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	{"clip_id": "1527729.5_2Ew_qX3AHxA", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=2Ew_qX3AHxA", "video_id": "2Ew_qX3AHxA", "width": 1280, "height": 720, "fps": 29.999, "seconds": 57.001, "timestamp": "['00:00:59.129', '00:01:56.130']", "frame_number": 1710, "framestamp": "[1770, 3480]", "file_path": "video_clips/000001527/000001527729.5.mp4", "short_caption": "A person is holding a blue wire in their hand.", "dense_caption": "A close-up sequence of a person handling a blue wire. Initially, the wire is partially visible as the person grips it firmly with their fingers. The setting appears to be indoors, possibly a workshop or a home environment, suggested by the casual attire of the person and the domestic textures in the background. As the video progresses, the person manipulates the wire, possibly preparing it for some electrical or crafting task. The focus remains tight on the hands and the wire, emphasizing the action and the object being handled.", "background_caption": "Blurred and indistinct, focusing attention on the hands and the wire. Elements of a casual shirt and what might be a part of a domestic setting, such as a countertop, are visible. The environment suggests an indoor setting with artificial lighting, providing a clear view of the wire and the hands without any distractions from the background.", "main_object_caption": "A person whose gender is not specified, is seen handling a blue wire. The video starts with the wire being grasped and maneuvered between the person's fingers. The person's hands are the central focus, showing actions such as twisting, holding, and adjusting the wire. Throughout the sequence, the person's actions suggest a preparation or modification process involving the wire.", "style_caption": "The video employs a documentary-style close-up, with a static camera focusing on detailed manual activity, highlighted by clear, artificial lighting and a shallow depth of field to keep the attention on the subject's hands and the object.", "camera_caption": "The camera maintains a close-up shot throughout the sequence, focusing primarily on the hands and the wire. There is minimal camera movement, with slight adjustments to keep the hands centrally framed as they move. The angle is consistent, providing a direct view of the actions being performed, enhancing the viewer's understanding of the manipulation of the wire.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'Which team in the video reached the finish line first?',\n 'Options': [\n 'A. USA team.',\n 'B. Canadian team.',\n 'C. Ghana team.',\n 'D. South Africa team.'\n ],\n 'Answer': 'B'}\n\n2. {'Q': 'The main character of the video is observing the surface of the moon when he notices a straight line, what is it?',\n 'Options': [\n 'A. Lunar Ridge.',\n 'B. Collapsed lava tubes.',\n 'C. Rift valley systems.',\n 'D. Scratch marks.'\n ],\n 'Answer': 'B'}\n\n3. {'Q': 'What item is not used to decorate the Christmas tree?',\n 'Options': [\n 'A. Red balls.',\n 'B. Lights.',\n 'C. Green stars.',\n 'D. Icicles.'\n ],\n 'Answer': 'C. Green stars.'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA close-up sequence of a person handling a blue wire. Initially, the wire is partially visible as the person grips it firmly with their fingers. The setting appears to be indoors, possibly a workshop or a home environment, suggested by the casual attire of the person and the domestic textures in the background. As the video progresses, the person manipulates the wire, possibly preparing it for some electrical or crafting task. The focus remains tight on the hands and the wire, emphasizing the action and the object being handled.\n\nBackground Description:\nBlurred and indistinct, focusing attention on the hands and the wire. Elements of a casual shirt and what might be a part of a domestic setting, such as a countertop, are visible. The environment suggests an indoor setting with artificial lighting, providing a clear view of the wire and the hands without any distractions from the background.\n\nMain Object Description:\nA person whose gender is not specified, is seen handling a blue wire. The video starts with the wire being grasped and maneuvered between the person's fingers. The person's hands are the central focus, showing actions such as twisting, holding, and adjusting the wire. Throughout the sequence, the person's actions suggest a preparation or modification process involving the wire.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What color is the wire that the person is handling in the video?', 'Options': ['A. Red', 'B. Blue', 'C. Green', 'D. Black'], 'Answer': 'B'}]"}
	{"clip_id": "1527729.9_2Ew_qX3AHxA", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=2Ew_qX3AHxA", "video_id": "2Ew_qX3AHxA", "width": 1280, "height": 720, "fps": 29.605, "seconds": 42.56, "timestamp": "['00:02:39.690', '00:03:22.250']", "frame_number": 1260, "framestamp": "[4770, 6030]", "file_path": "video_clips/000001527/000001527729.9.mp4", "short_caption": "A person is holding a black wire in their hand.", "dense_caption": "A close-up sequence of a person's hand interacting with a black wire. Initially, the wire appears frayed at the end, with individual strands splayed outwards. The person's hand, adorned with a ring, manipulates the wire, possibly stripping or adjusting it. As the video progresses, the wire is manipulated further, with the person's fingers twisting or arranging the strands, potentially in preparation for an electrical connection or repair.", "background_caption": "Mostly blurred and indistinct, suggesting a shallow depth of field focused on the hand and wire. However, some objects that resemble bags or cluttered materials can be seen, implying an indoor setting, possibly a workspace or an area where electrical or technical work is being conducted.", "main_object_caption": "A person's hand, is the focus of the video. The hand is seen holding and manipulating a black wire with frayed ends. The actions include pinching, twisting, and adjusting the wire, suggesting a process of preparing the wire for use. The hand moves with precision, indicating a task that requires dexterity and attention to detail.", "style_caption": "The visual style is characterized by a close-up, detailed focus with a shallow depth of field, highlighting the intricacies of the manual task being performed.", "camera_caption": "The camera remains tightly focused on the hand and wire throughout the sequence, maintaining a close-up view that follows the hand's movements. There is minimal camera movement, with slight adjustments to keep the hand and wire in frame as the person works with them. The shooting angle is consistent, emphasizing the fine motor skills involved in the task.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What country's practice game is this?',\n 'Options': [\n 'A. UK.',\n 'B. USA.',\n 'C. Canada.',\n 'D. Australia.'\n ],\n 'Answer': 'B. USA.'}\n\n2. {'Q': 'Which team in the video reached the finish line first?',\n 'Options': [\n 'A. USA team.',\n 'B. Canadian team.',\n 'C. Ghana team.',\n 'D. South Africa team.'\n ],\n 'Answer': 'B'}\n\n3. {'Q': 'What sport are the two teams of athletes playing?',\n 'Options': [\n 'A. Ice hockey.',\n 'B. Soccer.',\n 'C. Rugby.',\n 'D. Basketball.'\n ],\n 'Answer': 'C'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA close-up sequence of a person's hand interacting with a black wire. Initially, the wire appears frayed at the end, with individual strands splayed outwards. The person's hand, adorned with a ring, manipulates the wire, possibly stripping or adjusting it. As the video progresses, the wire is manipulated further, with the person's fingers twisting or arranging the strands, potentially in preparation for an electrical connection or repair.\n\nBackground Description:\nMostly blurred and indistinct, suggesting a shallow depth of field focused on the hand and wire. However, some objects that resemble bags or cluttered materials can be seen, implying an indoor setting, possibly a workspace or an area where electrical or technical work is being conducted.\n\nMain Object Description:\nA person's hand, is the focus of the video. The hand is seen holding and manipulating a black wire with frayed ends. The actions include pinching, twisting, and adjusting the wire, suggesting a process of preparing the wire for use. The hand moves with precision, indicating a task that requires dexterity and attention to detail.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What is the person's hand doing with the black wire?', 'Options': ['A. Cutting the wire.', 'B. Stripping or adjusting the wire.', 'C. Tying the wire into a knot.', 'D. Painting the wire.'], 'Answer': 'B. Stripping or adjusting the wire.'}]"}
	{"clip_id": "1474088.5_r8AH2oTYL-8", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=r8AH2oTYL-8", "video_id": "r8AH2oTYL-8", "width": 1280, "height": 720, "fps": 29.745, "seconds": 112.96, "timestamp": "['00:01:13.710', '00:03:06.670']", "frame_number": 3360, "framestamp": "[2190, 5550]", "file_path": "video_clips/000001474/000001474088.5.mp4", "short_caption": "A man is using a shovel and a wheelbarrow to move compost in a garden.", "dense_caption": "A man engaged in the process of composting in a lush, well-tended garden. He is dressed in a light green shirt, blue jeans, and wears a wide-brimmed straw hat, suggesting a warm, sunny day. Initially, he is seen shoveling dark, rich compost from a pile into a blue wheelbarrow. As the video progresses, he methodically transfers kitchen waste and other organic materials into a compost bin, mixing and turning the contents with a shovel. The sequence highlights the practical steps of sustainable gardening, emphasizing the recycling of organic waste back into the soil.", "background_caption": "Features a densely planted garden with a variety of plants and trees, indicating a rich, biodiverse environment. Various gardening implements and containers are scattered around, showing an active gardening site. The weather is sunny, casting sharp shadows and highlighting the vibrant greenery of the garden.", "main_object_caption": "A man, is actively involved in composting tasks. He starts by shoveling compost into a wheelbarrow, then moves to depositing kitchen scraps and other decomposables into a compost bin. Throughout, he uses a shovel for mixing and aerating the compost, demonstrating a methodical and efficient approach to maintaining the compost's health and promoting decomposition.", "style_caption": "The video employs a clear, straightforward documentary style with sharp focus and natural lighting to highlight the practical aspects of home composting in a personal garden setting.", "camera_caption": "The camera maintains a steady, eye-level perspective throughout the sequence, focusing closely on the actions of the man and the immediate surroundings. The shots are framed to emphasize the subject's interactions with the compost and the wheelbarrow, with minimal camera movement, likely mounted on a tripod or held steady to capture the detailed activities without distraction.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'The main character of the video is observing the surface of the moon when he notices a straight line, what is it?',\n 'Options': [\n 'A. Lunar Ridge.',\n 'B. Collapsed lava tubes.',\n 'C. Rift valley systems.',\n 'D. Scratch marks.'\n ],\n 'Answer': 'B'}\n\n2. {'Q': 'What kind of chess are the old people in the video playing?',\n 'Options': [\n 'A. Mahjong.',\n 'B. Go.',\n 'C. Chinese chess.',\n 'D. Five-in-a-row.'\n ],\n 'Answer': 'C. Chinese chess.'}\n\n3. {'Q': 'Who finally find the lost city?',\n 'Options': [\n 'A. Terra preta.',\n 'B. Fawcett.',\n 'C. European expeditions.',\n 'D. Dr.Michael Heckenberger.'\n ],\n 'Answer': 'D. Dr.Michael Heckenberger.'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA man engaged in the process of composting in a lush, well-tended garden. He is dressed in a light green shirt, blue jeans, and wears a wide-brimmed straw hat, suggesting a warm, sunny day. Initially, he is seen shoveling dark, rich compost from a pile into a blue wheelbarrow. As the video progresses, he methodically transfers kitchen waste and other organic materials into a compost bin, mixing and turning the contents with a shovel. The sequence highlights the practical steps of sustainable gardening, emphasizing the recycling of organic waste back into the soil.\n\nBackground Description:\nFeatures a densely planted garden with a variety of plants and trees, indicating a rich, biodiverse environment. Various gardening implements and containers are scattered around, showing an active gardening site. The weather is sunny, casting sharp shadows and highlighting the vibrant greenery of the garden.\n\nMain Object Description:\nA man, is actively involved in composting tasks. He starts by shoveling compost into a wheelbarrow, then moves to depositing kitchen scraps and other decomposables into a compost bin. Throughout, he uses a shovel for mixing and aerating the compost, demonstrating a methodical and efficient approach to maintaining the compost's health and promoting decomposition.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What tool does the man use to mix and turn the contents of the compost bin?', 'Options': ['A. Rake', 'B. Shovel', 'C. Pitchfork', 'D. Hoe'], 'Answer': 'B'}]"}
	{"clip_id": "1794665.12_z3VfdVfw7CY", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=z3VfdVfw7CY", "video_id": "z3VfdVfw7CY", "width": 1280, "height": 720, "fps": 29.564, "seconds": 46.61, "timestamp": "['00:02:10.160', '00:02:56.770']", "frame_number": 1378, "framestamp": "[3896, 5274]", "file_path": "video_clips/000001794/000001794665.12.mp4", "short_caption": "A young woman is sitting on a chair in a room with a colorful background she is wearing pink pants and a white shirt, and there is a wicker chair in the room.", "dense_caption": "The video features a young woman in a vibrant and eclectic room, engaging with her surroundings in a series of dynamic poses and movements. She is dressed in pink pants and a white shirt, accessorized with a red scarf and colorful bracelets, adding a playful and stylish element to her ensemble. Throughout the video, she transitions between different poses and interactions with objects in the room, such as sitting in a wicker chair, standing, and moving around. The room is decorated with a mix of colorful textiles, vintage furniture, and decorative items, creating a visually stimulating environment that complements her lively and expressive demeanor.", "background_caption": "A room filled with an eclectic mix of objects and decorations. There are colorful woven textiles, a variety of chairs, vintage electronic devices, and vibrant wall decorations. The overall setting is indoors, with artificial lighting that highlights the vivid colors and patterns in the room. The atmosphere is cheerful and artistic, reflecting a curated space of creativity and style.", "main_object_caption": "The young woman begins seated in a wicker chair, surrounded by colorful decorations. She then stands and interacts with various objects in the room, including a vintage radio and a stack of books. Her movements are graceful and deliberate, emphasizing her interaction with the space. In some frames, she appears in multiple exposures, suggesting movement and a playful, energetic personality. The sequence captures her in various poses, from sitting to standing, often looking directly towards the camera, engaging with the viewer.", "style_caption": "The video showcases a vibrant and eclectic visual style, characterized by saturated colors, playful patterns, and dynamic compositions that emphasize movement and interaction.", "camera_caption": "The camera work in the video is dynamic, with changes in angles and perspectives that add to the lively feel of the footage. It includes straight-on shots, close-ups, and wide angles that encompass the entire setting. The camera occasionally uses effects like multiple exposures to convey motion and energy. There is minimal camera movement, focusing instead on the woman's movements within the frame to keep the viewer engaged.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What item is not used to decorate the Christmas tree?',\n 'Options': [\n 'A. Red balls.',\n 'B. Lights.',\n 'C. Green stars.',\n 'D. Icicles.'\n ],\n 'Answer': 'C. Green stars.'}\n\n2. {'Q': 'According to the video, which team ultimately won?',\n 'Options': [\n 'A. China.',\n 'B. Italy.',\n 'C. USA.',\n 'D. France.'\n ],\n 'Answer': 'A'}\n\n3. {'Q': 'What is the identity of the athlete in the video who committed fouls on all attempts except the first one?',\n 'Options': [\n 'A. He is an athlete of the Chinese team.',\n 'B. He is an athlete of the Jamaican team.',\n 'C. He is a neutral individual athlete.',\n 'D. It is not mentioned in the video.'\n ],\n 'Answer': 'C. He is a neutral individual athlete.'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nThe video features a young woman in a vibrant and eclectic room, engaging with her surroundings in a series of dynamic poses and movements. She is dressed in pink pants and a white shirt, accessorized with a red scarf and colorful bracelets, adding a playful and stylish element to her ensemble. Throughout the video, she transitions between different poses and interactions with objects in the room, such as sitting in a wicker chair, standing, and moving around. The room is decorated with a mix of colorful textiles, vintage furniture, and decorative items, creating a visually stimulating environment that complements her lively and expressive demeanor.\n\nBackground Description:\nA room filled with an eclectic mix of objects and decorations. There are colorful woven textiles, a variety of chairs, vintage electronic devices, and vibrant wall decorations. The overall setting is indoors, with artificial lighting that highlights the vivid colors and patterns in the room. The atmosphere is cheerful and artistic, reflecting a curated space of creativity and style.\n\nMain Object Description:\nThe young woman begins seated in a wicker chair, surrounded by colorful decorations. She then stands and interacts with various objects in the room, including a vintage radio and a stack of books. Her movements are graceful and deliberate, emphasizing her interaction with the space. In some frames, she appears in multiple exposures, suggesting movement and a playful, energetic personality. The sequence captures her in various poses, from sitting to standing, often looking directly towards the camera, engaging with the viewer.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What does the young woman interact with while standing in the room?', 'Options': ['A. A wicker chair.', 'B. A vintage radio.', 'C. A stack of books.', 'D. A colorful textile.'], 'Answer': 'B. A vintage radio.'}]"}
	{"clip_id": "2971127.6_KKgUVGYlQr8", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=KKgUVGYlQr8", "video_id": "KKgUVGYlQr8", "width": 1280, "height": 720, "fps": 29.843, "seconds": 62.26, "timestamp": "['00:01:19.340', '00:02:21.600']", "frame_number": 1858, "framestamp": "[2367, 4225]", "file_path": "video_clips/000002971/000002971127.6.mp4", "short_caption": "Two men are driving in a car and discussing the construction of a house.", "dense_caption": "A journey of two men discussing the construction of a house while driving through various locations. Initially, they are seen inside a car, engaged in conversation, with the driver occasionally looking at the passenger while talking. The scene transitions to show a construction site where workers are actively building a house, indicating the topic of their discussion. Subsequent frames depict the men driving through a lush, suburban neighborhood, and finally, they exit the car in front of a large, well-finished house, suggesting a possible connection to their earlier discussion about house construction.", "background_caption": "The video features a variety of backgrounds that complement the narrative of house construction. It starts inside a car, providing a confined, personal space for the discussion. The background shifts to an active construction site, highlighting the early stages of building a house. As the men drive, the background changes to a scenic suburban area with lush greenery and well-maintained streets, ending at a large, elegant house that showcases the potential end result of a construction project.", "main_object_caption": "The main subjects, two men, are first seen inside a car; one is driving while the other engages in conversation, gesturing occasionally to emphasize points. The video then shows a construction site with workers, linking to their discussion. As the journey continues, they drive through a residential area, observing the surroundings. The sequence concludes with the men parking their car and walking towards a large house, continuing their discussion.", "style_caption": "The video utilizes a documentary-style approach with a mix of static and dynamic shots, capturing both intimate conversations and broader contextual settings to narrate the progression of house construction.", "camera_caption": "The camera initially captures the interior of the car with a focus on the men, using a static, front-facing angle that switches between the driver and passenger. The view then changes to an aerial shot of the construction site, providing a comprehensive view of the ongoing work. As they drive through the neighborhood, the camera adopts a forward-facing angle from the car's perspective, transitioning to a handheld style as they exit the car and approach the house, adding a dynamic, personal touch to the final scenes.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'Which woman works as a chef?',\n 'Options': [\n 'A. Diamante.',\n 'B. Carola Ordenes.',\n 'C. Amina.',\n 'D. Ghizlane.'\n ],\n 'Answer': 'A'}\n\n2. {'Q': 'The main character of the video is observing the surface of the moon when he notices a straight line, what is it?',\n 'Options': [\n 'A. Lunar Ridge.',\n 'B. Collapsed lava tubes.',\n 'C. Rift valley systems.',\n 'D. Scratch marks.'\n ],\n 'Answer': 'B'}\n\n3. {'Q': 'What is the main subject matter of the advertisement featured in the video?',\n 'Options': [\n 'A. Audible app.',\n 'B. Music listening app.',\n 'C. Shopping app.',\n 'D. Video online playing app.'\n ],\n 'Answer': 'A'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA journey of two men discussing the construction of a house while driving through various locations. Initially, they are seen inside a car, engaged in conversation, with the driver occasionally looking at the passenger while talking. The scene transitions to show a construction site where workers are actively building a house, indicating the topic of their discussion. Subsequent frames depict the men driving through a lush, suburban neighborhood, and finally, they exit the car in front of a large, well-finished house, suggesting a possible connection to their earlier discussion about house construction.\n\nBackground Description:\nThe video features a variety of backgrounds that complement the narrative of house construction. It starts inside a car, providing a confined, personal space for the discussion. The background shifts to an active construction site, highlighting the early stages of building a house. As the men drive, the background changes to a scenic suburban area with lush greenery and well-maintained streets, ending at a large, elegant house that showcases the potential end result of a construction project.\n\nMain Object Description:\nThe main subjects, two men, are first seen inside a car; one is driving while the other engages in conversation, gesturing occasionally to emphasize points. The video then shows a construction site with workers, linking to their discussion. As the journey continues, they drive through a residential area, observing the surroundings. The sequence concludes with the men parking their car and walking towards a large house, continuing their discussion.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What do the men observe when they drive through the suburban neighborhood?', 'Options': ['A. A busy city street.', 'B. A construction site.', 'C. Lush greenery and well-maintained streets.', 'D. A large, well-finished house.'], 'Answer': 'C'}]"}
	{"clip_id": "1992924.0_fgDRTp4kqDM", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=fgDRTp4kqDM", "video_id": "fgDRTp4kqDM", "width": 1280, "height": 720, "fps": 29.833, "seconds": 44.18, "timestamp": "['00:00:00.000', '00:00:44.180']", "frame_number": 1318, "framestamp": "[0, 1318]", "file_path": "video_clips/000001992/000001992924.0.mp4", "short_caption": "A black background with a quote on it.", "dense_caption": "The video begins with a series of frames featuring a cosmic, visually striking representation of a universe, set against a deep black background. These frames include a glowing celestial body resembling a planet, surrounded by stars and nebulae, enhancing the theme of vastness and exploration. Text overlays in these initial frames introduce the concept of expanding one's consciousness, attributed to a specific source and promoting a website. The video transitions to a more personal setting where an individual, presumably a coach or counselor, is introduced. This part of the video shifts to a home office environment where the counselor is seated, surrounded by books and personal decor, indicating a professional yet intimate atmosphere for guidance and personal growth.", "background_caption": " the first part has a cosmic, space-themed background with visually rich graphics of a universe, designed to evoke a sense of wonder and possibility. The second part of the video shows an indoor setting, specifically a home office richly decorated with books, statues, and personal items, creating a warm and inviting atmosphere conducive to thoughtful discussion and counseling.", "main_object_caption": "Initially, the main subjects are the celestial visuals and text that convey messages of personal development and an invitation to explore further content. As the video progresses, the focus shifts to a human subject, a counselor, who appears seated in a home office. The counselor's environment is calm and scholarly, suggesting a session of learning or consultation is about to take place or is in progress.", "style_caption": "The video combines ethereal cosmic imagery with a serene, professional indoor setting, using static shots to focus on thematic content and personal interaction.", "camera_caption": "The video maintains a static camera angle in the frames featuring the cosmic visuals, focusing on the text and the moving graphics to hold the viewer's attention. In the frames featuring the counselor, the camera remains fixed, focusing on the subject to emphasize stability and attention to the dialogue or the content being presented.", "clip_position": "be", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What item is not used to decorate the Christmas tree?',\n 'Options': [\n 'A. Red balls.',\n 'B. Lights.',\n 'C. Green stars.',\n 'D. Icicles.'\n ],\n 'Answer': 'C. Green stars.'}\n\n2. {'Q': 'Which ingredient is not used in the video?',\n 'Options': [\n 'A. Hot glue.',\n 'B. Pieces of burlap.',\n 'C. Florals.',\n 'D. Plastic bottles.'\n ],\n 'Answer': 'D'}\n\n3. {'Q': 'What card does the male judge pick?',\n 'Options': [\n 'A. 2 of spades.',\n 'B. 2 of diamonds.',\n 'C. 2 of hearts.',\n 'D. 2 of clubs.'\n ],\n 'Answer': 'A'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nThe video begins with a series of frames featuring a cosmic, visually striking representation of a universe, set against a deep black background. These frames include a glowing celestial body resembling a planet, surrounded by stars and nebulae, enhancing the theme of vastness and exploration. Text overlays in these initial frames introduce the concept of expanding one's consciousness, attributed to a specific source and promoting a website. The video transitions to a more personal setting where an individual, presumably a coach or counselor, is introduced. This part of the video shifts to a home office environment where the counselor is seated, surrounded by books and personal decor, indicating a professional yet intimate atmosphere for guidance and personal growth.\n\nBackground Description:\n the first part has a cosmic, space-themed background with visually rich graphics of a universe, designed to evoke a sense of wonder and possibility. The second part of the video shows an indoor setting, specifically a home office richly decorated with books, statues, and personal items, creating a warm and inviting atmosphere conducive to thoughtful discussion and counseling.\n\nMain Object Description:\nInitially, the main subjects are the celestial visuals and text that convey messages of personal development and an invitation to explore further content. As the video progresses, the focus shifts to a human subject, a counselor, who appears seated in a home office. The counselor's environment is calm and scholarly, suggesting a session of learning or consultation is about to take place or is in progress.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What object in the home office suggests the counselor's profession and the scholarly nature of the environment?',\n 'Options': [\n 'A. A telescope.',\n 'B. A whiteboard.',\n 'C. Books.',\n 'D. A microscope.'\n ],\n 'Answer': 'C. Books.'}]"}
	{"clip_id": "2528322.1_YcY_2hIqplk", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=YcY_2hIqplk", "video_id": "YcY_2hIqplk", "width": 1280, "height": 720, "fps": 29.935, "seconds": 42.091, "timestamp": "['00:00:12.599', '00:00:54.690']", "frame_number": 1260, "framestamp": "[360, 1620]", "file_path": "video_clips/000002528/000002528322.1.mp4", "short_caption": "A soccer game is being played on a field with a large crowd of people watching.", "dense_caption": "A soccer match between two teams, presumably USA and Portugal, as indicated by the scoreboard and team uniforms. The sequence begins with a team photo of the USA team, followed by a scene showing players in action on the field. The video includes moments such as the referee and a player from Portugal preparing for the start of the game, a close-up of a goalkeeper catching the ball, and dynamic gameplay showing players intensely competing for the ball. The crowd, visible in the background, adds to the lively atmosphere of the match.", "background_caption": "The soccer match takes place in a stadium filled with spectators. Various advertising banners (e.g., Visa, McDonald's) are visible around the field, indicating commercial sponsorships. The weather appears to be clear and sunny, contributing to the bright and vibrant visuals of the video. The time of day seems to be late afternoon, as suggested by the long shadows cast on the field.", "main_object_caption": "The soccer players and the referee. Initially, the USA team is seen posing for a team photo. Subsequently, the referee and a Portuguese player are shown in the center of the field, ready to start the game. The action shifts to various parts of the field showing players running, passing the ball, and engaging in defensive and offensive maneuvers. One frame highlights the goalkeeper in action, making a save. The sequence captures the fluid and fast-paced nature of the game.", "style_caption": "The video features a high-definition, vibrant visual style with dynamic camera work that effectively captures the fast-paced and energetic atmosphere of a professional soccer match.", "camera_caption": "The video utilizes multiple camera angles to capture the action. It starts with a close-up group shot, moves to a mid-range shot for the kickoff, and includes wide shots of the field to follow the gameplay. Close-up shots are used to focus on key moments like the goalkeeper's save. The camera dynamically switches between these angles to maintain an engaging view of the ongoing match and to highlight important moments and players.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What sport are the two teams of athletes playing?',\n 'Options': [\n 'A. Ice hockey.',\n 'B. Soccer.',\n 'C. Rugby.',\n 'D. Basketball.'\n ],\n 'Answer': 'C'}\n\n2. {'Q': 'What item is not used to decorate the Christmas tree?',\n 'Options': [\n 'A. Red balls.',\n 'B. Lights.',\n 'C. Green stars.',\n 'D. Icicles.'\n ],\n 'Answer': 'C. Green stars.'}\n\n3. {'Q': 'Which team in the video reached the finish line first?',\n 'Options': [\n 'A. USA team.',\n 'B. Canadian team.',\n 'C. Ghana team.',\n 'D. South Africa team.'\n ],\n 'Answer': 'B'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA soccer match between two teams, presumably USA and Portugal, as indicated by the scoreboard and team uniforms. The sequence begins with a team photo of the USA team, followed by a scene showing players in action on the field. The video includes moments such as the referee and a player from Portugal preparing for the start of the game, a close-up of a goalkeeper catching the ball, and dynamic gameplay showing players intensely competing for the ball. The crowd, visible in the background, adds to the lively atmosphere of the match.\n\nBackground Description:\nThe soccer match takes place in a stadium filled with spectators. Various advertising banners (e.g., Visa, McDonald's) are visible around the field, indicating commercial sponsorships. The weather appears to be clear and sunny, contributing to the bright and vibrant visuals of the video. The time of day seems to be late afternoon, as suggested by the long shadows cast on the field.\n\nMain Object Description:\nThe soccer players and the referee. Initially, the USA team is seen posing for a team photo. Subsequently, the referee and a Portuguese player are shown in the center of the field, ready to start the game. The action shifts to various parts of the field showing players running, passing the ball, and engaging in defensive and offensive maneuvers. One frame highlights the goalkeeper in action, making a save. The sequence captures the fluid and fast-paced nature of the game.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What does the goalkeeper do when the ball is kicked towards the goal?', 'Options': ['A. Kicks the ball away.', 'B. Catches the ball.', 'C. Dives to the side.', 'D. Runs towards the ball.'], 'Answer': 'B. Catches the ball.'}]"}
	{"clip_id": "1989419.0_etqdn8A6gS8", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=etqdn8A6gS8", "video_id": "etqdn8A6gS8", "width": 1280, "height": 720, "fps": 24.874, "seconds": 71.361, "timestamp": "['00:01:02.239', '00:02:13.600']", "frame_number": 1775, "framestamp": "[1550, 3325]", "file_path": "video_clips/000001989/000001989419.0.mp4", "short_caption": "Two people playing a game of squash on a court.", "dense_caption": "An intense squash match between two players on a professional court. The players, dressed in athletic gear, exhibit a high level of skill and agility as they energetically move around the court, striking the ball with precision. The match takes place in a well-lit indoor arena, with a sizable audience in the background, indicating the significance of the event. Throughout the video, the players engage in a series of rapid exchanges, showcasing their competitive spirit and physical prowess, with the scoreboard occasionally visible, reflecting the progress of the game.", "background_caption": "A professional squash court with a blue and black color scheme, prominently displaying sponsorship logos. The court is enclosed in a glass box, allowing the audience, seated around and above the court, a clear view of the match. The setting suggests a night event, given the indoor lighting and the visibility of the audience focused on the match.", "main_object_caption": "The two players, one wearing a white shirt and the other in green, are seen actively competing. They display a range of movements including sprinting, lunging, and swift racket swings. Their interaction with the ball involves strategic hits aimed at outmaneuvering each other, with moments where they pause to strategize or react to the score. The intensity of their actions varies, reflecting the changing dynamics of the game as they each score points.", "style_caption": "The video features a high-definition, dynamic visual style with sharp, clear images and fluid camera movements that enhance the viewer's engagement with the fast-paced squash match.", "camera_caption": "The video utilizes multiple camera angles to capture the fast-paced action, including wide shots that encompass the entire court, and closer shots that focus on the players' expressions and detailed movements. The camera dynamically switches perspectives, sometimes following the ball, other times focusing on the player's reactions, providing a comprehensive view of the match's intensity.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'Which woman works as a chef?',\n 'Options': [\n 'A. Diamante.',\n 'B. Carola Ordenes.',\n 'C. Amina.',\n 'D. Ghizlane.'\n ],\n 'Answer': 'A'}\n\n2. {'Q': 'Who finally find the lost city?',\n 'Options': [\n 'A. Terra preta.',\n 'B. Fawcett.',\n 'C. European expeditions.',\n 'D. Dr.Michael Heckenberger.'\n ],\n 'Answer': 'D. Dr.Michael Heckenberger.'}\n\n3. {'Q': 'What country's practice game is this?',\n 'Options': [\n 'A. UK.',\n 'B. USA.',\n 'C. Canada.',\n 'D. Australia.'\n ],\n 'Answer': 'B. USA.'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nAn intense squash match between two players on a professional court. The players, dressed in athletic gear, exhibit a high level of skill and agility as they energetically move around the court, striking the ball with precision. The match takes place in a well-lit indoor arena, with a sizable audience in the background, indicating the significance of the event. Throughout the video, the players engage in a series of rapid exchanges, showcasing their competitive spirit and physical prowess, with the scoreboard occasionally visible, reflecting the progress of the game.\n\nBackground Description:\nA professional squash court with a blue and black color scheme, prominently displaying sponsorship logos. The court is enclosed in a glass box, allowing the audience, seated around and above the court, a clear view of the match. The setting suggests a night event, given the indoor lighting and the visibility of the audience focused on the match.\n\nMain Object Description:\nThe two players, one wearing a white shirt and the other in green, are seen actively competing. They display a range of movements including sprinting, lunging, and swift racket swings. Their interaction with the ball involves strategic hits aimed at outmaneuvering each other, with moments where they pause to strategize or react to the score. The intensity of their actions varies, reflecting the changing dynamics of the game as they each score points.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What color is the shirt of the player who lunges to hit the ball during a strategic moment?', 'Options': ['A. White', 'B. Green', 'C. Blue', 'D. Black'], 'Answer': 'A. White'}]"}
	{"clip_id": "1171221.0_mLu3_p4g-Qo", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=mLu3_p4g-Qo", "video_id": "mLu3_p4g-Qo", "width": 1280, "height": 720, "fps": 24.991, "seconds": 113.04, "timestamp": "['00:02:06.159', '00:03:59.199']", "frame_number": 2825, "framestamp": "[3150, 5975]", "file_path": "video_clips/000001171/000001171221.0.mp4", "short_caption": "A car is driving on a winding road in the countryside, passing by trees and fields.", "dense_caption": "A dynamic journey of a luxurious car driving through diverse countryside landscapes. Initially, the car is seen from the side, gliding smoothly along a road bordered by lush green forests, showcasing its sleek, polished exterior and distinctive design features such as the logo and wheel rims. The perspective then shifts inside the car, focusing on the high-quality interior, emphasizing the detailed stitching and branding on the leather seats. As the journey continues, the car maneuvers along winding roads, passing serene fields and quaint rural settings, demonstrating its agility and performance. The video concludes with the car navigating a more structured environment, possibly a racing track, highlighting its sporty capabilities and advanced engineering.", "background_caption": "The video's background varies from lush green forests and serene countryside landscapes with fields and trees to a more controlled racing track environment. The rural roads are narrow and winding, lined with greenery and occasional structures, reflecting a peaceful, natural setting. The weather appears mildly overcast, providing soft lighting that enhances the visual appeal of the scenes.", "main_object_caption": "A high-end sports car, is depicted in various driving scenarios. It starts on a forest-lined road, showcasing its elegant side profile. Inside, the focus is on the luxurious interior, particularly the leather seats with prominent stitching and embossed branding. The car then transitions to driving through open countryside roads, navigating curves with ease, and finally, it is shown on a racing track, emphasizing its performance and handling capabilities.", "style_caption": "The video features a high-definition, cinematic style with a focus on dynamic movement and detailed texture, utilizing natural lighting and varied camera angles to emphasize the luxury and performance of the car in a picturesque setting.", "camera_caption": "The video employs a mix of static and dynamic shots with smooth transitions. It begins with a lateral view of the moving car, then shifts to an interior shot focusing on details, followed by front and rear views of the car driving along country roads and a racing track. The camera angles vary from close-ups that highlight the car's details to wide shots that capture the car's interaction with its surroundings, effectively conveying a sense of motion and speed.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What kind of chess are the old people in the video playing?',\n 'Options': [\n 'A. Mahjong.',\n 'B. Go.',\n 'C. Chinese chess.',\n 'D. Five-in-a-row.'\n ],\n 'Answer': 'C. Chinese chess.'}\n\n2. {'Q': 'Which cellular structure is responsible for receiving proteins according to the video?',\n 'Options': [\n 'A. Golgi apparatus (Golgi body).',\n 'B. Nucleus.',\n 'C. Ribosome.',\n 'D. Mitochondrion.'\n ],\n 'Answer': 'A. Golgi apparatus (Golgi body).'}\n\n3. {'Q': 'Which ingredient is not used in the video?',\n 'Options': [\n 'A. Hot glue.',\n 'B. Pieces of burlap.',\n 'C. Florals.',\n 'D. Plastic bottles.'\n ],\n 'Answer': 'D'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA dynamic journey of a luxurious car driving through diverse countryside landscapes. Initially, the car is seen from the side, gliding smoothly along a road bordered by lush green forests, showcasing its sleek, polished exterior and distinctive design features such as the logo and wheel rims. The perspective then shifts inside the car, focusing on the high-quality interior, emphasizing the detailed stitching and branding on the leather seats. As the journey continues, the car maneuvers along winding roads, passing serene fields and quaint rural settings, demonstrating its agility and performance. The video concludes with the car navigating a more structured environment, possibly a racing track, highlighting its sporty capabilities and advanced engineering.\n\nBackground Description:\nThe video's background varies from lush green forests and serene countryside landscapes with fields and trees to a more controlled racing track environment. The rural roads are narrow and winding, lined with greenery and occasional structures, reflecting a peaceful, natural setting. The weather appears mildly overcast, providing soft lighting that enhances the visual appeal of the scenes.\n\nMain Object Description:\nA high-end sports car, is depicted in various driving scenarios. It starts on a forest-lined road, showcasing its elegant side profile. Inside, the focus is on the luxurious interior, particularly the leather seats with prominent stitching and embossed branding. The car then transitions to driving through open countryside roads, navigating curves with ease, and finally, it is shown on a racing track, emphasizing its performance and handling capabilities.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What distinctive feature of the car is highlighted when it is first shown on the forest-lined road?', 'Options': ['A. The car\u2019s racing stripes.', 'B. The car\u2019s logo and wheel rims.', 'C. The car\u2019s tinted windows.', 'D. The car\u2019s exhaust pipes.'], 'Answer': 'B. The car\u2019s logo and wheel rims.'}]"}
	{"clip_id": "2508185.1_U5iBoK5kF8A", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=U5iBoK5kF8A", "video_id": "U5iBoK5kF8A", "width": 1280, "height": 720, "fps": 29.366, "seconds": 49.989, "timestamp": "['00:00:53.760', '00:01:43.749']", "frame_number": 1468, "framestamp": "[1588, 3056]", "file_path": "video_clips/000002508/000002508185.1.mp4", "short_caption": "A group of pirates are walking through a jungle and attacking a village.", "dense_caption": "A dramatic sequence where a group of pirates, clad in traditional pirate attire such as tricorn hats and long coats, navigate through a dense jungle before raiding a tropical village at night. Initially, the pirates are seen engaging in combat with villagers amidst the flickering lights of torches and a bonfire, highlighting the chaos of the attack. As the scene progresses, the focus shifts to the pirates moving stealthily through the lush, moonlit jungle, showcasing their strategic retreat or advance deeper into the island. The video concludes with the pirates regrouping and cautiously proceeding through the dense foliage, suggesting a continuation of their perilous journey or perhaps an escape.", "background_caption": "The video is set in a tropical environment, featuring a small village with thatched huts, barrels, baskets, and a bonfire, creating a rustic and chaotic atmosphere during the night raid. The scene then shifts to a dense jungle with thick foliage, hanging vines, and dim natural lighting, enhanced by the moonlight filtering through the trees, which adds a mysterious and foreboding aura to the setting.", "main_object_caption": "The pirates are initially engaged in aggressive interactions with the villagers, using swords and pistols, amidst the makeshift structures of the village. Following the skirmish, they retreat into the jungle, moving with caution and readiness, weapons in hand, under the cover of night and dense vegetation. Their actions transition from overt aggression to stealthy navigation, indicating a tactical change in their approach as they move deeper into the jungle.", "style_caption": "The video employs a cinematic style with a high contrast lighting scheme, rich color saturation, and dynamic camera movements to vividly portray the dramatic and suspenseful night-time raid and escape of pirates in a tropical setting.", "camera_caption": "The camera work includes dynamic angles that capture the intensity of the combat and the strategic movements of the pirates. Close-up shots during the fight scenes emphasize the expressions and actions of the characters, while wider shots reveal the layout of the village and the jungle. As the pirates move into the jungle, the camera switches to a lower angle, following them from behind, which immerses the viewer in their stealthy trek through the dense undergrowth.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What sport are the two teams of athletes playing?',\n 'Options': [\n 'A. Ice hockey.',\n 'B. Soccer.',\n 'C. Rugby.',\n 'D. Basketball.'\n ],\n 'Answer': 'C'}\n\n2. {'Q': 'Which cellular structure is responsible for receiving proteins according to the video?',\n 'Options': [\n 'A. Golgi apparatus (Golgi body).',\n 'B. Nucleus.',\n 'C. Ribosome.',\n 'D. Mitochondrion.'\n ],\n 'Answer': 'A. Golgi apparatus (Golgi body).'}\n\n3. {'Q': 'The main character of the video is observing the surface of the moon when he notices a straight line, what is it?',\n 'Options': [\n 'A. Lunar Ridge.',\n 'B. Collapsed lava tubes.',\n 'C. Rift valley systems.',\n 'D. Scratch marks.'\n ],\n 'Answer': 'B'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA dramatic sequence where a group of pirates, clad in traditional pirate attire such as tricorn hats and long coats, navigate through a dense jungle before raiding a tropical village at night. Initially, the pirates are seen engaging in combat with villagers amidst the flickering lights of torches and a bonfire, highlighting the chaos of the attack. As the scene progresses, the focus shifts to the pirates moving stealthily through the lush, moonlit jungle, showcasing their strategic retreat or advance deeper into the island. The video concludes with the pirates regrouping and cautiously proceeding through the dense foliage, suggesting a continuation of their perilous journey or perhaps an escape.\n\nBackground Description:\nThe video is set in a tropical environment, featuring a small village with thatched huts, barrels, baskets, and a bonfire, creating a rustic and chaotic atmosphere during the night raid. The scene then shifts to a dense jungle with thick foliage, hanging vines, and dim natural lighting, enhanced by the moonlight filtering through the trees, which adds a mysterious and foreboding aura to the setting.\n\nMain Object Description:\nThe pirates are initially engaged in aggressive interactions with the villagers, using swords and pistols, amidst the makeshift structures of the village. Following the skirmish, they retreat into the jungle, moving with caution and readiness, weapons in hand, under the cover of night and dense vegetation. Their actions transition from overt aggression to stealthy navigation, indicating a tactical change in their approach as they move deeper into the jungle.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What weapon do the pirates use during their initial engagement with the villagers?', 'Options': ['A. Spears.', 'B. Swords.', 'C. Bows and arrows.', 'D. Clubs.'], 'Answer': 'B'}]"}

	{"clip_id": "1527729.5_2Ew_qX3AHxA", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=2Ew_qX3AHxA", "video_id": "2Ew_qX3AHxA", "width": 1280, "height": 720, "fps": 29.999, "seconds": 57.001, "timestamp": "['00:00:59.129', '00:01:56.130']", "frame_number": 1710, "framestamp": "[1770, 3480]", "file_path": "video_clips/000001527/000001527729.5.mp4", "short_caption": "A person is holding a blue wire in their hand.", "dense_caption": "A close-up sequence of a person handling a blue wire. Initially, the wire is partially visible as the person grips it firmly with their fingers. The setting appears to be indoors, possibly a workshop or a home environment, suggested by the casual attire of the person and the domestic textures in the background. As the video progresses, the person manipulates the wire, possibly preparing it for some electrical or crafting task. The focus remains tight on the hands and the wire, emphasizing the action and the object being handled.", "background_caption": "Blurred and indistinct, focusing attention on the hands and the wire. Elements of a casual shirt and what might be a part of a domestic setting, such as a countertop, are visible. The environment suggests an indoor setting with artificial lighting, providing a clear view of the wire and the hands without any distractions from the background.", "main_object_caption": "A person whose gender is not specified, is seen handling a blue wire. The video starts with the wire being grasped and maneuvered between the person's fingers. The person's hands are the central focus, showing actions such as twisting, holding, and adjusting the wire. Throughout the sequence, the person's actions suggest a preparation or modification process involving the wire.", "style_caption": "The video employs a documentary-style close-up, with a static camera focusing on detailed manual activity, highlighted by clear, artificial lighting and a shallow depth of field to keep the attention on the subject's hands and the object.", "camera_caption": "The camera maintains a close-up shot throughout the sequence, focusing primarily on the hands and the wire. There is minimal camera movement, with slight adjustments to keep the hands centrally framed as they move. The angle is consistent, providing a direct view of the actions being performed, enhancing the viewer's understanding of the manipulation of the wire.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'Which team in the video reached the finish line first?',\n 'Options': [\n 'A. USA team.',\n 'B. Canadian team.',\n 'C. Ghana team.',\n 'D. South Africa team.'\n ],\n 'Answer': 'B'}\n\n2. {'Q': 'The main character of the video is observing the surface of the moon when he notices a straight line, what is it?',\n 'Options': [\n 'A. Lunar Ridge.',\n 'B. Collapsed lava tubes.',\n 'C. Rift valley systems.',\n 'D. Scratch marks.'\n ],\n 'Answer': 'B'}\n\n3. {'Q': 'What item is not used to decorate the Christmas tree?',\n 'Options': [\n 'A. Red balls.',\n 'B. Lights.',\n 'C. Green stars.',\n 'D. Icicles.'\n ],\n 'Answer': 'C. Green stars.'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA close-up sequence of a person handling a blue wire. Initially, the wire is partially visible as the person grips it firmly with their fingers. The setting appears to be indoors, possibly a workshop or a home environment, suggested by the casual attire of the person and the domestic textures in the background. As the video progresses, the person manipulates the wire, possibly preparing it for some electrical or crafting task. The focus remains tight on the hands and the wire, emphasizing the action and the object being handled.\n\nBackground Description:\nBlurred and indistinct, focusing attention on the hands and the wire. Elements of a casual shirt and what might be a part of a domestic setting, such as a countertop, are visible. The environment suggests an indoor setting with artificial lighting, providing a clear view of the wire and the hands without any distractions from the background.\n\nMain Object Description:\nA person whose gender is not specified, is seen handling a blue wire. The video starts with the wire being grasped and maneuvered between the person's fingers. The person's hands are the central focus, showing actions such as twisting, holding, and adjusting the wire. Throughout the sequence, the person's actions suggest a preparation or modification process involving the wire.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What color is the wire that the person is handling in the video?', 'Options': ['A. Red', 'B. Blue', 'C. Green', 'D. Black'], 'Answer': 'B'}]"}
	{"clip_id": "1527729.9_2Ew_qX3AHxA", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=2Ew_qX3AHxA", "video_id": "2Ew_qX3AHxA", "width": 1280, "height": 720, "fps": 29.605, "seconds": 42.56, "timestamp": "['00:02:39.690', '00:03:22.250']", "frame_number": 1260, "framestamp": "[4770, 6030]", "file_path": "video_clips/000001527/000001527729.9.mp4", "short_caption": "A person is holding a black wire in their hand.", "dense_caption": "A close-up sequence of a person's hand interacting with a black wire. Initially, the wire appears frayed at the end, with individual strands splayed outwards. The person's hand, adorned with a ring, manipulates the wire, possibly stripping or adjusting it. As the video progresses, the wire is manipulated further, with the person's fingers twisting or arranging the strands, potentially in preparation for an electrical connection or repair.", "background_caption": "Mostly blurred and indistinct, suggesting a shallow depth of field focused on the hand and wire. However, some objects that resemble bags or cluttered materials can be seen, implying an indoor setting, possibly a workspace or an area where electrical or technical work is being conducted.", "main_object_caption": "A person's hand, is the focus of the video. The hand is seen holding and manipulating a black wire with frayed ends. The actions include pinching, twisting, and adjusting the wire, suggesting a process of preparing the wire for use. The hand moves with precision, indicating a task that requires dexterity and attention to detail.", "style_caption": "The visual style is characterized by a close-up, detailed focus with a shallow depth of field, highlighting the intricacies of the manual task being performed.", "camera_caption": "The camera remains tightly focused on the hand and wire throughout the sequence, maintaining a close-up view that follows the hand's movements. There is minimal camera movement, with slight adjustments to keep the hand and wire in frame as the person works with them. The shooting angle is consistent, emphasizing the fine motor skills involved in the task.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What country's practice game is this?',\n 'Options': [\n 'A. UK.',\n 'B. USA.',\n 'C. Canada.',\n 'D. Australia.'\n ],\n 'Answer': 'B. USA.'}\n\n2. {'Q': 'Which team in the video reached the finish line first?',\n 'Options': [\n 'A. USA team.',\n 'B. Canadian team.',\n 'C. Ghana team.',\n 'D. South Africa team.'\n ],\n 'Answer': 'B'}\n\n3. {'Q': 'What sport are the two teams of athletes playing?',\n 'Options': [\n 'A. Ice hockey.',\n 'B. Soccer.',\n 'C. Rugby.',\n 'D. Basketball.'\n ],\n 'Answer': 'C'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA close-up sequence of a person's hand interacting with a black wire. Initially, the wire appears frayed at the end, with individual strands splayed outwards. The person's hand, adorned with a ring, manipulates the wire, possibly stripping or adjusting it. As the video progresses, the wire is manipulated further, with the person's fingers twisting or arranging the strands, potentially in preparation for an electrical connection or repair.\n\nBackground Description:\nMostly blurred and indistinct, suggesting a shallow depth of field focused on the hand and wire. However, some objects that resemble bags or cluttered materials can be seen, implying an indoor setting, possibly a workspace or an area where electrical or technical work is being conducted.\n\nMain Object Description:\nA person's hand, is the focus of the video. The hand is seen holding and manipulating a black wire with frayed ends. The actions include pinching, twisting, and adjusting the wire, suggesting a process of preparing the wire for use. The hand moves with precision, indicating a task that requires dexterity and attention to detail.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What is the person's hand doing with the black wire?', 'Options': ['A. Cutting the wire.', 'B. Stripping or adjusting the wire.', 'C. Tying the wire into a knot.', 'D. Painting the wire.'], 'Answer': 'B. Stripping or adjusting the wire.'}]"}
	{"clip_id": "1474088.5_r8AH2oTYL-8", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=r8AH2oTYL-8", "video_id": "r8AH2oTYL-8", "width": 1280, "height": 720, "fps": 29.745, "seconds": 112.96, "timestamp": "['00:01:13.710', '00:03:06.670']", "frame_number": 3360, "framestamp": "[2190, 5550]", "file_path": "video_clips/000001474/000001474088.5.mp4", "short_caption": "A man is using a shovel and a wheelbarrow to move compost in a garden.", "dense_caption": "A man engaged in the process of composting in a lush, well-tended garden. He is dressed in a light green shirt, blue jeans, and wears a wide-brimmed straw hat, suggesting a warm, sunny day. Initially, he is seen shoveling dark, rich compost from a pile into a blue wheelbarrow. As the video progresses, he methodically transfers kitchen waste and other organic materials into a compost bin, mixing and turning the contents with a shovel. The sequence highlights the practical steps of sustainable gardening, emphasizing the recycling of organic waste back into the soil.", "background_caption": "Features a densely planted garden with a variety of plants and trees, indicating a rich, biodiverse environment. Various gardening implements and containers are scattered around, showing an active gardening site. The weather is sunny, casting sharp shadows and highlighting the vibrant greenery of the garden.", "main_object_caption": "A man, is actively involved in composting tasks. He starts by shoveling compost into a wheelbarrow, then moves to depositing kitchen scraps and other decomposables into a compost bin. Throughout, he uses a shovel for mixing and aerating the compost, demonstrating a methodical and efficient approach to maintaining the compost's health and promoting decomposition.", "style_caption": "The video employs a clear, straightforward documentary style with sharp focus and natural lighting to highlight the practical aspects of home composting in a personal garden setting.", "camera_caption": "The camera maintains a steady, eye-level perspective throughout the sequence, focusing closely on the actions of the man and the immediate surroundings. The shots are framed to emphasize the subject's interactions with the compost and the wheelbarrow, with minimal camera movement, likely mounted on a tripod or held steady to capture the detailed activities without distraction.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'The main character of the video is observing the surface of the moon when he notices a straight line, what is it?',\n 'Options': [\n 'A. Lunar Ridge.',\n 'B. Collapsed lava tubes.',\n 'C. Rift valley systems.',\n 'D. Scratch marks.'\n ],\n 'Answer': 'B'}\n\n2. {'Q': 'What kind of chess are the old people in the video playing?',\n 'Options': [\n 'A. Mahjong.',\n 'B. Go.',\n 'C. Chinese chess.',\n 'D. Five-in-a-row.'\n ],\n 'Answer': 'C. Chinese chess.'}\n\n3. {'Q': 'Who finally find the lost city?',\n 'Options': [\n 'A. Terra preta.',\n 'B. Fawcett.',\n 'C. European expeditions.',\n 'D. Dr.Michael Heckenberger.'\n ],\n 'Answer': 'D. Dr.Michael Heckenberger.'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA man engaged in the process of composting in a lush, well-tended garden. He is dressed in a light green shirt, blue jeans, and wears a wide-brimmed straw hat, suggesting a warm, sunny day. Initially, he is seen shoveling dark, rich compost from a pile into a blue wheelbarrow. As the video progresses, he methodically transfers kitchen waste and other organic materials into a compost bin, mixing and turning the contents with a shovel. The sequence highlights the practical steps of sustainable gardening, emphasizing the recycling of organic waste back into the soil.\n\nBackground Description:\nFeatures a densely planted garden with a variety of plants and trees, indicating a rich, biodiverse environment. Various gardening implements and containers are scattered around, showing an active gardening site. The weather is sunny, casting sharp shadows and highlighting the vibrant greenery of the garden.\n\nMain Object Description:\nA man, is actively involved in composting tasks. He starts by shoveling compost into a wheelbarrow, then moves to depositing kitchen scraps and other decomposables into a compost bin. Throughout, he uses a shovel for mixing and aerating the compost, demonstrating a methodical and efficient approach to maintaining the compost's health and promoting decomposition.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What tool does the man use to mix and turn the contents of the compost bin?', 'Options': ['A. Rake', 'B. Shovel', 'C. Pitchfork', 'D. Hoe'], 'Answer': 'B'}]"}
	{"clip_id": "1794665.12_z3VfdVfw7CY", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=z3VfdVfw7CY", "video_id": "z3VfdVfw7CY", "width": 1280, "height": 720, "fps": 29.564, "seconds": 46.61, "timestamp": "['00:02:10.160', '00:02:56.770']", "frame_number": 1378, "framestamp": "[3896, 5274]", "file_path": "video_clips/000001794/000001794665.12.mp4", "short_caption": "A young woman is sitting on a chair in a room with a colorful background she is wearing pink pants and a white shirt, and there is a wicker chair in the room.", "dense_caption": "The video features a young woman in a vibrant and eclectic room, engaging with her surroundings in a series of dynamic poses and movements. She is dressed in pink pants and a white shirt, accessorized with a red scarf and colorful bracelets, adding a playful and stylish element to her ensemble. Throughout the video, she transitions between different poses and interactions with objects in the room, such as sitting in a wicker chair, standing, and moving around. The room is decorated with a mix of colorful textiles, vintage furniture, and decorative items, creating a visually stimulating environment that complements her lively and expressive demeanor.", "background_caption": "A room filled with an eclectic mix of objects and decorations. There are colorful woven textiles, a variety of chairs, vintage electronic devices, and vibrant wall decorations. The overall setting is indoors, with artificial lighting that highlights the vivid colors and patterns in the room. The atmosphere is cheerful and artistic, reflecting a curated space of creativity and style.", "main_object_caption": "The young woman begins seated in a wicker chair, surrounded by colorful decorations. She then stands and interacts with various objects in the room, including a vintage radio and a stack of books. Her movements are graceful and deliberate, emphasizing her interaction with the space. In some frames, she appears in multiple exposures, suggesting movement and a playful, energetic personality. The sequence captures her in various poses, from sitting to standing, often looking directly towards the camera, engaging with the viewer.", "style_caption": "The video showcases a vibrant and eclectic visual style, characterized by saturated colors, playful patterns, and dynamic compositions that emphasize movement and interaction.", "camera_caption": "The camera work in the video is dynamic, with changes in angles and perspectives that add to the lively feel of the footage. It includes straight-on shots, close-ups, and wide angles that encompass the entire setting. The camera occasionally uses effects like multiple exposures to convey motion and energy. There is minimal camera movement, focusing instead on the woman's movements within the frame to keep the viewer engaged.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What item is not used to decorate the Christmas tree?',\n 'Options': [\n 'A. Red balls.',\n 'B. Lights.',\n 'C. Green stars.',\n 'D. Icicles.'\n ],\n 'Answer': 'C. Green stars.'}\n\n2. {'Q': 'According to the video, which team ultimately won?',\n 'Options': [\n 'A. China.',\n 'B. Italy.',\n 'C. USA.',\n 'D. France.'\n ],\n 'Answer': 'A'}\n\n3. {'Q': 'What is the identity of the athlete in the video who committed fouls on all attempts except the first one?',\n 'Options': [\n 'A. He is an athlete of the Chinese team.',\n 'B. He is an athlete of the Jamaican team.',\n 'C. He is a neutral individual athlete.',\n 'D. It is not mentioned in the video.'\n ],\n 'Answer': 'C. He is a neutral individual athlete.'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nThe video features a young woman in a vibrant and eclectic room, engaging with her surroundings in a series of dynamic poses and movements. She is dressed in pink pants and a white shirt, accessorized with a red scarf and colorful bracelets, adding a playful and stylish element to her ensemble. Throughout the video, she transitions between different poses and interactions with objects in the room, such as sitting in a wicker chair, standing, and moving around. The room is decorated with a mix of colorful textiles, vintage furniture, and decorative items, creating a visually stimulating environment that complements her lively and expressive demeanor.\n\nBackground Description:\nA room filled with an eclectic mix of objects and decorations. There are colorful woven textiles, a variety of chairs, vintage electronic devices, and vibrant wall decorations. The overall setting is indoors, with artificial lighting that highlights the vivid colors and patterns in the room. The atmosphere is cheerful and artistic, reflecting a curated space of creativity and style.\n\nMain Object Description:\nThe young woman begins seated in a wicker chair, surrounded by colorful decorations. She then stands and interacts with various objects in the room, including a vintage radio and a stack of books. Her movements are graceful and deliberate, emphasizing her interaction with the space. In some frames, she appears in multiple exposures, suggesting movement and a playful, energetic personality. The sequence captures her in various poses, from sitting to standing, often looking directly towards the camera, engaging with the viewer.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What does the young woman interact with while standing in the room?', 'Options': ['A. A wicker chair.', 'B. A vintage radio.', 'C. A stack of books.', 'D. A colorful textile.'], 'Answer': 'B. A vintage radio.'}]"}
	{"clip_id": "2971127.6_KKgUVGYlQr8", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=KKgUVGYlQr8", "video_id": "KKgUVGYlQr8", "width": 1280, "height": 720, "fps": 29.843, "seconds": 62.26, "timestamp": "['00:01:19.340', '00:02:21.600']", "frame_number": 1858, "framestamp": "[2367, 4225]", "file_path": "video_clips/000002971/000002971127.6.mp4", "short_caption": "Two men are driving in a car and discussing the construction of a house.", "dense_caption": "A journey of two men discussing the construction of a house while driving through various locations. Initially, they are seen inside a car, engaged in conversation, with the driver occasionally looking at the passenger while talking. The scene transitions to show a construction site where workers are actively building a house, indicating the topic of their discussion. Subsequent frames depict the men driving through a lush, suburban neighborhood, and finally, they exit the car in front of a large, well-finished house, suggesting a possible connection to their earlier discussion about house construction.", "background_caption": "The video features a variety of backgrounds that complement the narrative of house construction. It starts inside a car, providing a confined, personal space for the discussion. The background shifts to an active construction site, highlighting the early stages of building a house. As the men drive, the background changes to a scenic suburban area with lush greenery and well-maintained streets, ending at a large, elegant house that showcases the potential end result of a construction project.", "main_object_caption": "The main subjects, two men, are first seen inside a car; one is driving while the other engages in conversation, gesturing occasionally to emphasize points. The video then shows a construction site with workers, linking to their discussion. As the journey continues, they drive through a residential area, observing the surroundings. The sequence concludes with the men parking their car and walking towards a large house, continuing their discussion.", "style_caption": "The video utilizes a documentary-style approach with a mix of static and dynamic shots, capturing both intimate conversations and broader contextual settings to narrate the progression of house construction.", "camera_caption": "The camera initially captures the interior of the car with a focus on the men, using a static, front-facing angle that switches between the driver and passenger. The view then changes to an aerial shot of the construction site, providing a comprehensive view of the ongoing work. As they drive through the neighborhood, the camera adopts a forward-facing angle from the car's perspective, transitioning to a handheld style as they exit the car and approach the house, adding a dynamic, personal touch to the final scenes.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'Which woman works as a chef?',\n 'Options': [\n 'A. Diamante.',\n 'B. Carola Ordenes.',\n 'C. Amina.',\n 'D. Ghizlane.'\n ],\n 'Answer': 'A'}\n\n2. {'Q': 'The main character of the video is observing the surface of the moon when he notices a straight line, what is it?',\n 'Options': [\n 'A. Lunar Ridge.',\n 'B. Collapsed lava tubes.',\n 'C. Rift valley systems.',\n 'D. Scratch marks.'\n ],\n 'Answer': 'B'}\n\n3. {'Q': 'What is the main subject matter of the advertisement featured in the video?',\n 'Options': [\n 'A. Audible app.',\n 'B. Music listening app.',\n 'C. Shopping app.',\n 'D. Video online playing app.'\n ],\n 'Answer': 'A'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA journey of two men discussing the construction of a house while driving through various locations. Initially, they are seen inside a car, engaged in conversation, with the driver occasionally looking at the passenger while talking. The scene transitions to show a construction site where workers are actively building a house, indicating the topic of their discussion. Subsequent frames depict the men driving through a lush, suburban neighborhood, and finally, they exit the car in front of a large, well-finished house, suggesting a possible connection to their earlier discussion about house construction.\n\nBackground Description:\nThe video features a variety of backgrounds that complement the narrative of house construction. It starts inside a car, providing a confined, personal space for the discussion. The background shifts to an active construction site, highlighting the early stages of building a house. As the men drive, the background changes to a scenic suburban area with lush greenery and well-maintained streets, ending at a large, elegant house that showcases the potential end result of a construction project.\n\nMain Object Description:\nThe main subjects, two men, are first seen inside a car; one is driving while the other engages in conversation, gesturing occasionally to emphasize points. The video then shows a construction site with workers, linking to their discussion. As the journey continues, they drive through a residential area, observing the surroundings. The sequence concludes with the men parking their car and walking towards a large house, continuing their discussion.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What do the men observe when they drive through the suburban neighborhood?', 'Options': ['A. A busy city street.', 'B. A construction site.', 'C. Lush greenery and well-maintained streets.', 'D. A large, well-finished house.'], 'Answer': 'C'}]"}
	{"clip_id": "1992924.0_fgDRTp4kqDM", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=fgDRTp4kqDM", "video_id": "fgDRTp4kqDM", "width": 1280, "height": 720, "fps": 29.833, "seconds": 44.18, "timestamp": "['00:00:00.000', '00:00:44.180']", "frame_number": 1318, "framestamp": "[0, 1318]", "file_path": "video_clips/000001992/000001992924.0.mp4", "short_caption": "A black background with a quote on it.", "dense_caption": "The video begins with a series of frames featuring a cosmic, visually striking representation of a universe, set against a deep black background. These frames include a glowing celestial body resembling a planet, surrounded by stars and nebulae, enhancing the theme of vastness and exploration. Text overlays in these initial frames introduce the concept of expanding one's consciousness, attributed to a specific source and promoting a website. The video transitions to a more personal setting where an individual, presumably a coach or counselor, is introduced. This part of the video shifts to a home office environment where the counselor is seated, surrounded by books and personal decor, indicating a professional yet intimate atmosphere for guidance and personal growth.", "background_caption": " the first part has a cosmic, space-themed background with visually rich graphics of a universe, designed to evoke a sense of wonder and possibility. The second part of the video shows an indoor setting, specifically a home office richly decorated with books, statues, and personal items, creating a warm and inviting atmosphere conducive to thoughtful discussion and counseling.", "main_object_caption": "Initially, the main subjects are the celestial visuals and text that convey messages of personal development and an invitation to explore further content. As the video progresses, the focus shifts to a human subject, a counselor, who appears seated in a home office. The counselor's environment is calm and scholarly, suggesting a session of learning or consultation is about to take place or is in progress.", "style_caption": "The video combines ethereal cosmic imagery with a serene, professional indoor setting, using static shots to focus on thematic content and personal interaction.", "camera_caption": "The video maintains a static camera angle in the frames featuring the cosmic visuals, focusing on the text and the moving graphics to hold the viewer's attention. In the frames featuring the counselor, the camera remains fixed, focusing on the subject to emphasize stability and attention to the dialogue or the content being presented.", "clip_position": "be", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What item is not used to decorate the Christmas tree?',\n 'Options': [\n 'A. Red balls.',\n 'B. Lights.',\n 'C. Green stars.',\n 'D. Icicles.'\n ],\n 'Answer': 'C. Green stars.'}\n\n2. {'Q': 'Which ingredient is not used in the video?',\n 'Options': [\n 'A. Hot glue.',\n 'B. Pieces of burlap.',\n 'C. Florals.',\n 'D. Plastic bottles.'\n ],\n 'Answer': 'D'}\n\n3. {'Q': 'What card does the male judge pick?',\n 'Options': [\n 'A. 2 of spades.',\n 'B. 2 of diamonds.',\n 'C. 2 of hearts.',\n 'D. 2 of clubs.'\n ],\n 'Answer': 'A'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nThe video begins with a series of frames featuring a cosmic, visually striking representation of a universe, set against a deep black background. These frames include a glowing celestial body resembling a planet, surrounded by stars and nebulae, enhancing the theme of vastness and exploration. Text overlays in these initial frames introduce the concept of expanding one's consciousness, attributed to a specific source and promoting a website. The video transitions to a more personal setting where an individual, presumably a coach or counselor, is introduced. This part of the video shifts to a home office environment where the counselor is seated, surrounded by books and personal decor, indicating a professional yet intimate atmosphere for guidance and personal growth.\n\nBackground Description:\n the first part has a cosmic, space-themed background with visually rich graphics of a universe, designed to evoke a sense of wonder and possibility. The second part of the video shows an indoor setting, specifically a home office richly decorated with books, statues, and personal items, creating a warm and inviting atmosphere conducive to thoughtful discussion and counseling.\n\nMain Object Description:\nInitially, the main subjects are the celestial visuals and text that convey messages of personal development and an invitation to explore further content. As the video progresses, the focus shifts to a human subject, a counselor, who appears seated in a home office. The counselor's environment is calm and scholarly, suggesting a session of learning or consultation is about to take place or is in progress.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What object in the home office suggests the counselor's profession and the scholarly nature of the environment?',\n 'Options': [\n 'A. A telescope.',\n 'B. A whiteboard.',\n 'C. Books.',\n 'D. A microscope.'\n ],\n 'Answer': 'C. Books.'}]"}
	{"clip_id": "2528322.1_YcY_2hIqplk", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=YcY_2hIqplk", "video_id": "YcY_2hIqplk", "width": 1280, "height": 720, "fps": 29.935, "seconds": 42.091, "timestamp": "['00:00:12.599', '00:00:54.690']", "frame_number": 1260, "framestamp": "[360, 1620]", "file_path": "video_clips/000002528/000002528322.1.mp4", "short_caption": "A soccer game is being played on a field with a large crowd of people watching.", "dense_caption": "A soccer match between two teams, presumably USA and Portugal, as indicated by the scoreboard and team uniforms. The sequence begins with a team photo of the USA team, followed by a scene showing players in action on the field. The video includes moments such as the referee and a player from Portugal preparing for the start of the game, a close-up of a goalkeeper catching the ball, and dynamic gameplay showing players intensely competing for the ball. The crowd, visible in the background, adds to the lively atmosphere of the match.", "background_caption": "The soccer match takes place in a stadium filled with spectators. Various advertising banners (e.g., Visa, McDonald's) are visible around the field, indicating commercial sponsorships. The weather appears to be clear and sunny, contributing to the bright and vibrant visuals of the video. The time of day seems to be late afternoon, as suggested by the long shadows cast on the field.", "main_object_caption": "The soccer players and the referee. Initially, the USA team is seen posing for a team photo. Subsequently, the referee and a Portuguese player are shown in the center of the field, ready to start the game. The action shifts to various parts of the field showing players running, passing the ball, and engaging in defensive and offensive maneuvers. One frame highlights the goalkeeper in action, making a save. The sequence captures the fluid and fast-paced nature of the game.", "style_caption": "The video features a high-definition, vibrant visual style with dynamic camera work that effectively captures the fast-paced and energetic atmosphere of a professional soccer match.", "camera_caption": "The video utilizes multiple camera angles to capture the action. It starts with a close-up group shot, moves to a mid-range shot for the kickoff, and includes wide shots of the field to follow the gameplay. Close-up shots are used to focus on key moments like the goalkeeper's save. The camera dynamically switches between these angles to maintain an engaging view of the ongoing match and to highlight important moments and players.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What sport are the two teams of athletes playing?',\n 'Options': [\n 'A. Ice hockey.',\n 'B. Soccer.',\n 'C. Rugby.',\n 'D. Basketball.'\n ],\n 'Answer': 'C'}\n\n2. {'Q': 'What item is not used to decorate the Christmas tree?',\n 'Options': [\n 'A. Red balls.',\n 'B. Lights.',\n 'C. Green stars.',\n 'D. Icicles.'\n ],\n 'Answer': 'C. Green stars.'}\n\n3. {'Q': 'Which team in the video reached the finish line first?',\n 'Options': [\n 'A. USA team.',\n 'B. Canadian team.',\n 'C. Ghana team.',\n 'D. South Africa team.'\n ],\n 'Answer': 'B'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA soccer match between two teams, presumably USA and Portugal, as indicated by the scoreboard and team uniforms. The sequence begins with a team photo of the USA team, followed by a scene showing players in action on the field. The video includes moments such as the referee and a player from Portugal preparing for the start of the game, a close-up of a goalkeeper catching the ball, and dynamic gameplay showing players intensely competing for the ball. The crowd, visible in the background, adds to the lively atmosphere of the match.\n\nBackground Description:\nThe soccer match takes place in a stadium filled with spectators. Various advertising banners (e.g., Visa, McDonald's) are visible around the field, indicating commercial sponsorships. The weather appears to be clear and sunny, contributing to the bright and vibrant visuals of the video. The time of day seems to be late afternoon, as suggested by the long shadows cast on the field.\n\nMain Object Description:\nThe soccer players and the referee. Initially, the USA team is seen posing for a team photo. Subsequently, the referee and a Portuguese player are shown in the center of the field, ready to start the game. The action shifts to various parts of the field showing players running, passing the ball, and engaging in defensive and offensive maneuvers. One frame highlights the goalkeeper in action, making a save. The sequence captures the fluid and fast-paced nature of the game.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What does the goalkeeper do when the ball is kicked towards the goal?', 'Options': ['A. Kicks the ball away.', 'B. Catches the ball.', 'C. Dives to the side.', 'D. Runs towards the ball.'], 'Answer': 'B. Catches the ball.'}]"}
	{"clip_id": "1989419.0_etqdn8A6gS8", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=etqdn8A6gS8", "video_id": "etqdn8A6gS8", "width": 1280, "height": 720, "fps": 24.874, "seconds": 71.361, "timestamp": "['00:01:02.239', '00:02:13.600']", "frame_number": 1775, "framestamp": "[1550, 3325]", "file_path": "video_clips/000001989/000001989419.0.mp4", "short_caption": "Two people playing a game of squash on a court.", "dense_caption": "An intense squash match between two players on a professional court. The players, dressed in athletic gear, exhibit a high level of skill and agility as they energetically move around the court, striking the ball with precision. The match takes place in a well-lit indoor arena, with a sizable audience in the background, indicating the significance of the event. Throughout the video, the players engage in a series of rapid exchanges, showcasing their competitive spirit and physical prowess, with the scoreboard occasionally visible, reflecting the progress of the game.", "background_caption": "A professional squash court with a blue and black color scheme, prominently displaying sponsorship logos. The court is enclosed in a glass box, allowing the audience, seated around and above the court, a clear view of the match. The setting suggests a night event, given the indoor lighting and the visibility of the audience focused on the match.", "main_object_caption": "The two players, one wearing a white shirt and the other in green, are seen actively competing. They display a range of movements including sprinting, lunging, and swift racket swings. Their interaction with the ball involves strategic hits aimed at outmaneuvering each other, with moments where they pause to strategize or react to the score. The intensity of their actions varies, reflecting the changing dynamics of the game as they each score points.", "style_caption": "The video features a high-definition, dynamic visual style with sharp, clear images and fluid camera movements that enhance the viewer's engagement with the fast-paced squash match.", "camera_caption": "The video utilizes multiple camera angles to capture the fast-paced action, including wide shots that encompass the entire court, and closer shots that focus on the players' expressions and detailed movements. The camera dynamically switches perspectives, sometimes following the ball, other times focusing on the player's reactions, providing a comprehensive view of the match's intensity.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'Which woman works as a chef?',\n 'Options': [\n 'A. Diamante.',\n 'B. Carola Ordenes.',\n 'C. Amina.',\n 'D. Ghizlane.'\n ],\n 'Answer': 'A'}\n\n2. {'Q': 'Who finally find the lost city?',\n 'Options': [\n 'A. Terra preta.',\n 'B. Fawcett.',\n 'C. European expeditions.',\n 'D. Dr.Michael Heckenberger.'\n ],\n 'Answer': 'D. Dr.Michael Heckenberger.'}\n\n3. {'Q': 'What country's practice game is this?',\n 'Options': [\n 'A. UK.',\n 'B. USA.',\n 'C. Canada.',\n 'D. Australia.'\n ],\n 'Answer': 'B. USA.'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nAn intense squash match between two players on a professional court. The players, dressed in athletic gear, exhibit a high level of skill and agility as they energetically move around the court, striking the ball with precision. The match takes place in a well-lit indoor arena, with a sizable audience in the background, indicating the significance of the event. Throughout the video, the players engage in a series of rapid exchanges, showcasing their competitive spirit and physical prowess, with the scoreboard occasionally visible, reflecting the progress of the game.\n\nBackground Description:\nA professional squash court with a blue and black color scheme, prominently displaying sponsorship logos. The court is enclosed in a glass box, allowing the audience, seated around and above the court, a clear view of the match. The setting suggests a night event, given the indoor lighting and the visibility of the audience focused on the match.\n\nMain Object Description:\nThe two players, one wearing a white shirt and the other in green, are seen actively competing. They display a range of movements including sprinting, lunging, and swift racket swings. Their interaction with the ball involves strategic hits aimed at outmaneuvering each other, with moments where they pause to strategize or react to the score. The intensity of their actions varies, reflecting the changing dynamics of the game as they each score points.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What color is the shirt of the player who lunges to hit the ball during a strategic moment?', 'Options': ['A. White', 'B. Green', 'C. Blue', 'D. Black'], 'Answer': 'A. White'}]"}
	{"clip_id": "1171221.0_mLu3_p4g-Qo", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=mLu3_p4g-Qo", "video_id": "mLu3_p4g-Qo", "width": 1280, "height": 720, "fps": 24.991, "seconds": 113.04, "timestamp": "['00:02:06.159', '00:03:59.199']", "frame_number": 2825, "framestamp": "[3150, 5975]", "file_path": "video_clips/000001171/000001171221.0.mp4", "short_caption": "A car is driving on a winding road in the countryside, passing by trees and fields.", "dense_caption": "A dynamic journey of a luxurious car driving through diverse countryside landscapes. Initially, the car is seen from the side, gliding smoothly along a road bordered by lush green forests, showcasing its sleek, polished exterior and distinctive design features such as the logo and wheel rims. The perspective then shifts inside the car, focusing on the high-quality interior, emphasizing the detailed stitching and branding on the leather seats. As the journey continues, the car maneuvers along winding roads, passing serene fields and quaint rural settings, demonstrating its agility and performance. The video concludes with the car navigating a more structured environment, possibly a racing track, highlighting its sporty capabilities and advanced engineering.", "background_caption": "The video's background varies from lush green forests and serene countryside landscapes with fields and trees to a more controlled racing track environment. The rural roads are narrow and winding, lined with greenery and occasional structures, reflecting a peaceful, natural setting. The weather appears mildly overcast, providing soft lighting that enhances the visual appeal of the scenes.", "main_object_caption": "A high-end sports car, is depicted in various driving scenarios. It starts on a forest-lined road, showcasing its elegant side profile. Inside, the focus is on the luxurious interior, particularly the leather seats with prominent stitching and embossed branding. The car then transitions to driving through open countryside roads, navigating curves with ease, and finally, it is shown on a racing track, emphasizing its performance and handling capabilities.", "style_caption": "The video features a high-definition, cinematic style with a focus on dynamic movement and detailed texture, utilizing natural lighting and varied camera angles to emphasize the luxury and performance of the car in a picturesque setting.", "camera_caption": "The video employs a mix of static and dynamic shots with smooth transitions. It begins with a lateral view of the moving car, then shifts to an interior shot focusing on details, followed by front and rear views of the car driving along country roads and a racing track. The camera angles vary from close-ups that highlight the car's details to wide shots that capture the car's interaction with its surroundings, effectively conveying a sense of motion and speed.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What kind of chess are the old people in the video playing?',\n 'Options': [\n 'A. Mahjong.',\n 'B. Go.',\n 'C. Chinese chess.',\n 'D. Five-in-a-row.'\n ],\n 'Answer': 'C. Chinese chess.'}\n\n2. {'Q': 'Which cellular structure is responsible for receiving proteins according to the video?',\n 'Options': [\n 'A. Golgi apparatus (Golgi body).',\n 'B. Nucleus.',\n 'C. Ribosome.',\n 'D. Mitochondrion.'\n ],\n 'Answer': 'A. Golgi apparatus (Golgi body).'}\n\n3. {'Q': 'Which ingredient is not used in the video?',\n 'Options': [\n 'A. Hot glue.',\n 'B. Pieces of burlap.',\n 'C. Florals.',\n 'D. Plastic bottles.'\n ],\n 'Answer': 'D'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA dynamic journey of a luxurious car driving through diverse countryside landscapes. Initially, the car is seen from the side, gliding smoothly along a road bordered by lush green forests, showcasing its sleek, polished exterior and distinctive design features such as the logo and wheel rims. The perspective then shifts inside the car, focusing on the high-quality interior, emphasizing the detailed stitching and branding on the leather seats. As the journey continues, the car maneuvers along winding roads, passing serene fields and quaint rural settings, demonstrating its agility and performance. The video concludes with the car navigating a more structured environment, possibly a racing track, highlighting its sporty capabilities and advanced engineering.\n\nBackground Description:\nThe video's background varies from lush green forests and serene countryside landscapes with fields and trees to a more controlled racing track environment. The rural roads are narrow and winding, lined with greenery and occasional structures, reflecting a peaceful, natural setting. The weather appears mildly overcast, providing soft lighting that enhances the visual appeal of the scenes.\n\nMain Object Description:\nA high-end sports car, is depicted in various driving scenarios. It starts on a forest-lined road, showcasing its elegant side profile. Inside, the focus is on the luxurious interior, particularly the leather seats with prominent stitching and embossed branding. The car then transitions to driving through open countryside roads, navigating curves with ease, and finally, it is shown on a racing track, emphasizing its performance and handling capabilities.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What distinctive feature of the car is highlighted when it is first shown on the forest-lined road?', 'Options': ['A. The car\u2019s racing stripes.', 'B. The car\u2019s logo and wheel rims.', 'C. The car\u2019s tinted windows.', 'D. The car\u2019s exhaust pipes.'], 'Answer': 'B. The car\u2019s logo and wheel rims.'}]"}
	{"clip_id": "2508185.1_U5iBoK5kF8A", "source": "youtube, hd-vila-100m", "video_url": "https://www.youtube.com/watch?v=U5iBoK5kF8A", "video_id": "U5iBoK5kF8A", "width": 1280, "height": 720, "fps": 29.366, "seconds": 49.989, "timestamp": "['00:00:53.760', '00:01:43.749']", "frame_number": 1468, "framestamp": "[1588, 3056]", "file_path": "video_clips/000002508/000002508185.1.mp4", "short_caption": "A group of pirates are walking through a jungle and attacking a village.", "dense_caption": "A dramatic sequence where a group of pirates, clad in traditional pirate attire such as tricorn hats and long coats, navigate through a dense jungle before raiding a tropical village at night. Initially, the pirates are seen engaging in combat with villagers amidst the flickering lights of torches and a bonfire, highlighting the chaos of the attack. As the scene progresses, the focus shifts to the pirates moving stealthily through the lush, moonlit jungle, showcasing their strategic retreat or advance deeper into the island. The video concludes with the pirates regrouping and cautiously proceeding through the dense foliage, suggesting a continuation of their perilous journey or perhaps an escape.", "background_caption": "The video is set in a tropical environment, featuring a small village with thatched huts, barrels, baskets, and a bonfire, creating a rustic and chaotic atmosphere during the night raid. The scene then shifts to a dense jungle with thick foliage, hanging vines, and dim natural lighting, enhanced by the moonlight filtering through the trees, which adds a mysterious and foreboding aura to the setting.", "main_object_caption": "The pirates are initially engaged in aggressive interactions with the villagers, using swords and pistols, amidst the makeshift structures of the village. Following the skirmish, they retreat into the jungle, moving with caution and readiness, weapons in hand, under the cover of night and dense vegetation. Their actions transition from overt aggression to stealthy navigation, indicating a tactical change in their approach as they move deeper into the jungle.", "style_caption": "The video employs a cinematic style with a high contrast lighting scheme, rich color saturation, and dynamic camera movements to vividly portray the dramatic and suspenseful night-time raid and escape of pirates in a tropical setting.", "camera_caption": "The camera work includes dynamic angles that capture the intensity of the combat and the strategic movements of the pirates. Close-up shots during the fight scenes emphasize the expressions and actions of the characters, while wider shots reveal the layout of the village and the jungle. As the pirates move into the jungle, the camera switches to a lower angle, following them from behind, which immerses the viewer in their stealthy trek through the dense undergrowth.", "clip_position": "mid", "qa_prompt": "<\|im_start\|>system\nYou are an AI assistant tasked with generating high-quality object recognition questions based on a video snippet description from a long video.\n\n## TASK:\nGenerate one high-quality object recognition question that requires identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc. while using an event, action or composite feature to constrain the question, thereby ensuring answer uniqueness in long videos.\n\n## CRITICAL RULES:1. Uniqueness Guarantee: Each question must include either: - A specific action (e.g., 'What does the woman use to cut the ribbon?'), OR - A specific event (e.g., 'What falls off the table when the dog bumps into it?'), OR - A composite feature (e.g., 'What does the girl in the red dress hold in her hand?').2. Visual Grounding: Answers must be verifiable from a single frame or short clip.\n3. Description DescrGroundingiption: Ensure that the answer is grounded in the video's description, not general knowledge or external information.\n4. No Temporal Reasoning: Avoid questions requiring comparing frames (e.g., 'what happened next?').\n5. Focus on Visual Entities: The question must test the model\u2019s ability to recognize objects, tools, clothing, colors, or explicit scene elements, etc..\n6. Avoid Extraneous Information: Do not rely on subtitles, voiceovers, or audio cues unless explicitly mentioned in the description.\n7. Clear and Logical Phrasing: Keep the question clear, specific, and logically phrased to avoid ambiguity.\n\n## OUTPUT FORMAT: Format the output as a list of dictionaries with the following keys:\n - `'Q'`: The question.\n - `'Options'`: A list of four answer options labeled 'A', 'B', 'C', and 'D'.\n - `'Answer'`: The correct answer (e.g., `'A'`, `'B'`, etc.).\n\n## EXAMPLES:\n1. {'Q': 'What sport are the two teams of athletes playing?',\n 'Options': [\n 'A. Ice hockey.',\n 'B. Soccer.',\n 'C. Rugby.',\n 'D. Basketball.'\n ],\n 'Answer': 'C'}\n\n2. {'Q': 'Which cellular structure is responsible for receiving proteins according to the video?',\n 'Options': [\n 'A. Golgi apparatus (Golgi body).',\n 'B. Nucleus.',\n 'C. Ribosome.',\n 'D. Mitochondrion.'\n ],\n 'Answer': 'A. Golgi apparatus (Golgi body).'}\n\n3. {'Q': 'The main character of the video is observing the surface of the moon when he notices a straight line, what is it?',\n 'Options': [\n 'A. Lunar Ridge.',\n 'B. Collapsed lava tubes.',\n 'C. Rift valley systems.',\n 'D. Scratch marks.'\n ],\n 'Answer': 'B'}\n\n<\|im_end\|>\n<\|im_start\|>user\nI have provided you with three different aspect description of a specific clip from a long video. Below is these description:\n\nDense Description:\nA dramatic sequence where a group of pirates, clad in traditional pirate attire such as tricorn hats and long coats, navigate through a dense jungle before raiding a tropical village at night. Initially, the pirates are seen engaging in combat with villagers amidst the flickering lights of torches and a bonfire, highlighting the chaos of the attack. As the scene progresses, the focus shifts to the pirates moving stealthily through the lush, moonlit jungle, showcasing their strategic retreat or advance deeper into the island. The video concludes with the pirates regrouping and cautiously proceeding through the dense foliage, suggesting a continuation of their perilous journey or perhaps an escape.\n\nBackground Description:\nThe video is set in a tropical environment, featuring a small village with thatched huts, barrels, baskets, and a bonfire, creating a rustic and chaotic atmosphere during the night raid. The scene then shifts to a dense jungle with thick foliage, hanging vines, and dim natural lighting, enhanced by the moonlight filtering through the trees, which adds a mysterious and foreboding aura to the setting.\n\nMain Object Description:\nThe pirates are initially engaged in aggressive interactions with the villagers, using swords and pistols, amidst the makeshift structures of the village. Following the skirmish, they retreat into the jungle, moving with caution and readiness, weapons in hand, under the cover of night and dense vegetation. Their actions transition from overt aggression to stealthy navigation, indicating a tactical change in their approach as they move deeper into the jungle.\n\nBased on these description and the system instructions, generate one high-quality object recognition question-and-answer pair.\n\n## REQUIREMENTS:\n- The question must focus on identifying visible objects, such as people, vehicles, animals, furniture, tools, electronic devices, clothing, food, household items, etc.\n- You must use an action, event or composite feature in question to constrain the question, thereby ensuring answer uniqueness.\n- The answer must be directly observable in the description without any reasoning or inference.\n\n## OUTPUT FORMAT:\n[{'Q': 'Your question here...', 'Options': ['A. ...', 'B. ...', 'C. ...', 'D. ...'], 'Answer': 'Correct answer here...'}]\n\nOnly return the QA pair in the specified JSON list format.<\|im_end\|>\n<\|im_start\|>assistant\n", "generated_qa": "[{'Q': 'What weapon do the pirates use during their initial engagement with the villagers?', 'Options': ['A. Spears.', 'B. Swords.', 'C. Bows and arrows.', 'D. Clubs.'], 'Answer': 'B'}]"}