moderate volume but articulate and cutting.", "verbal_content": "You have the minimum amount of my attention. The rest of my attention is back at the offices of Facebook where my colleagues and I are doing things... no one in this room is intellectually or creatively capable of doing."}}} {"unique_id": "A8Tw5xASluI_T1_1_0", "video_id": "A8Tw5xASluI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Shirt - Boyfriend(Gary)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Shirt - Boyfriend(Gary)]. When he confronts [White Vest - Girlfriend(Brooke)] who is sketching on the floor, based on the subject's observed body language and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Shirt - Boyfriend(Gary)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Shirt - Boyfriend(Gary)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Shirt - Boyfriend(Gary)]", "affective_state": {"object": "[White Vest - Girlfriend(Brooke)]", "coarse_category": ["Anger"], "fine_description": "Territorial anger and indignation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Spreads arms wide to physically demarcate the boundaries of his territory.", "verbal_content": "I don't care if you only took an inch. There might not be a door here, but this is my domain, okay?"}}} {"unique_id": "A9l4z6VIc8s_T1_1_0", "video_id": "A9l4z6VIc8s", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Middle-aged Male - Musician]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Male - Musician]. When the woman introduces him to a room dedicated to his past achievements, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Male - Musician]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Male - Musician]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Male - Musician]", "affective_state": {"object": "[Brunette Female - Host]", "coarse_category": ["Anxiety"], "fine_description": "A blend of awkwardness, irritation, and self-protective sarcasm.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyebrows slightly raised, scrutinizing gaze, corner of mouth lifted in a self-deprecating smile.", "body_language": "Leaning forward slightly, shifting weight frequently, fiddling with small objects to relieve tension.", "vocal_cues": "(Flat, sarcastic tone), slow tempo with sharp enunciation.", "verbal_content": "I'm feeling a little cheap. I'm feeling a little used. I am."}}} {"unique_id": "A9qAaecuaFk_T1_2_0", "video_id": "A9qAaecuaFk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Light Coat Male - George]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Coat Male - George]. When Julianne and George arrive at the church, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Coat Male - George]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Coat Male - George]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Coat Male - George]", "affective_state": {"object": "[Older Male - Guest]", "coarse_category": ["Happiness"], "fine_description": "High-energy excitement and playful confidence.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Sticks tongue out briefly.", "body_language": "Stomps foot on the floor.", "vocal_cues": "Suddenly speaks loudly.", "verbal_content": "Hey, I'm Jules's fiancé George! Just in time for a quick pre-conjugal visit, if you catch my drift."}}} {"unique_id": "AHVKPC22iIY_T1_1_0", "video_id": "AHVKPC22iIY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Student(Rhiannon)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Student(Rhiannon)]. In a school hallway, when [Black Hair Male - Student(Justin)] addresses her concerns directly, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Student(Rhiannon)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Student(Rhiannon)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Student(Rhiannon)]", "affective_state": {"object": "[Black Hair Male - Student(Justin)]", "coarse_category": ["Happiness", "Embarrassment"], "fine_description": "A mix of relief, fluttery happiness, and bashfulness at the mutual affection.", "polarity": "Mixed", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Shy smile. Eyes averting gaze."}}} {"unique_id": "ANzFDUb2A48_T1_1_0", "video_id": "ANzFDUb2A48", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Shirt Male - Son]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Shirt Male - Son]. During breakfast, when his mother and her boyfriend break the news that he needs to move out and find his own apartment, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Shirt Male - Son]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Shirt Male - Son]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Shirt Male - Son]", "affective_state": {"object": "[Bald Male - Mother's Boyfriend], [Striped Sweater Female - Mother]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A sudden shock followed by defensive indignation and a sense of grievance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, eyes showing confusion and hurt, mouth slightly open, expression shifting from shock to dissatisfaction.", "body_language": "Leans forward with hands on the table, then raises hands in a defensive gesture to emphasize his stance.", "vocal_cues": "Accelerated speech rate, raised pitch, tone filled with questioning and protest.", "verbal_content": "What? Why would you say that? I need that safety net because I don't have my together. So like, what? Why are you doing this?"}}} {"unique_id": "ARD5AUnl7_M_T1_1_0", "video_id": "ARD5AUnl7_M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White-haired Male - Composer(Fred)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White-haired Male - Composer(Fred)]. In the indoor sitting room, when the Emissary persistently questions him about his refusal to perform for the Queen, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White-haired Male - Composer(Fred)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White-haired Male - Composer(Fred)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White-haired Male - Composer(Fred)]", "affective_state": {"object": "[Balding Male - Emissary]", "coarse_category": ["Anger"], "fine_description": "A sudden surge of defensive anger and frustration.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen, staring intensely at the man.", "body_language": "Leans forward.", "vocal_cues": "Voice pitch rises; commanding tone.", "verbal_content": "That's enough."}}} {"unique_id": "ARgghWSmq7Q_T1_1_0", "video_id": "ARgghWSmq7Q", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Overweight Male - Patient(Jack)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Overweight Male - Patient(Jack)]. In the hospital ward, when Jack wakes up, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Overweight Male - Patient(Jack)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Overweight Male - Patient(Jack)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Overweight Male - Patient(Jack)]", "affective_state": {"object": "[Overweight Male - Patient(Jack)]", "coarse_category": ["Fear", "Surprise"], "fine_description": "Panic and existential dread.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, eyes wide open, painful expression.", "vocal_cues": "Anxious tone, breathless, frantic delivery.", "verbal_content": "I this can't be... I I must be... dead I am... dead"}}} {"unique_id": "ARgghWSmq7Q_T1_2_1", "video_id": "ARgghWSmq7Q", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Overweight Male - Patient(Jack)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Overweight Male - Patient(Jack)]. In the hospital ward, when the doctor examines him and speaks to him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Overweight Male - Patient(Jack)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Overweight Male - Patient(Jack)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Overweight Male - Patient(Jack)]", "affective_state": {"object": "[Overweight Male - Patient(Jack)]", "coarse_category": ["Anxiety", "Fear"], "fine_description": "Nervous alarm at being sedated, anxious to convince the doctor he is fine.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes wide, eyebrows raised, mouth open, earnest look.", "body_language": "Springs up from the bed, raises a palm toward the doctor, gestures with an outstretched arm.", "vocal_cues": "Rapid, repetitive, breathless speech with an insistent tone.", "verbal_content": "I'm okay I'm okay I'm fine I'm fine I'm okay I'm um I'm just nervous in hospitals that's all"}}} {"unique_id": "ATxwkq1fkQQ_T1_1_0", "video_id": "ATxwkq1fkQQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Curly Hair Female - Housekeeper(Maudie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Curly Hair Female - Housekeeper(Maudie)]. When a customer visits the home and expresses a desire to purchase a painting, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Curly Hair Female - Housekeeper(Maudie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Curly Hair Female - Housekeeper(Maudie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Curly Hair Female - Housekeeper(Maudie)]", "affective_state": {"object": "[Blonde Curly Hair Female - Customer(Sandra)]", "coarse_category": ["Fear"], "fine_description": "Nervousness and apprehension about selling her work.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Frowning, mouth slightly open", "body_language": "Turns head to look at the man (questioning)", "vocal_cues": "(Constrained tone), quiet voice, unconfident", "verbal_content": "Yeah, I'm finished. Uh, well, I guess it's... It's everything that's pretty about all seasons."}}} {"unique_id": "Amq4kBfbqL8_T1_1_1", "video_id": "Amq4kBfbqL8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bearded Male - Principal]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bearded Male - Principal]. In the Principal's Office, when two student council members approach him to discuss the annual budget and handover procedures, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bearded Male - Principal]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bearded Male - Principal]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bearded Male - Principal]", "affective_state": {"object": "[Plaid Female - Student(Molly)], [Red Scarf Female - Student(Amy)]", "coarse_category": ["Frustration"], "fine_description": "A feeling of weariness and annoyance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling.", "body_language": "Leans on the desk, covers face briefly, then looks at the students.", "vocal_cues": "Sounds overly enthusiastic and greeting-like.", "verbal_content": "Hi~ Molly, Amy, what's shakin'?"}}} {"unique_id": "AnPDhq6O8jo_T1_1_0", "video_id": "AnPDhq6O8jo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - ExWife(Elise)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - ExWife(Elise)]. In the modern office space, when she enters with movers and instructs them to remove furniture, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - ExWife(Elise)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - ExWife(Elise)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - ExWife(Elise)]", "affective_state": {"object": "[Bespectacled Male - ExHusband(Bill)]", "coarse_category": ["Happiness"], "fine_description": "A sense of cold satisfaction, dominance, and vindication.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Stern and determined expression, chin slightly raised, exuding a triumphant attitude.", "body_language": "Steady pace, frequently using sharp gestures to direct workers, movements are fluid and aggressive.", "vocal_cues": "Steady, resolute tone with a hint of contemptuous mockery.", "verbal_content": "All of the good stuff goes... Junk. Here, take that desk too."}}} {"unique_id": "AnPDhq6O8jo_T1_2_1", "video_id": "AnPDhq6O8jo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bespectacled Male - ExHusband(Bill)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bespectacled Male - ExHusband(Bill)]. While watching his office being stripped, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bespectacled Male - ExHusband(Bill)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bespectacled Male - ExHusband(Bill)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bespectacled Male - ExHusband(Bill)]", "affective_state": {"object": "[Blonde Female - ExWife(Elise)]", "coarse_category": ["Anxiety"], "fine_description": "A mix of shock and anxiety regarding the financial and status loss.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, shifting eyes, attempting to look affectionate and innocent.", "body_language": "Spreads hands helplessly, leans forward trying to get closer for a conversation, but looks awkward in front of the movers.", "vocal_cues": "Urgent tone, carrying a sense of pleading and fabricated warmth.", "verbal_content": "Elise, this hurts me. I care about you... about the magic."}}} {"unique_id": "AyElzcvTVAQ_T1_1_0", "video_id": "AyElzcvTVAQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Protagonist(Iris)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Protagonist(Iris)]. In the living room, after she tells Jasper to leave, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Protagonist(Iris)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Protagonist(Iris)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Protagonist(Iris)]", "affective_state": {"object": "[Dark Haired Male - Ex-Lover(Jasper)]", "coarse_category": ["Happiness", "Relief"], "fine_description": "An overwhelming surge of liberation and euphoric relief, transitioning into triumphant joy.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes closed, wide open-mouth smile.", "body_language": "Raises hands in a gesture of victory, jumps excitedly, moves energetically.", "vocal_cues": "Screams/shouts to release pent-up emotion."}}} {"unique_id": "AyrP-pwDayE_T1_1_1", "video_id": "AyrP-pwDayE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Jacket Male - Husband(Jerry)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Jacket Male - Husband(Jerry)]. When the husband interrupts the women's group meeting to deliver a speech, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Jacket Male - Husband(Jerry)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Jacket Male - Husband(Jerry)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Jacket Male - Husband(Jerry)]", "affective_state": {"object": "[Blonde Female - Wife(Dorothy)]", "coarse_category": ["Anxiety", "Sadness"], "fine_description": "Vulnerable longing for his wife and nervous hope that she will take him back.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Moist eyes, brows slightly raised and drawn together, earnest unsmiling gaze, lips pressed between phrases.", "body_language": "Leaning forward slightly, hands open naturally, posture earnest and open.", "vocal_cues": "Voice slightly trembling, slow tempo, emotional tone.", "verbal_content": "I love you... You complete me"}}} {"unique_id": "AyrP-pwDayE_T1_2_0", "video_id": "AyrP-pwDayE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Wife(Dorothy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife(Dorothy)]. In the living room, when the husband confesses to her in front of friends, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife(Dorothy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife(Dorothy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife(Dorothy)]", "affective_state": {"object": "[Brown Jacket Male - Husband(Jerry)]", "coarse_category": ["Happiness"], "fine_description": "Deeply touched joy and emotional release.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, tearing up, happy smile.", "body_language": "Body trembling slightly, nodding tearfully towards husband.", "vocal_cues": "Weak, raspy voice with heavy nasal tone.", "verbal_content": "Shut up. Just shut up. You had me at hello."}}} {"unique_id": "AzDRxfa_vqE_T1_1_0", "video_id": "AzDRxfa_vqE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Male in White Traditional Outfit - Groom(Gede)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Male in White Traditional Outfit - Groom(Gede)]. During the wedding ceremony, when the groom interrupts the ritual to confront the bride's parents, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Male in White Traditional Outfit - Groom(Gede)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Male in White Traditional Outfit - Groom(Gede)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Male in White Traditional Outfit - Groom(Gede)]", "affective_state": {"object": "[Middle-aged Male in Black Suit - Father(David)]", "coarse_category": ["Sadness"], "fine_description": "A deep sense of loss and hurt channeled into a solemn ultimatum", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Direct gaze at the parents, solemn expression with a hint of melancholy.", "body_language": "Leaning slightly forward, hands clasped tightly, stiff posture.", "vocal_cues": "Low voice, slow tempo, trembling tone.", "verbal_content": "Mr Cotton, we needed your support, your blessing, and we don't have it... So I ask you please, for Lily and me... or we will not marry."}}} {"unique_id": "AzDRxfa_vqE_T1_2_1", "video_id": "AzDRxfa_vqE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Middle-aged Male in Black Suit - Father(David)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Male in Black Suit - Father(David)]. At the outdoor tropical garden wedding venue, after the groom's ultimatum, when the father stands up to address the couple, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Male in Black Suit - Father(David)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Male in Black Suit - Father(David)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Male in Black Suit - Father(David)]", "affective_state": {"object": "[Young Male in White Traditional Outfit - Groom(Gede)]", "coarse_category": ["Happiness"], "fine_description": "Feeling a sense of relief and warm joy", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Smiling, warm eyes, upturned corners of the mouth, relaxed expression.", "body_language": "Standing up, open posture, natural gestures.", "vocal_cues": "Relaxed tone, laughter, slow and warm delivery.", "verbal_content": "You don't need our blessing. You have it. It's here. What you two really need is each other."}}} {"unique_id": "B0QCH3EF5Hs_T1_1_0", "video_id": "B0QCH3EF5Hs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark-Haired Female - Fiancee]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-Haired Female - Fiancee]. In a kitchen during an apocalyptic event, while the [Curly-Haired Male - Fiance] stands over her rambling about his lack of control over the world, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-Haired Female - Fiancee]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-Haired Female - Fiancee]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-Haired Female - Fiancee]", "affective_state": {"object": "[Curly-Haired Male - Fiance]", "coarse_category": ["Disgust", "Anger"], "fine_description": "A mix of disgust and explosive anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, staring", "body_language": "Looking down, shaking head, banging a spoon against a bowl on the floor", "vocal_cues": "Screaming (annoyed tone)", "verbal_content": "Aaaaaaa"}}} {"unique_id": "B0sO3FekHUU_T1_1_0", "video_id": "B0sO3FekHUU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair - Protagonist(Nick)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair - Protagonist(Nick)]. When Frank refuses his request to stay at the house, based on the subject's observed body language and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair - Protagonist(Nick)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair - Protagonist(Nick)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair - Protagonist(Nick)]", "affective_state": {"object": "[Suit Glasses - Sponsor(Frank)]", "coarse_category": ["Sadness"], "fine_description": "A deep sense of vulnerability, betrayal, and pathetic despair.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Shaking head, frowning, sighing, hanging head in dejection", "vocal_cues": "Low voice, slow tempo, trembling with suppression and pleading tone"}}} {"unique_id": "B0sO3FekHUU_T1_2_1", "video_id": "B0sO3FekHUU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Suit Glasses - Sponsor(Frank)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Suit Glasses - Sponsor(Frank)]. When Nick confronts him and accuses him of exploiting his role as a sponsor, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Suit Glasses - Sponsor(Frank)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Suit Glasses - Sponsor(Frank)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Suit Glasses - Sponsor(Frank)]", "affective_state": {"object": "[Curly Hair - Protagonist(Nick)]", "coarse_category": ["Guilt"], "fine_description": "Shame and guilt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Shakes head slightly, leans on desk then stands up slightly, adjusting suit with both hands", "vocal_cues": "Quiet, feigning casualness", "verbal_content": "Come on, man. It wasn't like that, bud. She came to me for help. Look, I'm sorry."}}} {"unique_id": "B3thiUpvzKo_T1_1_1", "video_id": "B3thiUpvzKo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly-Haired Female - Granddaughter(Izzy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly-Haired Female - Granddaughter(Izzy)]. In the kitchen, when she insists that her grandmother sit down and listen to her defense of her single lifestyle, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly-Haired Female - Granddaughter(Izzy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly-Haired Female - Granddaughter(Izzy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly-Haired Female - Granddaughter(Izzy)]", "affective_state": {"object": "[Elderly Female - Grandmother(Bubbie)]", "coarse_category": ["Anger"], "fine_description": "Assertive anger and seriousness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes narrowed, mouth wide open in a shout.", "body_language": "Pulls out the chair and handles it heavily", "vocal_cues": "Emphatic tone on 'sit down'", "verbal_content": "Listen to me... sit down."}}} {"unique_id": "B3thiUpvzKo_T1_2_0", "video_id": "B3thiUpvzKo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Elderly Female - Grandmother(Bubbie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Elderly Female - Grandmother(Bubbie)]. In the kitchen, while the granddaughter lists her material and professional successes, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Elderly Female - Grandmother(Bubbie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Elderly Female - Grandmother(Bubbie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Elderly Female - Grandmother(Bubbie)]", "affective_state": {"object": "[Curly-Haired Female - Granddaughter(Izzy)]", "coarse_category": ["Disgust", "Anger"], "fine_description": "Dismissive contempt.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Frowning, corners of mouth pulled down", "body_language": "Shakes head from side to side", "vocal_cues": "Dismissive tone", "verbal_content": "Psh psh psh"}}} {"unique_id": "B5dzJwmACrI_T1_1_0", "video_id": "B5dzJwmACrI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Green Bandana Male - Prisoner(Biscuit)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Bandana Male - Prisoner(Biscuit)]. In the prison yard, when he receives his release papers from his friend Ray, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Bandana Male - Prisoner(Biscuit)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Bandana Male - Prisoner(Biscuit)]\",", " \"affective_state\": {", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Bandana Male - Prisoner(Biscuit)]", "affective_state": {"coarse_category": ["Fear"], "fine_description": "A profound dread of the future and anxiety about his inability to reintegrate into society.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Downturned mouth, grave expression, eventually forcing a smile at his friend's request", "body_language": "Nods and purses lips", "vocal_cues": "Slightly tearful tone", "verbal_content": "What am I gonna do out there Ray? I can't go home to my mama like this. I'm not like this right."}}} {"unique_id": "B6PpxrnttDg_T1_1_0", "video_id": "B6PpxrnttDg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Dress - Bride]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Dress - Bride]. During a wedding ceremony, when a man in a black leather jacket bursts into the room, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Dress - Bride]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Dress - Bride]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Dress - Bride]", "affective_state": {"object": "[Black Leather Jacket - Intruder]", "coarse_category": ["Surprise"], "fine_description": "A state of disbelief and astonishment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth wide open", "body_language": "Right hand placed on chest"}}} {"unique_id": "BGmXnidRtoA_T1_1_0", "video_id": "BGmXnidRtoA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Lawyer(Grey)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Lawyer(Grey)]. When the lawyer confronts the guardian about the child's welfare, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Lawyer(Grey)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Lawyer(Grey)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Lawyer(Grey)]", "affective_state": {"object": "[Long-haired Male - Guardian(Bill)]", "coarse_category": ["Anger"], "fine_description": "A mix of righteous indignation and defensive anger.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, tight lips.", "body_language": "Leaning forward, holding the bed rail, maintaining an imposing posture.", "vocal_cues": "Accelerated speech rate, raised pitch, questioning tone, voice trembling but attempting to remain firm.", "verbal_content": "What are you doing with that little girl? You're using her, aren't you? It's pathetic, it's criminal. If you love her, give her a chance."}}} {"unique_id": "BGmXnidRtoA_T1_2_1", "video_id": "BGmXnidRtoA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long-haired Male - Guardian(Bill)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Male - Guardian(Bill)]. When the woman blocks his exit and accuses him of abusing the girl he raised, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Male - Guardian(Bill)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Male - Guardian(Bill)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Male - Guardian(Bill)]", "affective_state": {"object": "[Blonde Female - Lawyer(Grey)]", "coarse_category": ["Anger"], "fine_description": "Intense defensive rage and a feeling of being deeply offended.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Hard, steady stare, brows lowered, jaw set.", "body_language": "Leaning forward, pointing finger, aggressive posture.", "vocal_cues": "Raised voice, fast pace, threatening tone.", "verbal_content": "I got nothing to lose but that kid. You try taking that kid away from me, I'm going to knock your damn head off."}}} {"unique_id": "BIfyebxopuM_T1_1_0", "video_id": "BIfyebxopuM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Striped Suit Male - Suitor(Buddy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Suit Male - Suitor(Buddy)]. Outside the club, when he stages a loud apology in front of the crowd as his date attempts to leave, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Suit Male - Suitor(Buddy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Suit Male - Suitor(Buddy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Suit Male - Suitor(Buddy)]", "affective_state": {"object": "[Short Hair Female - Date(Carla)]", "coarse_category": ["Guilt"], "fine_description": "Contrition at being in the wrong for his lateness, performed loudly to win the evening back.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Exaggerated aggrieved look, downturned mouth, frowning, feigned crying face", "body_language": "Kneeling on the ground, waving hands dramatically", "vocal_cues": "Shouting, crying tone, loud projection", "verbal_content": "You want me to beg? I'll get down on my knees. I'll beg you in front of all these people. Think I care if these people are watchin'? I'm sorry! I'm sorry! I want the world to know that I was late! And I'm sorry! My car ran outta gas. I needed fresh drawers. My mother's sick. The car broke down."}}} {"unique_id": "BLElh2JGufs_T1_1_0", "video_id": "BLElh2JGufs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Coat Female - Wife(Geneva)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Coat Female - Wife(Geneva)]. In the private dining room, when Ronnie threatens to tell Nick about the infidelity, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Coat Female - Wife(Geneva)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Coat Female - Wife(Geneva)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Coat Female - Wife(Geneva)]", "affective_state": {"object": "[Black Shirt Male - Friend(Ronnie)]", "coarse_category": ["Disgust"], "fine_description": "A core feeling of cold contempt and calculated malice, masked by a theatrical performance of distress and fear.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Instantly switches to a tearful expression, initially with a hint of a sneer, then quickly adjusting to a trembling victim's face.", "body_language": "Clasps hands against chest or chin, curling the body inward to project a fragile and helpless posture.", "vocal_cues": "Voice becomes shaky and tearful (trembling tone), adopting a soft, wounded quality while delivering threatening lines.", "verbal_content": "But Ronnie insisted that we not say anything... but Ronnie's gone crazy."}}} {"unique_id": "BYmHra1d_Nw_T1_1_0", "video_id": "BYmHra1d_Nw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Female - Heiress(Janet)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Female - Heiress(Janet)]. On the outdoor restaurant terrace, while Freddy recounts a backstory to the subject, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Female - Heiress(Janet)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Female - Heiress(Janet)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Female - Heiress(Janet)]", "affective_state": {"object": "[White Haired Male - Con Artist(Freddy)]", "coarse_category": ["Sadness", "Surprise"], "fine_description": "A mix of shock and deep empathetic sorrow.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, gazing intently at the man.", "body_language": "Hand resting on cheek.", "vocal_cues": "Slow tempo, heavy tone.", "verbal_content": "oh my god"}}} {"unique_id": "BcItLPDxHgQ_T1_1_1", "video_id": "BcItLPDxHgQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Updo Female - LadyInWaiting(Bess)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Updo Female - LadyInWaiting(Bess)]. In the Gothic palace hall, when the Queen interrogates the Lady-in-Waiting about her pregnancy and orders the arrest of her husband, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Updo Female - LadyInWaiting(Bess)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Updo Female - LadyInWaiting(Bess)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Updo Female - LadyInWaiting(Bess)]", "affective_state": {"object": "[Blue Dress Female - Queen(Elizabeth)]", "coarse_category": ["Fear"], "fine_description": "Intense fear and panic regarding the revelation of the truth.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, facial muscles tense", "body_language": "Hands placed in front in a defensive posture", "vocal_cues": "Low volume, trembling voice (tone)", "verbal_content": "Yes... My lady... It is... my husband's child."}}} {"unique_id": "BcItLPDxHgQ_T1_2_0", "video_id": "BcItLPDxHgQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blue Dress Female - Queen(Elizabeth)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Dress Female - Queen(Elizabeth)]. In the Gothic palace hall, when she interrogates the Lady-in-Waiting about her pregnancy and orders the arrest of her husband, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Dress Female - Queen(Elizabeth)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Dress Female - Queen(Elizabeth)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Dress Female - Queen(Elizabeth)]", "affective_state": {"object": "[Blonde Updo Female - LadyInWaiting(Bess)]", "coarse_category": ["Anger"], "fine_description": "Feelings of intense anger and offense.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, sharp gaze, corners of mouth depressed, facial muscles tense", "body_language": "Leaning forward, physically strikes the Lady-in-Waiting, imposing and oppressive posture", "vocal_cues": "Hysterical, deep and powerful voice, accelerated tempo, threatening tone", "verbal_content": "Tell me, is it true? Are you with child? You dare to keep secrets from me? You ask my permission before you... before you breathe my... wear my collars? Do you hear me? Do you hear me?"}}} {"unique_id": "Bi67DrL-P8Y_T1_1_1", "video_id": "Bi67DrL-P8Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red and Black Hoodie Male - Friend]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red and Black Hoodie Male - Friend]. When a man in a suit confirms via a news article that the blonde female player is actually the famous teenage poker champion 'Lucky 13', based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red and Black Hoodie Male - Friend]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red and Black Hoodie Male - Friend]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red and Black Hoodie Male - Friend]", "affective_state": {"object": "[Blonde Female - Abby]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "A surge of ecstatic surprise and admiration.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Beaming smile, mouth wide open in awe", "body_language": "Jumps up from seat abruptly, waves arms, hugs the person next to him excitedly", "vocal_cues": "Loud shouting, very high pitch, full of passion", "verbal_content": "Lucky 13 in the house! Lucky 13 in the house!"}}} {"unique_id": "Bi67DrL-P8Y_T1_2_0", "video_id": "Bi67DrL-P8Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Abby]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Abby]. During the gathering, when a man in a suit shows a news report to the group, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Abby]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Abby]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Abby]", "affective_state": {"object": "[Black Hoodie Male - Travis]", "coarse_category": ["Guilt"], "fine_description": "Feelings of guilt and anxious embarrassment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows raised and drawn together, eyes on the group, mouth open in an apologetic grimace", "body_language": "Sits still facing the group, head slightly tilted", "vocal_cues": "Fast speaking rate, voice slightly trembling", "verbal_content": "Guys, I'm sorry. I wasn't trying to hustle you guys or anything, I swear."}}} {"unique_id": "Bo-2-sJi7Uk_T1_1_0", "video_id": "Bo-2-sJi7Uk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly-haired Female - Defendant(Claudia)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly-haired Female - Defendant(Claudia)]. In the courtroom, when the prosecutor questions her about her trust issues and insists that her mother loves her, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly-haired Female - Defendant(Claudia)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly-haired Female - Defendant(Claudia)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly-haired Female - Defendant(Claudia)]", "affective_state": {"object": "[White-haired Male - Prosecutor(Macmillan)]", "coarse_category": ["Anger"], "fine_description": "Intense indignation, frustration, and a sense of grievance against the hypocrisy.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Clenched teeth, glaring eyes", "body_language": "Sighs, leans back, rolls eyes, then leans forward aggressively, waving arms while speaking", "vocal_cues": "Agitated, indignant, sharp tone, fast tempo", "verbal_content": "Of course she loves me. She told you that, didn't you hear? He wrote it down. Now you stand up, they're asking do you love your daughter..."}}} {"unique_id": "Bzd07cbr3y8_T1_1_1", "video_id": "Bzd07cbr3y8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray Haired Male - Visitor(Fred)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Haired Male - Visitor(Fred)]. When the Visitor enters the room to reunite with the Host and attempts to initiate a conversation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Haired Male - Visitor(Fred)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Haired Male - Visitor(Fred)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Haired Male - Visitor(Fred)]", "affective_state": {"object": "[Hair Bun Female - Host(Skyler)]", "coarse_category": ["Fear", "Guilt"], "fine_description": "Nervousness mixed with Guilt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Heavy brows, serious expression.", "body_language": "Hands in pockets, leaning forward slightly, pacing with head down, hesitant posture.", "vocal_cues": "Slow tempo.", "verbal_content": "I don't see you for almost two years and then... I don't know, I guess they say that you know that it's difficult at first and um..."}}} {"unique_id": "Bzd07cbr3y8_T1_2_0", "video_id": "Bzd07cbr3y8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Hair Bun Female - Host(Skyler)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Hair Bun Female - Host(Skyler)]. In the living room, when she keeps her back to the Visitor and busies herself with organizing items before stating she cannot continue the relationship, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Hair Bun Female - Host(Skyler)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Hair Bun Female - Host(Skyler)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Hair Bun Female - Host(Skyler)]", "affective_state": {"object": "[Gray Haired Male - Visitor(Fred)]", "coarse_category": ["Sadness"], "fine_description": "Sadness and Dissatisfaction.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth smiling but eyebrows lowered/sad.", "body_language": "Back turned to the Visitor, hands continuously organizing items; then turns sideways, avoiding direct confrontation.", "vocal_cues": "Flat tone initially.", "verbal_content": "Fine... no nothing. I'm sorry I just... I really am I I just can't do this everyone told me to wait but I I don't see the point."}}} {"unique_id": "C9bd80RJJNs_T1_1_3", "video_id": "C9bd80RJJNs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Short Hair - Middle Aged Male(Martin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Short Hair - Middle Aged Male(Martin)]. In a modern living room, when the woman announces she is leaving her partner, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Short Hair - Middle Aged Male(Martin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Short Hair - Middle Aged Male(Martin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Short Hair - Middle Aged Male(Martin)]", "affective_state": {"object": "[Blonde Short Hair - Female(Jessica)]", "coarse_category": ["Sadness"], "fine_description": "Sadness and pain.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Serious expression, eyes cast down, pursed lips.", "body_language": "Slight swaying of the body.", "vocal_cues": "Relaxed and natural tone.", "verbal_content": "You were heard. Yeah, yeah."}}} {"unique_id": "C9bd80RJJNs_T1_2_1", "video_id": "C9bd80RJJNs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Short Hair - Female(Jessica)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Short Hair - Female(Jessica)]. In the modern living room, after she announces she is leaving and the man reacts, based on the subject's observed facial expression, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Short Hair - Female(Jessica)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Short Hair - Female(Jessica)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Short Hair - Female(Jessica)]", "affective_state": {"object": "[Brown Short Hair - Middle Aged Male(Martin)]", "coarse_category": ["Surprise"], "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Lips trembling, eyes teary.", "vocal_cues": "Increased volume, emphatic tone.", "verbal_content": "I'm not kidding."}}} {"unique_id": "C9bd80RJJNs_T1_3_2", "video_id": "C9bd80RJJNs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Blonde Short Hair - Female(Jessica)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Short Hair - Female(Jessica)]. In the modern living room, when the man responds to the breakup by praising her beauty and kindness, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Short Hair - Female(Jessica)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Short Hair - Female(Jessica)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Short Hair - Female(Jessica)]", "affective_state": {"object": "[Brown Short Hair - Middle Aged Male(Martin)]", "coarse_category": ["Happiness"], "fine_description": "Brief happiness and touched feeling.", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Slight smile, looking down, appearing thoughtful or shy."}}} {"unique_id": "C9bd80RJJNs_T1_4_0", "video_id": "C9bd80RJJNs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 4, "known_fields": {"subject": "[Blonde Short Hair - Female(Jessica)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Short Hair - Female(Jessica)]. In the modern living room, when the man admits he is not a better person and focuses the conversation on his own feelings, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Short Hair - Female(Jessica)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Short Hair - Female(Jessica)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Short Hair - Female(Jessica)]", "affective_state": {"object": "[Brown Short Hair - Middle Aged Male(Martin)]", "coarse_category": ["Sadness"], "fine_description": "Sadness and disappointment", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes teary, mouth slightly open.", "body_language": "Staring at the man while turning to leave.", "verbal_content": "I feel sorry for you."}}} {"unique_id": "CEO9YAsxMfI_T1_1_0", "video_id": "CEO9YAsxMfI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Hair Female - Suspect(Rachel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Hair Female - Suspect(Rachel)]. During the interrogation, when Detective Riley dismisses her report and accuses her of obsession, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Hair Female - Suspect(Rachel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Hair Female - Suspect(Rachel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Hair Female - Suspect(Rachel)]", "affective_state": {"object": "[Suit Female - Detective(Riley)]", "coarse_category": ["Anger"], "fine_description": "An outburst of defensive anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Mouth wide open while yelling, tense facial muscles, tears visible on face.", "body_language": "Head shaking while speaking, agitated posture.", "vocal_cues": "Increased volume, rapid tempo, (shouting tone).", "verbal_content": "I came here trying to help you he just assaulted me in my own house"}}} {"unique_id": "CFvt6Eg3wvA_T1_1_0", "video_id": "CFvt6Eg3wvA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Redhead - PregnantWife(Ashley)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead - PregnantWife(Ashley)]. During a social conversation at the dinner table, as she listens to Madeleine describe her cosmopolitan upbringing and family history, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead - PregnantWife(Ashley)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead - PregnantWife(Ashley)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead - PregnantWife(Ashley)]", "affective_state": {"object": "[Brunette - ArtDealer(Madeleine)]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "A feeling of astonishment at the revelation, mixed with delighted fascination with such a rich life experience.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling, mouth slightly open", "body_language": "Body leans back slightly, reduced hand movements, posture appears slightly stiff", "vocal_cues": "Slower tempo, impressed tone", "verbal_content": "Wow."}}} {"unique_id": "CG5u_fJEFFs_T1_1_0", "video_id": "CG5u_fJEFFs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Daughter(Camille)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Daughter(Camille)]. On the porch, when Alan accuses her of making her mother ill, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Daughter(Camille)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Daughter(Camille)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Daughter(Camille)]", "affective_state": {"object": "[Glasses Male - Father(Alan)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A mix of deep sadness and defensive anger.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Short scoff followed by stiff facial muscles, trembling corners of the mouth.", "body_language": "Arms crossed over chest, leaning back slightly in a defensive posture, finally turning away from him.", "vocal_cues": "Scoff with breathy sound, followed by slowed speech, lower volume, and trembling voice.", "verbal_content": "And to think that... I used to regret that we didn't commune."}}} {"unique_id": "CG5u_fJEFFs_T1_2_1", "video_id": "CG5u_fJEFFs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Glasses Male - Father(Alan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses Male - Father(Alan)]. On the outdoor porch, when Alan speaks to Camille after she joins him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses Male - Father(Alan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses Male - Father(Alan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses Male - Father(Alan)]", "affective_state": {"object": "[Blonde Female - Daughter(Camille)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Stern moral indignation mixed with cold contempt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, downturned mouth, sharp gaze.", "body_language": "Reclining in the wicker chair, frequent hand gestures emphasizing points.", "vocal_cues": "Low pitch, steady rhythm but full of threat.", "verbal_content": "Listen, you're making your mother ill... I know how jealous you've always been..."}}} {"unique_id": "CHs36bNm7xk_T1_1_1", "video_id": "CHs36bNm7xk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Turtleneck - Son(Evan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Turtleneck - Son(Evan)]. During Christmas dinner, when the son makes comments about home repairs and resale value, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Turtleneck - Son(Evan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Turtleneck - Son(Evan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Turtleneck - Son(Evan)]", "affective_state": {"object": "[Navy Sweater - Father(Walter)]", "coarse_category": ["Anger"], "fine_description": "Feels a surge of intense frustration and anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, tight lips, tense facial muscles.", "body_language": "Leans forward, gulps his drink and sets the glass down, then tosses papers onto the table.", "vocal_cues": "Tone full of sarcasm, volume rising, aggressive and demanding intonation.", "verbal_content": "Tell them Pop. Tell everybody what it is you're talking about."}}} {"unique_id": "CHs36bNm7xk_T1_2_0", "video_id": "CHs36bNm7xk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Navy Sweater - Father(Walter)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Navy Sweater - Father(Walter)]. When the secret of the house sale is exposed and the children confront him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Navy Sweater - Father(Walter)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Navy Sweater - Father(Walter)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Navy Sweater - Father(Walter)]", "affective_state": {"object": "[Black Turtleneck - Son(Evan)]", "coarse_category": ["Embarrassment"], "fine_description": "Feels exposed and ashamed that his secret sale of the house has come out.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Wide eyes, furrowed brows, gritting teeth, face flushed with anger.", "body_language": "Slams the table violently, body shaking, stays seated.", "vocal_cues": "Screaming hoarsely, volume at peak, extremely hard and commanding tone.", "verbal_content": "IT'S MY HOUSE!"}}} {"unique_id": "CeluWaT654I_T1_1_0", "video_id": "CeluWaT654I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses Male - Curator(Bobby)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses Male - Curator(Bobby)]. When he is informed by [Bald Male - Colleague] and the board that his Lincoln exhibit is being canceled, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses Male - Curator(Bobby)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses Male - Curator(Bobby)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses Male - Curator(Bobby)]", "affective_state": {"object": "[Bald Male - Colleague]", "coarse_category": ["Anger", "Sadness"], "fine_description": "Intense anger mixed with manic despair and frustration.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Manic laughter", "body_language": "Swaying body, waving arms", "vocal_cues": "Manic laughter, shouting, sarcastic tone", "verbal_content": "Okay, you want to put Lincoln back in the closet? Fine, I'll put him back in the closet. I'll put him back in the closet."}}} {"unique_id": "CyFSAzwLtPk_T1_1_0", "video_id": "CyFSAzwLtPk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Male - Writer(Larry)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Writer(Larry)]. In the modern office building lobby, while arguing with a woman about social etiquette, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Writer(Larry)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Writer(Larry)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Writer(Larry)]", "affective_state": {"object": "[Short Hair Female - Woman]", "coarse_category": ["Frustration", "Sadness"], "fine_description": "He feels unfairly judged and baffled.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows knitted in a frown", "body_language": "Spreading hands palms up in a gesture of appeal", "vocal_cues": "Slow tempo, stuttering with pauses, tone of helplessness", "verbal_content": "but yeah you can't argue with the distance though that's a that's a big factor"}}} {"unique_id": "D66bIlg2-Gs_T1_1_0", "video_id": "D66bIlg2-Gs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Secretary(Selina)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Secretary(Selina)]. In the dimly lit office, when [Gray Male - Boss(Max)] corners her, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Secretary(Selina)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Secretary(Selina)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Secretary(Selina)]", "affective_state": {"object": "[Gray Male - Boss(Max)]", "coarse_category": ["Fear"], "fine_description": "Overwhelming fear and helplessness", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Dilated pupils, terrified gaze, lips slightly parted, tense facial muscles", "body_language": "Stepping backward, attempting to maintain distance", "vocal_cues": "Accelerated tempo, rising pitch, trembling tone with a crying quality", "verbal_content": "Listen, it's our secret, honest. How can you be so mean to someone so meaningless?"}}} {"unique_id": "DEX-5gM0P8I_T1_1_0", "video_id": "DEX-5gM0P8I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Middle-aged Man in Suit - Defendant]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Man in Suit - Defendant]. When the defense lawyer explains the risky legal strategy to the defendant, based on the subject's observed facial expression, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Man in Suit - Defendant]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Man in Suit - Defendant]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Man in Suit - Defendant]", "affective_state": {"object": "[Young Man in Black Suit - Defense Lawyer(Kevin)]", "coarse_category": ["Relief", "Embarrassment"], "fine_description": "A sense of dawning realization and relief, mixed with awkward amusement at his previous doubt.", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Shows a brief smile.", "body_language": "Nods to affirm the lawyer.", "vocal_cues": "Gentle tone, forming a strong contrast with previous anger.", "verbal_content": "Why didn't you say something before?"}}} {"unique_id": "DJTF3NmqF7U_T1_1_0", "video_id": "DJTF3NmqF7U", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Hair - Woman(Michelle)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Hair - Woman(Michelle)]. In the dimly lit storage room, when [Grey Beard - Captor(Howard)] says 'I accept your apology' after [Blue Shirt - Man(Emmett)] intervenes and takes full blame, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Hair - Woman(Michelle)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Hair - Woman(Michelle)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Hair - Woman(Michelle)]", "affective_state": {"object": "[Grey Beard - Captor(Howard)]", "coarse_category": ["Relief"], "fine_description": "A profound sense of relief and release of pent-up terror.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Closes eyes", "body_language": "Body relaxes, lets out a sigh"}}} {"unique_id": "DMo2qyKq4_w_T1_1_0", "video_id": "DMo2qyKq4_w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Wife(Molly)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife(Molly)]. In the bedroom, when Carl arrives home and announces that his friend Dupree will be moving in with them temporarily, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife(Molly)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife(Molly)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife(Molly)]", "affective_state": {"object": "[Male in Light Blue Shirt - Husband(Carl)]", "coarse_category": ["Anger"], "fine_description": "A surge of disbelief and frustration evolving into anger.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning brows, sharp gaze, lips slightly parted, tense facial muscles", "body_language": "Leaning forward, raising hands in emphatic gestures, sitting in a tense posture", "vocal_cues": "Accelerated speech rate, raised pitch, questioning tone", "verbal_content": "Dupree? Live with us? ... How does that happen?"}}} {"unique_id": "DMo2qyKq4_w_T1_2_1", "video_id": "DMo2qyKq4_w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Male in Light Blue Shirt - Husband(Carl)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Male in Light Blue Shirt - Husband(Carl)]. In the bedroom, after Carl arrives home and announces that his friend Dupree will be moving in, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Male in Light Blue Shirt - Husband(Carl)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Male in Light Blue Shirt - Husband(Carl)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Male in Light Blue Shirt - Husband(Carl)]", "affective_state": {"object": "[Blonde Female - Wife(Molly)]", "coarse_category": ["Guilt"], "fine_description": "A deep sense of guilt and regret.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes cast down, slight frown, corners of mouth turned down, regretful expression", "body_language": "Subtle and uneasy hand movements, leaning slightly forward, attempting to explain", "vocal_cues": "Slowed speech rate, lowered pitch, apologetic and pleading tone", "verbal_content": "Okay, look, you're right. I screwed up. I did this all wrong. And I'm sorry. I should have called first. You know what? Maybe I should just give him some money for the show. Or a motel."}}} {"unique_id": "DlwuwiBLAmM_T1_1_1", "video_id": "DlwuwiBLAmM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Woman in Red Hat - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Woman in Red Hat - Mother]. When the mother and sister visit Maggie in the hospital, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Woman in Red Hat - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Woman in Red Hat - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Woman in Red Hat - Mother]", "affective_state": {"object": "[Bedridden Female - Maggie]", "coarse_category": ["Neutral"], "fine_description": "Calculated indifference.", "polarity": "Neutral", "intensity": "None"}, "affective_manifestation": {"body_language": "Leans forward close to the bed, gently strokes her daughter's hair.", "vocal_cues": "Gentle, coaxing tone", "verbal_content": "You've been a good daughter, Maggie. You sign that paper, it'll take care of your family the way your daddy would've wanted you to. Uh..."}}} {"unique_id": "DlwuwiBLAmM_T1_2_0", "video_id": "DlwuwiBLAmM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bedridden Female - Maggie]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bedridden Female - Maggie]. In the hospital ward, when the family pressures her to sign the papers, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bedridden Female - Maggie]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bedridden Female - Maggie]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bedridden Female - Maggie]", "affective_state": {"object": "[Woman in Red Hat - Mother]", "coarse_category": ["Sadness"], "fine_description": "A complex mix of sadness, disappointment, and disgust.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes wide, mouth slightly open", "vocal_cues": "Weak, questioning tone", "verbal_content": "Did you see the fight, Mama?"}}} {"unique_id": "Dwiczhta4e0_T1_1_0", "video_id": "Dwiczhta4e0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit Female - Girlfriend(Christy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Female - Girlfriend(Christy)]. During the confrontation in the bedroom, when Eduardo offers an excuse regarding his relationship status, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Female - Girlfriend(Christy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Female - Girlfriend(Christy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Female - Girlfriend(Christy)]", "affective_state": {"object": "[Light Shirt Male - Boyfriend(Eduardo)]", "coarse_category": ["Anger"], "fine_description": "Intense indignation and anger fueled by a sense of betrayal.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, look of severe skepticism", "body_language": "Leaning forward, tilting head, questioning posture", "vocal_cues": "Accelerated speech rate (tone)", "verbal_content": "do I look stupid to you ... you're asking me to believe that the CFO of Facebook doesn't know how to change his relationship status on Facebook ... no you didn't change it so you could screw those Silicon Valley every time you got..."}}} {"unique_id": "E6O11dvIjkE_T1_1_0", "video_id": "E6O11dvIjkE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Tank Top Female - Girlfriend(Yvette)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Tank Top Female - Girlfriend(Yvette)]. While Jody is playing dominos with friends in the backyard, when Jody offers a casual greeting and continues playing, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Tank Top Female - Girlfriend(Yvette)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Tank Top Female - Girlfriend(Yvette)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Tank Top Female - Girlfriend(Yvette)]", "affective_state": {"object": "[Bald Black Male - Boyfriend(Jody)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A mix of deep sadness, grief, and anger at his negligence.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Looking down, pouting", "body_language": "Standing up abruptly, moving chair, walking away quickly, holding back tears"}}} {"unique_id": "ECirl_sSf-M_T1_1_0", "video_id": "ECirl_sSf-M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Female - Wife(Linda)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Female - Wife(Linda)]. In the theater auditorium, when Cole suggests they move to Hollywood, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Female - Wife(Linda)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Female - Wife(Linda)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Female - Wife(Linda)]", "affective_state": {"object": "[Man in Suit - Husband(Cole)]", "coarse_category": ["Sadness", "Happiness"], "fine_description": "A complex blend of deep grief and bittersweet gratitude", "polarity": "Mixed", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed, smiling with teeth visible, lips slightly pursed, eyes closed", "body_language": "Body trembling, head shaking slightly"}}} {"unique_id": "EOyAHaO7lwA_T1_1_0", "video_id": "EOyAHaO7lwA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Male - Con Artist(Freddy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Male - Con Artist(Freddy)]. In the train dining car, when he tells the passenger a story about his grandmother, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Male - Con Artist(Freddy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Male - Con Artist(Freddy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Male - Con Artist(Freddy)]", "affective_state": {"object": "[Short-haired Female - Victim]", "coarse_category": ["Neutral"], "fine_description": "A state of detached focus and internal neutrality.", "polarity": "Neutral", "intensity": "None"}, "affective_manifestation": {"facial_expression": "Smiling while speaking, teary eyes, pursing lips", "body_language": "Head bobbing", "vocal_cues": "Sincere tone, slightly choked up", "verbal_content": "I'm saving my money for something special... my grandmother is a wonderful woman... she has a laugh that can make the bird sing... but she's been quite ill lately..."}}} {"unique_id": "EZGXCDJATDs_T1_1_0", "video_id": "EZGXCDJATDs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Cap Male - Son]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Cap Male - Son]. When receiving the news that his father cancels the trip at the last minute, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Cap Male - Son]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Cap Male - Son]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Cap Male - Son]", "affective_state": {"object": "[Black Beanie Male - Father(Lou)]", "coarse_category": ["Sadness"], "fine_description": "A deep sense of disappointment and hurt.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Lips pressed tight, smiling", "body_language": "Continuous nodding", "vocal_cues": "Relaxed, agreeable tone", "verbal_content": "Yeah that's cool, I understand. Whatever, whatever, yeah yeah."}}} {"unique_id": "EcDcNDlil_A_T1_1_1", "video_id": "EcDcNDlil_A", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Mustached Male - Husband]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Mustached Male - Husband]. In the luxury hotel room, when the husband confronts the wife and physically forces her to strike him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Mustached Male - Husband]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Mustached Male - Husband]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Mustached Male - Husband]", "affective_state": {"object": "[Blonde Female - Wife]", "coarse_category": ["Sadness", "Frustration"], "fine_description": "A manic and intense sense of desperation, driving a need to externalize internal pain.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Manic eyes with a provocative gaze, clenched jaw, stiff facial muscles", "body_language": "Aggressively approaching, roughly grabbing her hand and forcing it against his face", "vocal_cues": "Rapid, broken tone with a shouting, commanding quality (frantic)", "verbal_content": "Do you want to hurt me? Huh? Hurt me. Just do it. Get it over with."}}} {"unique_id": "EcDcNDlil_A_T1_2_0", "video_id": "EcDcNDlil_A", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Wife]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife]. After the physical confrontation, when she is left alone in the bathroom, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife]", "affective_state": {"object": "[Mustached Male - Husband]", "coarse_category": ["Sadness", "Fear"], "fine_description": "A crushing mix of sadness and fear.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Red-rimmed eyes, trembling lips, look of despair", "body_language": "Hands covering face, then tightly scratching at her own hair and scalp, body shaking", "vocal_cues": "Intermittent sobbing accompanied by deep, painful gasps"}}} {"unique_id": "Ekl021fmWGc_T1_1_0", "video_id": "Ekl021fmWGc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue T-shirt - Student(Jake)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue T-shirt - Student(Jake)]. In a grocery store, when the student confesses to the coach that he lied about his initial reasons for wanting to train, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue T-shirt - Student(Jake)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue T-shirt - Student(Jake)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue T-shirt - Student(Jake)]", "affective_state": {"object": "[Green Striped Shirt - Coach(Roqua)]", "coarse_category": ["Guilt"], "fine_description": "Feelings of guilt, shame, and nervousness", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes darting, lips slightly parted, expression tense and uneasy", "body_language": "Leaning forward slightly, slight trembling", "vocal_cues": "Slightly hesitant, tone trembling (shaky voice)", "verbal_content": "I lied the first class I had every intention of fighting outside the jail. I lied because I wanted to pound on the guy that was pounding on me."}}} {"unique_id": "Ekl021fmWGc_T1_2_1", "video_id": "Ekl021fmWGc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blue T-shirt - Student(Jake)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue T-shirt - Student(Jake)]. After the student confesses and the coach questions if that is his apology, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue T-shirt - Student(Jake)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue T-shirt - Student(Jake)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue T-shirt - Student(Jake)]", "affective_state": {"object": "[Green Striped Shirt - Coach(Roqua)]", "coarse_category": ["Anger"], "fine_description": "Extreme anger and frustration", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Gritting teeth, facial muscles twitching, eyes wide and staring intensely", "body_language": "Leaning forward significantly, breathing heavily with anger", "vocal_cues": "Very fast speech rate, raised volume", "verbal_content": "I lied because I'm pissed off. Because I'm angry all the time."}}} {"unique_id": "Ekl021fmWGc_T1_3_2", "video_id": "Ekl021fmWGc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Blue T-shirt - Student(Jake)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue T-shirt - Student(Jake)]. When the student reveals the details regarding his father's death to the coach, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue T-shirt - Student(Jake)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue T-shirt - Student(Jake)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue T-shirt - Student(Jake)]", "affective_state": {"object": "[Green Striped Shirt - Coach(Roqua)]", "coarse_category": ["Guilt", "Sadness"], "fine_description": "Deep pain, remorse, and self-blame", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes cast down, a fleeting pained half-smile", "body_language": "Shaking head slightly", "vocal_cues": "Hoarse, trembling, obvious crying tone", "verbal_content": "I just had to say no and I blew it that's all I needed to do and I couldn't and my dad he was it's completely wasted he was tanked he he wanted to drive"}}} {"unique_id": "ErsOuLChlyU_T1_1_0", "video_id": "ErsOuLChlyU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey-Haired Male - Employer(Mr. Masry)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey-Haired Male - Employer(Mr. Masry)]. In the law firm office, when [Blonde Female - Job Seeker(Erin)] confronts him regarding his failure to return her calls, based on the subject's observed vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey-Haired Male - Employer(Mr. Masry)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey-Haired Male - Employer(Mr. Masry)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey-Haired Male - Employer(Mr. Masry)]", "affective_state": {"object": "[Blonde Female - Job Seeker(Erin)]", "coarse_category": ["Fear"], "fine_description": "A mix of surprise, guilt, and nervousness.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"vocal_cues": "Slight stutter", "verbal_content": "You did well, I didn't know that."}}} {"unique_id": "EvpwbdkhdnA_T1_1_0", "video_id": "EvpwbdkhdnA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Redhead Female - Daughter(Shiv)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Daughter(Shiv)]. During the high-stakes discussion regarding the future of the family company, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Daughter(Shiv)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Daughter(Shiv)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Daughter(Shiv)]", "affective_state": {"object": "[White Hair Male - Father(Logan)]", "coarse_category": ["Anger"], "fine_description": "Cold, long-standing resentment toward her father over what the family business has cost her.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyebrows slightly raised, gaze steady on her father, facial muscles relaxed.", "body_language": "Pacing the room, hands initially behind back then leaning on the cabinet, posture appears open and frank.", "vocal_cues": "Moderate tempo.", "verbal_content": "I'll take my money. Five years' time, I'd like to be free of this company and the Roy name."}}} {"unique_id": "EvpwbdkhdnA_T1_2_1", "video_id": "EvpwbdkhdnA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Hair Male - Father(Logan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Hair Male - Father(Logan)]. During the negotiation, when the daughter says she would sell, take her money and be free of the company and the Roy name, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Hair Male - Father(Logan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Hair Male - Father(Logan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Hair Male - Father(Logan)]", "affective_state": {"object": "[Redhead Female - Daughter(Shiv)]", "coarse_category": ["Anger"], "fine_description": "A mix of calculating assessment and simmering anger.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Scrutinizing gaze, lips pressed tight, facial muscles stiff.", "body_language": "Leaning back, hands relaxed on sofa armrests, posture appears detached.", "vocal_cues": "Raspy, low voice, slow tempo, heavy emphasis on words, warning tone.", "verbal_content": "This company means a lot to me"}}} {"unique_id": "Ewpzngfnvcc_T1_1_1", "video_id": "Ewpzngfnvcc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Daughter(Jesse)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Daughter(Jesse)]. Inside the wooden house, when her father takes the tapes, says he is going to burn them and walks out, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Daughter(Jesse)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Daughter(Jesse)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Daughter(Jesse)]", "affective_state": {"object": "[Grey-Haired Male - Father]", "coarse_category": ["Fear", "Sadness"], "fine_description": "A mix of sheer terror and despair.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide and filled with tears, mouth open in a scream, facial muscles tense with panic.", "body_language": "Reaching forward desperately, body trembling violently, struggling against her physical limitations.", "vocal_cues": "Screaming, incoherent yelling.", "verbal_content": "Dad no no no dad dad"}}} {"unique_id": "Ewpzngfnvcc_T1_2_0", "video_id": "Ewpzngfnvcc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Daughter(Jesse)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Daughter(Jesse)]. At her father's funeral, when an old friend approaches her to reconnect, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Daughter(Jesse)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Daughter(Jesse)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Daughter(Jesse)]", "affective_state": {"object": "[Brunette Male - Friend(Preston)]", "coarse_category": ["Sadness"], "fine_description": "Deep grief compounded by the awkwardness of explaining her helplessness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiles wryly with eyes on him while explaining, glances down briefly, then a soft warm smile.", "body_language": "Sitting in a wheelchair, leaning back slightly, avoiding excessive movement.", "vocal_cues": "Slow tempo, voice slightly trembling but steady (tone).", "verbal_content": "I'm sorry my my dad's phone is upstairs and it's going to be a few more weeks before I can walk upstairs to answer it. It's really good to see you Preston"}}} {"unique_id": "FF374xT3k6k_T1_1_0", "video_id": "FF374xT3k6k", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Floral Dress Female - Customer(Kelsey)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Floral Dress Female - Customer(Kelsey)]. During the restaurant visit, when the waiter waits on the table with detached professionalism, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Floral Dress Female - Customer(Kelsey)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Floral Dress Female - Customer(Kelsey)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Floral Dress Female - Customer(Kelsey)]", "affective_state": {"object": "[Blue Shirt Male - Waiter(Scott)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A mix of angry frustration and underlying sadness from feeling rejected and unimportant.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowns slightly, rolls eyes.", "body_language": "Stands up, leaves the seat, and walks out."}}} {"unique_id": "FGLxQHJ5NEs_T1_1_0", "video_id": "FGLxQHJ5NEs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Striped Shirt Male - Civilian(Paul)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Striped Shirt Male - Civilian(Paul)]. In the office, when the General orders the Civilian to evacuate to a new headquarters immediately, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Striped Shirt Male - Civilian(Paul)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Striped Shirt Male - Civilian(Paul)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Striped Shirt Male - Civilian(Paul)]", "affective_state": {"object": "[Camouflage Uniform Male - General(Bizimungu)]", "coarse_category": ["Fear"], "fine_description": "Desperate fear for his family's safety.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Sweating on forehead, terrified eyes, frowning, distorted facial features", "body_language": "Steps forward slightly, leans upper body forward", "vocal_cues": "Accelerated speech rate, rising pitch, urgent pleading tone", "verbal_content": "we must go back so that I can get my family"}}} {"unique_id": "FGLxQHJ5NEs_T1_2_1", "video_id": "FGLxQHJ5NEs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Camouflage Uniform Male - General(Bizimungu)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Camouflage Uniform Male - General(Bizimungu)]. In the office, when the Civilian warns him about being on a list of war criminals, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Camouflage Uniform Male - General(Bizimungu)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Camouflage Uniform Male - General(Bizimungu)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Camouflage Uniform Male - General(Bizimungu)]", "affective_state": {"object": "[Blue Striped Shirt Male - Civilian(Paul)]", "coarse_category": ["Anger"], "fine_description": "Annoyance and anger at the perceived deception.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning", "body_language": "Tilts head looking sideways at opponent, leans body forward, points finger at the Civilian, oppressive posture", "vocal_cues": "Threatening tone", "verbal_content": "Paul I am sick and tired of your lies"}}} {"unique_id": "FKYUhZYi6jU_T1_1_0", "video_id": "FKYUhZYi6jU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray Curly Hair Female - Fan(Lou)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Curly Hair Female - Fan(Lou)]. In the crowded fan area outside the stadium, when she realizes her tickets are lost and learns there is no lost and found, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Curly Hair Female - Fan(Lou)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Curly Hair Female - Fan(Lou)]\",", " \"affective_state\": {", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Curly Hair Female - Fan(Lou)]", "affective_state": {"coarse_category": ["Sadness"], "fine_description": "She feels a deep sense of hopelessness and disappointment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Knitted brows, reddened eyes, trembling lips, pained expression.", "body_language": "Leaning forward, hands trembling slightly, touching forehead occasionally.", "vocal_cues": "Trembling voice, accelerated tempo, crying tone.", "verbal_content": "no no the tickets are lost... I don't think it's going to work out"}}} {"unique_id": "FKv99t6cFCI_T1_1_1", "video_id": "FKv99t6cFCI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Male - Son(David)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Male - Son(David)]. When the son confronts his father about the family's past, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Male - Son(David)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Male - Son(David)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Male - Son(David)]", "affective_state": {"object": "[Grey Hair Male - Father(Max)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A mix of righteous indignation and deep emotional wounding.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Red eyes, eyes full of painful questioning, face flushed from agitation.", "body_language": "Body tense, turning violently in the hallway to face the father, waving arms significantly to accuse.", "vocal_cues": "Fast pace, raised volume, tone of questioning and accusation.", "verbal_content": "I grew up in this house, Dad! I was the one you kicked in the ass for 20 years!"}}} {"unique_id": "FKv99t6cFCI_T1_2_0", "video_id": "FKv99t6cFCI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Grey Hair Male - Father(Max)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Hair Male - Father(Max)]. When the father faces an interrogation from his son regarding his marital fidelity, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Hair Male - Father(Max)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Hair Male - Father(Max)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Hair Male - Father(Max)]", "affective_state": {"object": "[Curly Hair Male - Son(David)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Defensive rage mixed with contempt for the son's sentimental judgment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes sharp and hostile, lips trembling and clenched.", "body_language": "Leaning on the fridge, turns to David, then turns away, slams the fridge door and walks out of the kitchen.", "vocal_cues": "Volume explodes, tone becomes extremely rude and irritable.", "verbal_content": "That's none of your goddamn business!"}}} {"unique_id": "FL0ZoQUDTDo_T1_1_0", "video_id": "FL0ZoQUDTDo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother(Cora)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother(Cora)]. When the Mailman confronts her in the backyard and reveals he has been monitoring her family, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother(Cora)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother(Cora)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother(Cora)]", "affective_state": {"object": "[Uniformed Male - Mailman(Chet)]", "coarse_category": ["Fear"], "fine_description": "A state of panic, denial, and overwhelming terror.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed tightly, eyes widened in shock, mouth clamped shut.", "body_language": "Stepping backward, placing one hand protectively over her chest, shaking her head violently.", "vocal_cues": "Trembling tone.", "verbal_content": "No, no..."}}} {"unique_id": "FN9EO0boGFk_T1_1_0", "video_id": "FN9EO0boGFk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit - Legendary Singer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit - Legendary Singer]. In a parking lot, when the [Cowboy Hat - Band Leader] approaches him and asks him to listen to his band, based on the subject's observed facial expressions and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit - Legendary Singer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit - Legendary Singer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit - Legendary Singer]", "affective_state": {"object": "[Cowboy Hat - Band Leader]", "coarse_category": ["Disgust"], "fine_description": "A state of detached indifference and mild disdain toward the fan's eagerness.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Deadpan, expressionless face behind dark sunglasses, mouth flat.", "verbal_content": "Who wants to know? ... Sure, sure. Why don't you go ahead and get started and I'll be along in a minute. Great."}}} {"unique_id": "FSAcm6Kb7bk_T1_1_0", "video_id": "FSAcm6Kb7bk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Suit Male - Partner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Suit Male - Partner]. In the living room, when he confesses to the female partner that he traded her personal flash drive for money, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Suit Male - Partner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Suit Male - Partner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Suit Male - Partner]", "affective_state": {"object": "[Redhead Female - Partner]", "coarse_category": ["Guilt", "Fear"], "fine_description": "Guilt over the betrayal mixed with anxiety about the impending conflict", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Shifting gaze, corners of mouth slightly downturned, attempting to maintain composure but looking tense", "body_language": "Leaning forward, spreading hands to explain, posture slightly defensive", "vocal_cues": "Accelerated speech rate, pleading tone (trying to persuade)", "verbal_content": "I had to do something. I had to make a move because we were drowning. You know that."}}} {"unique_id": "FSAcm6Kb7bk_T1_2_2", "video_id": "FSAcm6Kb7bk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Redhead Female - Partner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Partner]. In the living room, when she discovers her partner traded her private evidence for cash, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Partner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Partner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Partner]", "affective_state": {"object": "[Dark Suit Male - Partner]", "coarse_category": ["Anger"], "fine_description": "Intense anger and a sense of violation", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, mouth opening wide while speaking, facial muscles tense", "body_language": "Quickly standing up from the sofa, hurried movements, rummaging through items, leaning forward to question", "vocal_cues": "Accelerated speech rate, increased volume, questioning and accusing tone", "verbal_content": "No! These are mine! Are you kidding me? That was mine."}}} {"unique_id": "FSAcm6Kb7bk_T1_3_1", "video_id": "FSAcm6Kb7bk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Redhead Female - Partner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Partner]. In the living room, when the male partner claims to work for a prominent senator, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Partner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Partner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Partner]", "affective_state": {"object": "[Dark Suit Male - Partner]", "coarse_category": ["Surprise"], "fine_description": "Amused disbelief and skepticism", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyebrows raised, accompanied by a distinct smile", "body_language": "Leaning back on the sofa, shaking head slightly", "vocal_cues": "Tone is light and sarcastic", "verbal_content": "Yeah, right."}}} {"unique_id": "FYnYxm5Awfg_T1_1_1", "video_id": "FYnYxm5Awfg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red Top Female - Daughter(Selena)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Top Female - Daughter(Selena)]. In the father's study, while listening to her father admit his heartbreak and difficulty in letting her go, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Top Female - Daughter(Selena)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Top Female - Daughter(Selena)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Top Female - Daughter(Selena)]", "affective_state": {"object": "[Glasses Middle-aged Male - Father(Abraham)]", "coarse_category": ["Sadness", "Guilt"], "fine_description": "Deep guilt for hurting him mixed with shared sadness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Reddened eyes, trembling lips, pained expression", "body_language": "Hands on lap, appearing very constrained and nervous", "vocal_cues": "Choked voice, fast tempo, crying tone", "verbal_content": "I didn't mean to"}}} {"unique_id": "FYnYxm5Awfg_T1_2_0", "video_id": "FYnYxm5Awfg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Shirt Long Hair Male - Husband(Chris)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Shirt Long Hair Male - Husband(Chris)]. In the family home's entrance hall, when the father turns his attention to Chris and invites him to join the band's gig and the family, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Shirt Long Hair Male - Husband(Chris)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Shirt Long Hair Male - Husband(Chris)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Shirt Long Hair Male - Husband(Chris)]", "affective_state": {"object": "[Glasses Middle-aged Male - Father(Abraham)]", "coarse_category": ["Relief", "Happiness"], "fine_description": "A wave of relief followed by the happiness of acceptance", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows relax, corners of mouth turn up slightly", "body_language": "Slight nod", "verbal_content": "yes i do"}}} {"unique_id": "Fhgp6C2f_6U_T1_1_0", "video_id": "Fhgp6C2f_6U", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Woman in Purple Dress - Missy]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Woman in Purple Dress - Missy]. In the apartment hallway, when Howard performs magic tricks, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Woman in Purple Dress - Missy]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Woman in Purple Dress - Missy]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Woman in Purple Dress - Missy]", "affective_state": {"object": "[Man in Red Shirt - Howard]", "coarse_category": ["Disgust"], "fine_description": "A feeling of disgust mixed with second-hand embarrassment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Stiff smile, pursed lips", "body_language": "Head tilt, slight head shake", "vocal_cues": "Cold tone", "verbal_content": "No."}}} {"unique_id": "FqH4R1fIqis_T1_1_0", "video_id": "FqH4R1fIqis", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Suit Male - Father]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Suit Male - Father]. When the children repeat a remark made by their grandmother predicting his professional failure, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Suit Male - Father]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Suit Male - Father]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Suit Male - Father]", "affective_state": {"object": "[Patterned Pajamas Female - Child], [Dark Pajamas Male - Child], [Striped Pajamas Male - Child], [Dark Top Male - Child]", "coarse_category": ["Embarrassment"], "fine_description": "A sharp feeling of embarrassment and awkwardness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile", "body_language": "Shrugs, slight laugh", "vocal_cues": "Quiet questioning tone", "verbal_content": "Did she say that?"}}} {"unique_id": "G3BQd2K3maI_T1_1_0", "video_id": "G3BQd2K3maI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Striped Shirt Male - Hal]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Shirt Male - Hal]. Inside a high-end clothing store, when he attempts to apologize after making a comment about Rosemary's underwear, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Shirt Male - Hal]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Shirt Male - Hal]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Shirt Male - Hal]", "affective_state": {"object": "[Blonde Female - Rosemary]", "coarse_category": ["Sadness", "Guilt"], "fine_description": "A feeling of remorse and social awkwardness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, sincere gaze, showing regret and unease.", "body_language": "Hands spread open, making gestures of explanation and apology.", "vocal_cues": "Soft voice, pleading tone.", "verbal_content": "I'm sorry I didn't mean to offend you. Look that was really dumb of me. I just wanted to meet you."}}} {"unique_id": "G64ubBUMVek_T1_2_0", "video_id": "G64ubBUMVek", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Camouflage Uniform - Marine(Chad)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Camouflage Uniform - Marine(Chad)]. When Chad arrives home and Todd attempts to greet him with a salute, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Camouflage Uniform - Marine(Chad)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Camouflage Uniform - Marine(Chad)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Camouflage Uniform - Marine(Chad)]", "affective_state": {"object": "[Light Blue Shirt - Groom(Todd)]", "coarse_category": ["Anger"], "fine_description": "A surge of anger and defensive aggression", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes sharp and intense, lips pressed tight, facial muscles tensed", "body_language": "Leans forward, raises right hand to point at forehead then at Todd, left hand clenched", "vocal_cues": "Tone is harsh, volume raised, threatening cadence", "verbal_content": "I'd prefer if you take your fingers away from your forehead and you shake my hand like the civilian you are."}}} {"unique_id": "GARQJHyaBD0_T1_1_0", "video_id": "GARQJHyaBD0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Green Jacket - Proposer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Jacket - Proposer]. On the rooftop terrace, while practicing his marriage proposal as his friend roleplays, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Jacket - Proposer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Jacket - Proposer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Jacket - Proposer]", "affective_state": {"object": "[Black Leather Jacket - Friend]", "coarse_category": ["Frustration"], "fine_description": "Exasperated frustration at being turned down in the roleplay.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Flat, uneasy look while proposing, then eyes close and head tips back in exasperation.", "body_language": "Leaning back slightly, hands dropping to sides, posture becoming stiff.", "vocal_cues": "Halting, unenthusiastic delivery with a long pause.", "verbal_content": "Okay. Emily. Don't make me laugh. Emily, will you... marry me? Oh, my God."}}} {"unique_id": "GEAh4nF90iw_T1_1_0", "video_id": "GEAh4nF90iw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Young Female - Daughter(Susanna)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Young Female - Daughter(Susanna)]. In the psychiatrist's consultation room, when her mother asks the psychiatrist to clarify the 'borderline' diagnosis, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Young Female - Daughter(Susanna)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Young Female - Daughter(Susanna)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Young Female - Daughter(Susanna)]", "affective_state": {"object": "[Middle-aged Male with Glasses - Psychiatrist(Dr. Wick)]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A surge of surprise quickly turning into defensive anger and urgent confusion.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widening, shifting gaze rapidly between mother and doctor.", "body_language": "Abruptly turns head toward the doctor, staying seated against the chair back.", "vocal_cues": "Urgent, rapid, and forceful tone.", "verbal_content": "What borderline business? ... What is the borderline between what and what, Melvin?"}}} {"unique_id": "GEAh4nF90iw_T1_2_1", "video_id": "GEAh4nF90iw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Short-haired Young Female - Daughter(Susanna)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Young Female - Daughter(Susanna)]. When the parents discuss the duration of the stay and the social implications for their Christmas plans, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Young Female - Daughter(Susanna)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Young Female - Daughter(Susanna)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Young Female - Daughter(Susanna)]", "affective_state": {"object": "[Middle-aged Male in Dark Suit - Father], [Middle-aged Female in Black Suit - Mother]", "coarse_category": ["Frustration", "Anger"], "fine_description": "Deep annoyance and exasperation, feeling 'speechless' at the hypocrisy.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Mouth slightly open, rolls eyes, looks away.", "body_language": "Raises hand in a 'what can you do' gesture and lets it drop."}}} {"unique_id": "GHhqTy-AzI0_T1_1_0", "video_id": "GHhqTy-AzI0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Female - Agent(Maria Hill)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Female - Agent(Maria Hill)]. During the private conversation in the dimly lit bar, when she speaks to Fury about his capability, based on the subject's observed facial expressions, body language and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Female - Agent(Maria Hill)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Female - Agent(Maria Hill)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Female - Agent(Maria Hill)]", "affective_state": {"object": "[Bearded Male - Leader(Nick Fury)]", "coarse_category": ["Fear"], "fine_description": "state of apprehension and guarded caution", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Smiling, pursing lips", "body_language": "Looking away, pursing lips, spreading hands to explain", "verbal_content": "You're not ready for this, Fury. There's a very real threat out there. You were never the same after the Blip."}}} {"unique_id": "GKSCsnH43es_T1_1_0", "video_id": "GKSCsnH43es", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Curly Female - Bartender]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Curly Female - Bartender]. When the [Blonde Curly Female - Bartender] performs a cocktail tutorial for the [Grey Sweater Male - Observer], based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Curly Female - Bartender]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Curly Female - Bartender]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Curly Female - Bartender]", "affective_state": {"object": "[Grey Sweater Male - Observer]", "coarse_category": ["Sadness"], "fine_description": "Underlying grief and desperation over her dead friends and boyfriend, coloured by dark irony.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Exaggerated, mechanical professional smile; eyes slightly hollow; ends with a raised eyebrow and thumbs up.", "body_language": "Skilled, rhythmic mixing movements; pours syrup decisively and theatrically.", "vocal_cues": "Light, upward inflection; steady speed; tone of feigned mystery and flippancy.", "verbal_content": "All my friends and boyfriend are dead. Because I'm underage."}}} {"unique_id": "GMpJlKYapys_T1_1_0", "video_id": "GMpJlKYapys", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red Coat Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Coat Female - Mother]. When the Mother confronts the Daughter regarding her financial request, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Coat Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Coat Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Coat Female - Mother]", "affective_state": {"object": "[Short Curly Hair Female - Daughter]", "coarse_category": ["Anger"], "fine_description": "She feels a mix of anger and disappointment regarding the Daughter's lack of independence.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widened, mouth opens wide to emphasize specific words.", "body_language": "Right hand raised slightly to emphasize her point.", "vocal_cues": "Raised pitch, but volume is controlled and suppressed (restrained tone).", "verbal_content": "I told you. He was a loser. Did I not tell you? He was a flat-out loser."}}} {"unique_id": "GMpJlKYapys_T1_2_1", "video_id": "GMpJlKYapys", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Short Curly Hair Female - Daughter]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Curly Hair Female - Daughter]. When the Mother confronts the Daughter regarding her financial request, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Curly Hair Female - Daughter]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Curly Hair Female - Daughter]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Curly Hair Female - Daughter]", "affective_state": {"object": "[Red Coat Female - Mother]", "coarse_category": ["Frustration", "Anger"], "fine_description": "She feels a sense of grievance and injustice.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Serious expression, staring at the woman.", "body_language": "Sits upright on the sofa, leaning slightly forward toward her mother.", "vocal_cues": "Rushed, defensive tone.", "verbal_content": "Okay, you know what? But you confiscated my credit card, which is, like, totally unfair."}}} {"unique_id": "GXZSat3AqwE_T1_1_0", "video_id": "GXZSat3AqwE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Female - Job Seeker]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Female - Job Seeker]. In the office, when the Interviewer abruptly concludes the meeting and rejects the subject, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Female - Job Seeker]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Female - Job Seeker]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Female - Job Seeker]", "affective_state": {"object": "[Middle-aged Female - Interviewer]", "coarse_category": ["Sadness", "Frustration"], "fine_description": "A mix of crushing sadness, disappointment, and frantic desperation to salvage the situation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Smiles awkwardly at first, frowns slightly, corners of mouth turn down. Eyes gradually fill with tears.", "body_language": "Hands wave slightly to emphasize speech.", "vocal_cues": "Trembling, pleading, tearful tone.", "verbal_content": "Would you please just sit back down for a second? I'm sorry I... it's just I'm really really right for this job."}}} {"unique_id": "Gae_um_eNZU_T1_1_0", "video_id": "Gae_um_eNZU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Male - Customer(Daniel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Male - Customer(Daniel)]. In the high-end restaurant, when Julia begins playfully slurping a very long noodle, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Male - Customer(Daniel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Male - Customer(Daniel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Male - Customer(Daniel)]", "affective_state": {"object": "[Blonde Female - Customer(Julia)]", "coarse_category": ["Embarrassment", "Fear"], "fine_description": "A mix of acute embarrassment, social anxiety, and desperation to control the scene.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiles initially, then the smile vanishes; lips press tight in tension.", "body_language": "Sits upright watching her intently, then raises one hand in a small pinching gesture while urging her to bite.", "vocal_cues": "Whispers urgently, tone of desperation.", "verbal_content": "it's long bite down now please please bite"}}} {"unique_id": "GdrUYcOTUvY_T1_1_0", "video_id": "GdrUYcOTUvY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Patient(Lisa)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Patient(Lisa)]. In the apartment, when she confronts Daisy, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Patient(Lisa)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Patient(Lisa)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Patient(Lisa)]", "affective_state": {"object": "[Dark-Haired Female - Daisy]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Lisa feels intense disgust and contempt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling", "body_language": "Shaking head slightly while speaking", "vocal_cues": "Sarcastic tone", "verbal_content": "I bet, with every inch of his manhood"}}} {"unique_id": "GrEeru4E4Ds_T1_1_0", "video_id": "GrEeru4E4Ds", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Shirt Male - Father]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Shirt Male - Father]. In the home kitchen, when he accuses his partner of seeing someone else, grabs her, and orders the blonde woman who intervenes to stay out of it, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Shirt Male - Father]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Shirt Male - Father]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Shirt Male - Father]", "affective_state": {"object": "[Dark Hair Female - Partner]", "coarse_category": ["Anger"], "fine_description": "Intense, possessive anger driving physical aggression and a loss of temper.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Tense facial muscles, furrowed brows, glaring eyes, mouth open in a shout", "body_language": "Leaning forward, waving arms, roughly grabbing [Dark Hair Female - Partner], then turning and lunging toward [Blonde Female - Sister] who intervenes", "vocal_cues": "Loud shouting, rapid tempo, threatening tone", "verbal_content": "I swear if I... You out of this, okay? You stay out of this! It's got nothing to do with you!"}}} {"unique_id": "HEMqddRGVBY_T1_1_0", "video_id": "HEMqddRGVBY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Shirt - Golfer(Miles)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Shirt - Golfer(Miles)]. On the golf course tee box, after being repeatedly interrupted during swing preparation, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Shirt - Golfer(Miles)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Shirt - Golfer(Miles)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Shirt - Golfer(Miles)]", "affective_state": {"object": "[Green Striped Shirt - Companion(Jack)]", "coarse_category": ["Anger"], "fine_description": "An explosion of frustration and rage directed at the source of the distraction.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"body_language": "Abruptly straightens up, turns to face the companion, spreading arms and then raising them in a gesture of exasperation.", "vocal_cues": "Voice raised, fast tempo, aggressive tone.", "verbal_content": "Shut up. Shut up, shut up, shut up! Jesus Christ, man, what the hell is wrong with you? Please, just shut up!"}}} {"unique_id": "HKRXTzENFa4_T1_1_0", "video_id": "HKRXTzENFa4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Sweater Male - Father]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Sweater Male - Father]. During the meal at the seaside restaurant, when he attempts to explain the reasons for his long absence to his children, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Sweater Male - Father]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Sweater Male - Father]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Sweater Male - Father]", "affective_state": {"object": "[Green Jacket Female - Daughter], [Red Blue Jacket Male - Son]", "coarse_category": ["Guilt", "Sadness"], "fine_description": "A profound sense of guilt and shame for his abandonment, mixed with deep sadness over the lost time.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes shifting, looking down then earnestly at the children, corners of mouth trying to maintain a smile but appearing stiff.", "body_language": "Hands clasped on the table, leaning slightly forward, showing a posture of eager communication.", "vocal_cues": "Slow tempo, low pitch, slight trembling (tone), revealing inner insecurity and pleading.", "verbal_content": "I missed you terribly but I thought maybe I should stay away till your mother got settled... I was still crazy... I know I wasn't in great shape and I shouldn't want you to see me like that."}}} {"unique_id": "HLTpxttylTM_T1_1_0", "video_id": "HLTpxttylTM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother(Milly)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother(Milly)]. While listening to [Brunette Female - Friend(Jess)] gossip about work on the phone, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother(Milly)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother(Milly)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother(Milly)]", "affective_state": {"object": "[Brunette Female - Friend(Jess)]", "coarse_category": ["Sadness"], "fine_description": "A mix of heavy sadness and isolation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Grimacing smile that quickly fades into a serious expression.", "body_language": "Holds the phone to her ear, head tilted slightly to one side.", "vocal_cues": "Quiet, strained tone.", "verbal_content": "Oh... okay."}}} {"unique_id": "HLTpxttylTM_T1_2_1", "video_id": "HLTpxttylTM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Mother(Milly)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother(Milly)]. In the living room, when she explains the chemotherapy process to the children using an animated video, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother(Milly)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother(Milly)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother(Milly)]", "affective_state": {"object": "[School Uniform Children - Son and Daughter]", "coarse_category": ["Anxiety"], "fine_description": "A protective desire to comfort and shield her children from fear.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes flickering, corners of mouth forced upward, attempting to smile.", "body_language": "Stands beside the TV, touching and gesturing at the screen to guide attention.", "vocal_cues": "Soft tone, faster pace.", "verbal_content": "The medicine is like an army of soldiers and they all march into Mommy's body. Left right, left right, right now!"}}} {"unique_id": "HOY92xiGY2M_T1_1_2", "video_id": "HOY92xiGY2M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Plaid Shirt Male - Friend(Matty)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Plaid Shirt Male - Friend(Matty)]. Inside a car at night, when the subject interrupts the casual conversation to address his friend, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Plaid Shirt Male - Friend(Matty)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Plaid Shirt Male - Friend(Matty)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Plaid Shirt Male - Friend(Matty)]", "affective_state": {"object": "[Striped Jacket Male - Friend(Michael)]", "coarse_category": ["Fear", "Anxiety"], "fine_description": "Anxiety and fear regarding the outcome of his confession.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Shifting eyes, pursed lips, focused and solemn expression", "body_language": "Slightly stiff body, deep breathing", "vocal_cues": "Slightly fast pace, slightly high pitch, (hesitant and uneasy tone)", "verbal_content": "you're my best friend you know that and so I owe this to you... I'm a gay dude"}}} {"unique_id": "HOY92xiGY2M_T1_2_0", "video_id": "HOY92xiGY2M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Striped Jacket Male - Friend(Michael)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Jacket Male - Friend(Michael)]. Inside the car, when the Plaid Shirt Male explicitly confesses that he is gay, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Jacket Male - Friend(Michael)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Jacket Male - Friend(Michael)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Jacket Male - Friend(Michael)]", "affective_state": {"object": "[Plaid Shirt Male - Friend(Matty)]", "coarse_category": ["Surprise"], "fine_description": "Extreme shock and disbelief.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Widened eyes, raised eyebrows, mouth slightly open, blank expression", "body_language": "Leaning back slightly, exaggerated hand gestures", "vocal_cues": "Accelerated pace, raised pitch, (questioning and incredulous tone)", "verbal_content": "what no you're you're just a dude... I mean you're all out of shape and..."}}} {"unique_id": "HOY92xiGY2M_T1_3_1", "video_id": "HOY92xiGY2M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Striped Jacket Male - Friend(Michael)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Jacket Male - Friend(Michael)]. Inside a car at night, when the Plaid Shirt Male looks intently at the subject and states he owes him a truth, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Jacket Male - Friend(Michael)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Jacket Male - Friend(Michael)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Jacket Male - Friend(Michael)]", "affective_state": {"object": "[Plaid Shirt Male - Friend(Matty)]", "coarse_category": ["Fear"], "fine_description": "Curiosity mixed with underlying apprehension.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Raised eyebrows, smiling, eyes mostly fixed on friend but briefly drifting", "body_language": "Leaning noticeably towards friend, slightly stiff", "vocal_cues": "Upward inflection, (light and curious tone)", "verbal_content": "Yeah? What? What is it?"}}} {"unique_id": "HQsImiDtZds_T1_1_0", "video_id": "HQsImiDtZds", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-Haired Male - Captain(Forrest)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-Haired Male - Captain(Forrest)]. While piloting his shrimp boat alone, when he notices a figure on the dock waving at him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-Haired Male - Captain(Forrest)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-Haired Male - Captain(Forrest)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-Haired Male - Captain(Forrest)]", "affective_state": {"object": "[Long-Haired Male - First Mate(Lieutenant Dan)]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "A mix of shock and pure, uncontainable joy.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth corners lift into a confused but delighted smile.", "body_language": "Immediately lets go of the steering wheel, waves frantically, and in a burst of excitement, jumps directly into the ocean to swim toward the dock.", "vocal_cues": "(Tone) High-pitched, rising intonation indicating shock.", "verbal_content": "Lieutenant, what are you doing here?"}}} {"unique_id": "HQsImiDtZds_T1_2_1", "video_id": "HQsImiDtZds", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long-Haired Male - First Mate(Lieutenant Dan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-Haired Male - First Mate(Lieutenant Dan)]. After the Captain swims ashore, as the two men converse on the dock where the First Mate explains his arrival, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-Haired Male - First Mate(Lieutenant Dan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-Haired Male - First Mate(Lieutenant Dan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-Haired Male - First Mate(Lieutenant Dan)]", "affective_state": {"object": "[Short-Haired Male - Captain(Forrest)]", "coarse_category": ["Happiness"], "fine_description": "A sense of pride, amusement, and genuine happiness.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Bright smile, bright eyes, corners of the mouth raised.", "body_language": "Sits relaxed in his wheelchair with an open posture, later pointing a finger at [Short-Haired Male - Captain(Forrest)].", "vocal_cues": "(Tone) Lighthearted, cheerful tone.", "verbal_content": "I told you if you were ever a shrimp boat captain that I'd be your first mate. Well, here I am. I am a man of my word."}}} {"unique_id": "Ha_7S78KExo_T1_1_0", "video_id": "Ha_7S78KExo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Female - Sister(Franny)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Female - Sister(Franny)]. In a hospital room, when James visits and offers to play a song for her comatose brother, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Female - Sister(Franny)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Female - Sister(Franny)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Female - Sister(Franny)]", "affective_state": {"object": "[Blonde Male - Visitor(James)]", "coarse_category": ["Happiness"], "fine_description": "A sense of warmth, gratitude, and hope.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling, soft eyes, corners of mouth raised", "body_language": "Leaning forward slightly, open posture, nodding", "vocal_cues": "Soft tone, encouraging", "verbal_content": "I know, it's really good, isn't it? You know, he would really flip out if he knew you were here. He's kind of obsessed. Not like in a freaky way or anything, just, you know... No, no, that would be great. I'm sure he would love that."}}} {"unique_id": "IAsBghop-hw_T1_1_0", "video_id": "IAsBghop-hw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit Male - Husband(Dan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Husband(Dan)]. When Dan arrives home and finds Alex sitting in his living room conversing with his wife, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Husband(Dan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Husband(Dan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Husband(Dan)]", "affective_state": {"object": "[Blonde Female - Mistress(Alex)]", "coarse_category": ["Fear", "Surprise"], "fine_description": "A paralyzing surge of terror and shock, mixed with the dread of imminent exposure.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes alert and wary, lips pressed tight, stiff expression.", "body_language": "Freezes at the doorway, awkward hand movements, handshake is extremely stiff and quickly withdrawn.", "vocal_cues": "Tone is flat, strained, and lacking warmth.", "verbal_content": "Nice to meet you... I have some work I've got to do."}}} {"unique_id": "IAsBghop-hw_T1_2_1", "video_id": "IAsBghop-hw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Mistress(Alex)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mistress(Alex)]. In the apartment living room, while engaging the wife in conversation and waiting to confront Dan, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mistress(Alex)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mistress(Alex)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mistress(Alex)]", "affective_state": {"object": "[Black Suit Male - Husband(Dan)]", "coarse_category": ["Disgust", "Anger"], "fine_description": "A sadistic sense of satisfaction and contempt for his weakness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "A subtle, eerie smile; sharp gaze locked on him.", "body_language": "Relaxed and elegant posture, holding the handshake longer than socially necessary.", "vocal_cues": "Tone is light, soft, and pleasant.", "verbal_content": "Haven't we met somewhere before? ... I never forget a face."}}} {"unique_id": "IB7BvgXIKOs_T1_1_0", "video_id": "IB7BvgXIKOs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bespectacled Male - Professor(Bethany)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bespectacled Male - Professor(Bethany)]. While instructing the commando on flirting techniques and observing her execution, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bespectacled Male - Professor(Bethany)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bespectacled Male - Professor(Bethany)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bespectacled Male - Professor(Bethany)]", "affective_state": {"object": "[Long-Haired Female - Commando(Martha)]", "coarse_category": ["Happiness"], "fine_description": "Amusement mixed with critical dissatisfaction", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows indicating critique, followed by a smirk and amused smile", "body_language": "Hands on hips, leaning back to observe, using gestures to correct the movements", "vocal_cues": "Exaggerated and dramatic tone", "verbal_content": "Sparkle needs work, you look terrified, oh my god just so funny"}}} {"unique_id": "IB7BvgXIKOs_T1_2_1", "video_id": "IB7BvgXIKOs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long-Haired Female - Commando(Martha)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-Haired Female - Commando(Martha)]. In the tropical jungle, when she attempts to mimic the professor's instructions, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-Haired Female - Commando(Martha)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-Haired Female - Commando(Martha)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-Haired Female - Commando(Martha)]", "affective_state": {"object": "[Bespectacled Male - Professor(Bethany)]", "coarse_category": ["Embarrassment"], "fine_description": "Deep embarrassment and awkwardness", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, darting eyes, tight lips, attempting a stiff smile", "body_language": "Tense posture, slow movements, frequent readjustments, uncoordinated mimicry", "vocal_cues": "Trembling voice, accelerated speech, trying to mask nervousness", "verbal_content": "I think I'm getting it"}}} {"unique_id": "IB7BvgXIKOs_T1_3_2", "video_id": "IB7BvgXIKOs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Muscular Male - Adventurer(Spencer)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Muscular Male - Adventurer(Spencer)]. In the tropical jungle, while discussing a potential romantic interaction with the zoologist, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Muscular Male - Adventurer(Spencer)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Muscular Male - Adventurer(Spencer)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Muscular Male - Adventurer(Spencer)]", "affective_state": {"object": "[Short Male - Zoologist(Fridge)]", "coarse_category": ["Fear"], "fine_description": "Social anxiety and panic", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, shifting eyes full of unease, slightly parted lips", "body_language": "Stiff posture, hands waving awkwardly near chest, unsteady footing", "vocal_cues": "Raised pitch, rapid speech with a tremble", "verbal_content": "What if she tries to kiss me? Like, without warning?"}}} {"unique_id": "IMQADg1Dp9g_T1_1_0", "video_id": "IMQADg1Dp9g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Green Suit Male - Teacher(Kimble)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Suit Male - Teacher(Kimble)]. In the kindergarten classroom, when the students are running wild, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Suit Male - Teacher(Kimble)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Suit Male - Teacher(Kimble)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Suit Male - Teacher(Kimble)]", "affective_state": {"object": "[Children - Students]", "coarse_category": ["Anger"], "fine_description": "Intense frustration and rage.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Grimacing, mouth wide open, furrowed brow.", "body_language": "Body tenses up during the yell.", "vocal_cues": "Loud, harsh yelling tone.", "verbal_content": "Shut up!"}}} {"unique_id": "IRXmeqEtY0g_T1_1_0", "video_id": "IRXmeqEtY0g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male - Prisoner(Magget)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male - Prisoner(Magget)]. In the Prison Library, when the guards approach him and drop a book on the floor, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male - Prisoner(Magget)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male - Prisoner(Magget)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male - Prisoner(Magget)]", "affective_state": {"object": "[White Male - Guard]", "coarse_category": ["Anger", "Fear"], "fine_description": "A mix of suppressed indignation and fear.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Playful grin, obsequious smile", "body_language": "Walking over"}}} {"unique_id": "IiqwzfKyQOQ_T1_1_0", "video_id": "IiqwzfKyQOQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Young Woman(Jess)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Young Woman(Jess)]. At the courtyard cafe seating, when [Male in Blue Top - Male Friend(Nicky)] attempts to woo [Blonde Female - Young Woman(Jess)] with promises of protection, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Young Woman(Jess)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Young Woman(Jess)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Young Woman(Jess)]", "affective_state": {"object": "[Male in Blue Top - Male Friend(Nicky)]", "coarse_category": ["Disgust", "Happiness"], "fine_description": "A mix of triumphant superiority and deep disdain for his clumsy attempt at manipulation.", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes shift from hazy to sharp and piercing; a mocking sneer appears, followed by loud, jarring laughter.", "body_language": "Rapidly pulls back to create distance, crossing arms in a defensive yet dominant posture.", "vocal_cues": "Accelerated speech rate, high-pitched and aggressive tone accompanied by superior, mocking laughter.", "verbal_content": "Like I just played you. I think you're losing it. That was pathetic! 'I'll keep you safe'-what was that?"}}} {"unique_id": "IqJWWBRnrH4_T1_1_2", "video_id": "IqJWWBRnrH4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Middle-aged Male - Camp Owner(Uncle John)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Middle-aged Male - Camp Owner(Uncle John)]. In the dining hall, when he stands before the campers to announce the 'Counselor of the Week' award and introduce the morning song, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Middle-aged Male - Camp Owner(Uncle John)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Middle-aged Male - Camp Owner(Uncle John)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Middle-aged Male - Camp Owner(Uncle John)]", "affective_state": {"object": "[Curly Young Female - Counselor(Angela Johnson)]", "coarse_category": ["Happiness"], "fine_description": "High-spirited enthusiasm and leadership pride.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling with bright eyes.", "body_language": "Leaning forward, gesturing towards the audience/Angela, open posture.", "vocal_cues": "Lighthearted tone, encouraging, loud volume.", "verbal_content": "Let's start this lovely day with a lovely song from our lovely Angela Johnson!"}}} {"unique_id": "IqJWWBRnrH4_T1_2_0", "video_id": "IqJWWBRnrH4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Curly Young Female - Counselor(Angela Johnson)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Young Female - Counselor(Angela Johnson)]. When the Camp Owner publicly announces her as the 'Counselor of the Week', based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Young Female - Counselor(Angela Johnson)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Young Female - Counselor(Angela Johnson)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Young Female - Counselor(Angela Johnson)]", "affective_state": {"object": "[Bald Middle-aged Male - Camp Owner(Uncle John)], [Group - Campers]", "coarse_category": ["Happiness"], "fine_description": "Flattered delight and a sense of accomplishment.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brilliant smile, sparkling eyes, slightly flushed cheeks.", "body_language": "Walks briskly to the microphone, confident posture.", "vocal_cues": "Bright tone, slightly excited.", "verbal_content": "I don't know what to say... Camp Rolling Hills is the best!"}}} {"unique_id": "IqJWWBRnrH4_T1_3_1", "video_id": "IqJWWBRnrH4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Young Female - Camper(Molly Nagle)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Female - Camper(Molly Nagle)]. When Angela is announced as 'Counselor of the Week', based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Female - Camper(Molly Nagle)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Female - Camper(Molly Nagle)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Female - Camper(Molly Nagle)]", "affective_state": {"object": "[Curly Young Female - Counselor(Angela Johnson)]", "coarse_category": ["Surprise", "Disgust"], "fine_description": "Sarcastic disbelief and mockery.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyebrows raised high, exaggerated surprise, mocking smile, tilting head towards companion.", "body_language": "Leaning forward over the table, clapping mechanically while whispering sideways to a companion.", "vocal_cues": "Sharp tone, obvious sarcasm.", "verbal_content": "She kicks off thieves and they make her counselor of the week?"}}} {"unique_id": "ItHtrNSJwDo_T1_1_0", "video_id": "ItHtrNSJwDo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[ShortHairedFemale - Wife(Kelly)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [ShortHairedFemale - Wife(Kelly)]. When she arrives at the workplace and confronts Jimmy, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [ShortHairedFemale - Wife(Kelly)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[ShortHairedFemale - Wife(Kelly)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[ShortHairedFemale - Wife(Kelly)]", "affective_state": {"object": "[FloralShirtMale - Colleague(Jimmy)]", "coarse_category": ["Anger"], "fine_description": "A surge of frustration and aggressive rage.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, widened eyes, tight lips, tense facial muscles", "body_language": "Leaning forward, pointing finger at Jimmy, aggressive posture", "vocal_cues": "Raised volume, fast pace, questioning and threatening tone", "verbal_content": "You're lying to me! Tell me where he is!"}}} {"unique_id": "JBEBdEdhwCk_T1_1_0", "video_id": "JBEBdEdhwCk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother]. During the confrontation in the hospital room, when the husband enforces medication compliance by invoking a past traumatic incident involving their child, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother]", "affective_state": {"object": "[Plaid Shirt Male - Husband]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A crushing sense of grievance, shame, and resentment as she feels cornered into compliance.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Tears well up instantly, and her face crumples with intense sobbing.", "body_language": "She curls up on the hospital bed, her body heaving with sobs, and her hands tremble as she accepts the water cup.", "vocal_cues": "Her voice is full of broken tremors, rising to a sharp crying tone (sobbing) during her retorts.", "verbal_content": "You're going to bring this up now? It's not fair! ... Are you happy now?"}}} {"unique_id": "JF1RDNUTsJw_T1_1_0", "video_id": "JF1RDNUTsJw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Brown Top Female - Guest]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Brown Top Female - Guest]. During a casual conversation, when [Bald Glasses Male - Guest] jokes about a reality TV show, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Brown Top Female - Guest]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Brown Top Female - Guest]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Brown Top Female - Guest]", "affective_state": {"object": "[Bald Glasses Male - Guest]", "coarse_category": ["Disgust"], "fine_description": "A sense of intellectual superiority mixed with amusement at the absurdity of the show.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Exaggerated laughter followed by a look of distaste and a sarcastic smirk", "body_language": "Leans back slightly, resting a hand on the railing to create a casual distance", "vocal_cues": "(Sarcastic tone) Voice pitch rises with mocking laughter", "verbal_content": "Oh, God, no. Who even watches that garbage?"}}} {"unique_id": "JHqs20DmNLc_T1_1_1", "video_id": "JHqs20DmNLc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair - Passenger(Del)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair - Passenger(Del)]. In the meeting hall or waiting area, when he recognizes a familiar face and engages him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair - Passenger(Del)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair - Passenger(Del)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair - Passenger(Del)]", "affective_state": {"object": "[Gray Hat - Passenger(Neal)]", "coarse_category": ["Happiness", "Surprise"], "fine_description": "Boisterous amusement and a sense of friendly connection.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyebrows raised high, mouth wide open in explosive laughter, cheeks flushed with excitement, displaying a bright and infectious smile.", "body_language": "Leans forward in his seat, waves the paperback toward the other person while laughing, movements are animated.", "vocal_cues": "High-pitched tone accompanied by loud, boisterous, and lingering laughter, filled with exclamations of surprise.", "verbal_content": "I knew I knew you! Yeah! You scared the bejeezus out of me!"}}} {"unique_id": "JHqs20DmNLc_T1_2_0", "video_id": "JHqs20DmNLc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Gray Hat - Passenger(Neal)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Hat - Passenger(Neal)]. When Del laughs off the cab incident and offers various food items, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Hat - Passenger(Neal)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Hat - Passenger(Neal)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Hat - Passenger(Neal)]", "affective_state": {"object": "[Curly Hair - Passenger(Del)]", "coarse_category": ["Disgust", "Anger"], "fine_description": "Intense annoyance and exasperation mixed with disbelief.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Facial muscles stiff, corners of the mouth tight and pulled down, eyes filled with fatigue and forbearance, blinking rapidly at times to protest.", "body_language": "Body tense, adjusting the posture of holding the newspaper to create a physical barrier, shaking head slightly, showing an expression of being fed up.", "vocal_cues": "Tone is low, short, and mechanical; the rhythm of refusal is very decisive, leaving no room for negotiation.", "verbal_content": "No. No. No. No. No. Sir, please."}}} {"unique_id": "JN398hatBnU_T1_1_0", "video_id": "JN398hatBnU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Young Female - Actress]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Young Female - Actress]. When the Producer mentions that a famous star will play her mother and asks if she is ready to start, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Young Female - Actress]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Young Female - Actress]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Young Female - Actress]", "affective_state": {"object": "[Black Dress Blonde Female - Producer]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "A mix of overwhelming excitement, awe, and validation.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes wide with dilated pupils, bright polite smile, frequent nodding", "body_language": "Posture upright and leaning slightly forward", "vocal_cues": "Tone is light, positive, with a hint of nervousness", "verbal_content": "Yeah, yes sir"}}} {"unique_id": "JUGSh3BMuaQ_T1_1_0", "video_id": "JUGSh3BMuaQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses - Writer(Nicholas)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses - Writer(Nicholas)]. In the home office, when his wife enters the study and asks to join him on his drive, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses - Writer(Nicholas)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses - Writer(Nicholas)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses - Writer(Nicholas)]", "affective_state": {"object": "[Apron - Wife(Beth)]", "coarse_category": ["Surprise"], "fine_description": "A mix of surprise and concealed grievance regarding the unwanted company.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Eyes look up, widen", "body_language": "Eating cookie", "verbal_content": "What? Mmm, that is absolutely yummy."}}} {"unique_id": "Jd3GwwxFDPY_T1_1_0", "video_id": "Jd3GwwxFDPY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly - Prisoner(Skip)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly - Prisoner(Skip)]. When [Curly - Prisoner(Skip)] is transferred into the cell occupied by [Large - Inmate(Grossberger)], based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly - Prisoner(Skip)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly - Prisoner(Skip)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly - Prisoner(Skip)]", "affective_state": {"object": "[Large - Inmate(Grossberger)]", "coarse_category": ["Fear"], "fine_description": "Intense panic and desperation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Smiling nervously, sweating profusely", "body_language": "Turns back to face the [Uniformed - Guard], attempting to exit the cell", "vocal_cues": "Polite, pleading tone", "verbal_content": "I left my my wallet in the solitary"}}} {"unique_id": "JdZHXwqDXB4_T1_1_0", "video_id": "JdZHXwqDXB4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Light Suit Male - Officer(Allen)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Suit Male - Officer(Allen)]. In the police station office, when Terry throws a tantrum about losing evidence, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Suit Male - Officer(Allen)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Suit Male - Officer(Allen)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Suit Male - Officer(Allen)]", "affective_state": {"object": "[White Shirt Male - Detective(Terry)]", "coarse_category": ["Frustration", "Anger"], "fine_description": "A state of weary annoyance and controlled anger, expressed through sarcasm.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes wide, facial muscles tense, lips pursed then opening to speak firmly.", "body_language": "Leaning forward, slapping the table with hands, pointing finger at the partner, aggressive posture.", "vocal_cues": "Tone is extremely steady but filled with suppressed provocation and sarcasm; clear articulation.", "verbal_content": "I'm so tired of you getting angry and yelling all the time. It's exhausting!"}}} {"unique_id": "JdZHXwqDXB4_T1_2_1", "video_id": "JdZHXwqDXB4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Shirt Male - Detective(Terry)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Male - Detective(Terry)]. In the police station office, when he discovers that procedural rules require handing over evidence to the defense, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Male - Detective(Terry)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Male - Detective(Terry)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Male - Detective(Terry)]", "affective_state": {"object": "[Light Suit Male - Officer(Allen)]", "coarse_category": ["Anger"], "fine_description": "Explosive fury and frustration.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Face flushed red, eyes wide, mouth open in a yell, agitated expression.", "body_language": "Frantically hitting the desk, knocking over files.", "vocal_cues": "Extremely high volume, rapid speech rate, distinct screaming quality.", "verbal_content": "We just handed all of our evidence over to the bad guy's lawyer!"}}} {"unique_id": "Jhh8bQ21slI_T1_1_0", "video_id": "Jhh8bQ21slI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Long Hair Female - Bella]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Long Hair Female - Bella]. During the conversation by the lake, when Jacob kisses her, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Long Hair Female - Bella]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Long Hair Female - Bella]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Long Hair Female - Bella]", "affective_state": {"object": "[Black T-shirt Male - Jacob]", "coarse_category": ["Surprise", "Anger"], "fine_description": "An immediate jolt of shock followed by a surge of indignation and anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes staring wide at the other person, mouth slightly open.", "body_language": "Pushes him away abruptly."}}} {"unique_id": "JuPSeaf--7g_T1_1_0", "video_id": "JuPSeaf--7g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Hanna]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Hanna]. In a courtyard filled with hanging laundry lines, while Erik pursues her and shouts, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Hanna]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Hanna]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Hanna]", "affective_state": {"object": "[Dark Suit Male - Erik]", "coarse_category": ["Fear", "Sadness"], "fine_description": "She feels a mix of disappointment, disbelief, and fear regarding the situation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes filled with tears, expression of deep sadness", "body_language": "Turns back suddenly to face him, shakes head in denial", "vocal_cues": "Gasps in fright, then speaks in a low, trembling whisper", "verbal_content": "You didn't prepare me for this."}}} {"unique_id": "K8_ERcsa0CU_T1_1_0", "video_id": "K8_ERcsa0CU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Young Female - Actress(Pamela)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Young Female - Actress(Pamela)]. In the bedroom, when the cleaner suggests she wear her own dress as a replacement, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Young Female - Actress(Pamela)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Young Female - Actress(Pamela)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Young Female - Actress(Pamela)]", "affective_state": {"object": "[Redhead Older Female - Cleaner(Mrs. Harris)]", "coarse_category": ["Happiness", "Surprise"], "fine_description": "A feeling of incredulous amusement and dismissal.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Amused smile", "body_language": "Tilts head", "vocal_cues": "Laughs", "verbal_content": "Don't be ridiculous."}}} {"unique_id": "KD7l7XgWSXs_T1_1_0", "video_id": "KD7l7XgWSXs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Shower Cap Female - Writer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Shower Cap Female - Writer]. While the writer attempts to work in her home space and the visitor interrupts, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Shower Cap Female - Writer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Shower Cap Female - Writer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Shower Cap Female - Writer]", "affective_state": {"object": "[Glasses Female - Visitor]", "coarse_category": ["Frustration", "Anger"], "fine_description": "A feeling of helpless grievance and frustration.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open", "body_language": "Looks up helplessly, holds the tablet with both hands, takes a deep breath"}}} {"unique_id": "KVbBkEyaoT8_T1_1_0", "video_id": "KVbBkEyaoT8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Tattooed Male - Gang Member(Griff)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Tattooed Male - Gang Member(Griff)]. Following a successful heist, while the driver remains isolated behind sunglasses and headphones, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Tattooed Male - Gang Member(Griff)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Tattooed Male - Gang Member(Griff)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Tattooed Male - Gang Member(Griff)]", "affective_state": {"object": "[Young Male - Driver(Baby)]", "coarse_category": ["Anger"], "fine_description": "Felt slighted, provoked, and angry at the perceived arrogance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp piercing gaze, mocking smirk.", "body_language": "Leans forward to invade personal space, aggressively snatches the sunglasses, points finger accusingly.", "vocal_cues": "Raised voice, threatening tone, rapid speech tempo.", "verbal_content": "So you're a mute, Baby? Is that what it is? I just want to find out what's going on between those ears."}}} {"unique_id": "KVbBkEyaoT8_T1_2_1", "video_id": "KVbBkEyaoT8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Young Male - Driver(Baby)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Male - Driver(Baby)]. When the gang member confronts him, snatches his sunglasses, and questions his silence, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Male - Driver(Baby)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Male - Driver(Baby)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Male - Driver(Baby)]", "affective_state": {"object": "[Tattooed Male - Gang Member(Griff)]", "coarse_category": ["Fear"], "fine_description": "Felt a surge of tension and fear.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Facial muscles tense, unblinking stare directly at the aggressor, lips slightly pursed.", "body_language": "Remains seated and still, breathing rate increases slightly as the aggressor approaches, hands relaxed but muscles ready.", "vocal_cues": "Short response, tone is extremely steady but cold.", "verbal_content": "No. Music."}}} {"unique_id": "KZPjWTR02TY_T1_1_0", "video_id": "KZPjWTR02TY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Customer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Customer]. In a retro-style diner, when the male reveals he possesses knowledge of a dark secret from her past, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Customer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Customer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Customer]", "affective_state": {"object": "[Yellow Shirt Male - Customer]", "coarse_category": ["Fear", "Surprise"], "fine_description": "A sudden jolt of shock mixed with fear regarding the exposure of her past crime.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Blinking, eyes widened, mouth slightly open and stiff, staring at the man", "body_language": "Freezes"}}} {"unique_id": "KaqzKhM9-nU_T1_1_0", "video_id": "KaqzKhM9-nU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Polo Male - Mitch]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Polo Male - Mitch]. In the law firm office, when he overhears the news regarding a sudden deadline, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Polo Male - Mitch]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Polo Male - Mitch]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Polo Male - Mitch]", "affective_state": {"object": "[Grey Suit Male - Dave]", "coarse_category": ["Surprise", "Frustration"], "fine_description": "A mix of sudden shock and deep frustration regarding the impossible timeframe.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes lose focus, mouth slightly puffed out.", "body_language": "Raises hand in a stopping gesture, leans back against the bookcase.", "vocal_cues": "Rapid speech, urgent tone.", "verbal_content": "Wait, wa hold on, what do you mean? Wow, two days?"}}} {"unique_id": "KnVUbQ0nAF4_T1_1_0", "video_id": "KnVUbQ0nAF4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short Brown Hair Female - Customer(Lee)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Brown Hair Female - Customer(Lee)]. During the quiet conversation in the bookstore, when the bookseller responds to the subject's remark, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Brown Hair Female - Customer(Lee)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Brown Hair Female - Customer(Lee)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Brown Hair Female - Customer(Lee)]", "affective_state": {"object": "[Brown Hair Female - Bookseller]", "coarse_category": ["Happiness", "Relief"], "fine_description": "A subtle feeling of gratification and shy comfort.", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Eyes cast down, tight-lipped polite smile.", "body_language": "Slight nod."}}} {"unique_id": "KoEPdETXy4k_T1_1_0", "video_id": "KoEPdETXy4k", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Middle-aged Female with Glasses - Nun(Sister Aloysius)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Female with Glasses - Nun(Sister Aloysius)]. In the office, when Father Flynn prepares to sit down as they enter, based on the subject's observed facial expressions and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Female with Glasses - Nun(Sister Aloysius)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Female with Glasses - Nun(Sister Aloysius)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Female with Glasses - Nun(Sister Aloysius)]", "affective_state": {"object": "[Gray-haired Middle-aged Male - Priest(Father Flynn)]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A feeling of sharp surprise mixed with irritation.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Serious eyes followed by a polite smile", "verbal_content": "Father would you care for a... would you have a cup of tea father"}}} {"unique_id": "L2GbnErVDqk_T1_1_0", "video_id": "L2GbnErVDqk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey-haired Female - Grandmother(Nana)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey-haired Female - Grandmother(Nana)]. During the filmed interview, when the conversation shifts to the sensitive history of the family's estrangement, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey-haired Female - Grandmother(Nana)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey-haired Female - Grandmother(Nana)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey-haired Female - Grandmother(Nana)]", "affective_state": {"object": "[Blonde Female - Granddaughter(Becca)]", "coarse_category": ["Fear", "Sadness"], "fine_description": "A state of overwhelming agony, internal struggle, and distress.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes constrict, corners of the mouth tighten, and facial muscles stiffen, revealing pain and defensiveness.", "body_language": "Shakes head violently from side to side and waves hands erratically in front of the body."}}} {"unique_id": "L38j8UMd4oM_T1_1_0", "video_id": "L38j8UMd4oM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Young Female - Wife(Franny)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Young Female - Wife(Franny)]. In the home kitchen/dining room, while attempting to rationalize her marital struggles to the Mother, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Young Female - Wife(Franny)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Young Female - Wife(Franny)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Young Female - Wife(Franny)]", "affective_state": {"object": "[Curly Middle-aged Female - Mother]", "coarse_category": ["Sadness"], "fine_description": "Feeling exposed and devastated", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes red and streaming with tears, facial muscles twitching.", "body_language": "Leaning forward, shoulders trembling, head lowered, hands covering face.", "vocal_cues": "Crying mixed with sharp, short, self-mocking laughter, breathing rapid and incoherent.", "verbal_content": "That's horrible..."}}} {"unique_id": "L38j8UMd4oM_T1_2_1", "video_id": "L38j8UMd4oM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Curly Middle-aged Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Middle-aged Female - Mother]. In the home kitchen/dining room, when observing the Wife's behavior, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Middle-aged Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Middle-aged Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Middle-aged Female - Mother]", "affective_state": {"object": "[Long-haired Young Female - Wife(Franny)]", "coarse_category": ["Anxiety", "Sadness"], "fine_description": "Feeling deeply worried and resigned", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes full of worry, corners of mouth turned down, expression serious.", "body_language": "Leaning forward, looking directly at the daughter, posture conveying concern.", "vocal_cues": "Tone extremely steady but oppressive, enunciation clear and decisive.", "verbal_content": "That saying's bullshit. The first year should be your best. If it wasn't, none of us would stick around. Because it only gets harder. Much harder."}}} {"unique_id": "LIuGUw5V3Fo_T1_1_0", "video_id": "LIuGUw5V3Fo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male with Dreads - Suspect]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male with Dreads - Suspect]. During an interrogation, when the [Burgundy Top Female - Officer] presents a specific engagement ring to the [Black Male with Dreads - Suspect], based on the subject's observed facial expressions, body language and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male with Dreads - Suspect]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male with Dreads - Suspect]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male with Dreads - Suspect]", "affective_state": {"object": "[Burgundy Top Female - Officer]", "coarse_category": ["Sadness", "Fear"], "fine_description": "A psychological breakdown characterized by overwhelming despair, fear of the consequences, and regret.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, red eyes, trembling lips, expression of pain.", "body_language": "Head lowered, hands tightly clasped, leaning forward slightly in a posture of suppressed agony.", "vocal_cues": "Low voice, slow tempo, choking/sobbing tone."}}} {"unique_id": "LRb23BAeIQY_T1_1_0", "video_id": "LRb23BAeIQY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Writer(Mavis)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Writer(Mavis)]. During the outdoor gathering, when Buddy reveals that the invitation was forced out of pity, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Writer(Mavis)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Writer(Mavis)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Writer(Mavis)]", "affective_state": {"object": "[Brown Hair Male - Ex Boyfriend(Buddy)], [Dark Hair Female - Wife(Beth)]", "coarse_category": ["Anger", "Embarrassment"], "fine_description": "A sequence of shock and awkwardness, quickly converting the shame into defensive rage and hatred.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes cast down with a blank expression initially, then shifting to an angry glare.", "body_language": "Looks at the wife with slight surprise, shakes head, then spreads arms wide and yells at the crowd.", "vocal_cues": "Initially quiet and weak tone, then suddenly loud, rapid, and aggressive.", "verbal_content": "wow what about now you hate me now hmm cause it should be easy because i hate you; oh you at you what is wrong with you people"}}} {"unique_id": "LVkOD1Uy_9k_T1_1_0", "video_id": "LVkOD1Uy_9k", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Light Hat - Traveler(Bobby)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Hat - Traveler(Bobby)]. During a confrontation in the woods, when the [Black Hat - Local(Gunman)] aims his shotgun directly at [Light Hat - Traveler(Bobby)], based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Hat - Traveler(Bobby)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Hat - Traveler(Bobby)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Hat - Traveler(Bobby)]", "affective_state": {"object": "[Black Hat - Local(Gunman)]", "coarse_category": ["Surprise", "Fear"], "fine_description": "A jolt of shock and fear.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frown with widened eyes, transitioning into a stiff, forced smile.", "body_language": "Initially startled, raising hands to chest and shifting an item to the left hand. Then spreads hands in a gesture of disbelief, swaying the body, and attempting to walk away.", "vocal_cues": "Fast-paced speech (tone).", "verbal_content": "This is ridiculous"}}} {"unique_id": "LYEsoTPm62c_T1_1_0", "video_id": "LYEsoTPm62c", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bearded Male - Father]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bearded Male - Father]. During the confrontation about the investigation, when the Detective maintains that no physical evidence links the suspect to the crime, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bearded Male - Father]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bearded Male - Father]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bearded Male - Father]", "affective_state": {"object": "[Black Jacket Male - Detective]", "coarse_category": ["Anger"], "fine_description": "A surge of intense frustration and indignation, escalating into an aggressive verbal outburst.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp and intense gaze", "vocal_cues": "Sudden increase in volume, commanding and aggressive tone", "verbal_content": "How could he drive an RV if he has an IQ of a 10-year-old? I don't think you are considering all possibilities. No, you listen to me. Just shut up for a second."}}} {"unique_id": "Lf8RFut3XY0_T1_1_0", "video_id": "Lf8RFut3XY0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black T-shirt Male - Husband]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black T-shirt Male - Husband]. During the domestic confrontation, while attempting to deny the allegations, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black T-shirt Male - Husband]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black T-shirt Male - Husband]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black T-shirt Male - Husband]", "affective_state": {"object": "[Grey Shirt Female - Wife]", "coarse_category": ["Sadness", "Frustration"], "fine_description": "A state of deep sadness mixed with helplessness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, widened eyes, tight lips", "body_language": "Shaking head"}}} {"unique_id": "LlK6pn4qyrc_T1_1_1", "video_id": "LlK6pn4qyrc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[LongHair - Student(Julie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [LongHair - Student(Julie)]. When [GreyHair - Mentor(Miyagi)] enters the room to discuss schoolwork, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [LongHair - Student(Julie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[LongHair - Student(Julie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[LongHair - Student(Julie)]", "affective_state": {"object": "[GreyHair - Mentor(Miyagi)]", "coarse_category": ["Anger", "Disgust"], "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, mouth slightly open, staring intensely.", "body_language": "Turns away and walks towards the door.", "verbal_content": "Forget it, I am out of here."}}} {"unique_id": "LlK6pn4qyrc_T1_2_0", "video_id": "LlK6pn4qyrc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[GreyHair - Mentor(Miyagi)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [GreyHair - Mentor(Miyagi)]. After [LongHair - Student(Julie)] speaks to him and walks away, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [GreyHair - Mentor(Miyagi)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[GreyHair - Mentor(Miyagi)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[GreyHair - Mentor(Miyagi)]", "affective_state": {"object": "[LongHair - Student(Julie)]", "coarse_category": ["Frustration"], "fine_description": "feeling a deep sense of resignation and disappointment", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Closes eyes briefly.", "body_language": "Turns back towards the house."}}} {"unique_id": "LswlHCxeCCU_T1_1_0", "video_id": "LswlHCxeCCU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Haired Male - Actor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Haired Male - Actor]. In the theater backstage, when the Staff shares details about Chadwick's past collaborations, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Haired Male - Actor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Haired Male - Actor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Haired Male - Actor]", "affective_state": {"object": "[Bowtie Male - Theater Staff]", "coarse_category": ["Surprise"], "fine_description": "A mix of astonishment and piqued curiosity regarding the new information.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth slightly opens, surprised expression with a faint smile.", "body_language": "Leans forward, lowering head to move closer to the staff member.", "vocal_cues": "Accelerated tempo, rising pitch, tone of exclamation.", "verbal_content": "No. Oh, my God."}}} {"unique_id": "MB5zQ9X-2tY_T1_1_0", "video_id": "MB5zQ9X-2tY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Mustached Young Male - Brother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Mustached Young Male - Brother]. Following dinner, when the [Dark Long Sleeve Male - Brother] initiates a confrontation regarding the family's concerns about the subject's isolation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Mustached Young Male - Brother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Mustached Young Male - Brother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Mustached Young Male - Brother]", "affective_state": {"object": "[Dark Long Sleeve Male - Brother]", "coarse_category": ["Embarrassment"], "fine_description": "The shrinking discomfort of hearing at the family table that he has been discussed and diagnosed behind his back.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Head lowered, gaze avoidance, tight lips, slight facial muscle tension.", "body_language": "Sits still, slightly hunched, head lowered, glancing sideways without meeting his eyes.", "vocal_cues": "Low pitch, slow tempo, flat tone.", "verbal_content": "I'm fine."}}} {"unique_id": "MGGGksL1ziM_T1_1_0", "video_id": "MGGGksL1ziM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Traveler(Liz)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Traveler(Liz)]. At the rocky beach area at dusk, when the partner persistently demands a verbal declaration of love and critiques the subject's understanding of 'balance', based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Traveler(Liz)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Traveler(Liz)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Traveler(Liz)]", "affective_state": {"object": "[Brown Curly Hair Male - Partner(Felipe)]", "coarse_category": ["Anger"], "fine_description": "Intense anger and defensiveness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, mouth wide open shouting", "body_language": "Hands raised, agitated, stands close facing him, head thrust forward with emphasis", "vocal_cues": "Accelerated speech rate, raised pitch, lecturing tone", "verbal_content": "You know what? Do not tell me what lessons I have and haven't learned in the last year and don't tell me how balanced and wise you are and how I can't express myself... Listen to me, I do not need to love you to prove that I love myself."}}} {"unique_id": "MGGGksL1ziM_T1_2_1", "video_id": "MGGGksL1ziM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Brown Curly Hair Male - Partner(Felipe)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Curly Hair Male - Partner(Felipe)]. At the rocky beach area at dusk, while demanding a verbal declaration of love from [Blonde Female - Traveler(Liz)], based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Curly Hair Male - Partner(Felipe)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Curly Hair Male - Partner(Felipe)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Curly Hair Male - Partner(Felipe)]", "affective_state": {"object": "[Blonde Female - Traveler(Liz)]", "coarse_category": ["Sadness"], "fine_description": "Heartbroken sadness and pleading desperation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes full of pleading, slightly furrowed brows, downturned mouth, painful expression", "body_language": "Leaning forward, attempting to get closer to her", "vocal_cues": "Voice low and trembling, slow tempo, pleading tone", "verbal_content": "What's the problem... I mean I have the same fears... but I guess the only difference between you and I is that you are afraid to laugh again my darling... you have to look me in the eye and let me know the truth please do you love me or do you love me not."}}} {"unique_id": "MJIa6HS8Bmo_T1_1_0", "video_id": "MJIa6HS8Bmo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Hair - Friend]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Hair - Friend]. In the dimly lit indoor space, when [Blonde - Abby] recounts an interaction she had with a male, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Hair - Friend]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Hair - Friend]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Hair - Friend]", "affective_state": {"object": "[Blonde - Abby]", "coarse_category": ["Happiness"], "fine_description": "Felt excited and happy for her friend's blossoming romance.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling with teeth visible", "body_language": "Leans closer to [Blonde - Abby]", "vocal_cues": "Upbeat, slightly hushed (tone)", "verbal_content": "so you do like him"}}} {"unique_id": "MP414NY4kfA_T1_1_0", "video_id": "MP414NY4kfA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red Plaid Shirt - Sam]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Plaid Shirt - Sam]. When the woman in the grey coat arrives while Sam is dining with the elderly woman, based on the subject's observed facial expressions, body language and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Plaid Shirt - Sam]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Plaid Shirt - Sam]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Plaid Shirt - Sam]", "affective_state": {"object": "[Floral Shirt - Elderly Woman], [Grey Coat - Woman]", "coarse_category": ["Disgust"], "fine_description": "A mix of aversion and grievance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Pursed lips", "body_language": "Shaking head, tilting head away from the woman", "verbal_content": "I was invited."}}} {"unique_id": "MVRR0XlqA4g_T1_1_0", "video_id": "MVRR0XlqA4g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bearded Male - IRS Auditor(Therman)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bearded Male - IRS Auditor(Therman)]. When Barry refuses to grant permission for Therman to eat his pudding, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bearded Male - IRS Auditor(Therman)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bearded Male - IRS Auditor(Therman)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bearded Male - IRS Auditor(Therman)]", "affective_state": {"object": "[Bespectacled Male - Employee(Barry)]", "coarse_category": ["Anger"], "fine_description": "Frustration and anger aimed at breaking Barry's will.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Furrowed brows, wide eyes, gritting teeth", "vocal_cues": "Shouting, loud volume, emphatic stress", "verbal_content": "No Barry, I can make you say it but with your own free will say you can eat my pudding. Barry, I'm gonna eat it anyway."}}} {"unique_id": "Mh6PbpH9oPU_T1_1_1", "video_id": "Mh6PbpH9oPU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Teacher(Kate)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Teacher(Kate)]. In the school hallway, when a male colleague confronts the teacher about seeing her drink in her car, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Teacher(Kate)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Teacher(Kate)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Teacher(Kate)]", "affective_state": {"object": "[Glasses Male - Teacher]", "coarse_category": ["Embarrassment"], "fine_description": "The squirm of being caught drinking at work by a colleague and lectured over a cover story she cannot keep up.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, closing eyes, helpless smile, pursing lips", "vocal_cues": "Tone shifts from serious to gentle, slowed speech", "verbal_content": "I know that. uh"}}} {"unique_id": "Mh6PbpH9oPU_T1_2_0", "video_id": "Mh6PbpH9oPU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long-haired Female - Teacher(Kate)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Teacher(Kate)]. In the school hallway, when a male colleague approaches and states that he saw her drinking in her car that morning, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Teacher(Kate)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Teacher(Kate)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Teacher(Kate)]", "affective_state": {"object": "[Glasses Male - Teacher]", "coarse_category": ["Fear"], "fine_description": "Nervousness and fear.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning", "body_language": "Looking aside, shaking head", "vocal_cues": "Surprised tone", "verbal_content": "what? no"}}} {"unique_id": "Mm9Y9JEmekY_T1_1_0", "video_id": "Mm9Y9JEmekY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Career Woman(J.C. Wiatt)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Career Woman(J.C. Wiatt)]. In the airport terminal waiting area, when the [Brunette Female - Social Worker] hands [Baby - Elizabeth] to her, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Career Woman(J.C. Wiatt)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Career Woman(J.C. Wiatt)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Career Woman(J.C. Wiatt)]", "affective_state": {"object": "[Brunette Female - Social Worker]", "coarse_category": ["Surprise", "Anger"], "fine_description": "Overwhelming shock, disbelief, and rising frustration.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen significantly, mouth hangs open, expression shifts rapidly from polite anticipation to stunned shock.", "body_language": "Thrusts the baby back towards [Brunette Female - Social Worker]; spreads hands open in front of chest while demanding an explanation.", "vocal_cues": "Fast tempo, high pitch, tone filled with incredulity and panic.", "verbal_content": "What? Are you joking? I inherited a baby? From a cousin I haven't seen since 1954? No way, this is impossible."}}} {"unique_id": "MpaMbLDTxyY_T1_1_0", "video_id": "MpaMbLDTxyY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Haired Female - Housewife(Angela)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Haired Female - Housewife(Angela)]. In the kitchen, when Frank praises the boy's actions and searches for his revolver, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Haired Female - Housewife(Angela)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Haired Female - Housewife(Angela)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Haired Female - Housewife(Angela)]", "affective_state": {"object": "[White Shirt Black Vest Male - Husband(Frank)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "She feels a mix of deep anger and disgust at his values.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Cool sarcastic half-smile, eyes fixed on him, head tilted", "body_language": "Stops her actions, turns body towards husband, stares at him with a judgmental posture", "vocal_cues": "Icy tone, calm but heavy with sarcasm", "verbal_content": "That's great Frank. It's really great... It's not just the gun Frank, it's everything."}}} {"unique_id": "MpaMbLDTxyY_T1_2_1", "video_id": "MpaMbLDTxyY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Shirt Black Vest Male - Husband(Frank)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Black Vest Male - Husband(Frank)]. In the kitchen, while searching for his revolver and listening to Angela, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Black Vest Male - Husband(Frank)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Black Vest Male - Husband(Frank)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Black Vest Male - Husband(Frank)]", "affective_state": {"object": "[Curly Haired Female - Housewife(Angela)]", "coarse_category": ["Anger"], "fine_description": "He feels impatient annoyance and defensiveness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, eyes lowered to the floor while conceding", "body_language": "Rummages rapidly through drawers and cabinets, then stands still and gives an open-palmed shrug", "vocal_cues": "Fast-paced, elevated pitch, dismissive and argumentative tone", "verbal_content": "Angela, he's only a kid! All right, so I'll keep it locked up from now on!"}}} {"unique_id": "MsKaN_QrVT8_T1_1_0", "video_id": "MsKaN_QrVT8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly-haired Male - Guest(Paul)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly-haired Male - Guest(Paul)]. While he is on the phone trying to memorize a number and the hostess stands nearby shouting random numbers, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly-haired Male - Guest(Paul)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly-haired Male - Guest(Paul)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly-haired Male - Guest(Paul)]", "affective_state": {"object": "[Blonde Female - Hostess(Julie)]", "coarse_category": ["Anger", "Frustration"], "fine_description": "A mix of exasperation and anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, wandering eyes, trembling lips, tense facial muscles", "body_language": "Hangs up the phone abruptly, glares at the woman, leans forward", "vocal_cues": "Relatively calm but serious initially, then completely out of control, loud, accusing", "verbal_content": "What is wrong with you? Are you all right? I have had a terrible terrible night, do you understand? ... I don't want any entertainment."}}} {"unique_id": "MtXkoQBAhek_T1_1_0", "video_id": "MtXkoQBAhek", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Bearded Elderly Male - Gunman(Clay)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Bearded Elderly Male - Gunman(Clay)]. When the intruder recites the gunman's surveillance history while being held at gunpoint, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Bearded Elderly Male - Gunman(Clay)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Bearded Elderly Male - Gunman(Clay)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Bearded Elderly Male - Gunman(Clay)]", "affective_state": {"object": "[Black Jacket Middle-aged Male - Fugitive(Mike)]", "coarse_category": ["Surprise", "Anxiety"], "fine_description": "A mix of surprise at the information and anxious unease at how closely he has been tracked.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows stay slightly knitted, face grave and tense.", "body_language": "Stares intently, nods slightly, lowers the aimed gun.", "vocal_cues": "Voice trembles slightly.", "verbal_content": "See? That is the ubiquitous surveillance."}}} {"unique_id": "MtXkoQBAhek_T1_2_1", "video_id": "MtXkoQBAhek", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Bearded Elderly Male - Gunman(Clay)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Bearded Elderly Male - Gunman(Clay)]. While holding the man at gunpoint and being confronted with a familial revelation during the standoff, based on the subject's observed facial expressions and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Bearded Elderly Male - Gunman(Clay)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Bearded Elderly Male - Gunman(Clay)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Bearded Elderly Male - Gunman(Clay)]", "affective_state": {"object": "[Black Jacket Middle-aged Male - Fugitive(Mike)]", "coarse_category": ["Guilt", "Sadness"], "fine_description": "Heavy guilt and sorrow at his son's pointed words about the past.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Gaze drops, lips purse and expression softens.", "vocal_cues": "Audible sigh."}}} {"unique_id": "N0gOaE92ogg_T1_1_1", "video_id": "N0gOaE92ogg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Male - Proposer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Male - Proposer]. When the Proposer attempts to apologize and salvage the relationship while the Girlfriend refuses to discuss marriage, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Male - Proposer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Male - Proposer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Male - Proposer]", "affective_state": {"object": "[Floral Dress Female - Girlfriend]", "coarse_category": ["Sadness", "Fear"], "fine_description": "He feels intense fear and panic.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Tearful eyes, furrowed brows, downturned mouth, pained expression.", "body_language": "Hands on head, kneeling, leaning forward, displaying helplessness and breakdown.", "vocal_cues": "Trembling voice, fast pace, crying tone.", "verbal_content": "I ruined it. I f*ed this up. You're the love of my life. Please say yes. I'll do anything, just come back up. I'll propose again. Please, just switch your brain off. It's Willow. Please, I'm sorry. Please say yes. Say yes. Please, please, please, say yes."}}} {"unique_id": "N0gOaE92ogg_T1_2_0", "video_id": "N0gOaE92ogg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Floral Dress Female - Girlfriend]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Floral Dress Female - Girlfriend]. Right after she says yes, when the Proposer pulls a string to release a net of rose petals and the net falls without opening, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Floral Dress Female - Girlfriend]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Floral Dress Female - Girlfriend]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Floral Dress Female - Girlfriend]", "affective_state": {"object": "[Curly Male - Proposer]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "Feeling amusement and a sudden release of stress", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Pupils dilate in surprise, then quickly transitions to open-mouthed laughter.", "body_language": "Springs up from the bed with both hands raised beside her face, fingers spread, then throws her arms up; later sways slightly as she laughs.", "vocal_cues": "Bursts into uncontrollable laughter that is mocking yet affectionate.", "verbal_content": "What the fuck was that?"}}} {"unique_id": "NOBzBMiSY2U_T1_1_0", "video_id": "NOBzBMiSY2U", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Shirt Male - Resident]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Male - Resident]. When the Visitor confronts the Resident regarding his purchase of children's clothing, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Male - Resident]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Male - Resident]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Male - Resident]", "affective_state": {"object": "[Black Jacket Male - Visitor]", "coarse_category": ["Fear"], "fine_description": "Intense anxiety and panic accompanied by defensive indignation regarding his financial status.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Fixed toothy smile, raised brows, wide eyes held on the Visitor.", "body_language": "Leaning back, slightly retreating, hands natural but held in a guarded posture.", "vocal_cues": "Voice choked with guilt, clearing throat (nervous tone).", "verbal_content": "Yeah, why? Is it a crime to shop there? I can't afford to buy suits from Brooks Brothers."}}} {"unique_id": "NRBLTtDkQXU_T1_1_0", "video_id": "NRBLTtDkQXU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Shirt Male - Husband(Gary)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Shirt Male - Husband(Gary)]. In the living room, when the colleague asks why he wasn't transparent about his past, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Shirt Male - Husband(Gary)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Shirt Male - Husband(Gary)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Shirt Male - Husband(Gary)]", "affective_state": {"object": "[Blue Shirt Female - Colleague]", "coarse_category": ["Anger"], "fine_description": "Defensive anger and indignation mixed with panic.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Leaning forward, hand gestures emphasizing words, aggressive posture", "vocal_cues": "Low volume, accusing tone", "verbal_content": "What the... Look, who I do or what the [hell] I do in my life is not your concern. You understand that? This is between my wife and I."}}} {"unique_id": "NZ-u1BXI0YQ_T1_1_0", "video_id": "NZ-u1BXI0YQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bespectacled Male - Lawyer(James)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bespectacled Male - Lawyer(James)]. During the cross-examination, when questioning the Warden about the prisoner's confinement, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bespectacled Male - Lawyer(James)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bespectacled Male - Lawyer(James)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bespectacled Male - Lawyer(James)]", "affective_state": {"object": "[Bald Elderly Male - Warden(Humson)]", "coarse_category": ["Anger"], "fine_description": "Righteous indignation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, staring sharply at the Warden, gritting teeth, face flushed with agitation", "body_language": "Leaning on the witness-box rail toward the Warden, raised fist and pointing finger, aggressive posture", "vocal_cues": "Accelerated speech rate, raised volume, accusatory stress (tone)", "verbal_content": "You know nothing about a man who was left to die in a dungeon for three and a half years, did you? Absolutely nothing!"}}} {"unique_id": "NZ-u1BXI0YQ_T1_2_1", "video_id": "NZ-u1BXI0YQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bald Elderly Male - Warden(Humson)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Elderly Male - Warden(Humson)]. In the Courtroom, when the Lawyer presents documentary evidence contradicting the subject's testimony, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Elderly Male - Warden(Humson)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Elderly Male - Warden(Humson)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Elderly Male - Warden(Humson)]", "affective_state": {"object": "[Bespectacled Male - Lawyer(James)]", "coarse_category": ["Fear"], "fine_description": "Panic and dread of public exposure.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Sweating on forehead, shifting eyes, slight twitching of the mouth corner", "body_language": "Seated stiffly in the witness box, hands on the rail, turning toward the Lawyer, attempting to maintain composure", "vocal_cues": "Slowed speech rate, lowered volume, severe stuttering", "verbal_content": "He tried to... they tried to escape... that-that-that's the thing you see..."}}} {"unique_id": "OFDJnI4RczY_T1_1_0", "video_id": "OFDJnI4RczY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Architect(Gia)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Architect(Gia)]. During the property tour, when the wife confronts her, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Architect(Gia)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Architect(Gia)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Architect(Gia)]", "affective_state": {"object": "[Brunette Female - Wife(Anastasia)]", "coarse_category": ["Embarrassment"], "fine_description": "A deep sense of embarrassment and shame.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Avoiding eye contact, eyes widening, smile stiffening, frequent blinking", "body_language": "Stands still facing Ana, lowers her gaze, then glances back as Christian returns", "vocal_cues": "Voice becomes weaker and less confident compared to the beginning", "verbal_content": "I'm sorry Mrs. Grey but I would never it won't happen again"}}} {"unique_id": "OFDJnI4RczY_T1_2_1", "video_id": "OFDJnI4RczY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Brunette Female - Wife(Anastasia)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brunette Female - Wife(Anastasia)]. While the architect tours the property with the couple, when she persistently flirts with the husband and ignores the wife, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brunette Female - Wife(Anastasia)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brunette Female - Wife(Anastasia)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brunette Female - Wife(Anastasia)]", "affective_state": {"object": "[Blonde Female - Architect(Gia)]", "coarse_category": ["Disgust", "Anger"], "fine_description": "Anger mixed with contempt for the architect's lack of professionalism.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Sharp gaze, tight lips, raised eyebrows, cold expression", "body_language": "Standing upright, arms crossed, dominant posture, stepping towards the architect", "vocal_cues": "Steady speed but icy tone, conveying unquestionable authority", "verbal_content": "Stop speaking to my husband as if I weren't here. You may call me Mrs. Grey and this is not a prestige project this is gonna be our home so if you want this job I suggest you stop making eyes at my husband and keep your hands to yourself or you can go and climb back into your color car and drive back to Seattle it's up to you"}}} {"unique_id": "OFDJnI4RczY_T1_3_2", "video_id": "OFDJnI4RczY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Brunette Female - Wife(Anastasia)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brunette Female - Wife(Anastasia)]. While the architect tours the property with the couple and interacts with the husband, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brunette Female - Wife(Anastasia)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brunette Female - Wife(Anastasia)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brunette Female - Wife(Anastasia)]", "affective_state": {"object": "[Blonde Female - Architect(Gia)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Disgust and jealousy.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Pursed lips, clenched jaw, eyes darting between the two", "body_language": "Stiff body, arms held close, slightly rapid breathing, coughing"}}} {"unique_id": "OLw7cIJApMI_T1_1_0", "video_id": "OLw7cIJApMI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Pink Top - Protagonist]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Pink Top - Protagonist]. In the bedroom/dressing room, when one companion makes a comment about her body, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Pink Top - Protagonist]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Pink Top - Protagonist]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Pink Top - Protagonist]", "affective_state": {"object": "[Blue Top - Companion]", "coarse_category": ["Embarrassment", "Fear"], "fine_description": "A complex mix of shock, humiliation, insecurity, and intimidation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Serious expression", "body_language": "Looks down at her own clothes", "verbal_content": "Why"}}} {"unique_id": "Oa6OoTVXG6E_T1_1_0", "video_id": "Oa6OoTVXG6E", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Curly Hair Male - Grandpa]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Curly Hair Male - Grandpa]. When Charlie returns home and reveals the Golden Ticket, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Curly Hair Male - Grandpa]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Curly Hair Male - Grandpa]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Curly Hair Male - Grandpa]", "affective_state": {"object": "[Blonde Boy - Charlie]", "coarse_category": ["Happiness", "Surprise"], "fine_description": "A surge of miraculous vitality and ecstatic joy that physically revitalizes him.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, corners of mouth raised high, facial muscles tense with an excited smile.", "body_language": "Leans body forward, spreads hands open, and engages in exaggerated celebratory gestures.", "vocal_cues": "Singing loudly with rising intonation, voice full of passion and energy.", "verbal_content": "I never thought my life could be anything but catastrophe but suddenly I begin to see a bit of good luck for me cuz I've Got a Golden Ticket!"}}} {"unique_id": "OflOQW_pkvc_T1_1_0", "video_id": "OflOQW_pkvc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Student]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Student]. In the biology lab, when the male student dismisses her concerns and accuses her of jealousy, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Student]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Student]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Student]", "affective_state": {"object": "[Blue and Yellow Striped Shirt Male - Student]", "coarse_category": ["Anger"], "fine_description": "A sharp surge of frustration and anger directed at his stupidity and insults.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Baring teeth, mouth slightly open", "body_language": "Picks up a frog and slaps it onto the male student's face", "vocal_cues": "Scornful tone", "verbal_content": "Jerk"}}} {"unique_id": "OrxsZHRGxRc_T1_1_0", "video_id": "OrxsZHRGxRc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Middle-aged Male - Patient]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Male - Patient]. In the hospital exam room, when the patient presses the intern for a specific diagnosis regarding his brain scan, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Male - Patient]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Male - Patient]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Male - Patient]", "affective_state": {"object": "[Young Female - Intern]", "coarse_category": ["Fear", "Anger"], "fine_description": "A volatile mix of existential dread regarding his mortality and aggressive frustration at the doctor's avoidance.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp and intense gaze, downturned mouth", "body_language": "Leaning forward, hands spreading in a questioning gesture", "vocal_cues": "Accelerated tempo, increased volume, sharp and demanding tone", "verbal_content": "What are you scared of? It's not your brain. Just look at the scan and tell me, is it big? And the location? Please."}}} {"unique_id": "OzUtt05RWec_T1_1_0", "video_id": "OzUtt05RWec", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Suit - Program Director]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Suit - Program Director]. When the Program Director shows the Officer a video of Demarco and explains the impact of his death on his mother, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Suit - Program Director]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Suit - Program Director]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Suit - Program Director]", "affective_state": {"object": "[Deceased Son - Demarco]", "coarse_category": ["Sadness"], "fine_description": "Feels profound grief and solemnity while advocating for the mother.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Solemn gaze, downturned mouth, slightly red eyes", "body_language": "Leaning forward slightly, moving gently while showing the phone video", "vocal_cues": "Low voice, slow tempo, choking up (tone)", "verbal_content": "Then he gets killed by senseless violence. What do you think that kind of loss does to a mother?"}}} {"unique_id": "OzUtt05RWec_T1_2_1", "video_id": "OzUtt05RWec", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Uniform - Officer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Uniform - Officer]. While the Officer listens to the Program Director detail the tragic death of Tanisha's son, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Uniform - Officer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Uniform - Officer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Uniform - Officer]", "affective_state": {"object": "[Mother - Tanisha]", "coarse_category": ["Sadness"], "fine_description": "Feels a deep sense of empathy and compassion for the mother's situation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, pursed lips, sharp gaze", "body_language": "Leaning forward slightly, looking intently at the phone screen", "vocal_cues": "Tone softens significantly, losing hardness, with a hint of pleading", "verbal_content": "Where's Tanisha? But she needs to get off the street before somebody else dies."}}} {"unique_id": "PLOSA5L0dxE_T1_1_0", "video_id": "PLOSA5L0dxE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Male - Student(Jared)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Male - Student(Jared)]. In the office, when the counselor interrogates the student about his writing and reading list, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Male - Student(Jared)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Male - Student(Jared)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Male - Student(Jared)]", "affective_state": {"object": "[Bespectacled Middle-aged Male - Counselor(Sykes)]", "coarse_category": ["Fear"], "fine_description": "A deep sense of anxiety and fear regarding the consequences of not complying.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes welling with tears, pursed lips, blinking, mouth slightly open, gazing pitifully at the counselor.", "body_language": "Sits up slightly."}}} {"unique_id": "PxKcm6wWUJ0_T1_1_1", "video_id": "PxKcm6wWUJ0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Male - Boyfriend(Finn)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Male - Boyfriend(Finn)]. In a private moment, when the Girlfriend questions the Boyfriend's reluctance to be intimate, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Male - Boyfriend(Finn)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Male - Boyfriend(Finn)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Male - Boyfriend(Finn)]", "affective_state": {"object": "[Long Hair Female - Girlfriend(Maya)]", "coarse_category": ["Sadness"], "fine_description": "A mix of deep inferiority, humiliation, and defensive anger, fearing inevitable rejection.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Teary-eyed", "vocal_cues": "Volume increases, speed increases (tone)", "verbal_content": "Why did you tell everybody at your party that my mother and your grandfather were old old friends... I mean why couldn't you just tell people the truth about me? Are you embarrassed that I'm not rich... sooner or later you're going to get bored screwing the poor boy at the party."}}} {"unique_id": "PxtWLnapq24_T1_1_0", "video_id": "PxtWLnapq24", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Shirt Female - Connie]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Shirt Female - Connie]. In the nighttime parking lot, after Bill reveals that he already knew she was an imposter, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Shirt Female - Connie]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Shirt Female - Connie]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Shirt Female - Connie]", "affective_state": {"object": "[Black Coat Male - Bill]", "coarse_category": ["Anger", "Surprise"], "fine_description": "A mix of stunned disbelief and rising indignation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Closes eyes briefly then opens them wide in shock, frowns, squints at the man, then smiles in disbelief.", "body_language": "Tilts head slightly, shakes head slightly.", "vocal_cues": "(Surprised tone, low volume) Scoffs/laughs.", "verbal_content": "What? You knew?"}}} {"unique_id": "Q3JqdmUTsLI_T1_1_1", "video_id": "Q3JqdmUTsLI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Plaid Suit Male - Adam]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Plaid Suit Male - Adam]. At the outdoor art installation, when Emma rejects the gesture, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Plaid Suit Male - Adam]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Plaid Suit Male - Adam]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Plaid Suit Male - Adam]", "affective_state": {"object": "[Beige Coat Female - Emma]", "coarse_category": ["Frustration", "Anger"], "fine_description": "A mix of grievance and confusion regarding her emotional unavailability.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes look confused and hurt, corners of mouth turned down.", "body_language": "Shrugs while explaining his point of view.", "verbal_content": "What are you gonna do? You're never gonna feel anything? How are you gonna do that?"}}} {"unique_id": "Q3JqdmUTsLI_T1_2_0", "video_id": "Q3JqdmUTsLI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Beige Coat Female - Emma]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Beige Coat Female - Emma]. At the outdoor art installation area, when Adam attempts to initiate a romantic moment, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Beige Coat Female - Emma]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Beige Coat Female - Emma]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Beige Coat Female - Emma]", "affective_state": {"object": "[Plaid Suit Male - Adam]", "coarse_category": ["Fear", "Anger"], "fine_description": "Fear of vulnerability masked by defensive anger.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Puzzled and serious.", "body_language": "Shrugs while questioning.", "verbal_content": "I don't need you to take care of me. I take care of myself. That's what I do. Why don't you go find some other girl who's not gonna hurt you?"}}} {"unique_id": "Q9Vl1VGj0LE_T1_1_1", "video_id": "Q9Vl1VGj0LE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bearded Middle-aged Male - Father(Richard)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bearded Middle-aged Male - Father(Richard)]. After the severe car crash, when the father and son emerge from the wreckage, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bearded Middle-aged Male - Father(Richard)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bearded Middle-aged Male - Father(Richard)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bearded Middle-aged Male - Father(Richard)]", "affective_state": {"object": "[Curly-haired Young Male - Son(Rick)]", "coarse_category": ["Sadness", "Fear"], "fine_description": "Deep sorrow over the child he has already lost and fear of losing his son too to the drug world.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Facial muscles collapse from angry tension into a mix of relief and sorrow; face wet with rain and tears, eyes looking tender and pained.", "body_language": "Walks unsteadily towards his son, opens his arms to lock him in a tight embrace, rocking his body slightly to offer comfort.", "vocal_cues": "Tone shifts from previous roaring anger to a low, sobbing whisper, filled with cherish for his family.", "verbal_content": "I already lost Donnie. I can't lose you too."}}} {"unique_id": "Q9Vl1VGj0LE_T1_2_0", "video_id": "Q9Vl1VGj0LE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Curly-haired Young Male - Son(Rick)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly-haired Young Male - Son(Rick)]. Outside their crashed car at night, while arguing with his father about how they are living, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly-haired Young Male - Son(Rick)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly-haired Young Male - Son(Rick)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly-haired Young Male - Son(Rick)]", "affective_state": {"object": "[Bearded Middle-aged Male - Father(Richard)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A volatile mix of desperate helplessness regarding their future and intense anger at his father's obstinacy.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed tight, eyes shining with a complex mix of pleading and angry tears.", "body_language": "Stands by the wrecked car, frequently spreading hands and gesturing wildly to showcase the dilapidated surroundings.", "vocal_cues": "Voice pitch raised high, trembling with agitation, speaking very rapidly with a crying undertone.", "verbal_content": "Look at this shit! Look how we're living! We gotta do something dad! We gotta make some money!"}}} {"unique_id": "QAiVcQifKfE_T1_1_0", "video_id": "QAiVcQifKfE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Hair Female - Captive(Casey)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Hair Female - Captive(Casey)]. In the dim basement, when she initiates a conversation with Hedwig, based on the subject's observed facial expression, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Hair Female - Captive(Casey)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Hair Female - Captive(Casey)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Hair Female - Captive(Casey)]", "affective_state": {"object": "[Bald Male - Captor(Hedwig)]", "coarse_category": ["Fear"], "fine_description": "Nervousness and tension.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Mouth slightly open, glint of tears.", "vocal_cues": "Whispering, calm, solemn tone.", "verbal_content": "wait we heard something ...you're not around Dennis and the lady talk about it they talk about how he wants a boy this"}}} {"unique_id": "QAiVcQifKfE_T1_2_1", "video_id": "QAiVcQifKfE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bald Male - Captor(Hedwig)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Captor(Hedwig)]. When Casey speaks to him about the other personalities' plans, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Captor(Hedwig)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Captor(Hedwig)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Captor(Hedwig)]", "affective_state": {"object": "[Bald Male - Personality(Dennis)]", "coarse_category": ["Fear"], "fine_description": "Anxiety and fear regarding his own safety and status.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning brows, tears welling up and falling.", "body_language": "Shaking head slightly in disbelief, leaning body forward, asking eagerly.", "vocal_cues": "Steady tone but with a questioning inflection, moderate speed, clear voice, attempting to control the dialogue.", "verbal_content": "but but Mr Dennis he said that he followed those two girls for 4 days and that he knew that they were the ones that that that he would ..."}}} {"unique_id": "QB-h-R9xmWA_T1_1_1", "video_id": "QB-h-R9xmWA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Emma]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Emma]. In the carriage, when Mr. Elton declares his love for her and dismisses Harriet Smith, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Emma]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Emma]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Emma]", "affective_state": {"object": "[Black Suit Male - Mr. Elton]", "coarse_category": ["Disgust", "Surprise"], "fine_description": "A mix of shock at the revelation and disgust at his character.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen, eyes dart left and right, eyebrows slightly furrowed.", "body_language": "Turns eyes away, slowly turns head to the side to avoid eye contact."}}} {"unique_id": "QB-h-R9xmWA_T1_2_0", "video_id": "QB-h-R9xmWA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Suit Male - Mr. Elton]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Mr. Elton]. In the dim carriage interior, after Emma rejects his proposal, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Mr. Elton]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Mr. Elton]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Mr. Elton]", "affective_state": {"object": "[Blonde Female - Emma]", "coarse_category": ["Sadness", "Anger"], "fine_description": "Intense anger mixed with disappointment and humiliation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Expression of distress and anger.", "body_language": "Hand clutches chest, turns head to order the carriage to stop, then violently bangs the floor.", "vocal_cues": "Whispers initially, then yells loudly.", "verbal_content": "Stop the carriage... STOP THE CARRIAGE."}}} {"unique_id": "QCS1Gnwbtp0_T1_1_0", "video_id": "QCS1Gnwbtp0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Waitress(Maya)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Waitress(Maya)]. In the dimly lit living room, while Miles explains the intricacies of Pinot Noir wine, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Waitress(Maya)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Waitress(Maya)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Waitress(Maya)]", "affective_state": {"object": "[Balding Male - Wine Critic(Miles)]", "coarse_category": ["Happiness"], "fine_description": "A feeling of admiration and intellectual attraction towards his passion.", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Subtle smile at the corners of the mouth, serious and attentive eyes, lips occasionally parting.", "body_language": "Head tilted slightly to the side, maintaining a focused posture."}}} {"unique_id": "QP_o0yWJYKM_T1_1_1", "video_id": "QP_o0yWJYKM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Hair Female - Victim(Leah)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Hair Female - Victim(Leah)]. In the office, while the victim expresses her desperation to the detective, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Hair Female - Victim(Leah)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Hair Female - Victim(Leah)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Hair Female - Victim(Leah)]", "affective_state": {"object": "[White Shirt Male - Detective(Hansen)]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A mix of shock and indignation at his apparent casualness.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Mouth opens wide.", "body_language": "Tilts head to look at him, then leans back in the chair in disbelief.", "vocal_cues": "Incredulous tone, sighs.", "verbal_content": "Excuse me?"}}} {"unique_id": "QP_o0yWJYKM_T1_2_0", "video_id": "QP_o0yWJYKM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Shirt Male - Detective(Hansen)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Male - Detective(Hansen)]. In the office, when the victim rejects the detective's safety advice, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Male - Detective(Hansen)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Male - Detective(Hansen)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Male - Detective(Hansen)]", "affective_state": {"object": "[Black Hair Female - Victim(Leah)]", "coarse_category": ["Frustration"], "fine_description": "A sense of frustration and resignation regarding the situation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Purses lips, blinks.", "body_language": "Turns head away, avoiding eye contact.", "vocal_cues": "Low tone, slightly resigned.", "verbal_content": "Ok."}}} {"unique_id": "QRACf_ehgis_T1_1_1", "video_id": "QRACf_ehgis", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male - Prisoner(Oscar)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male - Prisoner(Oscar)]. In the prison visiting room, while outlining a future for his daughter to his mother, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male - Prisoner(Oscar)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male - Prisoner(Oscar)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male - Prisoner(Oscar)]", "affective_state": {"object": "[Black Female - Mother(Wanda)]", "coarse_category": ["Surprise", "Fear"], "fine_description": "Feeling a sudden shock that escalates into panicked desperation", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows knit together and eyes narrow, mouth opens slightly; expression shifts rapidly from joy to panic and pleading.", "body_language": "Leans body forward, posture appears weary, hand gestures become frantic and imploring.", "vocal_cues": "Rate of speech increases, volume rises, tone contains tremors and obvious panic.", "verbal_content": "What? Wait, wait, I know this is the last time for me too, I told you I ain't going down no more."}}} {"unique_id": "QRACf_ehgis_T1_2_0", "video_id": "QRACf_ehgis", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Female - Mother(Wanda)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Female - Mother(Wanda)]. In the prison visiting room, while listening to her son and observing the injuries on his face, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Female - Mother(Wanda)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Female - Mother(Wanda)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Female - Mother(Wanda)]", "affective_state": {"object": "[Black Male - Prisoner(Oscar)]", "coarse_category": ["Sadness"], "fine_description": "feeling a deep, heartbreaking grief", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes dart slightly, rims of eyes turn red, facial muscles stiffen.", "body_language": "Leans forward against the table, hands clasped together.", "vocal_cues": "Tone is low and slow but resolute, with a noticeable nasal quality.", "verbal_content": "I'm not coming here anymore. I'm not coming here for these visits anymore."}}} {"unique_id": "QUI-9FAwA8w_T1_1_0", "video_id": "QUI-9FAwA8w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Redhead Female - Student(Natalie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Student(Natalie)]. After [Dark-haired Male - Student(Colby)] interrupts her with a compliment, based on the subject's observed facial expression, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Student(Natalie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Student(Natalie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Student(Natalie)]", "affective_state": {"object": "[Dark-haired Male - Student(Colby)]", "coarse_category": ["Happiness", "Relief"], "fine_description": "A sudden release of tension (relief) followed by a shy, warm sense of happiness.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth lift slightly, eyes show surprise turning into a smile", "vocal_cues": "Disbelieving, quiet, lacking confidence", "verbal_content": "I do?"}}} {"unique_id": "QXruKKf3my4_T1_1_0", "video_id": "QXruKKf3my4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Male - Student(Chas)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Student(Chas)]. In the crowded university registration hall, when other students intervene and reject his request to cut the line, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Student(Chas)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Student(Chas)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Student(Chas)]", "affective_state": {"object": "[Dark Haired Male - Student]", "coarse_category": ["Anger", "Embarrassment"], "fine_description": "A mix of defensive anger and embarrassment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, stiff smile, shifting eyes.", "body_language": "Hands on hips, slight nodding."}}} {"unique_id": "QaiK0-CJoeo_T1_1_0", "video_id": "QaiK0-CJoeo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Shirt Male - Student(Josh)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Shirt Male - Student(Josh)]. When the Professor confronts the Student in the hallway and questions his intelligence, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Shirt Male - Student(Josh)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Shirt Male - Student(Josh)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Shirt Male - Student(Josh)]", "affective_state": {"object": "[Grey Suit Male - Professor(Radisson)]", "coarse_category": ["Fear", "Surprise"], "fine_description": "Fear and helplessness mixed with shock.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Shocked eyes, slightly constricted pupils, tense facial muscles, lips slightly parted.", "body_language": "Leaning back, hands clutching backpack straps, defensive posture.", "vocal_cues": "Trembling voice.", "verbal_content": "I never said I was smarter."}}} {"unique_id": "QaiK0-CJoeo_T1_2_1", "video_id": "QaiK0-CJoeo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Grey Suit Male - Professor(Radisson)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Suit Male - Professor(Radisson)]. In the school hallway, when the Professor confronts the Student, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Suit Male - Professor(Radisson)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Suit Male - Professor(Radisson)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Suit Male - Professor(Radisson)]", "affective_state": {"object": "[Grey Shirt Male - Student(Josh)]", "coarse_category": ["Anger"], "fine_description": "Anger and a desire for control.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, downturned mouth, tense facial muscles.", "body_language": "Leaning forward, emphatic gestures, dominant stance.", "vocal_cues": "Serious, threatening tone despite moderate volume.", "verbal_content": "Do not try to humiliate me in front of my students. I will make it my personal mission to destroy any hope of a degree in your future."}}} {"unique_id": "QmbLvFETIdY_T1_1_0", "video_id": "QmbLvFETIdY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark-haired Male - Driver]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-haired Male - Driver]. During the argument inside the vehicle, when the passenger admits to a drunken indiscretion and accuses him of past misconduct, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-haired Male - Driver]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-haired Male - Driver]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-haired Male - Driver]", "affective_state": {"object": "[Blonde Female - Passenger]", "coarse_category": ["Anger", "Disgust"], "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Lips pressed tight; angry and serious expression; avoids eye contact with the woman.", "body_language": "Chest heaving; slight hand gestures while speaking.", "vocal_cues": "Accelerated speech rate; volume increases drastically at 'I don't'.", "verbal_content": "No, you don't get to say this. You don't get to turn this around on me. Not... not this time. I said, don't."}}} {"unique_id": "QmbLvFETIdY_T1_2_1", "video_id": "QmbLvFETIdY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Passenger]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Passenger]. During the argument inside the vehicle, when the passenger speaks to the driver, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Passenger]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Passenger]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Passenger]", "affective_state": {"object": "[Dark-haired Male - Driver]", "coarse_category": ["Anger"], "fine_description": "Indignation at being made the guilty party by a man who did the same thing.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling while looking at the man; frowning to show contempt.", "vocal_cues": "Frivolous and showy tone.", "verbal_content": "Yeah, Mark, you know what? He can. If I really wanted to, you know what? He could have me. We... us... we're not a thing."}}} {"unique_id": "QqQYNj15OfI_T1_1_0", "video_id": "QqQYNj15OfI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Girl Reading - Geraldine]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Girl Reading - Geraldine]. In the bedroom, when Lizzy enters the room and accuses her of stealing the garden key, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Girl Reading - Geraldine]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Girl Reading - Geraldine]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Girl Reading - Geraldine]", "affective_state": {"object": "[Brown-haired Girl - Lizzy]", "coarse_category": ["Surprise", "Sadness"], "fine_description": "A mix of defensive surprise and distress at being accused of taking the key", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Glances left and right", "body_language": "Leans head forward to emphasize", "vocal_cues": "Emphasizes the word 'swear' (tone)", "verbal_content": "I didn't take it I swear... I'm telling you the truth"}}} {"unique_id": "QtfHohUZxHc_T1_1_0", "video_id": "QtfHohUZxHc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Paralegal]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Paralegal]. During the conversation in the office, when she brings up the phone call she made earlier, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Paralegal]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Paralegal]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Paralegal]", "affective_state": {"object": "[Blue Shirt Male - Lawyer]", "coarse_category": ["Happiness"], "fine_description": "A sense of playful malice or enjoyment derived from his potential discomfort.", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Pursed lips", "body_language": "Head tilted down, eyes lowered; stands casually holding a folder.", "vocal_cues": "Rising intonation", "verbal_content": "Oh yeah, how'd that go?"}}} {"unique_id": "Qz_hXpP1jEg_T1_1_0", "video_id": "Qz_hXpP1jEg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White V-neck Male - Husband(Roger)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White V-neck Male - Husband(Roger)]. When his friend Freddy arrives and proposes partying, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White V-neck Male - Husband(Roger)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White V-neck Male - Husband(Roger)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White V-neck Male - Husband(Roger)]", "affective_state": {"object": "[Yellow Hat Blue Polo Male - Friend(Freddy)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "He feels deep annoyance and frustration.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, facial muscles stiff and tense.", "body_language": "Leaning back slightly, shaking head slowly and firmly to express negation.", "vocal_cues": "Tone is cold, mechanical, and fast-paced.", "verbal_content": "No. Not really. No, because I gotta work. No."}}} {"unique_id": "Qz_hXpP1jEg_T1_2_1", "video_id": "Qz_hXpP1jEg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Yellow Hat Blue Polo Male - Friend(Freddy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Yellow Hat Blue Polo Male - Friend(Freddy)]. When Freddy arrives at the hallway and interacts with Roger, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Yellow Hat Blue Polo Male - Friend(Freddy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Yellow Hat Blue Polo Male - Friend(Freddy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Yellow Hat Blue Polo Male - Friend(Freddy)]", "affective_state": {"object": "[White V-neck Male - Husband(Roger)]", "coarse_category": ["Happiness"], "fine_description": "Feeling euphoric and eager to organize a party.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Earnest, eager look with wide eyes and slightly raised brows, mouth open in rapid talk; no smile.", "body_language": "Stands squarely in the doorway facing Roger, head turned toward him, little body movement.", "vocal_cues": "High-pitched tone, urgent and persuasive, speaking very fast.", "verbal_content": "That's a seven-day pass! Let's hang out! We got a party, we talk about it all the time!"}}} {"unique_id": "R0HGeVmyI5I_T1_1_1", "video_id": "R0HGeVmyI5I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Pink Scarf Female - Rival Member]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Pink Scarf Female - Rival Member]. In the University Hall, when her companion speaks up to join Zeta, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Pink Scarf Female - Rival Member]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Pink Scarf Female - Rival Member]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Pink Scarf Female - Rival Member]", "affective_state": {"object": "[Green Shirt Female - Defector]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A sudden shock mixed with outrage and disbelief.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, mouth wide open, showing teeth, clenching jaw.", "body_language": "Looks up, stares at companion, jerks her head back as the companion speaks.", "vocal_cues": "High-pitched, incredulous tone.", "verbal_content": "Are you out of your mind?"}}} {"unique_id": "R0HGeVmyI5I_T1_2_0", "video_id": "R0HGeVmyI5I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Suit Male - Official]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Official]. In the assembly room, when the pledge count stalls at 29 and he attempts to rally a final volunteer, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Official]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Official]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Official]", "affective_state": {"object": "[Crowd - Students]", "coarse_category": ["Happiness", "Anxiety"], "fine_description": "Excitement and eager anticipation.", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eager, urgent gaze directed at the crowd.", "body_language": "Points finger at the crowd, holds the gavel.", "vocal_cues": "Excited, encouraging tone.", "verbal_content": "One more. Just need one more. Come on everybody, one more. One more. Get your hand up. Come on."}}} {"unique_id": "RCaE3_UnFDI_T1_1_1", "video_id": "RCaE3_UnFDI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red Plaid Shirt Male - Bartender]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Plaid Shirt Male - Bartender]. Inside a bar, when a female customer confronts the bartender, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Plaid Shirt Male - Bartender]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Plaid Shirt Male - Bartender]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Plaid Shirt Male - Bartender]", "affective_state": {"object": "[Gray Hoodie Female - Customer]", "coarse_category": ["Surprise"], "fine_description": "A mix of shock at the sudden violence and grievance regarding the false accusation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, shocked eyes, mouth slightly open", "body_language": "Spreading hands, shaking head", "vocal_cues": "Tone of defense and confusion", "verbal_content": "What? Nothing happened between us."}}} {"unique_id": "RCaE3_UnFDI_T1_2_0", "video_id": "RCaE3_UnFDI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Gray Hoodie Female - Customer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Hoodie Female - Customer]. Inside a bar, when the bartender denies the female customer's accusation of sexual misconduct, based on the subject's observed facial expression, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Hoodie Female - Customer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Hoodie Female - Customer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Hoodie Female - Customer]", "affective_state": {"object": "[Red Plaid Shirt Male - Bartender]", "coarse_category": ["Surprise", "Embarrassment"], "fine_description": "Surprise mixed with awkwardness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Thoughtful expression, tilting head slightly, eyes glancing left and right, finally turns to smile", "body_language": "Arranging hair", "verbal_content": "So you're saying you and I didn't... Is there a flower shop in this town?"}}} {"unique_id": "REWaiDiKDIE_T1_1_0", "video_id": "REWaiDiKDIE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gold Dress Female - Daughter(Kayla)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gold Dress Female - Daughter(Kayla)]. When [Plaid Shirt Male - Father] bursts into the room and physically removes the boy, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gold Dress Female - Daughter(Kayla)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gold Dress Female - Daughter(Kayla)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gold Dress Female - Daughter(Kayla)]", "affective_state": {"object": "[Plaid Shirt Male - Father]", "coarse_category": ["Sadness", "Disgust"], "fine_description": "A mix of deep disappointment and frustration at being treated like a child.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning brows, eyes wide, nostrils flared, mouth open, gaze shifting.", "body_language": "Body sways, shakes head slightly then nods slightly, raises hands briefly to emphasize a point, then sits on the edge of the bed.", "vocal_cues": "Tearful tone, low pitch.", "verbal_content": "That really sucks."}}} {"unique_id": "RFqPiA2NZhY_T1_1_1", "video_id": "RFqPiA2NZhY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Wife(Fiona)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife(Fiona)]. When the husband confronts his wife about the lack of intimacy in their marriage and implies he intends to seek satisfaction elsewhere, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife(Fiona)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife(Fiona)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife(Fiona)]", "affective_state": {"object": "[Bald Male - Husband(Jack)]", "coarse_category": ["Sadness"], "fine_description": "A profound sense of heartbreak and despair.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Shakes head slightly left and right, corners of mouth tensed in a suppressed grimace, then closes eyes.", "body_language": "Holds her glasses in her lap."}}} {"unique_id": "RFqPiA2NZhY_T1_2_0", "video_id": "RFqPiA2NZhY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Wife(Fiona)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife(Fiona)]. When the husband reminisces about the past and touches her, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife(Fiona)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife(Fiona)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife(Fiona)]", "affective_state": {"object": "[Bald Male - Husband(Jack)]", "coarse_category": ["Disgust"], "fine_description": "A feeling of repulsion and rejection toward his touch.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Purses lips in annoyance.", "body_language": "Withdraws hand from the husband's grasp and looks away."}}} {"unique_id": "RHz9rXVt3cQ_T1_1_0", "video_id": "RHz9rXVt3cQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Redhead Female - Actress(Mia)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Actress(Mia)]. During the heated argument about career choices, when Sebastian becomes defensive, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Actress(Mia)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Actress(Mia)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Actress(Mia)]", "affective_state": {"object": "[Ash Blonde Male - Musician(Sebastian)]", "coarse_category": ["Sadness", "Surprise"], "fine_description": "A mix of profound shock, heartbreak, and grievance at being so cruelly misjudged by the person she loves.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes conveying confusion and hurt, lips parted in disbelief, expression tense, blinking frequently to hold back tears.", "body_language": "Leaning slightly forward, posture indicates an attempt to communicate and seek understanding despite the shock.", "vocal_cues": "Voice is low, broken, and trembling (tremolo), carrying a tone of utter disappointment.", "verbal_content": "Are you kidding?"}}} {"unique_id": "RHz9rXVt3cQ_T1_2_1", "video_id": "RHz9rXVt3cQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Ash Blonde Male - Musician(Sebastian)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Ash Blonde Male - Musician(Sebastian)]. In the dimly lit interior space, when Mia questions his happiness and mentions the band leader, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Ash Blonde Male - Musician(Sebastian)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Ash Blonde Male - Musician(Sebastian)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Ash Blonde Male - Musician(Sebastian)]", "affective_state": {"object": "[Redhead Female - Actress(Mia)]", "coarse_category": ["Anger"], "fine_description": "Defensive anger and resentment turning into a retaliatory outburst.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes lowered, jaw set, face tight and still.", "body_language": "Sits still at the table with head bowed, not looking at her.", "vocal_cues": "Low, cold, steady voice at a fast tempo, bitter and accusatory in tone.", "verbal_content": "Maybe you just liked me when I was on my ass because it made you feel better about yourself."}}} {"unique_id": "RVVBffj2v8o_T1_1_0", "video_id": "RVVBffj2v8o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[ShortHair - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [ShortHair - Mother]. Outdoors, after pleading with the [LongHair - Target] for assistance and facing resistance, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [ShortHair - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[ShortHair - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[ShortHair - Mother]", "affective_state": {"object": "[LongHair - Target]", "coarse_category": ["Anger"], "fine_description": "A mix of anger at the rejection and deep resentment (hate) toward the [LongHair - Target].", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Chin slightly raised, mouth closed tight.", "body_language": "Body leans back slightly, hand movements decrease, appearing powerless.", "vocal_cues": "Loud voice (threatening and blaming tone).", "verbal_content": "he's just gonna keep doing it"}}} {"unique_id": "RVVBffj2v8o_T1_2_1", "video_id": "RVVBffj2v8o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[LongHair - Target]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [LongHair - Target]. When the [ShortHair - Mother] requests financial aid citing her child's welfare, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [LongHair - Target]", "", "Answer Template:", "```json", "{", " \"subject\": \"[LongHair - Target]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[LongHair - Target]", "affective_state": {"object": "[ShortHair - Mother]", "coarse_category": ["Disgust", "Sadness"], "fine_description": "A blend of disgust at the hypocrisy and sadness for the underlying history.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "From serious sadness to a smile, then corners of mouth droop.", "vocal_cues": "Chuckles quietly; ends with a crying tone.", "verbal_content": "you know it's real interesting you want to stop him now that you need the money would have been really cool if you tried to stop him back in the day before I had the place"}}} {"unique_id": "R_nAa-dNKSU_T1_1_0", "video_id": "R_nAa-dNKSU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Pink Cardigan - Wife(Audrey)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Pink Cardigan - Wife(Audrey)]. In the bright indoor showroom, when the sales consultant reveals the specific conversion rate of their assets, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Pink Cardigan - Wife(Audrey)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Pink Cardigan - Wife(Audrey)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Pink Cardigan - Wife(Audrey)]", "affective_state": {"object": "[Beige Suit - Sales Consultant]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "A mix of stunned disbelief and exhilaration at the sudden prospect of becoming multi-millionaires.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth parts slightly; she shifts her gaze between [Male - Husband(Paul)] and the consultant. Subsequently smiles showing teeth.", "body_language": "Body shifts from leaning forward to leaning slightly back."}}} {"unique_id": "RkxAAilnLEI_T1_1_1", "video_id": "RkxAAilnLEI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Dark Hair Male - Racer(Jean Girard)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Dark Hair Male - Racer(Jean Girard)]. In the racetrack pit lane, when he confronts [White Shirt Male - Racer(Ricky Bobby)] and speaks to him, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Dark Hair Male - Racer(Jean Girard)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Dark Hair Male - Racer(Jean Girard)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Dark Hair Male - Racer(Jean Girard)]", "affective_state": {"object": "[White Shirt Male - Racer(Ricky Bobby)]", "coarse_category": ["Disgust", "Anger"], "fine_description": "A feeling of deep contempt and arrogance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Sincere serious look (feigned)", "vocal_cues": "Sincere serious tone (feigned)", "verbal_content": "What happened last week was a very regrettable and unfortunate and as a gesture I would like to um sign your cast please."}}} {"unique_id": "RkxAAilnLEI_T1_2_0", "video_id": "RkxAAilnLEI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Curly Dark Hair Male - Racer(Jean Girard)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Dark Hair Male - Racer(Jean Girard)]. Following the confrontation with Ricky, when Cal Naughton Jr. interjects, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Dark Hair Male - Racer(Jean Girard)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Dark Hair Male - Racer(Jean Girard)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Dark Hair Male - Racer(Jean Girard)]", "affective_state": {"object": "[Red Blue Suit Male - Racer(Cal)]", "coarse_category": ["Anger"], "fine_description": "Frustrated confusion and annoyance at the stupidity of the comment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Shaking head repeatedly", "vocal_cues": "Volume raised, questioning tone", "verbal_content": "What does that makes no sense shake and bake it's nonsense."}}} {"unique_id": "RmEZwxFSsWE_T1_1_0", "video_id": "RmEZwxFSsWE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey T-shirt Male - Father(Dusty)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey T-shirt Male - Father(Dusty)]. In the ornately decorated living room, when Santa announces that all the presents under the tree are from Brad and none are from Dusty, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey T-shirt Male - Father(Dusty)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey T-shirt Male - Father(Dusty)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey T-shirt Male - Father(Dusty)]", "affective_state": {"object": "[Red Suit Male - Santa]", "coarse_category": ["Anxiety", "Frustration"], "fine_description": "A mix of competitive insecurity and jealousy.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open, frowning while looking at Santa.", "body_language": "Standing silently in the corner.", "vocal_cues": "Tense tone, slightly stuttering.", "verbal_content": "Hey kids, let's... let's don't forget who got you a dog."}}} {"unique_id": "RmkFsYUz4cs_T1_1_0", "video_id": "RmkFsYUz4cs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Light Suit Male - Best Man]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Suit Male - Best Man]. During the wedding ceremony ring exchange, when the Officiant asks for the rings, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Suit Male - Best Man]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Suit Male - Best Man]\",", " \"affective_state\": {", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Suit Male - Best Man]", "affective_state": {"coarse_category": ["Fear"], "fine_description": "A sudden surge of panic and frantic anxiety.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen, lips part slightly, revealing an expression of urgent embarrassment and shock.", "body_language": "Hands frantically pat and search vest and pants pockets; body sways slightly with nervous energy.", "vocal_cues": "Pitch rises and becomes hurried, with breathless panic.", "verbal_content": "I don't know where I put them..."}}} {"unique_id": "RmxqK1np7rY_T1_1_0", "video_id": "RmxqK1np7rY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Male - Partner(Luke)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Partner(Luke)]. In the bedroom, when he wakes his partner to propose and presents a ring, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Partner(Luke)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Partner(Luke)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Partner(Luke)]", "affective_state": {"object": "[Blonde Female - Partner(Isabel)]", "coarse_category": ["Happiness"], "fine_description": "Deep joy and tender hope.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes moist, corners of mouth raised, smile trembling, gaze full of expectation and tenderness.", "body_language": "Leans forward close to his partner, holds her hand lightly, then places the ring on her finger with gentle but firm movements.", "vocal_cues": "Voice slightly choked/tearful, speaking slowly and affectionately.", "verbal_content": "I think two people have to live that decision every day... Will you marry me?"}}} {"unique_id": "RmxqK1np7rY_T1_2_1", "video_id": "RmxqK1np7rY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Partner(Isabel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Partner(Isabel)]. When her partner wakes her to propose and explains his belief that marriage is a 'daily choice', based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Partner(Isabel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Partner(Isabel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Partner(Isabel)]", "affective_state": {"object": "[Bald Male - Partner(Luke)]", "coarse_category": ["Happiness"], "fine_description": "Surprise mixed with overwhelming happiness and affection.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Transitions from contemplation to smiling, eyes gradually moistening, finally nodding with a sincere and warm smile.", "body_language": "Leans body forward slightly, holds his hand lightly, nodding gently but firmly.", "vocal_cues": "Voice soft, slightly choked/tearful; tone is firm and gentle when saying 'Yes'.", "verbal_content": "Yes."}}} {"unique_id": "SCPnwrNznTI_T1_1_0", "video_id": "SCPnwrNznTI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Chef - Carl]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Chef - Carl]. When Marvin engages him in a chaotic conversation oscillating rapidly between discussing office carpets and personal insecurities, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Chef - Carl]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Chef - Carl]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Chef - Carl]", "affective_state": {"object": "[Eccentric Man - Marvin]", "coarse_category": ["Surprise"], "fine_description": "A state of bewilderment and awkwardness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Frowning, nodding hesitantly.", "vocal_cues": "Fast-paced, flustered tone", "verbal_content": "Are we... No, we're talking about the carpet now, or are we talking about the, um..."}}} {"unique_id": "SD86_k19Rx8_T1_1_0", "video_id": "SD86_k19Rx8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey-Haired Male - Retired Detective]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey-Haired Male - Retired Detective]. When the Mother attempts to destroy his beehives, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey-Haired Male - Retired Detective]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey-Haired Male - Retired Detective]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey-Haired Male - Retired Detective]", "affective_state": {"object": "[Curly-Haired Female - Mother]", "coarse_category": ["Sadness"], "fine_description": "A deep sense of sorrow for the boy and the mother's suffering, mixed with the pain of being misunderstood.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes red, lips trembling, expression heavy and sad.", "body_language": "Leaning slightly forward, holding a cane, movements slow and heavy.", "vocal_cues": "Voice low, husky, slow tempo, with suppressed sorrow.", "verbal_content": "No, no... no, no, you mustn't do that... No, I care about Roger. I care about him very much."}}} {"unique_id": "SD86_k19Rx8_T1_2_1", "video_id": "SD86_k19Rx8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Curly-Haired Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly-Haired Female - Mother]. When the Mother speaks to the Retired Detective regarding her son and the bees, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly-Haired Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly-Haired Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly-Haired Female - Mother]", "affective_state": {"object": "[Grey-Haired Male - Retired Detective]", "coarse_category": ["Anger"], "fine_description": "Overwhelming rage fueled by devastating grief and a sense of betrayal.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide and teary, brows furrowed, mouth open wide as she cries out, expression angry.", "body_language": "Leaning forward, holding a red basket (smoker), movements abrupt.", "vocal_cues": "Voice high-pitched, fast tempo, with intense emotion.", "verbal_content": "My son won't wake, he may never wake... You didn't even have the decency to tell me what had happened to him... I'm his mother... and you stole him from me... Why wasn't it you... The bees were not to blame? They're all you care about."}}} {"unique_id": "SDesztIj8Kc_T1_1_0", "video_id": "SDesztIj8Kc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Light Top - Abby]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Top - Abby]. During a dinner date, when [Dark Suit - Buddy] admits to being \"bad with relationships,\" based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Top - Abby]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Top - Abby]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Top - Abby]", "affective_state": {"object": "[Dark Suit - Buddy]", "coarse_category": ["Sadness"], "fine_description": "A sense of letdown and disappointment that the date has turned into a warning session.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile fades completely, expression becomes serious with pursed lips; eventually forces a smile and raises eyebrows.", "body_language": "Lowers head to adjust position.", "verbal_content": "I get it you're bad with relationships and as a person who's standing in the road ahead of you thanks I'll be uh getting on the sidewalk now"}}} {"unique_id": "SM2LxRKqYR8_T1_1_1", "video_id": "SM2LxRKqYR8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Heiress(Joanna)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Heiress(Joanna)]. In the yard in front of a rustic cabin, when she walks out of the house and encounters Grant, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Heiress(Joanna)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Heiress(Joanna)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Heiress(Joanna)]", "affective_state": {"object": "[Blonde Female - Heiress(Joanna)]", "coarse_category": ["Happiness"], "fine_description": "Overwhelming relief and ecstatic joy at knowing who she is again.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, corners of mouth raised in a bright smile, expression of pure excitement.", "body_language": "Hands clasped together, leaning forward slightly, displaying a posture of excitement and gratitude.", "vocal_cues": "Fast tempo, rising intonation, filled with joy.", "verbal_content": "Oh God, I remember! I remember I'm Joanna Stayton! Oh Dean, I'm cured! I can remember again!"}}} {"unique_id": "SM2LxRKqYR8_T1_2_0", "video_id": "SM2LxRKqYR8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Brown Jacket Male - Carpenter(Dean)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Jacket Male - Carpenter(Dean)]. In the yard in front of a rustic cabin, when Joanna's memory returns and the scheme unravels, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Jacket Male - Carpenter(Dean)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Jacket Male - Carpenter(Dean)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Jacket Male - Carpenter(Dean)]", "affective_state": {"object": "[Blonde Female - Heiress(Joanna)]", "coarse_category": ["Guilt"], "fine_description": "Deep shame and a sense of defeat.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, averting gaze, corners of mouth turned down, pained expression.", "body_language": "Stands still facing her, hands hanging loosely, posture appears powerless and dejected.", "vocal_cues": "Silence or low murmurs."}}} {"unique_id": "SM2LxRKqYR8_T1_3_2", "video_id": "SM2LxRKqYR8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Blonde Female - Heiress(Joanna)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Heiress(Joanna)]. In the yard in front of a rustic cabin, after the initial moment of remembering, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Heiress(Joanna)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Heiress(Joanna)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Heiress(Joanna)]", "affective_state": {"object": "[Brown Jacket Male - Carpenter(Dean)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Intense anger and disgust at being used.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Joyful smile vanishes instantly, eyes turn cold and judgmental, brows furrow, teeth clenched.", "body_language": "Slowly lets go of the embrace, stands still facing him at close range, then turns and walks away toward the house.", "vocal_cues": "Tone drops significantly, becoming cold and biting, heavy articulation on every word.", "verbal_content": "Why did you do that? I know why... You're that sweaty carpenter who hates me. And these are your children and you made me believe them... You tricked me. You used me."}}} {"unique_id": "SN_U0Pc9YKU_T1_1_1", "video_id": "SN_U0Pc9YKU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Editor(Alice)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Editor(Alice)]. In the office, when Milan spots her and initiates a greeting, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Editor(Alice)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Editor(Alice)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Editor(Alice)]", "affective_state": {"object": "[Grey Shirt Male - Author(Milan)]", "coarse_category": ["Fear", "Embarrassment"], "fine_description": "A mix of fear, social awkwardness, and disgust.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Forced smile with corners of mouth raised.", "body_language": "Takes a deep breath; turns head away during the hug.", "vocal_cues": "Awkward simple laugh.", "verbal_content": "Hum.."}}} {"unique_id": "SN_U0Pc9YKU_T1_2_0", "video_id": "SN_U0Pc9YKU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Editor(Alice)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Editor(Alice)]. While Milan discusses the submission of his new book draft with the senior editor, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Editor(Alice)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Editor(Alice)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Editor(Alice)]", "affective_state": {"object": "[Grey Shirt Male - Author(Milan)]", "coarse_category": ["Anxiety", "Sadness"], "fine_description": "A feeling of deep discomfort and heaviness.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Mouth twitches slightly, then raises eyebrows and blinks to acknowledge."}}} {"unique_id": "SOR9UOc-alI_T1_1_0", "video_id": "SOR9UOc-alI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Wife(Mickey)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife(Mickey)]. In the kitchen, when she confronts Frank about his failure to pay the ransom or contact the police, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife(Mickey)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife(Mickey)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife(Mickey)]", "affective_state": {"object": "[Grey-haired Male - Husband(Frank)]", "coarse_category": ["Anger", "Fear"], "fine_description": "Intense anger and betrayal mixed with lingering fear.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, tight lips", "body_language": "Deliberately pushes a cup onto the floor to break it", "vocal_cues": "Accelerated tempo, rising pitch, questioning tone", "verbal_content": "Okay did you go to the police? What if they weren't bluffing?"}}} {"unique_id": "SW-1sk_U8vU_T1_1_0", "video_id": "SW-1sk_U8vU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Hair Female - Suspect(Rachel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Hair Female - Suspect(Rachel)]. During the interrogation, when Detective Riley reveals that Rachel was fired a year ago due to alcoholism, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Hair Female - Suspect(Rachel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Hair Female - Suspect(Rachel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Hair Female - Suspect(Rachel)]", "affective_state": {"object": "[Female - Detective(Riley)]", "coarse_category": ["Fear", "Surprise"], "fine_description": "A mix of shock, shame, and fear of consequences.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, empty stare, frozen expression."}}} {"unique_id": "S_lcxLCaxAw_T1_1_0", "video_id": "S_lcxLCaxAw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short Curly Hair Female - Woman]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Curly Hair Female - Woman]. In the backseat of a car at night, when the man attempts to force intimacy upon her, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Curly Hair Female - Woman]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Curly Hair Female - Woman]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Curly Hair Female - Woman]", "affective_state": {"object": "[Grey Bearded Male - Man]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Intense anger and disgust directed at the man's predatory behavior.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Face tight, brows furrowed, sharp gaze, lips pursed then opening to scold.", "body_language": "Pushes him away forcefully, waves arms, leans back to create distance.", "vocal_cues": "Sharp, rapid voice with a threatening tone.", "verbal_content": "Oh I'm gonna break more than that if you try that again."}}} {"unique_id": "S_lcxLCaxAw_T1_2_1", "video_id": "S_lcxLCaxAw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Short Curly Hair Female - Woman]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Curly Hair Female - Woman]. During the physical struggle, when she accidentally pulls the hairpiece off the man's head, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Curly Hair Female - Woman]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Curly Hair Female - Woman]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Curly Hair Female - Woman]", "affective_state": {"object": "[Grey Bearded Male - Man]", "coarse_category": ["Happiness", "Surprise"], "fine_description": "Surprise shifting quickly into mocking amusement and laughter.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes wide, mouth open staring at the man, then breaking into laughter.", "vocal_cues": "Pitch rises, volume increases, sounding very happy/amused.", "verbal_content": "Oh my god it's true haha...."}}} {"unique_id": "SjSIFJbDbWE_T1_1_0", "video_id": "SjSIFJbDbWE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Brown Curly Hair Female - Student(Bella)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Brown Curly Hair Female - Student(Bella)]. In the school parking lot, when Jacob interrupts to give her a birthday present, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Brown Curly Hair Female - Student(Bella)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Brown Curly Hair Female - Student(Bella)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Brown Curly Hair Female - Student(Bella)]", "affective_state": {"object": "[Long Black Hair Male - Student(Jacob)]", "coarse_category": ["Fear", "Happiness"], "fine_description": "A mix of gratitude, social embarrassment, and underlying anxiety.", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open, faint polite smile", "body_language": "Slight squat/bob, displaying awkwardness and tension", "verbal_content": "perfect um thank you"}}} {"unique_id": "SjSIFJbDbWE_T1_2_1", "video_id": "SjSIFJbDbWE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long Brown Curly Hair Female - Student(Bella)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Brown Curly Hair Female - Student(Bella)]. In the school parking lot, when Jacob mentions that he knows it is her birthday, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Brown Curly Hair Female - Student(Bella)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Brown Curly Hair Female - Student(Bella)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Brown Curly Hair Female - Student(Bella)]", "affective_state": {"object": "[Long Black Hair Male - Student(Jacob)]", "coarse_category": ["Frustration"], "fine_description": "Resigned irritation that her birthday has already been passed around against her wishes.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth down, eyes looking away", "body_language": "Takes a deep breath"}}} {"unique_id": "Sr3ELrfkYx0_T1_1_0", "video_id": "Sr3ELrfkYx0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[LightGreenShirt - Teddy]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [LightGreenShirt - Teddy]. During the heated confrontation at the party, when Ian challenges his support for his uncle, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [LightGreenShirt - Teddy]", "", "Answer Template:", "```json", "{", " \"subject\": \"[LightGreenShirt - Teddy]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[LightGreenShirt - Teddy]", "affective_state": {"object": "[DarkShirt - Ian]", "coarse_category": ["Anger"], "fine_description": "A mix of defensive anger, indignation at being judged, and hurt regarding the ultimatum.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widened, mouth open", "body_language": "Shaking head to show disagreement, pointing finger at the other person", "vocal_cues": "Fast pace, high pitch, tension (tone)", "verbal_content": "and what are you doing using gay to meanwhile to think like you you expect me to stand for stuff i've never even thought about or if i did you know what ninety percent of the time i probably agree with my uncle but this isn't about politics for machine this is my life i knew when i came out i'd lose people i cared about like my dad and now i have one chance to still have a family and i'm not gonna let it slip by even if it means losing people like you"}}} {"unique_id": "SuEt5n-k0e8_T1_1_0", "video_id": "SuEt5n-k0e8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male in Tank Top - Dealer(Leroy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male in Tank Top - Dealer(Leroy)]. In the dimly lit basement area, when [Blue Jacket Male - Distributor(Matthew)] tries to walk away, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male in Tank Top - Dealer(Leroy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male in Tank Top - Dealer(Leroy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male in Tank Top - Dealer(Leroy)]", "affective_state": {"object": "[Blue Jacket Male - Distributor(Matthew)]", "coarse_category": ["Anger"], "fine_description": "Aggressive anger and hostility.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Serious, threatening expression", "body_language": "Raises arms and grabs the collar of [Blue Jacket Male - Distributor(Matthew)] as he tries to leave", "vocal_cues": "Low, severe tone with increasing speed and threat", "verbal_content": "You strike the first blow now it's my turn."}}} {"unique_id": "T0cNy3l6Zek_T1_1_0", "video_id": "T0cNy3l6Zek", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red T-shirt Male - Suitor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red T-shirt Male - Suitor]. After Amanda refuses his offer in front of bystanders, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red T-shirt Male - Suitor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red T-shirt Male - Suitor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red T-shirt Male - Suitor]", "affective_state": {"object": "[Long Brown Hair Female - Amanda]", "coarse_category": ["Surprise", "Embarrassment"], "fine_description": "A mix of shock at the refusal, social awkwardness due to the audience, and defensive irritation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen in disbelief, followed by a scornful smile; eyes shift evasively, lets out a scoffing laugh.", "body_language": "Sways body side to side, turns around restlessly, glances at the surroundings and then back at her."}}} {"unique_id": "T4wxOGDv980_T1_1_0", "video_id": "T4wxOGDv980", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Suit - Defendant(Nino)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Suit - Defendant(Nino)]. During the cross-examination, when he faces questioning from the prosecutor, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Suit - Defendant(Nino)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Suit - Defendant(Nino)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Suit - Defendant(Nino)]", "affective_state": {"object": "[Yellow Jacket - Prosecutor(Hawkins)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "He feels a deep sense of grievance and resentment towards the social inequality, as well as disgust at the hypocrisy of the justice system.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Earnest, aggrieved look with brows slightly raised and drawn together, eyes fixed on the prosecutor, mouth open as he speaks.", "body_language": "Sits upright and still in the witness box while pleading; rises to his feet and gestures emphatically when naming Kareem Akbar.", "vocal_cues": "Loud, confrontational tone; emphasizes 'Miss Hawkins' with palpable sarcasm and disdain.", "verbal_content": "Hey look I've been dealing drugs ever since I was 12 years old... see I don't have the chances that you have Miss Hawkins... I wasn't born with a silver spoon in my mouth Miss Hawkins... [Identifies Kareem Akbar as the real head of CMB]"}}} {"unique_id": "T8p-csSeveI_T1_1_0", "video_id": "T8p-csSeveI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Reporter(Lexie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Reporter(Lexie)]. In the train sleeper car compartment, when Dodge reveals his presence from the upper bunk, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Reporter(Lexie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Reporter(Lexie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Reporter(Lexie)]", "affective_state": {"object": "[Striped Pajamas Male - Colleague(Dodge)]", "coarse_category": ["Guilt", "Surprise"], "fine_description": "Shock mixed with the acute shame of being seen half-naked", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen, brows raise high, then quickly furrow in distress", "body_language": "Turns back quickly to hide from the observer, moving hurriedly to cover herself with pajamas", "vocal_cues": "Voice slightly trembling, fast pace", "verbal_content": "Oh! You've got a lot of moxie! I'm calling the porter."}}} {"unique_id": "T8p-csSeveI_T1_2_1", "video_id": "T8p-csSeveI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Light Suit Male - Suitor(Carter)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Suit Male - Suitor(Carter)]. When Carter escorts Lexie to her cabin door and pauses to ask for her validation regarding a recent business decision, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Suit Male - Suitor(Carter)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Suit Male - Suitor(Carter)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Suit Male - Suitor(Carter)]", "affective_state": {"object": "[Blonde Female - Reporter(Lexie)]", "coarse_category": ["Happiness"], "fine_description": "A sense of relief and warm happiness at being understood and supported", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Brows relax, mouth corners lift in a slight but genuine smile, eyes bright", "body_language": "Body relaxes slightly, tension leaves his posture, head nods slightly in gratitude", "vocal_cues": "Tone is gentle, carrying a sense of relief", "verbal_content": "Well, I'm glad."}}} {"unique_id": "T9laczL58cw_T1_1_0", "video_id": "T9laczL58cw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[ShortHairedFemale - YoungWoman]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [ShortHairedFemale - YoungWoman]. While investigating a suspicious hole behind a picture frame, when she discovers an eye staring back at her from the other side, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [ShortHairedFemale - YoungWoman]", "", "Answer Template:", "```json", "{", " \"subject\": \"[ShortHairedFemale - YoungWoman]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[ShortHairedFemale - YoungWoman]", "affective_state": {"object": "[UnknownEntity - Watcher]", "coarse_category": ["Fear", "Surprise"], "fine_description": "A sudden shock of terror and panic.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Pupils dilated, terrified gaze, facial muscles tensed, mouth wide open.", "body_language": "Falls off the chair, retreats rapidly while screaming, grips a handgun tightly, stiff movements.", "vocal_cues": "Screams in terror."}}} {"unique_id": "TBHjt3AyALw_T1_1_0", "video_id": "TBHjt3AyALw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Shirtless Male - Racer(Muzzin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Shirtless Male - Racer(Muzzin)]. When he interrupts the conversation between Sarah and Jerome, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Shirtless Male - Racer(Muzzin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Shirtless Male - Racer(Muzzin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Shirtless Male - Racer(Muzzin)]", "affective_state": {"object": "[Blue Shirt Female - Sarah]", "coarse_category": ["Disgust", "Anger"], "fine_description": "A sense of aggressive superiority and haughty contempt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Cold, hard stare fixed on Sarah, jaw set, chin slightly raised, no smile.", "body_language": "Stands squarely in the road facing Sarah, holding his ground while Jerome stands at his shoulder.", "vocal_cues": "Fast-paced, increased volume, threatening tone.", "verbal_content": "Make him bleed before I beat him... make him die in the mountains."}}} {"unique_id": "TBHjt3AyALw_T1_2_1", "video_id": "TBHjt3AyALw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blue Shirt Female - Sarah]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Shirt Female - Sarah]. While Sarah catches up with Jerome, when Muzzin intervenes to speak about Marcus and question her judgment, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Shirt Female - Sarah]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Shirt Female - Sarah]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Shirt Female - Sarah]", "affective_state": {"object": "[Curly Hair Shirtless Male - Racer(Muzzin)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Explosive anger mixed with deep revulsion.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Sharp gaze, tense and rigid facial muscles.", "body_language": "Slams the car door angrily, then picks up a large rock as a weapon.", "vocal_cues": "Raised volume, aggressive and warning tone.", "verbal_content": "Fall for a rabid dog like you... take this damn cannibal out of my face before I kill him."}}} {"unique_id": "TQCnMb3rnY4_T1_1_0", "video_id": "TQCnMb3rnY4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Suit Male - Husband]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Suit Male - Husband]. In the kitchen, when the subject bursts in and approaches Frank, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Suit Male - Husband]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Suit Male - Husband]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Suit Male - Husband]", "affective_state": {"object": "[Khaki Workwear Male - Frank]", "coarse_category": ["Anger"], "fine_description": "He feels intense righteous indignation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, intense glare", "body_language": "Approaches Frank step-by-step, pointing a finger directly at him in an aggressive, accusatory posture", "vocal_cues": "Rapid speech rate, raised volume, (interrogative and threatening tone)", "verbal_content": "I know what he's doing I wasn't born yesterday he's not fixing your car he's screwing you yo are screwing my wife and I can see what the game is..."}}} {"unique_id": "TVCb5-gI9as_T1_1_0", "video_id": "TVCb5-gI9as", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray Hair Male - Husband(Frank)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Hair Male - Husband(Frank)]. While discussing the ransom demands for his kidnapped wife with his mistress, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Hair Male - Husband(Frank)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Hair Male - Husband(Frank)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Hair Male - Husband(Frank)]", "affective_state": {"object": "[Redhead Female - Mistress(Melanie)]", "coarse_category": ["Fear"], "fine_description": "A state of frantic anxiety and overwhelming dread regarding the outcome.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, heavy gaze, slightly parted lips, serious expression.", "body_language": "Leaning forward, hands clasped on knees, tense posture.", "vocal_cues": "Slightly fast pace, low and urgent tone.", "verbal_content": "Or if I couldn't get to the bank for some reason and didn't make the payment on time, then what?"}}} {"unique_id": "TVCb5-gI9as_T1_2_1", "video_id": "TVCb5-gI9as", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Redhead Female - Mistress(Melanie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Mistress(Melanie)]. While the husband discusses hypotheticals about the ransom, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Mistress(Melanie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Mistress(Melanie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Mistress(Melanie)]", "affective_state": {"object": "[Gray Hair Male - Husband(Frank)]", "coarse_category": ["Frustration"], "fine_description": "Mild impatience with his slowness, within a cool, controlled manner.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Sharp and focused gaze, highly calm facial muscles, almost no emotional fluctuation.", "body_language": "Sitting very steadily, maintaining eating rhythm, slow and elegant movements.", "vocal_cues": "Steady and slow pace, extremely cold tone.", "verbal_content": "Not you, sweetie. I mean... where would they be if she were dead?"}}} {"unique_id": "ThpV4osXuCk_T1_1_0", "video_id": "ThpV4osXuCk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Black Male - Passenger]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Black Male - Passenger]. In the airport hall, when the passenger interacts with the staff regarding a refund after missing a flight, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Black Male - Passenger]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Black Male - Passenger]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Black Male - Passenger]", "affective_state": {"object": "[Yellow Vest Male - Staff]", "coarse_category": ["Anger"], "fine_description": "Intense outrage and frustration directed at the staff member.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, wide eyes, tense facial muscles, mouth open wide while shouting", "body_language": "Frequently waving arms, leaning forward, pointing fingers, displaying an aggressive posture", "vocal_cues": "High volume, rapid speech rate, questioning and repetitive tone", "verbal_content": "I want my money. ... Why should I write to customer service? I didn't have to write to you to pay for it."}}} {"unique_id": "ThpV4osXuCk_T1_2_1", "video_id": "ThpV4osXuCk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Yellow Vest Male - Staff]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Yellow Vest Male - Staff]. In the airport hall, when the staff member attempts to enforce company policy regarding a missed flight but faces resistance and shouting from a passenger, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Yellow Vest Male - Staff]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Yellow Vest Male - Staff]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Yellow Vest Male - Staff]", "affective_state": {"object": "[Bald Black Male - Passenger]", "coarse_category": ["Anger"], "fine_description": "Exasperation and rising anger.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Tense facial muscles, downturned mouth corners, sharp gaze, serious expression", "body_language": "Stepping back, raising hands in a defensive gesture, then turning to security for assistance", "vocal_cues": "Accelerated speech rate, increased volume, impatient and warning tone", "verbal_content": "\"Because you were too late for the flight! That's why! Finished! Write to customer services, that's it!\""}}} {"unique_id": "Tk1L3jBM0gU_T1_1_0", "video_id": "Tk1L3jBM0gU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Jacket Male - Agent]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Jacket Male - Agent]. On the residential street, when the journalist intervenes to livestream the confrontation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Jacket Male - Agent]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Jacket Male - Agent]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Jacket Male - Agent]", "affective_state": {"object": "[Pink Sweater Female - Journalist(Sherry)]", "coarse_category": ["Fear"], "fine_description": "A mix of frustration, stress, and rising panic.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows", "body_language": "Spreads hands in an explanatory or warning gesture", "vocal_cues": "Fast-paced speech", "verbal_content": "You can't film this."}}} {"unique_id": "TlB_1W-qc14_T1_1_0", "video_id": "TlB_1W-qc14", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Young Female - Daughter]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Young Female - Daughter]. In the family kitchen and living room, when the daughter reveals her decision to have a baby to her mother, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Young Female - Daughter]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Young Female - Daughter]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Young Female - Daughter]", "affective_state": {"object": "[Dark Short Hair Middle-aged Female - Mother]", "coarse_category": ["Sadness"], "fine_description": "A deep sense of grievance and sadness, mixed with a pleading desperation for support.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Serious, sincere", "vocal_cues": "Persuasive, pleading tone, slow tempo, sincere, cracking voice", "verbal_content": "I'm going to be very very careful... I'm going to have a baby and I wish you'd be happy too"}}} {"unique_id": "U4r9ePA6RkQ_T1_1_0", "video_id": "U4r9ePA6RkQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Shirt - Male(Recipient)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Shirt - Male(Recipient)]. When colleagues surprise a male employee with Enchroma glasses at his desk, and he unwraps the gift and puts on the corrective lenses while the group watches in anticipation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Shirt - Male(Recipient)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Shirt - Male(Recipient)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Shirt - Male(Recipient)]", "affective_state": {"object": "[Denim Jacket - Female(Colleague)], [Blue Grey Top - Female(Colleague)]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "A state of overwhelming shock and disbelief mixed with intense joy.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen, corners of mouth lift slightly, expression shifts from focus to astonishment.", "body_language": "Turns away from the group toward his desk and hunches forward, then covers face with hands or holds forehead.", "vocal_cues": "Pitch rises sharply with tremors and rapid breathing.", "verbal_content": "Holy shit! Oh my god! (Tone: Overwhelmed/Shocked)"}}} {"unique_id": "U6F17M80QBE_T1_1_1", "video_id": "U6F17M80QBE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Ponytail Female - Former Employee(Jane)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Ponytail Female - Former Employee(Jane)]. In the office seating area, when Jacqueline informs her that the budget for her position has been reallocated, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Ponytail Female - Former Employee(Jane)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Ponytail Female - Former Employee(Jane)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Ponytail Female - Former Employee(Jane)]", "affective_state": {"object": "[Blonde Short Hair Female - Boss(Jacqueline)]", "coarse_category": ["Sadness", "Surprise"], "fine_description": "A mix of sudden shock, disappointment, and hurt pride.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open, eyes widened, then gradually forcing a smile", "body_language": "Sitting on the sofa, slight vertical body movement", "vocal_cues": "Disappointed sigh; surprised tone on 'Oh'", "verbal_content": "Oh. Okay. Um..."}}} {"unique_id": "U6F17M80QBE_T1_2_0", "video_id": "U6F17M80QBE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Short Hair Female - Boss(Jacqueline)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Short Hair Female - Boss(Jacqueline)]. In the office seating area, when Jane persists after the initial rejection and uses flattery, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Short Hair Female - Boss(Jacqueline)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Short Hair Female - Boss(Jacqueline)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Short Hair Female - Boss(Jacqueline)]", "affective_state": {"object": "[Dark Ponytail Female - Former Employee(Jane)]", "coarse_category": ["Happiness", "Disgust"], "fine_description": "Self-satisfaction mixed with mild contempt.", "polarity": "Mixed", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Expression of enjoyment, eyes glancing upward, smiling", "body_language": "Slight nodding", "vocal_cues": "Light, relaxed tone", "verbal_content": "I could ask, and I could... probably get the money."}}} {"unique_id": "UBOcWFBBB04_T1_1_0", "video_id": "UBOcWFBBB04", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Shirt - Son(Jim)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt - Son(Jim)]. At the police station, while [Black Suit - Father(Frank)] and [Fur Coat - Mother(Carol)] are arguing, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt - Son(Jim)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt - Son(Jim)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt - Son(Jim)]", "affective_state": {"object": "[Black Suit - Father(Frank)], [Fur Coat - Mother(Carol)]", "coarse_category": ["Sadness"], "fine_description": "Intense anguish, desperation, and a feeling of being torn apart.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Face distorted, eyes teary", "body_language": "Head down, curled up, hands covering ears, waving hands wildly, pointing at parents", "vocal_cues": "Painful screaming, agitated and rapid tone", "verbal_content": "You're tearing me apart! You, you say one thing, he says another, and everybody changes back again."}}} {"unique_id": "UPu0PU6sLxo_T1_1_0", "video_id": "UPu0PU6sLxo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Male - Clerk]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Clerk]. In the gun shop, when the female customer requests to buy a single bullet, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Clerk]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Clerk]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Clerk]", "affective_state": {"object": "[Black Hair Female - Customer]", "coarse_category": ["Fear", "Anxiety"], "fine_description": "A feeling of alarm and deep concern for the customer's safety.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Narrowed sideways glance with pressed lips, then a sober, concerned look with lips slightly parted", "body_language": "Head straightens from a tilted position"}}} {"unique_id": "US_k_-8HBNY_T1_1_0", "video_id": "US_k_-8HBNY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Suit Male - Suitor(Bill)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Suit Male - Suitor(Bill)]. When the woman is packing to leave the house, based on the subject's observed vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Suit Male - Suitor(Bill)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Suit Male - Suitor(Bill)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Suit Male - Suitor(Bill)]", "affective_state": {"object": "[Navy Shirt Female - Mother(Connie)]", "coarse_category": ["Anxiety"], "fine_description": "A feeling of nervous urgency and desperation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"vocal_cues": "Fast pace, trembling tone, nervous tone", "verbal_content": "I don't think so. I I think you're still welcome. Is it my fault? Is it about the other night? That kiss... that was just sort of a sister-in-law brother-in-law kind of kiss."}}} {"unique_id": "UkDKxprXy_0_T1_1_0", "video_id": "UkDKxprXy_0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark-Haired Female - Sister(Lucille)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-Haired Female - Sister(Lucille)]. In the dimly lit room, while recounting the abusive history she shared with her brother and coercing the victim to sign legal documents, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-Haired Female - Sister(Lucille)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-Haired Female - Sister(Lucille)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-Haired Female - Sister(Lucille)]", "affective_state": {"object": "[Blonde Female - Victim(Edith)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "Deep grief over her suffering mixed with vindictive anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes moist, lips trembling, brows furrowed, expression painful yet resolute.", "body_language": "Leans body slightly forward, hand holding the pen tightly, movements slow but firm.", "vocal_cues": "Voice low, trembling, carrying suppressed anger and sorrow.", "verbal_content": "all this horror for what the money to keep the Mansion the sharp name the minds the marriages were for money of course but the horror the horror was for love the things we do for love like this are ugly mad full of sweat and regret this Love Burns you and mes you twists you inside out it is a monstrous love and it makes Monsters of us all but you should have seen him as a child Thomas he was perfect so from all his small infractions from my mother's canine protected him I took so many beatings and when she found out about us well the only love Thomas and I ever knew was from one another in these rotting walls hiding sign your name sign your bloody name such a CA condescending man he loved you you should have seen his sad face when I smashed it on the sink"}}} {"unique_id": "UkDKxprXy_0_T1_2_1", "video_id": "UkDKxprXy_0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Victim(Edith)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Victim(Edith)]. When [Dark-Haired Female - Sister(Lucille)] reveals the dark family history and holds out a pen for her to sign the papers, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Victim(Edith)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Victim(Edith)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Victim(Edith)]", "affective_state": {"object": "[Dark-Haired Female - Sister(Lucille)]", "coarse_category": ["Fear"], "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide, pupils contracted, facial muscles tense, expression terrified."}}} {"unique_id": "UkIwAAKv_iA_T1_1_0", "video_id": "UkIwAAKv_iA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Top - Wife(Linda)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Top - Wife(Linda)]. When the wife asks her husband to say a blessing over the meatloaf she served and he says he is thankful he got the smallest piece of meat, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Top - Wife(Linda)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Top - Wife(Linda)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Top - Wife(Linda)]", "affective_state": {"object": "[Red Sweater - Husband(Arthur)]", "coarse_category": ["Frustration"], "fine_description": "A feeling of exasperation and annoyance.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Pursed lips, rolling eyes", "body_language": "Turns head away from the others; leans back against the chair, resting left hand on the chair back"}}} {"unique_id": "Ux6L0eRqDGY_T1_1_0", "video_id": "Ux6L0eRqDGY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Male - Jack]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Jack]. In the public restroom, when he enters and discovers Nancy with Sean who is partially undressed, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Jack]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Jack]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Jack]", "affective_state": {"object": "[Brunette Female - Nancy], [Bald Male - Sean]", "coarse_category": ["Disgust", "Anger"], "fine_description": "A mix of revulsion at the situation and anger at being deceived", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning", "body_language": "Turning away, shrugging, leaning forward, raising hands in a defensive posture", "vocal_cues": "Accelerated tempo, trembling voice, emotional tone", "verbal_content": "No, you don't have to explain. I thought we had a connection, but clearly you still have something for Sean here."}}} {"unique_id": "V-vgoh3ukPc_T1_1_0", "video_id": "V-vgoh3ukPc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Girl - Jordan(Child)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Girl - Jordan(Child)]. In the elevator, when the boy pushes her back and knocks her to the floor, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Girl - Jordan(Child)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Girl - Jordan(Child)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Girl - Jordan(Child)]", "affective_state": {"object": "[Boy - Neighbor]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A mix of shock at her vulnerability and fury at the boy's insolence.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Mouth open wide", "body_language": "Immediately gets up from the ground"}}} {"unique_id": "VBDxuSpU75A_T1_1_0", "video_id": "VBDxuSpU75A", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Pregnant Woman(Julie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Pregnant Woman(Julie)]. Beside a brick archway in a park, after her partner confirms that their unborn baby is a girl, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Pregnant Woman(Julie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Pregnant Woman(Julie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Pregnant Woman(Julie)]", "affective_state": {"object": "[Unborn Child - Daughter]", "coarse_category": ["Fear", "Surprise"], "fine_description": "Initial shock that rapidly escalates into overwhelming panic, dread, and self-loathing.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen.", "body_language": "Gradually crouches down, hands tightly gripping her partner's shoulders, body trembling slightly.", "vocal_cues": "Voice trembling with a crying tone.", "verbal_content": "I can't have a daughter. What if she doesn't like me? She won't like my hair... she screams at the sound of my voice."}}} {"unique_id": "VNwDNCuG2vo_T1_1_0", "video_id": "VNwDNCuG2vo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Patient(Heather)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Patient(Heather)]. In the hospital ward, when the officer questions the patient's mental clarity and the doctor interjects to confirm no adverse reactions, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Patient(Heather)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Patient(Heather)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Patient(Heather)]", "affective_state": {"object": "[Blonde Female - Patient(Heather)]", "coarse_category": ["Happiness"], "fine_description": "A mix of happiness about her health and smug pride at being proven right.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Tight, closed-lip smile, lips pressed, glancing sidelong at the doctor"}}} {"unique_id": "VXrByUBhP4M_T1_1_0", "video_id": "VXrByUBhP4M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother(Susanna)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother(Susanna)]. When [Grey Sweater Male - Father(Theo)] confronts her with the second phone, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother(Susanna)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother(Susanna)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother(Susanna)]", "affective_state": {"object": "[Grey Sweater Male - Father(Theo)]", "coarse_category": ["Fear"], "fine_description": "A mix of apprehension, guilt, and nervousness regarding the exposure of her secret.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen staring at him, mouth slightly open, then gaze drops downwards, corners of mouth droop.", "body_language": "Turns head to look away into the distance, avoids direct eye contact with him.", "vocal_cues": "Sighing tone, weak voice intensity.", "verbal_content": "Yeah, it's exhausting."}}} {"unique_id": "VXx_DVHO0go_T1_1_0", "video_id": "VXx_DVHO0go", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit Male - Passerby]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Passerby]. At the public phone booth, when he steps on the woman's hand while she bends down to pick up loose change, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Passerby]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Passerby]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Passerby]", "affective_state": {"object": "[Blonde Female - Caller]", "coarse_category": ["Guilt"], "fine_description": "Intense guilt and immediate concern for the woman's well-being.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning tightly, closing eyes as if unable to look, face scrunched up, mouth slightly open.", "body_language": "Turning head away to avoid looking at the damage.", "vocal_cues": "Apologetic, pained tone.", "verbal_content": "Oh~"}}} {"unique_id": "VXx_DVHO0go_T1_2_1", "video_id": "VXx_DVHO0go", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Caller]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Caller]. After her nails are broken and her sleeve is ripped by a passerby, when she sits down and accidentally sits on an open soda can, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Caller]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Caller]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Caller]", "affective_state": {"object": "[Blonde Female - Caller]", "coarse_category": ["Surprise", "Sadness"], "fine_description": "Initial shock followed by a deep sense of defeat and despair.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Mouth drops open and eyes widen in shock, then brows furrow, mouth remains slightly open, eyes close briefly before staring blankly downwards with drooping gaze.", "body_language": "Body stiffens in shock, then goes limp and slumps, sighing, keeping the phone receiver at her ear, and leaning head against the wall.", "vocal_cues": "High-pitched scream.", "verbal_content": "Ah"}}} {"unique_id": "VZM1S9VcjAM_T1_1_1", "video_id": "VZM1S9VcjAM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Braided Girl - Lizzy]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Braided Girl - Lizzy]. When she discusses her parents and the roses with [Hat-Wearing Woman - Lady Mary], based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Braided Girl - Lizzy]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Braided Girl - Lizzy]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Braided Girl - Lizzy]", "affective_state": {"object": "[Deceased Mother]", "coarse_category": ["Sadness"], "fine_description": "Deep grief and longing for her mother.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes cast down, lips slightly pursed, expression tinged with sorrow", "body_language": "Sits still on the bench with hands down, head slightly lowered, glancing up at Lady Mary", "vocal_cues": "Slow speech rate, low pitch, with a slight tremble", "verbal_content": "have to leave my mama's roses ... promise"}}} {"unique_id": "VZM1S9VcjAM_T1_2_0", "video_id": "VZM1S9VcjAM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Hat-Wearing Woman - Lady Mary]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Hat-Wearing Woman - Lady Mary]. By a bench in the garden, while sharing her own childhood story of losing her parents and being sent to England, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Hat-Wearing Woman - Lady Mary]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Hat-Wearing Woman - Lady Mary]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Hat-Wearing Woman - Lady Mary]", "affective_state": {"object": "[Braided Girl - Lizzy]", "coarse_category": ["Sadness"], "fine_description": "Empathy and compassion for the girl's situation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Gentle eyes, serious expression with slightly drawn brows, full of care", "body_language": "Leaning slightly forward, gentle hand movements, showing listening and empathy", "vocal_cues": "Soft tone, moderate speed, soothing", "verbal_content": "I understand how you feel when I was a girl your age I came to missile threat from India I just lost my parents too they died in an epidemic so I was to be raised in a faraway place called England by a distant relative"}}} {"unique_id": "VhC39orxSYI_T1_1_0", "video_id": "VhC39orxSYI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Dress - Guide(Hannah)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Dress - Guide(Hannah)]. When [Glasses - Professor] interrupts to correct her errors regarding dates and names in front of the group, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Dress - Guide(Hannah)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Dress - Guide(Hannah)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Dress - Guide(Hannah)]", "affective_state": {"object": "[Glasses - Professor]", "coarse_category": ["Fear", "Embarrassment"], "fine_description": "A mix of nervousness, embarrassment, and defensive awkwardness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen in discomfort, followed by rapid blinking and a tight, forced smile.", "body_language": "Fidgets by picking at fingernails; glances nervously at other guests to gauge their reaction."}}} {"unique_id": "VhC39orxSYI_T1_2_1", "video_id": "VhC39orxSYI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blue Dress - Guide(Hannah)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Dress - Guide(Hannah)]. In the vintage style living room, when [Glasses - Professor] reveals his credentials, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Dress - Guide(Hannah)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Dress - Guide(Hannah)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Dress - Guide(Hannah)]", "affective_state": {"object": "[Glasses - Professor]", "coarse_category": ["Sadness", "Surprise"], "fine_description": "A sudden sense of shock followed by defeat and resignation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes look down in defeat/shame.", "body_language": "Turns head away slightly.", "vocal_cues": "Deflated, disappointed tone.", "verbal_content": "Oh"}}} {"unique_id": "VlLHMWFVgvk_T1_1_0", "video_id": "VlLHMWFVgvk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Female - Daughter(Erica)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Female - Daughter(Erica)]. In the kitchen, when she confronts her mother with a bag of rotten fruit and challenges her to identify the spoiled items, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Female - Daughter(Erica)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Female - Daughter(Erica)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Female - Daughter(Erica)]", "affective_state": {"object": "[Silver-haired Female - Mother(Ruth)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "A mix of extreme helplessness, disgust, and frustration.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows and tight lips; when her mother takes the bag back, she rolls her eyes sideways in exasperation.", "body_language": "Freezes while holding a milk carton, then slumps her shoulders in a gesture of total defeat.", "vocal_cues": "Tone is incredulous and challenging (sarcastic), ending in a sharp, frustrated silence.", "verbal_content": "Seriously? Seriously, identify the fruit and I'll put them back."}}} {"unique_id": "Vqyc-7Hj8bw_T1_1_0", "video_id": "Vqyc-7Hj8bw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Long Hair Female - Journalist(Jody)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Long Hair Female - Journalist(Jody)]. While the journalist is on a high-stakes phone call with actress Ashley Judd, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Long Hair Female - Journalist(Jody)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Long Hair Female - Journalist(Jody)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Long Hair Female - Journalist(Jody)]", "affective_state": {"object": "[Blue Cap - Actress(Ashley Judd)]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "Overwhelming relief mixed with ecstatic surprise", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Facial muscles tremble with emotion, eyes rapidly fill with tears that spill over, corners of the mouth turn upward.", "body_language": "Hand gripping the phone shakes slightly, body leans forward in agitation, then she tightly grasps a colleague's arm for support.", "vocal_cues": "Voice chokes with sobs, breathing is rapid, pitch rises with ecstasy.", "verbal_content": "Ashley thank you. Thank you. Ashley said yes! She said yes!"}}} {"unique_id": "W1nI8s_NebA_T1_1_0", "video_id": "W1nI8s_NebA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Wife]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife]. When her husband returns home accompanied by a stranger and introduces the man as their 'son' instead of bringing the expected groceries, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife]", "affective_state": {"object": "[Bald Elderly Male - Husband]", "coarse_category": ["Surprise", "Anxiety"], "fine_description": "A mix of immediate shock at the absurdity and underlying apprehension about the stranger's presence.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Skeptical closed-mouth smile with head tilted, eyebrows slightly raised", "body_language": "Hands slightly raised, neck leans forward with a shrug", "vocal_cues": "Pitch raised, questioning tone", "verbal_content": "This is a joke, right?"}}} {"unique_id": "W5-oHwzdWos_T1_1_0", "video_id": "W5-oHwzdWos", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Middle-aged Male - Defendant(Bob)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Middle-aged Male - Defendant(Bob)]. In the courtroom, when the judge delivers the verdict, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Middle-aged Male - Defendant(Bob)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Middle-aged Male - Defendant(Bob)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Middle-aged Male - Defendant(Bob)]", "affective_state": {"object": "[Black Robe Female - Judge(Brown)]", "coarse_category": ["Surprise", "Fear"], "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, mouth slightly open", "body_language": "Body stiff and frozen during the sentence, then turns sharply toward his lawyer to protest"}}} {"unique_id": "W6fteqHGjpU_T1_1_0", "video_id": "W6fteqHGjpU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Partner(Mel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Partner(Mel)]. During the award ceremony, when Claire dismisses Mel and Mia as immature bullies, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Partner(Mel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Partner(Mel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Partner(Mel)]", "affective_state": {"object": "[Redhead Female - Antagonist(Claire)]", "coarse_category": ["Anger"], "fine_description": "A surge of righteous indignation and defensive anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, tense facial muscles, baring teeth while speaking.", "body_language": "Leaning forward, waving arms, aggressive posture.", "vocal_cues": "Accelerated speech rate, increased volume, sarcastic and provocative tone.", "verbal_content": "you know what no okay we're smart and we're strong and we're best friends and we love and respect each other and you you know what you are Clara Luna you're a lying manipulative conniving backstabbing buck-toothed Jessica Rabbit looking"}}} {"unique_id": "W71gmihTeDQ_T1_1_1", "video_id": "W71gmihTeDQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Plaid Shirt Male - Andrew]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Plaid Shirt Male - Andrew]. During the family dinner, when the conversation shifts to his cousins' football games, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Plaid Shirt Male - Andrew]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Plaid Shirt Male - Andrew]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Plaid Shirt Male - Andrew]", "affective_state": {"object": "[Striped Shirt Male - Father]", "coarse_category": ["Sadness"], "fine_description": "Disappointment and a sense of alienation.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Faint smile fades, eyes look down, corners of mouth turn down, expression shifts from confident to dejected", "body_language": "Leans forward slightly, hand touches forehead"}}} {"unique_id": "W71gmihTeDQ_T1_2_0", "video_id": "W71gmihTeDQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Polo Male - Relative]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Polo Male - Relative]. During the family dinner, when he listens to Andrew's news about the band and pivots the conversation to the football match, based on the subject's observed vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Polo Male - Relative]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Polo Male - Relative]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Polo Male - Relative]", "affective_state": {"object": "[Plaid Shirt Male - Andrew]", "coarse_category": ["Neutral"], "fine_description": "Detached neutrality with a hint of polite dismissal.", "polarity": "Neutral", "intensity": "None"}, "affective_manifestation": {"vocal_cues": "Flat tone", "verbal_content": "It's a nasty business, I am sure"}}} {"unique_id": "WCM5kknf5nI_T1_1_0", "video_id": "WCM5kknf5nI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Male - Narrator]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Male - Narrator]. In an outdoor residential area, while the narrator discusses his past writing, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Male - Narrator]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Male - Narrator]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Male - Narrator]", "affective_state": {"object": "[Blonde Female - Listener]", "coarse_category": ["Happiness"], "fine_description": "A complex blend of self-conscious embarrassment and proud vulnerability.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Averting gaze, occasionally glancing at the listener, shy smile, soft facial expression.", "body_language": "Gesturing with open palms while walking.", "vocal_cues": "Medium speed, candid and self-deprecating tone.", "verbal_content": "It's embarrassing as it is... it's also like kind of the best stuff I've ever written because it's got this naive idealism thing going on."}}} {"unique_id": "WCM5kknf5nI_T1_2_1", "video_id": "WCM5kknf5nI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Listener]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Listener]. When reacting to the narrator's comment about sounding young, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Listener]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Listener]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Listener]", "affective_state": {"object": "[Curly Male - Narrator]", "coarse_category": ["Happiness"], "fine_description": "Playful amusement and energetic affection.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Laughing, bright eyes looking directly at him, open expression.", "body_language": "Leaning forward, relaxed posture, provocative smile.", "vocal_cues": "Upward inflection, energetic and humorous tone.", "verbal_content": "Yeah, well, screw you, pal."}}} {"unique_id": "WCM5kknf5nI_T1_3_2", "video_id": "WCM5kknf5nI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Curly Male - Narrator]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Male - Narrator]. After sharing his idealistic views, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Male - Narrator]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Male - Narrator]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Male - Narrator]", "affective_state": {"object": "[Blonde Female - Listener]", "coarse_category": ["Embarrassment"], "fine_description": "A feeling of inferiority and insecurity.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Looking down at the ground, pursed lips, appearing awkward.", "body_language": "Center of gravity shifts slightly, posture becomes less confident.", "vocal_cues": "Low pitch, tentative and slightly melancholic tone.", "verbal_content": "I must sound so young to you"}}} {"unique_id": "WHciIM22U7Q_T1_1_0", "video_id": "WHciIM22U7Q", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Bearded Male - Husband]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Bearded Male - Husband]. In the dimly lit living room, when he learns that [Blonde Female - Wife(Viv)] requires further medical checks for her headaches, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Bearded Male - Husband]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Bearded Male - Husband]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Bearded Male - Husband]", "affective_state": {"object": "[Blonde Female - Wife(Viv)]", "coarse_category": ["Anger", "Surprise"], "fine_description": "He feels a mix of surprise at the severity and anger at her lack of care.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze.", "body_language": "Shifts from a relaxed posture to sitting upright, leaning body forward.", "vocal_cues": "(Agitated tone) Accelerated speech rate, stuttering.", "verbal_content": "Jesus, Viv. Why do you ever take care of the... I mean, the really important... It's not just about you, Viv. It hasn't been for a long time."}}} {"unique_id": "WNAjVd38Q1E_T1_1_0", "video_id": "WNAjVd38Q1E", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Mustached Male - Husband(Chris)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Mustached Male - Husband(Chris)]. In the dimly lit bar, when Chris speaks to Matt regarding his wife's lover, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Mustached Male - Husband(Chris)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Mustached Male - Husband(Chris)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Mustached Male - Husband(Chris)]", "affective_state": {"object": "[Black Male - Officer(Matt)]", "coarse_category": ["Anger"], "fine_description": "Contemptuous anger mixed with a desire to intimidate", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frown, sharp eyes, tight lips, tense facial muscles", "body_language": "Leaning forward, hand gestures emphasizing words, aggressive posture", "vocal_cues": "Accelerated speech rate, increased volume, threatening tone", "verbal_content": "I'll tell you what though next time that little comes around little sure that scurries out the back door the second he hears my voice scary yeah"}}} {"unique_id": "WNAjVd38Q1E_T1_2_1", "video_id": "WNAjVd38Q1E", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Mustached Male - Husband(Chris)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Mustached Male - Husband(Chris)]. In the dimly lit bar, when Chris details a violent death threat to Matt, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Mustached Male - Husband(Chris)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Mustached Male - Husband(Chris)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Mustached Male - Husband(Chris)]", "affective_state": {"object": "[Black Male - Officer(Matt)]", "coarse_category": ["Anger"], "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Slight frown, focused and serious eyes, lips slightly parted, maintaining a facade of calm", "body_language": "Leaning forward slightly, gentle but firm hand gestures", "vocal_cues": "Steady tone with an underlying authority, moderate volume", "verbal_content": "I'd respect him at least and if he did that then I'd go up to him look him in his eye I'd say just come near her again and I'll kill you"}}} {"unique_id": "WPaRycwhWHE_T1_1_0", "video_id": "WPaRycwhWHE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Curly Hair Female - Friend]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Curly Hair Female - Friend]. In the living room, when the [Gray Hair Male - Musician] recounts his experience of being booed off stage, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Curly Hair Female - Friend]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Curly Hair Female - Friend]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Curly Hair Female - Friend]", "affective_state": {"object": "[Gray Hair Male - Musician]", "coarse_category": ["Surprise"], "fine_description": "A feeling of surprise mixed with awkward amusement", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, smiling", "body_language": "Head shake, shrugging, open hands", "vocal_cues": "Rising tone", "verbal_content": "Well, I'm sorry but congratulations"}}} {"unique_id": "WtPlExKTIkw_T1_1_0", "video_id": "WtPlExKTIkw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Female - Girlfriend(Dana)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Female - Girlfriend(Dana)]. In the hotel room, while confronting Charles over the phone regarding his missed flight, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Female - Girlfriend(Dana)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Female - Girlfriend(Dana)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Female - Girlfriend(Dana)]", "affective_state": {"object": "[Camouflage Male - Soldier(Charles)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A volatile mix of relief turning into indignation, deep hurt, and defensive anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, furrowed brows, trembling lips", "body_language": "Restless pacing/sitting, holding phone tightly to ear, leaning forward intensely", "vocal_cues": "Trembling voice, accelerated pace, crying tone", "verbal_content": "I thought you were in a plane crash. I'm sick as a dog and stuck in Akron, Ohio waiting for you."}}} {"unique_id": "X0Q_GIC_UAM_T1_1_1", "video_id": "X0Q_GIC_UAM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Male - Businessman(Dave)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Male - Businessman(Dave)]. During a lunch date, when an intruder interrupts and directs insults at the subject's companion, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Male - Businessman(Dave)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Male - Businessman(Dave)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Male - Businessman(Dave)]", "affective_state": {"object": "[Yellow Shirt Female - Intruder(Evelyn)]", "coarse_category": ["Anger"], "fine_description": "Indignation and controlled anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, tense facial muscles, clenched teeth.", "body_language": "Leaning body slightly forward.", "vocal_cues": "Deep and suppressive tone.", "verbal_content": "That's enough. Get out of here."}}} {"unique_id": "X0Q_GIC_UAM_T1_2_0", "video_id": "X0Q_GIC_UAM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Yellow Shirt Female - Intruder(Evelyn)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Yellow Shirt Female - Intruder(Evelyn)]. When the subject is being removed from the restaurant and put into a taxi by the male, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Yellow Shirt Female - Intruder(Evelyn)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Yellow Shirt Female - Intruder(Evelyn)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Yellow Shirt Female - Intruder(Evelyn)]", "affective_state": {"object": "[Curly Hair Male - Businessman(Dave)]", "coarse_category": ["Sadness"], "fine_description": "Desperate grief and panic.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, mouth slightly open, terrified expression.", "body_language": "Shaking head, struggling, reaching hand out of the car window towards him.", "vocal_cues": "Urgent tone, sobbing.", "verbal_content": "Don't leave me! Don't leave me! I love you! I did it because I love you, don't you understand?"}}} {"unique_id": "X37JgwFXsGI_T1_1_0", "video_id": "X37JgwFXsGI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Dinner Guest(Samantha)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Dinner Guest(Samantha)]. At a formal dinner, when a dark-haired guest makes a remark about a plastic surgeon, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Dinner Guest(Samantha)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Dinner Guest(Samantha)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Dinner Guest(Samantha)]", "affective_state": {"object": "[Dark-haired Female - Dinner Guest]", "coarse_category": ["Anger"], "fine_description": "A surge of indignation and controlled anger at the guest's audacity.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Slight frown, staring at the dark-haired woman, corners of mouth raised in a polite smile", "body_language": "Head tilts slightly", "vocal_cues": "Low, firm tone", "verbal_content": "No, I don't know him."}}} {"unique_id": "X3hjIr7Xp4o_T1_1_1", "video_id": "X3hjIr7Xp4o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Jacket - Passenger(Del)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Jacket - Passenger(Del)]. On the snowy highway roadside, when he attempts to explain how he rented the car using shower curtain rings, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Jacket - Passenger(Del)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Jacket - Passenger(Del)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Jacket - Passenger(Del)]", "affective_state": {"object": "[Dark Suit - Driver(Neal)]", "coarse_category": ["Fear", "Guilt"], "fine_description": "A mix of guilt for the theft and fear of Neal's impending anger", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile fades, brows furrow, eyes dart avoiding contact, lips slightly pursed", "body_language": "Swallows hard, shakes head slightly, lowers head", "vocal_cues": "Frequent pauses accompanied by sighs, voice slightly trembling", "verbal_content": "Somehow your Diners Club card wound up in my wallet and I just..."}}} {"unique_id": "X3hjIr7Xp4o_T1_2_0", "video_id": "X3hjIr7Xp4o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Suit - Driver(Neal)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Suit - Driver(Neal)]. Standing by the burning wreckage of their car, when he questions Del's story about renting the vehicle, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Suit - Driver(Neal)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Suit - Driver(Neal)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Suit - Driver(Neal)]", "affective_state": {"object": "[Blue Jacket - Passenger(Del)]", "coarse_category": ["Anger"], "fine_description": "Explosive anger and betrayal.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows tightly furrowed", "body_language": "Leans body forward, points finger at Del, aggressive gestures, waves hands vigorously", "vocal_cues": "Harsh tone, raised volume, accusatory and questioning intonation", "verbal_content": "You stole it!"}}} {"unique_id": "X44Lcw8UZKE_T1_1_0", "video_id": "X44Lcw8UZKE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark-Haired Young Female - Patient]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-Haired Young Female - Patient]. Recovering in a hospital bed, when she checks the infant's ID band, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-Haired Young Female - Patient]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-Haired Young Female - Patient]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-Haired Young Female - Patient]", "affective_state": {"object": "[White-Coated Middle-Aged Male - Doctor]", "coarse_category": ["Surprise", "Anger"], "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, wide eyes, open mouth, tense facial muscles.", "body_language": "Sits up abruptly, waves hands violently, presses the call button urgently.", "vocal_cues": "High pitch, fast pace, accusatory tone", "verbal_content": "Oh shit! Nurse! Nurse! Miss! Miss, you brought me the wrong goddamn baby!"}}} {"unique_id": "XDlC8NyBBro_T1_1_0", "video_id": "XDlC8NyBBro", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Suit Male - Musician(Jack)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Suit Male - Musician(Jack)]. In the living room, when his father suggests playing a 'summer song' instead, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Suit Male - Musician(Jack)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Suit Male - Musician(Jack)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Suit Male - Musician(Jack)]", "affective_state": {"object": "[Brown Top Male - Father]", "coarse_category": ["Anger", "Frustration"], "fine_description": "He feels a surge of explosive frustration and exasperated grievance.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Glares at the group, then frowns with a pained, sorrowful expression, conveying a desperate plea.", "body_language": "Strikes the piano keys forcefully before turning around; waves hands continuously to emphasize his words.", "vocal_cues": "Angry, agitated, and pleading tone.", "verbal_content": "Let It be! ... Can you not just be quiet for a single second?"}}} {"unique_id": "XF33SnFIDAQ_T1_1_0", "video_id": "XF33SnFIDAQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Female - Hairdresser(Angela)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Female - Hairdresser(Angela)]. While washing the customer's hair, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Female - Hairdresser(Angela)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Female - Hairdresser(Angela)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Female - Hairdresser(Angela)]", "affective_state": {"object": "[Young Male - Customer(Mike)]", "coarse_category": ["Anger", "Happiness"], "fine_description": "A transition from defensive anger to a warm mixture of relief, forgiveness, and renewed romantic affection.", "polarity": "Mixed", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes softening from a hesitant glare, corners of mouth lifting into a smile, eventually closing eyes.", "body_language": "Shifting from maintaining distance to leaning in, gently caressing [Young Male - Customer(Mike)]'s head, and finally initiating a kiss.", "vocal_cues": "Tone shifting to gentle and soft, speaking rate slowing down with emotional fluctuation.", "verbal_content": "I see your mom is all here playay back okay ... you know I've been thinking too ... maybe everyone does deserve a second chance oh even you you want one"}}} {"unique_id": "XHtJKRfT7Ck_T1_1_1", "video_id": "XHtJKRfT7Ck", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit - Musician]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit - Musician]. When the female musician questions the male musician's electronic setup, based on the subject's observed facial expressions and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit - Musician]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit - Musician]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit - Musician]", "affective_state": {"object": "[Denim Overalls - Musician]", "coarse_category": ["Anxiety"], "fine_description": "A feeling of insecurity.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Smiles at the woman", "verbal_content": "Yes, of course. We want wood and bone and gut, don't we? We want bits of animal skin stretched over hand-turned hazelnut. We want things that we can touch and strum and blow. That's what you're thinking, isn't it?"}}} {"unique_id": "XHtJKRfT7Ck_T1_2_0", "video_id": "XHtJKRfT7Ck", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Suit - Musician]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit - Musician]. When the female musician says she liked what he did, based on the subject's observed verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit - Musician]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit - Musician]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit - Musician]", "affective_state": {"object": "[Denim Overalls - Musician]", "coarse_category": ["Relief", "Surprise"], "fine_description": "Surprise followed by a sense of relief and validation.", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"verbal_content": "Really?"}}} {"unique_id": "XNUers0BuD4_T1_1_0", "video_id": "XNUers0BuD4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Beige Coat Female - Wife(Carrie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Beige Coat Female - Wife(Carrie)]. In the casino lobby, when [Brown Suit Male - Husband(Jack)] pulls her aside and confesses that he might be the father of a 17-year-old boy, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Beige Coat Female - Wife(Carrie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Beige Coat Female - Wife(Carrie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Beige Coat Female - Wife(Carrie)]", "affective_state": {"object": "[Brown Suit Male - Husband(Jack)]", "coarse_category": ["Surprise", "Sadness"], "fine_description": "A profound sense of shock mixed with deep hurt and feelings of betrayal.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth slightly open", "body_language": "Freezes in place"}}} {"unique_id": "XNxn_IuZ0bA_T1_1_0", "video_id": "XNxn_IuZ0bA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Shirt Male - Passenger]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Shirt Male - Passenger]. When the Manager intervenes, dismisses the Waitress, and confronts the Passenger, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Shirt Male - Passenger]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Shirt Male - Passenger]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Shirt Male - Passenger]", "affective_state": {"object": "[Bald Male - Manager]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A mix of initial shock followed by defensive dissatisfaction and blame directed at the Manager.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "His smile disappears, replaced by a serious expression; he looks at the Manager with a glare of slight anger and blame.", "body_language": "Shifts from hands on hips to crossing arms over his chest in a defensive posture."}}} {"unique_id": "XNxn_IuZ0bA_T1_2_1", "video_id": "XNxn_IuZ0bA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bald Male - Manager]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Manager]. During the discussion with the Waitress, when the Passenger interrupts, based on the subject's observed facial expressions, body language and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Manager]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Manager]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Manager]", "affective_state": {"object": "[Blue Shirt Male - Passenger]", "coarse_category": ["Anger"], "fine_description": "Impatience and annoyance regarding the challenge to his authority and the disruption of his duty.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Opens mouth and closes eyes to show impatience; ends with a stiff, forced smile.", "body_language": "Looks away impatiently; turns head around to signal annoyance.", "verbal_content": "And good-bye to you, sir."}}} {"unique_id": "XeOcYexZGBg_T1_1_1", "video_id": "XeOcYexZGBg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Curly Hair Female - Wife]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Curly Hair Female - Wife]. During a family dinner at a restaurant, when the husband attempts to discuss his future plans regarding Las Vegas but struggles to articulate them clearly, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Curly Hair Female - Wife]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Curly Hair Female - Wife]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Curly Hair Female - Wife]", "affective_state": {"object": "[Grey Suit Male - Husband]", "coarse_category": ["Anger"], "fine_description": "She feels annoyed and impatient.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Frowning, eyes wide and staring at the man", "body_language": "Frequently shaking head", "vocal_cues": "Impatient tone", "verbal_content": "What it is you've been trying to say it all night, our plans of moving"}}} {"unique_id": "XeOcYexZGBg_T1_2_0", "video_id": "XeOcYexZGBg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Curly Hair Female - Wife]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Curly Hair Female - Wife]. During a family dinner at a restaurant, when the husband attempts to discuss his future plans regarding Las Vegas, based on the subject's observed facial expressions and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Curly Hair Female - Wife]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Curly Hair Female - Wife]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Curly Hair Female - Wife]", "affective_state": {"object": "[Grey Suit Male - Husband]", "coarse_category": ["Sadness"], "fine_description": "She feels deep sadness and heartbreak.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Tears in eyes, looking down with lowered gaze", "vocal_cues": "Strained tone"}}} {"unique_id": "YDqrjD9rVMs_T1_1_0", "video_id": "YDqrjD9rVMs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Male - Prisoner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Male - Prisoner]. In the dimly lit room, when the [Bald Male - Informant] admits to becoming an informant, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Male - Prisoner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Male - Prisoner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Male - Prisoner]", "affective_state": {"object": "[Bald Male - Informant]", "coarse_category": ["Anger", "Fear"], "fine_description": "Extreme panic mixed with the anger of being dragged into a hopeless, life-threatening situation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes darting rapidly with anxiety, brows furrowed tight, facial muscles distorted by fear.", "body_language": "Huddled in the corner, hands nervously rubbing hair and forehead, making frequent large gestures of accusation.", "vocal_cues": "Extremely fast and broken speech rate, voice hoarse from extreme tension, with obvious trembling.", "verbal_content": "They're gonna hunt us down, man! They're gonna come after our families, John!"}}} {"unique_id": "YDqrjD9rVMs_T1_2_1", "video_id": "YDqrjD9rVMs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bald Male - Informant]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Informant]. After hearing the [Short-haired Male - Prisoner]'s warning about the mob's retribution, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Informant]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Informant]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Informant]", "affective_state": {"object": "[Short-haired Male - Prisoner]", "coarse_category": ["Guilt"], "fine_description": "Deep remorse and a heavy sense of responsibility mixed with steely resolve.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Deep and grave gaze, looking directly at the other to show accountability, then expression becomes determined and grim.", "body_language": "Sitting upright, leaning forward, looking tired but firm, with a steady posture.", "vocal_cues": "Tone is calm but oppressive, speaking rate is steady but every word is forceful.", "verbal_content": "I know I'm the one who put us all in this danger... and I got to live with that. There is no way I'm gonna let either side dictate our fates."}}} {"unique_id": "YZGetnQQU48_T1_1_0", "video_id": "YZGetnQQU48", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray Suit - Subordinate(Miguel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Suit - Subordinate(Miguel)]. In the meeting room, when the Leader places his hand on the Subordinate's shoulder and asks if he has identified the traitor informing the DEA, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Suit - Subordinate(Miguel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Suit - Subordinate(Miguel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Suit - Subordinate(Miguel)]", "affective_state": {"object": "[White Suit - Leader(Ramon)]", "coarse_category": ["Anxiety", "Fear"], "fine_description": "Intense nervousness and underlying fear of exposure and death.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widened, gaze shifting and avoiding eye contact, mouth tight.", "body_language": "Head turns slightly away from the Leader.", "vocal_cues": "Pauses, flat and mechanical tone.", "verbal_content": "No, Ramon, not yet."}}} {"unique_id": "Yd1Bx8u7Om4_T1_1_0", "video_id": "Yd1Bx8u7Om4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Lace Dress Female - Bride(Rose)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Lace Dress Female - Bride(Rose)]. During the wedding ceremony, when the bride's sister steps forward to deliver an unplanned reading, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Lace Dress Female - Bride(Rose)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Lace Dress Female - Bride(Rose)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Lace Dress Female - Bride(Rose)]", "affective_state": {"object": "[Blonde Female - Sister(Maggie)]", "coarse_category": ["Surprise", "Fear"], "fine_description": "Wary, uneasy surprise at her sister's unplanned reading.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "A tight, polite smile over a stiff, guarded look as her sister announces the reading.", "body_language": "She leans forward slightly, clutching her bouquet tightly."}}} {"unique_id": "YeVSz1XkyMw_T1_1_1", "video_id": "YeVSz1XkyMw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Shirt Black Vest - Tailor(Leonard)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Black Vest - Tailor(Leonard)]. In the tailor shop, when the Boss orders a five-second countdown to execution, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Black Vest - Tailor(Leonard)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Black Vest - Tailor(Leonard)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Black Vest - Tailor(Leonard)]", "affective_state": {"object": "[Black Suit - Boss(Roy)]", "coarse_category": ["Fear"], "fine_description": "Overwhelming terror mixed with the desperate need to focus.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Dilated pupils, sweating forehead, terrified gaze, trembling lips.", "body_language": "Leaning back, hands pressing firmly on the table, and visibly tense.", "vocal_cues": "Trembling voice, accelerated pace, rising pitch (tone).", "verbal_content": "He made me promise not to tell... he said he'd kill me if I told you... Francis... Mr. Boyle, what really happened to Richie is that Francis shot..."}}} {"unique_id": "YeVSz1XkyMw_T1_2_0", "video_id": "YeVSz1XkyMw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Suit - Boss(Roy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit - Boss(Roy)]. When the Boss confronts the Tailor with evidence of his son's coat, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit - Boss(Roy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit - Boss(Roy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit - Boss(Roy)]", "affective_state": {"object": "[White Shirt Black Vest - Tailor(Leonard)]", "coarse_category": ["Anger"], "fine_description": "Intense impatience and fury.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, downturned mouth, sharp gaze, tense facial muscles.", "body_language": "Stands by the doorway beside his armed man and points toward Leonard as he starts the countdown, aggressive posture.", "vocal_cues": "Accelerated pace, increased volume, threatening tone.", "verbal_content": "Where's my goddamn son? He got five seconds to tell me what happened. Five, four, three..."}}} {"unique_id": "ZCYbGGfwbfk_T1_1_0", "video_id": "ZCYbGGfwbfk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses Suit Male - Producer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses Suit Male - Producer]. During the negotiation meeting, when the female producer proposes film edits, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses Suit Male - Producer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses Suit Male - Producer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses Suit Male - Producer]", "affective_state": {"object": "[Curly Hair Vest Male - Director]", "coarse_category": ["Embarrassment"], "fine_description": "A sense of embarrassment and social discomfort.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Lips trembling, eyebrows raised, frown slightly.", "body_language": "Shaking head slightly.", "vocal_cues": "Hesitant, stuttering, low pitch, fast pace.", "verbal_content": "Let us chew on this. I don't think so."}}} {"unique_id": "ZDgFAFQGZbI_T1_1_0", "video_id": "ZDgFAFQGZbI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Female - Traveler]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Female - Traveler]. At the hotel front desk, when the male traveler hands her a promotional flyer after cutting the line, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Female - Traveler]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Female - Traveler]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Female - Traveler]", "affective_state": {"object": "[Black Suit Male - Business Traveler(Ryan)]", "coarse_category": ["Anger"], "fine_description": "A mix of indignation and helplessness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth turned down, glaring at the man.", "body_language": "Snatches the flyer from the man's hand."}}} {"unique_id": "ZDgFAFQGZbI_T1_2_1", "video_id": "ZDgFAFQGZbI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Suit Female - Colleague(Natalie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Female - Colleague(Natalie)]. In a restaurant, while listening to the male traveler explain his dedication to accumulating ten million frequent flyer miles, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Female - Colleague(Natalie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Female - Colleague(Natalie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Female - Colleague(Natalie)]", "affective_state": {"object": "[Black Suit Male - Business Traveler(Ryan)]", "coarse_category": ["Disgust"], "fine_description": "A sense of disdain and disbelief at his immaturity.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Shakes head.", "vocal_cues": "Fast-paced speech (tone).", "verbal_content": "Wow... you guys don't grow up, it's like you need to pee on everything."}}} {"unique_id": "ZDgFAFQGZbI_T1_3_2", "video_id": "ZDgFAFQGZbI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Black Suit Male - Business Traveler(Ryan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Business Traveler(Ryan)]. During a meal, when the female companion counters that men only seek legacy through names because they cannot bear children, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Business Traveler(Ryan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Business Traveler(Ryan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Business Traveler(Ryan)]", "affective_state": {"object": "[Black Suit Female - Colleague(Natalie)]", "coarse_category": ["Surprise"], "fine_description": "A state of amused shock.", "polarity": "Neutral", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Eyes widened, staring at the woman.", "body_language": "Leans forward towards the woman.", "vocal_cues": "Emphasizing the word 'baby'.", "verbal_content": "The baby argument?"}}} {"unique_id": "ZMZxDJb5V8o_T1_1_0", "video_id": "ZMZxDJb5V8o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Teacher(Lucy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Teacher(Lucy)]. While the group is trapped, when Clint and Wade argue over the walkie-talkie, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Teacher(Lucy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Teacher(Lucy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Teacher(Lucy)]", "affective_state": {"object": "[Mustached Male - PE Teacher(Wade)], [Brown Hair Male - Writer(Clint)]", "coarse_category": ["Anger"], "fine_description": "Explosive anger mixed with disappointment and hysterical despair.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Gritting teeth, intense glare.", "body_language": "Gestures emphatically with the walkie-talkie, then aggressively climbs the ladder toward the duct.", "vocal_cues": "(Shouting) Rapid speech, sudden increase in volume, hysterical tone.", "verbal_content": "Both of you cut it out; you sound like your students... I hate every single one of you."}}} {"unique_id": "ZMwWyTrseA4_T1_1_0", "video_id": "ZMwWyTrseA4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Long Hair Female - Visitor(Diane)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Long Hair Female - Visitor(Diane)]. While organizing cards at the bedside, when the conversation shifts to specific years and the Patient brings up a specific time period, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Long Hair Female - Visitor(Diane)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Long Hair Female - Visitor(Diane)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Long Hair Female - Visitor(Diane)]", "affective_state": {"object": "[Red Hair Female - Patient]", "coarse_category": ["Guilt", "Surprise"], "fine_description": "A mix of sudden defensiveness, guilt, and discomfort.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Glances up slightly at the patient, then falls silent with a thoughtful expression.", "vocal_cues": "Calm tone.", "verbal_content": "Silence for a moment, then says: 'I was pretty unstoppable in '98.'"}}} {"unique_id": "ZQ1oJFLwk8Y_T1_1_1", "video_id": "ZQ1oJFLwk8Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Red-Haired Female - Scientist(Marie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Red-Haired Female - Scientist(Marie)]. In the hallway, when she confronts the male scientist and accuses him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Red-Haired Female - Scientist(Marie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Red-Haired Female - Scientist(Marie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Red-Haired Female - Scientist(Marie)]", "affective_state": {"object": "[Dark Suit Male - Scientist(Pierre)]", "coarse_category": ["Anger"], "fine_description": "Intense anger and resentment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, tense facial muscles", "body_language": "Leans forward, shrugs with agitation, hands on hips", "vocal_cues": "Accelerated tempo, raised volume, accusatory and questioning tone", "verbal_content": "how dare you how dare you take my brilliance how dare you take their applause... i am one of those who believe with nobel laureate no that matters derives more stole my brilliance and you made it your own you should never have gone without me... i was angry because they were wrong but i never wondered any of this i just wanted to do good science"}}} {"unique_id": "ZQ1oJFLwk8Y_T1_2_0", "video_id": "ZQ1oJFLwk8Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Suit Male - Scientist(Pierre)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Suit Male - Scientist(Pierre)]. In the dimly lit indoor corridor, when Pierre defends himself against Marie's accusations, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Suit Male - Scientist(Pierre)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Suit Male - Scientist(Pierre)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Suit Male - Scientist(Pierre)]", "affective_state": {"object": "[Curly Red-Haired Female - Scientist(Marie)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "Grievance and frustration.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slightly furrowed brows, attempting to maintain composure", "vocal_cues": "Steady but slightly tense tempo, moderate volume, attempting rational persuasion", "verbal_content": "no i made it absolutely memory that it was our worst you'd just given birth you were too ill to travel and you didn't even want to go what was i supposed to do this is bigger than both of us maria and someone had to be there to represent the achievement"}}} {"unique_id": "ZbiGzK3slg0_T1_1_1", "video_id": "ZbiGzK3slg0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Parent(Renata)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Parent(Renata)]. In the school office, when [Blonde Female - Parent(Renata)] confronts [Bespectacled Male - Principal], based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Parent(Renata)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Parent(Renata)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Parent(Renata)]", "affective_state": {"object": "[Bespectacled Male - Principal]", "coarse_category": ["Anger"], "fine_description": "Intense protective fury and indignation", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Tense facial muscles, furrowed brows, pursed lips, sharp gaze", "body_language": "Hands on hips, leaning forward, aggressive posture", "vocal_cues": "Accelerated speech rate, raised volume, threatening tone", "verbal_content": "What possesses two idiots like yourselves to teach eight-year-olds that the planet is doomed? You deconstructed my little girl into a coma."}}} {"unique_id": "ZbiGzK3slg0_T1_2_0", "video_id": "ZbiGzK3slg0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Parent(Renata)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Parent(Renata)]. In the School Office, when [Bespectacled Male - Principal] points out that she is the loudest complainer and says the school serves all the children, not just Amabella, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Parent(Renata)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Parent(Renata)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Parent(Renata)]", "affective_state": {"object": "[Bespectacled Male - Principal]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Explosive rage mixed with contempt for his audacity", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Neurotic sarcastic smile, cold eyes with a look of superior scrutiny", "body_language": "Pointing finger directly at the other person, chest heaving, sweeping her arms wide and clenching her fist", "vocal_cues": "Tone shifts from suppressed sarcasm to manic screaming, fast and forceful speech", "verbal_content": "I will be rich again! I will rise up! And then I will squish you like the bug that you are!"}}} {"unique_id": "ZpmCdIS3TKc_T1_1_1", "video_id": "ZpmCdIS3TKc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Wife]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife]. In the urban back alley, when her husband insists on leaving her and their child behind, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife]", "affective_state": {"object": "[Male in Snakeskin Jacket - Husband]", "coarse_category": ["Sadness"], "fine_description": "Deep sadness and desperation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Red eyes, wet eyes, downturned corners of the mouth.", "body_language": "Leaning forward slightly, attempting to get closer to him, hands trembling slightly.", "vocal_cues": "Trembling voice, accelerated speech rate, crying tone.", "verbal_content": "I'm sorry sailor I just can't help it... please don't do this"}}} {"unique_id": "ZpmCdIS3TKc_T1_2_0", "video_id": "ZpmCdIS3TKc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Male in Snakeskin Jacket - Husband]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Male in Snakeskin Jacket - Husband]. In the urban back alley, when the husband confronts his wife and child, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Male in Snakeskin Jacket - Husband]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Male in Snakeskin Jacket - Husband]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Male in Snakeskin Jacket - Husband]", "affective_state": {"object": "[Blonde Female - Wife], [Young Boy in Cap - Son]", "coarse_category": ["Sadness"], "fine_description": "Sorrowful resignation as he decides his wife and son are better off without him.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, avoiding eye contact, tight lips, complex facial expression.", "body_language": "Stepping back slightly, avoiding direct gaze, slight hand movements.", "vocal_cues": "Low voice, slow tempo, tone of repressed emotion.", "verbal_content": "It's a mistake honey you two go on I'll walk back to the depot"}}} {"unique_id": "ZuBzOV1ADkk_T1_1_0", "video_id": "ZuBzOV1ADkk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Redhead - Partner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead - Partner]. While sorting through old belongings, when the private intimate device accidentally activates and vibrates loudly, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead - Partner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead - Partner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead - Partner]", "affective_state": {"object": "[GreenShirt - Partner]", "coarse_category": ["Embarrassment"], "fine_description": "A state of acute awkwardness and embarrassment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Slightly furrowed brows, widened eyes, pursed lips, shifting gaze", "body_language": "Slightly bowing head"}}} {"unique_id": "_QNlEnY-xIg_T1_1_0", "video_id": "_QNlEnY-xIg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brunette - Girlfriend(Mary)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brunette - Girlfriend(Mary)]. When she realizes her parents have arrived at the apartment building, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brunette - Girlfriend(Mary)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brunette - Girlfriend(Mary)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brunette - Girlfriend(Mary)]", "affective_state": {"object": "[Redhead - Boyfriend(Tim)]", "coarse_category": ["Fear"], "fine_description": "A state of frantic panic and high-arousal urgency.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows raised in an apologetic wince, eyes darting down and back to him, mouth tense as she breaks the news.", "body_language": "Moves with frantic speed, hurriedly tidying clothes and clearing items from the table.", "vocal_cues": "Speaks in a rapid, breathless, and high-pitched tone, repeating words for emphasis.", "verbal_content": "Now. Now, now, now! So you should probably put on some pants"}}} {"unique_id": "_Rn5H5l2BAQ_T1_1_0", "video_id": "_Rn5H5l2BAQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Redhead Female - Wife(Ginny)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Wife(Ginny)]. When the husband sweeps a plate of food off the counter, based on the subject's observed facial expression, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Wife(Ginny)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Wife(Ginny)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Wife(Ginny)]", "affective_state": {"object": "[Middle-aged Male - Husband(Humpty)]", "coarse_category": ["Anger"], "fine_description": "A sense of stern disapproval and controlled irritation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Serious expression, staring intently at the man.", "body_language": "Hand gestures moving downwards, signaling him to lower his energy.", "vocal_cues": "Calm, persuasive tone.", "verbal_content": "Calm down."}}} {"unique_id": "_Rn5H5l2BAQ_T1_2_1", "video_id": "_Rn5H5l2BAQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Middle-aged Male - Husband(Humpty)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Male - Husband(Humpty)]. When the husband paces the room and speaks to his daughter, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Male - Husband(Humpty)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Male - Husband(Humpty)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Male - Husband(Humpty)]", "affective_state": {"object": "[Blonde Curly Female - Daughter(Carolina)]", "coarse_category": ["Anger"], "fine_description": "Intense fury mixed with frustration and helplessness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, eyes wide and staring.", "body_language": "Shrugging while confronting, clenching and waving fists, pacing anxiously around the room.", "vocal_cues": "Raised voice, accelerated speech rate, sounding angry and helpless.", "verbal_content": "I told you, you was all mobbed up... beats taking murder... she found this exciting... he wasn't even good looking, he was a punk."}}} {"unique_id": "_g9RI0GgRIQ_T1_1_1", "video_id": "_g9RI0GgRIQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Curly Hair Female - Wife(Kay)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Curly Hair Female - Wife(Kay)]. In a confrontation, when the subject rejects the husband's reconciliation and reveals she had an abortion, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Curly Hair Female - Wife(Kay)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Curly Hair Female - Wife(Kay)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Curly Hair Female - Wife(Kay)]", "affective_state": {"object": "[White Shirt Black Vest Male - Husband(Michael)]", "coarse_category": ["Sadness"], "fine_description": "A profound mix of anguish, righteous indignation, and the painful release of a dark secret.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Firm gaze, expression shifting from repressed tension to releasing anger, lips tight then opening to speak, furrowed brows.", "body_language": "Shaking head repeatedly.", "vocal_cues": "Voice rising from low and repressed to loud and intense, increasing speed with strong emotional coloring.", "verbal_content": "Michael, you are blind. It wasn't a miscarriage. It was an abortion. An abortion, Michael. Just like our marriage is an abortion. Something that's unholy and evil. I didn't want your son, Michael. I wouldn't bring another one of your sons into this world. It was an abortion, Michael. It was a son. A son. And I had it killed because this must all end."}}} {"unique_id": "_g9RI0GgRIQ_T1_2_0", "video_id": "_g9RI0GgRIQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Shirt Black Vest Male - Husband(Michael)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Black Vest Male - Husband(Michael)]. In a tense confrontation, when the wife reveals she had an abortion, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Black Vest Male - Husband(Michael)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Black Vest Male - Husband(Michael)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Black Vest Male - Husband(Michael)]", "affective_state": {"object": "[Brown Curly Hair Female - Wife(Kay)]", "coarse_category": ["Surprise"], "fine_description": "Overwhelming shock and disbelief that rapidly escalates into rage.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widening, eyebrows raised, mouth slightly open, facial muscles stiffening in shock and pain.", "body_language": "Leaning forward, then suddenly standing up to lunge at his wife."}}} {"unique_id": "a4GVTemxLuI_T1_1_1", "video_id": "a4GVTemxLuI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-Haired Female with Glasses - Producer(Rebecca)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-Haired Female with Glasses - Producer(Rebecca)]. In the dim backstage corridor, when Andy follows her attempting to initiate a conversation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-Haired Female with Glasses - Producer(Rebecca)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-Haired Female with Glasses - Producer(Rebecca)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-Haired Female with Glasses - Producer(Rebecca)]", "affective_state": {"object": "[Male in Red Jacket - Andy]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Impatience and irritation", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, closing eyes, sighing", "body_language": "Walking away quickly from Andy", "vocal_cues": "Cold tone", "verbal_content": "No, I don't. We're about to start and I'm a split short."}}} {"unique_id": "a4GVTemxLuI_T1_2_0", "video_id": "a4GVTemxLuI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long-Haired Female with Glasses - Producer(Rebecca)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-Haired Female with Glasses - Producer(Rebecca)]. After Andy announces that her show is being cancelled, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-Haired Female with Glasses - Producer(Rebecca)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-Haired Female with Glasses - Producer(Rebecca)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-Haired Female with Glasses - Producer(Rebecca)]", "affective_state": {"object": "[Male in Red Jacket - Andy]", "coarse_category": ["Surprise", "Anger"], "fine_description": "Shock, confusion, and rising anger", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Widening eyes, frowning tightly", "body_language": "Turning to face Andy, staring at him, shrugging, raising hands slightly, attempting to argue", "vocal_cues": "Surprised, angry tone", "verbal_content": "What?"}}} {"unique_id": "aF-AXYCc_xo_T1_1_1", "video_id": "aF-AXYCc_xo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Employee(Kate)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Employee(Kate)]. Inside the Christmas shop, when the owner confronts the employee about leaving the shop unlocked, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Employee(Kate)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Employee(Kate)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Employee(Kate)]", "affective_state": {"object": "[Pink Top Female - Owner(Santa)]", "coarse_category": ["Fear", "Guilt"], "fine_description": "A mix of anxiety and deep guilt.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, eyes nervous and darting, lips slightly parted, showing anxiety.", "body_language": "Leaning back slightly, hands kept down, defensive posture, avoiding direct eye contact with the owner.", "vocal_cues": "Speaking rate increased, pitch slightly high, carrying tension.", "verbal_content": "What happened? ...Well, I can pay you back."}}} {"unique_id": "aF-AXYCc_xo_T1_2_0", "video_id": "aF-AXYCc_xo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Pink Top Female - Owner(Santa)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Pink Top Female - Owner(Santa)]. Inside the Christmas shop, after the police leave and the owner reveals she staged a break-in to cover for the employee's failure to lock up, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Pink Top Female - Owner(Santa)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Pink Top Female - Owner(Santa)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Pink Top Female - Owner(Santa)]", "affective_state": {"object": "[Blonde Female - Employee(Kate)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "Intense anger mixed with a deep sense of letdown regarding the employee's character.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, sharp gaze, corners of mouth turned down, expression stern and accusatory.", "body_language": "Arms down, standing straight facing Kate, posture oppressive, attempting to dominate the conversation.", "vocal_cues": "Tone cold and restrained, words clear and heavy.", "verbal_content": "You forgot to lock up. Don't deny it. I had to smash my own window to make it look like a break-in."}}} {"unique_id": "aGAInDBQOoE_T1_1_0", "video_id": "aGAInDBQOoE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Male - Protagonist(Peter)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Male - Protagonist(Peter)]. When Mary Jane, wearing her wedding dress, stands in the doorway of his apartment, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Male - Protagonist(Peter)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Male - Protagonist(Peter)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Male - Protagonist(Peter)]", "affective_state": {"object": "[Redhead Female - Love Interest(Mary Jane)]", "coarse_category": ["Surprise"], "fine_description": "A profound sense of shock, disbelief, and amazement.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open, eyes wide.", "body_language": "Turns head, stands up, faces Mary.", "vocal_cues": "Husky voice.", "verbal_content": "Mary Jane."}}} {"unique_id": "aNQL0s6v8nI_T1_1_0", "video_id": "aNQL0s6v8nI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Elderly Male - Detective(Holmes)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Elderly Male - Detective(Holmes)]. When Holmes engages the boy in a deductive exercise regarding a past case, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Elderly Male - Detective(Holmes)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Elderly Male - Detective(Holmes)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Elderly Male - Detective(Holmes)]", "affective_state": {"object": "[Young Male - Assistant(Roger)]", "coarse_category": ["Happiness"], "fine_description": "A warm sense of pride and satisfaction.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth slightly raised, eyes showing approval and relief, subtle smile in the corners of the eyes.", "body_language": "Leaning slightly forward, showing focus and encouragement.", "vocal_cues": "Gentle tone (encouraging), slightly slower pace to emphasize affirmation."}}} {"unique_id": "aOmEhX1LzZ0_T1_1_0", "video_id": "aOmEhX1LzZ0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Suit - Employee(Andy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Suit - Employee(Andy)]. While his phone rings incessantly and he searches his desk area, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Suit - Employee(Andy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Suit - Employee(Andy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Suit - Employee(Andy)]", "affective_state": {"object": "[White Shirt - Employee(Jim)]", "coarse_category": ["Anger", "Frustration"], "fine_description": "A mix of intense frustration, rising anger at the prankster, and embarrassment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, stressed expression", "body_language": "Covers face with hands, rests chin on hand, clasps hands together, then waves arms openly while shouting", "vocal_cues": "Loud, angry shouting", "verbal_content": "What is going on? Where is my freaking phone?"}}} {"unique_id": "aP7GTu8tbvQ_T1_1_1", "video_id": "aP7GTu8tbvQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Tweed Jacket Male - Dean(Martin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Tweed Jacket Male - Dean(Martin)]. In the University Office, when Professor Barbay accuses the wealthy student Mellon of academic fraud, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Tweed Jacket Male - Dean(Martin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Tweed Jacket Male - Dean(Martin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Tweed Jacket Male - Dean(Martin)]", "affective_state": {"object": "[Red Polo Male - Student(Mellon)]", "coarse_category": ["Relief", "Happiness"], "fine_description": "Felt a wave of relief that the crisis could be ostensibly resolved.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows instantly relax, revealing an obvious smile; eyes twinkle, looking eager to announce the conclusion.", "body_language": "Posture shifts from tense leaning forward to relaxed, spreading hands towards the professor.", "vocal_cues": "Tone becomes light and brisk.", "verbal_content": "I'm satisfied!"}}} {"unique_id": "aP7GTu8tbvQ_T1_2_2", "video_id": "aP7GTu8tbvQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Red Polo Male - Student(Mellon)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Polo Male - Student(Mellon)]. In the University Office, when Professor Barbay accuses him of fraud and Dean Martin gives him one last chance to explain himself, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Polo Male - Student(Mellon)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Polo Male - Student(Mellon)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Polo Male - Student(Mellon)]", "affective_state": {"object": "[Brown Tweed Jacket Male - Dean(Martin)]", "coarse_category": ["Disgust"], "fine_description": "Felt contempt for the situation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Lowers head to avoid eye contact, then looks up directly with feigned firmness; lips slightly parted.", "body_language": "Relaxes back into the sofa, spreading hands to match his words, projecting an illusion of openness.", "vocal_cues": "Tone starts hesitant and heavy, then suddenly shifts to firm affirmation.", "verbal_content": "I can't lie to you, Dean Martin. ... Yes, it is."}}} {"unique_id": "aP7GTu8tbvQ_T1_3_0", "video_id": "aP7GTu8tbvQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Black Suit Male - Professor(Barbay)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Professor(Barbay)]. In the University Office, when the Dean seems inclined to leniency regarding the fraud accusation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Professor(Barbay)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Professor(Barbay)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Professor(Barbay)]", "affective_state": {"object": "[Brown Tweed Jacket Male - Dean(Martin)]", "coarse_category": ["Anger"], "fine_description": "Felt extreme moral outrage and professional humiliation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Tight-lipped and composed, eyebrows slightly raised, then a faint knowing smile as he proposes the oral examination.", "body_language": "Body stands upright and still, hands clasped behind his back; later raises a hand to his ear.", "vocal_cues": "Tone is harsh and sarcastic; volume increases significantly; enunciation is heavy with undeniable anger.", "verbal_content": "I'm outraged! ... I suggest a comprehensive oral examination conducted by all of Mr. Mellon's professors."}}} {"unique_id": "aP7X7XLbQx0_T1_1_0", "video_id": "aP7X7XLbQx0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red-haired Female - Date]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red-haired Female - Date]. When she presents an expensive watch to the [Light Polo Male - Date] and he persistently refuses to accept it, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red-haired Female - Date]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red-haired Female - Date]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red-haired Female - Date]", "affective_state": {"object": "[Light Polo Male - Date]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A mix of confusion, sadness, and rising frustration.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes fixed intensely on the male.", "body_language": "Left hand spread open, right hand resting on the bench, body turned toward the male, leaning forward.", "vocal_cues": "Accelerated speech rate, rising intonation, with a trembling and interrogative tone.", "verbal_content": "Given what? Given... given what?"}}} {"unique_id": "aSwi8mzc1gA_T1_1_0", "video_id": "aSwi8mzc1gA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Mustached Male - Fake Priest]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Mustached Male - Fake Priest]. In the visitation booth, when the female prisoner asks if he expects sex in return, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Mustached Male - Fake Priest]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Mustached Male - Fake Priest]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Mustached Male - Fake Priest]", "affective_state": {"object": "[Long-haired Female - Prisoner]", "coarse_category": ["Surprise"], "fine_description": "A sudden jolt of shock mixed with frantic defensiveness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen, eyebrows raised, mouth slightly open.", "body_language": "Hands raised above head in a gesture of surrender and denial.", "vocal_cues": "High-pitched, rising tone.", "verbal_content": "No, no, no, God no, no, nothing like that."}}} {"unique_id": "aa8TGGbp3QA_T1_1_1", "video_id": "aa8TGGbp3QA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Kya]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Kya]. When a man returns to her home after years of absence and attempts to explain his departure, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Kya]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Kya]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Kya]", "affective_state": {"object": "[Short-haired Male - Tate]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A volatile mix of furious indignation and deep-seated heartbreak.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, trembling lips, expression of anguish", "body_language": "Rushes out of the house, forcefully throws objects at him, points accusingly, chest heaving with agitation", "vocal_cues": "High-decibel screaming and shouting, rapid speech with audible sobbing (tone), voice filled with accusation and despair", "verbal_content": "Get out of my lagoon, you low-down dirty cheat! You're the one who left me! Who didn't come back when you promised!"}}} {"unique_id": "aa8TGGbp3QA_T1_2_0", "video_id": "aa8TGGbp3QA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Short-haired Male - Tate]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Male - Tate]. In the front yard at night, while standing his ground as the woman screams at him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Male - Tate]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Male - Tate]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Male - Tate]", "affective_state": {"object": "[Long-haired Female - Kya]", "coarse_category": ["Guilt"], "fine_description": "Overwhelming guilt and profound shame.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Holds her gaze, raised and knitted inner brows, expression of melancholy and heaviness", "body_language": "Leans slightly forward in a humble posture of pleading for forgiveness, movements are frozen/still", "vocal_cues": "Low volume, slow and sincere tempo, voice carries a suppressed tremor", "verbal_content": "Leaving you like that was the worst thing that I've ever done. I knew how badly I'd hurt you and I couldn't face you."}}} {"unique_id": "acoG5aT26pw_T1_1_0", "video_id": "acoG5aT26pw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Black Female - Student(Akeelah)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Black Female - Student(Akeelah)]. During the study session, when the Mentor challenges the Student's hesitation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Black Female - Student(Akeelah)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Black Female - Student(Akeelah)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Black Female - Student(Akeelah)]", "affective_state": {"object": "[Middle-aged Black Male - Mentor(Dr. Larabee)]", "coarse_category": ["Anxiety"], "fine_description": "A state of stress, anxiety, and defensive insecurity.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, gaze lowered and avoiding contact, then a small tentative smile, tense expression.", "body_language": "Leaning forward over the desk with head bowed, displaying uneasiness.", "vocal_cues": "Weak voice, accelerated tempo, slightly trembling tone.", "verbal_content": "Maybe just getting there this time is good enough."}}} {"unique_id": "adxwpSdHj90_T1_1_0", "video_id": "adxwpSdHj90", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Patient(J.C.)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Patient(J.C.)]. In the doctor's office, when the man interrupts her to attend to a horse, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Patient(J.C.)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Patient(J.C.)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Patient(J.C.)]", "affective_state": {"object": "[Male in White Coat - Veterinarian(Jeff)]", "coarse_category": ["Surprise", "Anger"], "fine_description": "Intense shock shifting quickly to defensive indignation and embarrassment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Face flushed red, mouth wide open", "body_language": "Jumps off the exam table, leans forward, waves arms vigorously", "vocal_cues": "Rising pitch, loud volume", "verbal_content": "You are a what?"}}} {"unique_id": "anokNvPMR5M_T1_1_0", "video_id": "anokNvPMR5M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother(Claire)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother(Claire)]. Inside a cafe, when a stranger confronts the subject and reveals the loss of her daughter seven years ago, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother(Claire)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother(Claire)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother(Claire)]", "affective_state": {"object": "[Brown Female - Stranger(Lizzie)]", "coarse_category": ["Fear"], "fine_description": "Apprehensive unease mixed with awkward sympathy.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows slightly knit, looking down at the table, then looking back up.", "body_language": "Sits still, head briefly bowed.", "vocal_cues": "Voice slightly trembling.", "verbal_content": "I... I didn't know. I'm sorry."}}} {"unique_id": "ax59TmvzCEg_T1_1_0", "video_id": "ax59TmvzCEg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Shirt - Politician(Adam Lang)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Shirt - Politician(Adam Lang)]. Inside a private jet, when the Writer confronts the Politician with knowledge of his secret connection to Emmett, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Shirt - Politician(Adam Lang)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Shirt - Politician(Adam Lang)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Shirt - Politician(Adam Lang)]", "affective_state": {"object": "[Dark Coat - Writer(The Ghost)]", "coarse_category": ["Surprise"], "fine_description": "A sudden jolt of shock mixed with panic and disbelief.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Stares at the Writer, forces a laugh while maintaining a stiff, frozen expression.", "body_language": "Chokes on his drink, coughs repeatedly, places one hand on his chest, and then crosses his arms defensively.", "vocal_cues": "Laughs loudly but with a trembling, forced tone.", "verbal_content": "Oh, my god. You're serious, aren't you?"}}} {"unique_id": "b1W6OnrukU4_T1_1_0", "video_id": "b1W6OnrukU4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Beanie Male - Employer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Beanie Male - Employer]. In the dimly lit passage, when he informs the assistant about ceasing her salary payments, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Beanie Male - Employer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Beanie Male - Employer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Beanie Male - Employer]", "affective_state": {"object": "[Blonde Female - Assistant]", "coarse_category": ["Disgust"], "fine_description": "A state of cold detachment and calculated apathy, refusing to engage emotionally with her distress", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Expressionless, eyes cold and empty, slight movement at the corners of the mouth.", "body_language": "Relaxed but oppressive posture, stands still facing her with little movement.", "vocal_cues": "(Low pitch, flat tone, slow and firm speed) Devoid of emotional color.", "verbal_content": "Business is bad right now. Welcome to the real world."}}} {"unique_id": "b1W6OnrukU4_T1_2_1", "video_id": "b1W6OnrukU4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Assistant]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Assistant]. In the secluded corridor, when the employer informs the assistant that he will cease her salary payments, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Assistant]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Assistant]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Assistant]", "affective_state": {"object": "[Black Beanie Male - Employer]", "coarse_category": ["Anger", "Surprise"], "fine_description": "A mix of disbelief at the absurdity and intense anger at the injustice", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyebrows raised, eyes wide showing shock, facial muscles tense with anger, then gaze becomes sharp and questioning.", "body_language": "Standing straight, looking directly at the other person, gesturing alternately with hands.", "vocal_cues": "(Fast speed, rising pitch) Full of logical aggression, tone heightens when expressing absurdity.", "verbal_content": "You're going to stop paying me to do that job because I'm making too much money doing my second job?"}}} {"unique_id": "b58Zg_TRqn0_T1_1_1", "video_id": "b58Zg_TRqn0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Middle-aged Female - Housewife(Stara)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Middle-aged Female - Housewife(Stara)]. Inside the house, when she investigates a suspicious smell in the basement and discovers a room filled with animal carcasses, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Middle-aged Female - Housewife(Stara)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Middle-aged Female - Housewife(Stara)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Middle-aged Female - Housewife(Stara)]", "affective_state": {"object": "[Animal Carcasses]", "coarse_category": ["Surprise", "Fear"], "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, mouth open.", "body_language": "Looking around."}}} {"unique_id": "b58Zg_TRqn0_T1_2_0", "video_id": "b58Zg_TRqn0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Middle-aged Female - Housewife(Stara)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Middle-aged Female - Housewife(Stara)]. While she is on the phone asking for help, when a man appears at the window staring in at her, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Middle-aged Female - Housewife(Stara)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Middle-aged Female - Housewife(Stara)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Middle-aged Female - Housewife(Stara)]", "affective_state": {"object": "[Bald Male - Intruder]", "coarse_category": ["Surprise", "Fear"], "fine_description": "Shock and terror.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, mouth open.", "body_language": "Backs away slowly."}}} {"unique_id": "b5KFw1O7QOo_T1_1_0", "video_id": "b5KFw1O7QOo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Hair Female - Student(Lara Jean)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Hair Female - Student(Lara Jean)]. In the school parking lot, when Gen approaches, speaks about Peter visiting her room, and displays a scrunchie, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Hair Female - Student(Lara Jean)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Hair Female - Student(Lara Jean)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Hair Female - Student(Lara Jean)]", "affective_state": {"object": "[Brown Coat Female - Student(Gen)]", "coarse_category": ["Surprise", "Sadness"], "fine_description": "A sudden shock at the betrayal mixed with deep hurt and embarrassment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open while looking at the other person, eyes dodging and looking downward, lips pursed."}}} {"unique_id": "b65C_muXajk_T1_1_0", "video_id": "b65C_muXajk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Actress(Mia)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Actress(Mia)]. On the nighttime residential street, when Sebastian suddenly shouts loudly, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Actress(Mia)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Actress(Mia)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Actress(Mia)]", "affective_state": {"object": "[Dark Shirt Male - Partner(Sebastian)]", "coarse_category": ["Fear", "Anger"], "fine_description": "Startled surprise followed by fear of discovery and irritation at his loudness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth opens in shock.", "body_language": "Flinches, looks around panic-stricken to check for others, then waves hands and clasps them to beg him to be quiet.", "vocal_cues": "Hushed, urgent warning tone.", "verbal_content": "Shh! You have to be quiet."}}} {"unique_id": "bPH152eXEfU_T1_1_1", "video_id": "bPH152eXEfU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Light Suit Male - Tony]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Suit Male - Tony]. When Angela expresses grief over Tommy and then pivots to flattering him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Suit Male - Tony]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Suit Male - Tony]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Suit Male - Tony]", "affective_state": {"object": "[Curly Hair Female - Angela]", "coarse_category": ["Disgust"], "fine_description": "A feeling of disdain and contempt for her transparency.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth turned down, cold eyes, frowning, turning head occasionally to avoid eye contact", "body_language": "Tilting head", "vocal_cues": "Questioning tone, not very harsh or loud", "verbal_content": "Get out of here. Don't bullshit me, Angela."}}} {"unique_id": "bPH152eXEfU_T1_2_0", "video_id": "bPH152eXEfU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Light Suit Male - Tony]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Light Suit Male - Tony]. In the luxury office, when responding to Angela, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Light Suit Male - Tony]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Light Suit Male - Tony]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Light Suit Male - Tony]", "affective_state": {"object": "[Curly Hair Female - Angela]", "coarse_category": ["Disgust"], "fine_description": "Contempt and skepticism regarding her sincerity.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Raising eyebrows", "body_language": "Shaking head slightly, turning head to look elsewhere", "vocal_cues": "Quiet, steady tone with a hint of sarcasm", "verbal_content": "Yeah, yeah, first it was Frankie and now..."}}} {"unique_id": "bQzh5ugYzPg_T1_1_0", "video_id": "bQzh5ugYzPg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Jacket Male - Dave]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Jacket Male - Dave]. In the high-end restaurant, when he discovers his girlfriend Linda dining with his unorthodox therapist Buddy, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Jacket Male - Dave]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Jacket Male - Dave]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Jacket Male - Dave]", "affective_state": {"object": "[Orange Dress Female - Linda], [Black Suit Male - Buddy]", "coarse_category": ["Surprise", "Anger"], "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes wide, mouth slightly open, corners of mouth turned down.", "vocal_cues": "Prolonged, meaningful tone.", "verbal_content": "I see."}}} {"unique_id": "baNc64S4DHY_T1_1_0", "video_id": "baNc64S4DHY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Girl - Student]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Girl - Student]. In the home dining area, while discussing her father's romantic history with the woman, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Girl - Student]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Girl - Student]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Girl - Student]", "affective_state": {"object": "[Brunette Female - Woman]", "coarse_category": ["Disgust", "Frustration"], "fine_description": "A sense of grievance and detached cynicism regarding her father's relationships.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, eyes lowered to the page, mouth pulled to one side in an exasperated grimace.", "body_language": "Leaning forward slightly, tapping fingers lightly on the notebook, posture appears somewhat casual.", "vocal_cues": "Tone is slightly low, then deliberately raises volume when saying \"hot potato\" (mocking tone).", "verbal_content": "He's usually all lovey-dovey with them at first. Then he drops them like a hot potato."}}} {"unique_id": "baNc64S4DHY_T1_2_1", "video_id": "baNc64S4DHY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Brunette Female - Woman]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brunette Female - Woman]. In the home dining area, when the girl details the father's courtship tactics to the woman, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brunette Female - Woman]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brunette Female - Woman]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brunette Female - Woman]", "affective_state": {"object": "[Blonde Girl - Student]", "coarse_category": ["Embarrassment"], "fine_description": "A feeling of awkwardness and embarrassment at being seen through.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Lips slightly pursed, eyes briefly look down to avoid contact, smile appears stiff.", "body_language": "Leaning slightly back against the chair, hand movements pause.", "vocal_cues": "Speaks slightly faster, with a light, dismissive laugh, attempting to sound casual.", "verbal_content": "No, I haven't noticed."}}} {"unique_id": "bkd3RW1iSuU_T1_1_0", "video_id": "bkd3RW1iSuU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray Haired Female - Fan(Luella)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Haired Female - Fan(Luella)]. In a locker room after the game, while sharing a private moment with an athlete who expresses gratitude, based on the subject's observed body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Haired Female - Fan(Luella)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Haired Female - Fan(Luella)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Haired Female - Fan(Luella)]", "affective_state": {"object": "[Short Haired Male - Athlete(Tom)]", "coarse_category": ["Happiness"], "fine_description": "A feeling of warm delight and affection at meeting him.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Hugs him warmly face to face."}}} {"unique_id": "blQ8Wi0VAn0_T1_1_0", "video_id": "blQ8Wi0VAn0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Haired Middle Aged Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Haired Middle Aged Female - Mother]. In the interior of the house, when the Daughter returns home after an unexplained absence, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Haired Middle Aged Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Haired Middle Aged Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Haired Middle Aged Female - Mother]", "affective_state": {"object": "[Young Female In Blue Jacket - Daughter]", "coarse_category": ["Anger", "Anxiety"], "fine_description": "Intense worry manifesting as explosive anger and agitation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"body_language": "Slams items onto the table; cuts food roughly.", "vocal_cues": "Raised volume; accusatory tone.", "verbal_content": "Do you have the slightest idea what you've just put me through? I thought you were kidnapped. I thought you were dead. I thought that you were laying by the road someplace chopped into a million pieces. Go to your room. I can't talk to you right now. If I talk to you right now I'll kill you."}}} {"unique_id": "bvcLlHKiUJA_T1_1_1", "video_id": "bvcLlHKiUJA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short Hair Female - Stargirl]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Hair Female - Stargirl]. While walking on the trail, when she screams into the void, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Hair Female - Stargirl]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Hair Female - Stargirl]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Hair Female - Stargirl]", "affective_state": {"object": "[Male in Denim Jacket - Leo]", "coarse_category": ["Happiness"], "fine_description": "A state of exhilarating relief and pure, uninhibited joy.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Facial expression fully relaxed; eyes close tight then open wide, shimmering with excitement; beams with a brilliant, infectious smile after screaming.", "body_language": "Stands firmly with arms wide open to embrace the air, then bends slightly from laughter, exuding liveliness.", "vocal_cues": "Erupts into a very long, high-pitched scream, followed by crisp, melodious laughter.", "verbal_content": "Why wouldn't you?"}}} {"unique_id": "bvcLlHKiUJA_T1_2_0", "video_id": "bvcLlHKiUJA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Male in Denim Jacket - Leo]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Male in Denim Jacket - Leo]. On the wilderness trail, when Stargirl expresses her enjoyment of their interaction, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Male in Denim Jacket - Leo]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Male in Denim Jacket - Leo]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Male in Denim Jacket - Leo]", "affective_state": {"object": "[Short Hair Female - Stargirl]", "coarse_category": ["Happiness"], "fine_description": "A feeling of being cherished, validated, and deeply satisfied.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling with bright eyes, corners of the mouth raised, occasionally looking down with a soft chuckle.", "body_language": "Leans forward slightly, hands naturally in pockets or swinging gently, showing relaxation and pleasure.", "vocal_cues": "Tone is gentle and laced with a smile; speaking pace is moderate.", "verbal_content": "I like talking to you too. I'm not usually good with this."}}} {"unique_id": "cdWxw91Bf44_T1_1_1", "video_id": "cdWxw91Bf44", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Daughter]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Daughter]. When her parents and sister make an unannounced, early arrival while she is working in her living room, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Daughter]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Daughter]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Daughter]", "affective_state": {"object": "[Floral Shirt Female - Mother], [Hat Wearing Male - Father]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "A jolt of intense surprise that rapidly transforms into overwhelmed joy and excitement.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth opens, facial muscles stiffen momentarily.", "body_language": "Jolts back from the laptop with a hand to her chest, then throws her arms up.", "vocal_cues": "Emits a short, sharp gasp.", "verbal_content": "Oh my God! That was what?!"}}} {"unique_id": "cdWxw91Bf44_T1_2_0", "video_id": "cdWxw91Bf44", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Floral Shirt Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Floral Shirt Female - Mother]. When the mother and family arrive unannounced at the daughter's home, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Floral Shirt Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Floral Shirt Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Floral Shirt Female - Mother]", "affective_state": {"object": "[Blonde Female - Daughter]", "coarse_category": ["Happiness"], "fine_description": "A deep sense of satisfaction, love, and familial joy.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Bright smile, eyes crinkled, corners of mouth raised.", "body_language": "Opens arms, actively approaches daughter, leans body forward.", "vocal_cues": "Loud laughter, rising intonation.", "verbal_content": "But I lied! We've been driving 20 hours straight, a couple of days early."}}} {"unique_id": "cmgeSY8YdO4_T1_1_1", "video_id": "cmgeSY8YdO4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Suit Male - Colleague(Calvin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Suit Male - Colleague(Calvin)]. When he enters the office and discovers Cara lying motionless on the floor, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Suit Male - Colleague(Calvin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Suit Male - Colleague(Calvin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Suit Male - Colleague(Calvin)]", "affective_state": {"object": "[Redhead Female - Colleague(Cara)]", "coarse_category": ["Surprise", "Fear"], "fine_description": "A mix of sudden shock and deep concern for her well-being.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, focused and tense gaze, mouth slightly open.", "body_language": "Leans over Cara, places right hand on her shoulder, leans forward in concern.", "vocal_cues": "Accelerated tempo, urgent tone.", "verbal_content": "Cara. Cara. Cara. Hey. Oh, Cara, are you okay? Should we call a doctor?"}}} {"unique_id": "cmgeSY8YdO4_T1_2_0", "video_id": "cmgeSY8YdO4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Redhead Female - Colleague(Cara)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Colleague(Cara)]. In the office, when she lies on the floor, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Colleague(Cara)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Colleague(Cara)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Colleague(Cara)]", "affective_state": {"object": "[Redhead Female - Colleague(Cara)]", "coarse_category": ["Sadness"], "fine_description": "Deep loneliness and dramatic frustration.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Vacant eyes, downturned mouth.", "body_language": "Lies limp on her back on the floor, arms spread, letting Calvin hold her hand.", "vocal_cues": "Weak tone.", "verbal_content": "Oh, do I look okay?"}}} {"unique_id": "cpsPbbzsjxk_T1_1_0", "video_id": "cpsPbbzsjxk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray-haired Male - Father(David)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray-haired Male - Father(David)]. While sitting at a bar with his daughter's friend and recounting the story of the lake house he built with his ex-wife, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray-haired Male - Father(David)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray-haired Male - Father(David)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray-haired Male - Father(David)]", "affective_state": {"object": "[Blonde Female - Daughter's Friend(Wren)]", "coarse_category": ["Sadness"], "fine_description": "Felt a deep sense of regret and melancholic loss.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, downcast eyes, a bitter self-deprecating smile, heavy expression", "body_language": "Leaning forward, fingers unconsciously rubbing the coaster", "vocal_cues": "Slow tempo, low pitch, sighing, slightly husky voice", "verbal_content": "By the time I got there it was just ash. Three weeks later we were done"}}} {"unique_id": "cslI2draO_E_T1_1_0", "video_id": "cslI2draO_E", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Young Woman(Sally)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Young Woman(Sally)]. While intimate in a convertible at a secluded spot, when a noise occurs outside, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Young Woman(Sally)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Young Woman(Sally)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Young Woman(Sally)]", "affective_state": {"object": "[Male in Green Baseball Jacket - Young Man(Jerry)]", "coarse_category": ["Fear"], "fine_description": "A rising sense of panic and genuine fright.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widened, brows furrowed, lips slightly parted, facial muscles tense.", "body_language": "Body tense, leaning towards boyfriend for protection, hands clutching collar.", "vocal_cues": "Voice trembling, fast pace, pitch elevated (tone).", "verbal_content": "Did you hear something? I'm so very frightened."}}} {"unique_id": "cyUf4tLI53o_T1_1_0", "video_id": "cyUf4tLI53o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Helen]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Helen]. After Helen has just loudly confessed to having eight children and Frank replies that he has ten, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Helen]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Helen]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Helen]", "affective_state": {"object": "[Male in Captain Hat - Frank]", "coarse_category": ["Surprise"], "fine_description": "Extreme shock mixed with disbelief and a sense of absurdity.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide open, eyebrows raised high, mouth agape in a scream-like shape", "body_language": "Tightly gripping the metal pole of the cable car, body stiff", "vocal_cues": "High-pitched screaming tone, mechanically repeating the number '10'", "verbal_content": "Ten? Ten! Ten! Ten!"}}} {"unique_id": "cyUf4tLI53o_T1_2_1", "video_id": "cyUf4tLI53o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Male in Captain Hat - Frank]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Male in Captain Hat - Frank]. In the crowded cable car interior at night, during the serious conversation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Male in Captain Hat - Frank]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Male in Captain Hat - Frank]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Male in Captain Hat - Frank]", "affective_state": {"object": "[Blonde Female - Helen]", "coarse_category": ["Surprise"], "fine_description": "Sudden astonishment and disbelief.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyebrows raised, eyes shifting slightly, showing a look of disbelief", "body_language": "Leaning back slightly, momentarily stunned", "vocal_cues": "Rising intonation with a tone of surprised repetition", "verbal_content": "Eight children?"}}} {"unique_id": "czJL-TPz-5M_T1_1_0", "video_id": "czJL-TPz-5M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Female - Student(Julie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Female - Student(Julie)]. While [Elderly Male - Mentor(Miyagi)] instructs her in footwork, when he introduces a rhythm revealing the movements to be a waltz, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Female - Student(Julie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Female - Student(Julie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Female - Student(Julie)]", "affective_state": {"object": "[Elderly Male - Mentor(Miyagi)]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "A mix of astonishment and amused joy.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyebrows raised, eyes bright, breaking into a wide, toothy smile.", "body_language": "Body tension releases, movements become light and fluid, swaying naturally with the beat.", "vocal_cues": "Light laughter, tone of incredulous delight.", "verbal_content": "I can't believe it! I'm dancing!"}}} {"unique_id": "d7Gzm3SnUaY_T1_1_0", "video_id": "d7Gzm3SnUaY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Striped Shirt Male - Father]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Shirt Male - Father]. During the prison visit, when the daughter mentions her recent music success, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Shirt Male - Father]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Shirt Male - Father]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Shirt Male - Father]", "affective_state": {"object": "[Blue Shirt Female - Mother]", "coarse_category": ["Happiness", "Sadness"], "fine_description": "Warm pride in his daughter's talent, tinged with sorrow at visiting his wife in prison.", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth raised in a wry smile, eyes slightly squinted, brows furrowed.", "body_language": "Leaning back slightly, hands crossed, maintaining a defensive yet composed posture.", "vocal_cues": "Tone is slow and slightly teasing.", "verbal_content": "She's really talented. If you sucked, I would have told you."}}} {"unique_id": "d7WraA-roN8_T1_1_0", "video_id": "d7WraA-roN8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Striped Jacket Female - Staff]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Jacket Female - Staff]. While serving food at a shelter, when the subject is confronted by a diner, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Jacket Female - Staff]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Jacket Female - Staff]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Jacket Female - Staff]", "affective_state": {"object": "[Beanie Black Male - Diner]", "coarse_category": ["Embarrassment"], "fine_description": "The sting of having her well-meant kindness called condescension in front of a room of people.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, corners of mouth turned down, gaze lowered.", "body_language": "Turns head to look at the male staff member, then lowers head slightly."}}} {"unique_id": "d8_YaWvZz4k_T1_1_0", "video_id": "d8_YaWvZz4k", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Short Hair Female - Audrey]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Short Hair Female - Audrey]. While the family is gathered around the dining table for a meal, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Short Hair Female - Audrey]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Short Hair Female - Audrey]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Short Hair Female - Audrey]", "affective_state": {"object": "[Beige Shirt Female - Grandmother]", "coarse_category": ["Disgust"], "fine_description": "She feels a sudden wave of nausea and revulsion.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Pursed lips in a forced smile, then mouth opens to gag", "body_language": "Rushes to the restroom to vomit", "verbal_content": "Fine. I'm fine."}}} {"unique_id": "dLAfUehM_6U_T1_1_0", "video_id": "dLAfUehM_6U", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Housewife(Betty)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Housewife(Betty)]. In the home study, when [Grey-haired Male - Doctor(Dan)] presents a stack of cash and instructs the subject to deposit it in small amounts, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Housewife(Betty)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Housewife(Betty)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Housewife(Betty)]", "affective_state": {"object": "[Grey-haired Male - Doctor(Dan)]", "coarse_category": ["Anxiety"], "fine_description": "A sense of uneasiness, suspicion, and hesitation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, scrutinizing gaze, slightly parted lips.", "body_language": "Sitting at the desk, posture appears slightly tense, making hesitant hand gestures.", "vocal_cues": "Slower tempo, tone carries a note of skepticism.", "verbal_content": "um... what you want me to deposit that into my account? ...or the zombie apocalypse."}}} {"unique_id": "dZb8CGMC1zA_T1_1_0", "video_id": "dZb8CGMC1zA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses - Man(Mac)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses - Man(Mac)]. In the garage, when Mac accidentally drops the heavy dumbbell onto Teddy while trying to force the door open, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses - Man(Mac)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses - Man(Mac)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses - Man(Mac)]", "affective_state": {"object": "[White Shirt - Young Man(Teddy)]", "coarse_category": ["Surprise", "Guilt"], "fine_description": "He feels a sudden shock coupled with immediate, frantic guilt and concern.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth open", "body_language": "Bends over, initially recoils backward in shock, then steps forward with hands reaching out to comfort the injured party", "vocal_cues": "Apologetic tone, fast tempo, repetitive phrasing", "verbal_content": "I'm sorry I'm sorry I'm sorry I'm sorry okay let's do something else let's try something else"}}} {"unique_id": "dkjBBdHZNUs_T1_1_0", "video_id": "dkjBBdHZNUs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses - Girl(Margaret)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses - Girl(Margaret)]. While discussing where babies come from, when [Hat - Boy(Joey)] mocks her, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses - Girl(Margaret)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses - Girl(Margaret)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses - Girl(Margaret)]", "affective_state": {"object": "[Hat - Boy(Joey)]", "coarse_category": ["Anger"], "fine_description": "A surge of annoyance and defensive anger.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Pursed lips, puffy cheeks, intense glare", "body_language": "Slowly turns head to stare menacingly at [Hat - Boy(Joey)]"}}} {"unique_id": "eFi6bd59meQ_T1_1_0", "video_id": "eFi6bd59meQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Young Female - Sailor(Tess)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Female - Sailor(Tess)]. Outdoor scene at night, when Charlie deflects her inquiry and wishes her luck for the race, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Female - Sailor(Tess)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Female - Sailor(Tess)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Female - Sailor(Tess)]", "affective_state": {"object": "[Young Male - Former Sailor(Charlie)]", "coarse_category": ["Embarrassment"], "fine_description": "A feeling of embarrassment and awkwardness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile fades, licks lips, averts gaze.", "body_language": "Stands up, turns head aside."}}} {"unique_id": "eU4-wIieuWU_T1_1_1", "video_id": "eU4-wIieuWU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses Middle-aged Male - Teacher(Escalante)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses Middle-aged Male - Teacher(Escalante)]. When Escalante confronts the investigators regarding the invalidation of his students' AP scores, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses Middle-aged Male - Teacher(Escalante)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses Middle-aged Male - Teacher(Escalante)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses Middle-aged Male - Teacher(Escalante)]", "affective_state": {"object": "[Grey Suit Middle-aged Male - Investigator], [Black Suit Middle-aged Male - Investigator]", "coarse_category": ["Anger"], "fine_description": "Righteous indignation and protective anger", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, pursed lips, tense facial muscles.", "body_language": "Standing upright facing the investigators, holding his cap in front of him, maintaining a defensive and confrontational posture.", "vocal_cues": "Accelerated speech rate, raised volume, tone of emphasis and interrogation.", "verbal_content": "In this country, one is innocent until proven guilty, not the other way around. I want to see the tests, please!"}}} {"unique_id": "eU4-wIieuWU_T1_2_0", "video_id": "eU4-wIieuWU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Grey Suit Male - Investigator]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Suit Male - Investigator]. In the meeting room, when Escalante implies that the investigation is racially motivated and questions the investigators' integrity, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Suit Male - Investigator]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Suit Male - Investigator]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Suit Male - Investigator]", "affective_state": {"object": "[Glasses Middle-aged Male - Teacher(Escalante)]", "coarse_category": ["Anger"], "fine_description": "Offended anger mixed with contempt", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Solemn expression, eyes flashing with irritation, clenched jaw.", "body_language": "Stands facing Escalante; reaches to the open case on the table, then points down at the table with one hand as he speaks.", "vocal_cues": "Repressed but explosive tone, volume controlled but every word heavily emphasized.", "verbal_content": "No one has given me a damn thing! I suggest you let your emotions get the best of you."}}} {"unique_id": "eZHlWaIYjNE_T1_1_0", "video_id": "eZHlWaIYjNE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Friend(Iris)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Friend(Iris)]. In the living room, when Miles remains unresponsive and looks down, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Friend(Iris)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Friend(Iris)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Friend(Iris)]", "affective_state": {"object": "[Curly-haired Male - Friend(Miles)]", "coarse_category": ["Sadness"], "fine_description": "Empathic sorrow for his hurt, stirred by her own similar heartbreak.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "A sympathetic, sad look with wet eyes and a small tearful smile, then a pained, near-crying face.", "body_language": "She sighs audibly and stands up from the sofa."}}} {"unique_id": "ekfY_UVQLGE_T1_1_0", "video_id": "ekfY_UVQLGE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Female - Hostess]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Female - Hostess]. When the reporter corrects her misunderstanding about the golf score, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Female - Hostess]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Female - Hostess]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Female - Hostess]", "affective_state": {"object": "[Middle-aged Male with Glasses - Reporter]", "coarse_category": ["Embarrassment", "Sadness"], "fine_description": "Embarrassment for her earlier gaffe mixed with sadness and disappointment regarding her husband's failure.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Blinks and tilts head in realization, then smiles.", "vocal_cues": "Surprised tone shifting to a light, dismissive manner.", "verbal_content": "Oh well. Don't mind. You got stars on, weren't you?"}}} {"unique_id": "ekfY_UVQLGE_T1_2_1", "video_id": "ekfY_UVQLGE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Short-haired Female - Hostess]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Female - Hostess]. On the residential street, when the reporter informs her of her husband's score of 121, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Female - Hostess]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Female - Hostess]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Female - Hostess]", "affective_state": {"object": "[Middle-aged Male with Glasses - Reporter]", "coarse_category": ["Relief", "Happiness"], "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "She displays a slight smile and raises her eyebrows.", "body_language": "She leans her body forward.", "vocal_cues": "She sighs.", "verbal_content": "\"Ah, that's good. That means he's won?\""}}} {"unique_id": "eqJywmFkj3U_T1_1_0", "video_id": "eqJywmFkj3U", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Writer(Mavis)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Writer(Mavis)]. In the nursery, when Buddy physically blocks her attempt to kiss him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Writer(Mavis)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Writer(Mavis)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Writer(Mavis)]", "affective_state": {"object": "[Dark Sweater Male - Father(Buddy)]", "coarse_category": ["Sadness", "Surprise"], "fine_description": "A mix of shock, embarrassment, and disappointment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes looking at the man", "body_language": "Touching her mouth where he pushed her", "vocal_cues": "Self-deprecating chuckle", "verbal_content": "OK?"}}} {"unique_id": "eqJywmFkj3U_T1_2_1", "video_id": "eqJywmFkj3U", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Sweater Male - Father(Buddy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Sweater Male - Father(Buddy)]. In the nursery, when Mavis attempts to kiss Buddy and dismisses his marriage, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Sweater Male - Father(Buddy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Sweater Male - Father(Buddy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Sweater Male - Father(Buddy)]", "affective_state": {"object": "[Blonde Female - Writer(Mavis)]", "coarse_category": ["Frustration", "Disgust"], "fine_description": "Helplessness, disgust, and weary exasperation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open, brows furrowed", "body_language": "Swaying slightly, exhaling deeply", "vocal_cues": "Deep sigh"}}} {"unique_id": "etixMqUt8Ak_T1_1_0", "video_id": "etixMqUt8Ak", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male with Glasses - Original Coach(Dax)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male with Glasses - Original Coach(Dax)]. When he arrives at the gym and discovers his rival has poached his players, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male with Glasses - Original Coach(Dax)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male with Glasses - Original Coach(Dax)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male with Glasses - Original Coach(Dax)]", "affective_state": {"object": "[Bearded Male in Black T-shirt - Rival Coach(Mookie)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A mix of intense grievance, anger at the injustice, and sadness over the personal cost.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Open mouth laughing.", "body_language": "Body shakes from laughter; covers mouth with hand attempting to control it.", "vocal_cues": "Loud laughter."}}} {"unique_id": "f2h0cOmah_A_T1_1_0", "video_id": "f2h0cOmah_A", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Brown Hair Female - Teenager]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Brown Hair Female - Teenager]. On a quiet street at night, while engaging in a serious conversation and listing the adjustments required by her new life, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Brown Hair Female - Teenager]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Brown Hair Female - Teenager]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Brown Hair Female - Teenager]", "affective_state": {"object": "[Short Hair Male - Teenager]", "coarse_category": ["Anxiety"], "fine_description": "A feeling of intense pressure, overwhelm, and anxiety.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, corners of mouth depressed", "body_language": "Hands clasped in front, body leaning slightly back in a defensive posture", "vocal_cues": "(Urgent tone) Accelerated speech rate, slightly elevated pitch", "verbal_content": "A new house, a new school, all of you guys, it's all just... it's very stressful."}}} {"unique_id": "fFE8_U07a5I_T1_1_1", "video_id": "fFE8_U07a5I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Pink Top Female - Partner(Selena)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Pink Top Female - Partner(Selena)]. While sitting on the front steps, after the male agrees to her suggestion, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Pink Top Female - Partner(Selena)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Pink Top Female - Partner(Selena)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Pink Top Female - Partner(Selena)]", "affective_state": {"object": "[Gray Shirt Male - Partner(Chris)]", "coarse_category": ["Happiness"], "fine_description": "Overwhelming joy and excitement", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Continuous smiling, bright eyes, corners of mouth raised, blinking playfully.", "body_language": "Cheering happily, leaning in to kiss him, kicking legs in excitement when picked up.", "vocal_cues": "Light, infectious tone with laughter and emphasis.", "verbal_content": "Why not? Anything's possible! ... Yeah!"}}} {"unique_id": "fFE8_U07a5I_T1_2_0", "video_id": "fFE8_U07a5I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Gray Shirt Male - Partner(Chris)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Shirt Male - Partner(Chris)]. In the residential front yard, when the female suddenly shifts the topic to having children, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Shirt Male - Partner(Chris)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Shirt Male - Partner(Chris)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Shirt Male - Partner(Chris)]", "affective_state": {"object": "[Pink Top Female - Partner(Selena)]", "coarse_category": ["Happiness", "Surprise"], "fine_description": "Surprise shifting into wholehearted happiness and acceptance", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Transition from smiling to a thoughtful frown, then to a relaxed and warm smile.", "body_language": "Leans forward, looks at her deeply, then picks her up and kisses her enthusiastically.", "vocal_cues": "Gentle and firm tone, shifting to relief and cheerfulness.", "verbal_content": "Kids, huh? ... Okay, let's do it. ... Let's get started!"}}} {"unique_id": "fGz548wgGCc_T1_1_0", "video_id": "fGz548wgGCc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Curly Hair Female - Customer(Cassidy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Curly Hair Female - Customer(Cassidy)]. In a cafe or restaurant, when she discusses the logistics of her diamond courier job and articulates a hypothetical plan to stage a robbery, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Curly Hair Female - Customer(Cassidy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Curly Hair Female - Customer(Cassidy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Curly Hair Female - Customer(Cassidy)]", "affective_state": {"object": "[Long Hair Male - Customer]", "coarse_category": ["Happiness"], "fine_description": "A sense of mischievous excitement and opportunistic greed.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widened, eyebrows slightly raised, wearing a meaningful smile.", "body_language": "Leaning forward slightly, occasionally nodding to emphasize her point.", "vocal_cues": "Tone is light and brisk, with a semi-joking manner.", "verbal_content": "I feel like I should get a friend to stage a robbery, keep the diamonds for myself. Solve like 98% of my problems."}}} {"unique_id": "fGz548wgGCc_T1_2_1", "video_id": "fGz548wgGCc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long Hair Male - Customer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Hair Male - Customer]. In the cafe, when he learns that the female is transporting valuable diamonds without professional security or weapons, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Hair Male - Customer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Hair Male - Customer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Hair Male - Customer]", "affective_state": {"object": "[Brown Curly Hair Female - Customer(Cassidy)]", "coarse_category": ["Surprise"], "fine_description": "Shock and disbelief regarding the lack of safety measures.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes slightly widened.", "body_language": "Body remains stiff, staring intently at the other person, expression serious.", "vocal_cues": "Pitch rises, speaking rate slightly faster.", "verbal_content": "No security? Do you carry a pistol?"}}} {"unique_id": "fJV0KtMZ7x8_T1_1_0", "video_id": "fJV0KtMZ7x8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Protagonist(Liz)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Protagonist(Liz)]. During the consultation, when [Dark Skinned Female - Healer(Wayan)] asserts that the subject has not had sex for a long time based on her physical condition, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Protagonist(Liz)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Protagonist(Liz)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Protagonist(Liz)]", "affective_state": {"object": "[Dark Skinned Female - Healer(Wayan)]", "coarse_category": ["Embarrassment", "Surprise"], "fine_description": "A mix of shock at the audacity of the remark and awkward discomfort regarding the personal topic.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open", "body_language": "Avoiding eye contact, turning head away, resting chin on hand"}}} {"unique_id": "fSDmYGW8H7c_T1_1_0", "video_id": "fSDmYGW8H7c", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Middle-aged Male - Sheriff(James)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Middle-aged Male - Sheriff(James)]. During the eviction enforcement at Howard's home, after Howard makes a joke about their future poker nights, based on the subject's observed body language and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Middle-aged Male - Sheriff(James)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Middle-aged Male - Sheriff(James)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Middle-aged Male - Sheriff(James)]", "affective_state": {"object": "[Dark Jacket Middle-aged Male - Homeowner(Howard)]", "coarse_category": ["Guilt"], "fine_description": "A deep sense of guilt and moral struggle between professional duty and personal loyalty.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Shaking head while speaking.", "verbal_content": "Howard, uh..."}}} {"unique_id": "fVtraC0jglE_T1_1_0", "video_id": "fVtraC0jglE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red-haired Young Female - Daughter(Florence)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red-haired Young Female - Daughter(Florence)]. When her family questions the guest's social status and background, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red-haired Young Female - Daughter(Florence)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red-haired Young Female - Daughter(Florence)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red-haired Young Female - Daughter(Florence)]", "affective_state": {"object": "[Black Suit Middle-aged Male - Father], [Blue Patterned Dress Middle-aged Female - Mother], [Blonde Young Female - Sister]", "coarse_category": ["Frustration", "Anger"], "fine_description": "feels a sense of grievance and defensive annoyance at having to justify a simple social invitation", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Looks at her mother with a slightly defensive gaze, lips pursed, expression restrained but showing tension.", "body_language": "Leans forward slightly, hands resting on the table, maintaining a calm posture but with underlying stiffness.", "vocal_cues": "Speaks at a steady pace and moderate volume, but with an undertone of firm insistence.", "verbal_content": "Do you remember a couple of months ago I said I met this chap at a CND meeting? I've asked him round tomorrow for tea. Shut up. He's like me, just finished his degree. You mean, does he work in class, or one of us? His dad's headmaster of a primary school in Henley. I haven't researched his prospects. I haven't worked out his precise socio-economic status. I haven't arranged to marry him. I've asked him for tea. For tea."}}} {"unique_id": "fVtraC0jglE_T1_2_1", "video_id": "fVtraC0jglE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blue Patterned Dress Middle-aged Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Patterned Dress Middle-aged Female - Mother]. In the family dining room, when she questions her daughter about the guest's background, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Patterned Dress Middle-aged Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Patterned Dress Middle-aged Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Patterned Dress Middle-aged Female - Mother]", "affective_state": {"object": "[Male Guest]", "coarse_category": ["Disgust"], "fine_description": "She feels a sense of social superiority and contempt towards the unseen guest.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed in judgment.", "vocal_cues": "Rising intonation indicating skepticism and disdain.", "verbal_content": "Chap? What does he do? What college? But darling, that's London. For the sons of tradesmen. Florence. Well, exactly. What does your young man intend doing with himself?"}}} {"unique_id": "fYNZsz9o3Sg_T1_1_1", "video_id": "fYNZsz9o3Sg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Actress]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Actress]. While the Actor speaks about focus group scores, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Actress]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Actress]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Actress]", "affective_state": {"object": "[Green Sweater Male - Actor]", "coarse_category": ["Anger"], "fine_description": "A surge of indignation and anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, eyes widened, lips pursed tightly before opening to shout, tense facial muscles", "body_language": "Leaning forward, hands spreading or pointing at him, walking aggressively and waving arms", "vocal_cues": "Raised volume, accelerated pace, sharp tone laden with strong emotion", "verbal_content": "You're a jerk! Everything is about you! You are selfish and you are self-centered! You lied to me! You don't need anything anyone!"}}} {"unique_id": "fYNZsz9o3Sg_T1_2_0", "video_id": "fYNZsz9o3Sg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Green Sweater Male - Actor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Sweater Male - Actor]. When the Actor receives focus group data showing he scored a 32 while his co-star scored a 99, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Sweater Male - Actor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Sweater Male - Actor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Sweater Male - Actor]", "affective_state": {"object": "[Test Group]", "coarse_category": ["Surprise", "Anger"], "fine_description": "Shock mixed with narcissistic rage.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, serious and incredulous expression", "body_language": "Agitated, shouting, waving hands wildly, pacing continuously", "vocal_cues": "Loud voice, high pitch", "verbal_content": "A 32? That's for real? A 3 in front of a 2? You got 99? Were they high? Were the people on the test group high?"}}} {"unique_id": "fjodt2JnWT8_T1_1_0", "video_id": "fjodt2JnWT8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Shirt Male - Driver(Sandy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Shirt Male - Driver(Sandy)]. While traveling by car, when the passenger points out a critical flaw in the driver's plan to fly home, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Shirt Male - Driver(Sandy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Shirt Male - Driver(Sandy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Shirt Male - Driver(Sandy)]", "affective_state": {"object": "[Curly Hair Female - Passenger(Diana)]", "coarse_category": ["Anger", "Guilt"], "fine_description": "Intense frustration and self-reproach.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Pursing lips", "vocal_cues": "Loud, frustrated tone", "verbal_content": "Son of a bitch! Oh, I can't believe I missed that."}}} {"unique_id": "fkiY6TBT4mo_T1_1_1", "video_id": "fkiY6TBT4mo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Purple Top Female - Daughter(Casey)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Purple Top Female - Daughter(Casey)]. In the kitchen, when the daughter questions her father about online rumors regarding his job security, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Purple Top Female - Daughter(Casey)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Purple Top Female - Daughter(Casey)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Purple Top Female - Daughter(Casey)]", "affective_state": {"object": "[Green T-Shirt Male - Father(Billy)]", "coarse_category": ["Anxiety"], "fine_description": "A deep sense of worry and insecurity regarding the future.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Focused eyes, slight frown, corners of mouth turned down, showing concern.", "body_language": "Leaning forward, pausing with spoon in hand, movements slightly stiff.", "vocal_cues": "Tone is tentative and uneasy, with a slight tremor.", "verbal_content": "dad there's there's no way you're gonna lose your job right"}}} {"unique_id": "fkiY6TBT4mo_T1_2_0", "video_id": "fkiY6TBT4mo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Green T-Shirt Male - Father(Billy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green T-Shirt Male - Father(Billy)]. In the kitchen, when the daughter questions her father about online rumors regarding his job security, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green T-Shirt Male - Father(Billy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green T-Shirt Male - Father(Billy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green T-Shirt Male - Father(Billy)]", "affective_state": {"object": "[Purple Top Female - Daughter(Casey)]", "coarse_category": ["Anxiety"], "fine_description": "A mix of heavy guilt and anxiety about the situation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling, gentle eyes, corners of mouth raised, attempting to show confidence.", "body_language": "Deep breath, leaning forward, getting closer to daughter, relaxed gestures.", "vocal_cues": "Gentle tone, steady speaking rate.", "verbal_content": "everything's fine everything's fine really you don't have to worry"}}} {"unique_id": "fnF1_aVlIio_T1_1_0", "video_id": "fnF1_aVlIio", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Female - Girlfriend(Alice)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Female - Girlfriend(Alice)]. During the confrontation in the study, while questioning Dan about his decision to leave, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Female - Girlfriend(Alice)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Female - Girlfriend(Alice)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Female - Girlfriend(Alice)]", "affective_state": {"object": "[Male in Black Shirt - Boyfriend(Dan)]", "coarse_category": ["Sadness"], "fine_description": "Deep sadness, despair, and heartbreak.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, downturned corners of the mouth, pained expression, eventually tearing up during the embrace.", "body_language": "Rigid sitting posture, hands clenched, then actively reaching out to hug, pressing body against him.", "vocal_cues": "Trembling voice, accelerated speech rate, crying tone (choked with tears).", "verbal_content": "Dan, can I still see you? Answer me. What will you do if I find someone else? You still fancy me? You're lying. I've been you. Will you hold me? I amuse you, but I bore you. You did love me. Why are you...? You won't. You'll miss me. No-one will ever love you as much as I do. Why is that?"}}} {"unique_id": "fnF1_aVlIio_T1_2_1", "video_id": "fnF1_aVlIio", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Male in Black Shirt - Boyfriend(Dan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Male in Black Shirt - Boyfriend(Dan)]. During the confrontation in the study, when Alice questions his reasons and Dan admits his intent to leave, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Male in Black Shirt - Boyfriend(Dan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Male in Black Shirt - Boyfriend(Dan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Male in Black Shirt - Boyfriend(Dan)]", "affective_state": {"object": "[Short-haired Female - Girlfriend(Alice)]", "coarse_category": ["Guilt"], "fine_description": "Deep guilt mixed with resolute determination.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, eyes cast down, complex expression showing both pity and determination.", "body_language": "Initially leaning against the wall with arms crossed, then walking over to hug her, movements slow and restrained.", "vocal_cues": "Low tone, slow tempo, hesitant and apologetic.", "verbal_content": "I can't see you. If I see you, I'll never leave you. Be jealous. Of course. No. No. I always love you. I hate hurting you. Because I'm selfish. And I think I'll be happier with her."}}} {"unique_id": "foQnR1eZO-Y_T1_1_1", "video_id": "foQnR1eZO-Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Male - Animator(Malcolm)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Male - Animator(Malcolm)]. At the residential steps at night, when Lily shares news about a job opportunity facilitated by Mick, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Male - Animator(Malcolm)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Male - Animator(Malcolm)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Male - Animator(Malcolm)]", "affective_state": {"object": "[Long-haired Female - Girlfriend(Lily)]", "coarse_category": ["Anxiety"], "fine_description": "A mix of jealousy, skepticism, and general discomfort.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Stiff smile, avoiding eye contact, raising eyebrows in disagreement.", "body_language": "Shaking head while smoking to signal negation and disapproval.", "vocal_cues": "Flat tone, lacking enthusiasm.", "verbal_content": "I wouldn't trust that guy"}}} {"unique_id": "foQnR1eZO-Y_T1_2_0", "video_id": "foQnR1eZO-Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long-haired Female - Girlfriend(Lily)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Girlfriend(Lily)]. On the residential steps at night, when Malcolm agrees to stay, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Girlfriend(Lily)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Girlfriend(Lily)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Girlfriend(Lily)]", "affective_state": {"object": "[Short-haired Male - Animator(Malcolm)]", "coarse_category": ["Happiness"], "fine_description": "Feelings of happiness, relief, and excitement.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Happy smile.", "body_language": "Running down the stairs with open arms to hug him.", "verbal_content": "bring my nice clothes something only me look like a therapist assistant"}}} {"unique_id": "fpK36FZmTFY_T1_1_0", "video_id": "fpK36FZmTFY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Frizzy Hair Male - Factory Owner(Willy Wonka)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Frizzy Hair Male - Factory Owner(Willy Wonka)]. In the Factory Office, when the boy places the secret candy onto the Owner's desk, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Frizzy Hair Male - Factory Owner(Willy Wonka)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Frizzy Hair Male - Factory Owner(Willy Wonka)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Frizzy Hair Male - Factory Owner(Willy Wonka)]", "affective_state": {"object": "[Blonde Boy - Visitor(Charlie)]", "coarse_category": ["Happiness", "Relief"], "fine_description": "A profound sense of relief and ecstatic joy.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Smiles broadly, eyes widening, expression shifting from stern to gentle and excited.", "body_language": "Leans forward, hands opening in a welcoming gesture, then grabs the boy's shoulders.", "vocal_cues": "Soft, whispering tone shifting to enthusiastic, warm projection.", "verbal_content": "So shines a good deed in a weary world. Charlie, my boy, you won! You did it! I knew you would! I just knew you would! Oh Charlie, forgive me for putting you through this, please forgive me."}}} {"unique_id": "fs4e4XfH7n0_T1_1_1", "video_id": "fs4e4XfH7n0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Male - Astronaut(Cooper)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Male - Astronaut(Cooper)]. While watching a backlog of video messages, specifically viewing a recording from his now-adult daughter who confronts the specific milestone of reaching the age he was when he departed Earth, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Male - Astronaut(Cooper)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Male - Astronaut(Cooper)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Male - Astronaut(Cooper)]", "affective_state": {"object": "[Redheaded Female - Daughter(Murph)]", "coarse_category": ["Sadness"], "fine_description": "Overwhelming grief at hearing the years of his daughter's childhood he has missed.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Wet eyes, tense facial muscles, downturned mouth corners, eyes revealing pain and remorse", "body_language": "Hands raised, then covering mouth, body leaning slightly forward, showing suppression and struggle with emotion", "vocal_cues": "Heavy sobbing and faint whimpering, broken speech, heavy breathing accompanied by choking sounds"}}} {"unique_id": "fs4e4XfH7n0_T1_2_0", "video_id": "fs4e4XfH7n0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Redheaded Female - Daughter(Murph)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redheaded Female - Daughter(Murph)]. When the daughter records a video log for her father on her birthday, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redheaded Female - Daughter(Murph)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redheaded Female - Daughter(Murph)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redheaded Female - Daughter(Murph)]", "affective_state": {"object": "[Short-haired Male - Astronaut(Cooper)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "Resentment mixed with deep longing and sorrow", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, trembling lips, tense facial muscles, agitated expression", "body_language": "Leaning forward, frequent hand movements (raising hand, covering face), showing intense and uncontrolled emotion", "vocal_cues": "Trembling voice, accelerated speech rate, tearful tone, agitated emotion", "verbal_content": "hey dad you son of a i never made one of these and you were still responding because i was so mad at you for leaving and then when you went quiet it seemed like i should live with that decision and i had but today's my birthday and it's a special one because you told me you once told me that when you came back we might be the same age and today i'm the age you were when you left it would be a real good time for you to come"}}} {"unique_id": "g3kE0xpO1y8_T1_1_0", "video_id": "g3kE0xpO1y8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Daughter(Jo March)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Daughter(Jo March)]. When a male visitor arrives at the March family home and Jo March turns to see who has entered, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Daughter(Jo March)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Daughter(Jo March)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Daughter(Jo March)]", "affective_state": {"object": "[Dark-Haired Male - Professor(Friedrich Bhaer)]", "coarse_category": ["Happiness", "Surprise"], "fine_description": "A sudden rush of excitement and joy", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth raised, bright eyes, smiling, eyebrows raised", "body_language": "Turning around", "vocal_cues": "Light tone, sounding happy", "verbal_content": "it's you"}}} {"unique_id": "gA14LXQf-ZI_T1_1_0", "video_id": "gA14LXQf-ZI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Striped Hoodie - Lawyer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Hoodie - Lawyer]. When the subject confronts the homeowner on the driveway and refuses to vacate the premises, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Hoodie - Lawyer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Hoodie - Lawyer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Hoodie - Lawyer]", "affective_state": {"object": "[Green Sweater - Homeowner]", "coarse_category": ["Anger"], "fine_description": "An unyielding sense of challenge and contemptuous resistance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth raised, provocative gaze, facial muscles relaxed but with a sense of contempt.", "body_language": "Hands spread open, relaxed posture, mimicking the other person or making strange noises.", "vocal_cues": "High-pitched tone, sarcastic and provocative.", "verbal_content": "Look at you, you rich son of a bitch. You stole our client's property"}}} {"unique_id": "gA14LXQf-ZI_T1_2_1", "video_id": "gA14LXQf-ZI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Green Sweater - Homeowner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Sweater - Homeowner]. When the homeowner encounters two men on his driveway again, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Sweater - Homeowner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Sweater - Homeowner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Sweater - Homeowner]", "affective_state": {"object": "[Red/Grey Shirt - Lawyer]", "coarse_category": ["Anger"], "fine_description": "Irritated indignation at being intruded on again.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, lips pursed, sharp gaze, facial muscles tense.", "body_language": "Arms spread in a questioning gesture, then hands on hips to show authority, refusing to get close.", "vocal_cues": "Stiff, cold tone with obvious rejection.", "verbal_content": "What are you doing? Besides trespassing again."}}} {"unique_id": "gHfTsIMdlPg_T1_1_0", "video_id": "gHfTsIMdlPg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Producer(Becky)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Producer(Becky)]. In the woods, when Mike rejects the offer, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Producer(Becky)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Producer(Becky)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Producer(Becky)]", "affective_state": {"object": "[Grey-Haired Male - Anchor(Mike)]", "coarse_category": ["Fear", "Anxiety"], "fine_description": "A mix of immediate intimidation and high-stakes anxiety regarding the negotiation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen, licks lips", "body_language": "Leans back slightly, displaying a defensive posture"}}} {"unique_id": "gQ5KDSBMFRU_T1_1_0", "video_id": "gQ5KDSBMFRU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Elderly Female - Housekeeper]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Elderly Female - Housekeeper]. In the Housekeeper's office, when the orphan girl reveals she accessed the garden by opening a door hidden under the ivy, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Elderly Female - Housekeeper]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Elderly Female - Housekeeper]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Elderly Female - Housekeeper]", "affective_state": {"object": "[Long Hair Teenager - Orphan Girl]", "coarse_category": ["Surprise"], "fine_description": "A sudden sense of surprise and intrigue.", "polarity": "Neutral", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frequent blinking, gaze shifting.", "body_language": "Slowly stands up.", "vocal_cues": "Voice sounds somewhat anxious and interested (tone).", "verbal_content": "Go on."}}} {"unique_id": "gQ5KDSBMFRU_T1_2_1", "video_id": "gQ5KDSBMFRU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Curly Hair Elderly Female - Housekeeper]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Elderly Female - Housekeeper]. When the girl apologizes for her intrusion and describes her connection with the garden's animals and wind, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Elderly Female - Housekeeper]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Elderly Female - Housekeeper]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Elderly Female - Housekeeper]", "affective_state": {"object": "[Long Hair Teenager - Orphan Girl]", "coarse_category": ["Relief", "Happiness"], "fine_description": "A profound sense of relief and heartwarming realization.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows relax, corners of mouth turn up slightly, gaze shifts from scrutiny to softness and realization.", "body_language": "Body relaxes, leans forward slightly from standing posture, showing listening and acceptance, nodding frequently.", "vocal_cues": "Tone becomes gentle, speech slows down, with a sentimental tone.", "verbal_content": "I believe this belongs to you. It seems it was meant to belong to an orphan girl from across the ocean... just as it belonged to another orphan girl from across another ocean."}}} {"unique_id": "gWB-uAtqUIs_T1_1_0", "video_id": "gWB-uAtqUIs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Male - Date(Will)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Male - Date(Will)]. In the restaurant, when the woman confronts him about his deception regarding a child, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Male - Date(Will)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Male - Date(Will)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Male - Date(Will)]", "affective_state": {"object": "[Long-haired Female - Date(Rachel)]", "coarse_category": ["Guilt"], "fine_description": "A strong sense of shame and embarrassment upon being unmasked.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning brows, dodging eye contact", "body_language": "Leaning forward, head lowered, hand supporting forehead to shield face", "vocal_cues": "Low, weak tone", "verbal_content": "Obviously I played a part, I can see that."}}} {"unique_id": "gWB-uAtqUIs_T1_2_1", "video_id": "gWB-uAtqUIs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long-haired Female - Date(Rachel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Date(Rachel)]. In the restaurant, when the man attempts to justify his life story, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Date(Rachel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Date(Rachel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Date(Rachel)]", "affective_state": {"object": "[Short-haired Male - Date(Will)]", "coarse_category": ["Sadness"], "fine_description": "Deep disappointment and a cold realization of his lack of substance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Sharp gaze, calm but judgmental expression, tight mouth", "body_language": "Leaning back slightly, looking directly at him with a superior posture, controlled hand movements", "vocal_cues": "Unusually calm, clear tone with a hint of sarcasm", "verbal_content": "You know, the first time I met you, I thought you were a bit... blank. But then you changed my mind. But maybe I was right."}}} {"unique_id": "gYNVk-Y5w0Y_T1_1_0", "video_id": "gYNVk-Y5w0Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses - Earl]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses - Earl]. During a dinner gathering, when the neighbor Ramona pressures him to confess to a secret interaction, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses - Earl]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses - Earl]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses - Earl]", "affective_state": {"object": "[BlondeMale - Neighbor]", "coarse_category": ["Anxiety"], "fine_description": "A feeling of anxious panic.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Looking around, raising eyebrows.", "body_language": "Turns head to check others' reactions, then smiles.", "vocal_cues": "Lowered voice.", "verbal_content": "I don't think that'll be necessary. We do have an agreement, don't we?...yes I know and I accept the figures you mentioned"}}} {"unique_id": "gehf3q_IMbw_T1_1_0", "video_id": "gehf3q_IMbw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Partner(Phoebe)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Partner(Phoebe)]. When [Male in White T-shirt - Partner(Adam)] claims the late-night phone call was from a sponsor, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Partner(Phoebe)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Partner(Phoebe)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Partner(Phoebe)]", "affective_state": {"object": "[Male in White T-shirt - Partner(Adam)]", "coarse_category": ["Anger"], "fine_description": "Suspicion mixed with frustration and anger.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling", "vocal_cues": "Low volume, questioning and dissatisfied tone", "verbal_content": "Really? At 2 o'clock in the morning?"}}} {"unique_id": "geiub8WP_XE_T1_1_1", "video_id": "geiub8WP_XE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Dress Female - Suitor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Dress Female - Suitor]. When Jason rejects the idea of long-distance dating, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Dress Female - Suitor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Dress Female - Suitor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Dress Female - Suitor]", "affective_state": {"object": "[Black Suit Male - Jason]", "coarse_category": ["Sadness"], "fine_description": "A deep sense of loss and rejection.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "A momentary look of loneliness followed by a forced professional smile; eyes glistening with tears but quickly hidden.", "body_language": "Hands the red rose to Jason, then turns around sharply.", "vocal_cues": "Tone suddenly becomes relaxed and forcedly open-minded; speaking rate is steady.", "verbal_content": "It sounds to me like you've made up your mind. It was a fun night."}}} {"unique_id": "geiub8WP_XE_T1_2_0", "video_id": "geiub8WP_XE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Suit Male - Jason]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Jason]. During the conversation on the urban park walkway, when he declines the Suitor's plea regarding a long-distance relationship, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Jason]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Jason]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Jason]", "affective_state": {"object": "[Black Dress Female - Suitor]", "coarse_category": ["Relief"], "fine_description": "A mix of relief at the resolution and lingering guilt.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Expression slightly grave, avoiding eye contact, corners of mouth raised slightly but unnaturally.", "body_language": "Gestures with an open hand while explaining, then stands still with hands clasped in front.", "vocal_cues": "Tone steady but slightly hesitant; moderate speed, attempting to remain gentle.", "verbal_content": "The long distance thing. I don't believe in it."}}} {"unique_id": "h4vIn6gXWlA_T1_1_0", "video_id": "h4vIn6gXWlA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Brown Hair Female - Assistant(Andy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Brown Hair Female - Assistant(Andy)]. While dining with her date, when she receives an urgent call from her boss, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Brown Hair Female - Assistant(Andy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Brown Hair Female - Assistant(Andy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Brown Hair Female - Assistant(Andy)]", "affective_state": {"object": "[Silver Hair Female - Boss(Miranda)]", "coarse_category": ["Fear", "Anxiety"], "fine_description": "A mix of panic, high stress, and fear of consequences.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes shift from smiling to tense, lips parted, expression turns from pleasant to worried.", "body_language": "Quickly stands up from the seat, grabs the phone, moves hurriedly, leaves the dining table.", "vocal_cues": "Voice shifts from relaxed to rushed and slightly trembling.", "verbal_content": "I'm sorry that I have to take this. Hello, Miranda... Absolutely, let me see what I can do... I need it tonight, I need it."}}} {"unique_id": "h9Zol4P5u9Q_T1_1_0", "video_id": "h9Zol4P5u9Q", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Hair with Neck Brace - Injured Man]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Hair with Neck Brace - Injured Man]. In the living room, when his partner screams about 'evil forces' and jumps around, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Hair with Neck Brace - Injured Man]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Hair with Neck Brace - Injured Man]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Hair with Neck Brace - Injured Man]", "affective_state": {"object": "[Brown Hair with Bun - Partner]", "coarse_category": ["Surprise"], "fine_description": "A feeling of stunned shock.", "polarity": "Neutral", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes wide, mouth slightly open", "body_language": "Standing motionless"}}} {"unique_id": "huDFl8Whd-Y_T1_1_0", "video_id": "huDFl8Whd-Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Curly Hair Male - Boyfriend]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Curly Hair Male - Boyfriend]. In the Kitchen, when he answers a phone call from his ex-girlfriend while with his current partner, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Curly Hair Male - Boyfriend]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Curly Hair Male - Boyfriend]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Curly Hair Male - Boyfriend]", "affective_state": {"object": "[Dark Hair Female - Girlfriend]", "coarse_category": ["Fear"], "fine_description": "Nervousness and apprehension.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Slight frown with lips pressed, eyes lowered toward the phone, glances briefly at her.", "body_language": "Turns body slightly away.", "vocal_cues": "Loud, projecting a relaxed tone.", "verbal_content": "Yeah, fine."}}} {"unique_id": "huDFl8Whd-Y_T1_2_1", "video_id": "huDFl8Whd-Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Hair Female - Girlfriend]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Hair Female - Girlfriend]. In the kitchen, after her partner dismisses the phone call as history, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Hair Female - Girlfriend]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Hair Female - Girlfriend]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Hair Female - Girlfriend]", "affective_state": {"object": "[Brown Curly Hair Male - Boyfriend]", "coarse_category": ["Anger"], "fine_description": "Jealousy.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Bitter smile.", "body_language": "Spreads hands, walks away, puts hands in pockets, then drinks tea casually.", "vocal_cues": "Relaxed tone with a hint of self-mockery.", "verbal_content": "It's okay I guess I'll just I'll just have to get used to it."}}} {"unique_id": "iAlU6xt7Y_s_T1_1_0", "video_id": "iAlU6xt7Y_s", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Redhead - Student(Susan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead - Student(Susan)]. In the dimly lit restaurant, when Edward compares her eyes to her mother's, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead - Student(Susan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead - Student(Susan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead - Student(Susan)]", "affective_state": {"object": "[DarkSuit - Boyfriend(Edward)]", "coarse_category": ["Happiness", "Disgust"], "fine_description": "A complex blend of slight pleasure overshadowed by defensive irritation and sadness at the association.", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Pursed lips, forced smile", "body_language": "Slight head shake", "vocal_cues": "Lowered pitch", "verbal_content": "Just don't say I'm like my mom, okay? I don't want to be like her."}}} {"unique_id": "iCboXTJ7AVY_T1_1_0", "video_id": "iCboXTJ7AVY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray Jacket Male - Ex-Boyfriend]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Jacket Male - Ex-Boyfriend]. In the outdoor performance area, when the Singer points to an elderly bystander as her new partner, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Jacket Male - Ex-Boyfriend]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Jacket Male - Ex-Boyfriend]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Jacket Male - Ex-Boyfriend]", "affective_state": {"object": "[Silver Beanie Female - Singer]", "coarse_category": ["Surprise"], "fine_description": "A mix of shock, disbelief, and confusion.", "polarity": "Neutral", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, mouth slightly agape", "body_language": "Hands raised in a defensive, questioning gesture", "vocal_cues": "(Surprised tone)", "verbal_content": "What the hell is going on here"}}} {"unique_id": "iZx1W6cHw-g_T1_1_0", "video_id": "iZx1W6cHw-g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Short Hair - Mother(M'Lynn)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Short Hair - Mother(M'Lynn)]. In the cemetery, after her daughter's funeral, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Short Hair - Mother(M'Lynn)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Short Hair - Mother(M'Lynn)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Short Hair - Mother(M'Lynn)]", "affective_state": {"object": "[Daughter(Shelby)]", "coarse_category": ["Sadness"], "fine_description": "A torrent of agonizing grief and helpless rage.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Face distorted in anguish, tears streaming, eyes squeezed shut, mouth wide open screaming.", "body_language": "Hands covering face, waving arms frantically to vent emotion.", "vocal_cues": "Loud screaming, sobbing, incoherent questioning and shrieking.", "verbal_content": "I'm fine! I'm fine! I'm fine! I'm fine! I could jog all the way to Texas and back, but my daughter can't! She never could! Oh God, I'm so mad! I don't know what to do! I wanna know why! I wanna know why Shelby's life is over! I wanna know how that baby will ever know how wonderful his mother was! Will he ever know what she went through for him? Oh God, I wanna know why!"}}} {"unique_id": "iZx1W6cHw-g_T1_2_1", "video_id": "iZx1W6cHw-g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Grey Hair Black Hat - Friend(Ouiser)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Hair Black Hat - Friend(Ouiser)]. When Clairee grabs her and offers her to M'Lynn, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Hair Black Hat - Friend(Ouiser)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Hair Black Hat - Friend(Ouiser)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Hair Black Hat - Friend(Ouiser)]", "affective_state": {"object": "[White Hair Black Hat - Friend(Clairee)]", "coarse_category": ["Anger"], "fine_description": "Sharp anger and disbelief at the absurdity.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes wide with shock, lips trembling.", "body_language": "Pulling back, struggling to break free from the grip.", "vocal_cues": "High pitch, loud volume, speaking through gritted teeth.", "verbal_content": "Clairee, have you lost your mind? You are a pig from Hell!"}}} {"unique_id": "iZx1W6cHw-g_T1_3_2", "video_id": "iZx1W6cHw-g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Brown Short Hair - Mother(M'Lynn)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Short Hair - Mother(M'Lynn)]. In the cemetery, when M'Lynn witnesses the struggle between Clairee and Ouiser, based on the subject's observed facial expressions, body language and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Short Hair - Mother(M'Lynn)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Short Hair - Mother(M'Lynn)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Short Hair - Mother(M'Lynn)]", "affective_state": {"object": "[White Hair Black Hat - Friend(Clairee)]", "coarse_category": ["Relief"], "fine_description": "A release of tension manifesting as hysterical laughter mixed with tears.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Breaking into laughter through tears, transitioning from sobbing to smiling.", "body_language": "Body relaxing, holding a handkerchief to mouth to stifle laughter.", "verbal_content": "(Laughing)"}}} {"unique_id": "i_SnR25Zoho_T1_1_0", "video_id": "i_SnR25Zoho", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male with Glasses - Roman]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male with Glasses - Roman]. During the meeting, when the women reject his gesture regarding seating arrangements, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male with Glasses - Roman]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male with Glasses - Roman]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male with Glasses - Roman]", "affective_state": {"object": "[Female with Headscarf - Organizer], [Female in Grey Top - Activist]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A mix of defensive anger at being insulted and deep disappointment (sadness) at the cultural disconnect.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning brows, tense facial muscles.", "body_language": "Shaking head.", "vocal_cues": "Accelerated speech rate, increased volume, angry and confrontational tone.", "verbal_content": "I'm not an asshole, sister."}}} {"unique_id": "ieXrbTpZsvM_T1_1_0", "video_id": "ieXrbTpZsvM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Resident]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Resident]. When she returns to her room and finds a man she does not recognise there, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Resident]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Resident]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Resident]", "affective_state": {"object": "[Plaid Shirt Male - Stranger]", "coarse_category": ["Surprise", "Fear"], "fine_description": "A sudden shock combined with defensive wariness and confusion regarding the intruder's identity.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning", "body_language": "Puts down the cat she is holding, crosses arms in a defensive posture", "vocal_cues": "Awkward nervous laugh, serious questioning tone", "verbal_content": "Who are you? You're not Alex. I'm sorry, this is weird. Do I even know you?"}}} {"unique_id": "isiiaY7qRSE_T1_1_0", "video_id": "isiiaY7qRSE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Male - Party Guest(Tom)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Party Guest(Tom)]. Following a conversation filled with banter and shared humor at a party, when the female therapist responds to his invitation to dance, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Party Guest(Tom)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Party Guest(Tom)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Party Guest(Tom)]", "affective_state": {"object": "[Blonde Female - Therapist(Susan)]", "coarse_category": ["Surprise"], "fine_description": "A feeling of surprise and disbelief.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frown, smile suddenly disappears.", "vocal_cues": "Stern and incredulous tone.", "verbal_content": "No?"}}} {"unique_id": "itR1SZHObo0_T1_1_0", "video_id": "itR1SZHObo0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Long Hair Female - Francine]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Long Hair Female - Francine]. In the bat mitzvah banquet hall, when Emma reveals she is an internet personality who performs in subway stations, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Long Hair Female - Francine]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Long Hair Female - Francine]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Long Hair Female - Francine]", "affective_state": {"object": "[Curly Black Hair Female - Emma]", "coarse_category": ["Disgust", "Surprise"], "fine_description": "Feels a mix of surprise at the amateur nature of the work and snobbish disdain.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open, awkward smile", "body_language": "Shaking head", "verbal_content": "Cool"}}} {"unique_id": "iz3ETniN1NI_T1_1_0", "video_id": "iz3ETniN1NI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Striped Shirt Male - Suitor(Tommy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Shirt Male - Suitor(Tommy)]. Inside the restaurant, when Betsy rejects the idea of marriage and mentions her unresolved feelings, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Shirt Male - Suitor(Tommy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Shirt Male - Suitor(Tommy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Shirt Male - Suitor(Tommy)]", "affective_state": {"object": "[Curly Hair Female - Fiancee(Betsy)]", "coarse_category": ["Frustration"], "fine_description": "A feeling of frustration and disappointment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning brows, eyes wide staring at her, lips pressed tight, corners of the mouth turned down.", "body_language": "Stares at her initially, then averts his gaze and turns his head to the side."}}} {"unique_id": "izLhF-Oodrg_T1_1_1", "video_id": "izLhF-Oodrg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Hair - Victim(Cindy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Hair - Victim(Cindy)]. While seated in a diner booth, when Jack inquires about her family and suggests she return home, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Hair - Victim(Cindy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Hair - Victim(Cindy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Hair - Victim(Cindy)]", "affective_state": {"object": "[Dark Jacket - Officer(Jack)]", "coarse_category": ["Sadness", "Disgust"], "fine_description": "feeling a defensive hurt at being pried into, mixed with contempt for his naivety", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Hostile direct gaze, a sneer with a hint of mockery at the corner of the mouth, jaw tightened.", "body_language": "Lounges back against the booth with head tilted, slowly drawing the coffee stirrer from her mouth in a provocative gesture.", "vocal_cues": "Accelerated speech rate, sharp and mocking tone, increased volume.", "verbal_content": "Why you want to know that shit, huh? ... You want to fuck me? Is that what you want?"}}} {"unique_id": "izLhF-Oodrg_T1_2_0", "video_id": "izLhF-Oodrg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Jacket - Officer(Jack)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Jacket - Officer(Jack)]. In the diner booth, when he shares a story about his sister's death, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Jacket - Officer(Jack)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Jacket - Officer(Jack)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Jacket - Officer(Jack)]", "affective_state": {"object": "[Dark Hair - Victim(Cindy)]", "coarse_category": ["Sadness"], "fine_description": "feeling a heavy, restrained grief", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes cast down avoiding direct contact, brows slightly furrowed, facial muscles stiff.", "body_language": "Body remains still, exhibiting a state of contemplation and suppression.", "vocal_cues": "Low, slow, voice slightly trembling but extremely controlled.", "verbal_content": "It took them two hours to cut her out of the car. Guy was a drunk driver. ... She was your age."}}} {"unique_id": "j0kq9nF8xeY_T1_1_0", "video_id": "j0kq9nF8xeY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Short Hair Male - Flower Giver]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Short Hair Male - Flower Giver]. In the lakeside camping scene, after the female corrects his assumption about the mug, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Short Hair Male - Flower Giver]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Short Hair Male - Flower Giver]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Short Hair Male - Flower Giver]", "affective_state": {"object": "[Blonde Female - Camper]", "coarse_category": ["Happiness", "Embarrassment"], "fine_description": "A mix of awkwardness due to the failed assumption and happiness from the interaction.", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrow then relax, corners of mouth slightly raised.", "body_language": "Inhales deeply with mouth open, turns head aside, looks at the sky and behind."}}} {"unique_id": "j4OMpEp-bFk_T1_1_0", "video_id": "j4OMpEp-bFk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Boss(Carol)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Boss(Carol)]. In the conference room, when employees present a cheese platter and discuss plans for a holiday mixer, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Boss(Carol)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Boss(Carol)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Boss(Carol)]", "affective_state": {"object": "[Blonde Female - Employee]", "coarse_category": ["Surprise", "Anger"], "fine_description": "She feels a mix of disbelief, annoyance, and disdain for the employees' lack of seriousness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown", "body_language": "Tilts head slightly in confusion and surprise, then raises hands in a 'stop' gesture to interrupt the employees.", "vocal_cues": "Inquisitive, authoritative tone", "verbal_content": "Wait, sorry, excuse me. You're having a Christmas party tonight?"}}} {"unique_id": "j8aCRkRZWT0_T1_1_0", "video_id": "j8aCRkRZWT0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Taxidermist(Millicent)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Taxidermist(Millicent)]. On the night street, when she is intercepted by [Grey-Haired Male - Neighbor(Curry)] while attempting to transport the captured bear, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Taxidermist(Millicent)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Taxidermist(Millicent)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Taxidermist(Millicent)]", "affective_state": {"object": "[Grey-Haired Male - Neighbor(Curry)]", "coarse_category": ["Anger", "Frustration"], "fine_description": "A surge of impatience and annoyance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling politely.", "vocal_cues": "Perfunctory, feigned cheerful tone.", "verbal_content": "Charming."}}} {"unique_id": "jJ9VFThsqtU_T1_1_0", "video_id": "jJ9VFThsqtU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Girlfriend(Jill)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Girlfriend(Jill)]. When [Bearded Male - Boyfriend(Luke)] attempts to engage her in physical wrestling or cuddling on the sofa, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Girlfriend(Jill)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Girlfriend(Jill)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Girlfriend(Jill)]", "affective_state": {"object": "[Bearded Male - Boyfriend(Luke)]", "coarse_category": ["Disgust"], "fine_description": "A feeling of annoyance and rejection towards his touch.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, eyes avoiding the male.", "body_language": "Arms crossed in a defensive posture, pulling her arm away from the male.", "verbal_content": "Don't"}}} {"unique_id": "jsLUidiYm0w_T1_1_0", "video_id": "jsLUidiYm0w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Green Shirt Male - Employee(Peter)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Shirt Male - Employee(Peter)]. In the office cubicle, when [Suspenders Male - Boss(Lumbergh)] speaks to him regarding the clerical error on the TPS reports, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Shirt Male - Employee(Peter)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Shirt Male - Employee(Peter)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Shirt Male - Employee(Peter)]", "affective_state": {"object": "[Suspenders Male - Boss(Lumbergh)]", "coarse_category": ["Frustration", "Anger"], "fine_description": "A mix of weary frustration, disbelief, and speechlessness at the triviality of the situation.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Smiling (wry/incredulous)", "body_language": "Slight head shake"}}} {"unique_id": "jzhXtCHYrAM_T1_1_0", "video_id": "jzhXtCHYrAM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short Blonde Female - Patient(Milly)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Blonde Female - Patient(Milly)]. While having an intimate conversation in a cafe, when the friend presses the patient to discuss the reality of her medical treatment, based on the subject's observed facial expression, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Blonde Female - Patient(Milly)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Blonde Female - Patient(Milly)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Blonde Female - Patient(Milly)]", "affective_state": {"object": "[Long Dark Hair Female - Friend(Jess)]", "coarse_category": ["Sadness", "Frustration"], "fine_description": "She feels a deep sense of resignation and sadness about her prognosis.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Forced smile", "vocal_cues": "(Calm)", "verbal_content": "There's only so much they can do."}}} {"unique_id": "k4X42D5Gg7o_T1_1_1", "video_id": "k4X42D5Gg7o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Male - Doctor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Doctor]. In the hospital consulting room, when the Patient deflects the diagnosis by joking that the Doctor's accent makes things sound worse, based on the subject's observed facial expression, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Doctor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Doctor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Doctor]", "affective_state": {"object": "[Middle-aged Male - Patient]", "coarse_category": ["Frustration"], "fine_description": "Flat exasperation at having his diagnosis deflected into jokes about how he talks.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Slight frown, eyes narrowed in confusion and resignation.", "body_language": "Leaning forward slightly, hands clasped on knees, head tilted.", "verbal_content": "I'm just trying to help you."}}} {"unique_id": "k4X42D5Gg7o_T1_2_0", "video_id": "k4X42D5Gg7o", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Middle-aged Male - Patient]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Male - Patient]. In the hospital consulting room, when the Doctor informs the Patient about the difficult battle his immune system is fighting, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Male - Patient]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Male - Patient]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Male - Patient]", "affective_state": {"object": "[Blonde Male - Doctor]", "coarse_category": ["Fear"], "fine_description": "Deep fear and existential dread.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Deadpan and outwardly calm.", "body_language": "Sitting forward, hands gripping the edge of the chair.", "vocal_cues": "Neutral tone.", "verbal_content": "Your accent's very thick. You ever notice your accent makes things sound worse than they actually are? You could give good news and I'd still be like, what happened? Am I still dying?"}}} {"unique_id": "k7o8U7h_YHM_T1_1_0", "video_id": "k7o8U7h_YHM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Blue Dress Middle-aged Female - Mother(Mrs. Watson)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Blue Dress Middle-aged Female - Mother(Mrs. Watson)]. In an outdoor garden, when confronting her daughter about the wedding and the groom's family, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Blue Dress Middle-aged Female - Mother(Mrs. Watson)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Blue Dress Middle-aged Female - Mother(Mrs. Watson)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Blue Dress Middle-aged Female - Mother(Mrs. Watson)]", "affective_state": {"object": "[Beige Lace Dress Young Female - Daughter(Sabrina)]", "coarse_category": ["Anxiety", "Anger"], "fine_description": "Feels deep worry mixed with frustration and anger", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, serious expression, sharp gaze, tense facial muscles.", "body_language": "Body tense, leaning slightly forward.", "vocal_cues": "Fast pace, slightly high pitch, questioning and emphatic tone.", "verbal_content": "You don't know? Sabrina, your father and I have invested over half a million dollars in your education. Communicate!"}}} {"unique_id": "k7o8U7h_YHM_T1_2_1", "video_id": "k7o8U7h_YHM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Beige Lace Dress Young Female - Daughter(Sabrina)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Beige Lace Dress Young Female - Daughter(Sabrina)]. In an outdoor garden, when the mother confronts the subject about the rushed nature of the wedding and the groom's family, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Beige Lace Dress Young Female - Daughter(Sabrina)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Beige Lace Dress Young Female - Daughter(Sabrina)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Beige Lace Dress Young Female - Daughter(Sabrina)]", "affective_state": {"object": "[Dark Blue Dress Middle-aged Female - Mother(Mrs. Watson)]", "coarse_category": ["Anxiety"], "fine_description": "Feels defensive and anxious, with forced enthusiasm.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Exaggerated smile, raised eyebrows.", "body_language": "Frequent and hurried movements, actively grabbing mother's shoulders, frequently turning to the planner.", "vocal_cues": "Soft tone, fast pace.", "verbal_content": "Let's put some greens in with the roses, okay? For like a pop of color! And Bellinis! Mom, you love Bellinis! Jason and I are in love really in love... everybody's going to love each other because Jason and I love each other."}}} {"unique_id": "k9utcDoerr0_T1_1_0", "video_id": "k9utcDoerr0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Shirt Middle-aged Male - Uncle(Martin)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Middle-aged Male - Uncle(Martin)]. In the home study/dining room, when Martin attempts to confront Clifford about his obsession with a theme park, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Middle-aged Male - Uncle(Martin)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Middle-aged Male - Uncle(Martin)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Middle-aged Male - Uncle(Martin)]", "affective_state": {"object": "[Red Vest Male - Nephew(Clifford)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A mix of irritation, profound helplessness, and disappointment in Clifford's refusal to be normal.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Stares blankly into the distance, shaking head silently.", "body_language": "Leans forward, taps the table, and moves rapidly.", "vocal_cues": "Sighs heavily.", "verbal_content": "Oh."}}} {"unique_id": "kLOwM60zoKE_T1_1_0", "video_id": "kLOwM60zoKE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Dress - Daughter]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Dress - Daughter]. When the Mother physically shoves her in front of a police officer, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Dress - Daughter]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Dress - Daughter]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Dress - Daughter]", "affective_state": {"object": "[Middle-aged - Mother]", "coarse_category": ["Anger"], "fine_description": "A defensive surge of anger and indignation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows furrowed, lips slightly parted, eyes wide open", "body_language": "Body tense, standing her ground against the mother's shoving", "vocal_cues": "Accelerated speech rate, raised pitch, questioning/confrontational tone", "verbal_content": "Why'd you call the cops on me?"}}} {"unique_id": "kLOwM60zoKE_T1_2_1", "video_id": "kLOwM60zoKE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Middle-aged - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged - Mother]. After the daughter has been missing all day, when she suddenly appears, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged - Mother]", "affective_state": {"object": "[Black Dress - Daughter]", "coarse_category": ["Sadness", "Anger"], "fine_description": "Hysterical anger mixed with the lingering panic of the disappearance.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Red rimmed eyes, corners of mouth turned down, look of worry, expression slightly contorted", "body_language": "Violently shoving the other's shoulder, then holding head in breakdown, large amplitude movements", "vocal_cues": "Hoarse screaming, trembling tone with crying quality", "verbal_content": "You are so grounded! You smell like alcohol and what are you wearing?!"}}} {"unique_id": "kRwFOUeh-Ro_T1_1_1", "video_id": "kRwFOUeh-Ro", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red Polo - Student(Taj)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Polo - Student(Taj)]. While checking the scoreboard, when Pip drives up and addresses the team, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Polo - Student(Taj)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Polo - Student(Taj)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Polo - Student(Taj)]", "affective_state": {"object": "[Black Jacket - Rival(Pip)]", "coarse_category": ["Anger"], "fine_description": "Anger and indignation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, eyes widened, corners of mouth turned down, facial muscles tense.", "body_language": "Tense posture.", "vocal_cues": "Accelerated speech rate, raised pitch, questioning and angry tone.", "verbal_content": "Well that's great Pip, because it's very difficult to beat something that you cannot see."}}} {"unique_id": "kRwFOUeh-Ro_T1_2_0", "video_id": "kRwFOUeh-Ro", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Jacket - Rival(Pip)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Jacket - Rival(Pip)]. Outdoors on campus near the scoreboard, while speaking to the rival team, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Jacket - Rival(Pip)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Jacket - Rival(Pip)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Jacket - Rival(Pip)]", "affective_state": {"object": "[Red Polo - Student(Taj)]", "coarse_category": ["Disgust"], "fine_description": "Contempt and superiority", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth slightly raised, contemptuous look, eyebrows slightly raised.", "body_language": "Relaxed and arrogant posture.", "vocal_cues": "Steady tone, slightly mocking, moderate speech rate.", "verbal_content": "Oh by the way, just because you're all making a spectacle of yourselves doesn't mean you're not still invisible to the rest of us. ... You and your sorry lot aren't even worth spitting on."}}} {"unique_id": "kWc6rzwh8IA_T1_1_0", "video_id": "kWc6rzwh8IA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Haired Female - Wife(Terri)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Haired Female - Wife(Terri)]. When she discovers [Bald Male - Husband(Rashad)] and [Hat Wearing Female - Colleague(Drea)] alone in a storage room, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Haired Female - Wife(Terri)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Haired Female - Wife(Terri)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Haired Female - Wife(Terri)]", "affective_state": {"object": "[Bald Male - Husband(Rashad)]", "coarse_category": ["Anger"], "fine_description": "She feels explosive rage.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning and glaring at the pair", "body_language": "Lunging at [Bald Male - Husband(Rashad)], attempting to reach and grab the woman behind him"}}} {"unique_id": "kbGvnI1qIz8_T1_1_1", "video_id": "kbGvnI1qIz8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Green Dress - Irma]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Dress - Irma]. In the hotel room, when she confides in her client about her boyfriend's suspicious behavior, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Dress - Irma]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Dress - Irma]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Dress - Irma]", "affective_state": {"object": "[Eyepatch - Lord X(Nestor)]", "coarse_category": ["Sadness"], "fine_description": "Insecurity and sadness", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes cast down, brows slightly furrowed, lips pressed together, melancholic expression", "body_language": "Sits upright, head lowered then raised toward him, posture appears vulnerable and dependent", "vocal_cues": "Slow tempo, low pitch, slight tremble (tone)", "verbal_content": "Suddenly he seems so different... I mean so indifferent. He's tired all the time, not interested in me at all."}}} {"unique_id": "kbGvnI1qIz8_T1_2_0", "video_id": "kbGvnI1qIz8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Eyepatch - Lord X(Nestor)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Eyepatch - Lord X(Nestor)]. In the hotel room, when Irma suggests meeting her boyfriend across the street, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Eyepatch - Lord X(Nestor)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Eyepatch - Lord X(Nestor)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Eyepatch - Lord X(Nestor)]", "affective_state": {"object": "[Green Dress - Irma]", "coarse_category": ["Surprise", "Fear"], "fine_description": "Panic and alarm", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eye widens instantly, look of panic, facial muscles stiffen", "body_language": "Jerks body back, frantically checks watch, movements appear agitated", "vocal_cues": "Rapid tempo, unnatural tone, clear sense of panic (tone)", "verbal_content": "I really ought to be getting to the airport."}}} {"unique_id": "kswPGoPPdwE_T1_1_0", "video_id": "kswPGoPPdwE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short-haired Female - Student(Charlotte)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short-haired Female - Student(Charlotte)]. Inside a moving school bus, after the driver reveals he was born in her new home, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short-haired Female - Student(Charlotte)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short-haired Female - Student(Charlotte)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short-haired Female - Student(Charlotte)]", "affective_state": {"object": "[Young Male - Driver(Joe)]", "coarse_category": ["Happiness", "Surprise"], "fine_description": "A surge of infatuated delight, excitement, and pleasant shock.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile", "body_language": "Nodding in surprise", "vocal_cues": "Excited (tone)", "verbal_content": "Internal Monologue: \"I'm in his room.\""}}} {"unique_id": "ktGg_D09c9M_T1_1_1", "video_id": "ktGg_D09c9M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Brunette Female - Partner(Gloria)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Brunette Female - Partner(Gloria)]. When the female partner explains her overnight absence to the male partner, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Brunette Female - Partner(Gloria)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Brunette Female - Partner(Gloria)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Brunette Female - Partner(Gloria)]", "affective_state": {"object": "[Short-haired Male - Partner(Tim)]", "coarse_category": ["Disgust"], "fine_description": "A feeling of disdain.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Closing eyes", "body_language": "Shaking head slightly, covering face", "vocal_cues": "Scoffing, contemptuous tone", "verbal_content": "Fine by me."}}} {"unique_id": "l17e0M4TTBA_T1_1_0", "video_id": "l17e0M4TTBA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Haired Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Haired Female - Mother]. While walking through the woods, when she opens up about her husband's infidelity, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Haired Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Haired Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Haired Female - Mother]", "affective_state": {"object": "[Black Clothed Male - Young Man]", "coarse_category": ["Sadness"], "fine_description": "Feelings of deep sadness and vulnerability.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes looking down, occasionally looking up to prevent tears from falling, eyes wet and glistening with tears, corners of the mouth slightly drooping, facial muscles tense.", "body_language": "Repeatedly raising hands to wipe tears from the corners of eyes, accompanied by obvious deep breaths and heaving shoulders.", "vocal_cues": "Slow speaking rate, voice slightly trembling, low pitch, with multiple pauses caused by emotional fluctuations.", "verbal_content": "I found that a while ago and I didn't do anything about it. I told myself it's cuz of the girls and I just have a very comfortable life that's very clean. The thing is I just don't... I just don't love him. Not like you love her."}}} {"unique_id": "l7yVO2AWEno_T1_1_1", "video_id": "l7yVO2AWEno", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Executive]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Executive]. During the discussion regarding a plan, when the Manager's proposal disrupts the conversation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Executive]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Executive]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Executive]", "affective_state": {"object": "[White Shirt Male - Manager]", "coarse_category": ["Frustration"], "fine_description": "A feeling of intense irritation and impatience.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes closed tight, frowning.", "body_language": "Leans forward and waves her right hand as she rejects the proposal, then clutches her head.", "vocal_cues": "Loud, sharp voice.", "verbal_content": "What are you talking about? We are not beating Harold in fucking Mexico. That's crazy."}}} {"unique_id": "l7yVO2AWEno_T1_2_0", "video_id": "l7yVO2AWEno", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Shirt Male - Manager]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Male - Manager]. During the tense discussion regarding a plan, when the Executive intervenes, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Male - Manager]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Male - Manager]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Male - Manager]", "affective_state": {"object": "[Blonde Female - Executive]", "coarse_category": ["Surprise", "Disgust"], "fine_description": "A blend of surprise at her outburst and disgust, underpinned by a slight nervousness about losing control.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Mouth slightly open.", "body_language": "Stands behind the desk, leaning forward on it with his hands, then lowering his gaze.", "vocal_cues": "Quiet, calm voice.", "verbal_content": "Stay focused"}}} {"unique_id": "lKBbFHMEvDc_T1_1_0", "video_id": "lKBbFHMEvDc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray-Haired Male - Student(Thornton)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray-Haired Male - Student(Thornton)]. During a high-stakes oral exam, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray-Haired Male - Student(Thornton)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray-Haired Male - Student(Thornton)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray-Haired Male - Student(Thornton)]", "affective_state": {"object": "[Blonde Female - Professor(Diane)], [Black Suit Male - Head Examiner]", "coarse_category": ["Anger"], "fine_description": "Intense frustration and grievance, manifesting as a defiant, explosive release of tension.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Tense facial muscles, sharp gaze, agitated expression, mouth wide open, displaying raw emotion.", "body_language": "Leaning forward, intense gestures, restless, showing high tension.", "vocal_cues": "High-pitched, rapid voice with trembling and explosive power.", "verbal_content": "I can't take it no more! I feel like I just gave birth to an accountant! Do not go gentle into that good night... rage rage against the dying of the light!"}}} {"unique_id": "lKBbFHMEvDc_T1_2_1", "video_id": "lKBbFHMEvDc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Professor(Diane)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Professor(Diane)]. In the formal academic examination room, when the student finishes reciting the poem, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Professor(Diane)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Professor(Diane)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Professor(Diane)]", "affective_state": {"object": "[Gray-Haired Male - Student(Thornton)]", "coarse_category": ["Happiness"], "fine_description": "A warm, supportive desire to encourage him to speak his truth.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Focused gaze, slight smile, expression shifting from concern to gentle encouragement.", "body_language": "Seated facing him, leaning slightly forward toward him.", "vocal_cues": "Gentle tone, steady pace, guiding.", "verbal_content": "Thornton, what is that poem mean to you?"}}} {"unique_id": "lKU5GNOEj3Q_T1_1_0", "video_id": "lKU5GNOEj3Q", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Partner(Phoebe)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Partner(Phoebe)]. After she forcibly takes the phone to check for evidence, based on the subject's observed body language and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Partner(Phoebe)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Partner(Phoebe)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Partner(Phoebe)]", "affective_state": {"object": "[Male in White T-Shirt - Partner(Adam)]", "coarse_category": ["Relief"], "fine_description": "A mix of relief that he is not cheating and disappointment or exhaustion regarding the conflict.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Tosses the phone onto the table casually, then raises hand to fix hair.", "vocal_cues": "Sighs audibly."}}} {"unique_id": "lKU5GNOEj3Q_T1_2_1", "video_id": "lKU5GNOEj3Q", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Male in White T-Shirt - Partner(Adam)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Male in White T-Shirt - Partner(Adam)]. After checking the phone, when Phoebe confronts Adam about his emotional avoidance and distance, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Male in White T-Shirt - Partner(Adam)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Male in White T-Shirt - Partner(Adam)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Male in White T-Shirt - Partner(Adam)]", "affective_state": {"object": "[Blonde Female - Partner(Phoebe)]", "coarse_category": ["Guilt"], "fine_description": "Guilt over his lack of transparency and anxiety about the potential breakdown of the relationship.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Eyes dodging, looking downwards.", "body_language": "Nods slightly and continuously while answering, then turns head to the side.", "vocal_cues": "Voice is soft, quiet, and sounds guilty.", "verbal_content": "Yeah, you're right I know"}}} {"unique_id": "lS8X7wWGcn8_T1_1_1", "video_id": "lS8X7wWGcn8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly-Haired Male - Son(Jordan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly-Haired Male - Son(Jordan)]. At a memorial service, when he stands before an audience to read a journal entry left by his late father, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly-Haired Male - Son(Jordan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly-Haired Male - Son(Jordan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly-Haired Male - Son(Jordan)]", "affective_state": {"object": "[Middle-Aged Female - Mother(Dana)]", "coarse_category": ["Sadness"], "fine_description": "Deep grief mixed with intense longing and underlying pride.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Wet, reddened eyes, a solemn expression, and mouth twitching slightly.", "body_language": "Hands gripping the journal tightly, shoulders trembling slightly, and body posture stiffening.", "vocal_cues": "A heavy tone, voice clearly choking up, and a slow pace with frequent pauses.", "verbal_content": "Because love is the one thing in this world that's worth fighting for"}}} {"unique_id": "lS8X7wWGcn8_T1_2_0", "video_id": "lS8X7wWGcn8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Middle-Aged Female - Mother(Dana)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-Aged Female - Mother(Dana)]. During the ceremony, while watching her son attempt to read the journal entry left by her late husband, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-Aged Female - Mother(Dana)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-Aged Female - Mother(Dana)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-Aged Female - Mother(Dana)]", "affective_state": {"object": "[Curly-Haired Male - Son(Jordan)]", "coarse_category": ["Sadness"], "fine_description": "Heartbreaking grief and compassion.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes filled with tears; soft and sorrowful expression; lips trembling slightly.", "body_language": "Raises hand to cover face, then steps quickly through the crowd towards her son.", "vocal_cues": "Subtle sniffling and suppressed crying sounds."}}} {"unique_id": "lYLHNHt81AA_T1_1_1", "video_id": "lYLHNHt81AA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses Middle-aged Male - Fake Policeman]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses Middle-aged Male - Fake Policeman]. At the residential doorstep, while the resident questions his identity, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses Middle-aged Male - Fake Policeman]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses Middle-aged Male - Fake Policeman]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses Middle-aged Male - Fake Policeman]", "affective_state": {"object": "[Curly Middle-aged Female - Resident]", "coarse_category": ["Fear"], "fine_description": "Nervousness and apprehension about being exposed.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Corners of mouth flat, attempting to force a smile", "body_language": "Swaying body left and right, bobbing up and down on toes", "vocal_cues": "Clearing throat, coughing", "verbal_content": "Police."}}} {"unique_id": "lYLHNHt81AA_T1_2_0", "video_id": "lYLHNHt81AA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Glasses Middle-aged Male - Fake Policeman]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses Middle-aged Male - Fake Policeman]. When the resident demands to see the man's police badge, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses Middle-aged Male - Fake Policeman]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses Middle-aged Male - Fake Policeman]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses Middle-aged Male - Fake Policeman]", "affective_state": {"object": "[Curly Middle-aged Female - Resident]", "coarse_category": ["Fear"], "fine_description": "Anxiety and fear of being caught.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Serious contemplation followed by a smile, widening eyes", "body_language": "Swaying body slightly left and right, adjusting stance", "vocal_cues": "Relaxed tone, coughing", "verbal_content": "Well, so would I. Unfortunately, that today is going to be a bit of a problem."}}} {"unique_id": "lnfpTgAQ0Ys_T1_1_0", "video_id": "lnfpTgAQ0Ys", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Shirt Male - General Manager(Sonny)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Male - General Manager(Sonny)]. Outdoors on a bench, when Ali questions Sonny's past decision to fire his father, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Male - General Manager(Sonny)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Male - General Manager(Sonny)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Male - General Manager(Sonny)]", "affective_state": {"object": "[White Sleeveless Female - Girlfriend(Ali)]", "coarse_category": ["Sadness", "Guilt"], "fine_description": "Deep sadness mixed with the heavy burden of guilt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, averted gaze, tight lips, solemn expression.", "body_language": "Leaning slightly forward, hands on knees, tense posture.", "vocal_cues": "Slow tempo, low pitch, hesitant and apologetic tone.", "verbal_content": "It was my mother who asked me to do it. My dad's doctors told him that the stress of coaching was going to kill him... So I gave it to my mom, and I fired him."}}} {"unique_id": "lnfpTgAQ0Ys_T1_2_1", "video_id": "lnfpTgAQ0Ys", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Sleeveless Female - Girlfriend(Ali)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Sleeveless Female - Girlfriend(Ali)]. When Sonny reveals he allowed his father to believe the firing was personal, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Sleeveless Female - Girlfriend(Ali)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Sleeveless Female - Girlfriend(Ali)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Sleeveless Female - Girlfriend(Ali)]", "affective_state": {"object": "[White Shirt Male - General Manager(Sonny)]", "coarse_category": ["Surprise", "Sadness"], "fine_description": "Shock combined with profound sympathy.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyebrows slightly raised, eyes widened, mouth slightly open.", "body_language": "Staring intently at him, leaning towards him.", "vocal_cues": "Incredulous yet soft tone, gentle voice.", "verbal_content": "How come you never told me that before? You never told him. You just, you let him believe that his only son would just fire him."}}} {"unique_id": "lpdIzawWjAs_T1_1_0", "video_id": "lpdIzawWjAs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Partner(Lisa)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Partner(Lisa)]. When she informs her partner she is visiting another man and he responds, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Partner(Lisa)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Partner(Lisa)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Partner(Lisa)]", "affective_state": {"object": "[Blonde Male - Partner(Matty)]", "coarse_category": ["Sadness", "Disgust"], "fine_description": "Feeling a mix of disappointment and resignation alongside a realization of his absurdity.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Reddened eyes, downturned mouth, avoiding eye contact, expression containing suppressed sadness.", "body_language": "Leaning back slightly, hands gently touching his sleeve, attempting to soothe but with a passive posture.", "vocal_cues": "Soft tone, slightly trembling, trying to maintain calm.", "verbal_content": "Okay. ... No, I get it."}}} {"unique_id": "lsa5PDPgJmI_T1_1_0", "video_id": "lsa5PDPgJmI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Jacket - Customer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Jacket - Customer]. Inside McDonald's restaurant, when the employee repeatedly upsells items, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Jacket - Customer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Jacket - Customer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Jacket - Customer]", "affective_state": {"object": "[Red Hat Glasses - Employee(Darryl)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Impatience, frustration, and annoyance", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes downcast, corners of mouth slightly depressed, trying to maintain a smile but appearing stiff", "body_language": "Shaking head, displaying impatience", "vocal_cues": "Tone steady but slightly suppressed, voice soft", "verbal_content": "Just give me my damn burger right"}}} {"unique_id": "lsa5PDPgJmI_T1_2_1", "video_id": "lsa5PDPgJmI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Colorful Sweater - Passenger]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Colorful Sweater - Passenger]. In the subway car, after being harassed and robbed while the employee sits nearby reading a handbook, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Colorful Sweater - Passenger]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Colorful Sweater - Passenger]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Colorful Sweater - Passenger]", "affective_state": {"object": "[Red Hat Glasses - Employee(Darryl)]", "coarse_category": ["Anger"], "fine_description": "Indignation and anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, serious expression", "body_language": "Slaps the book out of the man's hands", "vocal_cues": "Angry voice (tone)", "verbal_content": "Muttering curse words"}}} {"unique_id": "m1JgMM8b9_w_T1_1_1", "video_id": "m1JgMM8b9_w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Green Striped Suit Male - Teacher(Kimble)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Striped Suit Male - Teacher(Kimble)]. In the Elementary School Classroom, when a student lists multiple adults who are 'better' than the teacher, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Striped Suit Male - Teacher(Kimble)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Striped Suit Male - Teacher(Kimble)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Striped Suit Male - Teacher(Kimble)]", "affective_state": {"object": "[Blonde Boy - Student]", "coarse_category": ["Frustration", "Sadness"], "fine_description": "Deep exhaustion and frustration.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, eyes cast down, tight mouth, tense facial muscles", "body_language": "Shoulders slumped, sitting on a small table and leaning forward toward the boy, head lowered.", "vocal_cues": "Low pitch, slow tempo", "verbal_content": "Is she really? ... Great. ... I really appreciate your honesty. Do you happen to know someone that is not better than me?"}}} {"unique_id": "m1JgMM8b9_w_T1_2_0", "video_id": "m1JgMM8b9_w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Green Striped Suit Male - Teacher(Kimble)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Green Striped Suit Male - Teacher(Kimble)]. After returning to the motel room where his partner is staying, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Green Striped Suit Male - Teacher(Kimble)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Green Striped Suit Male - Teacher(Kimble)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Green Striped Suit Male - Teacher(Kimble)]", "affective_state": {"object": "[Redhead Female - Partner(O'Hara)]", "coarse_category": ["Sadness"], "fine_description": "Feeling extreme physical fatigue and emotional despair", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Sweaty forehead, drooping eyelids, downturned mouth, slack facial muscles", "body_language": "Stands stiffly at the foot of the bed, then topples forward rigidly face-first and stays lying motionless, face down", "vocal_cues": "Heavy and broken breathing, weak tone", "verbal_content": "I can't do it. They're horrible."}}} {"unique_id": "m5Qi_YVxd5M_T1_1_0", "video_id": "m5Qi_YVxd5M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male - Street Youth(Paul)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male - Street Youth(Paul)]. While speaking to Ouisa from a dilapidated phone booth at night, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male - Street Youth(Paul)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male - Street Youth(Paul)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male - Street Youth(Paul)]", "affective_state": {"object": "[Blonde Female - Rich Housewife(Ouisa)]", "coarse_category": ["Happiness", "Relief"], "fine_description": "feeling a mix of relief, deep attachment, and humble love", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Bright smile, bright eyes, corners of the mouth raised, expression full of anticipation.", "body_language": "Leaning forward, holding the phone receiver, posture relaxed and positive.", "vocal_cues": "Rising intonation, accelerated speech rate, full of enthusiasm.", "verbal_content": "You would just like my father. ... Sydney."}}} {"unique_id": "m5Qi_YVxd5M_T1_2_2", "video_id": "m5Qi_YVxd5M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Rich Housewife(Ouisa)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Rich Housewife(Ouisa)]. While speaking on the phone in her luxury apartment to coordinate a plan for Paul's surrender, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Rich Housewife(Ouisa)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Rich Housewife(Ouisa)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Rich Housewife(Ouisa)]", "affective_state": {"object": "[Black Male - Street Youth(Paul)]", "coarse_category": ["Frustration", "Sadness"], "fine_description": "Feeling a strong maternal resonance mixed with helplessness regarding their class difference.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Moist eyes, corners of the mouth trembling then slightly raising.", "body_language": "Gets up from the armchair and stands upright holding the phone, posture appearing slightly tense.", "vocal_cues": "Tone steady but slightly hesitant, moderate speech rate.", "verbal_content": "Tell me we will take you to the police and they will treat you with dignity ... I'll meet you in the lobby of the Waverly movie theater we'll be there in half an hour I'll give you 15 minutes grace time we'll be there"}}} {"unique_id": "m5Qi_YVxd5M_T1_3_1", "video_id": "m5Qi_YVxd5M", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[White-haired Male - Rich Husband(Flan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White-haired Male - Rich Husband(Flan)]. When he paces in the living room and demands that Ouisa end the phone call, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White-haired Male - Rich Husband(Flan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White-haired Male - Rich Husband(Flan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White-haired Male - Rich Husband(Flan)]", "affective_state": {"object": "[Blonde Female - Rich Housewife(Ouisa)]", "coarse_category": ["Anger"], "fine_description": "explosive anger and severe anxiety", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Face flushed, brows tightly furrowed, eyes glaring, mouth wide open.", "body_language": "Pacing irritably in front of his wife, swinging one arm forcefully toward her and the phone.", "vocal_cues": "Extremely high volume, very fast speech rate, voice cracking with anger.", "verbal_content": "Get him off the phone or I'll rip the fucking line out of the wall!"}}} {"unique_id": "m6IDlWrKnfQ_T1_2_0", "video_id": "m6IDlWrKnfQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Redhead Female - Wife(Ruth)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Wife(Ruth)]. While sitting down to breakfast, when the maid causes a commotion, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Wife(Ruth)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Wife(Ruth)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Wife(Ruth)]", "affective_state": {"object": "[Chef Hat Elderly Female - Maid(Edna)]", "coarse_category": ["Anger", "Surprise"], "fine_description": "Felt shock mixed with indignation", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide, face tense, staring with scrutiny.", "body_language": "Stands up and rushes to the kitchen, hands gesturing anxiously, then follows outside.", "vocal_cues": "High-pitched, questioning tone.", "verbal_content": "What on earth has happened? ... Edna! You can't leave us!"}}} {"unique_id": "m6IDlWrKnfQ_T1_3_1", "video_id": "m6IDlWrKnfQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Chef Hat Elderly Female - Maid(Edna)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Chef Hat Elderly Female - Maid(Edna)]. In the blue kitchen, while Edna is preparing food, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Chef Hat Elderly Female - Maid(Edna)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Chef Hat Elderly Female - Maid(Edna)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Chef Hat Elderly Female - Maid(Edna)]", "affective_state": {"object": "The knives flying out of the cupboard", "coarse_category": ["Fear", "Surprise"], "fine_description": "Felt extreme terror", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes extremely wide, pupils constricted, mouth gaping in a scream, face contorted.", "body_language": "Body shaking violently, recoiling, hands waving helplessly, then freezing.", "vocal_cues": "High-pitched, continuous screaming with trembling."}}} {"unique_id": "mGf4oL6RLGs_T1_1_0", "video_id": "mGf4oL6RLGs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Top Female - Partner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Top Female - Partner]. When her partner re-enters the room with breakfast, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Top Female - Partner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Top Female - Partner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Top Female - Partner]", "affective_state": {"object": "[Black Suit Male - Partner]", "coarse_category": ["Surprise", "Embarrassment"], "fine_description": "A sudden jolt of surprise mixed with acute awkwardness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen and mouth opens in shock, followed by a quickly forced smile.", "body_language": "Jerks head around from a prone position on the sofa, then quickly sits upright to adjust her posture.", "vocal_cues": "Surprised tone with rising inflection indicating confusion, slightly stuttering.", "verbal_content": "Hi. I thought you left."}}} {"unique_id": "mOSZjkJrnrE_T1_1_0", "video_id": "mOSZjkJrnrE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White-Haired Male - Interviewer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White-Haired Male - Interviewer]. During a job interview, when the applicant explains his work ethic and video resume skills, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White-Haired Male - Interviewer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White-Haired Male - Interviewer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White-Haired Male - Interviewer]", "affective_state": {"object": "[Dark Jacket Male - Applicant]", "coarse_category": ["Happiness"], "fine_description": "Feels wry, ironic amusement at the candidate's pitch without being won over.", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Smiling with pursed lips", "body_language": "Frequently nodding slightly, affirming the applicant's points", "vocal_cues": "(Smiling tone/Chuckle)"}}} {"unique_id": "mOSZjkJrnrE_T1_2_1", "video_id": "mOSZjkJrnrE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White-Haired Male - Interviewer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White-Haired Male - Interviewer]. When the interview is disrupted by the applicant's phone buzzing repeatedly and his subsequent request, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White-Haired Male - Interviewer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White-Haired Male - Interviewer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White-Haired Male - Interviewer]", "affective_state": {"object": "[Dark Jacket Male - Applicant]", "coarse_category": ["Sadness"], "fine_description": "Feels a shift from approval to deep disappointment and dissatisfaction.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Initially raises eyebrows and smiles in agreement, then purses lips as the smile fades", "body_language": "Clasps hands together on the table, turns head slightly to the side", "verbal_content": "What could be more important?"}}} {"unique_id": "mTYe5PvlRno_T1_1_0", "video_id": "mTYe5PvlRno", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Daughter(Mary)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Daughter(Mary)]. During the outdoor family dinner, when the mother persists in recalling memories, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Daughter(Mary)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Daughter(Mary)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Daughter(Mary)]", "affective_state": {"object": "[Elderly Female - Mother]", "coarse_category": ["Anger"], "fine_description": "Intense anger and frustration leading to a loss of composure.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, staring with wide eyes", "body_language": "Waving hands vigorously, standing up abruptly", "vocal_cues": "Sharp, loud, angry tone", "verbal_content": "I'm not interested in what you remember... shut up"}}} {"unique_id": "mTYe5PvlRno_T1_2_3", "video_id": "mTYe5PvlRno", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Daughter(Mary)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Daughter(Mary)]. During the outdoor family dinner, when the mother complains about her and calls her a 41-year-old woman in front of the guests, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Daughter(Mary)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Daughter(Mary)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Daughter(Mary)]", "affective_state": {"object": "[Elderly Female - Mother]", "coarse_category": ["Anger", "Embarrassment"], "fine_description": "A mix of defensive anger, social embarrassment, and underlying panic.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, eyes glancing secretly at her partner", "body_language": "Chin slightly raised, eyebrows lifted, retorting to her mother", "vocal_cues": "Voice raises on the word 'pays' to emphasize financial contribution", "verbal_content": "you would think that a mother would appreciate the very expensive nursing home her daughter pays for her"}}} {"unique_id": "mTYe5PvlRno_T1_3_1", "video_id": "mTYe5PvlRno", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Blonde Girl - Child]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Girl - Child]. During the outdoor family dinner, when Mary asks about the girl's clothes, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Girl - Child]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Girl - Child]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Girl - Child]", "affective_state": {"object": "[Blonde Female - Daughter(Mary)]", "coarse_category": ["Disgust"], "fine_description": "Disgust and contempt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Raised eyebrows, sarcastic smile", "vocal_cues": "Sarcastic tone", "verbal_content": "hum, you did the laundry"}}} {"unique_id": "mTYe5PvlRno_T1_4_2", "video_id": "mTYe5PvlRno", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 4, "known_fields": {"subject": "[Blonde Male - Partner(Bob)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Partner(Bob)]. During the outdoor family dinner, when the conversation reveals Mary's true age, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Partner(Bob)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Partner(Bob)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Partner(Bob)]", "affective_state": {"object": "[Blonde Female - Daughter(Mary)]", "coarse_category": ["Surprise"], "fine_description": "Surprise and confusion.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, eyes staring into the void", "body_language": "Spoon in hand pauses near mouth"}}} {"unique_id": "mbTKo5Ylypw_T1_1_1", "video_id": "mbTKo5Ylypw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short Hair Male - Brother(Frank)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Hair Male - Brother(Frank)]. In the restaurant hallway, when he confronts Jack, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Hair Male - Brother(Frank)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Hair Male - Brother(Frank)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Hair Male - Brother(Frank)]", "affective_state": {"object": "[Long Hair Male - Brother(Jack)]", "coarse_category": ["Anger"], "fine_description": "Frustration and stern protective anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Serious face", "body_language": "Leaning forward, invading Jack's space", "vocal_cues": "Controlled volume but sudden increase in intensity", "verbal_content": "Leave her alone I mean it Jack this isn't some hat check girl you can leave behind."}}} {"unique_id": "mbTKo5Ylypw_T1_2_0", "video_id": "mbTKo5Ylypw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Singer(Susie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Singer(Susie)]. In the Hotel Suite, when Frank and Jack engage in an argument about musical timing that escalates into a physical scuffle, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Singer(Susie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Singer(Susie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Singer(Susie)]", "affective_state": {"object": "[Male Group - Brothers(Jack and Frank)]", "coarse_category": ["Happiness"], "fine_description": "Mocking amusement and curiosity.", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Rolling eyes, thoughtful look", "body_language": "Hiding near the doorway, peeking in", "vocal_cues": "Low pitch, mocking tone", "verbal_content": "The newlywed game."}}} {"unique_id": "mcXnAOcF_Sc_T1_1_0", "video_id": "mcXnAOcF_Sc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short Hair Black Female - Wife]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Hair Black Female - Wife]. When the man in the red cap enters the kitchen and speaks about 'handling' a situation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Hair Black Female - Wife]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Hair Black Female - Wife]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Hair Black Female - Wife]", "affective_state": {"object": "[Red Hat Male - Intruder]", "coarse_category": ["Fear", "Surprise"], "fine_description": "Shock and fear", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes conveying worry and confusion, lips parted as if trying to formulate a response.", "body_language": "Steps back, raising hands slightly in a defensive posture.", "vocal_cues": "Speaks with a slightly accelerated pace and a trembling voice, attempting to sound composed.", "verbal_content": "What are you doing? Totally, I think you need to leave."}}} {"unique_id": "mcXnAOcF_Sc_T1_2_1", "video_id": "mcXnAOcF_Sc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Red Hat Male - Intruder]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Hat Male - Intruder]. In a bright kitchen filled with a tense atmosphere, when he speaks to the woman about handling a problem, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Hat Male - Intruder]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Hat Male - Intruder]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Hat Male - Intruder]", "affective_state": {"object": "[Short Hair Black Female - Wife]", "coarse_category": ["Frustration", "Anger"], "fine_description": "Grievance and desperation", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brows tightly knit, eyes urgent, facial muscles tense, displaying a painful and pleading expression.", "body_language": "Removes hat to adjust hair, takes deep breaths, leans forward to close the distance, hands trembling slightly as he tries to capture her attention.", "vocal_cues": "Rapid speech rate, raised volume, tone filled with pleading and anxiety.", "verbal_content": "I just I just wanted to see you alone it seems like we just never get a chance to be alone you know just the two of us... I'm sorry but I screwed up something I didn't see coming but I handled it... and I just want you to know that from now on I'm gonna handle everything... you might be hearing some pretty bad things about me about us and they're liars..."}}} {"unique_id": "melCNhYmwII_T1_1_0", "video_id": "melCNhYmwII", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother(Marietta)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother(Marietta)]. In the indoor living room, after hanging up the phone and while addressing Lula, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother(Marietta)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother(Marietta)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother(Marietta)]", "affective_state": {"object": "[Male - Caller(Sailor)]", "coarse_category": ["Anger"], "fine_description": "She feels intense, protective anger and indignation", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, stern gaze, eyes welling with tears", "body_language": "Points finger at daughter while speaking", "vocal_cues": "Sharp, accelerated, and threatening tone", "verbal_content": "you know who that was and you know that you aren't and I mean are not going to see him ever end of story"}}} {"unique_id": "msKueuPsVrg_T1_1_0", "video_id": "msKueuPsVrg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Middle-aged Female - Caretaker(Annie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Female - Caretaker(Annie)]. While recounting an experience to the patient, when she accidentally spills the soup onto the bed, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Female - Caretaker(Annie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Female - Caretaker(Annie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Female - Caretaker(Annie)]", "affective_state": {"object": "[Bedridden Male - Patient(Paul)]", "coarse_category": ["Anger"], "fine_description": "Defensive rage.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, wide eyes, open mouth, tense facial muscles.", "body_language": "Leaning forward, intense hand gestures.", "vocal_cues": "High-pitched, fast-paced, intense tone.", "verbal_content": "what do you think I'd say when I go to the feed store in town... give me a bag of that effing pig feed... look see what you made me do"}}} {"unique_id": "mv3qeSxmp68_T1_1_0", "video_id": "mv3qeSxmp68", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Hair - Prisoner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Hair - Prisoner]. In the prison yard outdoor area, when the man he greeted as 'Iceman' asks what he is in for and invites him to hit him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Hair - Prisoner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Hair - Prisoner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Hair - Prisoner]", "affective_state": {"object": "[Black Beanie - Prisoner]", "coarse_category": ["Embarrassment", "Anxiety"], "fine_description": "A feeling of awkwardness and apprehension.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Confident expression shifting to a confused smile while looking at the other person.", "body_language": "Touches nose, keeps arm relaxed on the railing, looks around, and tilts head slightly upward.", "vocal_cues": "(Relaxed tone) ... (Whispering, guilty tone)", "verbal_content": "Arson... What, are you kidding?"}}} {"unique_id": "nJwGWiuonws_T1_1_1", "video_id": "nJwGWiuonws", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Leopard Print Female - Patient]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Leopard Print Female - Patient]. During the medical examination, when the doctor releases her eyebrow and it snaps back up, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Leopard Print Female - Patient]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Leopard Print Female - Patient]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Leopard Print Female - Patient]", "affective_state": {"object": "[White Coat Male - Doctor(Maccabee)]", "coarse_category": ["Embarrassment"], "fine_description": "A deep sense of embarrassment and self-consciousness regarding her appearance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes wide, eyebrow raised (fixed state), mouth slightly open.", "body_language": "Leans back slightly, hands raised to chest level.", "vocal_cues": "Faster speech rate, higher pitch.", "verbal_content": "I don't know, maybe I should just keep it like this. It seems to make other people happy."}}} {"unique_id": "nJwGWiuonws_T1_2_0", "video_id": "nJwGWiuonws", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Coat Male - Doctor(Maccabee)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Coat Male - Doctor(Maccabee)]. During a medical exam, when the doctor releases the patient's eyebrow and it snaps back to the hairline, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Coat Male - Doctor(Maccabee)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Coat Male - Doctor(Maccabee)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Coat Male - Doctor(Maccabee)]", "affective_state": {"object": "[Leopard Print Female - Patient]", "coarse_category": ["Happiness"], "fine_description": "Strong amusement at the comical snap of her eyebrow.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Broad open grin, raised eyebrows.", "body_language": "Stands facing her holding the folder, gestures toward her brow as he talks.", "vocal_cues": "Amused, exclamatory tone with light laughter.", "verbal_content": "Oh my God, what wow, that just really right up there, that was high"}}} {"unique_id": "nLDgcHxJ4Sc_T1_1_0", "video_id": "nLDgcHxJ4Sc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Brown Male - Suitor(Laurie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Brown Male - Suitor(Laurie)]. When the suitor attempts to propose to his best friend while she tries to stop him, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Brown Male - Suitor(Laurie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Brown Male - Suitor(Laurie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Brown Male - Suitor(Laurie)]", "affective_state": {"object": "[Long Hair Female - Writer(Jo)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A crushing sense of disappointment and heartbreak, mixed with frustration at her stubbornness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes become sharp and intense, completely devoid of a smile.", "body_language": "Removes his hands from her face, turns away to look down alone, and pushes her away when she tries to explain."}}} {"unique_id": "nLDgcHxJ4Sc_T1_2_1", "video_id": "nLDgcHxJ4Sc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long Hair Female - Writer(Jo)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Hair Female - Writer(Jo)]. By a wooden fence in the woods, when the suitor attempts to kiss her and initiate a proposal, based on the subject's observed facial expression, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Hair Female - Writer(Jo)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Hair Female - Writer(Jo)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Hair Female - Writer(Jo)]", "affective_state": {"object": "[Curly Brown Male - Suitor(Laurie)]", "coarse_category": ["Fear", "Happiness"], "fine_description": "A conflict between the warmth of the moment and the anxiety of the necessary confrontation.", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Serious expression.", "body_language": "Pushes the man away to stop the kiss, looks up slightly, gazing at him with a hint of timidity.", "verbal_content": "No Teddy Teddy don't... we have to talk about this reasonably."}}} {"unique_id": "nNKsj8rQGHc_T1_1_0", "video_id": "nNKsj8rQGHc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Official(Geraldine)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Official(Geraldine)]. When Harry confronts her in her home, revealing a vial of poison and informing her that he has already administered it to her via her meal hours ago, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Official(Geraldine)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Official(Geraldine)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Official(Geraldine)]", "affective_state": {"object": "[Bald Male - Agent(Harry)]", "coarse_category": ["Fear", "Sadness"], "fine_description": "A crushing mix of terror regarding her impending death and profound grief over the end of her life.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Dilated pupils, trembling lips, eyes rapidly reddening and filling with tears, brows furrowed in extreme sorrow and fear.", "body_language": "Body tenses, leans forward with arms lowered and head bowed.", "vocal_cues": "Trembling voice, broken speech pattern due to emotional agitation.", "verbal_content": "Tell me you're lying, Harry. Please."}}} {"unique_id": "nOQCz7STLIY_T1_1_0", "video_id": "nOQCz7STLIY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown-haired Boy - Student(Bryce)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown-haired Boy - Student(Bryce)]. When the friend mocks the girl's family and questions his taste, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown-haired Boy - Student(Bryce)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown-haired Boy - Student(Bryce)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown-haired Boy - Student(Bryce)]", "affective_state": {"object": "[Long-haired Girl - Student(Julie)]", "coarse_category": ["Anxiety"], "fine_description": "A mix of confusion, anxiety, and guilt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, shifting eyes, mouth slightly open, expression of confusion, stiff smile.", "body_language": "Leaning forward, slight hand movements, displaying internal unease.", "vocal_cues": "Speaking slightly fast, tone tinged with anxiety.", "verbal_content": "I can't stop thinking about her. What do I do?"}}} {"unique_id": "nQ2Y1gm0fRU_T1_1_1", "video_id": "nQ2Y1gm0fRU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Student(Vee)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Student(Vee)]. During the indoor party, when the Brunette Female addresses the subject in front of the crowd, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Student(Vee)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Student(Vee)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Student(Vee)]", "affective_state": {"object": "[Brunette Female - Student(Sydney)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "A painful mix of heartbreak over the betrayal and rising anger driving her to defend herself.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, trembling lips, tense facial muscles.", "body_language": "Standing tall, gaze locked intensely on the other person.", "vocal_cues": "Fast pace but clear articulation, cold tone.", "verbal_content": "You're one of those girls who peaks in high school. Sign up and watch me."}}} {"unique_id": "nQ2Y1gm0fRU_T1_2_0", "video_id": "nQ2Y1gm0fRU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Brunette Female - Student(Sydney)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brunette Female - Student(Sydney)]. When the Blonde Female performs well in the game and garners significant attention, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brunette Female - Student(Sydney)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brunette Female - Student(Sydney)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brunette Female - Student(Sydney)]", "affective_state": {"object": "[Blonde Female - Student(Vee)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Intense jealousy mixed with resentment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Raised eyebrows, sneering mouth.", "body_language": "Leaning forward, exaggerated gestures, actively encroaching on the other's space.", "vocal_cues": "High pitch, sharp tone, dripping with sarcasm.", "verbal_content": "The only fun thing about you is your brother. You'll never be a player."}}} {"unique_id": "njfu6wuNC_w_T1_1_0", "video_id": "njfu6wuNC_w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Friend(Meg)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Friend(Meg)]. Outdoors at night, when the man implies he is having an affair with her best friend, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Friend(Meg)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Friend(Meg)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Friend(Meg)]", "affective_state": {"object": "[Black Male - Stranger(Colin)]", "coarse_category": ["Surprise", "Anger"], "fine_description": "A state of shock mixed with a stinging sense of betrayal and hurt pride.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open, staring at the man, faint smile of disbelief", "body_language": "Head leaning forward slightly, urgently seeking confirmation", "vocal_cues": "Accelerated speaking rate, raised pitch, tone of questioning and defensiveness", "verbal_content": "Are you serious? You two are having an affair? I can't believe she didn't tell me."}}} {"unique_id": "nkUW8cR67Qw_T1_1_0", "video_id": "nkUW8cR67Qw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Brown Hair Female - Patient(Emma)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Brown Hair Female - Patient(Emma)]. On the rooftop, when she informs the male about her decision to move to Seattle, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Brown Hair Female - Patient(Emma)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Brown Hair Female - Patient(Emma)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Brown Hair Female - Patient(Emma)]", "affective_state": {"object": "[Short Hair Male - Boyfriend(Dylan)]", "coarse_category": ["Guilt"], "fine_description": "A sense of guilt mixed with anxious hesitation about his reaction.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes slightly pleading, corners of mouth slightly down, brows furrowed, showing inner struggle and uneasiness.", "body_language": "Leaning body towards him.", "vocal_cues": "Slow tempo, soft tone with hesitation, voice revealing tension.", "verbal_content": "Um, there's a hospital in Seattle. It's the best respiratory center in the country. My dad, he just wants to give me my best shot. ... kind of want to go to college. And I can do that there."}}} {"unique_id": "nkUW8cR67Qw_T1_2_1", "video_id": "nkUW8cR67Qw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Short Hair Male - Boyfriend(Dylan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Hair Male - Boyfriend(Dylan)]. On the rooftop, when the female informs him about her decision to move to Seattle, based on the subject's observed facial expressions, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Hair Male - Boyfriend(Dylan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Hair Male - Boyfriend(Dylan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Hair Male - Boyfriend(Dylan)]", "affective_state": {"object": "[Long Brown Hair Female - Patient(Emma)]", "coarse_category": ["Sadness", "Surprise"], "fine_description": "Quiet disappointment at the prospect of her moving away, after the initial surprise.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Looks at her with surprise."}}} {"unique_id": "ns3j2exbdbU_T1_1_0", "video_id": "ns3j2exbdbU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Redhead - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead - Mother]. In an autumn park, when the Blonde-Stepmom reveals she has discovered the secret plan to move to Los Angeles, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead - Mother]", "affective_state": {"object": "[Blonde - Stepmom]", "coarse_category": ["Surprise", "Fear"], "fine_description": "A flash of panic and surprise.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes wide in anger, frowning while speaking", "body_language": "Faces her squarely, holding the letters.", "vocal_cues": "Enunciating clearly, questioning tone", "verbal_content": "What the hell are you doing reading my mail and snooping around behind my back like some little dishonest...?"}}} {"unique_id": "oQIubudKQQE_T1_1_0", "video_id": "oQIubudKQQE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red Shirt Female - Izzy]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Shirt Female - Izzy]. When Marilyn discusses topics like isolation tanks and personal hygiene while the subject watches, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Shirt Female - Izzy]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Shirt Female - Izzy]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Shirt Female - Izzy]", "affective_state": {"object": "[Black Suit Female - Marilyn], [Dark Suit Male - Sam]", "coarse_category": ["Embarrassment"], "fine_description": "She feels embarrassed and uncomfortable.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes darting between her friend and Sam; awkward polite smile", "body_language": "Arms crossed"}}} {"unique_id": "oUQ9ZKUt2XQ_T1_1_1", "video_id": "oUQ9ZKUt2XQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Suit Male - Sheriff(Freddy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Suit Male - Sheriff(Freddy)]. When the Sheriff approaches the Investigator to report case progress and request support, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Suit Male - Sheriff(Freddy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Suit Male - Sheriff(Freddy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Suit Male - Sheriff(Freddy)]", "affective_state": {"object": "[Striped Shirt Male - Investigator(Moe)]", "coarse_category": ["Sadness"], "fine_description": "Deep sadness accompanied by a sense of grievance.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes dodging contact, looking down at the floor, corners of the mouth turned down.", "body_language": "Body slightly hunched, shoulders slumped, hands clasped in front.", "vocal_cues": "Low, broken tone with a slight tremble and pleading quality.", "verbal_content": "I'm being a cop now... I need you to do something."}}} {"unique_id": "oUQ9ZKUt2XQ_T1_2_0", "video_id": "oUQ9ZKUt2XQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Striped Shirt Male - Investigator(Moe)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Shirt Male - Investigator(Moe)]. While eating lunch, when the Sheriff interrupts to plead for assistance regarding the case, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Shirt Male - Investigator(Moe)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Shirt Male - Investigator(Moe)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Shirt Male - Investigator(Moe)]", "affective_state": {"object": "[Grey Suit Male - Sheriff(Freddy)]", "coarse_category": ["Anger"], "fine_description": "Explosive anger mixed with contempt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows raised, scornful look, mouth wide open as he talks at the other person.", "body_language": "Stays seated with the sandwich in hand, waves his open hand sharply at the other person, leans forward toward him.", "vocal_cues": "Volume suddenly spikes, voice becomes hoarse from shouting.", "verbal_content": "I offered you a chance to be a cop and you blew it! You blew it!"}}} {"unique_id": "oXLfst2J3dE_T1_1_1", "video_id": "oXLfst2J3dE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Curly Hair - Boyfriend(Jasper)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Curly Hair - Boyfriend(Jasper)]. In an outdoor wooded fitness area, when Jasper observes Gwen talking to Eddie, based on the subject's observed facial expressions and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Curly Hair - Boyfriend(Jasper)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Curly Hair - Boyfriend(Jasper)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Curly Hair - Boyfriend(Jasper)]", "affective_state": {"object": "[Blonde - Patient(Eddie)]", "coarse_category": ["Anger", "Surprise"], "fine_description": "Feels a sudden flash of surprise followed by territorial anger and jealousy", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Expression tightens briefly before forcing a smile", "verbal_content": "hey; i was looking for you; successfully as it turns out"}}} {"unique_id": "oXLfst2J3dE_T1_2_0", "video_id": "oXLfst2J3dE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Hair - Patient(Gwen)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Hair - Patient(Gwen)]. In the outdoor wooded fitness area, when Jasper suddenly approaches and interrupts the conversation, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Hair - Patient(Gwen)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Hair - Patient(Gwen)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Hair - Patient(Gwen)]", "affective_state": {"object": "[Brown Curly Hair - Boyfriend(Jasper)]", "coarse_category": ["Surprise", "Fear"], "fine_description": "Feels caught off guard, anxious, and awkward", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes darting, mouth slightly pursed, tense facial muscles", "vocal_cues": "(stuttering)", "verbal_content": "hey jasper what what are you doing; um uh you at your parents house"}}} {"unique_id": "oZu2JfM2Aq8_T1_1_0", "video_id": "oZu2JfM2Aq8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Protagonist(Bridget)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Protagonist(Bridget)]. When [Dark Suit Male - Lawyer(Mark)] states he is \"delighted\" after hearing about the breakup, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Protagonist(Bridget)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Protagonist(Bridget)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Protagonist(Bridget)]", "affective_state": {"object": "[Dark Suit Male - Lawyer(Mark)]", "coarse_category": ["Anger"], "fine_description": "A surge of indignation and defensive anger mixed with hurt pride.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning slightly, sharp gaze, tight corners of the mouth, tense facial muscles", "body_language": "Stops arranging clothes, stands still facing the male, uses gestures to emphasize her words", "vocal_cues": "(Questioning and dissatisfied tone) Faster speech rate, slightly higher pitch", "verbal_content": "Are you and Cosmo in cahoots? You seem to go out of your way to make me feel like a complete fool. You really needn't bother."}}} {"unique_id": "ocqy8r8rDI0_T1_1_0", "video_id": "ocqy8r8rDI0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Girlfriend]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Girlfriend]. After the boyfriend admits he has not told his mother about her, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Girlfriend]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Girlfriend]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Girlfriend]", "affective_state": {"object": "[Blue Shirt Male - Boyfriend]", "coarse_category": ["Sadness", "Anger"], "fine_description": "She feels a mix of deep disappointment, heartbreak, and disgust at the betrayal.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Closing eyes, frowning, facial distortion.", "body_language": "Continuous nodding, choking up.", "vocal_cues": "Sighing sound."}}} {"unique_id": "ocqy8r8rDI0_T1_2_1", "video_id": "ocqy8r8rDI0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blue Shirt Male - Boyfriend]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Shirt Male - Boyfriend]. In the indoor bedroom or living space, when the girlfriend confronts him about whether he has told his mother about her, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Shirt Male - Boyfriend]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Shirt Male - Boyfriend]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Shirt Male - Boyfriend]", "affective_state": {"object": "[Blonde Female - Girlfriend]", "coarse_category": ["Fear", "Guilt"], "fine_description": "He feels guilty for hiding her and afraid of the impending conflict and potential breakup.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Tightened mouth corners, frowned brows.", "body_language": "Standing still.", "vocal_cues": "Very quiet voice.", "verbal_content": "Remains silent for a long time, then answers 'No' lightly after she presses 'she doesn't know about me'."}}} {"unique_id": "onesjJyXdFQ_T1_1_0", "video_id": "onesjJyXdFQ", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[DarkSuit - Supervisor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [DarkSuit - Supervisor]. In the office, when the Supervisor warns the Assistant Manager to stop making public claims about seeing God, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [DarkSuit - Supervisor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[DarkSuit - Supervisor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[DarkSuit - Supervisor]", "affective_state": {"object": "[Glasses - AssistantManager]", "coarse_category": ["Anger"], "fine_description": "A mix of irritation, disdain, and a cold resolve to punish the employee.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "A smile appears briefly before fading into a serious expression, though the eyes remain cold. After speaking, the corners of the mouth curve into a smile again.", "vocal_cues": "Starts with a scoffing sigh, then speaks in a mocking tone, deliberately raising the pitch on the final phrase.", "verbal_content": "Well, God may have been interested in talking to you as an assistant manager. Now, we'll just see how he feels about you... as a bag stuffer."}}} {"unique_id": "op6H61wRi-Y_T1_1_0", "video_id": "op6H61wRi-Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Hair Female - Patient]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Hair Female - Patient]. When the doctor reveals unexpected blood test results informing her that she is pregnant, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Hair Female - Patient]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Hair Female - Patient]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Hair Female - Patient]", "affective_state": {"object": "[White Coat Male - Doctor]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "An initial jolt of disbelief and shock that rapidly transforms into overwhelming ecstasy and excitement.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen and brighten, eyebrows raise, mouth opens slightly in shock before curving into a wide, ecstatic smile.", "body_language": "Initially stiffens against the hospital bed, then abruptly sits up with energy.", "vocal_cues": "Tone shifts from trembling, rapid questioning to high-pitched, excited shouting.", "verbal_content": "That's impossible. I paid a man thousands of dollars to tell me that that's impossible."}}} {"unique_id": "pDj1GM3RRWs_T1_1_0", "video_id": "pDj1GM3RRWs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit Male - Son(Michael)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Son(Michael)]. When the father visits the office and attempts to share a magic trick and propose a dinner outing, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Son(Michael)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Son(Michael)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Son(Michael)]", "affective_state": {"object": "[White-haired Elderly Male - Father(Ted)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "He feels a mix of annoyance, disgust for the repetitive behavior, and anger at the interruption.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning tightly", "body_language": "Bows head to work, turns head to yell at the father, then immediately lowers head back to work", "vocal_cues": "Soft tone with a pleading nuance", "verbal_content": "Now you do the stupid trick. I've always known. Can you let me do my work?"}}} {"unique_id": "pK35em6gl0Q_T1_1_0", "video_id": "pK35em6gl0Q", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Hair - Young Hitman]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Hair - Young Hitman]. In the bank lobby, when the veteran demands he remove his sunglasses, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Hair - Young Hitman]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Hair - Young Hitman]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Hair - Young Hitman]", "affective_state": {"object": "[Suit - Veteran]", "coarse_category": ["Happiness", "Disgust"], "fine_description": "A feeling of scornful amusement and superiority.", "polarity": "Mixed", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Stares at the veteran while grinning and showing teeth.", "body_language": "Raises hands and shakes them in a theatrical display of mock fear, then abruptly drops the act to face the man composedly.", "vocal_cues": "Mocking tone with a scoff.", "verbal_content": "Between you and me, I'm nervous."}}} {"unique_id": "pQyBKv0RQ2g_T1_1_1", "video_id": "pQyBKv0RQ2g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Blue Coat Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Blue Coat Female - Mother]. When the Mother visits the Daughter to confess a family secret and the Daughter refuses to engage in the conversation, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Blue Coat Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Blue Coat Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Blue Coat Female - Mother]", "affective_state": {"object": "[Blue Cardigan Female - Daughter]", "coarse_category": ["Sadness"], "fine_description": "Deep guilt and sorrow.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, trembling lips, eyes showing pain and pleading.", "body_language": "Leans forward slightly, trying to get closer to the Daughter, but movements are stiff.", "vocal_cues": "Voice slightly trembling, slow tempo, low pitch.", "verbal_content": "I wasn't strong enough to stand up to her. She took Peter away from me."}}} {"unique_id": "pQyBKv0RQ2g_T1_2_0", "video_id": "pQyBKv0RQ2g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blue Cardigan Female - Daughter]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Cardigan Female - Daughter]. When the Mother visits to confess a family secret regarding their relationship, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Cardigan Female - Daughter]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Cardigan Female - Daughter]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Cardigan Female - Daughter]", "affective_state": {"object": "[Dark Blue Coat Female - Mother]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Anger mixed with disgust at the deception.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, sharp and aggressive eyes, corners of mouth accompanied by a sneer.", "body_language": "Stands straight, arms hanging naturally but stiff, presenting a posture of resistance.", "vocal_cues": "Tone is cold, short, and carries strong sarcasm.", "verbal_content": "I don't believe that Mom or Grandma... whatever the hell I'm supposed to call her now."}}} {"unique_id": "pZauSPAD1_g_T1_1_1", "video_id": "pZauSPAD1_g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses Male - Professor(Sherman)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses Male - Professor(Sherman)]. At the outdoor wedding venue, when Sherman attempts to leave the party but Carla confronts him, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses Male - Professor(Sherman)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses Male - Professor(Sherman)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses Male - Professor(Sherman)]", "affective_state": {"object": "[Short Hair Female - Date(Carla)]", "coarse_category": ["Sadness"], "fine_description": "Deep shame mixed with vulnerability and self-deprecation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes downcast avoiding direct contact, brows slightly furrowed, corners of mouth turned down, heavy facial expression.", "body_language": "Shoulders slightly slumped, posture appears shrinking/withdrawn, sighing heavily while speaking.", "vocal_cues": "Tone is low and slow, carrying a distinct sense of depression and self-mockery.", "verbal_content": "I didn't think you'd have me. The fact of the matter is I'm a big man."}}} {"unique_id": "pZauSPAD1_g_T1_2_0", "video_id": "pZauSPAD1_g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Glasses Male - Professor(Sherman)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses Male - Professor(Sherman)]. At the outdoor wedding venue, when Carla invites him to dance in front of the crowd, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses Male - Professor(Sherman)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses Male - Professor(Sherman)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses Male - Professor(Sherman)]", "affective_state": {"object": "[Short Hair Female - Date(Carla)]", "coarse_category": ["Happiness"], "fine_description": "Extreme excitement, exhilaration, and confidence.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Bright smile, eyes crinkled in crescent shapes, showing teeth, face radiating high spirits.", "body_language": "Movements are powerful and light, spinning and jumping flexibly on the dance floor, performing exaggerated and confident dance moves.", "vocal_cues": "Hearty laughter, tone filled with cheer and pride.", "verbal_content": "None."}}} {"unique_id": "psEglVHxbCA_T1_1_0", "video_id": "psEglVHxbCA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Date(Kate)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Date(Kate)]. When Tom reveals he does not own a mobile phone, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Date(Kate)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Date(Kate)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Date(Kate)]", "affective_state": {"object": "[Beige Coat Male - Date(Tom)]", "coarse_category": ["Surprise", "Frustration"], "fine_description": "A mix of shock and exasperated disbelief at the absurdity of the situation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning, mouth slightly open in disbelief.", "body_language": "Turns body away momentarily then back, spreads hands in a gesture of confusion, shakes head slightly.", "vocal_cues": "Rising pitch, agitated tone (Exasperation).", "verbal_content": "Oh my god I was just beginning to think you're not as weird as you look."}}} {"unique_id": "q2YwvMc96VY_T1_1_1", "video_id": "q2YwvMc96VY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short Brown Hair Male - Student(Patrick)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Brown Hair Male - Student(Patrick)]. In the intimate setting, when Mary rejects him, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Brown Hair Male - Student(Patrick)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Brown Hair Male - Student(Patrick)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Brown Hair Male - Student(Patrick)]", "affective_state": {"object": "[Long Hair Female - Student(Mary)]", "coarse_category": ["Sadness", "Embarrassment"], "fine_description": "A mix of heartbreak, confusion, and deep embarrassment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes downcast, corners of mouth slightly down, brows furrowed, stiff expression.", "body_language": "Leans forward slightly, approaching her, but movement is stiff.", "vocal_cues": "Slow tempo, low volume, slight tremble (tone).", "verbal_content": "Why? Why not?"}}} {"unique_id": "q2YwvMc96VY_T1_2_0", "video_id": "q2YwvMc96VY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long Hair Female - Student(Mary)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Hair Female - Student(Mary)]. In the photo booth setting, when a loud noise interrupts just as Patrick is about to kiss her, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Hair Female - Student(Mary)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Hair Female - Student(Mary)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Hair Female - Student(Mary)]", "affective_state": {"object": "[Short Brown Hair Male - Student(Patrick)]", "coarse_category": ["Fear", "Surprise"], "fine_description": "Sudden panic and deep physiological discomfort.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes shifting, avoids direct contact, slight frown, stiff facial muscles.", "body_language": "Jumps violently, quickly distances herself from him.", "vocal_cues": "Fast tempo, slightly high volume (tone).", "verbal_content": "Oh my god! I... this is a bad idea. I... you're not my type, Patrick."}}} {"unique_id": "qcpHK7K58JU_T1_1_0", "video_id": "qcpHK7K58JU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Black Male - Father(Woody)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Black Male - Father(Woody)]. In the bedroom, when he enters to persuade his daughter to attend the funeral, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Black Male - Father(Woody)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Black Male - Father(Woody)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Black Male - Father(Woody)]", "affective_state": {"object": "[Deceased Female - Mother(Carolyn)]", "coarse_category": ["Sadness"], "fine_description": "Deep sorrow and heartbreak over his wife's death.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes cast down, reddened rims, lips pressed tight", "body_language": "Walks over to the daughter and holds her", "vocal_cues": "Weak, trembling voice with a tearful tone", "verbal_content": "You want to make mommy happy don't you? Ain't no use I'm trying right now."}}} {"unique_id": "qnFWCagTOtw_T1_1_0", "video_id": "qnFWCagTOtw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Floral Top - Mother(Mrs. Taylor)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Floral Top - Mother(Mrs. Taylor)]. In the living room, when the Bride enters to confirm a dress fitting, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Floral Top - Mother(Mrs. Taylor)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Floral Top - Mother(Mrs. Taylor)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Floral Top - Mother(Mrs. Taylor)]", "affective_state": {"object": "[Black Jacket - Bride(Sabrina)]", "coarse_category": ["Anger", "Surprise"], "fine_description": "Surprise mixed with dissatisfaction and grievance.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Frowning, dissatisfied gaze.", "body_language": "Turns head slightly towards the Bride.", "vocal_cues": "Rising pitch with a questioning and complaining tone.", "verbal_content": "Fitting?"}}} {"unique_id": "qp-Jr4oEFWo_T1_1_1", "video_id": "qp-Jr4oEFWo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother(Rose Mary)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother(Rose Mary)]. When she approaches [Dark Haired Female - Daughter(Jeannette)] to request a loan, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother(Rose Mary)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother(Rose Mary)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother(Rose Mary)]", "affective_state": {"object": "[Dark Haired Female - Daughter(Jeannette)]", "coarse_category": ["Anxiety"], "fine_description": "A sense of humble pleading mixed with deep anxiety and desperation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slightly furrowed brows, shifting eyes, downturned mouth corners, forced smile.", "body_language": "Hands gripping backpack straps tightly, body leaning slightly forward, tense and pleading posture.", "vocal_cues": "Slightly fast pace, rising pitch, trembling tone indicating pleading.", "verbal_content": "You know how I was telling you about my brother selling his half of Mom's land in Texas? Well, now that you're getting married and you have all these nice things, we were thinking that maybe we could borrow the money to buy it."}}} {"unique_id": "qp-Jr4oEFWo_T1_2_0", "video_id": "qp-Jr4oEFWo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Haired Female - Daughter(Jeannette)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Haired Female - Daughter(Jeannette)]. In the dimly lit indoor corridor, when she questions the motive behind [Blonde Female - Mother(Rose Mary)]'s request, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Haired Female - Daughter(Jeannette)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Haired Female - Daughter(Jeannette)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Haired Female - Daughter(Jeannette)]", "affective_state": {"object": "[Blonde Female - Mother(Rose Mary)]", "coarse_category": ["Disgust"], "fine_description": "Extreme disgust and cold contempt for the manipulation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Raised eyebrows, slight frown, sharp gaze, pursed lips.", "body_language": "Stands upright and still, facing her mother.", "vocal_cues": "Calm but sarcastic tone, steady and articulate.", "verbal_content": "So the only reason why you're being nice to David is because you want his money?"}}} {"unique_id": "r1CpvYqEUZY_T1_1_0", "video_id": "r1CpvYqEUZY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Male - Husband(Tom)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Husband(Tom)]. During a phone call, when the wife tells him she does not want him to come home and reveals she has formed a connection with another man, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Husband(Tom)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Husband(Tom)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Husband(Tom)]", "affective_state": {"object": "[Blonde Curly Female - Wife(Sally)]", "coarse_category": ["Sadness", "Guilt"], "fine_description": "He feels a deep sense of guilt, regret, and powerlessness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes closed tightly", "body_language": "Slumps in chair, left hand repeatedly rubbing hair", "vocal_cues": "Weak tone, muttering to self", "verbal_content": "Silence for a long time, then says 'Oh, Sally'."}}} {"unique_id": "r1CpvYqEUZY_T1_2_1", "video_id": "r1CpvYqEUZY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Male - Husband(Tom)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Husband(Tom)]. After learning over the phone that his wife's affair partner is Jack Cleveland, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Husband(Tom)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Husband(Tom)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Husband(Tom)]", "affective_state": {"object": "[Blonde Curly Female - Wife(Sally)]", "coarse_category": ["Anger"], "fine_description": "He feels extreme pain, despair, and agitated anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"body_language": "Rubs forehead and hair, suddenly stands up and paces around the room", "vocal_cues": "Harsh, agitated, loud shouting", "verbal_content": "Oh no, Jesus, Sally. Jack Cleveland? You mean that aging prophet's hippie from the hospital who still rides a motorcycle? Oh for Christ's sake, Sally. Why him? Why him?"}}} {"unique_id": "rA69NDoXRhI_T1_1_0", "video_id": "rA69NDoXRhI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray-haired Male - Agent(Evan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray-haired Male - Agent(Evan)]. When the agent confesses to his assistant that he is suffering from progressive brain atrophy and explains why he must act immediately, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray-haired Male - Agent(Evan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray-haired Male - Agent(Evan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray-haired Male - Agent(Evan)]", "affective_state": {"object": "[Young Male - Assistant(Milton)]", "coarse_category": ["Anger", "Sadness"], "fine_description": "A feeling of extreme anger and despair over his helplessness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, red eyes, tense facial muscles, expression of pain and urgency.", "body_language": "Hand on forehead, leaning forward, pointing and spreading his arms, showing mental pressure.", "vocal_cues": "Accelerated tempo, rising pitch, choking up with suppressed tremors.", "verbal_content": "Everything up here rotting bit by bit, it slips away... Why me? I didn't do anything wrong."}}} {"unique_id": "rA69NDoXRhI_T1_2_1", "video_id": "rA69NDoXRhI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Young Male - Assistant(Milton)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Young Male - Assistant(Milton)]. While listening to the agent's confession and reviewing medical books, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Young Male - Assistant(Milton)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Young Male - Assistant(Milton)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Young Male - Assistant(Milton)]", "affective_state": {"object": "[Gray-haired Male - Agent(Evan)]", "coarse_category": ["Sadness", "Surprise"], "fine_description": "Shock and sadness at the diagnosis, mixed with disapproval of the agent's plan.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight frown, corners of mouth turned down, sad eyes.", "body_language": "Leaning towards the agent, showing a caring posture.", "vocal_cues": "Significantly slowed tempo, reduced volume.", "verbal_content": "Evan, you still have time left. Make the most of it."}}} {"unique_id": "rDnazOBaF1U_T1_1_0", "video_id": "rDnazOBaF1U", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Shirt - Christian]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Shirt - Christian]. When Anastasia distances herself physically and states she cannot provide the obedience he needs, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Shirt - Christian]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Shirt - Christian]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Shirt - Christian]", "affective_state": {"object": "[Long Brown Hair - Anastasia]", "coarse_category": ["Fear"], "fine_description": "Intense fear of abandonment and desperation to prevent her from leaving.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Serious, desperate expression", "body_language": "Shaking head", "vocal_cues": "Urgent pleading tone, soft voice", "verbal_content": "Please don't do that. Don't give up on me. Don't leave me."}}} {"unique_id": "rFim4AcaAaU_T1_1_0", "video_id": "rFim4AcaAaU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Jacket Male - Son-in-law]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Jacket Male - Son-in-law]. In the modern dining room, when the parents discuss food preparation and laugh at their own comments, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Jacket Male - Son-in-law]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Jacket Male - Son-in-law]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Jacket Male - Son-in-law]", "affective_state": {"object": "[Dark Suit Male - Father], [Light Coat Female - Mother]", "coarse_category": ["Disgust"], "fine_description": "A feeling of annoyance and repulsion towards the parents' passive-aggressive behavior.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowns slightly, then forces a brief smile.", "body_language": "Exchanges a glance with his wife, then looks down."}}} {"unique_id": "rGtJbW9sRbo_T1_1_1", "video_id": "rGtJbW9sRbo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Writer(Mary)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Writer(Mary)]. During the lunch meeting with her publisher to discuss the manuscript of her latest novel, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Writer(Mary)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Writer(Mary)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Writer(Mary)]", "affective_state": {"object": "[Redhead Female - Publisher]", "coarse_category": ["Surprise", "Sadness"], "fine_description": "She experiences surprise, sadness, grievance, and disappointment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes flickering, lips slightly pursed, expression shifting from a smile to confusion and disappointment", "body_language": "Hands crossed", "vocal_cues": "Questioning tone", "verbal_content": "You mean you don't love it"}}} {"unique_id": "rGtJbW9sRbo_T1_2_0", "video_id": "rGtJbW9sRbo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Redhead Female - Publisher]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Redhead Female - Publisher]. In the upscale restaurant dining area, when Mary threatens to take her business elsewhere, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Redhead Female - Publisher]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Redhead Female - Publisher]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Redhead Female - Publisher]", "affective_state": {"object": "[Blonde Female - Writer(Mary)]", "coarse_category": ["Anger"], "fine_description": "She experiences feelings of irritation and contempt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, sharp gaze, downturned mouth corners, showing impatience and judgment", "body_language": "Leaning forward, gesturing for emphasis, tapping finger on the table to strengthen tone", "vocal_cues": "Sarcastic tone", "verbal_content": "go get a facial is there something wrong"}}} {"unique_id": "rNP5uIQxAfY_T1_1_1", "video_id": "rNP5uIQxAfY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark-Haired Male - Boy]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-Haired Male - Boy]. In the kitchen, when [Long-Haired Female - Lizzie] confronts him about sneaking into the garden at night, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-Haired Male - Boy]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-Haired Male - Boy]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-Haired Male - Boy]", "affective_state": {"object": "[Long-Haired Female - Lizzie]", "coarse_category": ["Fear", "Disgust"], "fine_description": "Defensive anxiety mixed with annoyance at her prying.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Blinks rapidly, looks at the girl with impatience", "body_language": "Turns head away, avoiding direct eye contact", "vocal_cues": "Low tone, slightly aggressive but restrained", "verbal_content": "You haven't said anything to Sowerby, have you?"}}} {"unique_id": "rNP5uIQxAfY_T1_2_0", "video_id": "rNP5uIQxAfY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark-Haired Male - Boy]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-Haired Male - Boy]. In the kitchen, when [Long-Haired Female - Lizzie] makes a comment about reading poetry to the fire, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-Haired Male - Boy]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-Haired Male - Boy]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-Haired Male - Boy]", "affective_state": {"object": "[Long-Haired Female - Lizzie]", "coarse_category": ["Disgust"], "fine_description": "Annoyance and defensive pride.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"body_language": "Throws the basket heavily to the ground, tosses firewood roughly", "vocal_cues": "Sarcastic, dismissive, and impatient tone", "verbal_content": "...done to the English language."}}} {"unique_id": "rQWpTKfljVg_T1_1_0", "video_id": "rQWpTKfljVg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark-Haired Female with Glasses - Employee(Enid)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-Haired Female with Glasses - Employee(Enid)]. At the movie theater concession stand, while serving a customer popcorn in front of the manager, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-Haired Female with Glasses - Employee(Enid)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-Haired Female with Glasses - Employee(Enid)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-Haired Female with Glasses - Employee(Enid)]", "affective_state": {"object": "[Blonde Male - Manager(Doug)]", "coarse_category": ["Disgust"], "fine_description": "A mix of cynical contempt for the corporate standards and physical disgust toward the 'sludge'.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Deadpan stare with a hint of irony, slight downturn of the mouth, cold expression; looks down with a dismissive smirk when scolded.", "body_language": "Pumps the butter mechanically and lazily; maintains a stiff, defensive posture when reprimanded.", "vocal_cues": "Flat, dry tone with a sarcastic drawl.", "verbal_content": "Smothered in delicious yellow chemical sludge."}}} {"unique_id": "rQWpTKfljVg_T1_2_1", "video_id": "rQWpTKfljVg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Male - Manager(Doug)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Male - Manager(Doug)]. At the movie theater concession stand, when he observes the new employee insulting the popcorn butter to a customer instead of following the sales script, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Male - Manager(Doug)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Male - Manager(Doug)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Male - Manager(Doug)]", "affective_state": {"object": "[Dark-Haired Female with Glasses - Employee(Enid)]", "coarse_category": ["Anger"], "fine_description": "Sharp frustration and anger directed at her incompetence and attitude.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp glare, tight lips, tense facial muscles.", "body_language": "Leans forward aggressively, invading her space; uses hand gestures to emphasize his reprimand.", "vocal_cues": "Accelerated tempo, raised volume, scolding and incredulous tone.", "verbal_content": "What the hell is wrong with you? ... Well, lose it. And why aren't you pushing the larger sizes?"}}} {"unique_id": "rbXEZz5idLo_T1_1_1", "video_id": "rbXEZz5idLo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Shirt Male - Owner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Male - Owner]. During the dispute with the cleaner, after a crew member interrupts to announce the yacht is ready for departure, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Male - Owner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Male - Owner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Male - Owner]", "affective_state": {"object": "[Blonde Female - Cleaner]", "coarse_category": ["Disgust"], "fine_description": "Feels a sense of superior dismissal and amusement.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mocking smile, dismissive eyes, slightly exaggerated farewell expression.", "body_language": "Relaxed posture leaning on the railing, waving hand in a theatrical goodbye gesture.", "vocal_cues": "Cheerfully sarcastic, light, mocking tone intended to provoke.", "verbal_content": "Great! Push off, the Pacific awaits! Goodbye Kate."}}} {"unique_id": "rbXEZz5idLo_T1_2_0", "video_id": "rbXEZz5idLo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Cleaner]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Cleaner]. When the owner dismisses her claims and refuses to compensate her labor, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Cleaner]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Cleaner]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Cleaner]", "affective_state": {"object": "[White Shirt Male - Owner]", "coarse_category": ["Anger"], "fine_description": "Feels intense fury and indignation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widened, lips tight then opening, facial muscles tensed", "body_language": "Pointing at the company logo on chest, leaning aggressively towards the owner, sharp gestures", "vocal_cues": "(Sarcastic and angry tone) Accelerated speech rate, raised volume", "verbal_content": "Dude, you have a toilet in there that costs more than I make in a year. You hired me to do a job, I did it, you're paying me."}}} {"unique_id": "reTHiReUNo4_T1_1_0", "video_id": "reTHiReUNo4", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Suit Male - Supervisor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Suit Male - Supervisor]. When the supervisor interrupts the meeting to subject the newcomer to an aggressive hypothetical test, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Suit Male - Supervisor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Suit Male - Supervisor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Suit Male - Supervisor]", "affective_state": {"object": "[Dark Grey Suit Male - New Employee]", "coarse_category": ["Surprise", "Happiness"], "fine_description": "A feeling of pleasant surprise and approval regarding the employee's attitude.", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Mouth opens in a smile/laugh, glances sideways at colleagues to share the reaction.", "vocal_cues": "Amused, approving tone.", "verbal_content": "You'll go far. Well, fuck off."}}} {"unique_id": "rj21NdUuK5w_T1_1_0", "video_id": "rj21NdUuK5w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Floral Robe Female - Host]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Floral Robe Female - Host]. During the gathering, when the visiting neighbor reveals his intention to buy the property, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Floral Robe Female - Host]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Floral Robe Female - Host]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Floral Robe Female - Host]", "affective_state": {"object": "[Cowboy Hat Male - Neighbor]", "coarse_category": ["Surprise"], "fine_description": "A sudden state of shock and confusion.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Looks at the neighbor with a confused gaze.", "body_language": "Turns head to look at her husband, keeps hands clasped in front of her chest, and tilts head slightly back in bewilderment."}}} {"unique_id": "rj21NdUuK5w_T1_2_1", "video_id": "rj21NdUuK5w", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Cowboy Hat Male - Neighbor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Cowboy Hat Male - Neighbor]. When the neighbors enter the home and the hosts offer hospitality and snacks, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Cowboy Hat Male - Neighbor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Cowboy Hat Male - Neighbor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Cowboy Hat Male - Neighbor]", "affective_state": {"object": "[Dark Floral Robe Female - Host]", "coarse_category": ["Embarrassment"], "fine_description": "A feeling of awkwardness and hesitation.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Smiles awkwardly.", "body_language": "Looks down as the smile fades, then puts hands in pockets to assume a more serious posture.", "vocal_cues": "(Awkward laugh)", "verbal_content": "No, listen, we're interested in buying your property."}}} {"unique_id": "rlAbxl3Ksks_T1_1_0", "video_id": "rlAbxl3Ksks", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Male - Son(Nick)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Male - Son(Nick)]. During the meeting in the restaurant booth, when Nick asks about the family, based on the subject's observed facial expressions, body language, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Male - Son(Nick)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Male - Son(Nick)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Male - Son(Nick)]", "affective_state": {"object": "[Grey Hair Male - Father(David)]", "coarse_category": ["Frustration", "Anxiety"], "fine_description": "A gnawing sense of impatience and anxiety.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling", "body_language": "Touching eyebrows", "verbal_content": "How's Karen and the kids?"}}} {"unique_id": "royuCXeS8go_T1_1_0", "video_id": "royuCXeS8go", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit Male - Executive(Bob)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Executive(Bob)]. During a corporate interview, when the Reporter interrupts the Executive's speech to ask a question about financial ethics, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Executive(Bob)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Executive(Bob)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Executive(Bob)]", "affective_state": {"object": "[Blonde Female - Reporter]", "coarse_category": ["Surprise"], "fine_description": "He feels caught off guard and slightly panicked.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Looks away to the side", "body_language": "Sits in chair, leans forward then back", "vocal_cues": "Faster pace", "verbal_content": "Well, great question. Tough but fair. I guess I would say that what I love about Freedom Atlantic is that we're not like other insurance companies."}}} {"unique_id": "royuCXeS8go_T1_2_1", "video_id": "royuCXeS8go", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Reporter]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Reporter]. During a corporate interview, when the Reporter interrupts the Executive's speech to ask a question about financial ethics and risk management, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Reporter]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Reporter]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Reporter]", "affective_state": {"object": "[Black Suit Male - Executive(Bob)]", "coarse_category": ["Neutral"], "fine_description": "She feels focused and serious.", "polarity": "Neutral", "intensity": "None"}, "affective_manifestation": {"facial_expression": "Smiles, then the smile fades", "body_language": "Looks at papers on the table, then up at the man", "vocal_cues": "Tone slightly questioning", "verbal_content": "Mr. Callahan, how do you respond to the idea that your industry uses captive insurance to move risk off balance sheets?"}}} {"unique_id": "rrMvGHoW7aw_T1_1_2", "video_id": "rrMvGHoW7aw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Middle-aged Female - Mother(Debbie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Middle-aged Female - Mother(Debbie)]. When she announces a strict new lifestyle plan involving dietary changes and a total ban on Wi-Fi, based on the subject's observed facial expressions, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Middle-aged Female - Mother(Debbie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Middle-aged Female - Mother(Debbie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Middle-aged Female - Mother(Debbie)]", "affective_state": {"object": "[Dark Curly-haired Teen Female - Daughter(Sadie)]", "coarse_category": ["Frustration"], "fine_description": "Exasperation at her carefully planned fresh start being picked apart at her own table, with hurt underneath.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows raised and drawn together in an earnest, exasperated look as she explains.", "body_language": "Gestures with an open hand while explaining, leaning slightly toward Sadie at the table.", "vocal_cues": "Slowed speech rate, attempting to use a steady, reasoning tone to cover rising irritation.", "verbal_content": "No Wi-Fi. You don't spend enough time with the family when you're constantly on your iPhone and your computer."}}} {"unique_id": "rrMvGHoW7aw_T1_2_0", "video_id": "rrMvGHoW7aw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Curly-haired Teen Female - Daughter(Sadie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Curly-haired Teen Female - Daughter(Sadie)]. When the parents formally announce the removal of the home Wi-Fi and confiscation of iPhones, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Curly-haired Teen Female - Daughter(Sadie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Curly-haired Teen Female - Daughter(Sadie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Curly-haired Teen Female - Daughter(Sadie)]", "affective_state": {"object": "[Blonde Middle-aged Female - Mother(Debbie)]", "coarse_category": ["Anger"], "fine_description": "Intense outrage and disbelief at the severity of the punishment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide, eyebrows raised, mouth open in disbelief/shouting.", "body_language": "Leans forward toward her parents, head jutting, confrontational posture.", "vocal_cues": "Fast tempo, increased volume, aggressive and incredulous tone.", "verbal_content": "You can't do this. You can't take away the wifi."}}} {"unique_id": "rrMvGHoW7aw_T1_3_1", "video_id": "rrMvGHoW7aw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Blonde Middle-aged Female - Mother(Debbie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Middle-aged Female - Mother(Debbie)]. At the outdoor patio dining table, when the attempt at a constructive family meeting has collapsed, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Middle-aged Female - Mother(Debbie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Middle-aged Female - Mother(Debbie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Middle-aged Female - Mother(Debbie)]", "affective_state": {"object": "[Dark Curly-haired Teen Female - Daughter(Sadie)]", "coarse_category": ["Sadness"], "fine_description": "A deep sense of defeat and disillusionment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sighs visibly.", "body_language": "Shoulders slump, slight shrug of resignation.", "vocal_cues": "Low pitch, weak tone, sounding defeated.", "verbal_content": "This isn't turning out the way I wanted it to... I know. She's tough."}}} {"unique_id": "rweWF2wA2eY_T1_1_0", "video_id": "rweWF2wA2eY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red Shirt Male - Manager(Bobby)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Shirt Male - Manager(Bobby)]. On the motel balcony, when the manager confronts the mother about the children entering the restricted utility room, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Shirt Male - Manager(Bobby)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Shirt Male - Manager(Bobby)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Shirt Male - Manager(Bobby)]", "affective_state": {"object": "[Blue Hair Female - Mother(Halley)]", "coarse_category": ["Anger"], "fine_description": "Anger mixed with exasperation", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp gaze, tensed facial muscles, lips pressed tight before speaking", "body_language": "Stands close in front of her at the doorway, mostly still, with small hand gestures", "vocal_cues": "Accelerated tempo, raised volume, accusatory and demanding tone (frustrated)", "verbal_content": "If it happens again, you're out of here. You ain't taking responsibility."}}} {"unique_id": "rweWF2wA2eY_T1_2_1", "video_id": "rweWF2wA2eY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blue Hair Female - Mother(Halley)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Hair Female - Mother(Halley)]. On the motel balcony, while the Manager addresses her regarding her parenting, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Hair Female - Mother(Halley)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Hair Female - Mother(Halley)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Hair Female - Mother(Halley)]", "affective_state": {"object": "[Red Shirt Male - Manager(Bobby)]", "coarse_category": ["Anger"], "fine_description": "Contempt and defensive anger", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Instantly switches from coldness to an exaggerated crying face, mouth wide open in a fake wail, eyes remaining defiant", "body_language": "Leans in toward him with her head tilted in a mocking pose, then drops the act", "vocal_cues": "High-pitched, piercingly sarcastic tone with exaggerated modulation (mocking)", "verbal_content": "Oh my god, this is unacceptable! I failed as a mother!"}}} {"unique_id": "rxC2ZWU4IPo_T1_1_0", "video_id": "rxC2ZWU4IPo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long Curly Hair Bearded Fat Male - Brother(Thadeous)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Curly Hair Bearded Fat Male - Brother(Thadeous)]. In the castle cellar, when Fabius asks rhetorical questions about who is the handsomest and has the best mustache, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Curly Hair Bearded Fat Male - Brother(Thadeous)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Curly Hair Bearded Fat Male - Brother(Thadeous)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Curly Hair Bearded Fat Male - Brother(Thadeous)]", "affective_state": {"object": "[Long Curly Hair Thin Male - Brother(Fabius)]", "coarse_category": ["Happiness"], "fine_description": "He feels a surge of pride and happiness.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows relax, corners of mouth curl into a smile.", "body_language": "Strokes his own mustache, head slightly lowered but eyes looking upward.", "vocal_cues": "Rising tone.", "verbal_content": "Me."}}} {"unique_id": "rxC2ZWU4IPo_T1_2_1", "video_id": "rxC2ZWU4IPo", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long Curly Hair Thin Male - Brother(Fabius)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long Curly Hair Thin Male - Brother(Fabius)]. In the castle cellar, when Thadeous rejects the attempt to spar and insults the trophy, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long Curly Hair Thin Male - Brother(Fabius)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long Curly Hair Thin Male - Brother(Fabius)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long Curly Hair Thin Male - Brother(Fabius)]", "affective_state": {"object": "[Long Curly Hair Bearded Fat Male - Brother(Thadeous)]", "coarse_category": ["Sadness", "Anger"], "fine_description": "He feels a mix of confusion, irritation, and sadness over the rejection.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed, cheek muscles tighten causing mouth to open slightly.", "body_language": "Stares at brother, head tilts slightly to the side.", "vocal_cues": "Rising intonation indicating doubt and dissatisfaction.", "verbal_content": "What's your problem? Why are you such a sour puss?"}}} {"unique_id": "s7ougTo-pGg_T1_1_1", "video_id": "s7ougTo-pGg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Suit Male - Host]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Suit Male - Host]. At the outdoor wedding reception, when he interrupts the dining to introduce the 'Cupid Shuffle' and rallies the guests to the dance floor, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Suit Male - Host]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Suit Male - Host]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Suit Male - Host]", "affective_state": {"object": "[Guests]", "coarse_category": ["Happiness"], "fine_description": "A sense of mischievous achievement and high-energy excitement.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Bright smile, bright eyes, upturned corners of the mouth, highly infectious expression.", "body_language": "Leaning forward, arms open, demonstrating dance moves, moving with vitality.", "vocal_cues": "High pitch, fast tempo, passionate tone, distinct excitement.", "verbal_content": "I've know Sabrina you didn't want me to do the electric slide but I can do the cupid shuffle don't want to help me do the cupid shuffle come on Sabrina please can we do the cupid shuffle come on I got a little cute yourself come on let's do it"}}} {"unique_id": "s7ougTo-pGg_T1_2_0", "video_id": "s7ougTo-pGg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Dress Female - Bride]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Dress Female - Bride]. Inside the wedding tent, when the Host overrides the wedding planning instructions regarding the music, based on the subject's observed facial expressions, body language, and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Dress Female - Bride]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Dress Female - Bride]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Dress Female - Bride]", "affective_state": {"object": "[Grey Suit Male - Host]", "coarse_category": ["Happiness"], "fine_description": "Relief washing away tension, replaced by genuine delight and liberation.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Transitioning from a slightly nervous smile to open laughter, eyes crinkling, cheeks flushing.", "body_language": "Body relaxing from stiffness, beginning to sway with the music, eventually holding hands with the Groom to dance.", "vocal_cues": "Light laughter, whispering to the Groom."}}} {"unique_id": "sIwsArbH5ck_T1_1_0", "video_id": "sIwsArbH5ck", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother(Susan)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother(Susan)]. In the hospital examination room, when the neurosurgeon identifies a brain mass and requests the subject's signature for consent, based on the subject's observed facial expressions and vocal cues, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother(Susan)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother(Susan)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother(Susan)]", "affective_state": {"object": "[White Coat Male - Doctor(Dr. Daniels)]", "coarse_category": ["Fear", "Sadness"], "fine_description": "She feels a mix of extreme fear, shock, and helplessness.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, eyes filled with tears.", "vocal_cues": "Trembling voice, accelerated speech."}}} {"unique_id": "sNrOsj0xDPs_T1_1_0", "video_id": "sNrOsj0xDPs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Brown Hat Female - Cecilia]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Brown Hat Female - Cecilia]. When the manager informs her that Gil has returned to Hollywood, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Brown Hat Female - Cecilia]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Brown Hat Female - Cecilia]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Brown Hat Female - Cecilia]", "affective_state": {"object": "[Light Suit Male - Gil Shepherd]", "coarse_category": ["Sadness"], "fine_description": "Profound heartbreak, devastation, and quiet despair", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes downcast, tears welling up in eyes", "body_language": "Standing motionless, stunned stillness"}}} {"unique_id": "sigaBPwJeXg_T1_1_0", "video_id": "sigaBPwJeXg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Partner(Rachel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Partner(Rachel)]. While the couple is lying in bed discussing hypothetical scenarios for their future life together, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Partner(Rachel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Partner(Rachel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Partner(Rachel)]", "affective_state": {"object": "[Short-haired Male - Partner(Mike)]", "coarse_category": ["Happiness"], "fine_description": "A surge of happiness and affectionate warmth.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Wearing a bright smile with a relaxed, pleased expression", "body_language": "Leaning slightly forward, tapping Mike's thigh affectionately", "vocal_cues": "Lighthearted tone with affectionate teasing", "verbal_content": "Well, you catch on quickly."}}} {"unique_id": "spF8zQB-5yw_T1_1_0", "video_id": "spF8zQB-5yw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Wife]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife]. In the dimly lit living room, as the husband admits to the source of his funding, based on the subject's observed body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife]", "affective_state": {"object": "[Grey Suit Male - Husband]", "coarse_category": ["Sadness"], "fine_description": "A profound sense of disappointment and betrayal leading to sorrow.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"body_language": "Turns around, shakes head, and cries."}}} {"unique_id": "t0a3afuZ1DU_T1_1_1", "video_id": "t0a3afuZ1DU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Suit Male - Date(Otto)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Suit Male - Date(Otto)]. During a first date, when the man confesses his financial situation to his companion, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Suit Male - Date(Otto)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Suit Male - Date(Otto)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Suit Male - Date(Otto)]", "affective_state": {"object": "[White Top Female - Date(Sonya)]", "coarse_category": ["Anxiety"], "fine_description": "Anxiety mixed with vulnerability and shame", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes averting contact, facial muscles tense.", "body_language": "Leaning forward slightly, hands clasped tight, then awkwardly standing up to leave.", "vocal_cues": "Accelerated speech rate, voice slightly trembling and suppressed, tone full of apology.", "verbal_content": "I'm not in the army. I couldn't pass my physical. And if I had, then at least I'd have a job now... but I don't. And I don't know what I'm going to do."}}} {"unique_id": "t0a3afuZ1DU_T1_2_0", "video_id": "t0a3afuZ1DU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Top Female - Date(Sonya)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Top Female - Date(Sonya)]. During a first date, when the man confesses he skipped dinner so she could order freely, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Top Female - Date(Sonya)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Top Female - Date(Sonya)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Top Female - Date(Sonya)]", "affective_state": {"object": "[Dark Suit Male - Date(Otto)]", "coarse_category": ["Happiness"], "fine_description": "Deeply touched and filled with affection", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Gentle eyes, a smile forming at the corners of her mouth, gaze locked on his face.", "body_language": "Leaning forward slightly; as he tries to leave, she quickly and decisively yet gently grabs his arm.", "vocal_cues": "Soft tone with a hint of playful affection.", "verbal_content": "None."}}} {"unique_id": "tdzX5AKWiDw_T1_1_0", "video_id": "tdzX5AKWiDw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray-haired Elderly Female - Grandmother(Violet)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray-haired Elderly Female - Grandmother(Violet)]. In the drawing room, after Mary comments on her legacy, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray-haired Elderly Female - Grandmother(Violet)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray-haired Elderly Female - Grandmother(Violet)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray-haired Elderly Female - Grandmother(Violet)]", "affective_state": {"object": "[Black-haired Young Female - Granddaughter(Mary)]", "coarse_category": ["Sadness"], "fine_description": "A poignant sadness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Soft eyes, corners of the mouth slightly raised, a hint of tears but composed, expression shifting from serious to a gentle, knowing smile.", "body_language": "Standing close to Mary after being helped up, holding her gaze, then turning to walk out with her.", "vocal_cues": "Slow tempo, voice slightly trembling but firm, warm and witty tone.", "verbal_content": "I think I should prefer to rest in peace."}}} {"unique_id": "tswPOcaeEAM_T1_1_0", "video_id": "tswPOcaeEAM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue Plaid Shirt Male - Wheelchair User(Trevor)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue Plaid Shirt Male - Wheelchair User(Trevor)]. In the outdoor parking lot, when Dot announces her immediate departure for Denver, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue Plaid Shirt Male - Wheelchair User(Trevor)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue Plaid Shirt Male - Wheelchair User(Trevor)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue Plaid Shirt Male - Wheelchair User(Trevor)]", "affective_state": {"object": "[Burgundy Leather Jacket Female - Friend(Dot)]", "coarse_category": ["Sadness"], "fine_description": "A sharp pang of disappointment and sadness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Shifting gaze, corners of mouth slightly drooping, forced smile that looks strained, slight furrowing of brows.", "body_language": "Leaning forward slightly, hands gripping the wheelchair armrests, posture appears tense.", "vocal_cues": "Slowed speech rate, hesitant and placating tone, low volume.", "verbal_content": "Right now? You... you're going right now? Cool um, cool. I'm sure it'll be fine and stuff."}}} {"unique_id": "tswPOcaeEAM_T1_2_1", "video_id": "tswPOcaeEAM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Burgundy Leather Jacket Female - Friend(Dot)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Burgundy Leather Jacket Female - Friend(Dot)]. In the outdoor parking lot, when she returns to the group to announce her immediate departure for Denver, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Burgundy Leather Jacket Female - Friend(Dot)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Burgundy Leather Jacket Female - Friend(Dot)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Burgundy Leather Jacket Female - Friend(Dot)]", "affective_state": {"object": "[Blue Plaid Shirt Male - Wheelchair User(Trevor)]", "coarse_category": ["Sadness"], "fine_description": "Sympathetic sadness and guilt mixed with resolve to leave", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Eyes become deep and melancholic, smile completely vanishes.", "body_language": "Leans forward slightly, then shoulders slump; gaze lingers on him for a second before looking away.", "vocal_cues": "Voice becomes very soft, slow tempo, soothing tone.", "verbal_content": "I'm going to Denver. I just have to."}}} {"unique_id": "u3oi4L5tWQg_T1_1_0", "video_id": "u3oi4L5tWQg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Red Jacket Male - Student]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Red Jacket Male - Student]. In the school cafeteria, when the subject enters and is immediately greeted by a standing ovation from the student body, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Red Jacket Male - Student]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Red Jacket Male - Student]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Red Jacket Male - Student]", "affective_state": {"object": "[Brown Jacket Male - Student]", "coarse_category": ["Anger", "Surprise"], "fine_description": "A mix of shock at the public exposure and intense anger directed at the person responsible for the leak, accompanied by a sense of shame.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Frowning with eyebrows knit together, lips pressed tightly shut, facial muscles tensed.", "body_language": "Stands rigid in place, scanning the people in the cafeteria."}}} {"unique_id": "ucQmXLgGIVA_T1_1_1", "video_id": "ucQmXLgGIVA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male - Sailor(Antwone)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male - Sailor(Antwone)]. While waiting for his mandatory counseling session in the Navy Psychiatric Services Office, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male - Sailor(Antwone)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male - Sailor(Antwone)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male - Sailor(Antwone)]", "affective_state": {"object": "[Black Male - Commander(Davenport)]", "coarse_category": ["Anger"], "fine_description": "A defensive mix of arrogance and theatrical mockery.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Exaggerated smile, provocative gaze, highly dramatic facial expressions.", "body_language": "Abruptly stands up, waves arms broadly simulating a 'healing' gesture, paces in the hallway.", "vocal_cues": "High-pitched, inflammatory tone, fast tempo, with a distinct mocking cadence.", "verbal_content": "Do you need a healing? Some of y'all sick-ass sailors need to come back after working hours."}}} {"unique_id": "ucQmXLgGIVA_T1_2_0", "video_id": "ucQmXLgGIVA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Male - Commander(Davenport)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male - Commander(Davenport)]. In the Navy Psychiatric Services Office, when the commander confronts the sailor regarding his behavior, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male - Commander(Davenport)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male - Commander(Davenport)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male - Commander(Davenport)]", "affective_state": {"object": "[Black Male - Sailor(Antwone)]", "coarse_category": ["Anger"], "fine_description": "Intense, authoritative anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, stern eyes, tight lips, cold and severe expression.", "body_language": "Leans forward, confronts the sailor at close range, hands at sides, firm posture.", "vocal_cues": "Slow tempo but explosive power, volume suddenly increases at key moments, undeniable authoritative tone.", "verbal_content": "I tell you something, son. It may have slipped your mind, but you are addressing a superior officer. You understand me? Do you understand me?"}}} {"unique_id": "udUJzIAXChM_T1_1_0", "video_id": "udUJzIAXChM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Boss(Samantha)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Boss(Samantha)]. When [Black Suit Male - Employee(James)] resists her advances and focuses on his family, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Boss(Samantha)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Boss(Samantha)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Boss(Samantha)]", "affective_state": {"object": "[Black Suit Male - Employee(James)]", "coarse_category": ["Anger"], "fine_description": "A mix of frustration, condescension, and rising anger.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes wide open, eyebrows raised.", "body_language": "Sits close beside him, leans in and tilts her head up toward his face while he talks on the phone.", "vocal_cues": "Accelerated speech rate, increased volume.", "verbal_content": "you're a lousy human being... you are a very impressive man... you deserve better than some frumpy little housewife..."}}} {"unique_id": "v8sYtaj3k4A_T1_1_1", "video_id": "v8sYtaj3k4A", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Skinned Female - Partner(Emily)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Skinned Female - Partner(Emily)]. In the open grassy field at dusk, when she opens up about her heart condition and describes the life experiences she longs for, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Skinned Female - Partner(Emily)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Skinned Female - Partner(Emily)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Skinned Female - Partner(Emily)]", "affective_state": {"object": "[Dark Skinned Male - Partner(Ben)]", "coarse_category": ["Happiness"], "fine_description": "A mix of wistful hope and joy at being understood", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smiling, bright eyes, corners of mouth raised, relaxed expression", "body_language": "Leaning slightly forward, facing partner, slight expressive hand gestures", "vocal_cues": "Soft tone, with anticipation and warmth", "verbal_content": "did you know that great danes on average only live about seven years... they have heart issues... i think i got him because i thought he could help me with my ellis... it'd be something i could take care of as opposed to being always taken care of... you know just so you know i used to be really hot... i haven't felt like this in a really long time... there's so many things that i want to do... i want to go on a plane for 13 hours... travel go backpacking have experiences see the world... i just want to have the time to figure out who it is that i am... i'd really like to go running i think about that sometimes what it would just feel like to go running"}}} {"unique_id": "v8sYtaj3k4A_T1_2_0", "video_id": "v8sYtaj3k4A", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Skinned Male - Partner(Ben)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Skinned Male - Partner(Ben)]. In an open grassy field at dusk, when [Dark Skinned Female - Partner(Emily)] describes her heart condition and the life experiences she longs for, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Skinned Male - Partner(Ben)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Skinned Male - Partner(Ben)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Skinned Male - Partner(Ben)]", "affective_state": {"object": "[Dark Skinned Female - Partner(Emily)]", "coarse_category": ["Happiness"], "fine_description": "A profound sense of warmth and admiration", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Gentle smile, soft eyes, and a slight corner lip raise", "body_language": "Leaning forward, making slight encouraging hand gestures, and maintaining eye contact", "vocal_cues": "Low and warm tone, sounding encouraging", "verbal_content": "is that so"}}} {"unique_id": "vOJ1HPBID5A_T1_1_0", "video_id": "vOJ1HPBID5A", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Long Hair Female - Girlfriend(Tenley)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Long Hair Female - Girlfriend(Tenley)]. On a residential street at night, while she explains the complications involving another suitor to [Grey Black TShirt Male - Boyfriend(Ryan)], based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Long Hair Female - Girlfriend(Tenley)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Long Hair Female - Girlfriend(Tenley)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Long Hair Female - Girlfriend(Tenley)]", "affective_state": {"object": "[Grey Black TShirt Male - Boyfriend(Ryan)]", "coarse_category": ["Guilt", "Fear"], "fine_description": "A desperate mix of guilt for hurting him and intense fear of losing him, driving a frantic need to explain herself.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, eyes filled with pleading and pain, lips trembling.", "body_language": "Shaking head, looking up at the sky, leaning body forward and swaying, waving arms to express helplessness.", "vocal_cues": "Accelerated speech rate, rising pitch, tearful/crying tone.", "verbal_content": "I told Chris I needed to take this summer off but he's pressuring me. My father is pushing me to go to San Francisco. I just... I just wanted to do nothing for the summer."}}} {"unique_id": "vjKoaNcefSU_T1_1_0", "video_id": "vjKoaNcefSU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Sweater - Landlady]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Sweater - Landlady]. When police officers confront the landlady at the building entrance and persist in their questioning, based on the subject's observed facial expression, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Sweater - Landlady]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Sweater - Landlady]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Sweater - Landlady]", "affective_state": {"object": "[Gray Jacket - Officer]", "coarse_category": ["Anger"], "fine_description": "A surge of defensive hostility and indignation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed deeply, eyes widened in a glare.", "body_language": "Hand bracing the door frame to physically block entry; leaning neck forward aggressively while speaking.", "vocal_cues": "Raised pitch, shouting, commanding and abrasive tone.", "verbal_content": "I'll say it again, go away. Stop asking."}}} {"unique_id": "w1zHLJqTMro_T1_1_0", "video_id": "w1zHLJqTMro", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Curly Hair Black Female - Nurse]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Curly Hair Black Female - Nurse]. In the hospital corridor, when the man states that the patient 'won him in an auction', based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Curly Hair Black Female - Nurse]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Curly Hair Black Female - Nurse]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Curly Hair Black Female - Nurse]", "affective_state": {"object": "[Grey Hair Male - Man]", "coarse_category": ["Disgust"], "fine_description": "A mix of disbelief, skepticism, and mild annoyance.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Widened eyes, furrowed brows, pursed lips.", "body_language": "Slightly lowers head, leans away from the man."}}} {"unique_id": "wAH6MZynLGM_T1_1_0", "video_id": "wAH6MZynLGM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Suit Male - Employee(Basner)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Suit Male - Employee(Basner)]. In the office conference room, when the Boss uses a countdown and physically touches the subject, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Suit Male - Employee(Basner)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Suit Male - Employee(Basner)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Suit Male - Employee(Basner)]", "affective_state": {"object": "[Light Suit Male - Boss(Woolwich)]", "coarse_category": ["Anger"], "fine_description": "He feels a state of intense indignation and defiance.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Angry glare", "body_language": "Abruptly standing up, leaning forward, veins popping", "vocal_cues": "Shouting (tone)", "verbal_content": "look i've done the job all right take my stuff do whatever you want to do with it but for the fifth time now i'm not going anywhere with anybody and don't you ever touch me again"}}} {"unique_id": "wHSH-NpCQOw_T1_1_1", "video_id": "wHSH-NpCQOw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Shirt Male - Lawyer(Joe)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Male - Lawyer(Joe)]. In the office, when listening to the client's assertion that his firing was sabotage, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Male - Lawyer(Joe)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Male - Lawyer(Joe)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Male - Lawyer(Joe)]", "affective_state": {"object": "[Bald Male - Client(Andrew)]", "coarse_category": ["Disgust"], "fine_description": "A feeling of skepticism and professional dismissal.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Mouth closed tight, eyes look disdainful", "body_language": "Shrugs shoulders while seated", "vocal_cues": "Disdainful, relaxed tone", "verbal_content": "I don't buy it, Counselor."}}} {"unique_id": "wHSH-NpCQOw_T1_2_0", "video_id": "wHSH-NpCQOw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Bald Male - Client(Andrew)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Client(Andrew)]. In the office, when the client attempts to justify his actions to the lawyer regarding why he did not disclose his condition to his employers, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Client(Andrew)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Client(Andrew)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Client(Andrew)]", "affective_state": {"object": "[White Shirt Male - Lawyer(Joe)]", "coarse_category": ["Fear"], "fine_description": "A feeling of apprehension and diffidence (guilty conscience).", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes dodging, blinking frequently", "body_language": "Shaking head slightly", "vocal_cues": "Steady, measured speech", "verbal_content": "That's not the point. From the day ..."}}} {"unique_id": "wOtk7fxLONA_T1_1_1", "video_id": "wOtk7fxLONA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Wife(Paige)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Wife(Paige)]. When Leo confronts her about her emotional distance and reconnection with her ex-fiancé, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Wife(Paige)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Wife(Paige)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Wife(Paige)]", "affective_state": {"object": "[White Shirt Male - Husband(Leo)]", "coarse_category": ["Sadness", "Guilt"], "fine_description": "A profound sense of guilt mixed with the exhaustion of trying to force feelings that aren't there.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Reddened eyes, trembling lips, downward gaze, attempting to hold back tears.", "body_language": "Stands still facing Leo, head slightly lowered, arms down.", "vocal_cues": "Trembling voice, slow tempo, suppressed crying tone.", "verbal_content": "I'm not trying to hurt you, but I'm just... I'm so tired of disappointing you."}}} {"unique_id": "wOtk7fxLONA_T1_2_0", "video_id": "wOtk7fxLONA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[White Shirt Male - Husband(Leo)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Shirt Male - Husband(Leo)]. When Leo confronts Paige about her reconnection with her ex-fiancé, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Shirt Male - Husband(Leo)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Shirt Male - Husband(Leo)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Shirt Male - Husband(Leo)]", "affective_state": {"object": "[Blonde Female - Wife(Paige)]", "coarse_category": ["Sadness"], "fine_description": "Overwhelming grief and a sense of abandonment.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, eyes shifting from anger to deep pain, tight lips, reddened eyes.", "body_language": "Rigid posture, hands hanging down, slight trembling, showing internal collapse.", "vocal_cues": "Deep voice, slowed tempo, suppressed choking sound.", "verbal_content": "I have been driving myself insane! Making a complete ass of myself... and you've been throwing yourself at Jeremy!"}}} {"unique_id": "wVKPQ9iZ04I_T1_1_1", "video_id": "wVKPQ9iZ04I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Middle-aged Female - Mother(Marion)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Female - Mother(Marion)]. While driving together and listening to the conclusion of a story on a cassette tape, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Female - Mother(Marion)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Female - Mother(Marion)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Female - Mother(Marion)]", "affective_state": {"object": "[Red-haired Young Female - Daughter(Lady Bird)]", "coarse_category": ["Sadness"], "fine_description": "Overcome with sentimental sadness", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Pursed lips, eyes welling up with tears", "body_language": "Looks towards the daughter"}}} {"unique_id": "wVKPQ9iZ04I_T1_2_0", "video_id": "wVKPQ9iZ04I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Middle-aged Female - Mother(Marion)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Female - Mother(Marion)]. Inside a moving car, when the story on the cassette tape concludes, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Female - Mother(Marion)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Female - Mother(Marion)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Female - Mother(Marion)]", "affective_state": {"object": "[Middle-aged Female - Mother(Marion)]", "coarse_category": ["Sadness", "Happiness"], "polarity": "Mixed", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Closes eyes, sighs with mouth open", "body_language": "Head tilts slightly to the side weakly", "vocal_cues": "Exhales a quick breath", "verbal_content": "Oh..."}}} {"unique_id": "wVsMJ0ntvmc_T1_1_0", "video_id": "wVsMJ0ntvmc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Male - Guest(Kurt)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Male - Guest(Kurt)]. During an outdoor social gathering, when a mother openly begins breastfeeding her four-year-old son on a shared bench, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Male - Guest(Kurt)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Male - Guest(Kurt)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Male - Guest(Kurt)]", "affective_state": {"object": "[Blonde Female - Mother]", "coarse_category": ["Surprise", "Disgust"], "fine_description": "A visceral mix of shock at the absurdity of the situation and deep discomfort or repulsion.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen significantly, eyebrows furrow in disbelief, gaze shifts away awkwardly.", "body_language": "Body stiffens and sits upright."}}} {"unique_id": "wbIH6b62y0g_T1_1_0", "video_id": "wbIH6b62y0g", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark Haired Female - Shop Assistant]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Haired Female - Shop Assistant]. In the candle and aromatherapy shop, when her boss interrupts her explanation to the customers and orders her to take out the trash, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Haired Female - Shop Assistant]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Haired Female - Shop Assistant]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Haired Female - Shop Assistant]", "affective_state": {"object": "[Middle Aged Male - Boss]", "coarse_category": ["Disgust"], "fine_description": "She feels a weary sense of disdain.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Sharp gaze fixed on the man", "vocal_cues": "Dissatisfied and perfunctory tone", "verbal_content": "Sorry, Mr. J."}}} {"unique_id": "wfmUxeRsy8c_T1_1_0", "video_id": "wfmUxeRsy8c", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Hair Glasses - Steve Jobs]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Hair Glasses - Steve Jobs]. While attempting to meditate on the floor as Joanna confronts him regarding his daughter, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Hair Glasses - Steve Jobs]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Hair Glasses - Steve Jobs]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Hair Glasses - Steve Jobs]", "affective_state": {"object": "[Brown Curly Hair - Joanna Hoffman]", "coarse_category": ["Anger", "Disgust"], "fine_description": "A simmering mix of frustration and contempt for the ongoing disturbance.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, eyes closed tight", "body_language": "Continuing yoga poses, turning body away from her"}}} {"unique_id": "wmXFSQdF3PM_T1_1_1", "video_id": "wmXFSQdF3PM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blue-Striped Headband Male - Climber(Rob)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blue-Striped Headband Male - Climber(Rob)]. When the climbing team reaches the summit of Mount Everest and prepares to communicate with Base Camp, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blue-Striped Headband Male - Climber(Rob)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blue-Striped Headband Male - Climber(Rob)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blue-Striped Headband Male - Climber(Rob)]", "affective_state": {"object": "[Mount Everest], [Climbers], [Family]", "coarse_category": ["Happiness"], "fine_description": "Ecstasy mixed with the profound relief of achievement.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Warm, soft smile; gentle, moved expression while speaking to Yasuko.", "body_language": "Holds the radio to his mouth, then leans in to embrace Yasuko, face close to hers.", "vocal_cues": "Loud cheering, rising intonation, full of power.", "verbal_content": "I'm on the top of Everest, Helen. We made it."}}} {"unique_id": "wmXFSQdF3PM_T1_2_0", "video_id": "wmXFSQdF3PM", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Coat Female - Base Camp Manager(Helen)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Coat Female - Base Camp Manager(Helen)]. Inside the Base Camp tent, when the lead climber's voice suddenly breaks through the static, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Coat Female - Base Camp Manager(Helen)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Coat Female - Base Camp Manager(Helen)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Coat Female - Base Camp Manager(Helen)]", "affective_state": {"object": "[Blue-Striped Headband Male - Climber(Rob)]", "coarse_category": ["Happiness"], "fine_description": "Overwhelming relief and heartfelt joy.", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes widen instantly, corners of mouth lift, followed by a bright smile and tears in eyes.", "body_language": "Stands holding the handheld radio to her mouth, raises an arm overhead to signal those around, then presses the radio to her chin.", "vocal_cues": "Pitch rises due to extreme excitement, fast speech rate, accompanied by joyful screams.", "verbal_content": "Oh, we copy you loud and clear, Rob. It's wonderful to hear your voice up there."}}} {"unique_id": "wwDCSzZx37I_T1_1_1", "video_id": "wwDCSzZx37I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Glasses - Father(Isaac)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses - Father(Isaac)]. In the public bathroom, while recording a video message, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses - Father(Isaac)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses - Father(Isaac)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses - Father(Isaac)]", "affective_state": {"object": "[Unborn Child]", "coarse_category": ["Fear"], "fine_description": "Paranoia and intense dread.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, terrified eyes, open mouth, distorted expression.", "body_language": "Leaning forward, gripping phone, rapid jerky movements.", "vocal_cues": "Accelerated pace, trembling voice, tearful tone.", "verbal_content": "This baby's a mistake. The baby will ruin your life. You'll ruin the baby's life. And then the baby will murder people."}}} {"unique_id": "wwDCSzZx37I_T1_2_0", "video_id": "wwDCSzZx37I", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Hat - Friend(Chris)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Hat - Friend(Chris)]. On the street, while engaging in a conversation with a female fan, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Hat - Friend(Chris)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Hat - Friend(Chris)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Hat - Friend(Chris)]", "affective_state": {"object": "[Curly Hair - Fan]", "coarse_category": ["Happiness"], "fine_description": "Flattered excitement and amusement", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Bright smile, engaged eyes, pleased expression.", "body_language": "Leaning forward, expressive gestures, moving closer to the woman.", "vocal_cues": "Upward inflection, enthusiastic voice.", "verbal_content": "Well, I'm not Julian Roberts, but you are a pretty woman. Well, you don't like Christmas? Wow. No, no, no. Jizz all over me. I like that my friends. Friends come and go, but fans, that's forever, you know. I'm very naughty."}}} {"unique_id": "x69lUuRClTI_T1_1_0", "video_id": "x69lUuRClTI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Suit Males - Defense Attorneys]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Suit Males - Defense Attorneys]. During a hearing to determine the admissibility of evidence, when the judge accepts Monk's word and rules that Mrs. Bronson keeps the estate, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Suit Males - Defense Attorneys]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Suit Males - Defense Attorneys]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Suit Males - Defense Attorneys]", "affective_state": {"object": "[Black Suit Male - Judge]", "coarse_category": ["Sadness"], "fine_description": "A shared sense of defeat, resignation, and frustration.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Closing eyes", "body_language": "Covering mouth with hand, sighing, looking down"}}} {"unique_id": "x6fcoqxi7WI_T1_1_0", "video_id": "x6fcoqxi7WI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Middle-aged Female - Mother(Annie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Middle-aged Female - Mother(Annie)]. During a tense family dinner, when the son confronts the mother and demands she speak her mind, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Middle-aged Female - Mother(Annie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Middle-aged Female - Mother(Annie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Middle-aged Female - Mother(Annie)]", "affective_state": {"object": "[Young Male - Son(Peter)]", "coarse_category": ["Anger"], "fine_description": "She experiences intense rage.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Grimacing, lips curled outward", "body_language": "Suddenly slams the table, stands up, points finger at the son", "vocal_cues": "Yelling (loud tone)", "verbal_content": "Don't you swear at me, you little... Don't you ever raise your voice at me. I am your mother. Do you understand?"}}} {"unique_id": "xAlCbE-yCTw_T1_1_0", "video_id": "xAlCbE-yCTw", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Older Male in Suit - Investor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Older Male in Suit - Investor]. When the manager informs the investors that withdrawing funds now would void the contract, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Older Male in Suit - Investor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Older Male in Suit - Investor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Older Male in Suit - Investor]", "affective_state": {"object": "[Blue T-shirt Male - Manager]", "coarse_category": ["Fear", "Sadness"], "fine_description": "A deep sense of helplessness and desperation.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes closed and head tilted back in disbelief, then a bitter, rueful smile and laugh.", "body_language": "Slumps back in his chair with head tipped back, then gestures loosely with an open hand while staying reclined.", "vocal_cues": "Low, flat, and stable tone.", "verbal_content": "Michael, give me my money back. Michael, do you hear me? I want my money back. Give me my fucking money back. You motherfucker."}}} {"unique_id": "xQ9lcCGI6Qk_T1_1_0", "video_id": "xQ9lcCGI6Qk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Long Sleeve - Jason]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Long Sleeve - Jason]. In the living room, when he buzzes his girlfriend into the apartment and faces objections from Daniel and Mikey, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Long Sleeve - Jason]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Long Sleeve - Jason]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Long Sleeve - Jason]", "affective_state": {"object": "[Black Hoodie - Daniel], [Black Shirt - Mikey]", "coarse_category": ["Embarrassment"], "fine_description": "A mix of awkward defensiveness and a desire to dismiss their concerns.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes dodging contact, corners of mouth in an awkward smile, eventually hardening his expression.", "body_language": "Spreads hands in a gesture of helplessness, then crosses arms over chest.", "vocal_cues": "Tone is flat and dismissive.", "verbal_content": "It's my apartment... I just buzzed her in. Both of you need to calm down."}}} {"unique_id": "xQ9lcCGI6Qk_T1_2_1", "video_id": "xQ9lcCGI6Qk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Black Hoodie - Daniel]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Hoodie - Daniel]. When Jason decides to invite a girl into the apartment, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Hoodie - Daniel]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Hoodie - Daniel]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Hoodie - Daniel]", "affective_state": {"object": "[Grey Long Sleeve - Jason]", "coarse_category": ["Surprise"], "fine_description": "Disbelief and shock at the audacity, rapidly mixing with frustration.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows furrowed deeply, eyes wide with incredulity, facial muscles tense while speaking.", "body_language": "Waves arms dramatically, points at the intercom and the room to emphasize his point, shifts posture on the sofa aggressively.", "vocal_cues": "Rapid speech rate, increased volume, tone filled with sarcasm and interrogation.", "verbal_content": "Are you serious, dude? Jason, this is a den of testosterone, man. This is a pregame. You can't invite a girl to a place like this. You didn't invite her? That's worse. Don't buzz her in. Don't buzz her in. Jason, look at me. Don't buzz her in. Don't buzz... Don't buzz her in, man. We're having such good guy time right now."}}} {"unique_id": "x_NCDybaJIk_T1_1_0", "video_id": "x_NCDybaJIk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[White Dress Female - Bride(Bella)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [White Dress Female - Bride(Bella)]. During the wedding reception, when [White Shirt Male - Guest(Jacob)] grabs her and speaks to her, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [White Dress Female - Bride(Bella)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[White Dress Female - Bride(Bella)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[White Dress Female - Bride(Bella)]", "affective_state": {"object": "[White Shirt Male - Guest(Jacob)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "A sharp feeling of indignation, anger, and repulsion at his lack of support and physical intrusion.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, expression of disgust and annoyance", "body_language": "Pulls away from his grip and steps back", "vocal_cues": "(Sharp, loud, firm tone)", "verbal_content": "I mean it's really none of your business. Let me go!"}}} {"unique_id": "xdnibOE5L40_T1_1_0", "video_id": "xdnibOE5L40", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Bald Male - Fighter]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Male - Fighter]. In the gym hallway, when [Leather Jacket Male - Teacher(Scott)] pushes him to let Scott take a UFC fight, based on the subject's observed body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Male - Fighter]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Male - Fighter]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Male - Fighter]", "affective_state": {"object": "[Leather Jacket Male - Teacher(Scott)]", "coarse_category": ["Anger"], "fine_description": "Intense frustration and aggressive anger", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"body_language": "Swaying body, pacing back and forth", "vocal_cues": "Loud shouting", "verbal_content": "Oh, yeah, okay. You know what the problem? The problem is we're the same age, and I can kick your ass!"}}} {"unique_id": "xdnibOE5L40_T1_2_1", "video_id": "xdnibOE5L40", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Leather Jacket Male - Teacher(Scott)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Leather Jacket Male - Teacher(Scott)]. In the gym hallway, when the [Bald Male - Fighter] kicks a gym ball that accidentally hits a [Male Bystander], based on the subject's observed facial expression, body language, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Leather Jacket Male - Teacher(Scott)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Leather Jacket Male - Teacher(Scott)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Leather Jacket Male - Teacher(Scott)]", "affective_state": {"object": "[Male Bystander]", "coarse_category": ["Fear"], "fine_description": "Sudden anxiety, nervousness, and apprehension", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Frowning", "body_language": "Looking back and forth between the fighter and the victim, pointing at the victim", "vocal_cues": "Timid tone, quiet voice, stuttering", "verbal_content": "You know, uh, maybe we should, uh... You know what? He's up. He's okay."}}} {"unique_id": "xpKYkGHWB7E_T1_1_1", "video_id": "xpKYkGHWB7E", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Fan]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Fan]. In the dressing room or backstage area, while meeting with the Singer backstage, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Fan]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Fan]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Fan]", "affective_state": {"object": "[Brunette Female - Singer]", "coarse_category": ["Sadness"], "fine_description": "A sudden sense of disappointment and deflation.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Her bright smile stiffens instantly upon hearing \"several girls\", corners of the mouth twitch, maintaining a forced smile, with fleeting eye contact.", "body_language": "Posture becomes slightly constrained, nodding becomes mechanical and frequent, subtle clutching motion with hands.", "vocal_cues": "Speaking rate noticeably increases, pitch rises, accompanied by awkward laughter.", "verbal_content": "Oh, yeah, totally. ... Yeah, yeah, she's cool."}}} {"unique_id": "xpKYkGHWB7E_T1_2_0", "video_id": "xpKYkGHWB7E", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Brunette Female - Singer]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brunette Female - Singer]. During the interview with the potential candidate, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brunette Female - Singer]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brunette Female - Singer]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brunette Female - Singer]", "affective_state": {"object": "[Blonde Female - Fan]", "coarse_category": ["Disgust"], "fine_description": "A sense of superiority mixed with disdain for the candidate's naivety.", "polarity": "Negative", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Corners of the mouth slightly raised, but eyes are scrutinizing; the smile conveys distance and reservation.", "body_language": "Body remains upright, hands resting naturally on legs, posture is relaxed but unapproachable.", "vocal_cues": "Tone is steady and calm, carrying a distinct sense of suppression and guidance.", "verbal_content": "I'm considering several girls. I like to get to know a person before I think about traveling with them."}}} {"unique_id": "xxulNn8UDtY_T1_1_0", "video_id": "xxulNn8UDtY", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Target(Janet)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Target(Janet)]. In the sunny outdoor dining area, when Lawrence instructs Janet to laugh loudly and pretend to enjoy herself in front of Freddy, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Target(Janet)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Target(Janet)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Target(Janet)]", "affective_state": {"object": "[Gray-haired Male - Wheelchair User(Freddy)]", "coarse_category": ["Anxiety"], "fine_description": "Underlying worry and guilt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth open in forced laughter, eyes hidden behind sunglasses; the smile fades right after.", "vocal_cues": "Loud, unnatural laughter.", "verbal_content": "Hahaha"}}} {"unique_id": "xy1RYlFd2fE_T1_1_1", "video_id": "xy1RYlFd2fE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Brown Curly Hair Female - Mother(Lorna)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Curly Hair Female - Mother(Lorna)]. Inside a diner, when the in-laws propose taking the child away permanently, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Curly Hair Female - Mother(Lorna)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Curly Hair Female - Mother(Lorna)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Curly Hair Female - Mother(Lorna)]", "affective_state": {"object": "[Grey Hair Female - Grandmother(Margaret)]", "coarse_category": ["Fear", "Anger"], "fine_description": "A mix of defensive anger, shock at the proposal, and underlying fear for her son's safety.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, eyes wide with surprise; eyes filling with tears after hearing about the abuse.", "body_language": "Sits up straight and leans back slightly when refuting.", "vocal_cues": "Tone: Surprised, quiet, becoming distressed.", "verbal_content": "You want me to give Jimmy to you? Want me to give up my son? ... God stop, I can't hear this."}}} {"unique_id": "xy1RYlFd2fE_T1_2_0", "video_id": "xy1RYlFd2fE", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Brown Curly Hair Female - Mother(Lorna)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Brown Curly Hair Female - Mother(Lorna)]. Inside a diner, when the grandmother invites the mother to escape with them, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Brown Curly Hair Female - Mother(Lorna)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Brown Curly Hair Female - Mother(Lorna)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Brown Curly Hair Female - Mother(Lorna)]", "affective_state": {"object": "[Absent Group - Weboy Family]", "coarse_category": ["Fear", "Sadness"], "fine_description": "A fleeting sense of yearning quickly crushed by overwhelming terror and despair.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes cast down in thought; lips trembling while speaking.", "body_language": "Leans back, physically controlling her sobbing.", "vocal_cues": "Voice trembling, with suppressed crying.", "verbal_content": "He'd kill me, him and his mother. She couldn't care less if I fell off the face of the earth... but she never let me go or Jimmy... I don't want Jimmy to grow up like that."}}} {"unique_id": "y2WxQzN_zz8_T1_1_0", "video_id": "y2WxQzN_zz8", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Haired Male - Platform Manager(Jimmy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Haired Male - Platform Manager(Jimmy)]. During the safety meeting, when confronting the Project Supervisor regarding the dismissal of the cement testing team, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Haired Male - Platform Manager(Jimmy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Haired Male - Platform Manager(Jimmy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Haired Male - Platform Manager(Jimmy)]", "affective_state": {"object": "[Bald Male - Project Supervisor]", "coarse_category": ["Anger"], "fine_description": "Deep frustration and anger.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brow, narrowed eyes, tense jaw, slight head tilt forward.", "body_language": "Standing, leaning forward slightly, hands gesturing for emphasis.", "vocal_cues": "Firm, slightly raised voice with sharp intonation.", "verbal_content": "You guys, just like my granddad."}}} {"unique_id": "y2wupV34DRk_T1_1_1", "video_id": "y2wupV34DRk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Long-haired Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Mother]. In the House Interior / Nursery, when the couple returns home and the caregiver reveals a visitor was just inside the house, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Mother]", "affective_state": {"object": "[Baby - Son]", "coarse_category": ["Fear"], "fine_description": "Overwhelming panic and terror.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes wide, pupils constricted, facial muscles tense, terrified expression", "body_language": "Rushing towards the room, frantic movements, stumbling", "vocal_cues": "High-pitched voice, screaming, trembling, gasping", "verbal_content": "She took my baby! My god, what happened?"}}} {"unique_id": "y2wupV34DRk_T1_2_2", "video_id": "y2wupV34DRk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Long-haired Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Long-haired Female - Mother]. In the hospital corridor, after the doctor confirms the baby is physically fine and the mother confronts the detective, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Long-haired Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Long-haired Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Long-haired Female - Mother]", "affective_state": {"object": "[Blonde Female - Detective]", "coarse_category": ["Anger"], "fine_description": "Intense anger and protective outrage.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Furrowed brows, sharp cold stare, direct eye contact", "body_language": "Leaning forward aggressively, head turning sharply to observe surroundings", "vocal_cues": "Hard tone, emphatic phrasing, strong stress on words", "verbal_content": "Well I'm not fine. You better do something about this woman."}}} {"unique_id": "y2wupV34DRk_T1_3_0", "video_id": "y2wupV34DRk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 3, "known_fields": {"subject": "[Bald Black Male - Father]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Bald Black Male - Father]. In the Hospital Waiting Area, when the detective informs him that legal options are limited to surveillance, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Bald Black Male - Father]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Bald Black Male - Father]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Bald Black Male - Father]", "affective_state": {"object": "[Blonde Female - Detective]", "coarse_category": ["Anger"], "fine_description": "Frustration turning into a cold resolve.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Frowning, cold stare fixed on the detective, tense facial muscles", "body_language": "Aggressive posture, suddenly raising hand to interrupt", "vocal_cues": "Deep and powerful voice, accelerated tempo, threatening tone", "verbal_content": "What am I supposed to do now? Buy a gun? Good. My son, my son."}}} {"unique_id": "y5nviTYYEPU_T1_1_0", "video_id": "y5nviTYYEPU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Headscarf - Maid]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Headscarf - Maid]. When Farnas confronts her with a direct accusation regarding her son, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Headscarf - Maid]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Headscarf - Maid]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Headscarf - Maid]", "affective_state": {"object": "[Brunette - Woman(Farnas)]", "coarse_category": ["Fear"], "fine_description": "Nervous fear of the consequences mixed with a sense of grievance and defensiveness.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth twitching, blinking.", "vocal_cues": "Questioning tone", "verbal_content": "You misunderstood. You know better? Why is it that you see it always right? Is it possible you choose to see what you want?"}}} {"unique_id": "yQXi94aNwBU_T1_1_1", "video_id": "yQXi94aNwBU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit Male - Executive]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit Male - Executive]. When Dick and Jane confront the Executive to demand money and Jane exposes his plan to cancel the check, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit Male - Executive]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit Male - Executive]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit Male - Executive]", "affective_state": {"object": "[Dark Suit Male - Dick]", "coarse_category": ["Disgust"], "fine_description": "Feels deep contempt.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Slight smile with contempt, raised eyebrows, condescending downward gaze", "body_language": "Exaggerated motion of signing the check, leaning forward in a patronizing 'benevolent' posture", "vocal_cues": "Low, slow tone with heavy sarcasm", "verbal_content": "I think it takes a lot of cojones to do what you two have done... and I admire that."}}} {"unique_id": "yQXi94aNwBU_T1_2_0", "video_id": "yQXi94aNwBU", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Dark Suit Male - Dick]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark Suit Male - Dick]. When the Executive challenges his resolve to actually shoot, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark Suit Male - Dick]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark Suit Male - Dick]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark Suit Male - Dick]", "affective_state": {"object": "[Black Suit Male - Executive]", "coarse_category": ["Anger", "Anxiety"], "fine_description": "Tense, resentful determination while staging a breakdown.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Wide eyes filled with tears, raised eyebrows, exaggerated and slightly twisted smile", "body_language": "Leaning forward and trembling, holding the gun pointed at the target", "vocal_cues": "Trembling, broken voice, tone suggesting a manic mental collapse", "verbal_content": "Write me a check!......I don't care. I don't care."}}} {"unique_id": "yjSQMZSEV4Y_T1_1_1", "video_id": "yjSQMZSEV4Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray-haired Female - Boss(Eva)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray-haired Female - Boss(Eva)]. On the street, when Anton's companion asserts that Anton's code is his, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray-haired Female - Boss(Eva)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray-haired Female - Boss(Eva)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray-haired Female - Boss(Eva)]", "affective_state": {"object": "[Grey Beanie Glasses Male - Programmer(Anton)]", "coarse_category": ["Anger"], "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Facial muscles tense, mouth open, sharp gaze, agitated expression.", "body_language": "Pointing finger at the other person, leaning forward, intense gestures.", "vocal_cues": "High volume, rapid pace, tone filled with questioning and scolding.", "verbal_content": "Your codes? You're delusional. Everything in that head, it's ours."}}} {"unique_id": "yjSQMZSEV4Y_T1_2_0", "video_id": "yjSQMZSEV4Y", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Grey Beanie Glasses Male - Programmer(Anton)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Beanie Glasses Male - Programmer(Anton)]. On the city street, when Anton attempts to resign and claim his code, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Beanie Glasses Male - Programmer(Anton)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Beanie Glasses Male - Programmer(Anton)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Beanie Glasses Male - Programmer(Anton)]", "affective_state": {"object": "[Gray-haired Female - Boss(Eva)]", "coarse_category": ["Anger"], "fine_description": "Anger at the disrespect combined with disgust toward her controlling nature.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, tight lips, averting gaze, defensive expression.", "body_language": "Stepping back, hands in pockets, trying to maintain distance.", "vocal_cues": "Flat but sarcastic tone, conveying a sense of relief.", "verbal_content": "I'm sick of just patching things up and fixing these small tedious problems. Shitty design in the first place."}}} {"unique_id": "yoa9SgaZ0Uk_T1_1_0", "video_id": "yoa9SgaZ0Uk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Lexie Littleton]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Lexie Littleton]. When Dodge deflects with a joke about being in love with the man she was just arguing with, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Lexie Littleton]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Lexie Littleton]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Lexie Littleton]", "affective_state": {"object": "[Dark Suit Male - Dodge Connolly]", "coarse_category": ["Happiness"], "fine_description": "A feeling of amusement that manifests as spontaneous laughter.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Grinning broadly, laughing", "body_language": "Shoulders shaking with laughter, leaning forward"}}} {"unique_id": "yquyze0QbPk_T1_1_0", "video_id": "yquyze0QbPk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Male - Bystander]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Male - Bystander]. At the Village Hall, while the clerk processes the paperwork for Laurel and Stacie, based on the subject's observed body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Male - Bystander]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Male - Bystander]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Male - Bystander]", "affective_state": {"object": "[Blonde Female - Detective(Laurel)]", "coarse_category": ["Surprise"], "fine_description": "Feels a sense of curiosity and surprise", "polarity": "Neutral", "intensity": "Low"}, "affective_manifestation": {"body_language": "Slowly turns around to look at the two women"}}} {"unique_id": "yquyze0QbPk_T1_2_1", "video_id": "yquyze0QbPk", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Blonde Female - Detective(Laurel)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Detective(Laurel)]. While Laurel and Stacie are at the Village Hall to register their domestic partnership and the clerk processes their paperwork, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Detective(Laurel)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Detective(Laurel)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Detective(Laurel)]", "affective_state": {"object": "[Pink Jacket Female - Clerk]", "coarse_category": ["Happiness"], "fine_description": "Feels happy and moved", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Purses lips in a smile", "body_language": "Takes the document with both hands and looks down at it", "vocal_cues": "Soft tone, slightly choked up", "verbal_content": "Thanks"}}} {"unique_id": "yzera03y4_0_T1_1_0", "video_id": "yzera03y4_0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Student(Lisa)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Student(Lisa)]. When Justin admits they killed a woman, based on the subject's observed facial expressions, vocal cues and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Student(Lisa)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Student(Lisa)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Student(Lisa)]", "affective_state": {"object": "[Dark Shirt Male - Student(Justin)]", "coarse_category": ["Surprise", "Fear"], "fine_description": "A sudden shock of disbelief mixed with underlying fear as the reality of his statement begins to sink in.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Brief smile of disbelief which quickly fades into a serious, stunned expression.", "vocal_cues": "Skeptical tone", "verbal_content": "No, you didn't."}}} {"unique_id": "zJ08DhVEAiI_T1_1_1", "video_id": "zJ08DhVEAiI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Gray Hair - Businessman(Robert)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Gray Hair - Businessman(Robert)]. In the luxury office, when he is confronted by a creditor regarding a massive overdue debt, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Gray Hair - Businessman(Robert)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Gray Hair - Businessman(Robert)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Gray Hair - Businessman(Robert)]", "affective_state": {"object": "[Glasses - Creditor]", "coarse_category": ["Fear", "Anxiety"], "fine_description": "Deep internal panic and anxiety.", "polarity": "Negative", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Eyes betray fatigue and anxiety despite a faint attempt to smile; touches ear and hair nervously.", "body_language": "Shrinks back slightly in the chair; nods frequently to feign compliance.", "vocal_cues": "(Soft tone) Voice is whisper-quiet, slow, and cautious.", "verbal_content": "I'm gonna get your money. And your fee. You will have it very shortly."}}} {"unique_id": "zJ08DhVEAiI_T1_2_0", "video_id": "zJ08DhVEAiI", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Glasses - Creditor]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Glasses - Creditor]. When addressing the month-long delay in returning the loan, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Glasses - Creditor]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Glasses - Creditor]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Glasses - Creditor]", "affective_state": {"object": "[Gray Hair - Businessman(Robert)]", "coarse_category": ["Anger", "Disgust"], "fine_description": "Intense anger at the loss of control and disgust towards Robert's dishonesty.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Furrowed brows, aggressive glare, tight mouth, facial muscles twitching with rage.", "body_language": "Sits with hands clasped on the desk, leans forward while speaking, then gestures with one raised hand to press his demand.", "vocal_cues": "(Loud tone) Voice is raised, rapid, and dripping with sarcasm and rebuke.", "verbal_content": "The 412 million dollars you needed, you said for two weeks, and which has been languishing now for 32 days!"}}} {"unique_id": "zPqBVU22fRs_T1_1_0", "video_id": "zPqBVU22fRs", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Sister(Beth)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Sister(Beth)]. In the living room decorated with a Christmas tree, when she quietly observes her family's joyful interactions, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Sister(Beth)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Sister(Beth)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Sister(Beth)]", "affective_state": {"object": "[Middle-aged Male - Father(Mr. March)]", "coarse_category": ["Happiness"], "fine_description": "A serene sense of happiness and contentment, mixed with being emotionally moved.", "polarity": "Positive", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "A faint smile with corners of the mouth raised, eventually transitioning to signs of sobbing.", "body_language": "Constantly playing with a doll in her hands."}}} {"unique_id": "zgDARv2GW-0_T1_1_0", "video_id": "zgDARv2GW-0", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Noblewoman(Emma)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Noblewoman(Emma)]. In her bedroom, when [Hat Wearing Female - Friend(Harriet)] comes to tell her that she has accepted the marriage proposal from [Striped Shirt Male - Farmer(Mr. Martin)], based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Noblewoman(Emma)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Noblewoman(Emma)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Noblewoman(Emma)]", "affective_state": {"object": "[Hat Wearing Female - Friend(Harriet)]", "coarse_category": ["Surprise", "Sadness"], "fine_description": "She feels a sudden shock followed by a wave of sadness", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Wide-eyed stillness, then a soft, moved smile", "vocal_cues": "Slightly choking voice", "verbal_content": "then he is the most fortunate man of my acquaintance"}}} {"unique_id": "zmdsY7PIJDg_T1_1_0", "video_id": "zmdsY7PIJDg", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Black Suit - Suspect]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Black Suit - Suspect]. During the identification procedure, when the Inspector presses him for certainty regarding the detainees, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Black Suit - Suspect]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Black Suit - Suspect]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Black Suit - Suspect]", "affective_state": {"object": "[Grey Hair - Inspector]", "coarse_category": ["Fear"], "fine_description": "A surge of anxiety and fear of being caught in a lie.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Brows slightly furrowed, eyes squinting, wearing an apologetic and nervous smile.", "body_language": "Nods rapidly after initially shaking head.", "vocal_cues": "Rushed, trembling tone.", "verbal_content": "Ah, yes, yes, come to think of it, I do know them! I met them on the train, I almost bought their dog."}}} {"unique_id": "znjpkKX6bek_T1_1_1", "video_id": "znjpkKX6bek", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Grey Shirt Male - Stu]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Grey Shirt Male - Stu]. At the wedding chapel, when the owner reveals the truth, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Grey Shirt Male - Stu]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Grey Shirt Male - Stu]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Grey Shirt Male - Stu]", "affective_state": {"object": "[Wedding Photos]", "coarse_category": ["Surprise", "Guilt"], "fine_description": "Overwhelming shock mixed with deep shame and panic about the consequences", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Eyes widen, mouth slightly open, expression shifts from shock to disbelief and shame, cheeks flushing.", "body_language": "Steps back, hands instinctively go to hips, turns head away from the photos to avoid the visual proof.", "vocal_cues": "Voice trembles with a tone of panic and denial.", "verbal_content": "Oh god... my life is over. This can't be happening."}}} {"unique_id": "znjpkKX6bek_T1_2_0", "video_id": "znjpkKX6bek", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 2, "known_fields": {"subject": "[Striped Shirt Male - Chapel Owner(Eddie)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Striped Shirt Male - Chapel Owner(Eddie)]. While recounting the group's behavior from the previous night to the friends, based on the subject's observed facial expressions, body language, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Striped Shirt Male - Chapel Owner(Eddie)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Striped Shirt Male - Chapel Owner(Eddie)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Striped Shirt Male - Chapel Owner(Eddie)]", "affective_state": {"object": "[Grey Shirt Male - Stu]", "coarse_category": ["Happiness"], "fine_description": "Amusement and admiration for their audacity", "polarity": "Positive", "intensity": "High"}, "affective_manifestation": {"facial_expression": "Bright smile, eyes shining with excitement, corners of mouth raised, showing teeth.", "body_language": "Leans forward, arms open in a welcoming gesture, pats his chest to emphasize his point.", "vocal_cues": "High-pitched tone, full of passion and pride, fast speaking rate.", "verbal_content": "This guy is the craziest, wildest bastard I ever met in my life! This guy is out of his mind! I love these guys!"}}} {"unique_id": "zpscvd8VW8U_T1_1_0", "video_id": "zpscvd8VW8U", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Blonde Female - Mother]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Blonde Female - Mother]. During a family dinner, when the daughter admits to getting in trouble for using inappropriate language, based on the subject's observed facial expressions, vocal cues, and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Blonde Female - Mother]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Blonde Female - Mother]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"vocal_cues\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Blonde Female - Mother]", "affective_state": {"object": "[Redhead Female - Daughter]", "coarse_category": ["Happiness"], "fine_description": "Amused curiosity and intrigue.", "polarity": "Positive", "intensity": "Low"}, "affective_manifestation": {"facial_expression": "Smiles", "vocal_cues": "Curious tone", "verbal_content": "Oh, T. T... T..."}}} {"unique_id": "zwIg1QvuQkc_T1_1_0", "video_id": "zwIg1QvuQkc", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Short Dark Hair Male - Visitor(Dean)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Short Dark Hair Male - Visitor(Dean)]. At the art gallery, when his phone rings audibly while he is holding it to his ear, based on the subject's observed facial expressions, body language and verbal content, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Short Dark Hair Male - Visitor(Dean)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Short Dark Hair Male - Visitor(Dean)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\",", " \"verbal_content\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Short Dark Hair Male - Visitor(Dean)]", "affective_state": {"object": "[Blonde Female - Visitor(Nicky)]", "coarse_category": ["Embarrassment"], "fine_description": "A sudden sense of awkwardness and embarrassment.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Smile", "body_language": "Lowers phone, turns body towards [Blonde Female - Visitor(Nicky)]", "verbal_content": "It's weird reception out here. I was just doing a bit."}}} {"unique_id": "zzJM4vWqJvA_T1_1_0", "video_id": "zzJM4vWqJvA", "task_id": "1", "task_name": "Grounded Affect Recognition", "chain_id": 1, "known_fields": {"subject": "[Dark-haired Female - Wife(Amy)]"}, "question": ["Task:", "Infer the subject's affective state and observable affective manifestation.", "", "Focal Context:", "Focus on [Dark-haired Female - Wife(Amy)]. During a couple's therapy session, when the [Plaid Shirt Male - Husband] focuses on trivial matters like food during a positive feedback exercise, based on the subject's observed facial expressions and body language, infer the subject's internal affective state.", "", "Known Structured Fields:", "- subject: [Dark-haired Female - Wife(Amy)]", "", "Answer Template:", "```json", "{", " \"subject\": \"[Dark-haired Female - Wife(Amy)]\",", " \"affective_state\": {", " \"object\": \"string\",", " \"coarse_category\": [", " \"string\"", " ],", " \"fine_description\": \"string\",", " \"polarity\": \"string\",", " \"intensity\": \"string\"", " },", " \"affective_manifestation\": {", " \"facial_expression\": \"string\",", " \"body_language\": \"string\"", " }", "}", "```"], "answer": {"subject": "[Dark-haired Female - Wife(Amy)]", "affective_state": {"object": "[Plaid Shirt Male - Husband]", "coarse_category": ["Sadness"], "fine_description": "A feeling of disbelief mixed with disappointment regarding his lack of emotional depth.", "polarity": "Negative", "intensity": "Medium"}, "affective_manifestation": {"facial_expression": "Mouth slightly open", "body_language": "Shakes head looking at the [Plaid Shirt Male - Husband] in disbelief, then spreads hands to express helplessness"}}}