video_id stringlengths 47 110 | avg_aesthetic_score_laion_aesthetics float64 3.14 6.03 | frame_aesthetic_scores_laion_aesthetics stringlengths 20 850 | video_name stringlengths 37 100 | motion_fb_motion_score float64 -8.12 6.44 ⌀ | motion_lk_motion_score float64 0 14.6 ⌀ | frame_shot_categorization_shot_categorizer stringlengths 133 4.96k ⌀ | avg_subjects_subject_presence float64 0 32.4 | avg_humans_subject_presence float64 0 25.7 | avg_animals_subject_presence float64 0 15.5 | frame_counts_subject_presence stringlengths 132 4.92k | avg_vision_reward float64 -0.15 0.15 | frame_wise_rewards stringlengths 53 101 | video_url stringlengths 39 39 | scene_name stringclasses 33
values | SCENE_NUM float64 1 33 | START_FRAME float64 24 13.6k | END_FRAME float64 384 13.9k | START_TIMECODE stringlengths 12 12 | END_TIMECODE stringlengths 12 12 | START_SECONDS float64 1 566 | END_SECONDS float64 16 581 | DURATION_SECONDS float64 15 22 | GAP_FROM_PREVIOUS float64 1 219 | prompt_x stringclasses 1
value | caption_t2v_style stringlengths 68 3.24k | prompt_y stringclasses 1
value | caption_t2v_style_short stringlengths 55 1.92k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
scene_001_$20_Bill_-_Paper_Moon_(5_8)_Movie_CLIP_(1973)_HD | 4.636416 | {0: 4.8641157150268555, 1: 5.021646499633789, 2: 5.027580738067627, 3: 4.931288242340088, 4: 4.6557393074035645, 5: 4.849403381347656, 6: 4.929999828338623, 7: 4.232687950134277, 8: 4.717996120452881, 9: 3.1449460983276367, 10: 4.515240669250488, 11: 4.494449615478516, 12: 4.419491291046143, 13: 4.86494255065918, 14: 4... | $20_Bill_-_Paper_Moon_(5_8)_Movie_CLIP_(1973)_HD | 0.183104 | 5.527554 | {0: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 1: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical ... | 4.333333 | 3.533333 | 0.066667 | {0: {'raw_counts': {'person': 7, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 1: {'raw_counts': {'person': 6, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 2: {'raw_... | 0.045305 | [ 1 1 1 -1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 1
1 1] | https://youtube.com/watch?v=CKJJbZe4TWM | scene_001 | 1 | 55 | 415 | 00:00:02.294 | 00:00:17.309 | 2.293961 | 17.308976 | 15.015015 | 2.293961 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a vintage-style shop, a well-dressed man in a suit and fedora interacts with a shop assistant behind a counter, as other patrons browse the store in the background. He pulls out a twenty-dollar bill, placing it on the counter to pay for an item, while a boy peers out from behind a clothing rack, observing the tr... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man in a vintage suit and hat purchases an item at a department store, while a young boy looks on curiously. The scene is shot in black and white, evoking a sense of nostalgia or historical setting. |
scene_001_(500)_Days_of_Summer_(2_5)_Movie_CLIP_-_Playing_House_(2009)_HD | 4.638792 | {'frame_00:00.png': 4.347377777099609, 'frame_00:01.png': 4.387414932250977, 'frame_00:02.png': 4.789628028869629, 'frame_00:03.png': 4.8804450035095215, 'frame_00:04.png': 4.817821025848389, 'frame_00:05.png': 4.863135814666748, 'frame_00:06.png': 4.809812545776367, 'frame_00:07.png': 4.921477317810059, 'frame_00:08.p... | (500)_Days_of_Summer_(2_5)_Movie_CLIP_-_Playing_House_(2009)_HD | 0.023307 | 0.201792 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COM... | 3.466667 | 1.733333 | 0.066667 | {0: {'raw_counts': {'person': 2, 'tv': 2, 'laptop': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 1: {'raw_counts': {'cat': 1, 'tv': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2... | 0.126447 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=ARoB1nWPsxo | scene_001 | 1 | 470 | 830 | 00:00:19.603 | 00:00:34.618 | 19.602936 | 34.617951 | 15.015015 | 19.602936 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A boy and girl sit on a couch in front of a television. The scene shifts to the pair sitting on an Ikea-style couch with dominos on the coffee table. The boy gets up and walks around the Ikea-style setting. The scene changes to a kitchen, with an Ikea-style table and chairs, where the boy sits down. | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two people sit in front of a television as the scene transitions to a furniture showroom, showcasing various furniture sets. The environment is illuminated with blue lighting as the subjects move throughout the spaces.
|
scene_001_(500)_Days_of_Summer_(3_5)_Movie_CLIP_-_I_Love_Us_(2009)_HD | 5.077505 | {'frame_00:00.png': 5.223506450653076, 'frame_00:01.png': 5.206738471984863, 'frame_00:02.png': 5.133436679840088, 'frame_00:03.png': 5.1906538009643555, 'frame_00:04.png': 4.94564962387085, 'frame_00:05.png': 5.030333042144775, 'frame_00:06.png': 5.0395612716674805, 'frame_00:07.png': 5.173560619354248, 'frame_00:08.p... | (500)_Days_of_Summer_(3_5)_Movie_CLIP_-_I_Love_Us_(2009)_HD | 0.053913 | 0.62943 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left... | 3.866667 | 1.2 | 0 | {0: {'raw_counts': {'person': 2, 'chair': 1, 'laptop': 1, 'clock': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 1: {'raw_counts': {'person': 1, 'chair': 1, 'laptop': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food... | 0.120162 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
1 1] | https://youtube.com/watch?v=4rGia6hIWmk | scene_001 | 1 | 167 | 527 | 00:00:06.965 | 00:00:21.980 | 6.965299 | 21.980314 | 15.015015 | 6.965299 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A somber and intensely blue-lit scene unfolds in an office where a young man sits across a desk from an older man in a suit; the younger man has a solemn expression as he sits in a sweater vest, while behind him, the wall is decorated with drawings of cherubs. The older man, seated behind the desk, opens a greeting car... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | In an office setting, a serious young man sits opposite an older man who is reviewing a card. After the man opens the card, he smiles and they converse with a blue tint. |
scene_001_(500)_Days_of_Summer_(5_5)_Movie_CLIP_-_All_That_True_Love_Nonsense_(2009)_HD | 5.491072 | {'frame_00:00.png': 5.44398307800293, 'frame_00:01.png': 5.391204833984375, 'frame_00:02.png': 5.6354570388793945, 'frame_00:03.png': 5.564346790313721, 'frame_00:04.png': 5.321506500244141, 'frame_00:05.png': 5.330327033996582, 'frame_00:06.png': 5.661089897155762, 'frame_00:07.png': 5.642228126525879, 'frame_00:08.pn... | (500)_Days_of_Summer_(5_5)_Movie_CLIP_-_All_That_True_Love_Nonsense_(2009)_HD | -0.018481 | 0.386088 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'},... | 2.666667 | 2 | 0.133333 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.126921 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=bBLKvPSgQ2A | scene_001 | 1 | 518 | 878 | 00:00:21.605 | 00:00:36.620 | 21.604938 | 36.619953 | 15.015015 | 21.604938 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with bangs and a tan coat smiles warmly at a man in a suit. They are sitting next to each other on an outdoor bench, as they look towards each other intently with dramatic lighting. The shot composition is medium, capturing their faces and upper bodies. Later the woman's smile broadens as the man returns a soft... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man and woman are sitting together and smiling in what looks like a romantic encounter. They are in a park-like setting with a blue light filter, which creates a cool, calm mood. |
scene_001_10,000_BC_(7_10)_Movie_CLIP_-_We_Hunt_Together_(2008)_HD | 4.37749 | {'frame_00:00.png': 3.9596991539001465, 'frame_00:01.png': 4.329439163208008, 'frame_00:02.png': 4.723972797393799, 'frame_00:03.png': 4.77940559387207, 'frame_00:04.png': 4.817842483520508, 'frame_00:05.png': 4.746920585632324, 'frame_00:06.png': 3.6875810623168945, 'frame_00:07.png': 3.8884243965148926, 'frame_00:08.... | 10,000_BC_(7_10)_Movie_CLIP_-_We_Hunt_Together_(2008)_HD | 0.003501 | 1.330408 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>':... | 1.066667 | 0.933333 | 0.133333 | {0: {'raw_counts': {'elephant': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_count... | -0.04556 | [-1 -1 1 -1 -1 1 1 -1 -1 -1 -1 -1 1 -1 1 1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=zGrIGZifpwg | scene_001 | 1 | 41 | 401 | 00:00:01.710 | 00:00:16.725 | 1.710043 | 16.725058 | 15.015015 | 1.710043 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The low-lit clip begins with two dark-skinned men, each having light-colored sticks inserted in their lower lips. The men stand in a group of other dark-skinned people. A light flickers over the group who stand still and silent. Then the shot focuses on a light-skinned man with dreadlocks. His face is dirty and he look... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A crowd is gathered with a man emerging as the camera zooms in for a close-up, with dramatic lighting highlighting his face and expression. The scene conveys a sense of anticipation or revelation. |
scene_001_10_Cloverfield_Lane_(2016)_-_A_Narrow_Escape_Scene_(7_10)_|_Movieclips | 4.135919 | {'frame_00:00.png': 3.3088393211364746, 'frame_00:01.png': 4.022397994995117, 'frame_00:02.png': 3.9386768341064453, 'frame_00:03.png': 4.132883548736572, 'frame_00:04.png': 4.750532627105713, 'frame_00:05.png': 4.198675155639648, 'frame_00:06.png': 4.373287200927734, 'frame_00:07.png': 3.3798441886901855, 'frame_00:08... | 10_Cloverfield_Lane_(2016)_-_A_Narrow_Escape_Scene_(7_10)_|_Movieclips | 0.018823 | 0.304754 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'High contrast, Side light'}, {'<LIGHTING... | 0.133333 | 0.133333 | 0 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'hu... | -0.096997 | [-1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=bMjYOV8VnYk | scene_001 | 1 | 166 | 526 | 00:00:06.924 | 00:00:21.939 | 6.92359 | 21.938605 | 15.015015 | 6.92359 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Through the bars, an individual with pale skin and dark circles around the eyes grimaces, revealing clenched teeth. The person's face, illuminated by a dim light, is contorted with an intense emotion, their gaze intense. The lighting is stark, casting shadows that emphasize the cage-like setting. They are squeezed betw... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A figure with painted skin peers through metal bars in a dark and eerie setting. The character escapes through a vent into a dimly lit interior.
|
scene_001_10_Cloverfield_Lane_(2016)_-_Everyone_Outside_Is_Dead_Scene_(2_10)_|_Movieclips | 4.910285 | {'frame_00:00.png': 5.081283092498779, 'frame_00:01.png': 5.472167015075684, 'frame_00:02.png': 5.422855377197266, 'frame_00:03.png': 4.513709545135498, 'frame_00:04.png': 4.644676685333252, 'frame_00:05.png': 4.8022661209106445, 'frame_00:06.png': 4.774048328399658, 'frame_00:07.png': 4.854095458984375, 'frame_00:08.p... | 10_Cloverfield_Lane_(2016)_-_Everyone_Outside_Is_Dead_Scene_(2_10)_|_Movieclips | 0.086968 | 1.78629 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSI... | 1 | 1 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.037117 | [-1 1 1 1 1 1 1 -1 -1 1 -1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=jypAc6XYFfA | scene_001 | 1 | 42 | 402 | 00:00:01.752 | 00:00:16.767 | 1.751752 | 16.766767 | 15.015015 | 1.751752 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with short dark hair, wearing a white tank top, sits leaning against a cinderblock wall, looking distraught under cool blue lighting. Across from her, a man looms in shadow before stepping into the light. He is heavyset with dark hair, wearing a brown jacket over a white t-shirt. The man appears agitated, runni... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A distressed woman is sitting with her back against a cinderblock wall while a man looms over her. The scene is shrouded in a dramatic blue light. |
scene_001_10_Cloverfield_Lane_(2016)_-_Frank_&_Mildred_Scene_(3_10)_|_Movieclips | 5.257837 | {'frame_00:00.png': 4.909789562225342, 'frame_00:01.png': 4.878175735473633, 'frame_00:02.png': 5.061092376708984, 'frame_00:03.png': 5.174137115478516, 'frame_00:04.png': 5.183154582977295, 'frame_00:05.png': 5.341334342956543, 'frame_00:06.png': 5.425784111022949, 'frame_00:07.png': 5.510836601257324, 'frame_00:08.pn... | 10_Cloverfield_Lane_(2016)_-_Frank_&_Mildred_Scene_(3_10)_|_Movieclips | 0.54566 | 2.331625 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast,... | 1.733333 | 1.533333 | 0.066667 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'hu... | 0.068902 | [-1 1 1 1 1 1 1 -1 -1 1 -1 1 1 -1 1 1 1 1 1 1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=Mc_zp1s60NY | scene_001 | 1 | 204 | 564 | 00:00:08.509 | 00:00:23.524 | 8.508509 | 23.523524 | 15.015015 | 8.508509 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A dark tunnel interior with a corrugated metal structure is illuminated by a light source at the far end, where steps lead upwards towards a doorway, flanked by a metal handrail on the left, before a woman in a tank top and pants, followed by a man in a brown jacket emerge into the tunnel. The woman ascends the steps w... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A dimly lit tunnel is seen from a low angle, leading up a set of stairs, where a woman and a man are visible at the top. The scene is filled with suspense as the two figures emerge from the darkness. |
scene_001_10_Cloverfield_Lane_(2016)_-_I_Accept_Your_Apology_Scene_(5_10)_|_Movieclips | 5.057912 | {'frame_00:00.png': 4.03696346282959, 'frame_00:01.png': 4.023604869842529, 'frame_00:02.png': 4.256642818450928, 'frame_00:03.png': 4.238410472869873, 'frame_00:04.png': 5.426884651184082, 'frame_00:05.png': 5.64811897277832, 'frame_00:06.png': 5.588699817657471, 'frame_00:07.png': 5.490658283233643, 'frame_00:08.png'... | 10_Cloverfield_Lane_(2016)_-_I_Accept_Your_Apology_Scene_(5_10)_|_Movieclips | 0.013514 | 0.040005 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_... | 2.2 | 1.866667 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'vase': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_counts': ... | 0.047783 | [ 1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 1
1 1] | https://youtube.com/watch?v=DJTF3NmqF7U | scene_001 | 1 | 130 | 490 | 00:00:05.422 | 00:00:20.437 | 5.422089 | 20.437104 | 15.015015 | 5.422089 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A figure in a plaid shirt and gloves removes the lid from a yellow barrel, revealing a dark liquid inside. The scene transitions to a woman in a yellow tank top standing between a man with a sling and a blue-skinned, bearded man in a plaid shirt. The woman appears somber, with dramatic lighting casting shadows on her f... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person removes a lid from a container, revealing liquid inside a bunker, and two other figures look on. The scene is dimly lit, creating a tense and mysterious atmosphere. |
scene_001_127_Hours_(3_3)_Movie_CLIP_-_Radio_Show_Breakdown_(2010)_HD | 4.2608 | {'frame_00:00.png': 4.688414096832275, 'frame_00:01.png': 4.722763538360596, 'frame_00:02.png': 4.756282329559326, 'frame_00:03.png': 4.7635345458984375, 'frame_00:04.png': 3.6820931434631348, 'frame_00:05.png': 4.191454887390137, 'frame_00:06.png': 3.95267915725708, 'frame_00:07.png': 3.6758012771606445, 'frame_00:08.... | 127_Hours_(3_3)_Movie_CLIP_-_Radio_Show_Breakdown_(2010)_HD | -0.097491 | 1.69924 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COM... | 1.266667 | 1.2 | 0.066667 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.026134 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 -1 1 -1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=6KqG8CYcMKk | scene_001 | 1 | 502 | 862 | 00:00:20.938 | 00:00:35.953 | 20.937604 | 35.952619 | 15.015015 | 20.937604 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Captured in a low-angle medium shot, a man with a mustache and a tan baseball cap, his face illuminated by a cool blue light, looks upward with an expression of desperation. The backdrop features rough, gray rock textures that convey a sense of confinement. The scene shifts to a close-up of the man's face, revealing a ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man is trapped in a cave and is recording himself with a video camera; the man then starts to yell in pain. The scene is captured with cool, desaturated colors, which adds to the atmosphere of claustrophobia and distress. |
scene_001_12_Angry_Men_(1_10)_Movie_CLIP_-_Kids_These_Days_(1957)_HD | 5.006127 | {'frame_00:00.png': 4.93519926071167, 'frame_00:01.png': 5.005970478057861, 'frame_00:02.png': 4.956780433654785, 'frame_00:03.png': 5.422630310058594, 'frame_00:04.png': 5.350923538208008, 'frame_00:05.png': 5.350273132324219, 'frame_00:06.png': 5.066844940185547, 'frame_00:07.png': 5.096728324890137, 'frame_00:08.png... | 12_Angry_Men_(1_10)_Movie_CLIP_-_Kids_These_Days_(1957)_HD | -0.028195 | 1.125245 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial... | 3.333333 | 2.066667 | 0 | {0: {'raw_counts': {'person': 6, 'tie': 2, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 1: {'raw_counts': {'person': 6, 'tie': 3, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 2: {'raw_... | 0.073538 | [ 1 1 1 -1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=46kWbFAMHoc | scene_001 | 1 | 274 | 634 | 00:00:11.428 | 00:00:26.443 | 11.428095 | 26.44311 | 15.015015 | 11.428095 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The black and white video shows several men seated around a table, engaged in a serious discussion. The composition of the scene is focused on the faces of the men, with the foreground blurred to emphasize the central figures. The man at the center of the table is seen looking directly at the camera, his expression con... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of men is seen sitting around a table engaged in serious discussion, then the camera shifts to two individual men in separate close-ups, each conveying different emotions through their facial expressions. The last part of the video features a man with a hat, looking surprised or concerned. |
scene_001_12_Angry_Men_(2_10)_Movie_CLIP_-_It's_the_Same_Knife!_(1957)_HD | 4.871511 | {'frame_00:00.png': 4.8681159019470215, 'frame_00:01.png': 4.827643871307373, 'frame_00:02.png': 4.954568386077881, 'frame_00:03.png': 4.8676676750183105, 'frame_00:04.png': 4.908596515655518, 'frame_00:05.png': 4.972731113433838, 'frame_00:06.png': 4.9906721115112305, 'frame_00:07.png': 4.881181240081787, 'frame_00:08... | 12_Angry_Men_(2_10)_Movie_CLIP_-_It's_the_Same_Knife!_(1957)_HD | 0.003269 | 0.500795 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial... | 3.266667 | 2.266667 | 0 | {0: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 1: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 2: {'raw_... | 0.050711 | [-1 1 1 -1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 -1 -1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=TUzp2XUhskY | scene_001 | 1 | 359 | 719 | 00:00:14.973 | 00:00:29.988 | 14.973307 | 29.988322 | 15.015015 | 14.973307 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A black and white scene unfolds in an enclosed room, focusing on a serious discussion between two men seated at a table, with another figure partially visible in the background; The main subject, a man in a light-colored suit and dark tie, sits to the right, holding a decorative letter opener, his expression shifting f... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man in a suit sits across from another in a room, holding a knife and speaking to him. Captured in black and white, the scene has a serious, tense atmosphere as the man makes gestures and expressions while in conversation. |
scene_001_12_Angry_Men_(3_10)_Movie_CLIP_-_Who_Changed_Their_Vote?_(1957)_HD | 4.703861 | {'frame_00:00.png': 5.349266052246094, 'frame_00:01.png': 5.072167873382568, 'frame_00:02.png': 4.439502716064453, 'frame_00:03.png': 4.600992679595947, 'frame_00:04.png': 4.505053997039795, 'frame_00:05.png': 4.481846332550049, 'frame_00:06.png': 4.628547191619873, 'frame_00:07.png': 4.138218879699707, 'frame_00:08.pn... | 12_Angry_Men_(3_10)_Movie_CLIP_-_Who_Changed_Their_Vote?_(1957)_HD | -0.265598 | 0.891078 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial... | 9.055556 | 7.055556 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.042623 | [-1 1 1 -1 1 1 1 -1 -1 1 1 1 1 -1 1 1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=EqDd06GW76o | scene_001 | 1 | 1,150 | 1,573 | 00:00:47.965 | 00:01:05.607 | 47.964631 | 65.607274 | 17.642643 | 47.964631 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The video showcases a black and white scene inside a room, where a man with a serious expression looks intently at the camera, his eyes sharp and focused. The camera then shifts its focus to reveal more people in the room, including some seated around a table, engaged in what appears to be a serious discussion. One man... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A black and white still shows a group of men standing around a table, with the man facing the camera looking concerned. The scene evokes a serious, high-stakes atmosphere. |
scene_001_12_Angry_Men_(5_10)_Movie_CLIP_-_Re-enactment_(1957)_HD | 4.799517 | {'frame_00:00.png': 5.1465020179748535, 'frame_00:01.png': 5.174417495727539, 'frame_00:02.png': 5.335024833679199, 'frame_00:03.png': 5.249141693115234, 'frame_00:04.png': 4.731663227081299, 'frame_00:05.png': 4.932930946350098, 'frame_00:06.png': 4.466533660888672, 'frame_00:07.png': 4.430534362792969, 'frame_00:08.p... | 12_Angry_Men_(5_10)_Movie_CLIP_-_Re-enactment_(1957)_HD | 0.222463 | 1.248234 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial... | 9.666667 | 6.8 | 0 | {0: {'raw_counts': {'tie': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'tie': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 2: {'raw_... | 0.044594 | [-1 1 1 -1 1 1 1 -1 -1 1 1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=1fsFQ2gF4oE | scene_001 | 1 | 330 | 690 | 00:00:13.764 | 00:00:28.779 | 13.763764 | 28.778779 | 15.015015 | 13.763764 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man with a concerned expression and sweat stains on his shirt emerges from a closet, quickly regaining composure as he enters a room filled with men gathered around a table; most of them are wearing similar attire of light shirts and ties. Some men are seated while others stand, with one man perched on the table hold... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man in a shirt and tie looks distressed, with sweat stains under his arms; he then walks into a room where several men are gathered around a table discussing something. The atmosphere appears tense and serious. |
scene_001_12_Angry_Men_(7_10)_Movie_CLIP_-_Down_&_In_(1957)_HD | 4.879718 | {'frame_00:00.png': 5.414283275604248, 'frame_00:01.png': 5.455104827880859, 'frame_00:02.png': 5.237608909606934, 'frame_00:03.png': 4.354500770568848, 'frame_00:04.png': 4.446122169494629, 'frame_00:05.png': 4.370686054229736} | 12_Angry_Men_(7_10)_Movie_CLIP_-_Down_&_In_(1957)_HD | -0.040601 | 0.599342 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial ligh... | 8.166667 | 6.666667 | 0 | {0: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_... | 0.019524 | [-1 1 1 -1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 1 1 1
1 1] | https://youtube.com/watch?v=U44_sEUJROI | scene_001 | 1 | 3,401 | 3,761 | 00:02:21.850 | 00:02:36.865 | 141.850184 | 156.865199 | 15.015015 | 141.850184 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man with short blond hair and wearing a white button-down shirt and striped tie is seated in a room, looking directly at something out of frame with a serious expression that slowly turns to one of disgust. The shot is captured in close-up, emphasizing the changing expression on his face as he listens. The background... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man expresses concern and then disgust in a claustrophobic setting. The scene, in black and white, suggests a tense and dramatic atmosphere. |
scene_001_12_Angry_Men_(8_10)_Movie_CLIP_-_These_People_(1957)_HD | 4.678467 | {'frame_00:00.png': 4.828806400299072, 'frame_00:01.png': 4.6218414306640625, 'frame_00:02.png': 4.643095016479492, 'frame_00:03.png': 4.971719741821289, 'frame_00:04.png': 4.973073482513428, 'frame_00:05.png': 4.469837188720703, 'frame_00:06.png': 4.698891639709473, 'frame_00:07.png': 4.792659759521484, 'frame_00:08.p... | 12_Angry_Men_(8_10)_Movie_CLIP_-_These_People_(1957)_HD | -0.180555 | 0.093635 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial ligh... | 3.454545 | 2.090909 | 0 | {0: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 1: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_... | 0.003939 | [-1 1 1 -1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=TXlHKTPfLVA | scene_001 | 1 | 95 | 622 | 00:00:03.962 | 00:00:25.943 | 3.962296 | 25.942609 | 21.980314 | 3.962296 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | An older man with a receding hairline, wearing a light shirt and tie, is seated at a table among a group of men in what appears to be a jury room; he's initially seated and leaning forward intensely, then stands up and addresses the rest of the group; he gestures emphatically as he speaks, his face conveying a mix of f... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | An older man in a shirt and tie stands and speaks emotionally at a table surrounded by other men, some of whom seem thoughtful, others indifferent. The scene unfolds in a black and white, formal setting, suggesting a tense meeting or deliberation. |
scene_001_12_Angry_Men_(9_10)_Movie_CLIP_-_Nose_Marks_(1957)_HD | 5.083549 | {'frame_00:00.png': 5.237451553344727, 'frame_00:01.png': 5.036996364593506, 'frame_00:02.png': 5.179316997528076, 'frame_00:03.png': 5.1079559326171875, 'frame_00:04.png': 5.061052322387695, 'frame_00:05.png': 5.197022438049316, 'frame_00:06.png': 5.100465774536133, 'frame_00:07.png': 5.0538716316223145, 'frame_00:08.... | 12_Angry_Men_(9_10)_Movie_CLIP_-_Nose_Marks_(1957)_HD | 0.053371 | 0.509389 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>':... | 3.733333 | 2.733333 | 0.066667 | {0: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 1: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 2: {'raw_... | 0.06687 | [-1 1 1 -1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=RGF6Qyvz2no | scene_001 | 1 | 79 | 439 | 00:00:03.295 | 00:00:18.310 | 3.294962 | 18.309977 | 15.015015 | 3.294962 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A black and white film scene unfolds, showcasing a tense meeting between three men seated around a table, where one man, wearing a light suit and tie, speaks intently with a slight smile, engaging with another man whose gray hair is visible from behind, while the third man, older and balding with a matching shirt and t... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of men sit in a dimly lit room, engaged in what appears to be a serious conversation or deliberation. The scene suggests a tense or contemplative mood, conveyed through the actors' expressions and the confined setting. |
scene_001_12_Monkeys_(10_10)_Movie_CLIP_-_Zoo_Animals_Run_Free_(1995)_HD | 4.798472 | {'frame_00:00.png': 4.982005596160889, 'frame_00:01.png': 4.866258144378662, 'frame_00:02.png': 4.870837688446045, 'frame_00:03.png': 5.3142008781433105, 'frame_00:04.png': 5.238567352294922, 'frame_00:05.png': 5.354987621307373, 'frame_00:06.png': 5.286911964416504, 'frame_00:07.png': 4.663055419921875, 'frame_00:08.p... | 12_Monkeys_(10_10)_Movie_CLIP_-_Zoo_Animals_Run_Free_(1995)_HD | -0.107366 | 3.262208 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION... | 1.066667 | 0.066667 | 0.8 | {0: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'dog': 1, 'total... | 0.098688 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 1 1 1 1
1 1] | https://youtube.com/watch?v=HigxGvmHEdQ | scene_001 | 1 | 193 | 553 | 00:00:08.050 | 00:00:23.065 | 8.049716 | 23.064731 | 15.015015 | 8.049716 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The video presents a series of exterior shots depicting various animals set against the urban landscape of Philadelphia. It opens with statues of animals in a park setting, with the Philadelphia skyline visible in the background. As the scene evolves, a tiger-striped creature suddenly emerges and runs down the steps of... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene depicts a city landscape with statues, followed by an elephant walking over a bridge. The elephant later roams through a building, creating an eerie atmosphere.
|
scene_001_12_Monkeys_(1_10)_Movie_CLIP_-_The_Scientists'_Offer_(1995)_HD | 4.874131 | {'frame_00:00.png': 5.081971168518066, 'frame_00:01.png': 5.110136985778809, 'frame_00:02.png': 5.030531883239746, 'frame_00:03.png': 5.081744194030762, 'frame_00:04.png': 5.014589786529541, 'frame_00:05.png': 4.944934844970703, 'frame_00:06.png': 4.819888114929199, 'frame_00:07.png': 4.902754306793213, 'frame_00:08.pn... | 12_Monkeys_(1_10)_Movie_CLIP_-_The_Scientists'_Offer_(1995)_HD | 0.018699 | 5.228823 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical li... | 2.933333 | 2.666667 | 0 | {0: {'raw_counts': {'person': 6, 'clock': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 1: {'raw_counts': {'person': 7, 'clock': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 2: {'... | 0.078113 | [-1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 1 1 1 1
1 1] | https://youtube.com/watch?v=TpGPSRGrL3s | scene_001 | 1 | 121 | 481 | 00:00:05.047 | 00:00:20.062 | 5.046713 | 20.061728 | 15.015015 | 5.046713 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene opens on a room filled with complex machinery and seven figures, all pale and dressed in similar attire, operating various devices; the room is dimly lit, giving a ghostly appearance to the figures and the equipment. The camera shifts to three individuals standing in a sterile, metallic environment, one being... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A dark and gritty scene depicts a group of blue-skinned individuals operating complex machinery in a dimly lit room, followed by close-ups of blue-skinned men with medical equipment and walls covered with news clippings. The scene conveys a sense of urgency and medical or scientific intrigue with its intense lighting a... |
scene_001_12_Monkeys_(2_10)_Movie_CLIP_-_Cole_Meets_Kathryn_(1995)_HD | 4.351298 | {'frame_00:00.png': 4.384445667266846, 'frame_00:01.png': 4.297840595245361, 'frame_00:02.png': 4.409902572631836, 'frame_00:03.png': 4.103270053863525, 'frame_00:04.png': 4.329988956451416, 'frame_00:05.png': 4.249727725982666, 'frame_00:06.png': 4.220478057861328, 'frame_00:07.png': 4.503323554992676, 'frame_00:08.pn... | 12_Monkeys_(2_10)_Movie_CLIP_-_Cole_Meets_Kathryn_(1995)_HD | -0.013036 | 2.663552 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial... | 2.133333 | 2.066667 | 0.066667 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 2: {'raw_counts': {'person': ... | 0.045205 | [-1 1 1 1 1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=e4yCxKv-2qw | scene_001 | 1 | 135 | 495 | 00:00:05.631 | 00:00:20.646 | 5.630631 | 20.645646 | 15.015015 | 5.630631 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a dimly lit room with a wire mesh background, a person with a bald head and covered in what appears to be liquid metal sits facing away from the camera while another person with long brown hair sits beside them. The long-haired person is wearing a brown long-sleeved shirt. They converse, looking at each other. T... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman with long hair sits across from a bald man in a dimly lit, confined space, their faces subtly illuminated with an eerie blue tint. She is engaged in conversation, occasionally gesturing with her hands, while the man's head is bowed, his posture suggesting a moment of introspection or subdued response. |
scene_001_12_Monkeys_(3_10)_Movie_CLIP_-_Plague_of_Madness_(1995)_HD | 4.788293 | {'frame_00:00.png': 4.2447686195373535, 'frame_00:01.png': 4.308000087738037, 'frame_00:02.png': 4.181947231292725, 'frame_00:03.png': 4.486663341522217, 'frame_00:04.png': 4.335752964019775, 'frame_00:05.png': 4.701298713684082, 'frame_00:06.png': 4.630196571350098, 'frame_00:07.png': 4.674369812011719, 'frame_00:08.p... | 12_Monkeys_(3_10)_Movie_CLIP_-_Plague_of_Madness_(1995)_HD | 0.867333 | 6.450585 | {'frame_00:00.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], ... | 2.4 | 2.266667 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.050168 | [-1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=9l_U2xXb9VI | scene_001 | 1 | 108 | 468 | 00:00:04.505 | 00:00:19.520 | 4.504505 | 19.51952 | 15.015015 | 4.504505 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A person sits in a black recliner, covered in blue and white patterned fabrics, face initially obscured by the fabrics. The fabrics are gradually removed to reveal a person with blue skin, wearing a blue and white outfit, who looks up and to the side with a surprised expression. The camera angle shifts to an overhead v... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person sits in a chair wrapped in a blanket, then sheds the blanket and other clothing, revealing blue skin; next, two blue-skinned people are walking. The scene has a strange and surreal atmosphere. |
scene_001_12_Monkeys_(4_10)_Movie_CLIP_-_Institutionalized_With_Jeffrey_(1995)_HD | 4.906564 | {'frame_00:00.png': 5.097665309906006, 'frame_00:01.png': 4.4115447998046875, 'frame_00:02.png': 4.842085361480713, 'frame_00:03.png': 4.492862224578857, 'frame_00:04.png': 4.575067520141602, 'frame_00:05.png': 5.499263763427734, 'frame_00:06.png': 5.4581499099731445, 'frame_00:07.png': 5.360942363739014, 'frame_00:08.... | 12_Monkeys_(4_10)_Movie_CLIP_-_Institutionalized_With_Jeffrey_(1995)_HD | -0.058968 | 1.320935 | {'frame_00:00.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}... | 3.8 | 3.733333 | 0.066667 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.043323 | [ 1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=wcztDZ13TLI | scene_001 | 1 | 635 | 995 | 00:00:26.485 | 00:00:41.500 | 26.484818 | 41.499833 | 15.015015 | 26.484818 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene is bathed in a cool, blue filter, creating an unsettling atmosphere. A man with short, light hair and a neutral expression speaks intently to a bald man, his face close to the camera. The bald man’s head is adorned with faint markings. They stand near a barred window or gate. The scene shifts to the bald man ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene unfolds in a psychiatric facility with a stark, washed-out color palette as one patient animatedly gestures and speaks to another bald man, while doctors are seen attending to other patients in the background. The visuals are eerie, with all characters presented in shades of blue, creating an unsettling atmos... |
scene_001_12_Monkeys_(5_10)_Movie_CLIP_-_Explaining_to_the_Doctors_(1995)_HD | 4.818534 | {'frame_00:00.png': 4.81479549407959, 'frame_00:01.png': 4.789970397949219, 'frame_00:02.png': 4.750145435333252, 'frame_00:03.png': 4.763205051422119, 'frame_00:04.png': 4.756558418273926, 'frame_00:05.png': 4.807897090911865, 'frame_00:06.png': 4.56063985824585, 'frame_00:07.png': 4.893210411071777, 'frame_00:08.png'... | 12_Monkeys_(5_10)_Movie_CLIP_-_Explaining_to_the_Doctors_(1995)_HD | -0.234179 | 7.505664 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<... | 10.090909 | 5.590909 | 0 | {0: {'raw_counts': {'person': 6, 'cup': 1, 'dining table': 1, 'cell phone': 1, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 10}}, 1: {'raw_counts': {'person': 7, 'tie': 3, 'fork': 1, 'cup': 1, 'laptop': 1, 'dining table': 1, 'handbag': 1, 'cell p... | 0.120162 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
1 1] | https://youtube.com/watch?v=q74RKOmIjC8 | scene_001 | 1 | 98 | 625 | 00:00:04.087 | 00:00:26.068 | 4.087421 | 26.067734 | 21.980314 | 4.087421 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A group of blue-skinned individuals are gathered around a table, seemingly engaged in a meeting. Most of them are wearing white lab coats, while one is dressed in a brown suit. The table is cluttered with various items, including files, a typewriter, and some small metallic objects. A woman, also with blue skin, sits s... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Blue-skinned scientists in lab coats engage in a meeting around a table, with one standing and presenting documents. The scene is cast in a hazy, surreal light.
|
scene_001_12_Monkeys_(6_10)_Movie_CLIP_-_Eating_a_Spider_(1995)_HD | 4.5529 | {'frame_00:00.png': 4.769765853881836, 'frame_00:01.png': 4.9936842918396, 'frame_00:02.png': 4.964532375335693, 'frame_00:03.png': 4.709322452545166, 'frame_00:04.png': 4.650655269622803, 'frame_00:05.png': 4.536502361297607, 'frame_00:06.png': 4.6338629722595215, 'frame_00:07.png': 4.642998218536377, 'frame_00:08.png... | 12_Monkeys_(6_10)_Movie_CLIP_-_Eating_a_Spider_(1995)_HD | 0.003823 | 1.246934 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Ce... | 1.133333 | 0.933333 | 0.2 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': 1, 'total': 1... | 0.037117 | [-1 1 1 1 1 1 1 -1 -1 1 -1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=eb46yXP211w | scene_001 | 1 | 73 | 433 | 00:00:03.045 | 00:00:18.060 | 3.044711 | 18.059726 | 15.015015 | 3.044711 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man with a surprised expression peers through a metal grid with wide eyes and an open mouth, his face illuminated by a cool, blue light, focusing on something out of frame; the camera then shifts to an adjacent hospital bed where another man lies, seemingly oblivious to the staring man behind the metal frame; the man... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man looks through a barred window with shock or fear in his face, as if he is captive; an additional character watches him from behind a curtain. The scene is imbued with blue lighting and a tense atmosphere.
|
scene_001_12_Monkeys_(7_10)_Movie_CLIP_-_The_Great_Escape_(1995)_HD | 4.950435 | {'frame_00:00.png': 4.974245071411133, 'frame_00:01.png': 4.87891960144043, 'frame_00:02.png': 5.121514797210693, 'frame_00:03.png': 5.138129234313965, 'frame_00:04.png': 5.1343674659729, 'frame_00:05.png': 5.131857872009277, 'frame_00:06.png': 5.200530052185059, 'frame_00:07.png': 4.887360572814941, 'frame_00:08.png':... | 12_Monkeys_(7_10)_Movie_CLIP_-_The_Great_Escape_(1995)_HD | -0.349216 | 2.65797 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITI... | 4.466667 | 4.266667 | 0 | {0: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 1: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 2: {'raw_counts': {'person': ... | -0.016789 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=cu_A-aG8G7U | scene_001 | 1 | 121 | 481 | 00:00:05.047 | 00:00:20.062 | 5.046713 | 20.061728 | 15.015015 | 5.046713 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds within a dimly lit, cavernous room resembling an asylum, where individuals in patient attire are scattered. A man with a shaved head and visible bruising on his face sits at a table, engaged in conversation with another man seated to his right, who initially laughs and gestures animatedly. Their skin ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two people sit in a room filled with other individuals, while a television displays a polar bear standing amidst some natural setting. They speak to one another, their faces expressing varied reactions from amusement to seriousness.
|
scene_001_12_Rounds_3__Lockdown_(2015)_-_Firing_Policy_Scene_(2_5)_|_Movieclips | 4.753153 | {'frame_00:00.png': 5.0553083419799805, 'frame_00:01.png': 5.0733642578125, 'frame_00:02.png': 5.210938930511475, 'frame_00:03.png': 4.452125072479248, 'frame_00:04.png': 4.505700588226318, 'frame_00:05.png': 4.575460433959961, 'frame_00:06.png': 4.554178237915039, 'frame_00:07.png': 4.70183801651001, 'frame_00:08.png'... | 12_Rounds_3__Lockdown_(2015)_-_Firing_Policy_Scene_(2_5)_|_Movieclips | 0.031188 | 0.145509 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOS... | 1.4 | 0.8 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.014502 | [-1 1 1 -1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=8PALGqaFoFI | scene_001 | 1 | 99 | 459 | 00:00:04.129 | 00:00:19.144 | 4.129129 | 19.144144 | 15.015015 | 4.129129 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man is shown in a dimly lit room, his face illuminated with a bluish tint. He looks to his right with his mouth slightly open and one eye squinting. The image cuts to a screen displaying security footage of a room cluttered with desks and equipment. The scene then shifts to another man crouched in a similar cluttered... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man is watching a monitor displaying another man looking frantically around a room. The man observing the monitor appears serious and intense, as though watching something suspenseful unfold. |
scene_001_12_Rounds_3__Lockdown_(2015)_-_Hard_Wired_Scene_(3_5)_|_Movieclips | 4.70997 | {'frame_00:00.png': 4.83579158782959, 'frame_00:01.png': 4.557921886444092, 'frame_00:02.png': 4.7820725440979, 'frame_00:03.png': 4.7803568840026855, 'frame_00:04.png': 4.8952555656433105, 'frame_00:05.png': 4.446412563323975, 'frame_00:06.png': 4.5547027587890625, 'frame_00:07.png': 4.370762825012207, 'frame_00:08.pn... | 12_Rounds_3__Lockdown_(2015)_-_Hard_Wired_Scene_(3_5)_|_Movieclips | 0.025054 | 0.817162 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low co... | 1.133333 | 0.933333 | 0.066667 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.029719 | [ 1 1 1 -1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=sPlsA3_6hB8 | scene_001 | 1 | 33 | 393 | 00:00:01.376 | 00:00:16.391 | 1.376376 | 16.391391 | 15.015015 | 1.376376 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man in a dimly lit environment is engaged in a phone call while walking, the scene filled with smoke and fog, obscuring the background. Another person is seen with a look of distress while on the phone as well. The first man is then shown holding a flashlight and walking through a corridor filled with smoke. Later, a... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man speaks on a phone as he walks along an alley before the scene cuts to law enforcement who appear to be searching the area. One woman is looking at her phone and appears distressed, while law enforcement officers are walking through a smoky alleyway.
|
scene_001_12_Rounds_3__Lockdown_(2015)_-_I_Don't_Play_Nice_Scene_(5_5)_|_Movieclips | 4.817068 | {'frame_00:00.png': 4.273163318634033, 'frame_00:01.png': 4.811917304992676, 'frame_00:02.png': 4.472925662994385, 'frame_00:03.png': 4.365703582763672, 'frame_00:04.png': 4.299278736114502, 'frame_00:05.png': 4.223677635192871, 'frame_00:06.png': 5.569897651672363, 'frame_00:07.png': 5.657676696777344, 'frame_00:08.pn... | 12_Rounds_3__Lockdown_(2015)_-_I_Don't_Play_Nice_Scene_(5_5)_|_Movieclips | -0.035964 | 0.165719 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Arti... | 1.133333 | 1.133333 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.067044 | [ 1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 1 1 1 1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=ZdhLQ1toP9s | scene_001 | 1 | 61 | 421 | 00:00:02.544 | 00:00:17.559 | 2.544211 | 17.559226 | 15.015015 | 2.544211 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a dimly lit corridor, a person with long, dark hair stands pointing a handgun directly forward, illuminated by a cold, blue light, while a man in a dark shirt approaches from the right, moving into the gun's line of fire, his face partly obscured by shadows, his expression unreadable, an American flag visible on the... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman emerges, aiming a handgun with a determined expression, as a man turns to face her in a dimly lit indoor setting, setting a tone of tense confrontation. The scene is captured with dramatic lighting. |
scene_001_12_Rounds_3__Lockdown_(2015)_-_Rookie_Mistake_Scene_(4_5)_|_Movieclips | 4.987336 | {'frame_00:00.png': 4.496850490570068, 'frame_00:01.png': 4.547931671142578, 'frame_00:02.png': 4.520503520965576, 'frame_00:03.png': 4.57069730758667, 'frame_00:04.png': 5.025041580200195, 'frame_00:05.png': 5.073920249938965, 'frame_00:06.png': 5.211170673370361, 'frame_00:07.png': 4.745025157928467, 'frame_00:08.png... | 12_Rounds_3__Lockdown_(2015)_-_Rookie_Mistake_Scene_(4_5)_|_Movieclips | -0.001859 | 0.09893 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhou... | 1.954545 | 1.863636 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.133213 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=AQpPxTYahZo | scene_001 | 1 | 355 | 882 | 00:00:14.806 | 00:00:36.787 | 14.806473 | 36.786787 | 21.980314 | 14.806473 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a drab corridor, two men enter through a doorway; the first man is wearing a police uniform and the second man is wearing a dark-red prisoner's jumpsuit. The officer escorts the prisoner into the corridor, then stops abruptly and engages the man face to face. The prisoner takes a police radio from the officer's ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A police officer leads a handcuffed man into a gray concrete hallway, where the man grabs the officer's radio. They stand face to face. |
scene_001_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Take_Out_the_Technical_Scene_(3_10)_|_Movieclips | 4.684954 | {'frame_00:00.png': 4.731707572937012, 'frame_00:01.png': 4.763834476470947, 'frame_00:02.png': 4.530699253082275, 'frame_00:03.png': 4.788076877593994, 'frame_00:04.png': 4.404503345489502, 'frame_00:05.png': 4.790849208831787, 'frame_00:06.png': 3.855900764465332, 'frame_00:07.png': 4.613784313201904, 'frame_00:08.pn... | 13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Take_Out_the_Technical_Scene_(3_10)_|_Movieclips | -0.091962 | 1.411023 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green, Cyan'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Green, Cyan'}, {'<LIGHTING>': 'Hig... | 2.2 | 1.666667 | 0 | {0: {'raw_counts': {'car': 1, 'person': 4, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}, 1: {'raw_counts': {'car': 1, 'person': 2, 'handbag': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 1, 'total': ... | 0.034451 | [-1 1 1 -1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=EL3Ma917bug | scene_001 | 1 | 28 | 388 | 00:00:01.168 | 00:00:16.183 | 1.167835 | 16.18285 | 15.015015 | 1.167835 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a dimly lit urban street at night, a group of armed figures advance cautiously past a weathered taxi with a shattered windshield and a stately lion statue. The camera cuts to a man with blue face paint, ammunition belts across his chest, using a rope to descend a wall into darkness. The scene shifts to the front of ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | At night, armed figures creep down a street near a wrecked car and scale a wall. Then they run through the front yard of a building with blue lights shining through the windows. |
scene_001_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_They're_With_Us_Scene_(10_10)_|_Movieclips | 4.663744 | {'frame_00:00.png': 4.769315719604492, 'frame_00:01.png': 4.704561233520508, 'frame_00:02.png': 4.888247489929199, 'frame_00:03.png': 4.517819404602051, 'frame_00:04.png': 4.681520462036133, 'frame_00:05.png': 4.825351238250732, 'frame_00:06.png': 4.856815814971924, 'frame_00:07.png': 4.810491561889648, 'frame_00:08.pn... | 13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_They're_With_Us_Scene_(10_10)_|_Movieclips | 0.406274 | 0.445286 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Green, Cyan, Blue'}, {... | 1.266667 | 0.4 | 0 | {0: {'raw_counts': {'person': 1, 'chair': 1, 'bench': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 1: {'raw_counts': {'person': 1, 'bench': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total'... | 0.050082 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=OxBd2RQI4eQ | scene_001 | 1 | 71 | 431 | 00:00:02.961 | 00:00:17.976 | 2.961295 | 17.97631 | 15.015015 | 2.961295 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | At dusk, against a skyline punctuated by buildings and palm trees, an armed soldier stands guard near communication equipment, with plumes of dust rising in the distance. The scene shifts to street level, where a convoy of pickup trucks, bearing armed figures and flags, moves through the dimly lit streets, headlights c... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | In a Middle Eastern setting at night, armed soldiers stand guard on a rooftop, while vehicles with mounted weapons and flags patrol the dark streets below. The scene conveys a tense, militarized atmosphere under the dim lights and distant glow of the city.
|
scene_001_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Welcome_to_Benghazi_Scene_(1_10)_|_Movieclips | 4.830456 | {'frame_00:00.png': 4.153347015380859, 'frame_00:01.png': 4.141191482543945, 'frame_00:02.png': 4.872771739959717, 'frame_00:03.png': 5.068994522094727, 'frame_00:04.png': 4.717109203338623, 'frame_00:05.png': 4.835135459899902, 'frame_00:06.png': 4.965688705444336, 'frame_00:07.png': 4.833265781402588, 'frame_00:08.pn... | 13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Welcome_to_Benghazi_Scene_(1_10)_|_Movieclips | 0.161503 | 0.703113 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}... | 2.733333 | 2.133333 | 0.066667 | {0: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 1: {'raw_counts': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'car': 1, 'p... | 0.06861 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 -1 -1 1 1 1 1 1 -1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=hgqJjr7pBa0 | scene_001 | 1 | 70 | 430 | 00:00:02.920 | 00:00:17.935 | 2.919586 | 17.934601 | 15.015015 | 2.919586 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A series of cinematic shots bathed in an eerie blue light depict a chaotic scene as people flee down a crowded street, with vehicles scattered haphazardly, followed by shots inside a dimly lit building, showing men communicating urgently with walkie-talkies and observing unfolding events. The sequence transitions to tw... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of men are seen running through what appears to be a busy street with chaotic energy, followed by an indoor scene with men communicating and surveying a room filled with equipment, all under a blue-toned light. The scenes are interspersed with close-ups of faces and moments of intense focus.
|
scene_001_2001__A_Space_Odyssey_(1968)_-_Hal_Reads_Lips_Scene_(2_6)_|_Movieclips | 5.43238 | {'frame_00:00.png': 5.341036796569824, 'frame_00:01.png': 5.433088302612305, 'frame_00:02.png': 5.362034797668457, 'frame_00:03.png': 5.416367530822754, 'frame_00:04.png': 5.498258590698242, 'frame_00:05.png': 5.436662673950195, 'frame_00:06.png': 5.449106216430664, 'frame_00:07.png': 5.44413948059082, 'frame_00:08.png... | 2001__A_Space_Odyssey_(1968)_-_Hal_Reads_Lips_Scene_(2_6)_|_Movieclips | 0.117079 | 0.665904 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, ... | 3.818182 | 2.227273 | 0 | {0: {'raw_counts': {'train': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'train': 1, 'person': 3, 'motorcycle': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 5}}, 2... | 0.068547 | [-1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 -1 -1 -1 1 1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=XDO8OYnmkNY | scene_001 | 1 | 123 | 650 | 00:00:05.130 | 00:00:27.110 | 5.13013 | 27.110444 | 21.980314 | 5.13013 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two individuals are situated within the confines of a spaceship cockpit, their forms illuminated by an otherworldly blue lighting that casts an ethereal glow upon their features. Facing each other, their gaze is drawn towards the array of monitors and controls that line the dashboard, suggesting an engagement with comp... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Inside the cockpit, two figures are bathed in blue light as they focus intently on the control panel and viewscreen, creating a scene of tense anticipation and technological immersion. The dark surroundings amplify the focused attention on the pilots and the machinery of the spacecraft.
|
scene_001_2001__A_Space_Odyssey_(1968)_-_I'm_Afraid_Scene_(4_6)_|_Movieclips | 5.110274 | {'frame_00:00.png': 5.238840103149414, 'frame_00:01.png': 5.4335784912109375, 'frame_00:02.png': 5.341592788696289, 'frame_00:03.png': 5.380237579345703, 'frame_00:04.png': 5.230226039886475, 'frame_00:05.png': 5.2784423828125, 'frame_00:06.png': 4.4801740646362305, 'frame_00:07.png': 5.241800308227539, 'frame_00:08.pn... | 2001__A_Space_Odyssey_(1968)_-_I'm_Afraid_Scene_(4_6)_|_Movieclips | 0.028231 | 0.192654 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Top l... | 0.4 | 0.4 | 0 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'hu... | -0.033903 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 -1 -1 1 1 1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=HH37JTBpi2A | scene_001 | 1 | 339 | 699 | 00:00:14.139 | 00:00:29.154 | 14.139139 | 29.154154 | 15.015015 | 14.139139 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a room dominated by blue lighting, a person wearing what appears to be a blue spacesuit moves from a crouched position to standing upright. The room is characterized by a grid pattern on the floor and ceiling, and illuminated panels or light fixtures adorn the walls. The blue hue casts long shadows, enhancing the ge... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | An astronaut floats through a blue-lit, futuristic corridor. The scene features dramatic lighting and a sense of zero gravity.
|
scene_001_2001__A_Space_Odyssey_(1968)_-_I'm_Sorry,_Dave_Scene_(3_6)_|_Movieclips | 5.274616 | {'frame_00:00.png': 4.913125038146973, 'frame_00:01.png': 4.927730560302734, 'frame_00:02.png': 4.970186233520508, 'frame_00:03.png': 4.900774002075195, 'frame_00:04.png': 4.929287433624268, 'frame_00:05.png': 5.500960826873779, 'frame_00:06.png': 5.4692487716674805, 'frame_00:07.png': 5.418425559997559, 'frame_00:08.p... | 2001__A_Space_Odyssey_(1968)_-_I'm_Sorry,_Dave_Scene_(3_6)_|_Movieclips | 0.171425 | 0.910081 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Blue, Magenta'}, {'<LIGH... | 1.4 | 0.133333 | 0.533333 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'tv': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 2: {'raw_counts': {'tv': 1, 'total': 1}, 'buck... | 0.041112 | [ 1 1 1 1 1 1 1 -1 1 1 -1 1 1 -1 1 -1 1 1 -1 1 -1 1 1 1
1 1] | https://youtube.com/watch?v=Wy4EfdnMZ5g | scene_001 | 1 | 99 | 459 | 00:00:04.129 | 00:00:19.144 | 4.129129 | 19.144144 | 15.015015 | 4.129129 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | From the interior of a spaceship cockpit, a smaller spacecraft is seen drifting in space, positioned above a control panel featuring various illuminated displays. The viewpoint shifts to an exterior shot, showcasing the smaller spacecraft alongside a much larger, spherical spacecraft, with a long, segmented structure a... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | From a spaceship cockpit, the video cuts to a shot of a spherical spacecraft approaching a larger spaceship in the vast darkness of space, followed by a final shot of an astronaut bathed in blue light. The visuals evoke a sense of space exploration and the unknown.
|
scene_001_2001__A_Space_Odyssey_Movie_CLIP_-_A_Conversation_with_HAL_(1968)_HD | 4.843811 | {'frame_00:00.png': 5.005901336669922, 'frame_00:01.png': 5.036324501037598, 'frame_00:02.png': 5.004247188568115, 'frame_00:03.png': 5.01450252532959, 'frame_00:04.png': 4.309031963348389, 'frame_00:05.png': 4.341968059539795, 'frame_00:06.png': 4.40882682800293, 'frame_00:07.png': 4.507153511047363, 'frame_00:08.png'... | 2001__A_Space_Odyssey_Movie_CLIP_-_A_Conversation_with_HAL_(1968)_HD | -0.01563 | 0.745078 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Red, Orange, Yellow, Blue'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Red, Orange, Yellow, Blue'}, {'<LIGHTING>':... | 1.6 | 0.733333 | 0 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'hu... | 0.084608 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=r13I-TuDcWI | scene_001 | 1 | 137 | 497 | 00:00:05.714 | 00:00:20.729 | 5.714047 | 20.729062 | 15.015015 | 5.714047 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A close-up shot reveals a dark, rectangular device with a circular indentation housing a bright blue light, suggesting an advanced technology interface; the perspective shifts to a fisheye view inside a spaceship control room, where a figure with a blue complexion, clad in a uniformed jumpsuit, is seated, manipulating ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A glowing blue light is shown, followed by an astronaut looking through documents in the spaceship. The astronaut pulls out a photo and looks closely at it. |
scene_001_200_Dollars_-_Paper_Moon_(1_8)_Movie_CLIP_(1973)_HD | 4.929427 | {0: 5.122940540313721, 1: 5.1056013107299805, 2: 4.832282543182373, 3: 4.782811641693115, 4: 4.711456775665283, 5: 4.817266941070557, 6: 4.689218521118164, 7: 4.931094169616699, 8: 4.905111312866211, 9: 5.260753631591797, 10: 5.25410270690918, 11: 5.208205223083496, 12: 4.792738437652588, 13: 4.78076171875, 14: 4.74706... | 200_Dollars_-_Paper_Moon_(1_8)_Movie_CLIP_(1973)_HD | 0.139835 | 2.504112 | {0: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 1: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heav... | 2.533333 | 2 | 0 | {0: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_... | 0.037173 | [-1 1 1 -1 1 1 1 -1 -1 1 -1 1 1 -1 1 -1 1 1 1 -1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=VBA_fhQoArA | scene_001 | 1 | 83 | 443 | 00:00:03.462 | 00:00:18.477 | 3.461795 | 18.47681 | 15.015015 | 3.461795 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A black-and-white scene shows a man with a mustache and a fedora, wearing a pinstripe suit, talking at a diner table; the camera zooms in for a close-up shot of the man with a closed sign visible in the background through the diner window. Cut to a close-up of a child wearing a patterned cap and overalls, seated at the... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man in a suit and hat speaks to a child wearing a headscarf while they are in a diner. The scene is black and white, depicting an older time period. |
scene_001_21_(2008)_-_Beaten_by_the_Pit_Boss_Scene_(7_10)_|_Movieclips | 5.203169 | {'frame_00:00.png': 5.269342422485352, 'frame_00:01.png': 5.601348400115967, 'frame_00:02.png': 5.380644798278809, 'frame_00:03.png': 5.583101749420166, 'frame_00:04.png': 4.95896053314209, 'frame_00:05.png': 5.047225475311279, 'frame_00:06.png': 5.2572832107543945, 'frame_00:07.png': 5.283653736114502, 'frame_00:08.pn... | 21_(2008)_-_Beaten_by_the_Pit_Boss_Scene_(7_10)_|_Movieclips | 0.080643 | 2.416708 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Art... | 5.733333 | 4.666667 | 0 | {0: {'raw_counts': {'tie': 1, 'person': 5, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 1: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 2: {'raw_... | 0.126921 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=f30Twj23WqI | scene_001 | 1 | 35 | 395 | 00:00:01.460 | 00:00:16.475 | 1.459793 | 16.474808 | 15.015015 | 1.459793 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a dimly lit casino, three individuals are seated at a table, illuminated by a cool, blue light. A dark-suited man stands behind them, observing the scene with a serious expression. The camera captures a close-up as two additional figures appear in the background, also bathed in the blue light, enhancing the intense ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of people are gathered around a table, illuminated by blue lighting, as they seem to be involved in some kind of tense discussion, possibly regarding a card game. The lighting creates a cool and somewhat mysterious atmosphere.
|
scene_001_21_(2008)_-_Counting_Cards_Scene_(5_10)_|_Movieclips | 4.763472 | {'frame_00:00.png': 4.278361797332764, 'frame_00:01.png': 4.414696216583252, 'frame_00:02.png': 4.813952922821045, 'frame_00:03.png': 5.012833595275879, 'frame_00:04.png': 4.792396545410156, 'frame_00:05.png': 5.429398536682129, 'frame_00:06.png': 5.303920269012451, 'frame_00:07.png': 5.033622741699219, 'frame_00:08.pn... | 21_(2008)_-_Counting_Cards_Scene_(5_10)_|_Movieclips | 0.154968 | 0.769736 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'... | 1.6 | 1.333333 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.14349 | [ 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=MlCYBrLOP3A | scene_001 | 1 | 118 | 478 | 00:00:04.922 | 00:00:19.937 | 4.921588 | 19.936603 | 15.015015 | 4.921588 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man in a blue shirt is seen in profile, looking off to the side, followed by the close-up of an Asian woman who appears to be distressed and on the verge of tears. Then another man is shown looking contemplatively with neutral expression. A pair of hands then appear, holding up a paper with the word "Sweet" on it. It... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene unfolds with a blue-lit atmosphere, featuring a man glancing to the side, followed by a woman displaying an expression of distress and then a man looking down before holding up a note. The sequence concludes with a view of a blackjack table.
|
scene_001_21_(2008)_-_Double-Con_Scene_(10_10)_|_Movieclips | 5.369172 | {'frame_00:00.png': 5.181396484375, 'frame_00:01.png': 5.293979644775391, 'frame_00:02.png': 5.238371849060059, 'frame_00:03.png': 5.048433780670166, 'frame_00:04.png': 5.307712554931641, 'frame_00:05.png': 5.5432047843933105, 'frame_00:06.png': 5.741918087005615, 'frame_00:07.png': 5.6857147216796875, 'frame_00:08.png... | 21_(2008)_-_Double-Con_Scene_(10_10)_|_Movieclips | -0.141276 | 3.025056 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artifi... | 2.333333 | 1.733333 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {... | 0.135513 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=pz_yVthhLTE | scene_001 | 1 | 128 | 488 | 00:00:05.339 | 00:00:20.354 | 5.338672 | 20.353687 | 15.015015 | 5.338672 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man and woman stand in a dimly lit tunnel with a car in the background as another man walks toward the camera with a serious expression, the scene is awash in hues of blues, purples, and reds, lending a surreal and somewhat ominous atmosphere, the tunnel's architecture features rows of overhead lights that contribute... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two people walk in a dimly lit location when a man in a suit approaches; everyone in the scene has been made blue. All three figures stand and look in the direction of the camera as the scene progresses.
|
scene_001_21_(2008)_-_Drunken_Fight_Scene_(6_10)_|_Movieclips | 4.895214 | {'frame_00:00.png': 4.686678409576416, 'frame_00:01.png': 3.765371799468994, 'frame_00:02.png': 4.544932842254639, 'frame_00:03.png': 4.675564765930176, 'frame_00:04.png': 4.948118686676025, 'frame_00:05.png': 5.155130863189697, 'frame_00:06.png': 5.0990681648254395, 'frame_00:07.png': 4.919467926025391, 'frame_00:08.p... | 21_(2008)_-_Drunken_Fight_Scene_(6_10)_|_Movieclips | -0.130859 | 0.40956 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTIN... | 3.666667 | 3.133333 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.121326 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=HC4TZdahtgo | scene_001 | 1 | 33 | 393 | 00:00:01.376 | 00:00:16.391 | 1.376376 | 16.391391 | 15.015015 | 1.376376 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene, bathed in a cool blue light, features a man with long hair, sitting at a table, with his hand on his face, lost in thought. The camera pans to a different man, dressed in a suit, sitting among other people in a crowded place, also illuminated by the same blue light. A woman is visible next to the first man. ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene is set in a dimly lit casino with cool, blue lighting, where a group of people are gathered around a gambling table, engaging in a tense game. The atmosphere is charged with anticipation and suspense. |
scene_001_21_(2008)_-_How_to_Count_Cards_Scene_(3_10)_|_Movieclips | 5.009788 | {'frame_00:00.png': 5.099503517150879, 'frame_00:01.png': 5.091385841369629, 'frame_00:02.png': 5.1003031730651855, 'frame_00:03.png': 5.142879486083984, 'frame_00:04.png': 4.909285068511963, 'frame_00:05.png': 4.903903484344482, 'frame_00:06.png': 4.97763729095459, 'frame_00:07.png': 5.031469345092773, 'frame_00:08.pn... | 21_(2008)_-_How_to_Count_Cards_Scene_(3_10)_|_Movieclips | -0.014285 | 1.092434 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Ar... | 6.8 | 5.933333 | 0 | {0: {'raw_counts': {'person': 10, 'train': 1, 'laptop': 1, 'total': 12}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 12}}, 1: {'raw_counts': {'person': 6, 'train': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 't... | 0.117473 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
1 1] | https://youtube.com/watch?v=aiBm3jckAf4 | scene_001 | 1 | 110 | 470 | 00:00:04.588 | 00:00:19.603 | 4.587921 | 19.602936 | 15.015015 | 4.587921 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a dimly lit diner, a group of people occupies a booth, the scene bathed in a cool, blue hue. To the left, a cook stands behind the counter, preparing food near a vintage jukebox casting colorful light. The people in the booth seem engrossed in a quiet discussion, their faces partially obscured by the shadows, cr... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Inside a dimly lit diner, people sit in booths while a cook works behind the counter; the overall mood is subdued and contemplative. A man is captured in close-up, revealing a pensive and somewhat concerned expression. |
scene_001_21_(2008)_-_Illegal_Gambling_Scene_(4_10)_|_Movieclips | 4.517334 | {'frame_00:00.png': 4.353104591369629, 'frame_00:01.png': 4.222606658935547, 'frame_00:02.png': 4.656538009643555, 'frame_00:03.png': 4.026707172393799, 'frame_00:04.png': 4.139082431793213, 'frame_00:05.png': 4.388143062591553, 'frame_00:06.png': 4.881204128265381, 'frame_00:07.png': 4.594566822052002, 'frame_00:08.pn... | 21_(2008)_-_Illegal_Gambling_Scene_(4_10)_|_Movieclips | -0.029989 | 0.967138 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIG... | 2.4 | 2.2 | 0 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'chair': 1, 'person': 1... | 0.039618 | [ 1 1 1 1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=mnrxJ_2sfpU | scene_001 | 1 | 127 | 487 | 00:00:05.297 | 00:00:20.312 | 5.296964 | 20.311979 | 15.015015 | 5.296964 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Through a window decorated with circular designs, two figures are visible having a conversation inside a dimly lit room, then a man walks from a dark hallway into a crowded, smoke-filled gambling room with dramatic lighting, where people are seated around tables, engrossed in games of chance, illuminated by stark overh... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man enters a dimly lit, underground gambling den. The scene features shadowy figures and a tense atmosphere. |
scene_001_21_(2008)_-_Secret_Blackjack_Club_Scene_(2_10)_|_Movieclips | 5.189227 | {'frame_00:00.png': 4.698422431945801, 'frame_00:01.png': 4.740566253662109, 'frame_00:02.png': 5.171271324157715, 'frame_00:03.png': 5.0293989181518555, 'frame_00:04.png': 5.360361099243164, 'frame_00:05.png': 5.369269371032715, 'frame_00:06.png': 5.365159034729004, 'frame_00:07.png': 5.07357931137085, 'frame_00:08.pn... | 21_(2008)_-_Secret_Blackjack_Club_Scene_(2_10)_|_Movieclips | 0.161249 | 0.229415 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'... | 1.266667 | 1.133333 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.124622 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=AcdZaXYh2f0 | scene_001 | 1 | 155 | 515 | 00:00:06.465 | 00:00:21.480 | 6.464798 | 21.479813 | 15.015015 | 6.464798 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A dimly lit scene shows a young man with dark hair and a blue zip-up jacket over a yellow and brown plaid shirt entering a room, a second young man follows slightly behind. The first young man glances around the room, looking slightly apprehensive as he shrugs the strap of his backpack over his shoulder. The scene cuts... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two young men are walking through a dimly lit room, while an older man stands against a blackboard filled with numbers and calculations. All subjects are illuminated with a cool, blue-tinged lighting. |
scene_001_21_(2008)_-_Winner,_Winner,_Chicken_Dinner_Scene_(1_10)_|_Movieclips | 4.190384 | {'frame_00:00.png': 3.7923622131347656, 'frame_00:01.png': 4.303816318511963, 'frame_00:02.png': 4.093519687652588, 'frame_00:03.png': 3.502734661102295, 'frame_00:04.png': 3.6998605728149414, 'frame_00:05.png': 4.118808269500732, 'frame_00:06.png': 3.657504081726074, 'frame_00:07.png': 4.837288856506348, 'frame_00:08.... | 21_(2008)_-_Winner,_Winner,_Chicken_Dinner_Scene_(1_10)_|_Movieclips | 0.103118 | 0 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'},... | 0.227273 | 0.045455 | 0.090909 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'hu... | 0.084196 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 -1 -1 1 1 1 1 1 -1 1 1 1 1
1 1] | https://youtube.com/watch?v=ds0q8DVz94I | scene_001 | 1 | 55 | 582 | 00:00:02.294 | 00:00:24.274 | 2.293961 | 24.274274 | 21.980314 | 2.293961 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene opens with a blurry view of what seems to be a landscape with light reflecting off a body of water. The camera shifts downward, revealing colorful stacks that appear to be casino chips. The camera continues its descent, focusing on a chip labeled "$1000". The focus moves again to reveal stacks of these colorf... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Poker chips and playing cards are shown in a macro close-up as they are placed on a table, ending with a focus on an Ace and Jack, and then into an eye. The dramatic lighting and camera techniques build tension and focus. |
scene_001_27_Dresses_(1_5)_Movie_CLIP_-_Can't_Say_No_(2008)_HD | 4.97959 | {'frame_00:00.png': 4.571934700012207, 'frame_00:01.png': 4.923325538635254, 'frame_00:02.png': 5.082056999206543, 'frame_00:03.png': 4.777652263641357, 'frame_00:04.png': 4.883308410644531, 'frame_00:05.png': 5.1190290451049805, 'frame_00:06.png': 5.293361663818359, 'frame_00:07.png': 4.877479553222656, 'frame_00:08.p... | 27_Dresses_(1_5)_Movie_CLIP_-_Can't_Say_No_(2008)_HD | -0.034888 | 0.231732 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Backlight, Edge... | 4.266667 | 3.8 | 0 | {0: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 2: {'raw_counts': {'person': ... | 0.126921 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=r4K7eNzseCI | scene_001 | 1 | 102 | 462 | 00:00:04.254 | 00:00:19.269 | 4.254254 | 19.269269 | 15.015015 | 4.254254 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man and a woman sit at a bar, deep in conversation under the ambient blue lighting, they face one another with earnest expressions, their proximity suggesting intimacy, while other patrons blur into the background. The woman speaks with open hand gestures, her expression alternating between thoughtfulness and slight ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man and a woman are sitting at a bar counter, engaged in conversation in a dimly lit setting. The scene is illuminated with blue lighting, enhancing the intimate atmosphere.
|
scene_001_27_Dresses_(3_5)_Movie_CLIP_-_The_Truth_About_Tess_and_George_(2008)_HD | 4.952646 | {'frame_00:00.png': 5.091182708740234, 'frame_00:01.png': 5.120060443878174, 'frame_00:02.png': 4.7690348625183105, 'frame_00:03.png': 4.8713812828063965, 'frame_00:04.png': 4.788800239562988, 'frame_00:05.png': 4.780459403991699, 'frame_00:06.png': 4.836552619934082, 'frame_00:07.png': 5.002962112426758, 'frame_00:08.... | 27_Dresses_(3_5)_Movie_CLIP_-_The_Truth_About_Tess_and_George_(2008)_HD | 0.125547 | 2.836903 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, ... | 13.4 | 7.466667 | 0 | {0: {'raw_counts': {'cup': 3, 'person': 16, 'dining table': 2, 'chair': 6, 'tie': 1, 'total': 28}, 'bucketed_counts': {'humans': 16, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 12, 'total': 28}}, 1: {'raw_counts': {'person': 15, 'cup': 3, 'dining table': 2, 'chair': 7, 'wine glass': 1, 'vase': 1, 'total': 29}, 'b... | 0.126921 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=ts4gt7f_rek | scene_001 | 1 | 32 | 392 | 00:00:01.335 | 00:00:16.350 | 1.334668 | 16.349683 | 15.015015 | 1.334668 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a dimly lit banquet hall, a wide shot reveals numerous tables with formally dressed guests seated, bathed in a cool, blue light, suggesting an elegant atmosphere. At the center of the frame, a woman in a light-colored dress and a man in a blazer are engaged in conversation at their table, while other attendees a... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The frames capture a formal event in a restaurant, bathed in cool, blue tones, where people are seated at tables, talking and drinking while a woman gives a speech in front of a screen. The scene evokes a celebratory yet somewhat subdued atmosphere.
|
scene_001_27_Dresses_(4_5)_Movie_CLIP_-_I_Think_You_Deserve_More_(2008)_HD | 5.103467 | {'frame_00:00.png': 5.044548988342285, 'frame_00:01.png': 4.903624057769775, 'frame_00:02.png': 5.029097080230713, 'frame_00:03.png': 5.239101886749268, 'frame_00:04.png': 5.266839981079102, 'frame_00:05.png': 5.045536041259766, 'frame_00:06.png': 5.222020626068115, 'frame_00:07.png': 4.977168560028076, 'frame_00:08.pn... | 27_Dresses_(4_5)_Movie_CLIP_-_I_Think_You_Deserve_More_(2008)_HD | -0.238209 | 3.381162 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial lig... | 3.333333 | 2.6 | 0 | {0: {'raw_counts': {'person': 1, 'car': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'car': 2, 'person': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 2: {'raw_... | 0.135513 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=0-HM2VCdrC0 | scene_001 | 1 | 93 | 453 | 00:00:03.879 | 00:00:18.894 | 3.878879 | 18.893894 | 15.015015 | 3.878879 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman in a black dress, standing on a dimly lit city street at night, engages in an emotional conversation with a man. Streetlights cast a blue hue over the scene, highlighting the tense expressions on both their faces. Cars are parked along the curb, and a few pedestrians pass in the background. The woman gestures e... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman in a black dress appears distraught as she talks to a man in a jacket on a nighttime street. The conversation is punctuated with emotional expressions and gesturing from both parties. |
scene_001_27_Dresses_(5_5)_Movie_CLIP_-_Get_Over_Here_(2008)_HD | 4.640205 | {'frame_00:00.png': 4.208881378173828, 'frame_00:01.png': 4.404305934906006, 'frame_00:02.png': 4.101958274841309, 'frame_00:03.png': 4.374237537384033, 'frame_00:04.png': 4.282453536987305, 'frame_00:05.png': 4.514910697937012, 'frame_00:06.png': 5.17201566696167, 'frame_00:07.png': 5.055963039398193, 'frame_00:08.png... | 27_Dresses_(5_5)_Movie_CLIP_-_Get_Over_Here_(2008)_HD | 0.093069 | 0.346885 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}... | 9.266667 | 7.933333 | 0 | {0: {'raw_counts': {'person': 8, 'tie': 1, 'cell phone': 1, 'total': 10}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 10}}, 1: {'raw_counts': {'person': 9, 'tie': 2, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'to... | 0.050082 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=OI2JPJj1d6s | scene_001 | 1 | 89 | 449 | 00:00:03.712 | 00:00:18.727 | 3.712045 | 18.72706 | 15.015015 | 3.712045 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A crowd of wedding guests, mostly men dressed in tuxedos and women in evening gowns, gather under blue lighting, their faces barely discernible in the dim ambiance. The camera slowly pushes through the crowd, revealing the bride and groom on a decorated stage with a band. A woman at the microphone sings, with the bride... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene depicts a wedding reception with guests dressed in formal attire gathered around a stage, where a band performs for the bride and groom. The event is lit with a predominantly blue hue, which creates a surreal, dreamlike atmosphere. |
scene_001_2_Days_in_the_Valley_(3_8)_Movie_CLIP_-_It's_Crooked_(1996)_HD | 4.788647 | {'frame_00:00.png': 4.2712602615356445, 'frame_00:01.png': 4.865002155303955, 'frame_00:02.png': 4.5678582191467285, 'frame_00:03.png': 3.8375039100646973, 'frame_00:04.png': 4.725575923919678, 'frame_00:05.png': 4.5284929275512695, 'frame_00:06.png': 5.23392915725708, 'frame_00:07.png': 4.959336280822754, 'frame_00:08... | 2_Days_in_the_Valley_(3_8)_Movie_CLIP_-_It's_Crooked_(1996)_HD | -0.058766 | 1.29922 | {'frame_00:00.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny... | 1.2 | 0.933333 | 0.066667 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_counts': {... | 0.125558 | [ 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=KGKqdRDo-N8 | scene_001 | 1 | 34 | 394 | 00:00:01.418 | 00:00:16.433 | 1.418085 | 16.4331 | 15.015015 | 1.418085 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man with blue skin stands facing the camera, talking while making hand gestures, wearing a white open collared shirt and a vest. Another man with blue skin holds a small handgun with both hands pointed forward, in front of a shooting range and talking. A woman with blue skin stands outside with a notebook in her hand... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene presents people and a dog with blue skin, some in outdoor settings with plants and mountains in the background, and one person is holding a gun. There's a strange and surreal atmosphere as the people with blue skin express various emotions and engage in different activities.
|
scene_001_2_Days_in_the_Valley_(4_8)_Movie_CLIP_-_I_Don't_Need_a_Nose_Job?_(1996)_HD | 4.6315 | {'frame_00:00.png': 4.329385757446289, 'frame_00:01.png': 4.3977742195129395, 'frame_00:02.png': 4.3814473152160645, 'frame_00:03.png': 4.854409694671631, 'frame_00:04.png': 4.552516460418701, 'frame_00:05.png': 4.849538326263428, 'frame_00:06.png': 4.906546592712402, 'frame_00:07.png': 4.750075340270996, 'frame_00:08.... | 2_Days_in_the_Valley_(4_8)_Movie_CLIP_-_I_Don't_Need_a_Nose_Job?_(1996)_HD | -0.014744 | 5.859715 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.... | 2.4 | 1.866667 | 0 | {0: {'raw_counts': {'person': 1, 'oven': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'oven': 1, 'cell phone': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'tot... | 0.116966 | [ 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=OXcI5qu76jY | scene_001 | 1 | 63 | 423 | 00:00:02.628 | 00:00:17.643 | 2.627628 | 17.642643 | 15.015015 | 2.627628 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A blue-skinned man wearing a black and white shirt is in a brightly lit kitchen and is actively mixing something in a pot with a large spoon and looking into the pot with an angry expression. The man holds a black object in his other hand. Globes, kitchen appliances, and cooking utensils are in the background. There is... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | In a surreal and stylized scene, blue-skinned figures interact in a modern kitchen; one figure, with an angry expression, stirs a pot while holding a small tool, while another couple stands by, looking concerned. The environment is accentuated by a blue-toned painting and a modern sculpture. |
scene_001_2_Days_in_the_Valley_(5_8)_Movie_CLIP_-_We_Are_the_Police_(1996)_HD | 4.219258 | {'frame_00:00.png': 4.3242034912109375, 'frame_00:01.png': 4.092623233795166, 'frame_00:02.png': 4.292280673980713, 'frame_00:03.png': 4.199824810028076, 'frame_00:04.png': 4.732213497161865, 'frame_00:05.png': 4.079327583312988, 'frame_00:06.png': 4.334571838378906, 'frame_00:07.png': 3.1279091835021973, 'frame_00:08.... | 2_Days_in_the_Valley_(5_8)_Movie_CLIP_-_We_Are_the_Police_(1996)_HD | -0.012815 | 2.338367 | {'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION... | 1.866667 | 1.733333 | 0.066667 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.068308 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=mcWrZOrafnA | scene_001 | 1 | 78 | 438 | 00:00:03.253 | 00:00:18.268 | 3.253253 | 18.268268 | 15.015015 | 3.253253 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene shows a man with long hair and a beard driving a car, seemingly singing along to music. The camera captures him in profile, with the passing scenery visible through the car window. As he drives, his expression shifts, sometimes appearing thoughtful, sometimes animated. The scene is bathed in a blue hue, creat... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man with a beard drives a car, singing along to music in the car radio. The driver seems emotional as he belts out the song with a strong sense of feeling.
|
scene_001_2_Days_in_the_Valley_(7_8)_Movie_CLIP_-_Come_Out_From_Behind_That_Tree_(1996)_HD | 4.47693 | {'frame_00:00.png': 4.304690361022949, 'frame_00:01.png': 4.174562454223633, 'frame_00:02.png': 4.414085388183594, 'frame_00:03.png': 4.419127464294434, 'frame_00:04.png': 4.591436386108398, 'frame_00:05.png': 4.576074123382568, 'frame_00:06.png': 4.571747779846191, 'frame_00:07.png': 4.655454158782959, 'frame_00:08.pn... | 2_Days_in_the_Valley_(7_8)_Movie_CLIP_-_Come_Out_From_Behind_That_Tree_(1996)_HD | -0.331794 | 10.10757 | {'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>':... | 3.681818 | 0.318182 | 0.045455 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'car': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'car': 2, 'total': 2}, 'bu... | 0.142507 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=p_UeWtpIW08 | scene_001 | 1 | 627 | 1,154 | 00:00:26.151 | 00:00:48.131 | 26.151151 | 48.131465 | 21.980314 | 26.151151 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Along a sun dappled street with trees lining the sides a brown sedan pulls up along the curb. A tall blue skinned man emerges from the car dressed in a white t-shirt and black vest. With long hair down his back, he carries a child’s water gun, walks toward the sidewalk, and along the yard’s fence. | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A blue-skinned person emerges from a parked car on a tree-lined street. The individual, carrying a water gun, then walks along the sidewalk. |
scene_001_300_(2006)_-_Divine_Power_Scene_(4_5)_|_Movieclips | 5.069871 | {'frame_00:00.png': 4.824610710144043, 'frame_00:01.png': 4.8361287117004395, 'frame_00:02.png': 4.9067158699035645, 'frame_00:03.png': 4.823657512664795, 'frame_00:04.png': 4.843392848968506, 'frame_00:05.png': 5.036191940307617, 'frame_00:06.png': 4.996862411499023, 'frame_00:07.png': 4.977403163909912, 'frame_00:08.... | 300_(2006)_-_Divine_Power_Scene_(4_5)_|_Movieclips | 0.628378 | 10.695157 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_T... | 1.8 | 1.6 | 0.2 | {0: {'raw_counts': {'cow': 2, 'person': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 1: {'raw_counts': {'person': 2, 'cow': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_... | 0.044749 | [ 1 1 1 -1 1 1 1 -1 1 1 -1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=kmgRv2V_7P4 | scene_001 | 1 | 119 | 479 | 00:00:04.963 | 00:00:19.978 | 4.963297 | 19.978312 | 15.015015 | 4.963297 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A figure stands atop an ornate, multi-tiered platform carried by a multitude of individuals across a desolate landscape, the platform embellished with large, stylized animal figures. The sky above is a dramatic, overcast grey, adding a sense of foreboding to the scene. A man is captured in a close-up shot by the ocean ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | An elaborately adorned individual sits upon a towering throne carried through a barren landscape, while a bearded figure stands by the sea, speaking intently. The scene is shrouded in a somber tone with blue color grading.
|
scene_001_300_(2006)_-_Remember_Us_Scene_(5_5)_|_Movieclips | 5.018936 | {'frame_00:00.png': 4.975320339202881, 'frame_00:01.png': 5.138495922088623, 'frame_00:02.png': 5.204604625701904, 'frame_00:03.png': 4.995110034942627, 'frame_00:04.png': 5.156915664672852, 'frame_00:05.png': 5.292584419250488, 'frame_00:06.png': 5.168510437011719, 'frame_00:07.png': 5.404111862182617, 'frame_00:08.pn... | 300_(2006)_-_Remember_Us_Scene_(5_5)_|_Movieclips | -0.460894 | 2.760409 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_T... | 2.8 | 2.333333 | 0 | {0: {'raw_counts': {'person': 2, 'backpack': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 1: {'raw_counts': {'person': 2, 'backpack': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}},... | 0.011395 | [ 1 1 1 1 -1 1 1 1 1 1 -1 1 1 -1 1 1 1 1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=nHByIEUb37Y | scene_001 | 1 | 193 | 553 | 00:00:08.050 | 00:00:23.065 | 8.049716 | 23.064731 | 15.015015 | 8.049716 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A wounded warrior, clad in minimal battle gear and a makeshift bandage over one eye, stands defiantly amidst a vast field of wheat, gripping a spear and shield; the field stretches to the horizon under a sky swirling with dramatic, dark clouds and a sliver of moon; in the distance, another figure emerges from the wheat... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A Spartan warrior walks across a field of grass holding a spear and shield, later appearing before a group of people with a bandage over his eye. The scene is presented in cool, muted tones, creating a serious and somber atmosphere.
|
scene_001_300_(2006)_-_This_Is_Sparta!_Scene_(1_5)_|_Movieclips | 5.029327 | {'frame_00:00.png': 5.023749351501465, 'frame_00:01.png': 5.560120105743408, 'frame_00:02.png': 4.651663303375244, 'frame_00:03.png': 4.859989166259766, 'frame_00:04.png': 5.543900489807129, 'frame_00:05.png': 5.008575916290283, 'frame_00:06.png': 4.607630729675293, 'frame_00:07.png': 4.9488844871521, 'frame_00:08.png'... | 300_(2006)_-_This_Is_Sparta!_Scene_(1_5)_|_Movieclips | 0.843196 | 5.897147 | {'frame_00:00.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {... | 4.533333 | 4.466667 | 0.066667 | {0: {'raw_counts': {'dog': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {... | 0.039806 | [ 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=4Prc1UfuokY | scene_001 | 1 | 73 | 433 | 00:00:03.045 | 00:00:18.060 | 3.044711 | 18.059726 | 15.015015 | 3.044711 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a stylized cinematic presentation, a character with dark skin and piercings stands in a field, gazing downward, his expression serious and contemplative, while a group of warriors stands behind him. Another character with a beard and muscular build stands in a crowded area with a stern expression, engaging in a disc... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man adorned with facial piercings and jewelry stands somberly with a soft focus background, while another frame features a bearded man in ancient attire conversing with others against a backdrop of stone columns and similarly dressed individuals. The scene is presented in a stark, stylized color palette that amplifie... |
scene_001_300_(2006)_-_This_Is_Where_We_Fight_Scene_(2_5)_|_Movieclips | 5.08267 | {'frame_00:00.png': 4.7732834815979, 'frame_00:01.png': 5.057202339172363, 'frame_00:02.png': 4.942438125610352, 'frame_00:03.png': 4.700321674346924, 'frame_00:04.png': 5.222952842712402, 'frame_00:05.png': 5.099803924560547, 'frame_00:06.png': 5.187953948974609, 'frame_00:07.png': 5.223154067993164, 'frame_00:08.png'... | 300_(2006)_-_This_Is_Where_We_Fight_Scene_(2_5)_|_Movieclips | -0.596451 | 2.255797 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': ... | 1.866667 | 1.533333 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'skateboard': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_cou... | 0.048942 | [ 1 1 1 -1 -1 1 1 -1 -1 1 1 1 1 1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=cDpI6Zzy-vo | scene_001 | 1 | 202 | 562 | 00:00:08.425 | 00:00:23.440 | 8.425092 | 23.440107 | 15.015015 | 8.425092 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | From a low angle, a soldier wearing a full helm looks to the left, then whips his head forward to reveal a battle-scarred face contorted with rage. Raising his spear and shield, the soldier joins the phalanx and marches forward as the camera pans out to reveal hundreds of men in battle formation, all clad in bronze arm... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Soldiers in helmets stand on a misty battlefield, with one warrior turning towards the camera, screaming intensely. The camera pushes forward, creating a sense of impending conflict and raw emotion. |
scene_001_300__Rise_of_an_Empire_(2014)_-_Spartan_Rescue_Scene_(10_10)_|_Movieclips | 5.203545 | {'frame_00:00.png': 5.3400726318359375, 'frame_00:01.png': 5.350335121154785, 'frame_00:02.png': 4.940394401550293, 'frame_00:03.png': 4.993017673492432, 'frame_00:04.png': 5.2794342041015625, 'frame_00:05.png': 5.309569835662842, 'frame_00:06.png': 4.886097431182861, 'frame_00:07.png': 5.098121643066406, 'frame_00:08.... | 300__Rise_of_an_Empire_(2014)_-_Spartan_Rescue_Scene_(10_10)_|_Movieclips | 0.231657 | 3.290663 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge ... | 4 | 3.2 | 0.133333 | {0: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 2: {'raw_counts': {'person': ... | 0.050082 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=-jtzzs0_bM4 | scene_001 | 1 | 51 | 411 | 00:00:02.127 | 00:00:17.142 | 2.127127 | 17.142142 | 15.015015 | 2.127127 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A tense standoff unfolds as a woman with dark hair holds a sword to the neck of a muscular man with a beard, both displaying stern expressions, with a backdrop of a vast naval battle on a stormy sea; the camera then tightens on the woman's face, showing her intense stare and stylized makeup, before widening to reveal a... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | An intense battle scene unfolds as a warrior is confronted at sword-point, set against the backdrop of a vast armada on turbulent waters. Soldiers stand ready on a ship amidst ominous skies, illuminated by dramatic lighting. |
scene_001_300__Rise_of_an_Empire_(2014)_-_Surrender_to_Me_Scene_(9_10)_|_Movieclips | 5.281328 | {'frame_00:00.png': 5.799168586730957, 'frame_00:01.png': 5.689973831176758, 'frame_00:02.png': 5.769896507263184, 'frame_00:03.png': 5.446506977081299, 'frame_00:04.png': 5.472929000854492, 'frame_00:05.png': 5.590389251708984, 'frame_00:06.png': 5.541766166687012, 'frame_00:07.png': 5.251979827880859, 'frame_00:08.pn... | 300__Rise_of_an_Empire_(2014)_-_Surrender_to_Me_Scene_(9_10)_|_Movieclips | -0.001249 | 0.393101 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, ... | 2.133333 | 1.666667 | 0.133333 | {0: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {... | 0.057691 | [ 1 1 1 1 1 1 1 1 1 1 -1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=VOk7mIZRPzI | scene_001 | 1 | 1,260 | 1,620 | 00:00:52.553 | 00:01:07.568 | 52.552553 | 67.567568 | 15.015015 | 52.552553 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with long, dark hair and striking eyes is presented with dramatic lighting. She's dressed in dark, ornate armor and appears determined. A man with a beard and a yellow drape, stands amidst carnage on a ship, his face marked with cuts and bruises, conveying a mix of shock and resolve. The scene shifts back to th... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A pale-skinned woman with dark hair faces the camera and interacts with a blue-skinned man, and the pair engage in intense combat on a ship littered with bodies. The scene is dark and atmospheric.
|
scene_001_300__Rise_of_an_Empire_(2014)_-_The_Ecstasy_Scene_(6_10)_|_Movieclips | 5.576975 | {'frame_00:00.png': 5.706258773803711, 'frame_00:01.png': 5.556191444396973, 'frame_00:02.png': 5.5719451904296875, 'frame_00:03.png': 5.647284507751465, 'frame_00:04.png': 5.6222333908081055, 'frame_00:05.png': 5.616585731506348, 'frame_00:06.png': 5.555974960327148, 'frame_00:07.png': 5.551138877868652, 'frame_00:08.... | 300__Rise_of_an_Empire_(2014)_-_The_Ecstasy_Scene_(6_10)_|_Movieclips | 0.420104 | 0.296156 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>... | 2.066667 | 2.066667 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.122942 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=XDnXI6KXoeg | scene_001 | 1 | 469 | 829 | 00:00:19.561 | 00:00:34.576 | 19.561228 | 34.576243 | 15.015015 | 19.561228 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A cinematic scene unfolds in a dimly lit interior, focusing on two figures with blue skin tones. The man, bearing a trimmed beard and short hair, gazes intently at the woman with long, dark hair and striking eye makeup. He is attired in a yellow tunic-like garment. The woman's expression is thoughtful, with a subtle sm... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A blue-skinned man and woman stand in a dimly lit room, gazing intently at each other. The woman looks amused as she smiles at the man, creating an intimate and intriguing moment. |
scene_001_30_Minutes_or_Less_(2011)_-_Hitman_Attack_Scene_(7_9)_|_Movieclips | 5.078299 | {'frame_00:00.png': 5.005684852600098, 'frame_00:01.png': 4.811298370361328, 'frame_00:02.png': 5.011659622192383, 'frame_00:03.png': 5.232278823852539, 'frame_00:04.png': 5.216760635375977, 'frame_00:05.png': 5.108486175537109, 'frame_00:06.png': 5.1859130859375, 'frame_00:07.png': 4.965975761413574, 'frame_00:08.png'... | 30_Minutes_or_Less_(2011)_-_Hitman_Attack_Scene_(7_9)_|_Movieclips | 0.095225 | 0.652437 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}],... | 2 | 1.133333 | 0 | {0: {'raw_counts': {'person': 1, 'remote': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 2: {... | 0.117953 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=XC_66AiT5xQ | scene_001 | 1 | 125 | 485 | 00:00:05.214 | 00:00:20.229 | 5.213547 | 20.228562 | 15.015015 | 5.213547 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A tense scene unfolds in a dimly lit room, where two figures stand amidst the drama. The scene is heavily tinted in blue. One figure, with a shaved head, is seen from the back, their posture suggesting anticipation or confrontation. In front, the other figure, an older man with a Marines sweatshirt, holds a glass. A wi... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two men engage in a tense standoff inside a dimly lit room, contrasted with another man pointing a gun outside a house, creating a suspenseful atmosphere. The low-key lighting enhances the dramatic tension of the scene.
|
scene_001_30_Minutes_or_Less_(2011)_-_I'm_Wearing_a_Bomb_Scene_(2_9)_|_Movieclips | 4.949689 | {'frame_00:00.png': 4.88436222076416, 'frame_00:01.png': 4.928991794586182, 'frame_00:02.png': 4.866038799285889, 'frame_00:03.png': 4.636951923370361, 'frame_00:04.png': 5.214034080505371, 'frame_00:05.png': 5.019200801849365, 'frame_00:06.png': 4.989874839782715, 'frame_00:07.png': 5.26500129699707, 'frame_00:08.png'... | 30_Minutes_or_Less_(2011)_-_I'm_Wearing_a_Bomb_Scene_(2_9)_|_Movieclips | -0.051424 | 0.290879 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png... | 1.6 | 1.4 | 0.133333 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.119026 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=gQoU4eEkmus | scene_001 | 1 | 34 | 394 | 00:00:01.418 | 00:00:16.433 | 1.418085 | 16.4331 | 15.015015 | 1.418085 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man with blue skin and wearing a plaid shirt stands in a hallway. He looks directly at someone off-screen while gesturing dramatically with his hands, seemingly giving an impassioned speech. The camera cuts to a teenager with blue skin who is wearing a green jacket standing at the end of the hallway. He looks back at... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A blue-skinned individual in a plaid shirt gesticulates wildly in a hallway setting, facing another blue-skinned person in a military jacket. The pair have a tense encounter in front of school lockers, highlighted by dramatic lighting. |
scene_001_30_Minutes_or_Less_(2011)_-_Major_Tan_Scene_(9_9)_|_Movieclips | 4.606921 | {'frame_00:00.png': 3.7495346069335938, 'frame_00:01.png': 3.6155638694763184, 'frame_00:02.png': 3.8843278884887695, 'frame_00:03.png': 3.9698777198791504, 'frame_00:04.png': 4.910771369934082, 'frame_00:05.png': 4.742733955383301, 'frame_00:06.png': 4.901381969451904, 'frame_00:07.png': 4.798107624053955, 'frame_00:0... | 30_Minutes_or_Less_(2011)_-_Major_Tan_Scene_(9_9)_|_Movieclips | -0.616457 | 2.893393 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Green, Magenta, Pink, White'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Red, Cyan, Magenta, Pink'}, {'<LIGHTING>': 'Hard light, High contra... | 1.4 | 0.933333 | 0 | {0: {'raw_counts': {'kite': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'total': 0}, 'bucketed_co... | 0.108883 | [ 1 1 1 1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=ky98ri9AcsU | scene_001 | 1 | 73 | 433 | 00:00:03.045 | 00:00:18.060 | 3.044711 | 18.059726 | 15.015015 | 3.044711 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The video opens with a tanning bed, overlaid with "Grand Opening!!" graphics. As the camera pivots around a man with a blue hue stands in front of a camouflaged backdrop. Text appears on screen, emphasizing the man's alleged expertise as a "specially trained engineer" with "new technology" and "power." He gesticulates ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A tanning bed is shown, followed by a blue-hued man giving a sales pitch, and a woman inside a tanning bed is observed. The scene shows promotional text and visual embellishments to enhance the sales pitch of the product.
|
scene_001_30_Minutes_or_Less_(2011)_-_Rooftop_Confession_Scene_(4_9)_|_Movieclips | 4.684934 | {'frame_00:00.png': 4.659789562225342, 'frame_00:01.png': 4.577726364135742, 'frame_00:02.png': 5.0841875076293945, 'frame_00:03.png': 4.89092493057251, 'frame_00:04.png': 4.873281478881836, 'frame_00:05.png': 3.899390697479248, 'frame_00:06.png': 4.500384330749512, 'frame_00:07.png': 5.119404315948486, 'frame_00:08.pn... | 30_Minutes_or_Less_(2011)_-_Rooftop_Confession_Scene_(4_9)_|_Movieclips | -0.160615 | 1.659883 | {'frame_00:00.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'fram... | 1.466667 | 1 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.132451 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 -1
1 1] | https://youtube.com/watch?v=9JkoWs_LIcY | scene_001 | 1 | 38 | 398 | 00:00:01.585 | 00:00:16.600 | 1.584918 | 16.599933 | 15.015015 | 1.584918 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man in a green jacket runs up the steps of a building with purple trim, talking on a cell phone. He enters the building, then goes up an interior staircase. Meanwhile, a woman in a white shirt and cardigan stands indoors, also on a cell phone. She has blue skin. She appears concerned, and pauses in the conversation. ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person hastily climbs stairs to enter a building, while another is on the phone inside and later steps onto the rooftop. The scene features artificial, blue-toned lighting and is infused with a sense of suspense.
|
scene_001_30_Minutes_or_Less_(2011)_-_The_Bank_Robbery_Scene_(5_9)_|_Movieclips | 4.740957 | {'frame_00:00.png': 4.481705665588379, 'frame_00:01.png': 5.072289943695068, 'frame_00:02.png': 4.646204948425293, 'frame_00:03.png': 4.8977813720703125, 'frame_00:04.png': 4.6905388832092285, 'frame_00:05.png': 4.463613986968994, 'frame_00:06.png': 5.093671798706055, 'frame_00:07.png': 5.106703281402588, 'frame_00:08.... | 30_Minutes_or_Less_(2011)_-_The_Bank_Robbery_Scene_(5_9)_|_Movieclips | 0.118391 | 0.93859 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, ... | 3.866667 | 2.8 | 0.133333 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.106382 | [-1 1 1 1 1 1 1 -1 -1 1 -1 1 1 -1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=v_y3mxio87k | scene_001 | 1 | 65 | 425 | 00:00:02.711 | 00:00:17.726 | 2.711044 | 17.726059 | 15.015015 | 2.711044 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a bank, two masked individuals, heavily armed, take control of the scene. They point their guns, creating an intense atmosphere of fear and desperation. A woman clutches a child tightly, their faces showing pure terror as they huddle together for safety. Employees and customers alike raise their hands, surrender... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A bank robbery unfolds as masked individuals brandish firearms, and the staff and customers are visibly alarmed, frozen in states of fear and compliance. The tension-filled scene reveals the intensity of the high-stakes situation and the vulnerability of those caught in the act.
|
scene_001_30_Minutes_or_Less_(2011)_-_The_Bomb_Explodes_Scene_(8_9)_|_Movieclips | 4.964181 | {'frame_00:00.png': 4.938504695892334, 'frame_00:01.png': 5.109563827514648, 'frame_00:02.png': 5.048700332641602, 'frame_00:03.png': 4.875690937042236, 'frame_00:04.png': 5.156253814697266, 'frame_00:05.png': 4.8217878341674805, 'frame_00:06.png': 5.103490352630615, 'frame_00:07.png': 5.047056198120117, 'frame_00:08.p... | 30_Minutes_or_Less_(2011)_-_The_Bomb_Explodes_Scene_(8_9)_|_Movieclips | 0.060102 | 0.896065 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight,... | 2.466667 | 2.466667 | 0 | {0: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {'person': ... | 0.05914 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=KqEyt8szupg | scene_001 | 1 | 46 | 406 | 00:00:01.919 | 00:00:16.934 | 1.918585 | 16.9336 | 15.015015 | 1.918585 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside the confines of a car's dimly lit interior, three figures occupy the seats, their faces illuminated with a striking blue hue. The individual in the driver's seat is mid-sentence, their eyes fixed on the passenger beside them. This passenger, positioned in the middle, gazes intently at the driver, a look of conce... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Three people are in a car driving at night with dramatic lighting while the driver and passenger begin to kiss, leaving the other passenger feeling left out. Rain begins to fall on the windshield as the tension rises between the three people in the car. |
scene_001_47_Ronin_(2013)_-_Rescuing_The_Ronin_Scene_(5_10)_|_Movieclips | 5.432188 | {'frame_00:00.png': 4.976264476776123, 'frame_00:01.png': 5.326599597930908, 'frame_00:02.png': 5.275980472564697, 'frame_00:03.png': 5.195796012878418, 'frame_00:04.png': 5.199158668518066, 'frame_00:05.png': 5.049822807312012, 'frame_00:06.png': 5.9608941078186035, 'frame_00:07.png': 6.141716957092285, 'frame_00:08.p... | 47_Ronin_(2013)_-_Rescuing_The_Ronin_Scene_(5_10)_|_Movieclips | 0.148331 | 2.186853 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Ove... | 2.733333 | 2.666667 | 0 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'hu... | 0.069113 | [ 1 1 1 -1 1 1 1 -1 -1 1 -1 1 1 -1 1 1 1 1 1 1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=LoBAmFanDhY | scene_001 | 1 | 124 | 484 | 00:00:05.172 | 00:00:20.187 | 5.171839 | 20.186854 | 15.015015 | 5.171839 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A group of men in traditional Japanese attire walk through a desolate village cloaked in a heavy mist. Dilapidated wooden buildings line the path, marked by weathered signs and crumbling stone foundations. The somber atmosphere is thick with tension as the men move forward with a determined gait. The lighting casts lon... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of figures walks through a dusty, desolate village. The somber scene features traditional Japanese architecture and heavy atmosphere. |
scene_001_54_(10_12)_Movie_CLIP_-_Two_Lives_(1998)_HD | 4.821242 | {'frame_00:00.png': 4.856470108032227, 'frame_00:01.png': 5.076266288757324, 'frame_00:02.png': 5.013553142547607, 'frame_00:03.png': 5.033629417419434, 'frame_00:04.png': 4.604142189025879, 'frame_00:05.png': 5.155325889587402, 'frame_00:06.png': 4.797068119049072, 'frame_00:07.png': 4.764374256134033, 'frame_00:08.pn... | 54_(10_12)_Movie_CLIP_-_Two_Lives_(1998)_HD | 0.578931 | 3.264879 | {'frame_00:00.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny, Artificial light, Practical light, Mixed light... | 1.533333 | 1.066667 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_counts': {... | 0.126921 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=vzt7Yb_-yiY | scene_001 | 1 | 245 | 605 | 00:00:10.219 | 00:00:25.234 | 10.218552 | 25.233567 | 15.015015 | 10.218552 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with dark hair and dark sunglasses lowers the sunglasses down her nose while holding a cigarette. She is smiling. Behind her are white stockings with blue designs. She is wearing a black shirt and a patterned jacket. A young man with curly hair, wearing a fur-collared jacket, smiles and laughs. He is wearing a ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The individuals are bathed in blue lighting within an indoor setting; a woman adjusts her sunglasses while holding a cigarette, and a curly-haired person smiles gently. Both subjects appear to be in conversation, creating a somewhat surreal and muted ambiance. |
scene_001_54_(12_12)_Movie_CLIP_-_Steve's_Welcome_Back_Party_(1998)_HD | 4.349537 | {'frame_00:00.png': 4.106139659881592, 'frame_00:01.png': 3.9128379821777344, 'frame_00:02.png': 4.084749221801758, 'frame_00:03.png': 4.292585849761963, 'frame_00:04.png': 4.432038307189941, 'frame_00:05.png': 4.345751762390137, 'frame_00:06.png': 4.344841003417969, 'frame_00:07.png': 4.550111770629883, 'frame_00:08.p... | 54_(12_12)_Movie_CLIP_-_Steve's_Welcome_Back_Party_(1998)_HD | 0.134051 | 0.206873 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>':... | 3.6 | 3.066667 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'tie': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 2: {'raw_counts': {'person': 1, ... | 0.035591 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 -1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=XTfUTOcdkqY | scene_001 | 1 | 98 | 458 | 00:00:04.087 | 00:00:19.102 | 4.087421 | 19.102436 | 15.015015 | 4.087421 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a crowded nightclub with colorful, shifting lights, a couple embraces closely while other people mingle nearby. A man in a light-colored suit with a blue tie scans the room, surrounded by dancers in vibrant attire. As the camera pans, a musician is silhouetted on stage, performing under a bright disco ball, before t... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The video captures a crowded dance floor with people dancing under colored lights, creating a vibrant and energetic atmosphere. A DJ is seen in the background, controlling the music for the lively party. |
scene_001_54_(1_12)_Movie_CLIP_-_Getting_In_(1998)_HD | 4.504117 | {'frame_00:00.png': 4.730049133300781, 'frame_00:01.png': 4.428744316101074, 'frame_00:02.png': 4.652435302734375, 'frame_00:03.png': 4.480319976806641, 'frame_00:04.png': 4.517022609710693, 'frame_00:05.png': 4.740972995758057, 'frame_00:06.png': 4.295852184295654, 'frame_00:07.png': 4.137213706970215, 'frame_00:08.pn... | 54_(1_12)_Movie_CLIP_-_Getting_In_(1998)_HD | 0.175223 | 0.173939 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSIT... | 9.466667 | 9 | 0.2 | {0: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 1: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 2: {'raw_counts': {'person': ... | 0.01698 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=GhSSEuAEcm0 | scene_001 | 1 | 68 | 428 | 00:00:02.836 | 00:00:17.851 | 2.83617 | 17.851185 | 15.015015 | 2.83617 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A large crowd of people is gathered, their faces and bodies illuminated with a distinct blue tone, suggesting a stylistic or otherworldly effect. Among them, various expressions are visible, from curiosity and mild amusement to blank stares. The depth of the crowd is emphasized by the layering of faces and bodies, crea... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A large crowd stands together, many with their hands raised, as a man in a gold jacket speaks from a slightly elevated position. The scene features a blue tint, adding an eerie or surreal atmosphere. |
scene_001_54_(3_12)_Movie_CLIP_-_New_Bus_Boy_(1998)_HD | 4.668393 | {'frame_00:00.png': 4.7068657875061035, 'frame_00:01.png': 4.794623374938965, 'frame_00:02.png': 4.6584553718566895, 'frame_00:03.png': 4.88710880279541, 'frame_00:04.png': 4.583371162414551, 'frame_00:05.png': 4.580888271331787, 'frame_00:06.png': 4.5445942878723145, 'frame_00:07.png': 4.4189019203186035, 'frame_00:08... | 54_(3_12)_Movie_CLIP_-_New_Bus_Boy_(1998)_HD | 0.200733 | 0.084551 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {... | 5.866667 | 4.066667 | 0 | {0: {'raw_counts': {'person': 2, 'handbag': 1, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 1: {'raw_counts': {'person': 2, 'handbag': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 't... | 0.047072 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=9I0E9w8Nqfg | scene_001 | 1 | 120 | 480 | 00:00:05.005 | 00:00:20.020 | 5.005005 | 20.02002 | 15.015015 | 5.005005 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a stark room, the scene presents a group of young men in matching yellow and orange outfits, their skin tones rendered in a bluish-gray hue, creating a surreal, monochromatic effect; a man in a classic black tuxedo stands out amidst them, his presence adding a formal contrast to the casual attire of the others, ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene depicts a locker room where a man in a tuxedo introduces a young man to a group, with a muted color scheme throughout. The atmosphere is somewhat subdued and institutional. |
scene_001_54_(5_12)_Movie_CLIP_-_Names_For_the_List_(1998)_HD | 4.331684 | {'frame_00:00.png': 4.310348033905029, 'frame_00:01.png': 4.09673547744751, 'frame_00:02.png': 4.384912014007568, 'frame_00:03.png': 4.432661533355713, 'frame_00:04.png': 4.160978317260742, 'frame_00:05.png': 4.326422691345215, 'frame_00:06.png': 4.187378406524658, 'frame_00:07.png': 4.238348484039307, 'frame_00:08.png... | 54_(5_12)_Movie_CLIP_-_Names_For_the_List_(1998)_HD | 0.212391 | 0.622997 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Cente... | 3.133333 | 3 | 0.066667 | {0: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 1: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 2: {'raw_counts': {'person': ... | 0.029508 | [-1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=Qxn6aafaNP8 | scene_001 | 1 | 45 | 405 | 00:00:01.877 | 00:00:16.892 | 1.876877 | 16.891892 | 15.015015 | 1.876877 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds in a dimly lit office, where a group of people stand and sit around a table, engaged in conversation. A man in a jacket stands near the table, gesturing with his hands as he speaks to the people seated before him. Another man in a polo shirt stands beside him, also participating in the discussion. The... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | In a dimly lit room, three people stand around a table with an agitated man in a polo shirt gesturing emphatically, while another man in a blazer approaches a young man standing in a doorway, and begins speaking to him in an intense exchange. The scene is washed in a blue tint creating an eerie and mysterious mood. |
scene_001_54_(6_12)_Movie_CLIP_-_Socialites_(1998)_HD | 4.826617 | {'frame_00:00.png': 5.125149726867676, 'frame_00:01.png': 4.735709190368652, 'frame_00:02.png': 4.803213596343994, 'frame_00:03.png': 4.683748722076416, 'frame_00:04.png': 4.560694217681885, 'frame_00:05.png': 4.562626361846924, 'frame_00:06.png': 4.549973487854004, 'frame_00:07.png': 4.844857692718506, 'frame_00:08.pn... | 54_(6_12)_Movie_CLIP_-_Socialites_(1998)_HD | -0.477079 | 6.876692 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}],... | 6.466667 | 3 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 3, 'car': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 2: {'raw_counts': {... | 0.135513 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=Y0FAYOIt-VQ | scene_001 | 1 | 81 | 441 | 00:00:03.378 | 00:00:18.393 | 3.378378 | 18.393393 | 15.015015 | 3.378378 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A gathering of bluish-tinted individuals is depicted in a series of still images. The initial shot captures a woman with wavy blond hair and a leopard print top, holding a martini glass and smiling as she engages in conversation. She stands in front of a staircase with dark blue carpet. The composition then widens to s... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene shows several individuals, all with a bluish hue, engaged in conversations during what appears to be a sophisticated dinner party, captured with a cool and slightly eerie atmospheric effect. The sequence transitions to a long dinner table, where similarly tinted guests are seated. |
scene_001_54_(7_12)_Movie_CLIP_-_Disco_Lessons_(1998)_HD | 4.643086 | {'frame_00:00.png': 4.212120056152344, 'frame_00:01.png': 4.416016101837158, 'frame_00:02.png': 4.621031761169434, 'frame_00:03.png': 4.34199857711792, 'frame_00:04.png': 4.532320976257324, 'frame_00:05.png': 4.792431831359863, 'frame_00:06.png': 4.720495223999023, 'frame_00:07.png': 4.462140083312988, 'frame_00:08.png... | 54_(7_12)_Movie_CLIP_-_Disco_Lessons_(1998)_HD | 0.13215 | 2.511495 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<C... | 6.666667 | 5.6 | 0.066667 | {0: {'raw_counts': {'person': 14, 'backpack': 1, 'total': 15}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 15}}, 1: {'raw_counts': {'person': 11, 'backpack': 1, 'total': 12}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total... | 0.135513 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=uC1Lmk5qK2Q | scene_001 | 1 | 304 | 664 | 00:00:12.679 | 00:00:27.694 | 12.679346 | 27.694361 | 15.015015 | 12.679346 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A group of people are standing in a dance studio, practicing a dance routine. The dancers are standing in rows, and they are all wearing different clothes. A woman sits off to the side, observing the dancers. She is sitting in a chair and she is looking at the dancers. The lighting in the studio is bright, and there ar... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of people with blue skin are dancing in a room, moving to music, while someone watches and comments on their performance. They are practicing a dance routine in a studio with large windows and mirrors. |
scene_001_54_(8_12)_Movie_CLIP_-_Jealousy_(1998)_HD | 4.404032 | {'frame_00:00.png': 4.4055705070495605, 'frame_00:01.png': 4.592391014099121, 'frame_00:02.png': 4.173775672912598, 'frame_00:03.png': 4.3625898361206055, 'frame_00:04.png': 4.507044792175293, 'frame_00:05.png': 4.411734580993652, 'frame_00:06.png': 4.266768455505371, 'frame_00:07.png': 4.210423469543457, 'frame_00:08.... | 54_(8_12)_Movie_CLIP_-_Jealousy_(1998)_HD | 0.027379 | 1.224871 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {... | 1.266667 | 1.066667 | 0.133333 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.083437 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1 1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=qPfLNjGXa2M | scene_001 | 1 | 218 | 578 | 00:00:09.092 | 00:00:24.107 | 9.092426 | 24.107441 | 15.015015 | 9.092426 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A young man with curly hair and fair skin, wearing a knitted cardigan, sits indoors with a candle and indoor plants visible in the background. His expression shifts from contemplation to a slight smile. Subsequently, a woman with long dark hair and fair skin is shown indoors; she wears a checkered shirt. Her expression... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene is lit with blue light, which highlights a young man wearing a cardigan. The image then shifts to a woman, also bathed in the blue light. |
scene_001_54_(9_12)_Movie_CLIP_-_The_Clap_(1998)_HD | 4.471449 | {'frame_00:00.png': 4.7632951736450195, 'frame_00:01.png': 4.665968418121338, 'frame_00:02.png': 4.927702903747559, 'frame_00:03.png': 4.885677814483643, 'frame_00:04.png': 5.122392177581787, 'frame_00:05.png': 4.689210891723633, 'frame_00:06.png': 3.949587345123291, 'frame_00:07.png': 3.976780414581299, 'frame_00:08.p... | 54_(9_12)_Movie_CLIP_-_The_Clap_(1998)_HD | 0.102862 | 1.541209 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artifici... | 2.133333 | 2.066667 | 0 | {0: {'raw_counts': {'person': 2, 'fire hydrant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_c... | 0.067647 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=qKerIOG7jdI | scene_001 | 1 | 152 | 512 | 00:00:06.340 | 00:00:21.355 | 6.339673 | 21.354688 | 15.015015 | 6.339673 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene opens with a close-up of a fair-skinned man with wavy blonde hair as he appears to be in conversation with someone. The camera focuses closely on his face, capturing his expression as he looks to his right, with dim lighting casting shadows and creating a sense of drama. The perspective shifts, now showing a ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A fair-skinned person and a blue-skinned person communicate face-to-face in a crowded nightclub with dramatic lighting; the camera then cuts to a wide shot of a separate group of people socializing. The nightclub's atmosphere is intimate and dark.
|
scene_001_65_(2023)_-_The_T-Rex_Attack_Scene_|_Movieclips | 4.314704 | {'frame_00:00.png': 4.073268890380859, 'frame_00:01.png': 4.409059047698975, 'frame_00:02.png': 4.4193854331970215, 'frame_00:03.png': 4.393035888671875, 'frame_00:04.png': 4.640556812286377, 'frame_00:05.png': 3.735224723815918, 'frame_00:06.png': 4.2244343757629395, 'frame_00:07.png': 4.361462593078613, 'frame_00:08.... | 65_(2023)_-_The_T-Rex_Attack_Scene_|_Movieclips | 0.005696 | 0.198684 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'High contrast, Underlight'}, {'... | 0.266667 | 0.2 | 0 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'chair': 1, 'person': 1, 'total': 2}... | -0.096997 | [-1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=zisjsD7xQ94 | scene_001 | 1 | 54 | 414 | 00:00:02.252 | 00:00:17.267 | 2.252252 | 17.267267 | 15.015015 | 2.252252 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A dimly lit contraption with metallic arms comes into focus, illuminated by an eerie blue light. The camera pans up to reveal a person strapped upside down in a chair, their face contorted in what could be either pain or pleasure. The environment shifts, blending the mechanical with the organic, as foliage and gnarled ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person strapped into a high-tech machine is surrounded by dark industrial structures and ominous lighting. The scene then shifts to a blurry, disorienting montage of machinery and human forms, creating a tense and unsettling atmosphere. |
scene_001_80_for_Brady_(2023)_-_Bodice-Ripper_Writer_Scene_|_Movieclips | 5.330569 | {'frame_00:00.png': 4.532595157623291, 'frame_00:01.png': 5.203176498413086, 'frame_00:02.png': 5.654372215270996, 'frame_00:03.png': 5.365095615386963, 'frame_00:04.png': 5.606180191040039, 'frame_00:05.png': 5.486029624938965, 'frame_00:06.png': 5.575140953063965, 'frame_00:07.png': 5.522427558898926, 'frame_00:08.pn... | 80_for_Brady_(2023)_-_Bodice-Ripper_Writer_Scene_|_Movieclips | 0.074416 | 0.315562 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial li... | 5.8 | 5.4 | 0 | {0: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 1: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {'person': ... | 0.140634 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=nGkh-vVbL8I | scene_001 | 1 | 526 | 886 | 00:00:21.939 | 00:00:36.954 | 21.938605 | 36.95362 | 15.015015 | 21.938605 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds in a locker room with an individual wearing a tan jacket, seen clapping and smiling amidst a crowd of blue-skinned people. The camera angle shifts to reveal more blue-skinned people, as the individual in the jacket speaks and gestures with their hands. The setting transitions to an autograph signing a... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A blue-skinned man in a tan jacket claps in a locker room, then stands in front of an autograph signing booth with another blue-skinned woman in a blue jacket with stars. The woman shakes hands with a young fan while in a red and blue environment.
|
scene_001_80_for_Brady_(2023)_-_Charity_Poker_Game_Scene_|_Movieclips | 4.725669 | {'frame_00:00.png': 4.7057037353515625, 'frame_00:01.png': 4.92912483215332, 'frame_00:02.png': 4.628730297088623, 'frame_00:03.png': 4.648151397705078, 'frame_00:04.png': 4.632009983062744, 'frame_00:05.png': 4.828958511352539, 'frame_00:06.png': 4.499504089355469, 'frame_00:07.png': 4.436256408691406, 'frame_00:08.pn... | 80_for_Brady_(2023)_-_Charity_Poker_Game_Scene_|_Movieclips | 0.035354 | 0.105763 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>... | 3.4 | 3.2 | 0 | {0: {'raw_counts': {'person': 7, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 1: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 2: {'raw_counts': {... | 0.093297 | [ 1 1 1 1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=iazuONx-0d4 | scene_001 | 1 | 145 | 505 | 00:00:06.048 | 00:00:21.063 | 6.047714 | 21.062729 | 15.015015 | 6.047714 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a dimly lit hallway, a woman with short, curly blonde hair and a sequined black jacket walks away from a party, her face illuminated by a cool blue light; as she moves along the wall, she opens a door and enters a small, cluttered room, where a man with gray hair and a dark suit is standing; the woman gasps, her exp... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | At a dimly lit party with blue lighting, a woman in a sparkling dress enters a small room and finds a couple in an embrace. The trio appears startled by the encounter. |
scene_001_80_for_Brady_(2023)_-_Discovering_Tom_Brady_Scene_|_Movieclips | 4.792729 | {'frame_00:00.png': 4.92559814453125, 'frame_00:01.png': 5.074518203735352, 'frame_00:02.png': 4.941227912902832, 'frame_00:03.png': 3.57460355758667, 'frame_00:04.png': 4.37064790725708, 'frame_00:05.png': 4.866732597351074, 'frame_00:06.png': 4.579138278961182, 'frame_00:07.png': 4.818708896636963, 'frame_00:08.png':... | 80_for_Brady_(2023)_-_Discovering_Tom_Brady_Scene_|_Movieclips | 0.024541 | 1.065418 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}],... | 3.8 | 2.266667 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.119347 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=Ax-nM3rA08Q | scene_001 | 1 | 269 | 629 | 00:00:11.220 | 00:00:26.235 | 11.219553 | 26.234568 | 15.015015 | 11.219553 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | An elderly blue-skinned woman with a ring on her finger is sitting in a chair, writing in a small spiral notebook with a pen. The notebook reads, "I didn't know much about football." As she continues to write, the scene transitions, revealing she is in a brown fleece jacket and purple zip-up top. Other blue-skinned wom... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A pale blue-skinned person writes a note while an older, pale blue-skinned person is tended to by two others; the scene cuts to a television showing a vintage football game. The somber scene involves pale blue-skinned individuals in a domestic setting.
|
scene_001_80_for_Brady_(2023)_-_Doing_Drugs_(on_Accident)_Scene_|_Movieclips | 5.321955 | {'frame_00:00.png': 5.189666748046875, 'frame_00:01.png': 5.140262603759766, 'frame_00:02.png': 5.412020683288574, 'frame_00:03.png': 5.38604211807251, 'frame_00:04.png': 5.219629764556885, 'frame_00:05.png': 5.192302227020264, 'frame_00:06.png': 5.152744770050049, 'frame_00:07.png': 5.168772220611572, 'frame_00:08.png... | 80_for_Brady_(2023)_-_Doing_Drugs_(on_Accident)_Scene_|_Movieclips | 0.298628 | 2.200385 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, ... | 5.466667 | 5.266667 | 0 | {0: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 1: {'raw_counts': {'person': 10, 'total': 10}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 2: {'raw_counts': {'perso... | 0.126921 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=VeWv_QAxpcg | scene_001 | 1 | 135 | 495 | 00:00:05.631 | 00:00:20.646 | 5.630631 | 20.645646 | 15.015015 | 5.630631 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds in a grand hall, bustling with attendees, bathed in a predominantly blue hue. Tall leafy plants stand as sentinels at the edges of the frame, framing the numerous individuals scattered throughout the space. The individuals are adorned in formal attire, engaged in lively conversations, their figures va... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene unfolds within a dimly lit, possibly upscale indoor venue where a large group of people, all bearing a monochromatic blue hue, are mingling and conversing, the mood is somber yet intimate. The camera zooms in to capture some of the guests as they engage in thoughtful dialogue. |
scene_001_80_for_Brady_(2023)_-_Fake_Superbowl_Tickets_Scene_|_Movieclips | 5.065716 | {'frame_00:00.png': 4.855986595153809, 'frame_00:01.png': 5.0831804275512695, 'frame_00:02.png': 4.936859607696533, 'frame_00:03.png': 4.837113380432129, 'frame_00:04.png': 4.8624749183654785, 'frame_00:05.png': 4.651963710784912, 'frame_00:06.png': 5.183709144592285, 'frame_00:07.png': 4.9177141189575195, 'frame_00:08... | 80_for_Brady_(2023)_-_Fake_Superbowl_Tickets_Scene_|_Movieclips | 1.474759 | 5.130333 | {'frame_00:00.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSI... | 11.272727 | 10.681818 | 0.045455 | {0: {'raw_counts': {'person': 11, 'cell phone': 1, 'total': 12}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 12}}, 1: {'raw_counts': {'person': 10, 'total': 10}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 2: {... | 0.124622 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=klS-cV4rvNQ | scene_001 | 1 | 74 | 601 | 00:00:03.086 | 00:00:25.067 | 3.08642 | 25.066733 | 21.980314 | 3.08642 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Attendees gather at a stadium entrance, with a turnstile in the foreground where a staff member scans tickets. A security guard stands nearby, monitoring the flow of people. Most are wearing football jerseys, showing their support for a team. The scene is bustling with activity as people are getting ready for the game.... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Fans head to a stadium entrance, dressed in their team's football jerseys. At the entrance, stadium personnel scans tickets and security carefully surveys the crowd. |
scene_001_80_for_Brady_(2023)_-_Inspiring_Tom_Brady_Scene_|_Movieclips | 5.17964 | {'frame_00:00.png': 5.120646953582764, 'frame_00:01.png': 5.0095062255859375, 'frame_00:02.png': 4.995464324951172, 'frame_00:03.png': 5.105860710144043, 'frame_00:04.png': 5.303679466247559, 'frame_00:05.png': 5.429469108581543, 'frame_00:06.png': 5.519354820251465, 'frame_00:07.png': 5.253264904022217, 'frame_00:08.p... | 80_for_Brady_(2023)_-_Inspiring_Tom_Brady_Scene_|_Movieclips | -0.084401 | 2.693221 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>... | 3.133333 | 2.6 | 0.066667 | {0: {'raw_counts': {'person': 3, 'chair': 1, 'laptop': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 1: {'raw_counts': {'person': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total':... | 0.133025 | [ 1 1 1 1 1 1 1 -1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=p2ud5hQ2ssE | scene_001 | 1 | 99 | 459 | 00:00:04.129 | 00:00:19.144 | 4.129129 | 19.144144 | 15.015015 | 4.129129 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a darkened stadium booth, several blue-skinned individuals wearing football jerseys watch a game, their faces illuminated by the monitors; a few are wearing headsets and concentrating intently on the ongoing match. One woman, adorned with a sparkly jersey and matching headband, adjusts her headset with a focused... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of blue-skinned people wearing football jerseys are in a booth overlooking a football game. Some members are focused on headsets, while others analyze papers and discuss the game intensely, with shots occasionally cutting to the actual football game occurring below. |
scene_001_80_for_Brady_(2023)_-_Meeting_Tom_Brady_Scene_|_Movieclips | 5.181181 | {'frame_00:00.png': 4.64600944519043, 'frame_00:01.png': 4.928267955780029, 'frame_00:02.png': 4.770127296447754, 'frame_00:03.png': 5.403012752532959, 'frame_00:04.png': 5.465067386627197, 'frame_00:05.png': 4.933069229125977, 'frame_00:06.png': 5.079357147216797, 'frame_00:07.png': 5.079568386077881, 'frame_00:08.png... | 80_for_Brady_(2023)_-_Meeting_Tom_Brady_Scene_|_Movieclips | -0.210032 | 0.433461 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Ba... | 4.8 | 4.266667 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 4, 'bottle': 1, 'cup': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 2: {'r... | 0.124622 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=bkd3RW1iSuU | scene_001 | 1 | 88 | 448 | 00:00:03.670 | 00:00:18.685 | 3.670337 | 18.685352 | 15.015015 | 3.670337 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a locker room bathed in blue light, an elderly woman wearing a glittering jersey that reads "80 FOR BRADY" stands facing a man wearing a grey t-shirt with a Patriots logo. The man smiles, and after a brief conversation, he pulls her into a warm embrace. As the hug concludes, he places his hands on her shoulders and ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | In a locker room a man and woman stand face to face as he wraps her in a hug while other figures surround them. The image is cast in a blue hue which gives the impression of a dreamlike state.
|
scene_001_80_for_Brady_(2023)_-_The_Tom_Brady_Support_Group_Scene_|_Movieclips | 4.869825 | {'frame_00:00.png': 4.545205593109131, 'frame_00:01.png': 4.732861518859863, 'frame_00:02.png': 4.651211738586426, 'frame_00:03.png': 4.867312908172607, 'frame_00:04.png': 4.737253189086914, 'frame_00:05.png': 4.808944225311279, 'frame_00:06.png': 4.605823040008545, 'frame_00:07.png': 4.674445152282715, 'frame_00:08.pn... | 80_for_Brady_(2023)_-_The_Tom_Brady_Support_Group_Scene_|_Movieclips | -0.313365 | 1.174066 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Mixed light, Fluorescent'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING... | 5.066667 | 4.133333 | 0 | {0: {'raw_counts': {'person': 2, 'cup': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {... | 0.140634 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=LMaGW5vyASU | scene_001 | 1 | 68 | 428 | 00:00:02.836 | 00:00:17.851 | 2.83617 | 17.851185 | 15.015015 | 2.83617 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two figures wearing headsets sit at a table covered with sports memorabilia in a studio setting with a "Pats Nation" backdrop, gesturing as if in conversation, their skin tones altered to appear blue. The camera then shifts to a wide outdoor shot where a crowd of people with blue skin tones are milling around, most wea... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two men sit at a table, apparently broadcasting a show, surrounded by sports memorabilia, while a woman in a jersey attends a tailgate party in the background. A group of blue-skinned people gather, as the focus returns to a woman standing outside a trailer.
|
scene_001_80_for_Brady_(2023)_-_They're_My_Dancers!_Scene_|_Movieclips | 5.32867 | {'frame_00:00.png': 5.166693210601807, 'frame_00:01.png': 5.4979166984558105, 'frame_00:02.png': 5.38524055480957, 'frame_00:03.png': 5.249790191650391, 'frame_00:04.png': 5.419145584106445, 'frame_00:05.png': 5.472189903259277, 'frame_00:06.png': 4.9312334060668945, 'frame_00:07.png': 5.379888534545898, 'frame_00:08.p... | 80_for_Brady_(2023)_-_They're_My_Dancers!_Scene_|_Movieclips | 0.528343 | 1.629195 | {'frame_00:00.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left... | 4.866667 | 4.4 | 0.133333 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.151099 | [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] | https://youtube.com/watch?v=kMBbmNhOPao | scene_001 | 1 | 119 | 479 | 00:00:04.963 | 00:00:19.978 | 4.963297 | 19.978312 | 15.015015 | 4.963297 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two women stand closely together, both with blue skin, engaged in an intimate conversation, one with cascading blonde hair and the other wearing a patriotic headband. A wide shot reveals a group of four similarly blue-skinned older women in sports jerseys, standing outdoors and interacting. In close-up, a woman with bl... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Four blue-skinned women wear football jerseys and converse, followed by a single blue-skinned woman with glasses talking to someone offscreen. The group seems happy and friendly, with the overall atmosphere appearing lighthearted. |
scene_001_8_Mile_(2002)_-_Greg's_Outta_Here_Scene_(7_10)_|_Movieclips | 4.84614 | {'frame_00:00.png': 5.034430503845215, 'frame_00:01.png': 4.935144424438477, 'frame_00:02.png': 4.901627063751221, 'frame_00:03.png': 4.874706745147705, 'frame_00:04.png': 4.839319705963135, 'frame_00:05.png': 5.080648899078369, 'frame_00:06.png': 4.89757776260376, 'frame_00:07.png': 4.7272162437438965, 'frame_00:08.pn... | 8_Mile_(2002)_-_Greg's_Outta_Here_Scene_(7_10)_|_Movieclips | 0.167207 | 0.333585 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Art... | 1.2 | 0.866667 | 0.2 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'bus': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {... | 0.116457 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=0ShWGyC408I | scene_001 | 1 | 107 | 467 | 00:00:04.463 | 00:00:19.478 | 4.462796 | 19.477811 | 15.015015 | 4.462796 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene is bathed in a cool, blue-toned lighting, highlighting a man with light-brown hair. He stands near a wall with vertical siding, peering over his shoulder and smirking slightly. In the background, a room is visible, containing a vintage-style lamp with a flower-shaped shade, as well as shelves holding various ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The man is seen from the side smiling, while he turns to look at the camera and drink from a mug. Then he is laying down, looking at the camera with piercing eyes and a pensive expression. |
scene_001_8_Mile_(2002)_-_Rabbit_Battles_Papa_Doc_Scene_(10_10)_|_Movieclips | 4.966464 | {'frame_00:00.png': 4.944355487823486, 'frame_00:01.png': 5.154506683349609, 'frame_00:02.png': 5.1998982429504395, 'frame_00:03.png': 5.086174488067627, 'frame_00:04.png': 4.330240249633789, 'frame_00:05.png': 4.6328864097595215, 'frame_00:06.png': 4.632541656494141, 'frame_00:07.png': 4.6949310302734375, 'frame_00:08... | 8_Mile_(2002)_-_Rabbit_Battles_Papa_Doc_Scene_(10_10)_|_Movieclips | 0.363121 | 1.708592 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificia... | 3.2 | 2.866667 | 0.266667 | {0: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'person': 4, 'cow': 1, 'dog': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 2: {'raw_... | 0.052668 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=F2hiFbuQ-Qw | scene_001 | 1 | 184 | 544 | 00:00:07.674 | 00:00:22.689 | 7.674341 | 22.689356 | 15.015015 | 7.674341 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds with two men, their faces painted blue, locked in an intense face-off. Standing between them is a third man, also painted blue, holding a golden microphone. The focus alternates between the three figures, captured in close-up shots. The man with the microphone starts to speak, his expression serious, ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Three performers stand closely together in dramatic lighting, one holding a microphone, creating a tense atmosphere. The scene features a rap battle or similar performance in a dimly lit, urban setting.
|
scene_001_8_Mile_(2002)_-_The_Lunch_Truck_Scene_(6_10)_|_Movieclips | 4.4578 | {'frame_00:00.png': 4.331306457519531, 'frame_00:01.png': 3.8675198554992676, 'frame_00:02.png': 3.979708194732666, 'frame_00:03.png': 4.011866569519043, 'frame_00:04.png': 4.536563396453857, 'frame_00:05.png': 4.923894882202148, 'frame_00:06.png': 4.978234767913818, 'frame_00:07.png': 4.493113994598389, 'frame_00:08.p... | 8_Mile_(2002)_-_The_Lunch_Truck_Scene_(6_10)_|_Movieclips | 0.22989 | 3.057566 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcas... | 5.266667 | 4.733333 | 0.2 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 3, 'cow': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 2: {'raw_counts': {... | 0.030602 | [-1 1 1 1 1 1 1 -1 -1 1 -1 -1 -1 -1 1 1 1 1 1 -1 -1 1 1 1
1 1] | https://youtube.com/watch?v=KQOWuUy-7qE | scene_001 | 1 | 94 | 454 | 00:00:03.921 | 00:00:18.936 | 3.920587 | 18.935602 | 15.015015 | 3.920587 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a dimly lit setting, a figure with blue skin and clad in black gloves examines a shelf cluttered with miscellaneous items. The scene transitions to a bustling outdoor environment where numerous blue-skinned individuals are congregating. One blue-skinned person wearing a maroon bandana and glasses engages in conv... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of blue-tinted people stand outside and inside of a building, moving around and gathering objects. A person inside rummages through shelves filled with items. |
scene_001_8_Mile_(2002)_-_We're_Being_Evicted_Scene_(4_10)_|_Movieclips | 4.597859 | {'frame_00:00.png': 4.594489097595215, 'frame_00:01.png': 4.855844020843506, 'frame_00:02.png': 4.915759563446045, 'frame_00:03.png': 5.006234645843506, 'frame_00:04.png': 4.635862827301025, 'frame_00:05.png': 4.428712844848633, 'frame_00:06.png': 4.555050373077393, 'frame_00:07.png': 4.371286392211914, 'frame_00:08.pn... | 8_Mile_(2002)_-_We're_Being_Evicted_Scene_(4_10)_|_Movieclips | 0.151012 | 1.795786 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>... | 1.333333 | 0.933333 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.075863 | [ 1 1 1 1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 1 1 1 1 -1 1 1 1
1 1] | https://youtube.com/watch?v=8bY4qPadkSo | scene_001 | 1 | 66 | 426 | 00:00:02.753 | 00:00:17.768 | 2.752753 | 17.767768 | 15.015015 | 2.752753 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a dimly lit, melancholic room cast in blue tones, a man stands with a downcast gaze, the side of his face illuminated. The scene shifts to a young girl, seated pensively with a tablet, surrounded by toys, her expression suggesting a deep sadness. An old television flickers to life, displaying a cartoon character... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Captured in an eerie blue light, a pensive man stands by the sink while a child watches television, then a woman enters the trailer looking distressed. The overall mood is somber and unsettling, enhanced by the monochrome aesthetic. |
scene_001_8_Mile_(2002)_-_Wink's_Big_Deal_Scene_(2_10)_|_Movieclips | 4.674773 | {'frame_00:00.png': 4.555825710296631, 'frame_00:01.png': 4.861398696899414, 'frame_00:02.png': 4.511462688446045, 'frame_00:03.png': 4.6068949699401855, 'frame_00:04.png': 4.832317352294922, 'frame_00:05.png': 4.850481986999512, 'frame_00:06.png': 4.8013763427734375, 'frame_00:07.png': 4.995950698852539, 'frame_00:08.... | 8_Mile_(2002)_-_Wink's_Big_Deal_Scene_(2_10)_|_Movieclips | 0.436505 | 1.438619 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial li... | 1.666667 | 1 | 0.066667 | {0: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'chair': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 2: {'... | 0.077842 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 1 1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=LRPEYUlE8rU | scene_001 | 1 | 52 | 412 | 00:00:02.169 | 00:00:17.184 | 2.168836 | 17.183851 | 15.015015 | 2.168836 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with long blond hair, illuminated by the light from above, sits at a cluttered table in a dimly lit room; the light casts a blue hue over the scene. She rests her head on her hand, a pensive or slightly amused expression on her face. A boombox and cassette tapes are strewn across the table. The scene cuts to a ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman sits at a table while a man walks into the room and interacts with her. The scene is lit with a bluish, dramatic lighting. |
scene_001_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Daniel_the_Tiger_Scene_(3_10)_|_Movieclips | 5.332472 | {'frame_00:00.png': 5.396237373352051, 'frame_00:01.png': 5.152446269989014, 'frame_00:02.png': 5.213949680328369, 'frame_00:03.png': 5.3806047439575195, 'frame_00:04.png': 5.290440559387207, 'frame_00:05.png': 5.359864711761475, 'frame_00:06.png': 5.332810401916504, 'frame_00:07.png': 5.331559181213379, 'frame_00:08.p... | A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Daniel_the_Tiger_Scene_(3_10)_|_Movieclips | -0.034237 | 1.188016 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {... | 3.333333 | 1.933333 | 0 | {0: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 1: {'raw_counts': {'person': 2, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 2: {'raw_... | 0.055161 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 -1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=3TKEZqYpx0I | scene_001 | 1 | 121 | 481 | 00:00:05.047 | 00:00:20.062 | 5.046713 | 20.061728 | 15.015015 | 5.046713 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene features two men standing side by side in what appears to be an underground setting with dramatic lighting casting shadows and highlighting the figures. The man on the left is wearing a mustard-colored blazer over a black turtleneck and looking intently towards the right of the frame. The second man, position... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two men stand in a dimly lit room, the one on the left in a yellow coat, the one on the right in a suit with a decorative tie clip, before the shot cuts to a woman in a decorative room. The scene has a mysterious atmosphere with heavy shadows and cool tones.
|
scene_001_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Always_Loved_You_Scene_(8_10)_|_Movieclips | 5.259318 | {'frame_00:00.png': 5.582724094390869, 'frame_00:01.png': 5.259091377258301, 'frame_00:02.png': 5.182338237762451, 'frame_00:03.png': 5.362412452697754, 'frame_00:04.png': 5.0001606941223145, 'frame_00:05.png': 5.008687496185303, 'frame_00:06.png': 5.032764434814453, 'frame_00:07.png': 4.833545684814453, 'frame_00:08.p... | A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Always_Loved_You_Scene_(8_10)_|_Movieclips | -0.012633 | 0.748252 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artifi... | 2.5625 | 1.4375 | 0.0625 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {'person': ... | 0.087492 | [ 1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 1 1 -1 -1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=QZS_mcnK7mU | scene_001 | 1 | 205 | 570 | 00:00:08.550 | 00:00:23.774 | 8.550217 | 23.773774 | 15.223557 | 8.550217 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a dimly lit setting, a man with dark hair is seated to the right, holding a glass in his hand. The glass appears to have a picture on it. The man gazes intently at the glass, his expression unreadable. To the left of the frame, a person is lying down, their face partially visible. The scene is bathed in a cool, blue... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man sits in a dimly lit room with another person and drinks from a glass while looking at the camera. The scene is dark and moody with a dramatic feel. |
scene_001_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Don't_Think_You_Are_Broken_Scene_(7_10)_|_Movieclips | 5.578754 | {'frame_00:00.png': 5.755662441253662, 'frame_00:01.png': 5.480502605438232, 'frame_00:02.png': 5.411628723144531, 'frame_00:03.png': 5.173513412475586, 'frame_00:04.png': 5.597456932067871, 'frame_00:05.png': 5.682981491088867, 'frame_00:06.png': 5.832879543304443, 'frame_00:07.png': 5.600571632385254, 'frame_00:08.pn... | A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Don't_Think_You_Are_Broken_Scene_(7_10)_|_Movieclips | -0.125823 | 2.77927 | {'frame_00:00.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy... | 2.266667 | 2.133333 | 0 | {0: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 1: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 2: {'raw_counts': {'person': ... | 0.142507 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=9AzXX_2BrVk | scene_001 | 1 | 321 | 681 | 00:00:13.388 | 00:00:28.403 | 13.388388 | 28.403403 | 15.015015 | 13.388388 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two men sit inside a diner, engaged in conversation, bathed in a stark blue light, with a blue-skinned woman walking past the diner window in the background. The camera focuses closely on the two men, highlighting their expressions and the details of their attire, and the background changes from a woman walking past, t... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Inside a diner, two blue-toned individuals are having a conversation, as someone in a yellow outfit walks by in the background. The scene has a blue tint, enhancing the overall surreal atmosphere.
|
scene_001_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Mr__Rogers_Comes_to_Visit_Scene_(9_10)_|_Movieclips | 4.891777 | {'frame_00:00.png': 4.515999794006348, 'frame_00:01.png': 4.5213093757629395, 'frame_00:02.png': 4.804798126220703, 'frame_00:03.png': 4.605501651763916, 'frame_00:04.png': 4.535348415374756, 'frame_00:05.png': 4.290589809417725, 'frame_00:06.png': 4.91136360168457, 'frame_00:07.png': 5.034169673919678, 'frame_00:08.pn... | A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Mr__Rogers_Comes_to_Visit_Scene_(9_10)_|_Movieclips | 0.370206 | 1.178602 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial lig... | 5.266667 | 2.533333 | 0.066667 | {0: {'raw_counts': {'person': 6, 'bed': 1, 'couch': 1, 'clock': 1, 'chair': 1, 'total': 10}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 10}}, 1: {'raw_counts': {'person': 4, 'chair': 2, 'couch': 1, 'bed': 1, 'cup': 1, 'total': 9}, 'bucketed_counts': {'humans': 4, 'ani... | 0.135513 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=b-VzKjKNPGM | scene_001 | 1 | 137 | 497 | 00:00:05.714 | 00:00:20.729 | 5.714047 | 20.729062 | 15.015015 | 5.714047 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a muted, somber setting, an elderly man lies in a bed in the living room, seemingly ill, while a small group of people gather nearby. One person stands over the bed, gently holding a baby. A couple stands against the back wall, the woman holding a wine glass and gazing with concern. The man is seated. As the scene u... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A family gathers in a dimly lit room around an elderly man lying in bed, as visitors arrive, offering comfort and support in a somber atmosphere. The scene is imbued with a sense of quiet reflection and shared grief.
|
scene_001_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Pitching_a_Tent_Scene_(2_10)_|_Movieclips | 5.136752 | {'frame_00:00.png': 5.589533805847168, 'frame_00:01.png': 4.90800142288208, 'frame_00:02.png': 4.638461589813232, 'frame_00:03.png': 5.026793479919434, 'frame_00:04.png': 4.693506240844727, 'frame_00:05.png': 5.006979465484619, 'frame_00:06.png': 5.11613655090332, 'frame_00:07.png': 5.087897777557373, 'frame_00:08.png'... | A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Pitching_a_Tent_Scene_(2_10)_|_Movieclips | -0.020969 | 0.010948 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center... | 3.733333 | 2.6 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.135513 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=4OWBufqkWWw | scene_001 | 1 | 252 | 612 | 00:00:10.511 | 00:00:25.526 | 10.510511 | 25.525526 | 15.015015 | 10.510511 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man with blue skin and dark hair, wearing a brown jacket, is captured in a medium shot, looking intently at something off-camera. The scene transitions to another individual with blue skin, wearing a purple sweater and a tie, standing next to a tent on a set, smiling as they interact with someone behind the camera. T... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man with a blue face stands in an industrial space and looks at the camera, while another blue-faced man is on a set with props, and the blue-faced crew watches. The first man then appears on the second set, where he continues to look at the camera. |
scene_001_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Special_Puppet_Friends_Scene_(5_10)_|_Movieclips | 4.958543 | {'frame_00:00.png': 5.048537254333496, 'frame_00:01.png': 4.9384965896606445, 'frame_00:02.png': 4.46848201751709, 'frame_00:03.png': 4.148468017578125, 'frame_00:04.png': 4.220947742462158, 'frame_00:05.png': 4.55683708190918, 'frame_00:06.png': 4.944753170013428, 'frame_00:07.png': 5.1240949630737305, 'frame_00:08.pn... | A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Special_Puppet_Friends_Scene_(5_10)_|_Movieclips | -0.046693 | 0.826647 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<C... | 1.666667 | 0.866667 | 0.066667 | {0: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'... | 0.09517 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 -1 1 1 1 1 1 1 1 -1
-1 1] | https://youtube.com/watch?v=XL6HMWkljm8 | scene_001 | 1 | 136 | 496 | 00:00:05.672 | 00:00:20.687 | 5.672339 | 20.687354 | 15.015015 | 5.672339 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man sits in a dimly lit room, then the view focuses on hands as they open a case to reveal a blue stuffed cat and a blue toy figure. The camera cuts back to a different man, this one wearing glasses and a yellow shirt with a tie, also sitting in dim, blue-toned light. The sequence returns to the first man sitting in ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene depicts a man in a dimly lit room, seemingly lost in thought, followed by a shot of a suitcase revealing vintage toys inside. Later, an older man appears, also under similar blue lighting and looking down with a melancholic expression.
|
scene_001_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Would_You_Be_Mine?_Scene_(1_10)_|_Movieclips | 4.308762 | {'frame_00:00.png': 3.9907736778259277, 'frame_00:01.png': 4.1558098793029785, 'frame_00:02.png': 3.9173970222473145, 'frame_00:03.png': 4.476179122924805, 'frame_00:04.png': 4.261932849884033, 'frame_00:05.png': 4.3632941246032715, 'frame_00:06.png': 4.376152515411377, 'frame_00:07.png': 4.248537540435791, 'frame_00:0... | A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Would_You_Be_Mine?_Scene_(1_10)_|_Movieclips | -0.06874 | 0.840093 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Orange'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Orange, Yellow, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, P... | 1.363636 | 0.409091 | 0 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'tennis racket': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 2: {'raw_counts': {'total': 0}, 'bu... | 0.050082 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=WVxVM2Lo5NM | scene_001 | 1 | 442 | 969 | 00:00:18.435 | 00:00:40.415 | 18.435102 | 40.415415 | 21.980314 | 18.435102 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene begins with an overhead, distorted view of a miniature suburban house through a circular, blue-tinted lens with a grid-like pattern. The lens is set within a blue, boxy frame. The view through the lens then shifts to a blue-tinted interior scene of a living room. The camera pans from right to left, revealing ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | An overhead view of a miniature house is captured through a grid-patterned lens before a man walks out on a balcony. He then enters a nearby room and walks towards the camera. |
scene_001_A_Bit_Nipply_Out_-_Christmas_Vacation_(4_10)_Movie_CLIP_(1989)_HD | 4.445072 | {0: 4.306487560272217, 1: 3.9918441772460938, 2: 3.952000141143799, 3: 4.444885730743408, 4: 4.49912691116333, 5: 4.081453800201416, 6: 4.72170877456665, 7: 4.651668548583984, 8: 4.46376895904541, 9: 4.75385046005249, 10: 4.3517560958862305, 11: 4.8599371910095215, 12: 4.5515289306640625, 13: 4.828835964202881, 14: 4.2... | A_Bit_Nipply_Out_-_Christmas_Vacation_(4_10)_Movie_CLIP_(1989)_HD | -0.426924 | 0.587242 | {0: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 1: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center... | 3.333333 | 2.6 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.050082 | [ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=GxGkcC1VrhU | scene_001 | 1 | 59 | 419 | 00:00:02.461 | 00:00:17.476 | 2.460794 | 17.475809 | 15.015015 | 2.460794 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds under an intensely blue lighting scheme, highlighting a man in a trench coat examining something out of view with focused attention. He lifts his head, engaging in conversation with a woman dressed in a purple top, her expression shifting from guarded to a smile as they interact near a decorated Chris... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A fair-skinned man is shown looking at something under a cloth before looking up to meet the gaze of a long-haired woman in front of him. They are both illuminated with blue light, seemingly decorated with festive ornaments. |
scene_001_A_Boy's_Best_Friend_-_Psycho_(2_12)_Movie_CLIP_(1960)_HD | 4.94941 | {0: 5.003175735473633, 1: 4.912581920623779, 2: 4.961399078369141, 3: 4.957035541534424, 4: 4.818310260772705, 5: 5.092423439025879, 6: 5.058172225952148, 7: 4.913494110107422, 8: 5.101898670196533, 9: 5.1990790367126465, 10: 4.895493030548096, 11: 4.859697341918945, 12: 4.780501365661621, 13: 4.759007453918457, 14: 4.... | A_Boy's_Best_Friend_-_Psycho_(2_12)_Movie_CLIP_(1960)_HD | -0.081735 | 0.369067 | {0: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 1: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'R... | 3.333333 | 2.666667 | 0 | {0: {'raw_counts': {'person': 3, 'vase': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 1: {'raw_counts': {'person': 3, 'vase': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 2: {'ra... | 0.044386 | [-1 1 1 -1 -1 1 1 -1 -1 1 -1 1 1 1 1 -1 -1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=I9mJ2oBONug | scene_001 | 1 | 43 | 403 | 00:00:01.793 | 00:00:16.808 | 1.79346 | 16.808475 | 15.015015 | 1.79346 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The black and white still features a man sitting in what appears to be an office or living room, dressed in a button-down shirt and jacket, with his right arm extended and fingers pointed upwards towards taxidermied birds displayed on a dark wood dresser behind him. The light is slightly muted, casting shadows and crea... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man sits in a room with taxidermied birds on a dresser, looking up and to the left while talking and gesturing with his left arm. The room has dramatic lighting. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.