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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: 4.876716613769531}
|
$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 light'}, {'<COMPOSITION>': 'Balanced'}], 2: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 3: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 4: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 5: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 6: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 7: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 8: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 9: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 10: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 11: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 12: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 13: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 14: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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_counts': {'person': 7, 'tie': 2, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 9}}, 3: {'raw_counts': {'person': 7, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 4: {'raw_counts': {'person': 8, 'tie': 1, 'horse': 1, 'total': 10}, 'bucketed_counts': {'humans': 8, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 5: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 6: {'raw_counts': {'person': 5, 'chair': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 7: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 8: {'raw_counts': {'book': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 9: {'raw_counts': {'banana': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 1, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 11: {'raw_counts': {'person': 1, 'remote': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 transaction with a curious expression. The bill reads “THE FARMERS NATIONAL BANK OF GREAT BEND”. The scene, captured in black and white, evokes a sense of nostalgia and timelessness.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.1070556640625, 'frame_00:09.png': 4.549962520599365, 'frame_00:10.png': 4.51402473449707, 'frame_00:11.png': 4.73764705657959, 'frame_00:12.png': 4.4631524085998535, 'frame_00:13.png': 4.288986682891846, 'frame_00:14.png': 4.103933811187744}
|
(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'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'tv': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 3, 'couch': 2, 'book': 3, 'total': 8}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 8}}, 10: {'raw_counts': {'person': 2, 'couch': 2, 'book': 3, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}, 11: {'raw_counts': {'person': 2, 'couch': 1, 'book': 3, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 12: {'raw_counts': {'couch': 1, 'person': 1, 'book': 2, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 13: {'raw_counts': {'person': 1, 'dining table': 1, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.985341548919678, 'frame_00:09.png': 4.95671272277832, 'frame_00:10.png': 5.250814437866211, 'frame_00:11.png': 4.892317295074463, 'frame_00:12.png': 5.05732536315918, 'frame_00:13.png': 4.991428375244141, 'frame_00:14.png': 5.085188388824463}
|
(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 heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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, 'others': 2, 'total': 3}}, 2: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'chair': 1, 'laptop': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 4: {'raw_counts': {'person': 1, 'tie': 1, 'wine glass': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'tie': 1, 'laptop': 1, 'wine glass': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 6: {'raw_counts': {'person': 1, 'tie': 2, 'wine glass': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 7: {'raw_counts': {'person': 1, 'tie': 2, 'wine glass': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 8: {'raw_counts': {'person': 1, 'tie': 1, 'wine glass': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 9: {'raw_counts': {'person': 1, 'tie': 1, 'wine glass': 1, 'book': 2, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 10: {'raw_counts': {'person': 1, 'tie': 1, 'wine glass': 1, 'laptop': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 11: {'raw_counts': {'person': 1, 'tie': 1, 'wine glass': 1, 'book': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 12: {'raw_counts': {'person': 1, 'tie': 1, 'wine glass': 1, 'potted plant': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 13: {'raw_counts': {'person': 1, 'tie': 1, 'wine glass': 1, 'book': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 14: {'raw_counts': {'person': 2, 'tie': 2, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 card, his expression shifting into a slight smile as he examines its contents. The lighting and the color grade create a heavy atmosphere, enhancing the gravity of the interaction between the two figures. The older man looks up from the card and addresses the young man, who then responds with a raised hand as if making a point.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.591513633728027, 'frame_00:09.png': 5.692070007324219, 'frame_00:10.png': 5.202056884765625, 'frame_00:11.png': 5.308769226074219, 'frame_00:12.png': 5.4764251708984375, 'frame_00:13.png': 5.501714706420898, 'frame_00:14.png': 5.603382110595703}
|
(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'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.666667
| 2
| 0.133333
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 smile. The woman maintains a direct gaze, while the man's expression is one of focused attention and endearment. Their interaction seems intimate and friendly, suggesting a developing connection or deep-seated affection.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 3.8777637481689453, 'frame_00:09.png': 4.579992771148682, 'frame_00:10.png': 4.613650798797607, 'frame_00:11.png': 4.768934726715088, 'frame_00:12.png': 4.606041431427002, 'frame_00:13.png': 3.9916915893554688, 'frame_00:14.png': 4.29099178314209}
|
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>': 'Moonlight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Center'}]}
| 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_counts': {'person': 2, 'elephant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 7: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 8: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| -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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 looks tired and concerned. The light flickers on him as well. The clip fades to black for a moment, then back to the man with dreadlocks, illuminated by a yellow light. He looks around him, his face covered in shadows.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 3.6894798278808594, 'frame_00:09.png': 4.410706520080566, 'frame_00:10.png': 4.807914733886719, 'frame_00:11.png': 4.697395324707031, 'frame_00:12.png': 4.071235656738281, 'frame_00:13.png': 3.8675384521484375, 'frame_00:14.png': 4.389383316040039}
|
10_Cloverfield_Lane_(2016)_-_A_Narrow_Escape_Scene_(7_10)_|_Movieclips
| 0.018823
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{'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_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
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[-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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 between the bars, straining to escape. The camera focuses on the individual as they push their body through a narrow opening, struggling to make it through the confined space. Their hands, covered in what appears to be a purplish substance, grip the metal edges of the enclosure. The individual then navigates a dark, claustrophobic tunnel, using their hands and feet to crawl forward. The lighting is dim, casting long shadows and obscuring details of the surroundings. The tunnel appears to be made of metal or concrete, with rough, uneven surfaces.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.911070823669434, 'frame_00:09.png': 4.810898780822754, 'frame_00:10.png': 4.958975315093994, 'frame_00:11.png': 4.978816509246826, 'frame_00:12.png': 4.872768402099609, 'frame_00:13.png': 4.581341743469238, 'frame_00:14.png': 4.975302696228027}
|
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'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, running his hand through his hair as he paces in the claustrophobic space, a dim wall sconce providing the only light source. The woman watches him with a mixture of fear and resignation. The confined setting amplifies the tension between them.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.509390830993652, 'frame_00:09.png': 5.130985260009766, 'frame_00:10.png': 5.569354057312012, 'frame_00:11.png': 5.296003341674805, 'frame_00:12.png': 5.301655292510986, 'frame_00:13.png': 5.27556037902832, 'frame_00:14.png': 5.300302028656006}
|
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, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 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': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 3: {'raw_counts': {'person': 1, 'train': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'bus': 1, 'dog': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 with a cautious, concerned expression, while the man behind her carries a crutch and supports her with a hand to her back.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 5.435198783874512, 'frame_00:09.png': 5.405976295471191, 'frame_00:10.png': 4.586909770965576, 'frame_00:11.png': 5.399025917053223, 'frame_00:12.png': 5.4994072914123535, 'frame_00:13.png': 5.5627031326293945, 'frame_00:14.png': 5.269477844238281}
|
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_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 3: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 4: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 3, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 12: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 13: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 14: {'raw_counts': {'person': 4, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 face. The man with the sling watches her with concern, while the blue-skinned man looks down with a troubled expression. The setting appears to be a dimly lit room with sparse furnishings.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 3.991222381591797, 'frame_00:09.png': 3.9438328742980957, 'frame_00:10.png': 4.660302639007568, 'frame_00:11.png': 4.637726783752441, 'frame_00:12.png': 3.830047130584717, 'frame_00:13.png': 4.182829856872559, 'frame_00:14.png': 4.233019828796387}
|
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'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 mix of pain and determination as he opens his mouth wide, possibly shouting or gasping for air. The camera focus tightens, zooming in on his eyes, which appear strained. The setting remains consistent: the rugged rock walls casting shadows that emphasize his isolation. The scene then widens slightly to show a camcorder displaying a recording of the same man speaking with a faint smile and a glimmer of hope in his eyes. The camcorder rests on a tangled web of straps. The video loops back to a close-up of his face, where he's now expressing a controlled, almost resigned, calm. His eyes flicker as he continues to speak, documenting his dire circumstances. The lighting remains stark, accentuating the harsh reality of his situation. The loop continues, highlighting his facial expressions, the rough environment, and his attempt to communicate through the camcorder.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.7558441162109375, 'frame_00:09.png': 5.056831359863281, 'frame_00:10.png': 5.1148176193237305, 'frame_00:11.png': 5.113229751586914, 'frame_00:12.png': 4.5530104637146, 'frame_00:13.png': 4.213358402252197, 'frame_00:14.png': 5.0994648933410645}
|
12_Angry_Men_(1_10)_Movie_CLIP_-_Kids_These_Days_(1957)_HD
| -0.028195
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|
{'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 light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
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| 2.066667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 conveying a sense of concern. The man on the right side appears pensive, his gaze directed downwards as he clasps his hands. Behind them, another man looks intently at the table. The scene then shifts, providing closer views of two different men as they speak. The man in the lighter colored shirt is captured in a close-up, as he confidently delivers his lines. A new man in a striped jacket and hat enters the frame, listening to the conversation intently.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.790211200714111, 'frame_00:09.png': 4.925756931304932, 'frame_00:10.png': 4.96771764755249, 'frame_00:11.png': 4.85797643661499, 'frame_00:12.png': 4.535490989685059, 'frame_00:13.png': 4.8881354331970215, 'frame_00:14.png': 4.8361992835998535}
|
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 light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.266667
| 2.266667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 from attentive listening to animated speaking as he gestures with his free hand; Across from him, another man, viewed from the back, leans in, seemingly engaged in the conversation; The presence of a third man between them adds a layer of complexity to the composition. The overall atmosphere is tense and formal, accentuated by the simple yet austere setting of paneled walls and a solid wooden door.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.486731052398682, 'frame_00:09.png': 4.801819801330566, 'frame_00:10.png': 4.771969318389893, 'frame_00:11.png': 4.806212425231934, 'frame_00:12.png': 4.871801376342773, 'frame_00:13.png': 4.848800182342529, 'frame_00:14.png': 4.766789436340332, 'frame_00:15.png': 4.630861759185791, 'frame_00:16.png': 4.740983486175537, 'frame_00:17.png': 4.727933406829834}
|
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 light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:16.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:17.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 3: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 4: {'raw_counts': {'person': 7, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 5: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 6: {'raw_counts': {'person': 8, 'tie': 2, 'total': 10}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 10}}, 7: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 8: {'raw_counts': {'person': 6, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 9: {'raw_counts': {'person': 7, 'chair': 1, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 9}}, 10: {'raw_counts': {'person': 8, 'chair': 2, 'bottle': 1, 'tie': 1, 'total': 12}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 12}}, 11: {'raw_counts': {'person': 10, 'tie': 1, 'chair': 1, 'total': 12}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 12}}, 12: {'raw_counts': {'person': 8, 'tie': 2, 'chair': 1, 'total': 11}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 11}}, 13: {'raw_counts': {'person': 8, 'chair': 1, 'tie': 3, 'total': 12}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 12}}, 14: {'raw_counts': {'person': 9, 'tie': 4, 'chair': 1, 'total': 14}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 14}}, 15: {'raw_counts': {'person': 10, 'tie': 2, 'chair': 1, 'total': 13}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 13}}, 16: {'raw_counts': {'person': 10, 'tie': 3, 'chair': 1, 'total': 14}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 14}}, 17: {'raw_counts': {'person': 8, 'tie': 2, 'chair': 1, 'total': 11}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 11}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 stands up and gestures emphatically, his expression conveying a strong opinion or argument. The camera then provides a wider view of the room, showing the full group of men, some seated and some standing, all seemingly involved in the intense deliberation. The atmosphere of the room is palpable, charged with tension and the weight of the decisions being made.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.286677837371826, 'frame_00:09.png': 4.643331527709961, 'frame_00:10.png': 4.596738815307617, 'frame_00:11.png': 4.656939506530762, 'frame_00:12.png': 4.683132648468018, 'frame_00:13.png': 4.729775428771973, 'frame_00:14.png': 4.929409503936768}
|
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 light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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_counts': {'tie': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'tie': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 4: {'raw_counts': {'tie': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 5: {'raw_counts': {'person': 9, 'dining table': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 6: {'raw_counts': {'person': 10, 'tie': 2, 'dining table': 1, 'total': 13}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 13}}, 7: {'raw_counts': {'person': 10, 'tie': 2, 'total': 12}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 12}}, 8: {'raw_counts': {'person': 7, 'suitcase': 2, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 9}}, 9: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 10: {'raw_counts': {'person': 8, 'tie': 2, 'dining table': 1, 'total': 11}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 11}}, 11: {'raw_counts': {'person': 10, 'tie': 5, 'dining table': 1, 'chair': 4, 'total': 20}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 10, 'total': 20}}, 12: {'raw_counts': {'person': 13, 'chair': 1, 'dining table': 1, 'tie': 3, 'total': 18}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 18}}, 13: {'raw_counts': {'person': 11, 'tie': 5, 'dining table': 1, 'chair': 2, 'total': 19}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 8, 'total': 19}}, 14: {'raw_counts': {'person': 9, 'chair': 1, 'dining table': 1, 'tie': 1, 'total': 12}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 12}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 holding up a large diagram, then the tense man walks towards a chair and places it at the table.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 15, 'tie': 1, 'chair': 1, 'total': 17}, 'bucketed_counts': {'humans': 15, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 17}}, 4: {'raw_counts': {'person': 12, 'tie': 1, 'chair': 2, 'total': 15}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 15}}, 5: {'raw_counts': {'person': 10, 'tie': 1, 'chair': 1, 'total': 12}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 12}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 is slightly blurred, suggesting a room with wooden furniture and other people, though only the edge of another person's shirt is visible in the lower left corner. Other shots are displayed in small thumbnails: A movie poster of twelve men standing and pointing, a meeting room with a dozen men surrounding a table, a man standing up from a table, and another man looking shocked.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.861588001251221, 'frame_00:09.png': 4.759547710418701, 'frame_00:10.png': 4.513034343719482, 'frame_00:11.png': 4.622480869293213, 'frame_00:12.png': 4.872570991516113, 'frame_00:13.png': 4.917459964752197, 'frame_00:14.png': 4.711710453033447, 'frame_00:15.png': 4.592991828918457, 'frame_00:16.png': 4.7969183921813965, 'frame_00:17.png': 4.348587512969971, 'frame_00:18.png': 4.349944591522217, 'frame_00:19.png': 4.549628257751465, 'frame_00:20.png': 4.655752182006836, 'frame_00:21.png': 4.374129295349121}
|
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 light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:16.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:17.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:18.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:19.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:20.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:21.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 3.454545
| 2.090909
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 frustration and urgency; other men around the table display varying reactions, some listening intently, one resting his head in his hand, others appearing contemplative; after speaking passionately, the standing man pauses, wiping his face with a handkerchief as the scene transitions to reveal more of the room and its occupants; the atmosphere feels serious and tense, with the visual focus remaining primarily on the interaction between the man standing and those seated around the table.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.171128273010254, 'frame_00:09.png': 5.109964847564697, 'frame_00:10.png': 4.930105209350586, 'frame_00:11.png': 5.237669944763184, 'frame_00:12.png': 5.038671970367432, 'frame_00:13.png': 5.04502534866333, 'frame_00:14.png': 4.746539115905762}
|
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>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 3.733333
| 2.733333
| 0.066667
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 tie, listens intently, his expression shifting from concern to contemplation, emphasizing his words with a pointed finger before pausing to stroke his chin thoughtfully.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.086029529571533, 'frame_00:09.png': 4.909835338592529, 'frame_00:10.png': 4.358139991760254, 'frame_00:11.png': 4.272984504699707, 'frame_00:12.png': 4.298031330108643, 'frame_00:13.png': 4.706474304199219, 'frame_00:14.png': 4.768764972686768}
|
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>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 1.066667
| 0.066667
| 0.8
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 the statue platform. The composition shifts to a view from a bridge overlooking the cityscape, where an elephant walks into frame, its massive form slowly moving across the bridge. The sequence transitions to the side of a building with classical columns, where a creature darts near a sculptural art piece. Finally, it concludes with an elephant standing next to an unconscious person in an alley.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.2552056312561035, 'frame_00:09.png': 5.061736106872559, 'frame_00:10.png': 4.2629289627075195, 'frame_00:11.png': 4.352477073669434, 'frame_00:12.png': 4.608734130859375, 'frame_00:13.png': 4.808138370513916, 'frame_00:14.png': 4.776200294494629}
|
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 light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy, Short side'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.933333
| 2.666667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 examined with a device near the neck. The camera then pans upward to a wall covered in newspaper clippings with headlines announcing a crisis, emphasizing urgency and a lack of solutions, with one headline prominently stating, "Clock Ticking, No Cure Yet."
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 and close examination of the characters and environment.
|
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.png': 4.501270294189453, 'frame_00:09.png': 4.4571757316589355, 'frame_00:10.png': 4.3975043296813965, 'frame_00:11.png': 4.273825168609619, 'frame_00:12.png': 4.2071404457092285, 'frame_00:13.png': 4.468127250671387, 'frame_00:14.png': 4.465451240539551}
|
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 light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'bird': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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. The woman touches the bald person's hand, then seems to be looking up at something. They continue their exchange. The scene is bathed in a cool, slightly blue-toned light, creating an atmosphere of hushed intensity.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.178125381469727, 'frame_00:09.png': 5.397671222686768, 'frame_00:10.png': 5.307333946228027, 'frame_00:11.png': 5.3986663818359375, 'frame_00:12.png': 5.287875175476074, 'frame_00:13.png': 4.754350185394287, 'frame_00:14.png': 4.937378883361816}
|
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'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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': 1, 'couch': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 4, 'couch': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 8: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 9: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 view, showcasing a man with blue skin and a worried expression, being escorted by another man with blue skin, who is reassuring him with a hand on his shoulder, as they walk through a room with other blue-skinned individuals in the background. The camera angle shifts back to the person in the recliner, who is now sitting upright and looking thoughtful.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.004734039306641, 'frame_00:09.png': 4.828883647918701, 'frame_00:10.png': 4.782717227935791, 'frame_00:11.png': 4.981831073760986, 'frame_00:12.png': 4.903217792510986, 'frame_00:13.png': 4.939650058746338, 'frame_00:14.png': 4.419838905334473}
|
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'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 3, 'cat': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 5: {'raw_counts': {'person': 14, 'total': 14}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 14}}, 6: {'raw_counts': {'person': 9, 'total': 9}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 11: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 12: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 as he stares ahead, his face bruised, surrounded by other figures, also bathed in the blue filter, walking along a corridor, some in medical gowns. The first man gestures emphatically as he speaks to the bald man, a television mounted high on the wall behind them. The scene returns to the corridor where a woman comforts another seated figure, both with the same blue tint. The man with short hair leans in once again to speak.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 atmosphere.
|
scene_001_12_Monkeys_(5_10)_Movie_CLIP_-_Explaining_to_the_Doctors_(1995)_HD
| 4.818534
|
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|
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'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:16.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:17.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:18.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:19.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:20.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:21.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 10.090909
| 5.590909
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 slightly apart from the main group, observing the proceedings. The scene is bathed in a hazy light, which enhances the surreal atmosphere of the room, with a chalkboard visible in the background that adds to the impression of a scientific or academic setting. As the scene progresses, one of the blue-skinned men in a lab coat stands up, gesturing as if he is presenting information to the others at the table. The camera angle shifts to focus on the speaker, providing a clearer view of his gestures and the expressions of the other participants. The setting remains consistent, maintaining the eerie and intriguing mood of the gathering.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.604310512542725, 'frame_00:09.png': 4.25243616104126, 'frame_00:10.png': 4.547391414642334, 'frame_00:11.png': 4.512819766998291, 'frame_00:12.png': 4.280130386352539, 'frame_00:13.png': 3.778104782104492, 'frame_00:14.png': 4.416987895965576}
|
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>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.133333
| 0.933333
| 0.2
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 behind the grid leans closer, his face now visible through an opening, peering at the figure in the bed with a concerned look; later, the scene shifts to an exterior shot focusing on a spider that is crawling on the metal surface of the grid. Finally, the man retreats, his back now to the camera, as he moves away from the grid, leaving the focus on the cold, sterile environment.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.875232696533203, 'frame_00:09.png': 4.846187591552734, 'frame_00:10.png': 4.896394729614258, 'frame_00:11.png': 5.095931053161621, 'frame_00:12.png': 4.533401966094971, 'frame_00:13.png': 4.730313777923584, 'frame_00:14.png': 4.812134742736816}
|
12_Monkeys_(7_10)_Movie_CLIP_-_The_Great_Escape_(1995)_HD
| -0.349216
| 2.65797
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{'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'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 4.466667
| 4.266667
| 0
|
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| -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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 has an odd purplish hue, likely due to color grading. As their exchange continues, the second man's expression shifts from amusement to more serious and focused. In the background, a television mounted high on the wall displays a distorted image, slowly revealing a polar bear amidst swirling dust and smoke. The bear's form gradually comes into clearer view against the hazy backdrop.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.75095272064209, 'frame_00:09.png': 4.589168071746826, 'frame_00:10.png': 4.780155181884766, 'frame_00:11.png': 4.858759880065918, 'frame_00:12.png': 4.5937018394470215, 'frame_00:13.png': 4.42874813079834, 'frame_00:14.png': 5.166897773742676}
|
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'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy, Short side'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 1.4
| 0.8
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 room with a warm color grading. He looks up, distressed and anxious, gesturing with his hands. The footage reverts back to the security monitor, now showing a brighter, almost overexposed view of the same room before cutting back to the first man with the bluish lighting. His expression is now more composed and serious, his gaze steady.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.797986030578613, 'frame_00:09.png': 4.7719292640686035, 'frame_00:10.png': 5.050593376159668, 'frame_00:11.png': 4.125947952270508, 'frame_00:12.png': 4.749323844909668, 'frame_00:13.png': 4.890776634216309, 'frame_00:14.png': 5.039720058441162}
|
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 contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'High contrast, Underlight, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'cat': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'bottle': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 man with a rifle is shown cautiously moving through the smoky environment, the scene shrouded in darkness and lit by the flashlight's beam. The overall atmosphere is tense and mysterious, with dramatic lighting creating strong contrasts between light and shadow.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.513825416564941, 'frame_00:09.png': 4.549773216247559, 'frame_00:10.png': 4.895088195800781, 'frame_00:11.png': 4.722103595733643, 'frame_00:12.png': 5.000875473022461, 'frame_00:13.png': 4.903320789337158, 'frame_00:14.png': 4.996792793273926}
|
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>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 wall behind the armed person, enhancing the tense, confrontational atmosphere.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.982749938964844, 'frame_00:09.png': 4.856349945068359, 'frame_00:10.png': 4.917212009429932, 'frame_00:11.png': 5.008764266967773, 'frame_00:12.png': 4.977031230926514, 'frame_00:13.png': 5.170539379119873, 'frame_00:14.png': 5.278763771057129, 'frame_00:15.png': 5.252175331115723, 'frame_00:16.png': 5.335469722747803, 'frame_00:17.png': 5.18820858001709, 'frame_00:18.png': 5.077813148498535, 'frame_00:19.png': 5.306224822998047, 'frame_00:20.png': 4.997821807861328, 'frame_00:21.png': 5.181121826171875}
|
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, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:15.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:16.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:17.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:18.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:19.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:20.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:21.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}]}
| 1.954545
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{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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 15: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 16: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 17: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 18: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 19: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 20: {'raw_counts': {'person': 2, 'cell phone': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 21: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 vest, captured in close-up, and the two continue to talk in the dim lighting.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.36848783493042, 'frame_00:09.png': 4.597194671630859, 'frame_00:10.png': 4.448678493499756, 'frame_00:11.png': 4.987306118011475, 'frame_00:12.png': 5.18253755569458, 'frame_00:13.png': 5.158755779266357, 'frame_00:14.png': 5.052000045776367}
|
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>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Yellow'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.2
| 1.666667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 an ornate, brightly lit building where three figures scramble up the steps towards the entrance.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.710491180419922, 'frame_00:09.png': 4.529000759124756, 'frame_00:10.png': 4.609091758728027, 'frame_00:11.png': 4.608528137207031, 'frame_00:12.png': 4.558253765106201, 'frame_00:13.png': 4.346272945404053, 'frame_00:14.png': 4.540405750274658}
|
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'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.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_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Desaturated, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 1.266667
| 0.4
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 cutting through the gathering darkness.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.001326560974121, 'frame_00:09.png': 5.003329753875732, 'frame_00:10.png': 4.262764930725098, 'frame_00:11.png': 4.959968090057373, 'frame_00:12.png': 5.246198654174805, 'frame_00:13.png': 5.518825054168701, 'frame_00:14.png': 4.876928329467773}
|
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'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Desaturated, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Green, Blue, Purple'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Green, Blue, Purple'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Green, Blue'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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, 'person': 5, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 6}}, 3: {'raw_counts': {'person': 2, 'cell phone': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 6: {'raw_counts': {'person': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 7: {'raw_counts': {'person': 2, 'chair': 1, 'car': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 4}}, 8: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 9: {'raw_counts': {'person': 2, 'chair': 1, 'clock': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 13: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 14: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 two men inside a jeep, one with a beard listening intently on a walkie-talkie, maintaining a serious expression, and continues with close-up shots of a bearded man with glasses, his face etched with concern as he looks slightly upward, with dramatic lighting highlighting his profile. The final shots return to the tense atmosphere inside the building, showing men focused on their tasks, with one man standing prominently in the center, gripping a walkie-talkie tightly.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 5.47298002243042, 'frame_00:09.png': 5.514333248138428, 'frame_00:10.png': 5.504650115966797, 'frame_00:11.png': 5.459259986877441, 'frame_00:12.png': 5.501289367675781, 'frame_00:13.png': 5.4526214599609375, 'frame_00:14.png': 5.407015800476074, 'frame_00:15.png': 5.425818920135498, 'frame_00:16.png': 5.436398506164551, 'frame_00:17.png': 5.545633316040039, 'frame_00:18.png': 5.351433277130127, 'frame_00:19.png': 5.391627311706543, 'frame_00:20.png': 5.391345977783203, 'frame_00:21.png': 5.277251720428467}
|
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, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:15.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:16.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:17.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:18.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:19.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:20.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:21.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}]}
| 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: {'raw_counts': {'person': 1, 'train': 1, 'motorcycle': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'motorcycle': 1, 'train': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 4: {'raw_counts': {'motorcycle': 2, 'train': 1, 'person': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 4}}, 5: {'raw_counts': {'train': 1, 'person': 1, 'motorcycle': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 6: {'raw_counts': {'person': 2, 'train': 1, 'motorcycle': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 7: {'raw_counts': {'person': 3, 'train': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 8: {'raw_counts': {'person': 2, 'train': 1, 'motorcycle': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 9: {'raw_counts': {'person': 2, 'train': 1, 'motorcycle': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 10: {'raw_counts': {'person': 1, 'train': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 3, 'train': 1, 'motorcycle': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 5}}, 12: {'raw_counts': {'train': 1, 'person': 3, 'motorcycle': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 5}}, 13: {'raw_counts': {'person': 2, 'train': 1, 'motorcycle': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 14: {'raw_counts': {'person': 3, 'train': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 15: {'raw_counts': {'person': 3, 'train': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 16: {'raw_counts': {'person': 3, 'train': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 17: {'raw_counts': {'train': 1, 'person': 3, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 18: {'raw_counts': {'person': 4, 'train': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}, 19: {'raw_counts': {'person': 2, 'train': 1, 'motorcycle': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 20: {'raw_counts': {'person': 4, 'train': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}, 21: {'raw_counts': {'person': 2, 'train': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 complex systems and data. The composition of the scene, framed by the spaceship's architecture, emphasizes the confined space and the shared focus of the two individuals. In the backdrop, a window reveals a glimpse into another section of the spacecraft, where additional machinery and equipment are visible, further underscoring the technologically advanced setting. The image is rich with detail, capturing the intensity and concentration of the individuals as they navigate the complexities of space travel.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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
|
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|
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 light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Red, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Red, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated, Red, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated, Red, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Red, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center, Symmetrical'}]}
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| -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
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|
https://youtube.com/watch?v=HH37JTBpi2A
|
scene_001
| 1
| 339
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|
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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 geometric layout of the space. As the figure fully stands, the lighting shifts to reveal more of the space suit's details, particularly the green helmet and other design elements. The scene maintains a futuristic and somewhat sterile atmosphere.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.438429832458496, 'frame_00:09.png': 5.379103660583496, 'frame_00:10.png': 5.46347713470459, 'frame_00:11.png': 5.531270980834961, 'frame_00:12.png': 5.454333782196045, 'frame_00:13.png': 5.4298295974731445, 'frame_00:14.png': 5.393054485321045}
|
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'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Underlight, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}]}
| 1.4
| 0.133333
| 0.533333
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| 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
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|
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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 attached. The scene then transitions to a close-up of a person's face bathed in blue lighting, creating a dramatic and intense atmosphere.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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
|
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|
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>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Red, Orange, Yellow, Blue'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Red, Orange, Yellow, Blue'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}]}
| 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': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 3: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 4: {'raw_counts': {'toilet': 1, 'parking meter': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'parking meter': 1, 'toilet': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 6: {'raw_counts': {'parking meter': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 7: {'raw_counts': {'parking meter': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 8: {'raw_counts': {'person': 1, 'parking meter': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 3, 'parking meter': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 10: {'raw_counts': {'person': 1, 'laptop': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 11: {'raw_counts': {'parking meter': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'parking meter': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 13: {'raw_counts': {'person': 1, 'parking meter': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'parking meter': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 papers and holding up a drawing, which reveals the outline of a person with long hair. The light in the control room casts long shadows, adding to the atmosphere of the scene. The uniformed individual appears focused, handling the documents with care. The fisheye lens distorts the environment, emphasizing the small, contained space of the control room and highlighting the isolation of the figure.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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: 4.747065544128418}
|
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 heavy'}], 2: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 3: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 4: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 5: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 6: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 7: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 8: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 9: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 10: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 11: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 12: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 13: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 14: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 3, 'bowl': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 10: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 11: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 6, 'potted plant': 1, 'chair': 1, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 table, talking with a slight pout; in the background, another man is seen eating at a table, and there's a vintage jukebox behind the child. The camera zooms out to show the man and child talking at the diner table, with a bottle of soda on the table between them.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.938716888427734, 'frame_00:09.png': 5.281943321228027, 'frame_00:10.png': 5.069555282592773, 'frame_00:11.png': 5.046749591827393, 'frame_00:12.png': 4.940437316894531, 'frame_00:13.png': 5.203077793121338, 'frame_00:14.png': 5.1854963302612305}
|
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>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 3: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 4: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 5: {'raw_counts': {'person': 5, 'tie': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 6: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 7: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 8: {'raw_counts': {'person': 6, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 9: {'raw_counts': {'person': 5, 'tie': 1, 'backpack': 1, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 10: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 11: {'raw_counts': {'person': 6, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 12: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 13: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 14: {'raw_counts': {'person': 6, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 atmosphere. The scene unfolds with subtle shifts in focus, drawing attention to the interactions and tensions among the characters, creating a palpable sense of anticipation.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.291922569274902, 'frame_00:09.png': 4.069106578826904, 'frame_00:10.png': 3.958322525024414, 'frame_00:11.png': 5.159757614135742, 'frame_00:12.png': 5.168032646179199, 'frame_00:13.png': 4.853494167327881, 'frame_00:14.png': 3.8722681999206543}
|
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'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 6: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 7: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 14: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 cuts back to the man who is looking off into the distance, then a shot of a black jack table.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 5.804829120635986, 'frame_00:09.png': 5.685371398925781, 'frame_00:10.png': 5.144991874694824, 'frame_00:11.png': 5.012633323669434, 'frame_00:12.png': 5.221933364868164, 'frame_00:13.png': 5.2691650390625, 'frame_00:14.png': 5.357924461364746}
|
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>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.333333
| 1.733333
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 to the artificial illumination, as the man approaches, the lighting highlights the texture of his suit and the details of his tie, while the other two figures remain in the background, their expressions somewhat obscured by the shadows, which adds a sense of mystery to their presence.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.949460029602051, 'frame_00:09.png': 5.46662712097168, 'frame_00:10.png': 5.394846439361572, 'frame_00:11.png': 5.490467548370361, 'frame_00:12.png': 4.4021782875061035, 'frame_00:13.png': 5.089080810546875, 'frame_00:14.png': 4.84121036529541}
|
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'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'tie': 1, 'person': 3, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 4: {'raw_counts': {'person': 3, 'tie': 1, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 5: {'raw_counts': {'tie': 1, 'person': 5, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 9: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 6, 'wine glass': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 13: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 14: {'raw_counts': {'person': 6, 'wine glass': 1, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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. The scene shifts to a man in a suit sitting at a gambling table, where chips and cards are scattered. Several women are standing around the table, while the man touches his face with his 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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.898342132568359, 'frame_00:09.png': 5.134541034698486, 'frame_00:10.png': 5.090915203094482, 'frame_00:11.png': 5.045342445373535, 'frame_00:12.png': 5.101051330566406, 'frame_00:13.png': 4.252207279205322, 'frame_00:14.png': 5.368057727813721}
|
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>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 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, 'total': 7}}, 2: {'raw_counts': {'person': 6, 'train': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 7}}, 3: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 4: {'raw_counts': {'person': 6, 'train': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 7}}, 5: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 6: {'raw_counts': {'person': 7, 'train': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 8}}, 7: {'raw_counts': {'person': 10, 'train': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 11}}, 8: {'raw_counts': {'person': 8, 'train': 1, 'total': 9}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 9}}, 9: {'raw_counts': {'person': 7, 'train': 1, 'laptop': 1, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 9}}, 10: {'raw_counts': {'person': 5, 'train': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 6}}, 11: {'raw_counts': {'person': 5, 'train': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 6}}, 12: {'raw_counts': {'person': 5, 'train': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 6}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, creating an intimate and contemplative atmosphere. As the camera focuses, a close-up reveals a man with dark hair, his expression thoughtful. The overall composition emphasizes the solitude and muted emotions of the characters within the diner's setting.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.061751365661621, 'frame_00:09.png': 4.560617923736572, 'frame_00:10.png': 4.262884140014648, 'frame_00:11.png': 5.09056282043457, 'frame_00:12.png': 4.7395405769348145, 'frame_00:13.png': 4.80094575881958, 'frame_00:14.png': 4.981761455535889}
|
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'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.4
| 2.2
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 overhead lights. One man stands near the entrance, looking around.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.104043483734131, 'frame_00:09.png': 5.303966522216797, 'frame_00:10.png': 5.379457473754883, 'frame_00:11.png': 5.33833646774292, 'frame_00:12.png': 5.403277397155762, 'frame_00:13.png': 5.29031229019165, 'frame_00:14.png': 5.210980415344238}
|
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'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 to an older man with short hair, arms crossed, standing in front of a chalkboard covered in mathematical equations and data points. The lighting casts a blue hue over everything, creating a somber, almost clinical atmosphere. The first young man looks directly towards the older man. The scene alternates between the two characters several times.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 3.9934535026550293, 'frame_00:09.png': 4.015074253082275, 'frame_00:10.png': 3.6715774536132812, 'frame_00:11.png': 3.6556878089904785, 'frame_00:12.png': 4.040454387664795, 'frame_00:13.png': 4.343523979187012, 'frame_00:14.png': 4.320051193237305, 'frame_00:15.png': 4.58405876159668, 'frame_00:16.png': 4.725128173828125, 'frame_00:17.png': 4.440790176391602, 'frame_00:18.png': 4.679465293884277, 'frame_00:19.png': 4.442686557769775, 'frame_00:20.png': 4.627079963684082, 'frame_00:21.png': 4.6435227394104}
|
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'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:16.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, High contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:17.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue, White'}, {'<LIGHTING>': 'Hard light, High contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:18.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue, White'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:19.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:20.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:21.png': [{'<COLOR>': 'Cool, Green, Blue, White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 0.227273
| 0.045455
| 0.090909
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 colorful chips, arranged in neat piles. The camera pans over a green surface, followed by a series of playing cards being dealt or revealed. The cards include an eight of diamonds, a nine of clubs, a five of hearts, and finally, a close-up of an ace of spades and jack of spades. The final shot is a close-up of the ace and jack against a green, eye-like 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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.947755813598633, 'frame_00:09.png': 5.151142120361328, 'frame_00:10.png': 5.177303314208984, 'frame_00:11.png': 5.035642623901367, 'frame_00:12.png': 5.000855445861816, 'frame_00:13.png': 4.832303047180176, 'frame_00:14.png': 5.020696640014648}
|
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 light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 6, 'cup': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 6: {'raw_counts': {'person': 4, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 7: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 8: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 9: {'raw_counts': {'person': 4, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 10: {'raw_counts': {'person': 4, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 11: {'raw_counts': {'person': 4, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 12: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 13: {'raw_counts': {'person': 5, 'clock': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 14: {'raw_counts': {'person': 4, 'clock': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 animation as she expresses herself. The man listens intently, his gaze steady and subtly mirroring her emotions, a soft candle illuminates the bar's polished surface adding depth to the scene's intimate mood. As the conversation unfolds, their expressions shift, reflecting the ebb and flow of their dialogue with sincerity.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.014833450317383, 'frame_00:09.png': 5.21649169921875, 'frame_00:10.png': 4.712967395782471, 'frame_00:11.png': 4.982100009918213, 'frame_00:12.png': 4.862070560455322, 'frame_00:13.png': 5.033752918243408, 'frame_00:14.png': 5.207043170928955}
|
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, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 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}, 'bucketed_counts': {'humans': 15, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 14, 'total': 29}}, 2: {'raw_counts': {'cup': 3, 'person': 6, 'tie': 2, 'potted plant': 1, 'chair': 2, 'dining table': 1, 'wine glass': 2, 'total': 17}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 11, 'total': 17}}, 3: {'raw_counts': {'person': 7, 'tie': 2, 'cup': 3, 'chair': 1, 'potted plant': 1, 'dining table': 1, 'total': 15}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 8, 'total': 15}}, 4: {'raw_counts': {'person': 7, 'chair': 1, 'tie': 2, 'cup': 3, 'potted plant': 1, 'dining table': 1, 'wine glass': 2, 'total': 17}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 10, 'total': 17}}, 5: {'raw_counts': {'person': 5, 'tv': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 6: {'raw_counts': {'person': 4, 'tv': 1, 'cup': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 7: {'raw_counts': {'person': 4, 'tv': 1, 'cup': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 8: {'raw_counts': {'person': 17, 'cup': 3, 'dining table': 2, 'chair': 2, 'tie': 1, 'potted plant': 2, 'total': 27}, 'bucketed_counts': {'humans': 17, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 10, 'total': 27}}, 9: {'raw_counts': {'person': 17, 'cup': 3, 'chair': 3, 'dining table': 2, 'tie': 1, 'potted plant': 1, 'wine glass': 1, 'total': 28}, 'bucketed_counts': {'humans': 17, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 11, 'total': 28}}, 10: {'raw_counts': {'person': 3, 'chair': 1, 'cup': 2, 'dining table': 1, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 7}}, 11: {'raw_counts': {'person': 4, 'tie': 1, 'cup': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 12: {'raw_counts': {'person': 5, 'tie': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 are scattered around the room, some in conversation and others looking towards the front. As the scene progresses, the camera focuses on a group of guests who are smiling and listening attentively. Subsequently, a woman in a dark dress stands near a projection screen, addressing the crowd with a microphone in hand. Finally, the camera captures close-up shots of various guests, revealing their expressions of amusement and engagement as the speaker continues her presentation.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.035250186920166, 'frame_00:09.png': 5.097382545471191, 'frame_00:10.png': 4.681787490844727, 'frame_00:11.png': 5.1687421798706055, 'frame_00:12.png': 5.440180778503418, 'frame_00:13.png': 5.261229515075684, 'frame_00:14.png': 5.139495849609375}
|
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 light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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_counts': {'person': 4, 'car': 1, 'bus': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 6}}, 3: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 4: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 8: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 9: {'raw_counts': {'person': 4, 'car': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}, 10: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 11: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 12: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 13: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 emphatically, her eyes conveying a mix of frustration and sadness, while the man responds with open hands, his expression suggesting empathy and a desire to reconcile. The camera focuses on their interaction, capturing the depth of their emotional exchange against the backdrop of the urban night. As their dialogue continues, their body language shifts subtly, indicating a complex interplay of feelings and intentions 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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 5.157820701599121, 'frame_00:09.png': 4.558619976043701, 'frame_00:10.png': 4.326641082763672, 'frame_00:11.png': 4.313300132751465, 'frame_00:12.png': 5.087258815765381, 'frame_00:13.png': 5.123559474945068, 'frame_00:14.png': 4.921152591705322}
|
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'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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, 'total': 11}}, 2: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 3: {'raw_counts': {'person': 7, 'tie': 2, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 9}}, 4: {'raw_counts': {'person': 9, 'tie': 2, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 11}}, 5: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 6: {'raw_counts': {'person': 12, 'tie': 1, 'total': 13}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 13}}, 7: {'raw_counts': {'person': 14, 'tie': 2, 'handbag': 1, 'total': 17}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 17}}, 8: {'raw_counts': {'person': 13, 'total': 13}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 13}}, 9: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 10: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 11: {'raw_counts': {'person': 6, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 12: {'raw_counts': {'person': 6, 'tie': 2, 'bottle': 1, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 13: {'raw_counts': {'person': 6, 'tie': 2, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 14: {'raw_counts': {'person': 8, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 9}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 standing beside her and smiling. The band members are visible behind them, with the drummer seated directly behind the singer. The stage is festooned with lights and floral arrangements, adding a festive yet somewhat surreal touch to the wedding scene. As the scene progresses, the camera focuses on the performers and the happy couple, capturing the joyous atmosphere of the celebration. A man in the crowd smiles and waves to the wedding party on the stage, with dramatic lighting creating a dreamlike, cinematic quality.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.036664962768555, 'frame_00:09.png': 4.988797187805176, 'frame_00:10.png': 5.020724296569824, 'frame_00:11.png': 5.087486267089844, 'frame_00:12.png': 4.882762908935547, 'frame_00:13.png': 4.912652492523193, 'frame_00:14.png': 4.911653995513916}
|
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'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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': {'person': 1, 'potted plant': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 1, 'couch': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, looking off to the side and talking. A blue pitbull is standing and facing towards the left, looking down, wearing a studded collar.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.8263726234436035, 'frame_00:09.png': 4.793735504150391, 'frame_00:10.png': 4.7748026847839355, 'frame_00:11.png': 4.307334899902344, 'frame_00:12.png': 4.437583923339844, 'frame_00:13.png': 4.654312610626221, 'frame_00:14.png': 4.656665325164795}
|
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.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}]}
| 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, 'total': 4}}, 2: {'raw_counts': {'person': 2, 'oven': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 2, 'oven': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 12: {'raw_counts': {'person': 1, 'oven': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'cup': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'cell phone': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 a large painting on the wall behind him depicting a blue female torso. A blue-skinned woman with glasses and a blue-skinned man appear. They are both looking towards the camera and talking. The man holds a glass of liquid, and there is a statue of a blue head nearby. The scene cuts back to the blue-skinned man in the kitchen, who is staring angrily into the pot while stirring it. The scene switches back to the blue-skinned woman and the blue-skinned man, who are still talking.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 3.8797483444213867, 'frame_00:09.png': 4.016779899597168, 'frame_00:10.png': 4.433718204498291, 'frame_00:11.png': 4.4908342361450195, 'frame_00:12.png': 3.707146644592285, 'frame_00:13.png': 4.635359764099121, 'frame_00:14.png': 4.942328453063965}
|
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>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.866667
| 1.733333
| 0.066667
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, creating a moody atmosphere. Close-ups show him glancing around, his expression changing. The shot lingers on the car's air conditioning controls, before returning to the man, who continues to drive and sing. The light changes from warm to cold, creating a dramatic effect.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.864065647125244, 'frame_00:09.png': 4.565152645111084, 'frame_00:10.png': 4.290421009063721, 'frame_00:11.png': 4.559748649597168, 'frame_00:12.png': 4.507076263427734, 'frame_00:13.png': 4.483248710632324, 'frame_00:14.png': 4.380523204803467, 'frame_00:15.png': 4.326054573059082, 'frame_00:16.png': 4.590603828430176, 'frame_00:17.png': 4.771559238433838, 'frame_00:18.png': 4.811439514160156, 'frame_00:19.png': 4.381541728973389, 'frame_00:20.png': 4.120314121246338, 'frame_00:21.png': 4.133542060852051}
|
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>': 'Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:15.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:16.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:17.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:18.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:19.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:20.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:21.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.681818
| 0.318182
| 0.045455
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.349987506866455, 'frame_00:09.png': 5.402477741241455, 'frame_00:10.png': 5.553112030029297, 'frame_00:11.png': 5.011652946472168, 'frame_00:12.png': 5.193301200866699, 'frame_00:13.png': 5.214334011077881, 'frame_00:14.png': 5.078235149383545}
|
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_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 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_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 4: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 shore, his face conveying a look of serious intent as he speaks, his dark hair and beard contrasting against the blue-tinged backdrop of the sea and sky. The figure on the platform is seen in another detailed close-up, revealing elaborate jewelry adorning their neck, arms, and waist, with an intricate headdress completing their regal appearance. The man on the shore continues to speak, his expression alternating between determination and a hint of concern, as he gestures emphatically with his finger.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.008519649505615, 'frame_00:09.png': 4.6611528396606445, 'frame_00:10.png': 4.739340782165527, 'frame_00:11.png': 4.858748912811279, 'frame_00:12.png': 4.866975784301758, 'frame_00:13.png': 5.0031538009643555, 'frame_00:14.png': 4.810492992401123}
|
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_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 2.8
| 2.333333
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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. Subsequently, the warrior stands before a tribunal of robed men, his gaze intense and his face bearing the marks of battle; other warriors flank the gathering, set against an austere architectural backdrop. The scene progresses with the camera focusing on the warrior’s face, highlighting the emotional depth and determination etched into his features.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.642786026000977, 'frame_00:09.png': 5.27572774887085, 'frame_00:10.png': 5.168180465698242, 'frame_00:11.png': 5.1595563888549805, 'frame_00:12.png': 4.991814136505127, 'frame_00:13.png': 4.986736297607422, 'frame_00:14.png': 5.010585784912109}
|
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'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 3: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 8: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 11: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 12: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 13: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 14: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 discussion with someone off-screen. The composition shifts to show several people standing behind him, maintaining a serious demeanor. The scene returns to the character in the field, who now lifts his gaze directly into the camera, his eyes conveying a piercing intensity. Transitioning back to the crowded area, the characters continue their intense conversation, emphasizing the gravity of the situation.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 amplifies the gravity of the moment.
|
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': 4.924546241760254, 'frame_00:09.png': 5.210872650146484, 'frame_00:10.png': 5.122092247009277, 'frame_00:11.png': 5.00654935836792, 'frame_00:12.png': 5.32049560546875, 'frame_00:13.png': 5.227185249328613, 'frame_00:14.png': 5.221194267272949}
|
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>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated, White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 4: {'raw_counts': {'person': 4, 'snowboard': 2, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 1, 'snowboard': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'motorcycle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 armor and purple capes. The scene is captured with dramatic lighting, highlighting the intensity of their expressions and the looming battle ahead. A vast enemy army appears in the distance.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.854453086853027, 'frame_00:09.png': 5.164557456970215, 'frame_00:10.png': 5.318300724029541, 'frame_00:11.png': 5.261244297027588, 'frame_00:12.png': 5.470056056976318, 'frame_00:13.png': 5.373818397521973, 'frame_00:14.png': 5.413702011108398}
|
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 light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 7: {'raw_counts': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 9, 'motorcycle': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 10}}, 10: {'raw_counts': {'person': 14, 'total': 14}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 14}}, 11: {'raw_counts': {'person': 10, 'baseball bat': 3, 'motorcycle': 1, 'total': 14}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 3, 'total': 14}}, 12: {'raw_counts': {'boat': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'boat': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'boat': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 fleet of warships under a cloudy sky with sun rays piercing through; the scene transitions to a group of bare-chested warriors on a ship, their faces resolute, before showing the imposing scale of the armada sailing on the turbulent waters.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.348393440246582, 'frame_00:09.png': 5.173551559448242, 'frame_00:10.png': 5.308481693267822, 'frame_00:11.png': 4.979086399078369, 'frame_00:12.png': 4.278522968292236, 'frame_00:13.png': 4.87965726852417, 'frame_00:14.png': 4.68961238861084}
|
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'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.133333
| 1.666667
| 0.133333
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 the woman, her expression hardening as she strides forward, the backdrop filled with smoke and the aftermath of a battle. The man yells in anger, his expression tense, followed by a rapid sequence of combat. The woman and the man fight amidst the fallen, their movements swift and desperate.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.574890613555908, 'frame_00:09.png': 5.528704643249512, 'frame_00:10.png': 5.566679000854492, 'frame_00:11.png': 5.600104331970215, 'frame_00:12.png': 5.664808750152588, 'frame_00:13.png': 5.50991153717041, 'frame_00:14.png': 5.381915092468262}
|
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>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 smile playing on her lips as she meets the man's gaze. The background is blurred, suggesting a room with dark, textured walls. The lighting accentuates the contours of their faces, adding depth to the scene and highlighting their unique complexions. As the scene progresses, the woman's subtle smile grows into a full, confident grin, emphasizing her eyes. The man's expression remains steady, a mix of sincerity and anticipation as he listens.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.998608589172363, 'frame_00:09.png': 5.009045600891113, 'frame_00:10.png': 4.971131324768066, 'frame_00:11.png': 5.288733959197998, 'frame_00:12.png': 5.278877258300781, 'frame_00:13.png': 5.038965225219727, 'frame_00:14.png': 5.051061630249023}
|
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'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2
| 1.133333
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 window with closed blinds provides a stark backdrop, while a lamp and shadowy objects on a table add depth to the setting. The camera then cuts to a figure standing outside a house at night. The figure is brandishing a handgun and glaring intensely towards the camera. The camera cuts back to the figures in the house. The composition of the scene, the lighting, and the postures of the figures all contribute to a sense of unease.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 5.023020267486572, 'frame_00:09.png': 4.783909320831299, 'frame_00:10.png': 4.6696929931640625, 'frame_00:11.png': 5.023736953735352, 'frame_00:12.png': 4.968608379364014, 'frame_00:13.png': 5.110113143920898, 'frame_00:14.png': 4.861804008483887}
|
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': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}]}
| 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 1, 'umbrella': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'cat': 1, 'bird': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 the man, spreading his arms wide as if confused. The camera cuts back and forth between the two men, both of whom appear to have had their skin painted blue. The hallway is dimly lit, with rows of lockers lining the walls. A poster with "The Declaration of Independence" hangs in 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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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_00:08.png': 4.892765998840332, 'frame_00:09.png': 4.85484504699707, 'frame_00:10.png': 5.273253440856934, 'frame_00:11.png': 4.8993964195251465, 'frame_00:12.png': 4.776494979858398, 'frame_00:13.png': 4.837479591369629, 'frame_00:14.png': 4.997287273406982}
|
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 contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Magenta, Pink'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Magenta, Pink'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Green, Magenta'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Saturated, Blue, Magenta'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Blue, Magenta'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue, Magenta'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue, Magenta'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 3: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 4: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 1, 'potted plant': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'potted plant': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 2, 'refrigerator': 1, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 14: {'raw_counts': {'person': 3, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 broadly to underscore his claims. The scene transitions as he opens a door to reveal a man in a lab coat and a woman in a bikini, bathed in intense yellow light from what looks like a special tanning booth. They stand in the yellow glow, the man glances from the two of them in surprise.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.141375541687012, 'frame_00:09.png': 4.2592058181762695, 'frame_00:10.png': 4.469505786895752, 'frame_00:11.png': 4.522440433502197, 'frame_00:12.png': 4.5407233238220215, 'frame_00:13.png': 4.837660789489746, 'frame_00:14.png': 4.898006439208984}
|
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'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 1.466667
| 1
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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. The man, now also blue, exits the building onto a rooftop. He is still talking on the phone. The woman appears on the rooftop, coming out of a dark doorway.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.288792133331299, 'frame_00:09.png': 4.447277069091797, 'frame_00:10.png': 4.5278239250183105, 'frame_00:11.png': 4.697179317474365, 'frame_00:12.png': 4.446592330932617, 'frame_00:13.png': 5.133142948150635, 'frame_00:14.png': 5.121037006378174}
|
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'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': 3, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 3: {'raw_counts': {'person': 3, 'chair': 3, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 6}}, 4: {'raw_counts': {'person': 2, 'dog': 2, 'backpack': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 5: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 6: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 7: {'raw_counts': {'person': 4, 'tv': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 1, 'tv': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 10: {'raw_counts': {'person': 3, 'book': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 11: {'raw_counts': {'person': 3, 'laptop': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 12: {'raw_counts': {'person': 5, 'tie': 1, 'sink': 1, 'cup': 1, 'tv': 1, 'total': 9}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 9}}, 13: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'tv': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, surrendering to the intruders' demands. The scene unfolds with a sense of urgency, the stark blue lighting casting long shadows that accentuate the tense environment. The camera focuses on the reactions of those caught in the situation, capturing their vulnerability and the stark reality of the unfolding drama. As the gunmen move through the bank, the hostages cower in fear, their expressions conveying a mix of shock and desperation.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.017116546630859, 'frame_00:09.png': 5.0587477684021, 'frame_00:10.png': 4.986307144165039, 'frame_00:11.png': 4.951334476470947, 'frame_00:12.png': 4.784821510314941, 'frame_00:13.png': 4.910946846008301, 'frame_00:14.png': 4.652387619018555}
|
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, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 12: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 concern etched upon their face. To their left, the third occupant stares ahead, their expression mirroring the same unease. As the scene unfolds, raindrops begin to cascade down the windshield, blurring the outside world. The driver's attention shifts to the passenger, an intimate moment as they lean in for a kiss. The mood is heavy, with palpable tension filling the small space, further emphasized by the contrasting expressions of apprehension and intimacy.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.9376115798950195, 'frame_00:09.png': 5.432888984680176, 'frame_00:10.png': 5.046802997589111, 'frame_00:11.png': 5.220183849334717, 'frame_00:12.png': 5.18845272064209, 'frame_00:13.png': 5.7393646240234375, 'frame_00:14.png': 5.791282653808594}
|
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, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy, Short side'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.733333
| 2.666667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 long shadows, accentuating the grim expressions on their faces. As they approach a particular building, one man pauses to examine the writing on the door, before continuing forward. The group continues its journey down the abandoned path.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.771487712860107, 'frame_00:09.png': 4.593159198760986, 'frame_00:10.png': 4.662870407104492, 'frame_00:11.png': 4.613420486450195, 'frame_00:12.png': 5.140623569488525, 'frame_00:13.png': 4.590789318084717, 'frame_00:14.png': 4.645452976226807}
|
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'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.533333
| 1.066667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 tan shirt. The woman reappears in the scene, as the cigarette is now in her mouth. She smiles calmly as she talks, then looks down. The young man reappears in the scene, smiling as he speaks. He touches his ear and looks 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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.124776840209961, 'frame_00:09.png': 4.710680961608887, 'frame_00:10.png': 4.46590518951416, 'frame_00:11.png': 4.447751998901367, 'frame_00:12.png': 4.756515979766846, 'frame_00:13.png': 4.58103609085083, 'frame_00:14.png': 4.087332248687744}
|
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>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Green, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Saturated, Blue, Purple'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Blue, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}]}
| 3.6
| 3.066667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 the focus shifts back to the energetic crowd. The scene is filled with movement as people dance and converse under the dynamic lighting, creating a lively, festive atmosphere.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.198267936706543, 'frame_00:09.png': 4.21605110168457, 'frame_00:10.png': 4.817569255828857, 'frame_00:11.png': 4.738894939422607, 'frame_00:12.png': 4.630037784576416, 'frame_00:13.png': 4.111773490905762, 'frame_00:14.png': 4.866549015045166}
|
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'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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': 7, 'horse': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 3: {'raw_counts': {'person': 5, 'tie': 1, 'bird': 1, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 4: {'raw_counts': {'person': 12, 'tie': 1, 'total': 13}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 13}}, 5: {'raw_counts': {'person': 8, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 9}}, 6: {'raw_counts': {'person': 9, 'total': 9}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 7: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 8: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 9: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 10: {'raw_counts': {'person': 13, 'total': 13}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 13}}, 11: {'raw_counts': {'person': 11, 'cup': 1, 'total': 12}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 12}}, 12: {'raw_counts': {'person': 15, 'total': 15}, 'bucketed_counts': {'humans': 15, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 15}}, 13: {'raw_counts': {'person': 15, 'total': 15}, 'bucketed_counts': {'humans': 15, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 15}}, 14: {'raw_counts': {'person': 6, 'dog': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, creating a sense of being immersed in a large gathering. At the front, a man in a distinctive gold jacket addresses the crowd, his gesture suggesting he is engaging or directing them. The light in the scene gives everyone a blue skin tone. The atmosphere seems energetic, as some people are raising their hands, seemingly in response to the man in the gold jacket. The arrangement of the crowd, with some individuals closer to the camera and others fading into the background, adds depth to the composition.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.409815788269043, 'frame_00:09.png': 4.536782741546631, 'frame_00:10.png': 4.862240314483643, 'frame_00:11.png': 4.953036785125732, 'frame_00:12.png': 4.960656642913818, 'frame_00:13.png': 5.026830673217773, 'frame_00:14.png': 4.101726055145264}
|
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'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}]}
| 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, 'total': 3}}, 2: {'raw_counts': {'person': 2, 'handbag': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'handbag': 1, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 4: {'raw_counts': {'person': 3, 'handbag': 1, 'bottle': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 5: {'raw_counts': {'person': 2, 'handbag': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 6: {'raw_counts': {'person': 2, 'handbag': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 7: {'raw_counts': {'person': 2, 'handbag': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 6, 'chair': 1, 'bottle': 1, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 9: {'raw_counts': {'person': 6, 'chair': 2, 'bottle': 1, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 10: {'raw_counts': {'person': 6, 'chair': 1, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 11: {'raw_counts': {'person': 6, 'chair': 1, 'bottle': 1, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 12: {'raw_counts': {'person': 6, 'chair': 1, 'tie': 1, 'bottle': 1, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 13: {'raw_counts': {'person': 6, 'tie': 1, 'chair': 2, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 14: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, as he gestures with his hands as if addressing the group; the room itself is sparsely furnished, featuring a sink, some stacked trays, and simple chairs, with the lighting casting long shadows that accentuate the eerie atmosphere; the scene is set against a backdrop of institutional-looking containers, which adds to the feeling of being in a confined, controlled environment.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.240349292755127, 'frame_00:09.png': 4.160464286804199, 'frame_00:10.png': 4.384598255157471, 'frame_00:11.png': 4.507958889007568, 'frame_00:12.png': 4.49226188659668, 'frame_00:13.png': 4.53800630569458, 'frame_00:14.png': 4.513839244842529}
|
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>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'person': 3, 'dog': 1, 'tv': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 4: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 5: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 room is cluttered with office paraphernalia, including a bulletin board with papers and photographs, as well as framed records on the wall. The scene then transitions to a hallway, where two men stand face to face, engaging in a more private conversation, with one man wearing a jacket and the other in a hoodie. The lighting is subdued, casting shadows and emphasizing the intimate nature of their exchange.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.969841480255127, 'frame_00:09.png': 5.27362060546875, 'frame_00:10.png': 5.060556888580322, 'frame_00:11.png': 4.917222499847412, 'frame_00:12.png': 4.918704509735107, 'frame_00:13.png': 4.856480121612549, 'frame_00:14.png': 4.536849021911621}
|
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'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': {'person': 3, 'car': 3, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 6}}, 3: {'raw_counts': {'person': 2, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 4: {'raw_counts': {'wine glass': 6, 'person': 7, 'dining table': 1, 'tie': 1, 'total': 15}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 8, 'total': 15}}, 5: {'raw_counts': {'wine glass': 8, 'dining table': 1, 'person': 6, 'cup': 1, 'total': 16}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 10, 'total': 16}}, 6: {'raw_counts': {'wine glass': 9, 'person': 8, 'dining table': 1, 'tie': 1, 'cup': 1, 'total': 20}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 12, 'total': 20}}, 7: {'raw_counts': {'tie': 1, 'person': 1, 'sports ball': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 8: {'raw_counts': {'tie': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'tie': 1, 'sports ball': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 10: {'raw_counts': {'tie': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 11: {'raw_counts': {'tie': 1, 'person': 2, 'cup': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 12: {'raw_counts': {'tie': 1, 'person': 2, 'cup': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 13: {'raw_counts': {'person': 2, 'tie': 2, 'cup': 1, 'cell phone': 1, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 14: {'raw_counts': {'person': 2, 'tie': 1, 'cup': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 show a long dining table surrounded by similarly hued people, suggesting a formal dinner setting. The table is set with elaborate dishes and blue beverages, illuminated by blue candles. The camera zooms in on a man in a suit at the table, as he appears to be speaking. Another frame features a woman with long dark hair and a feathery dress, also blue, smoking a cigarette next to a younger man in a suit.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.4067182540893555, 'frame_00:09.png': 4.7856340408325195, 'frame_00:10.png': 4.795562267303467, 'frame_00:11.png': 5.031034469604492, 'frame_00:12.png': 4.662342071533203, 'frame_00:13.png': 4.851841449737549, 'frame_00:14.png': 5.014601707458496}
|
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': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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': 12}}, 2: {'raw_counts': {'person': 12, 'suitcase': 1, 'total': 13}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 13}}, 3: {'raw_counts': {'person': 9, 'cow': 1, 'suitcase': 1, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 3, 'chair': 1, 'refrigerator': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 8: {'raw_counts': {'person': 2, 'chair': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 9: {'raw_counts': {'person': 4, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 12: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 13: {'raw_counts': {'person': 7, 'chair': 2, 'refrigerator': 1, 'total': 10}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 10}}, 14: {'raw_counts': {'person': 3, 'tv': 1, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 are large windows on one side of the room. The walls are white, and there are mirrors on the other side of the room. One of the dancers stands out, demonstrating and instructing the other dancers. The instructing dancer's hair is pulled up in a high ponytail, secured with a blue scrunchie. The room contains a few other individuals setting up equipment in the background, as well as the lockers.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.688926696777344, 'frame_00:09.png': 4.584550857543945, 'frame_00:10.png': 4.2964701652526855, 'frame_00:11.png': 4.028944969177246, 'frame_00:12.png': 4.336180210113525, 'frame_00:13.png': 4.6294941902160645, 'frame_00:14.png': 4.565608501434326}
|
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'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 1.266667
| 1.066667
| 0.133333
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 is serious as she looks straight ahead, standing in what appears to be a kitchen or utility area with cleaning supplies and shelves visible. Both characters are shown with a pronounced blue color grading.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.172422409057617, 'frame_00:09.png': 4.327943325042725, 'frame_00:10.png': 3.7269845008850098, 'frame_00:11.png': 4.400659561157227, 'frame_00:12.png': 4.340131759643555, 'frame_00:13.png': 4.383047103881836, 'frame_00:14.png': 4.739928245544434}
|
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>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Mixed light'}, {'<COMPOSITION>': 'Center'}]}
| 2.133333
| 2.066667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 woman with short dark hair and striking blue skin, her gaze meeting someone off-screen to the left. She wears a gold headband, large hoop earrings, and blue lipstick, her expression serious. The dim, red-tinged lighting adds to the club-like atmosphere. The camera pans out to reveal a crowded space filled with various individuals, capturing a brief glimpse of a few patrons sitting at a table, engaged in conversation, with dramatic lighting highlighting their features and clothing.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.510800838470459, 'frame_00:09.png': 4.433350563049316, 'frame_00:10.png': 4.217881679534912, 'frame_00:11.png': 4.500389099121094, 'frame_00:12.png': 4.603892803192139, 'frame_00:13.png': 4.140066623687744, 'frame_00:14.png': 4.0577521324157715}
|
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'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Center'}]}
| 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}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 4: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 5: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 6: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 11: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 12: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 13: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 14: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}}
| -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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 roots encroach upon the scene. The camera focuses on a set of large, imposing teeth, hinting at a transformation or a descent into something primal. The imagery evokes a sense of metamorphosis or entrapment, where technology and nature intertwine in a dark, surreal dance.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.422883033752441, 'frame_00:09.png': 5.401779651641846, 'frame_00:10.png': 5.187175750732422, 'frame_00:11.png': 5.316606521606445, 'frame_00:12.png': 5.26265287399292, 'frame_00:13.png': 5.381874084472656, 'frame_00:14.png': 5.040543079376221}
|
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 light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Saturated, Blue, Magenta'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 5.8
| 5.4
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 area, where the same individual engages in conversation with a person in a blue jacket adorned with star patterns. The scene captures various blue-skinned attendees and displays football helmets in the background, maintaining the surreal, blue-toned aesthetic throughout.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.714426517486572, 'frame_00:09.png': 4.816531181335449, 'frame_00:10.png': 4.2679033279418945, 'frame_00:11.png': 4.525868892669678, 'frame_00:12.png': 5.067416191101074, 'frame_00:13.png': 4.756415367126465, 'frame_00:14.png': 5.428031921386719}
|
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>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Magenta'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Magenta'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 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': {'person': 5, 'tv': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 3: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 4: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 5: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 6: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 3, 'cell phone': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 13: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 expression shifting from concern to surprise, and embraces the man, both of them bathed in the same blue light; finally, the woman steps back into the hallway, her face reflecting a mix of emotions as she looks towards the party.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 4.626177787780762, 'frame_00:09.png': 4.542490005493164, 'frame_00:10.png': 5.315150737762451, 'frame_00:11.png': 5.432007789611816, 'frame_00:12.png': 5.1052656173706055, 'frame_00:13.png': 5.261127471923828, 'frame_00:14.png': 4.457544803619385}
|
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'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft 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': 1, 'book': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 2, 'clock': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'chair': 4, 'traffic light': 1, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}, 9: {'raw_counts': {'person': 2, 'chair': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 10: {'raw_counts': {'chair': 1, 'person': 4, 'clock': 1, 'vase': 1, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 11: {'raw_counts': {'person': 4, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 12: {'raw_counts': {'person': 5, 'chair': 1, 'couch': 1, 'clock': 1, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 13: {'raw_counts': {'chair': 1, 'person': 4, 'vase': 1, 'couch': 1, 'clock': 1, 'total': 8}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 8}}, 14: {'raw_counts': {'tv': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 women stand around her, one with her hands on the elderly woman's shoulders in a comforting gesture. One of the women walks away. The camera pulls back to reveal a dining area set with flowers and decorations, with the women moving about. The scene cuts to an old television displaying a football game with a player in a helmet.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 5.612034797668457, 'frame_00:09.png': 5.005915641784668, 'frame_00:10.png': 5.671030044555664, 'frame_00:11.png': 5.5503387451171875, 'frame_00:12.png': 5.144664764404297, 'frame_00:13.png': 5.509792327880859, 'frame_00:14.png': 5.474100112915039}
|
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, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 5.466667
| 5.266667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 varying in clarity due to the depth of field. As the scene progresses, the focus shifts towards two elderly women engaged in a discussion, their faces etched with expressions of concern. The camera then zooms in on another woman, standing nearby, her expression reflecting a mix of sorrow and contemplation, she is holding a glass with an unknown liquid, her presence further adding to the complex emotions conveyed in the scene.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.9789347648620605, 'frame_00:09.png': 5.109813690185547, 'frame_00:10.png': 5.053922176361084, 'frame_00:11.png': 5.109774589538574, 'frame_00:12.png': 5.18488883972168, 'frame_00:13.png': 5.138879299163818, 'frame_00:14.png': 5.217931270599365, 'frame_00:15.png': 4.641141414642334, 'frame_00:16.png': 5.188716888427734, 'frame_00:17.png': 5.282173156738281, 'frame_00:18.png': 5.239164352416992, 'frame_00:19.png': 5.355860233306885, 'frame_00:20.png': 5.309032440185547, 'frame_00:21.png': 5.306516170501709}
|
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'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:15.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:16.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:17.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:18.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:19.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:20.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:21.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}]}
| 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: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 3: {'raw_counts': {'person': 12, 'cell phone': 1, 'handbag': 2, 'total': 15}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 15}}, 4: {'raw_counts': {'person': 10, 'total': 10}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 5: {'raw_counts': {'person': 12, 'cell phone': 1, 'total': 13}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 13}}, 6: {'raw_counts': {'person': 12, 'total': 12}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 12}}, 7: {'raw_counts': {'person': 10, 'handbag': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 8: {'raw_counts': {'person': 9, 'cell phone': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 9: {'raw_counts': {'person': 8, 'cell phone': 1, 'backpack': 1, 'total': 10}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 10}}, 10: {'raw_counts': {'person': 13, 'total': 13}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 13}}, 11: {'raw_counts': {'person': 11, 'total': 11}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 11}}, 12: {'raw_counts': {'person': 12, 'total': 12}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 12}}, 13: {'raw_counts': {'person': 10, 'total': 10}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 14: {'raw_counts': {'person': 11, 'total': 11}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 11}}, 15: {'raw_counts': {'person': 10, 'total': 10}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 16: {'raw_counts': {'person': 11, 'cell phone': 1, 'total': 12}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 12}}, 17: {'raw_counts': {'person': 10, 'total': 10}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 18: {'raw_counts': {'person': 9, 'total': 9}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 19: {'raw_counts': {'person': 14, 'horse': 1, 'total': 15}, 'bucketed_counts': {'humans': 14, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 15}}, 20: {'raw_counts': {'person': 12, 'handbag': 1, 'total': 13}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 13}}, 21: {'raw_counts': {'person': 11, 'parking meter': 1, 'total': 12}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 12}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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. In the background, a banner displays imagery related to the Super Bowl, indicating the event taking place.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.225002765655518, 'frame_00:09.png': 4.995870590209961, 'frame_00:10.png': 5.082626819610596, 'frame_00:11.png': 5.254373550415039, 'frame_00:12.png': 5.40431547164917, 'frame_00:13.png': 5.070822238922119, 'frame_00:14.png': 4.924342155456543}
|
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>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Green, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Green, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': 2}}, 2: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 5: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 9: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 4, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 14: {'raw_counts': {'person': 5, 'cup': 1, 'chair': 1, 'motorcycle': 1, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 2, 'total': 8}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 expression, while another woman with golden eyes speaks to a man in a baseball cap, both wearing headsets. Close-up shots reveal more details: a bearded man studies papers with a woman, and a woman with a patterned headband touches her ear as she speaks into her headset. A separate shot shows football players on a bench, also with blue skin, watching a tablet displaying the game, all bathed in a cool, artificial light.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 5.055017471313477, 'frame_00:09.png': 5.21116304397583, 'frame_00:10.png': 5.329041481018066, 'frame_00:11.png': 5.3829216957092285, 'frame_00:12.png': 5.442087173461914, 'frame_00:13.png': 5.614988803863525, 'frame_00:14.png': 5.37801456451416}
|
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>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Saturated, Magenta'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Saturated, Magenta'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 3: {'raw_counts': {'person': 4, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 4: {'raw_counts': {'person': 5, 'cup': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 5: {'raw_counts': {'person': 4, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 6: {'raw_counts': {'person': 6, 'cup': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 7: {'raw_counts': {'person': 5, 'cup': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 8: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 9: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 10: {'raw_counts': {'person': 4, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 11: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 12: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 13: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 14: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 speaks further. The scene then shifts to a close-up of the woman, still bathed in blue light, with a headband in her hair, as she smiles and engages in conversation with another blue-lit 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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.27508020401001, 'frame_00:09.png': 5.154604911804199, 'frame_00:10.png': 5.342827320098877, 'frame_00:11.png': 5.070852279663086, 'frame_00:12.png': 4.8357720375061035, 'frame_00:13.png': 5.120943069458008, 'frame_00:14.png': 4.624239921569824}
|
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>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 3, 'cup': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 7: {'raw_counts': {'person': 2, 'bottle': 1, 'cup': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 8: {'raw_counts': {'person': 9, 'car': 2, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 11}}, 9: {'raw_counts': {'person': 10, 'cup': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 10: {'raw_counts': {'person': 11, 'total': 11}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 11}}, 11: {'raw_counts': {'person': 9, 'total': 9}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'clock': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'bottle': 1, 'truck': 1, 'laptop': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 2, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 wearing sports jerseys, suggesting a gathering or tailgate event. A woman in a jersey stands prominently in the foreground, looking off to the side with a thoughtful expression. The scene transitions back to the studio setting, focusing on the exterior of a trailer with the same "Pats Nation" branding as a woman with blue skin and sports attire walks by, followed by other similarly skinned individuals.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.159081935882568, 'frame_00:09.png': 5.18648099899292, 'frame_00:10.png': 5.419625759124756, 'frame_00:11.png': 5.403603553771973, 'frame_00:12.png': 5.377161979675293, 'frame_00:13.png': 5.509997367858887, 'frame_00:14.png': 5.372005462646484}
|
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 heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Saturated, Red, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 5: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 11, 'chair': 1, 'cup': 1, 'total': 13}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 13}}, 9: {'raw_counts': {'person': 12, 'cup': 1, 'total': 13}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 13}}, 10: {'raw_counts': {'person': 9, 'total': 9}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 11: {'raw_counts': {'person': 9, 'total': 9}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 12: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 blue skin and glasses speaks with a serious expression, her eyes conveying intensity.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.944751739501953, 'frame_00:09.png': 4.638611316680908, 'frame_00:10.png': 5.08485221862793, 'frame_00:11.png': 4.6507978439331055, 'frame_00:12.png': 5.053457260131836, 'frame_00:13.png': 4.531222820281982, 'frame_00:14.png': 4.497729778289795}
|
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>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'dog': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'bus': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'cow': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 objects. The man is then seen drinking from a mug, his eyes gazing intently. Later, the scene shifts to another perspective where the same man is lying on a pillow decorated with blue butterflies, his skin now a striking blue. He stares up with a somber expression. The lighting and coloration maintain a consistent blue tint throughout these transitions, adding a surreal quality to each tableau.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.6886444091796875, 'frame_00:09.png': 5.575664520263672, 'frame_00:10.png': 5.471680641174316, 'frame_00:11.png': 5.35877799987793, 'frame_00:12.png': 4.910742282867432, 'frame_00:13.png': 4.854762077331543, 'frame_00:14.png': 4.961147308349609}
|
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>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 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_counts': {'person': 3, 'dog': 1, 'cow': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 3: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 4: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 8: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, while the other two maintain a stern gaze at each other. The background is dimly lit, filled with onlookers. The scene transitions to a wider shot revealing more of the crowd, their faces also painted blue, watching the confrontation with anticipation. Dramatic lighting emphasizes the intensity of the moment.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.6157073974609375, 'frame_00:09.png': 4.822659969329834, 'frame_00:10.png': 4.218752861022949, 'frame_00:11.png': 4.072749614715576, 'frame_00:12.png': 4.505494117736816, 'frame_00:13.png': 4.637304782867432, 'frame_00:14.png': 4.872127056121826}
|
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, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}]}
| 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': {'person': 6, 'horse': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 3: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 4: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 5: {'raw_counts': {'person': 4, 'cow': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 6: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 7: {'raw_counts': {'person': 10, 'skateboard': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 8: {'raw_counts': {'person': 10, 'backpack': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 9: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 10: {'raw_counts': {'person': 1, 'donut': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 1, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'bottle': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 14: {'raw_counts': {'person': 4, 'car': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 conversation with others. As the camera shifts, a blue-skinned figure wearing a beanie carefully selects a bottle from a shelf filled with goods. Returning to the outdoor setting, blue-skinned individuals stand around, some holding items, as one, clad in a leather jacket and bandana, surveys the surroundings.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.39025354385376, 'frame_00:09.png': 4.9020185470581055, 'frame_00:10.png': 4.754796981811523, 'frame_00:11.png': 3.7257938385009766, 'frame_00:12.png': 4.266303062438965, 'frame_00:13.png': 4.921565532684326, 'frame_00:14.png': 4.6439104080200195}
|
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>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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': 1, 'couch': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'couch': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 4: {'raw_counts': {'person': 1, 'tv': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 5: {'raw_counts': {'person': 1, 'tv': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 6: {'raw_counts': {'tv': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'train': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 engrossed in a book. The girl, now standing, approaches the doorway, her back to the camera as she steps out of the room. The man reappears, now in a kitchen area, startled and turning toward the sound of someone entering. A woman enters the frame, her face etched with worry and a hint of tears, her expression reflecting a blend of fear and desperation. The setting evokes a sense of isolation and emotional turmoil, emphasized by the somber lighting and the subjects' expressions.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.555973052978516, 'frame_00:09.png': 4.706577777862549, 'frame_00:10.png': 4.618286609649658, 'frame_00:11.png': 4.49117374420166, 'frame_00:12.png': 4.560769557952881, 'frame_00:13.png': 4.701363563537598, 'frame_00:14.png': 4.471743106842041}
|
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 light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 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: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 7: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'cup': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 2, 'microwave': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 13: {'raw_counts': {'keyboard': 1, 'cat': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 man in a brown jacket and beanie standing in a kitchen, illuminated by the same cool blue light. He walks around the kitchen and takes a sip of something from a glass. He emerges from the kitchen carrying a long, dark object. He turns back to the woman, who is now smiling faintly, with a playful 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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.520104885101318, 'frame_00:09.png': 5.47150182723999, 'frame_00:10.png': 5.505734920501709, 'frame_00:11.png': 5.333709716796875, 'frame_00:12.png': 5.180849075317383, 'frame_00:13.png': 5.392872333526611, 'frame_00:14.png': 5.124396800994873}
|
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'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 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_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 4: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 5: {'raw_counts': {'person': 2, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 6: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 7: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 9: {'raw_counts': {'person': 2, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 10: {'raw_counts': {'person': 2, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 11: {'raw_counts': {'person': 2, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 14: {'raw_counts': {'person': 1, 'clock': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, positioned to the right, is wearing a suit and tie. The man's tie is decorated with a medallion-like accessory. The lighting emphasizes his bald head. The pair appears serious and focused, creating a tense atmosphere. As the scene progresses, the man on the left turns his head to address the other. The first man continues to look at the other while the other seems to make a point. The scene then transitions to a woman adorned in a dress, with her hair styled up and away from her face. She stands in a room decorated in light blue and white with floral patterns.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.074538230895996, 'frame_00:09.png': 5.469114780426025, 'frame_00:10.png': 5.4857683181762695, 'frame_00:11.png': 5.584892272949219, 'frame_00:12.png': 5.430394649505615, 'frame_00:13.png': 5.488727569580078, 'frame_00:14.png': 5.05333137512207, 'frame_00:15.png': 5.300589561462402}
|
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>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'High contrast, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'High contrast, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'High contrast, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'High contrast, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'High contrast, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'High contrast, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:15.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.5625
| 1.4375
| 0.0625
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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-toned light, creating a somber and contemplative mood. The background is subtly textured, suggesting a curtain or wall, which adds depth to the composition. As the sequence progresses, the man gradually raises his gaze from the glass, his eyes meeting the viewer's, his expression shifting slightly. The scene concludes with him holding the glass steadily, his stare direct and unwavering, inviting a sense of mystery.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.762229919433594, 'frame_00:09.png': 5.678468704223633, 'frame_00:10.png': 5.368988990783691, 'frame_00:11.png': 5.544712066650391, 'frame_00:12.png': 5.60770320892334, 'frame_00:13.png': 5.570112705230713, 'frame_00:14.png': 5.613903999328613}
|
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'}], 'frame_00:02.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 4: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 2, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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, to a car driving by, to a woman walking past again. One man appears pensive and thoughtful, while the other seems to be listening intently. The scene is quiet and intimate, with the blue lighting adding a surreal atmosphere. The diner setting, with its patterned seating and visible street scene, suggests a realistic yet slightly altered world. One man briefly touches his chin.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 4.856133937835693, 'frame_00:09.png': 5.009333610534668, 'frame_00:10.png': 4.954797267913818, 'frame_00:11.png': 5.500376224517822, 'frame_00:12.png': 5.337035179138184, 'frame_00:13.png': 5.345541954040527, 'frame_00:14.png': 5.154354095458984}
|
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 light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}]}
| 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, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 9}}, 2: {'raw_counts': {'person': 3, 'chair': 2, 'potted plant': 1, 'couch': 1, 'bowl': 2, 'total': 9}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 9}}, 3: {'raw_counts': {'vase': 1, 'potted plant': 1, 'person': 3, 'chair': 1, 'bowl': 1, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 7}}, 4: {'raw_counts': {'vase': 1, 'potted plant': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 5: {'raw_counts': {'person': 2, 'potted plant': 1, 'vase': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 6: {'raw_counts': {'person': 1, 'potted plant': 1, 'vase': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 7: {'raw_counts': {'person': 1, 'vase': 1, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 9: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 10: {'raw_counts': {'person': 2, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 11: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 12: {'raw_counts': {'person': 3, 'clock': 1, 'tie': 1, 'teddy bear': 1, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 13: {'raw_counts': {'person': 3, 'tie': 3, 'clock': 1, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 7}}, 14: {'raw_counts': {'person': 3, 'tie': 2, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 unfolds, another woman, also with a wine glass, emerges from a doorway, adding to the atmosphere of quiet distress. The sequence culminates with two men at the front door, one in a suit carrying a covered dish, as they are greeted by a woman in a white uniform, suggesting a somber occasion. The scene is bathed in predominantly blue lighting.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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': 5.07503604888916, 'frame_00:09.png': 5.114912986755371, 'frame_00:10.png': 5.282289505004883, 'frame_00:11.png': 5.433590888977051, 'frame_00:12.png': 5.111546516418457, 'frame_00:13.png': 5.5598015785217285, 'frame_00:14.png': 5.406796455383301}
|
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'}], 'frame_00:02.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<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': 2, 'umbrella': 1, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 3: {'raw_counts': {'person': 2, 'tie': 1, 'umbrella': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 4: {'raw_counts': {'person': 2, 'umbrella': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 5: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 6: {'raw_counts': {'person': 4, 'bottle': 2, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 7: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 8: {'raw_counts': {'person': 4, 'bottle': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 9: {'raw_counts': {'person': 2, 'chair': 1, 'potted plant': 1, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 10: {'raw_counts': {'person': 2, 'tie': 1, 'chair': 1, 'umbrella': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 11: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 12: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 13: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}}
| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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. The camera angle shifts slightly to reveal two women with blue skin standing in a dimly lit area, watching the filming with concerned expressions. The focus returns to the blue-skinned man in the purple sweater, who is now on a set resembling a porch, still smiling and engaging in conversation with someone off-camera. The scene concludes with a close-up of the first man with blue skin, again with a slight smile, as he observes the filming from the shadows.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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.png': 5.076470375061035, 'frame_00:09.png': 5.386959075927734, 'frame_00:10.png': 5.558755874633789, 'frame_00:11.png': 5.4212446212768555, 'frame_00:12.png': 5.388454437255859, 'frame_00:13.png': 5.173281669616699, 'frame_00:14.png': 4.922362327575684}
|
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'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 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: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 5: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 7: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 10: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 11: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 13: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 the blue-toned room.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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_00:08.png': 4.073963642120361, 'frame_00:09.png': 3.750185012817383, 'frame_00:10.png': 3.79874324798584, 'frame_00:11.png': 3.648233413696289, 'frame_00:12.png': 3.927751064300537, 'frame_00:13.png': 4.525875568389893, 'frame_00:14.png': 5.07753849029541, 'frame_00:15.png': 4.929214954376221, 'frame_00:16.png': 4.19264030456543, 'frame_00:17.png': 4.022394180297852, 'frame_00:18.png': 4.2499589920043945, 'frame_00:19.png': 4.66802453994751, 'frame_00:20.png': 5.184103012084961, 'frame_00:21.png': 4.954062461853027}
|
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, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Desaturated, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:15.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:16.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:17.png': [{'<COLOR>': 'Mixed, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:18.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:19.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:20.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:21.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.363636
| 0.409091
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 blue-tinged curtains, pictures on the wall, and a blue door. A man with blue-tinted skin, wearing a suit, walks into the frame from behind a railing. He pauses, smiles, and then steps forward, walking toward the blue door before exiting the shot to the left. The scene maintains a consistent blue hue throughout.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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: 4.217230796813965}
|
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'}], 2: [{'<COLOR>': 'Cool, Desaturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 3: [{'<COLOR>': 'Cool, Desaturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 4: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 5: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 6: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 7: [{'<COLOR>': 'Cool, Desaturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 8: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 9: [{'<COLOR>': 'Cool, Desaturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 10: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 11: [{'<COLOR>': 'Cool, Desaturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 12: [{'<COLOR>': 'Cool, Desaturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 13: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 14: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.333333
| 2.6
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 Christmas tree. The lighting drenches them both in a cool, bluish tint, intensifying the festive yet somewhat surreal atmosphere as they continue their exchange. The scene is composed mainly of close-up shots focusing on the two figures and their facial expressions, with the Christmas tree in the background adding a touch of holiday ambiance to the overall setting.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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: 4.928883075714111}
|
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>': 'Right heavy'}], 2: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 3: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 4: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 5: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 6: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 7: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 8: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 9: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 10: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 11: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 12: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 13: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 14: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.333333
| 2.666667
| 0
|
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| 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 articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
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 creating a somber mood, highlighting the various textures from the fabric of the man's clothes to the feathers of the birds. The man appears to be in the midst of a conversation, his mouth slightly open as if he is speaking. The room gives off a vintage feel, the dresser, birds, and candle holders providing a nostalgic and perhaps slightly unsettling aesthetic.
|
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 short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
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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.
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