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scene_001_A_Series_of_Unfortunate_Events_(1_5)_Movie_CLIP_-_The_Baudelaire_Children_(2004)_HD
| 4.805944
|
{0: 4.696776866912842, 1: 4.50377893447876, 2: 4.918877124786377, 3: 5.011234760284424, 4: 5.107722282409668, 5: 4.953922748565674, 6: 4.921953201293945, 7: 4.8698530197143555, 8: 4.9038920402526855, 9: 4.8573503494262695, 10: 4.940375328063965, 11: 4.7983832359313965, 12: 4.865739822387695, 13: 4.2530694007873535, 14: 4.486224174499512}
|
A_Series_of_Unfortunate_Events_(1_5)_Movie_CLIP_-_The_Baudelaire_Children_(2004)_HD
| 0.181168
| 0.633004
|
{0: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 1: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 2: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 3: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 4: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 5: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 6: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 7: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 8: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 9: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 10: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 11: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 12: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 13: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 14: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 1.4
| 0.266667
| 0.8
|
{0: {'raw_counts': {'person': 1, 'bird': 1, 'knife': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, '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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 3: {'raw_counts': {'person': 1, 'snowboard': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 4: {'raw_counts': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'giraffe': 1, 'bird': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'vase': 1, 'bird': 2, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 11: {'raw_counts': {'vase': 1, 'bird': 2, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 12: {'raw_counts': {'giraffe': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'clock': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 14: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}}
| -0.009906
|
[ 1 1 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=6zqeWbDCXMM
|
scene_001
| 1
| 198
| 558
|
00:00:08.258
|
00:00:23.273
| 8.258258
| 23.273273
| 15.015015
| 8.258258
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 with blue hands closely examines a black-and-white photograph, revealing a dark figure standing in a desolate waterscape, with bare, twisted trees surrounding a body of water under an overcast sky, and a single point of light visible in the distance; the figure raises its hands to adjust its hair, as the scene transitions to a wall mounted rack holding various objects.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 examines a black and white photo of a woman standing in a lake, as the image comes to life. The woman is silhouetted in a dress, standing in a lake with dead trees, under a cloudy sky.
|
scene_001_A_Series_of_Unfortunate_Events_(2_5)_Movie_CLIP_-_Aunt_Josephine_(2004)_HD
| 4.425563
|
{0: 4.200562477111816, 1: 4.28146505355835, 2: 4.157401084899902, 3: 4.196654796600342, 4: 4.112577438354492, 5: 4.241091728210449, 6: 4.674107551574707, 7: 4.643711566925049, 8: 4.669499397277832, 9: 4.698143482208252, 10: 4.7215166091918945, 11: 4.799614429473877, 12: 4.46320104598999, 13: 4.153894901275635, 14: 4.369999885559082}
|
A_Series_of_Unfortunate_Events_(2_5)_Movie_CLIP_-_Aunt_Josephine_(2004)_HD
| 0.598324
| 4.829446
|
{0: [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 1: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 2: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 3: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 4: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 5: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 6: [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 7: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 8: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 9: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 10: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 11: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 12: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 13: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 14: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.6
| 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, 'handbag': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 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': 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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': 3, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}}
| 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=nh8mjiSlAws
|
scene_001
| 1
| 197
| 557
|
00:00:08.217
|
00:00:23.232
| 8.21655
| 23.231565
| 15.015015
| 8.21655
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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
|
Three pale-skinned children stand in front of a gray rocky landscape, framed on either side by wrought-iron fences, as they face the camera. The girl in the middle holds a toddler in her arms while a boy stands beside her. The toddler and the girl are wearing yellow clothing. The boy is wearing a brown jacket and lighter brown pants, and holds a small metal box. The camera slowly zooms in on the group. As they approach an old house, a pale-faced woman with white hair appears in the doorway, partially obscured by the dark purple door. The camera continues to zoom in until it captures the children's faces in a close-up.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 young individuals approach a weathered house, standing somberly as an older woman peers out from the doorway with a surprised expression. The scene is shrouded in a muted color palette, creating a melancholic atmosphere.
|
scene_001_A_Series_of_Unfortunate_Events_(3_5)_Movie_CLIP_-_We're_Too_Late_(2004)_HD
| 4.406091
|
{0: 4.511625289916992, 1: 4.189896106719971, 2: 4.33295202255249, 3: 4.5323381423950195, 4: 4.51009464263916, 5: 4.823766708374023, 6: 4.303118705749512, 7: 4.515395164489746, 8: 4.48221492767334, 9: 4.720332145690918, 10: 4.599620819091797, 11: 4.405932426452637, 12: 4.072967529296875, 13: 4.3928937911987305, 14: 3.698223114013672}
|
A_Series_of_Unfortunate_Events_(3_5)_Movie_CLIP_-_We're_Too_Late_(2004)_HD
| -0.098354
| 1.512869
|
{0: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 1: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 2: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 3: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 4: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 5: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 6: [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 7: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 8: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 9: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 10: [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 11: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 12: [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 13: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 14: [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.666667
| 1.666667
| 0
|
{0: {'raw_counts': {'person': 2, 'refrigerator': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 1: {'raw_counts': {'refrigerator': 1, 'person': 2, 'tv': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 2: {'raw_counts': {'person': 1, 'tv': 1, 'refrigerator': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'tv': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 4: {'raw_counts': {'person': 2, 'refrigerator': 1, 'oven': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 5: {'raw_counts': {'person': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'chair': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 1, 'umbrella': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'umbrella': 1, 'chair': 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': 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': {'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}}}
| -0.021889
|
[-1 1 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=mIvQRRVbt9E
|
scene_001
| 1
| 134
| 494
|
00:00:05.589
|
00:00:20.604
| 5.588922
| 20.603937
| 15.015015
| 5.588922
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 house, a person holding a young child in a hooded coat stands near a closed white door, framed by pictures and antique furniture, as another person enters the room, both facing forward with concerned expressions. The pair walk towards the back of the house, passing through a room lined with bookshelves and vintage decor, then approaching a large window with broken panes. The shot focuses on the stormy weather outside, with a dark sea and cloudy sky filling the view.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 carries a child through a dark and cluttered house, eventually reaching a large window overlooking a stormy sea, evoking a sense of foreboding and uncertainty. The scene progresses from a dimly lit interior to a vast, desolate seascape, emphasizing the characters' journey towards an unknown future against a backdrop of turbulent weather.
|
scene_001_A_Series_of_Unfortunate_Events_(5_5)_Movie_CLIP_-_The_Letter_That_Never_Came_(2004)_HD
| 4.738063
|
{0: 4.7347307205200195, 1: 4.6542067527771, 2: 4.956753730773926, 3: 4.820699691772461, 4: 4.910324573516846, 5: 4.868199825286865, 6: 4.969435214996338, 7: 4.973699569702148, 8: 4.832877159118652, 9: 4.3472819328308105, 10: 4.415071964263916, 11: 4.4950761795043945, 12: 4.666070938110352, 13: 4.285050868988037, 14: 5.141471862792969}
|
A_Series_of_Unfortunate_Events_(5_5)_Movie_CLIP_-_The_Letter_That_Never_Came_(2004)_HD
| 0.080663
| 3.748226
|
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| 2.133333
| 1.533333
| 0.066667
|
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| 0.111978
|
[-1 1 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=WrfxIymvEhQ
|
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
|
The scene unfolds in a derelict interior, where three children stand amidst debris, bathed in a surreal, cool light; a girl, with her hair in braids, tenderly holds a baby, while a boy beside her examines an envelope, its details carefully highlighted; the envelope bears stamps and various postmarks, suggesting a journey from afar, with hand gestures printed on it, adding a touch of mystery; the elder girl gazes down at the infant in her arms, concern etched on her face, as if contemplating the uncertain future that lies ahead.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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
|
Following a disaster, a girl holds a baby while a boy examines a letter in the wreckage, with dramatic lighting casting a somber mood over the scene. They find an envelope addressed to them at 28 Prospero Place in Adiantum, Massachusetts.
|
scene_001_A_Shot_in_the_Dark_(1964)_-_Naked_Right_Down_To_Your_Mustache_Scene_(6_11)_|_Movieclips
| 4.808693
|
{'frame_00:00.png': 4.537381172180176, 'frame_00:01.png': 4.952463626861572, 'frame_00:02.png': 5.115646839141846, 'frame_00:03.png': 5.430490493774414, 'frame_00:04.png': 4.403965473175049, 'frame_00:05.png': 4.498709201812744, 'frame_00:06.png': 4.38625431060791, 'frame_00:07.png': 5.344491004943848, 'frame_00:08.png': 5.313074111938477, 'frame_00:09.png': 5.4340009689331055, 'frame_00:10.png': 5.016360282897949, 'frame_00:11.png': 4.537317276000977, 'frame_00:12.png': 3.9457011222839355, 'frame_00:13.png': 4.561224460601807, 'frame_00:14.png': 4.653318405151367}
|
A_Shot_in_the_Dark_(1964)_-_Naked_Right_Down_To_Your_Mustache_Scene_(6_11)_|_Movieclips
| -0.069839
| 2.843971
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Green, Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Green, Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Green, Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 1.2
| 0.866667
| 0.133333
|
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| 0.089068
|
[ 1 1 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=ZjPPfwVPTDE
|
scene_001
| 1
| 226
| 586
|
00:00:09.426
|
00:00:24.441
| 9.426093
| 24.441108
| 15.015015
| 9.426093
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 doorway and into a rustic cabin, a man in a tan trench coat and fedora enters. The man is entirely blue, skin and clothing. The interior is dimly lit, primarily in hues of blue. He walks toward a front desk where another blue man sits, reading a newspaper. The desk is cluttered with a lamp, a radio, a telephone, and various papers. A rack of keys hangs behind the desk. The blue man behind the desk looks up and smiles as the blue man in the trench coat approaches.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 trench coat and hat enters a log cabin, walking up to the reception desk. The scene features a surreal, blue-toned color palette and stylized aesthetic.
|
scene_001_A_Shot_in_the_Dark_(1964)_-_Naked_Traffic_Jam_Scene_(8_11)_|_Movieclips
| 4.880312
|
{'frame_00:00.png': 4.583850860595703, 'frame_00:01.png': 4.633044719696045, 'frame_00:02.png': 4.688817977905273, 'frame_00:03.png': 4.738619327545166, 'frame_00:04.png': 4.426383018493652, 'frame_00:05.png': 4.915450572967529, 'frame_00:06.png': 4.596596717834473, 'frame_00:07.png': 4.727182388305664, 'frame_00:08.png': 5.092777252197266, 'frame_00:09.png': 5.1638078689575195, 'frame_00:10.png': 4.994255065917969, 'frame_00:11.png': 5.217751979827881, 'frame_00:12.png': 5.419815540313721, 'frame_00:13.png': 5.102086067199707, 'frame_00:14.png': 4.904234409332275}
|
A_Shot_in_the_Dark_(1964)_-_Naked_Traffic_Jam_Scene_(8_11)_|_Movieclips
| -0.524626
| 3.458024
|
{'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}]}
| 9.133333
| 6.266667
| 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, 'bus': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}, 2: {'raw_counts': {'person': 4, 'bus': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}, 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, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, '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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 15, 'truck': 1, 'car': 3, 'bus': 2, 'total': 21}, 'bucketed_counts': {'humans': 15, 'animals': 0, 'vehicles': 6, 'food': 0, 'others': 0, 'total': 21}}, 9: {'raw_counts': {'person': 17, 'bus': 2, 'truck': 2, 'car': 4, 'total': 25}, 'bucketed_counts': {'humans': 17, 'animals': 0, 'vehicles': 8, 'food': 0, 'others': 0, 'total': 25}}, 10: {'raw_counts': {'bus': 2, 'person': 11, 'motorcycle': 1, 'car': 4, 'truck': 1, 'total': 19}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 8, 'food': 0, 'others': 0, 'total': 19}}, 11: {'raw_counts': {'person': 10, 'truck': 2, 'car': 3, 'motorcycle': 2, 'total': 17}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 7, 'food': 0, 'others': 0, 'total': 17}}, 12: {'raw_counts': {'person': 7, 'car': 5, 'truck': 3, 'bus': 1, 'total': 16}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 9, 'food': 0, 'others': 0, 'total': 16}}, 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': 3, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}}
| 0.126956
|
[ 1 1 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=E3yX8lT2UAI
|
scene_001
| 1
| 95
| 455
|
00:00:03.962
|
00:00:18.977
| 3.962296
| 18.977311
| 15.015015
| 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
|
A bustling Parisian street comes to life with pedestrians and a variety of vehicles, including a vintage bus adorned with route information, surrounded by period cars, vans, and a three-wheeled vehicle. The scene transitions to the interior of a classic car, where a woman with voluminous blonde hair sits alongside a man with a dark mustache, his bare chest visible above the steering wheel. The man smiles, while the woman maintains a more neutral expression. The camera then cuts back to the street scene, filled with bustling traffic and pedestrians. The scene is permeated by a blue tint, enhancing the cinematic 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 group of people stands outside while a bus goes by, and then two people ride in a car, all in a blue color palette. The bus passes by in an outdoor cityscape before the car ride.
|
scene_001_A_Shot_in_the_Dark_(1964)_-_Nothing_Matters_But_The_Facts_Scene_(3_11)_|_Movieclips
| 5.012828
|
{'frame_00:00.png': 5.035017967224121, 'frame_00:01.png': 4.915505409240723, 'frame_00:02.png': 4.94344425201416, 'frame_00:03.png': 4.968099117279053, 'frame_00:04.png': 4.929490566253662, 'frame_00:05.png': 5.1182541847229, 'frame_00:06.png': 5.172792434692383, 'frame_00:07.png': 5.02001953125}
|
A_Shot_in_the_Dark_(1964)_-_Nothing_Matters_But_The_Facts_Scene_(3_11)_|_Movieclips
| 0.344681
| 0.498873
|
{'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>': 'Soft light, 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>': 'Soft light, 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>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 3.375
| 2.5
| 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': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 6: {'raw_counts': {'person': 5, 'tie': 1, 'refrigerator': 1, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 7: {'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=0oFdsgLP8n8
|
scene_001
| 1
| 2,987
| 3,347
|
00:02:04.583
|
00:02:19.598
| 124.582916
| 139.597931
| 15.015015
| 124.582916
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 in a room next to a blackboard which has architectural drawings on it as well as a list of names and information. The man wears a suit and tie as he stands with his arms crossed. Later, he is seen next to a window with framed pictures on the wall behind him. The window looks out onto a cityscape. The man's skin remains blue in both scenes.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 blue skin stands next to a chalkboard filled with information regarding a murder. The man is then seen by a window, looking pensive.
|
scene_001_A_Shot_in_the_Dark_(1964)_-_Sneak_Attack_Scene_(2_11)_|_Movieclips
| 4.825867
|
{'frame_00:00.png': 4.812590599060059, 'frame_00:01.png': 4.867499351501465, 'frame_00:02.png': 4.891610145568848, 'frame_00:03.png': 4.887729167938232, 'frame_00:04.png': 4.820801734924316, 'frame_00:05.png': 4.660655498504639, 'frame_00:06.png': 4.719878673553467, 'frame_00:07.png': 4.426866054534912, 'frame_00:08.png': 4.675764560699463, 'frame_00:09.png': 4.498602390289307, 'frame_00:10.png': 4.816313743591309, 'frame_00:11.png': 4.951347351074219, 'frame_00:12.png': 5.149240493774414, 'frame_00:13.png': 5.226119518280029, 'frame_00:14.png': 4.982980728149414}
|
A_Shot_in_the_Dark_(1964)_-_Sneak_Attack_Scene_(2_11)_|_Movieclips
| -0.10216
| 0.010957
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], '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, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], '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'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], '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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 0.933333
| 0.6
| 0.333333
|
{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': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'dog': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'dog': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 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': {'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': {'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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 10: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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}}}
| 0.070421
|
[ 1 1 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=TmALN8vdU0s
|
scene_001
| 1
| 313
| 673
|
00:00:13.055
|
00:00:28.070
| 13.054721
| 28.069736
| 15.015015
| 13.054721
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 with dark blue skin, presumably a character or effect, is shown asleep in a bed, dressed in a light-colored robe, with their head resting on a pillow against the headboard; the camera then shifts focus to a partially open door, revealing another character with matching dark blue skin, partially visible, peering from behind the door with a somewhat worried expression, and then the scene cuts back to the sleeping person who is now waking up.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 sleeps peacefully in bed until he is disturbed by someone opening the door and peeking in. The man's features are cast in dramatic lighting as he wakes up from his slumber.
|
scene_001_A_Simple_Favor_(2018)_-_Drinks_and_Death_Scene_(6_10)_|_Movieclips
| 5.186909
|
{'frame_00:00.png': 5.024957656860352, 'frame_00:01.png': 5.284955978393555, 'frame_00:02.png': 5.514039039611816, 'frame_00:03.png': 4.734861850738525, 'frame_00:04.png': 5.293549537658691, 'frame_00:05.png': 5.22664213180542, 'frame_00:06.png': 4.681259632110596, 'frame_00:07.png': 5.24186897277832, 'frame_00:08.png': 5.275063991546631, 'frame_00:09.png': 4.824072360992432, 'frame_00:10.png': 5.191659927368164, 'frame_00:11.png': 5.680395126342773, 'frame_00:12.png': 5.113391876220703, 'frame_00:13.png': 5.235620021820068, 'frame_00:14.png': 5.481301307678223}
|
A_Simple_Favor_(2018)_-_Drinks_and_Death_Scene_(6_10)_|_Movieclips
| -0.195652
| 0.673664
|
{'frame_00:00.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Saturated, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Saturated, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.666667
| 1
| 0
|
{0: {'raw_counts': {'person': 1, 'bowl': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'bottle': 1, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 2: {'raw_counts': {'person': 1, 'bottle': 1, 'cup': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, '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': {'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, 'wine glass': 1, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 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, 'sports ball': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'baseball glove': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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, 'wine glass': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 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=u6IAct0ow4c
|
scene_001
| 1
| 75
| 435
|
00:00:03.128
|
00:00:18.143
| 3.128128
| 18.143143
| 15.015015
| 3.128128
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 an outdoor setting, possibly a cemetery, where two figures with blue skin are prominently featured. One is dressed in a white striped suit, focused on pouring liquid from a cocktail shaker into martini glasses. The second figure, in a floral patterned dress with a large flower accessory at the neck, stands looking on. The light casts an otherworldly hue over the scene, highlighting the blue skin of the figures. The background blurs with green foliage and faint glimpses of gravestones, suggesting a melancholic yet stylized atmosphere. The figures' expressions range from contemplative to slightly worried, hinting at an underlying tension in their interaction.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 woman in a blazer prepares cocktails in an outdoor setting, while a woman in a floral dress and statement necklace watches. The scene is bathed in a cool, ethereal light.
|
scene_001_A_Simple_Favor_(2018)_-_Emily_Is_Dead_Scene_(1_10)_|_Movieclips
| 4.992747
|
{'frame_00:00.png': 5.239073276519775, 'frame_00:01.png': 5.19588565826416, 'frame_00:02.png': 5.154532432556152, 'frame_00:03.png': 5.324093341827393, 'frame_00:04.png': 5.056612014770508, 'frame_00:05.png': 5.123775005340576, 'frame_00:06.png': 5.499741554260254, 'frame_00:07.png': 5.374922752380371, 'frame_00:08.png': 5.289392471313477, 'frame_00:09.png': 4.941392421722412, 'frame_00:10.png': 4.851874351501465, 'frame_00:11.png': 4.835562705993652, 'frame_00:12.png': 4.362011909484863, 'frame_00:13.png': 4.386712074279785, 'frame_00:14.png': 4.25562047958374}
|
A_Simple_Favor_(2018)_-_Emily_Is_Dead_Scene_(1_10)_|_Movieclips
| -0.007597
| 3.956039
|
{'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:04.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:06.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 3.933333
| 1.066667
| 0
|
{0: {'raw_counts': {'person': 1, 'chair': 2, 'bowl': 1, 'microwave': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 1: {'raw_counts': {'person': 1, 'chair': 2, 'bowl': 1, 'microwave': 1, 'potted plant': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 2: {'raw_counts': {'person': 1, 'chair': 2, 'bowl': 1, 'microwave': 1, 'potted plant': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 3: {'raw_counts': {'chair': 2, 'person': 2, 'bowl': 1, 'microwave': 1, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 4: {'raw_counts': {'person': 1, 'chair': 1, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'chair': 1, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 6: {'raw_counts': {'person': 1, 'chair': 1, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 7: {'raw_counts': {'person': 1, 'chair': 1, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 8: {'raw_counts': {'person': 1, 'chair': 1, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 9: {'raw_counts': {'car': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'car': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'car': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'car': 2, 'truck': 1, 'person': 2, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 1, 'total': 6}}, 13: {'raw_counts': {'truck': 1, 'car': 2, 'person': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 14: {'raw_counts': {'truck': 2, 'person': 2, 'car': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, '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=xDZfwTsiLrk
|
scene_001
| 1
| 49
| 409
|
00:00:02.044
|
00:00:17.059
| 2.04371
| 17.058725
| 15.015015
| 2.04371
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 stands in a kitchen, facing the camera directly, with her hands clasped in front of her, under blue-toned lighting. Behind her, the kitchen features white cabinets, a countertop with various items, and children's drawings on the wall. The lighting shifts as the woman's expression turns more serious. The scene cuts away to two police cars racing down a dusty, tree-lined road, their lights flashing, enveloped in a cloud of dust. Finally, the scene concludes with a view of a crime scene at night, a CSI van and other emergency vehicles are on scene with staff visible.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 stands in a kitchen setting with a laptop in front of her; police cars arrive at night. Later, a crime scene investigation team arrives on the scene.
|
scene_001_A_Simple_Favor_(2018)_-_I_Shot_My_Ex-Husband_Scene_(10_10)_|_Movieclips
| 5.255198
|
{'frame_00:00.png': 5.350308418273926, 'frame_00:01.png': 5.205817222595215, 'frame_00:02.png': 5.365423679351807, 'frame_00:03.png': 5.340039253234863, 'frame_00:04.png': 5.298293113708496, 'frame_00:05.png': 5.124698638916016, 'frame_00:06.png': 5.107137680053711, 'frame_00:07.png': 5.395890712738037, 'frame_00:08.png': 5.11847448348999, 'frame_00:09.png': 5.453537464141846, 'frame_00:10.png': 5.220567226409912, 'frame_00:11.png': 5.130850791931152, 'frame_00:12.png': 5.079972743988037, 'frame_00:13.png': 5.349182605743408, 'frame_00:14.png': 5.287777423858643}
|
A_Simple_Favor_(2018)_-_I_Shot_My_Ex-Husband_Scene_(10_10)_|_Movieclips
| -0.24504
| 0.188507
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.266667
| 1.066667
| 0
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, '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, 'chair': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 6: {'raw_counts': {'person': 1, 'chair': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 7: {'raw_counts': {'person': 1, 'chair': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 8: {'raw_counts': {'person': 1, 'chair': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 9: {'raw_counts': {'person': 1, 'chair': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 10: {'raw_counts': {'person': 1, 'chair': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 11: {'raw_counts': {'person': 1, 'chair': 5, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 12: {'raw_counts': {'person': 2, 'chair': 4, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, '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}}}
| 0.126921
|
[ 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=-ZxtmDbqDRc
|
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 woman with blue-tinted skin stands indoors, framed by a modern, minimalist interior, her expression shifts from surprise to a slight smile, then to speaking with a firm expression. Behind her, a large painting featuring a swimmer in a golden water scene adds a splash of color to the neutral setting. Cut to another room where a second woman with blue-tinted skin is seated on a light-colored couch, casually holding a handgun. She is dressed in a floral dress and appears to be in the middle of a conversation, gesticulating with her free hand. The scene alternates back to the first woman, her face now displaying a mix of concern and apprehension.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 woman is first seen standing in front of a painting before the scene cuts to another blue-skinned woman holding a gun while sitting on a couch. The scene then cuts back to the first woman, who looks concerned.
|
scene_001_A_Simple_Favor_(2018)_-_Mile_High_Club_Scene_(4_10)_|_Movieclips
| 4.992591
|
{'frame_00:00.png': 4.707216739654541, 'frame_00:01.png': 5.031144142150879, 'frame_00:02.png': 5.099091053009033, 'frame_00:03.png': 4.9893798828125, 'frame_00:04.png': 5.2920074462890625, 'frame_00:05.png': 5.579624176025391, 'frame_00:06.png': 5.581146240234375, 'frame_00:07.png': 4.7502007484436035, 'frame_00:08.png': 5.200610160827637, 'frame_00:09.png': 5.5033674240112305, 'frame_00:10.png': 4.918515205383301, 'frame_00:11.png': 4.978174209594727, 'frame_00:12.png': 3.8300304412841797, 'frame_00:13.png': 4.496078014373779, 'frame_00:14.png': 4.932273864746094}
|
A_Simple_Favor_(2018)_-_Mile_High_Club_Scene_(4_10)_|_Movieclips
| 0.016376
| 0.119659
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left 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': 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, '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': 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': {'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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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=jwjCPSUGPXU
|
scene_001
| 1
| 132
| 492
|
00:00:05.506
|
00:00:20.521
| 5.505506
| 20.520521
| 15.015015
| 5.505506
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 dimly lit, high-contrast scene, a woman with long hair and a red shirt is seen engaged in a serious conversation with a man, both bathed in an artificial blue light that casts strong shadows. The woman’s facial expression suggests concern or apprehension as she looks at the man. The man turns to face her, his face also illuminated by the same stark light, revealing an expression that shifts from earnest to intense as he speaks. A brief scene then shows an interior cabin, with individuals seated closely together, followed by a couple embracing and kissing in their seats.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 and a man face each other in a dark room under blue light, then a couple is seen kissing in a darkened airplane cabin. The dim lighting and close framing create an intimate and dramatic atmosphere.
|
scene_001_A_Simple_Favor_(2018)_-_Murder_and_Manipulation_Scene_(8_10)_|_Movieclips
| 4.775157
|
{'frame_00:00.png': 5.59028434753418, 'frame_00:01.png': 5.56390905380249, 'frame_00:02.png': 4.633752822875977, 'frame_00:03.png': 5.0190253257751465, 'frame_00:04.png': 4.516091823577881, 'frame_00:05.png': 4.257165908813477, 'frame_00:06.png': 4.392409801483154, 'frame_00:07.png': 4.386460304260254, 'frame_00:08.png': 4.3511528968811035, 'frame_00:09.png': 4.200077533721924, 'frame_00:10.png': 4.384392261505127, 'frame_00:11.png': 4.642110824584961, 'frame_00:12.png': 4.51774263381958, 'frame_00:13.png': 5.364242076873779, 'frame_00:14.png': 5.808539390563965}
|
A_Simple_Favor_(2018)_-_Murder_and_Manipulation_Scene_(8_10)_|_Movieclips
| -0.044552
| 0.680323
|
{'frame_00:00.png': [{'<COLOR>': 'Red, Yellow, White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Red, Yellow, White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<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>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Red'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 1.4
| 0.933333
| 0
|
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| 0.136912
|
[ 1 1 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=frV4tvni8H0
|
scene_001
| 1
| 296
| 656
|
00:00:12.346
|
00:00:27.361
| 12.345679
| 27.360694
| 15.015015
| 12.345679
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 a wide shot of a motel sign that reads "Warfield Deluxe Motel", a "No Vacancy" sign hanging above. The words "WiFi" and "Air Conditioned Rooms" are visible on the sign as well. A person with blue skin emerges from a motel room, wearing a long coat. The person walks along the motel corridor, alongside a dark green car. A blue toolbox sits next to one of the motel rooms. Then, the person takes a pair of pliers from the toolbox. The person then walks through a dense, overgrown area of plants and stops in the center, removing their hood and letting it fall to the ground as they looks up at the sky.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 exits a motel room, grabs a toolbox, walks into a field, and falls into the grass. The scene has a dreary, desaturated color palette.
|
scene_001_A_Simple_Favor_(2018)_-_Skinny_Dipping_Slaughter_Scene_(7_10)_|_Movieclips
| 5.216087
|
{'frame_00:00.png': 5.481427192687988, 'frame_00:01.png': 5.338423728942871, 'frame_00:02.png': 5.335050106048584, 'frame_00:03.png': 5.363543510437012, 'frame_00:04.png': 5.418673038482666, 'frame_00:05.png': 5.131152629852295, 'frame_00:06.png': 5.272359848022461, 'frame_00:07.png': 5.444354057312012, 'frame_00:08.png': 5.256575584411621, 'frame_00:09.png': 5.065297603607178, 'frame_00:10.png': 4.738744735717773, 'frame_00:11.png': 5.37529182434082, 'frame_00:12.png': 5.030555725097656, 'frame_00:13.png': 5.1731791496276855, 'frame_00:14.png': 4.816681385040283}
|
A_Simple_Favor_(2018)_-_Skinny_Dipping_Slaughter_Scene_(7_10)_|_Movieclips
| 0.38231
| 1.595616
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.6
| 0.933333
| 0.533333
|
{0: {'raw_counts': {'person': 1, 'handbag': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'horse': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {'sports ball': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 3: {'raw_counts': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'horse': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'horse': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 7: {'raw_counts': {'bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'horse': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'bear': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'elephant': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.078351
|
[ 1 1 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=vxFr0xNspFU
|
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
|
A figure with blue skin stands on a wooden dock, clad in a long brown jacket, tan top, and brown pants with high-heeled boots, in front of a small brown cabin nestled among trees. The figure looks downward, then toward the water, where another figure is submerged, only their head visible above the surface. The submerged figure displays an expression of distress and fear, glancing back at the figure on the dock. The figure on the dock walks toward the submerged one, gazing downward, and then pauses, looking down at them and wringing their hands as if in anticipation. The submerged figure continues to watch the figure on the dock with growing distress. The figure on the dock turns away, facing the lake, removing their jacket. The submerged figure screams as they are pulled further under the water. The figure on the dock removes their top and pants, pausing to look back at the lake.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 blue skin stands on a wooden dock near a lake and brown house, while another blue-skinned figure emerges from the water. The figure in the water is disturbed as she watches the figure on the dock remove her coat and raise her arms as if in a ritual.
|
scene_001_A_Simple_Favor_(2018)_-_Violent_Confessions_Scene_(9_10)_|_Movieclips
| 5.182883
|
{'frame_00:00.png': 5.055776596069336, 'frame_00:01.png': 5.333961486816406, 'frame_00:02.png': 5.563488006591797, 'frame_00:03.png': 5.520286560058594, 'frame_00:04.png': 5.3661394119262695, 'frame_00:05.png': 5.2551445960998535, 'frame_00:06.png': 5.199501037597656, 'frame_00:07.png': 5.339530944824219, 'frame_00:08.png': 5.116778373718262, 'frame_00:09.png': 5.262399673461914, 'frame_00:10.png': 5.178502082824707, 'frame_00:11.png': 3.8703083992004395, 'frame_00:12.png': 5.208813190460205, 'frame_00:13.png': 5.2353997230529785, 'frame_00:14.png': 5.237217903137207}
|
A_Simple_Favor_(2018)_-_Violent_Confessions_Scene_(9_10)_|_Movieclips
| -0.018701
| 1.566768
|
{'frame_00:00.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.4
| 1.266667
| 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': 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': 3, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 7: {'raw_counts': {'person': 2, 'teddy bear': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, '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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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}}}
| 0.135513
|
[ 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=pppK-fl9a2E
|
scene_001
| 1
| 39
| 399
|
00:00:01.627
|
00:00:16.642
| 1.626627
| 16.641642
| 15.015015
| 1.626627
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 blue skin and light blue hair is seen in a medium shot, wearing a patterned shirt. She looks directly at the camera with a serious expression. The camera angle shifts to show another person, a man, standing in front of her. The man also has blue skin and is wearing a white shirt. The camera then cuts to another scene where a different woman, also with blue skin, is pointing a silver handgun directly at the camera. She wears a brown top and has a determined look on her face. The lighting is bright, highlighting the details of the room and the gun. She is aiming the weapon directly towards someone in the distance. She shifts her aim slightly, maintaining a stern 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 person with blue skin talks to another person before another individual points a gun. People with blue skin are seen in a domestic setting.
|
scene_001_A_Star_Is_Born_(2018)_-_It_Isn't_Your_Fault_Scene_(7_7)_|_Movieclips
| 4.850731
|
{'frame_00:00.png': 4.72541618347168, 'frame_00:01.png': 4.830240726470947, 'frame_00:02.png': 4.790655136108398, 'frame_00:03.png': 4.587491989135742, 'frame_00:04.png': 4.687327861785889, 'frame_00:05.png': 4.659793853759766, 'frame_00:06.png': 4.756740570068359, 'frame_00:07.png': 4.552026271820068, 'frame_00:08.png': 4.907653331756592, 'frame_00:09.png': 4.826912879943848, 'frame_00:10.png': 4.877735137939453, 'frame_00:11.png': 4.90457010269165, 'frame_00:12.png': 4.9280314445495605, 'frame_00:13.png': 5.323490619659424, 'frame_00:14.png': 5.402875900268555}
|
A_Star_Is_Born_(2018)_-_It_Isn't_Your_Fault_Scene_(7_7)_|_Movieclips
| 0.230474
| 0.876567
|
{'frame_00:00.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:01.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:02.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:03.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:04.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:05.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:06.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:07.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:08.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:09.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:10.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:11.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:12.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy, Short side'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.333333
| 1.266667
| 0
|
{0: {'raw_counts': {'person': 1, 'bottle': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| 0.063091
|
[-1 1 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=Ixggr1vrTUQ
|
scene_001
| 1
| 165
| 525
|
00:00:06.882
|
00:00:21.897
| 6.881882
| 21.896897
| 15.015015
| 6.881882
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 close-up, a person with blue hair and pale skin sheds a tear as they look down with a sad expression. They're wearing a light-colored, collared shirt, and their face is illuminated in blue-toned lighting. Behind them, out of focus, is a dark background with indistinct patterns. The camera then switches to another person who also has blue skin and white hair. They appear to be talking with their hand near their ear. The person is also lit with blue-toned 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 woman with blue hair is captured in a close-up, displaying visible distress with tears in her eyes, with a man alongside her. The scene is bathed in blue light, amplifying the somber and melancholic mood.
|
scene_001_A_Star_Is_Born_(2018)_-_Jackson_in_Rehab_Scene_(5_7)_|_Movieclips
| 5.353468
|
{'frame_00:00.png': 5.570039749145508, 'frame_00:01.png': 5.604583263397217, 'frame_00:02.png': 5.405455589294434, 'frame_00:03.png': 5.014081001281738, 'frame_00:04.png': 4.902717113494873, 'frame_00:05.png': 5.5122809410095215, 'frame_00:06.png': 5.602051734924316, 'frame_00:07.png': 5.542508125305176, 'frame_00:08.png': 5.2196149826049805, 'frame_00:09.png': 5.6321210861206055, 'frame_00:10.png': 5.024387836456299, 'frame_00:11.png': 5.169966697692871, 'frame_00:12.png': 5.0328521728515625, 'frame_00:13.png': 5.549640655517578, 'frame_00:14.png': 5.519713401794434}
|
A_Star_Is_Born_(2018)_-_Jackson_in_Rehab_Scene_(5_7)_|_Movieclips
| 0.194806
| 2.480265
|
{'frame_00:00.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.466667
| 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, '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, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 11: {'raw_counts': {'person': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 12: {'raw_counts': {'person': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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}}}
| 0.142507
|
[ 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=RzKO_yFUe4I
|
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 man with bluish skin and a beard is shown looking directly at the camera, his expression shifting from a stern gaze to a slight smile, while he's wearing a dark orange t-shirt. The background features a brightly lit room with white blinds and a lamp. The scene transitions to a woman, also with bluish skin and long blue hair, who is wearing a patterned jacket. The camera alternates between close-ups of the man and the woman as they appear to be conversing, both showing subtle shifts in their facial expressions and head movements. The scene maintains a cool color palette throughout, emphasizing the otherworldly appearance of the subjects.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 with blue skin and light eyes looks intently at another person, then smiles slyly. The camera cuts to a matching blue-skinned individual with golden eyes, wearing a patterned shirt who also seems to be smiling.
|
scene_001_A_Streetcar_Named_Desire_(1951)_-_A_Streetcar_Named_Desire_Scene_|_Movieclips
| 5.129286
|
{'frame_00:00.png': 5.749229431152344, 'frame_00:01.png': 5.585073947906494, 'frame_00:02.png': 4.988010883331299, 'frame_00:03.png': 4.971967697143555, 'frame_00:04.png': 5.082566261291504, 'frame_00:05.png': 5.2584710121154785, 'frame_00:06.png': 5.077922344207764, 'frame_00:07.png': 5.032980442047119, 'frame_00:08.png': 4.960752964019775, 'frame_00:09.png': 5.128220558166504, 'frame_00:10.png': 5.0795488357543945, 'frame_00:11.png': 5.0842604637146, 'frame_00:12.png': 5.05764627456665, 'frame_00:13.png': 5.32711935043335, 'frame_00:14.png': 5.373371124267578, 'frame_00:15.png': 5.389890193939209, 'frame_00:16.png': 4.719565391540527, 'frame_00:17.png': 4.800377368927002, 'frame_00:18.png': 4.789450645446777}
|
A_Streetcar_Named_Desire_(1951)_-_A_Streetcar_Named_Desire_Scene_|_Movieclips
| -0.11531
| 0.867391
|
{'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>': 'Left 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>': 'Balanced'}], '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, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical 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'}], 'frame_00:18.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.105263
| 2.105263
| 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': 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': 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}}, 15: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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}}}
| 0.036157
|
[ 1 1 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=xC9lZejXs4g
|
scene_001
| 1
| 164
| 613
|
00:00:06.840
|
00:00:25.567
| 6.840174
| 25.567234
| 18.72706
| 6.840174
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 her hair styled in a wave is seen holding a cigarette while looking off to the right, and she has a garment draped over her shoulders. She turns toward a man in a suit who is holding a lighter. He flicks it on, offering the light to her. The woman smokes and smiles.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 stands in a room, holding a cigarette while looking off-screen; a man approaches and lights it for her, and they exchange smiles in a moment of shared connection. The scene is shot in black and white, with a classic film aesthetic.
|
scene_001_A_Streetcar_Named_Desire_(1951)_-_He's_Like_an_Animal_Scene_|_Movieclips
| 5.246183
|
{'frame_00:00.png': 5.508565425872803, 'frame_00:01.png': 5.609285831451416, 'frame_00:02.png': 5.52264404296875, 'frame_00:03.png': 5.525554656982422, 'frame_00:04.png': 5.0669355392456055, 'frame_00:05.png': 4.9889445304870605, 'frame_00:06.png': 4.77155065536499, 'frame_00:07.png': 4.90557336807251, 'frame_00:08.png': 4.899550437927246, 'frame_00:09.png': 4.880445957183838, 'frame_00:10.png': 5.1462016105651855, 'frame_00:11.png': 5.272726535797119, 'frame_00:12.png': 5.403452396392822, 'frame_00:13.png': 5.469424247741699, 'frame_00:14.png': 5.721891403198242}
|
A_Streetcar_Named_Desire_(1951)_-_He's_Like_an_Animal_Scene_|_Movieclips
| 0.013251
| 1.661419
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], '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, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}]}
| 2.133333
| 2.066667
| 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': 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 6: {'raw_counts': {'person': 2, 'surfboard': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.039862
|
[ 1 1 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=yHs5FYRJTQw
|
scene_001
| 1
| 140
| 500
|
00:00:05.839
|
00:00:20.854
| 5.839173
| 20.854188
| 15.015015
| 5.839173
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 sequence shows a sweaty man in a tank top and cap standing near some dilapidated buildings and old equipment. He has dirt smeared on his shirt and an earnest expression on his face as he looks off camera. Later, the scene shifts to a room where two women are having an intense conversation. One is in a frilly nightgown, while the other is in a simpler dressing gown. They appear to be arguing, with worried expressions on their faces and one woman placing a hand on the other's face in a gesture of comfort or concern. The sequence then returns to the man outside, with dramatic lighting emphasizing the sweat and dirt on his body as he pauses near a weathered 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 muscular man in a tank top and cap stands in an outdoor setting, appearing sweaty and grimy, while, inside, two women converse intensely in a bedroom. The scene is shot in black and white, evoking a sense of classic cinema.
|
scene_001_A_Streetcar_Named_Desire_(1951)_-_I'm_the_King_Around_Here_Scene_|_Movieclips
| 5.143686
|
{'frame_00:00.png': 5.090615272521973, 'frame_00:01.png': 5.043252944946289, 'frame_00:02.png': 5.030290126800537, 'frame_00:03.png': 5.08835506439209, 'frame_00:04.png': 5.1779022216796875, 'frame_00:05.png': 5.234859466552734, 'frame_00:06.png': 5.286624908447266, 'frame_00:07.png': 4.990425109863281, 'frame_00:08.png': 5.14521598815918, 'frame_00:09.png': 5.051817417144775, 'frame_00:10.png': 5.280046463012695, 'frame_00:11.png': 5.278158187866211, 'frame_00:12.png': 5.2448601722717285, 'frame_00:13.png': 5.2941083908081055, 'frame_00:14.png': 4.918753147125244}
|
A_Streetcar_Named_Desire_(1951)_-_I'm_the_King_Around_Here_Scene_|_Movieclips
| -0.373911
| 0.729693
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side 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'}]}
| 2.8
| 2.066667
| 0
|
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| -0.000041
|
[-1 1 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=JpNLKb3rHEg
|
scene_001
| 1
| 432
| 792
|
00:00:18.018
|
00:00:33.033
| 18.018018
| 33.033033
| 15.015015
| 18.018018
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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, shot in black and white, depicts a tense conversation between a man and a woman seated at a table. The man, positioned on the left, is seen eating, his focus largely away from the woman. He gestures with a piece of food in his hand as he speaks. The woman on the right appears to be in distress or deep thought, her hands clasped tightly near her chest. A necklace adorns her neck, and she gazes intently at the man. The setting seems to be an indoor dining area, the backdrop consisting of indistinct furniture and decor. The lighting adds to the drama of the scene, casting shadows and highlighting the expressions on their faces, underscoring the serious nature of their interaction.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 dinner table, a man holds up a piece of food, gesturing towards a woman with a smile that gradually fades as she listens. Set in black and white, the scene captures the nuanced shift in emotion amidst a detailed background.
|
scene_001_A_Streetcar_Named_Desire_(1951)_-_Meetings_with_Strangers_Scene_|_Movieclips
| 4.773318
|
{'frame_00:00.png': 4.632223606109619, 'frame_00:01.png': 4.553902626037598, 'frame_00:02.png': 4.910041332244873, 'frame_00:03.png': 4.977267742156982, 'frame_00:04.png': 4.905313491821289, 'frame_00:05.png': 4.918243408203125, 'frame_00:06.png': 4.94631290435791, 'frame_00:07.png': 4.949970722198486, 'frame_00:08.png': 4.945287227630615, 'frame_00:09.png': 4.867074966430664, 'frame_00:10.png': 4.342667579650879, 'frame_00:11.png': 4.03435754776001, 'frame_00:12.png': 4.463435649871826, 'frame_00:13.png': 5.117347240447998, 'frame_00:14.png': 5.036330699920654}
|
A_Streetcar_Named_Desire_(1951)_-_Meetings_with_Strangers_Scene_|_Movieclips
| 0.01095
| 0.633061
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 2.133333
| 1.733333
| 0.066667
|
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| -0.000037
|
[-1 1 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=-TVicuP4BZQ
|
scene_001
| 1
| 995
| 1,355
|
00:00:41.500
|
00:00:56.515
| 41.499833
| 56.514848
| 15.015015
| 41.499833
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 room, a woman with wavy blonde hair and a man stand close together, both holding glasses. The man, positioned slightly behind the woman, gazes intently at her as she looks down with a troubled expression. The camera slowly zooms in, intensifying the emotional tension between them. She turns her head, her expression shifting to one of fear, as she looks up at the man. The man's expression hardens as he speaks, his eyes narrowed. The woman turns away abruptly, her face now filled with distress, and rushes towards a wall where the man reaches for a light switch. He turns to face her, his expression intense, as she looks up at him with a mix of fear 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 man and woman are seen having an intense discussion in a dimly lit room, captured with dramatic lighting, until the man turns and walks toward the door. The woman watches him with a worried expression on her face.
|
scene_001_A_Streetcar_Named_Desire_(1951)_-_Pearls_Before_Swine_Scene_|_Movieclips
| 5.18645
|
{'frame_00:00.png': 5.78328275680542, 'frame_00:01.png': 5.695964813232422, 'frame_00:02.png': 5.259677410125732, 'frame_00:03.png': 5.180031776428223, 'frame_00:04.png': 5.165711402893066, 'frame_00:05.png': 4.943624019622803, 'frame_00:06.png': 5.126001358032227, 'frame_00:07.png': 5.1596360206604, 'frame_00:08.png': 4.624512195587158, 'frame_00:09.png': 4.941208362579346, 'frame_00:10.png': 5.18810510635376, 'frame_00:11.png': 5.085489749908447, 'frame_00:12.png': 5.165700912475586, 'frame_00:13.png': 5.102872371673584, 'frame_00:14.png': 5.374938011169434}
|
A_Streetcar_Named_Desire_(1951)_-_Pearls_Before_Swine_Scene_|_Movieclips
| -0.139767
| 0.314906
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical 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>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical 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, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], '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, Practical 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, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 1.2
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| 0
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| 0.035076
|
[ 1 1 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=pnoNj9OU3_g
|
scene_001
| 1
| 207
| 567
|
00:00:08.634
|
00:00:23.649
| 8.633634
| 23.648649
| 15.015015
| 8.633634
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 scene starts with a close shot of a muscular man in a white tank top, who is eating something from his left hand. The camera shifts to a woman partially dressed in a sheer draped fabric. She is adorned with jewelry, including a tiara. The woman stands in the doorway and continues talking in a dramatic fashion, gesturing with her hands and arms. The woman's attire, including the draped garment and tiara, contribute to a theatrical or historical aesthetic. She appears to be in distress or expressing heightened emotion.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 tank top eats something, while a woman in an elaborate shawl and jewelry looks distressed in an indoor setting with dramatic lighting. The black-and-white footage creates a somber mood.
|
scene_001_A_Streetcar_Named_Desire_(1951)_-_The_Napoleonic_Code_Scene_|_Movieclips
| 4.845165
|
{'frame_00:00.png': 5.102447986602783, 'frame_00:01.png': 5.357904434204102, 'frame_00:02.png': 5.263489723205566, 'frame_00:03.png': 4.236084461212158, 'frame_00:04.png': 4.6140570640563965, 'frame_00:05.png': 4.579675674438477, 'frame_00:06.png': 4.801645278930664, 'frame_00:07.png': 4.723607063293457, 'frame_00:08.png': 4.771714210510254, 'frame_00:09.png': 4.678020477294922, 'frame_00:10.png': 4.967833042144775, 'frame_00:11.png': 4.864937782287598, 'frame_00:12.png': 4.980114936828613, 'frame_00:13.png': 4.505569934844971, 'frame_00:14.png': 4.942519187927246, 'frame_00:15.png': 5.038321495056152, 'frame_00:16.png': 4.8337836265563965, 'frame_00:17.png': 4.875381946563721, 'frame_00:18.png': 4.949703216552734, 'frame_00:19.png': 4.724707126617432, 'frame_00:20.png': 4.886072635650635, 'frame_00:21.png': 4.8960466384887695}
|
A_Streetcar_Named_Desire_(1951)_-_The_Napoleonic_Code_Scene_|_Movieclips
| 0.174672
| 2.575775
|
{'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>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side 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, Side 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>': '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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side 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>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], '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>': 'Left heavy'}], 'frame_00:18.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:19.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:20.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:21.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.954545
| 1.909091
| 0.045455
|
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| 0.039098
|
[-1 1 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=AyBH76_kDYo
|
scene_001
| 1
| 259
| 786
|
00:00:10.802
|
00:00:32.783
| 10.802469
| 32.782783
| 21.980314
| 10.802469
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 monochromatic palette, a man is initially depicted in a state of contemplation, his gaze directed downward, as the camera focuses on his strong, muscular frame clad in a simple t-shirt; the backdrop consists of a window draped with curtains; the scene then shifts as a woman enters the frame, positioned beside the man; she's adorned with a pearl necklace, her hair styled in soft waves; they seem to be in deep discussion, her eyes downcast while he looks on, expressions shifting from concern to animated dialogue. The setting remains intimate, possibly a bedroom with hints of rustic decor.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 stands in a dimly lit room wearing a t-shirt before being joined by a woman in a nightgown who approaches him as they appear to engage in intense dialogue. The pair stand together, their expressions fraught with emotion as they seem to be in the middle of a tense exchange.
|
scene_001_A_Streetcar_Named_Desire_(1951)_-_You_Must_Be_Stanley_Scene_|_Movieclips
| 5.318608
|
{'frame_00:00.png': 5.305884838104248, 'frame_00:01.png': 5.337190628051758, 'frame_00:02.png': 5.3200602531433105, 'frame_00:03.png': 5.6133131980896, 'frame_00:04.png': 5.307858467102051, 'frame_00:05.png': 5.236614227294922, 'frame_00:06.png': 5.194398880004883, 'frame_00:07.png': 5.492297172546387, 'frame_00:08.png': 5.512978553771973, 'frame_00:09.png': 5.55916690826416, 'frame_00:10.png': 5.251378059387207, 'frame_00:11.png': 5.134222030639648, 'frame_00:12.png': 5.108218193054199, 'frame_00:13.png': 5.134243011474609, 'frame_00:14.png': 5.271296501159668}
|
A_Streetcar_Named_Desire_(1951)_-_You_Must_Be_Stanley_Scene_|_Movieclips
| 0.0274
| 0.381826
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side 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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], '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'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial 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'}]}
| 1.733333
| 1
| 0
|
{0: {'raw_counts': {'person': 1, 'bottle': 2, 'potted plant': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 1: {'raw_counts': {'person': 1, 'bottle': 2, 'potted plant': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 2: {'raw_counts': {'person': 1, 'bottle': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'bottle': 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, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 1, 'bottle': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'bottle': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'bottle': 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}}}
| 0.047283
|
[ 1 1 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=djXsEQ5CDOE
|
scene_001
| 1
| 133
| 493
|
00:00:05.547
|
00:00:20.562
| 5.547214
| 20.562229
| 15.015015
| 5.547214
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 stands inside a dimly lit room with patterned curtains hanging near an entrance. He wears a light-colored jacket with dark trim, and his expression appears solemn. A fan sits on a shelf next to a couple of bottles. The camera captures the man from the chest up, with some soft focus around him. A woman appears, wearing a high-necked blouse. The woman's expression changes as she speaks. The man's somber expression remains unchanged.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 jacket looks into the distance as a woman with blond hair looks on at the man in a dimly lit scene. The woman smiles subtly and then starts talking while standing in front of fabric curtains.
|
scene_001_A_Thousand_Words_(2012)_-_Baby_Back_Ribs_Scene_(2_10)_|_Movieclips
| 5.2507
|
{'frame_00:00.png': 5.118741512298584, 'frame_00:01.png': 5.263245582580566, 'frame_00:02.png': 5.62514591217041, 'frame_00:03.png': 5.537981033325195, 'frame_00:04.png': 4.86775541305542, 'frame_00:05.png': 4.94205379486084, 'frame_00:06.png': 5.0953474044799805, 'frame_00:07.png': 5.055780410766602, 'frame_00:08.png': 4.998388290405273, 'frame_00:09.png': 5.697061538696289, 'frame_00:10.png': 5.698770999908447, 'frame_00:11.png': 4.638674736022949, 'frame_00:12.png': 5.1571044921875, 'frame_00:13.png': 5.51384162902832, 'frame_00:14.png': 5.550602912902832}
|
A_Thousand_Words_(2012)_-_Baby_Back_Ribs_Scene_(2_10)_|_Movieclips
| 0.271396
| 0.175561
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.466667
| 0.933333
| 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, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'tie': 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, '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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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, '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, 'tie': 1, 'horse': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 14: {'raw_counts': {'person': 1, 'tie': 1, 'horse': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 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=4vJ6xB6ctaA
|
scene_001
| 1
| 105
| 465
|
00:00:04.379
|
00:00:19.394
| 4.379379
| 19.394394
| 15.015015
| 4.379379
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 looks around with a puzzled expression as he stands underneath a tree with vibrant green leaves, with more trees and a body of water in the distance. The man's skin has a blue tint, and he is wearing a white jacket. Later, another blue-skinned man in a light-colored suit with a maroon shirt and a striped tie looks around. The man appears to be standing outside a modern-looking building with a wall of windows. He seems to be in deep thought as his gaze shifts around the surrounding environment. The first man reappears wearing a white suit while looking upward towards the branches of a leafy tree.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 characters with blue-tinted skin are captured outdoors in a mystical and serene setting and in an indoor, modern setting. They are both portrayed with similar expressions of curiosity and surprise.
|
scene_001_A_Thousand_Words_(2012)_-_Freestyle_Chanting_Scene_(1_10)_|_Movieclips
| 5.46532
|
{'frame_00:00.png': 4.857048511505127, 'frame_00:01.png': 4.879138946533203, 'frame_00:02.png': 4.815732002258301, 'frame_00:03.png': 5.13240385055542, 'frame_00:04.png': 5.511770248413086, 'frame_00:05.png': 5.54664421081543, 'frame_00:06.png': 5.571359157562256, 'frame_00:07.png': 5.791629314422607, 'frame_00:08.png': 5.337591171264648, 'frame_00:09.png': 5.771059989929199, 'frame_00:10.png': 5.736163139343262, 'frame_00:11.png': 5.6519036293029785, 'frame_00:12.png': 5.846978187561035, 'frame_00:13.png': 5.777630805969238, 'frame_00:14.png': 5.752751350402832}
|
A_Thousand_Words_(2012)_-_Freestyle_Chanting_Scene_(1_10)_|_Movieclips
| -0.022079
| 1.588151
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 8.4
| 7.6
| 0
|
{0: {'raw_counts': {'person': 4, 'couch': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 1: {'raw_counts': {'person': 5, 'couch': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 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': 8, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 9}}, 5: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 6: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 7: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 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': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 10: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 11: {'raw_counts': {'person': 10, 'tie': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 12: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 13: {'raw_counts': {'person': 10, 'tie': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 14: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}}
| 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=PurV6BzV3fI
|
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
|
A gathering of people, illuminated by blue light, are seated in meditative poses, eyes closed and faces serene. As the scene progresses, a man in a suit joins them, his expression initially peaceful but gradually contorting into a grimace as he appears to struggle with the meditation. The camera then pans to other people seated around him also doing meditation. Some of the people seem to be having trouble too. The scene ends with the man struggling with his meditation.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 leads a group of people in meditation, all bathed in blue light. The scene evokes a surreal and tranquil atmosphere as the participants engage in synchronized poses and expressions.
|
scene_001_A_Thousand_Words_(2012)_-_Nailed_It_Scene_(6_10)_|_Movieclips
| 4.962723
|
{'frame_00:00.png': 4.911582946777344, 'frame_00:01.png': 4.850338935852051, 'frame_00:02.png': 5.027199745178223, 'frame_00:03.png': 4.771899700164795, 'frame_00:04.png': 4.782328128814697, 'frame_00:05.png': 5.412308216094971, 'frame_00:06.png': 4.896007061004639, 'frame_00:07.png': 5.723005294799805, 'frame_00:08.png': 4.648046016693115, 'frame_00:09.png': 4.0293145179748535, 'frame_00:10.png': 4.722720146179199, 'frame_00:11.png': 4.840253829956055, 'frame_00:12.png': 4.854550361633301, 'frame_00:13.png': 5.496798992156982, 'frame_00:14.png': 5.4744873046875}
|
A_Thousand_Words_(2012)_-_Nailed_It_Scene_(6_10)_|_Movieclips
| 0.429935
| 2.692478
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Yellow, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 5.333333
| 3
| 0.066667
|
{0: {'raw_counts': {'person': 4, 'laptop': 1, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 1: {'raw_counts': {'laptop': 1, 'person': 5, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 2: {'raw_counts': {'person': 4, 'tie': 1, 'laptop': 1, 'chair': 1, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 3: {'raw_counts': {'person': 4, 'laptop': 1, 'tie': 1, 'chair': 1, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 4: {'raw_counts': {'person': 4, 'tie': 1, 'chair': 1, 'laptop': 2, 'mouse': 1, 'total': 9}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 9}}, 5: {'raw_counts': {'person': 1, 'chair': 1, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 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, 'horse': 1, 'laptop': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 10: {'raw_counts': {'person': 5, 'chair': 2, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 11: {'raw_counts': {'person': 6, 'tie': 1, 'chair': 2, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 12: {'raw_counts': {'person': 6, 'tie': 1, 'laptop': 1, 'chair': 1, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 13: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'tie': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}}
| 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=XPsddyf2EcY
|
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
|
A blue-skinned bald man stands in a boardroom speaking to a group of blue-skinned executives seated around a conference table, with large windows behind them revealing a cityscape. The speaker gestures with his hands while the others listen attentively. The camera then cuts to a blue-skinned man in a suit sitting alone at a desk, looking off to the side in contemplation. He drums his fingers on the desk before grabbing his briefcase and leaving the room. The boardroom scene reappears, with the speaker continuing his presentation. The camera cuts again to the blue-skinned man holding a small doll of the bald speaker, looking at it with a surprised 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 meeting takes place in a high-rise office space, bathed in cold blue light. A blue-skinned man dressed in business attire is seen speaking, while other blue-skinned attendees are seated around a conference table listening intently.
|
scene_001_A_Thousand_Words_(2012)_-_Show_Her_That_You_Love_Her_Scene_(9_10)_|_Movieclips
| 5.339865
|
{'frame_00:00.png': 5.501129627227783, 'frame_00:01.png': 5.507646560668945, 'frame_00:02.png': 5.232551097869873, 'frame_00:03.png': 5.4067702293396, 'frame_00:04.png': 5.382498741149902, 'frame_00:05.png': 5.384978294372559, 'frame_00:06.png': 5.207820415496826, 'frame_00:07.png': 5.323130130767822, 'frame_00:08.png': 5.137775897979736, 'frame_00:09.png': 5.094680309295654, 'frame_00:10.png': 5.211366653442383, 'frame_00:11.png': 5.171182155609131, 'frame_00:12.png': 5.350333213806152, 'frame_00:13.png': 5.499895095825195, 'frame_00:14.png': 5.68621826171875}
|
A_Thousand_Words_(2012)_-_Show_Her_That_You_Love_Her_Scene_(9_10)_|_Movieclips
| 0.03957
| 0.117276
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Top light, Edge 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'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], '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, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.4
| 2.666667
| 0.2
|
{0: {'raw_counts': {'dog': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'dog': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 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, 'car': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}, 9: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 10: {'raw_counts': {'person': 3, 'cup': 1, 'bowl': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 11: {'raw_counts': {'person': 3, 'cup': 1, 'bottle': 1, 'bowl': 1, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 6}}, 12: {'raw_counts': {'person': 4, 'bottle': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 13: {'raw_counts': {'person': 3, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.08724
|
[ 1 1 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=Nuwu9VTP3Ak
|
scene_001
| 1
| 57
| 417
|
00:00:02.377
|
00:00:17.392
| 2.377377
| 17.392392
| 15.015015
| 2.377377
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 diner, two blue-skinned men are engaged in an intense conversation. Initially, one man is looking at the other with a serious expression, with some shots revealing bared teeth, possibly in anger or frustration. His counterpart, also blue-skinned, listens intently with a concerned expression. As the scene progresses, the man's expression softens slightly, and he reaches out to touch the other man's hand, who is leaning forward with his head bowed and resting on his clasped hands. The diner setting is visible in the background, with blue booths and other patrons, also blue-skinned, scattered around. The lighting throughout the scene is cool and subdued, contributing to the serious 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
|
Two blue-skinned men are captured in a diner, the first is visibly angry and clenches his teeth as the second man attempts to calm him down with soft words and a gentle touch. The scene is lit with a cool, blue hue which gives an eerie glow to the diner.
|
scene_001_A_Thousand_Words_(2012)_-_Squirrels_in_My_Pants_Scene_(5_10)_|_Movieclips
| 5.04357
|
{'frame_00:00.png': 5.278861045837402, 'frame_00:01.png': 5.4342546463012695, 'frame_00:02.png': 5.015641212463379, 'frame_00:03.png': 5.402143478393555, 'frame_00:04.png': 5.028006553649902, 'frame_00:05.png': 5.038063049316406, 'frame_00:06.png': 4.889092445373535, 'frame_00:07.png': 5.094001770019531, 'frame_00:08.png': 4.611550807952881, 'frame_00:09.png': 4.865779399871826, 'frame_00:10.png': 4.776595115661621, 'frame_00:11.png': 4.629635334014893, 'frame_00:12.png': 5.178744316101074, 'frame_00:13.png': 4.95517635345459, 'frame_00:14.png': 5.4560065269470215}
|
A_Thousand_Words_(2012)_-_Squirrels_in_My_Pants_Scene_(5_10)_|_Movieclips
| -0.350787
| 0.145536
|
{'frame_00:00.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 5.733333
| 4.066667
| 0.066667
|
{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': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 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, 'sports ball': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 4: {'raw_counts': {'person': 6, 'tie': 3, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 5: {'raw_counts': {'person': 6, 'tie': 2, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 6: {'raw_counts': {'person': 5, 'tie': 3, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 7: {'raw_counts': {'person': 7, 'tie': 2, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 9}}, 8: {'raw_counts': {'person': 6, 'tie': 2, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 9: {'raw_counts': {'person': 6, 'tie': 3, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 12: {'raw_counts': {'person': 4, 'tie': 3, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 13: {'raw_counts': {'person': 5, 'tie': 3, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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=B2KSjVAskxM
|
scene_001
| 1
| 82
| 442
|
00:00:03.420
|
00:00:18.435
| 3.420087
| 18.435102
| 15.015015
| 3.420087
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 showcases a group of individuals, all exhibiting a striking blue hue, engaged in various interactions within a brightly lit, contemporary office setting. A man in a suit, distinguished by his blue skin and a contrasting pink tie, directs his gaze upward with an expression of surprise, while another blue-skinned man with longer hair looks on with a curious expression. As the scene progresses, the camera shifts to a woman, also blue, in a purple top, speaking with animation, with a blurred figure partially visible to her left. Transitioning back, the initial man is now accompanied by two other blue men, one holding a yellow folder, as they collectively engage in a conversation with an unseen person, their faces conveying amusement and interest. The scene then cuts to a shot of the woman speaking, alongside two of the blue men, one in a white suit, creating a composition of diverse colors and textures against the backdrop of the modern office environment. The concluding shot presents the three blue men, again with a sense of camaraderie, followed by a final close-up of the woman, whose blue skin and attire provide a unique aesthetic contrast, completing the depiction of this unusual and vibrant 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
|
Several blue-skinned individuals are engaged in a business meeting-like setting, exhibiting various expressions and interactions. The scene appears to be professionally lit, highlighting the artificial skin tones of the characters.
|
scene_001_A_Thousand_Words_(2012)_-_Talk_Dirty_to_Me_Scene_(7_10)_|_Movieclips
| 4.93335
|
{'frame_00:00.png': 5.5632643699646, 'frame_00:01.png': 5.499666213989258, 'frame_00:02.png': 4.497531890869141, 'frame_00:03.png': 4.553884506225586, 'frame_00:04.png': 4.545269966125488, 'frame_00:05.png': 4.663214683532715, 'frame_00:06.png': 5.208575248718262, 'frame_00:07.png': 5.0823893547058105, 'frame_00:08.png': 4.955326557159424, 'frame_00:09.png': 5.155312538146973, 'frame_00:10.png': 4.956283092498779, 'frame_00:11.png': 4.840149402618408, 'frame_00:12.png': 4.698156356811523, 'frame_00:13.png': 4.881381034851074, 'frame_00:14.png': 4.899847984313965}
|
A_Thousand_Words_(2012)_-_Talk_Dirty_to_Me_Scene_(7_10)_|_Movieclips
| 0.197316
| 0.571354
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Cyan'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Cyan'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<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, Yellow'}, {'<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>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 4.066667
| 1.866667
| 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': 1, 'bottle': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'bottle': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 3, 'chair': 5, 'tv': 1, 'bed': 1, 'total': 10}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 7, 'total': 10}}, 7: {'raw_counts': {'person': 1, 'chair': 2, 'bed': 1, 'bottle': 1, 'bowl': 1, 'couch': 1, 'total': 7}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 7}}, 8: {'raw_counts': {'person': 3, 'bottle': 3, 'chair': 1, 'bowl': 1, 'total': 8}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 8}}, 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, 'bottle': 2, 'bowl': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 11: {'raw_counts': {'person': 2, 'chair': 1, 'tv': 1, 'bottle': 2, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 12: {'raw_counts': {'person': 2, 'chair': 1, 'couch': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 13: {'raw_counts': {'chair': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 0.117949
|
[ 1 1 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_cE7WEW5gM
|
scene_001
| 1
| 303
| 663
|
00:00:12.638
|
00:00:27.653
| 12.637638
| 27.652653
| 15.015015
| 12.637638
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 mustache looks into a room with wide eyes, illuminated by a blue light that casts a cool tone over the entire scene. As he enters the room, he begins to unbutton his shirt. The room is adorned with numerous candles, creating an intimate and eerie atmosphere. A woman stands in the center of the room, dressed in elaborate attire with metallic accents, her skin also tinted blue by the lighting. The man approaches the woman, continuing to remove his shirt. The scene, saturated with blue light, focuses on their interaction in the candlelit room, the man increasingly undressed as he gets closer to the woman.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 enters a room and begins to undress as he encounters a scantily clad blue-skinned woman. The pair then engage in a conversation in a blue-lit, candle-filled room.
|
scene_001_A_Thousand_Words_(2012)_-_Triple_Shot,_No_Assassinations_Scene_(3_10)_|_Movieclips
| 5.506917
|
{'frame_00:00.png': 5.5166401863098145, 'frame_00:01.png': 5.549903392791748, 'frame_00:02.png': 5.5231475830078125, 'frame_00:03.png': 5.677698612213135, 'frame_00:04.png': 5.730174541473389, 'frame_00:05.png': 5.510129928588867, 'frame_00:06.png': 5.211462497711182, 'frame_00:07.png': 5.178492069244385, 'frame_00:08.png': 5.695500373840332, 'frame_00:09.png': 5.4969892501831055, 'frame_00:10.png': 5.471210479736328, 'frame_00:11.png': 5.686402320861816, 'frame_00:12.png': 5.271880149841309, 'frame_00:13.png': 5.517570495605469, 'frame_00:14.png': 5.566551208496094}
|
A_Thousand_Words_(2012)_-_Triple_Shot,_No_Assassinations_Scene_(3_10)_|_Movieclips
| -0.086358
| 0.334339
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 3.133333
| 2.4
| 0
|
{0: {'raw_counts': {'person': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_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': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 4: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 5: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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, '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, 'oven': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 11: {'raw_counts': {'person': 3, 'oven': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 12: {'raw_counts': {'person': 3, 'tie': 1, 'handbag': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 13: {'raw_counts': {'person': 4, 'handbag': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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=8rX7fkDLEx0
|
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
|
The scene unfolds with a blue-skinned individual sporting a Starbucks uniform, complete with a green apron and cap, standing behind a service counter, actively engaging with another blue-skinned person wearing a white suit and brown tie, who is positioned across the counter; a Starbucks menu board is mounted on the black-tiled wall behind the counter. Transitioning to a broader view, the suited blue-skinned individual stands in front of large glass doors with people passing outside, gesturing with his hands, first holding up two fingers in a peace sign, then dramatically fanning out his hands, switching back to the coffee shop, with the barista and the customer, now both blue-skinned, still in the middle of their conversation, before concluding with a final image of the man in the suit standing in front of the glass doors, still looking directly at the camera.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 light suit stands in front of an office building, while a man in a Starbucks uniform engages in conversation in a scene featuring blue lighting. A person walks in the background of the scene with an eerie blue hue.
|
scene_001_A_Thousand_Words_(2012)_-_You_Found_My_Furry_Tapes_Scene_(4_10)_|_Movieclips
| 4.836414
|
{'frame_00:00.png': 5.283324241638184, 'frame_00:01.png': 4.8906402587890625, 'frame_00:02.png': 5.164397239685059, 'frame_00:03.png': 4.444715976715088, 'frame_00:04.png': 4.395605087280273, 'frame_00:05.png': 5.578610420227051, 'frame_00:06.png': 4.749495506286621, 'frame_00:07.png': 4.88428258895874, 'frame_00:08.png': 4.432636737823486, 'frame_00:09.png': 4.740530967712402, 'frame_00:10.png': 4.907511234283447, 'frame_00:11.png': 4.799507141113281, 'frame_00:12.png': 4.837335109710693, 'frame_00:13.png': 4.8625993728637695, 'frame_00:14.png': 4.575021743774414}
|
A_Thousand_Words_(2012)_-_You_Found_My_Furry_Tapes_Scene_(4_10)_|_Movieclips
| 0.139846
| 0.049276
|
{'frame_00:00.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 4.266667
| 1.6
| 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': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 3: {'raw_counts': {'bottle': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 4: {'raw_counts': {'person': 1, 'bottle': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'bottle': 1, 'tie': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 6: {'raw_counts': {'person': 2, 'remote': 1, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, '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': {'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, 'chair': 4, 'couch': 1, 'tv': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 11: {'raw_counts': {'person': 2, 'chair': 3, 'couch': 1, 'tv': 1, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}, 12: {'raw_counts': {'person': 2, 'chair': 4, 'tv': 1, 'couch': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 13: {'raw_counts': {'person': 1, 'chair': 1, 'tv': 2, 'couch': 1, 'dining table': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 14: {'raw_counts': {'person': 2, 'tie': 1, 'chair': 2, 'couch': 1, 'tv': 2, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}}
| 0.127904
|
[ 1 1 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=6AJH6b91rF8
|
scene_001
| 1
| 91
| 451
|
00:00:03.795
|
00:00:18.810
| 3.795462
| 18.810477
| 15.015015
| 3.795462
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 blue-walled office, a man with blue skin and wearing a light suit and brown shirt stands looking surprised. He touches his neck. The camera cuts to another man, also with blue skin and wearing a brown suit, holding papers and gesturing as he speaks. The first man removes his jacket. The camera pans to a shelf with photos and awards before following the first man as he walks deeper into the office, removes his jacket completely, and stands next to the second man, who is holding papers. They appear to be in conversation as they walk toward a desk with a modern sculpture on it.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it 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 blue-skinned men wearing suits interact in an office space, where one of them removes his blazer during the conversation. They walk toward a doorway in the office.
|
scene_001_A_View_To_a_Kill_Movie_CLIP_-_Buying_or_Selling_(1985)_HD
| 4.72937
|
{0: 5.079649925231934, 1: 4.280629634857178, 2: 4.641371250152588, 3: 4.749730587005615, 4: 4.491960525512695, 5: 4.800105571746826, 6: 4.304410457611084, 7: 4.396740913391113, 8: 4.856175422668457, 9: 4.9918413162231445, 10: 4.96030855178833, 11: 4.911564826965332, 12: 4.59157133102417, 13: 4.861708164215088, 14: 5.022785186767578}
|
A_View_To_a_Kill_Movie_CLIP_-_Buying_or_Selling_(1985)_HD
| -0.237969
| 8.351642
|
{0: [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 1: [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 2: [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 3: [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 4: [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 5: [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 6: [{'<COLOR>': 'Cool, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 7: [{'<COLOR>': 'Cool, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 8: [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 9: [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 10: [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 11: [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 12: [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 13: [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 14: [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 11.466667
| 9.733333
| 0
|
{0: {'raw_counts': {'person': 12, 'tie': 1, 'total': 13}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 13}}, 1: {'raw_counts': {'person': 10, 'tie': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 2: {'raw_counts': {'person': 11, 'tie': 1, 'total': 12}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 12}}, 3: {'raw_counts': {'person': 14, 'total': 14}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 14}}, 4: {'raw_counts': {'person': 9, 'tie': 3, 'cell phone': 1, 'total': 13}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 13}}, 5: {'raw_counts': {'person': 10, 'tie': 3, 'total': 13}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 13}}, 6: {'raw_counts': {'person': 6, 'umbrella': 2, 'potted plant': 1, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 7: {'raw_counts': {'person': 6, 'umbrella': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 8: {'raw_counts': {'person': 11, 'tie': 2, 'chair': 1, 'total': 14}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 14}}, 9: {'raw_counts': {'person': 12, 'tie': 2, 'total': 14}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 14}}, 10: {'raw_counts': {'person': 9, 'tie': 2, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 11}}, 11: {'raw_counts': {'person': 11, 'tie': 2, 'total': 13}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 13}}, 12: {'raw_counts': {'person': 8, 'tie': 2, 'total': 10}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 10}}, 13: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 14: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}}
| 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=eLOVOy0CCv8
|
scene_001
| 1
| 410
| 770
|
00:00:17.100
|
00:00:32.115
| 17.100434
| 32.115449
| 15.015015
| 17.100434
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 people stands at a formal gathering. The scene is monochromatic in blue. Many of the people are in dark suits or formal gowns, and some are wearing headdresses. Two men in black suits are engaged in conversation, while other people stand nearby, some with champagne glasses. One person wears a dark head covering and dress. There is decorative shrubbery and busts in the background. Two people embrace on a balcony in the background. One person stands with a blank stare between the two men in suits who are conversing.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 group of blue-skinned people dressed in formal attire gather indoors, animatedly conversing with one another in a high-society setting. The scene is captured under cool lighting, offering a stylized portrayal of an elite gathering.
|
scene_001_A_View_To_a_Kill_Movie_CLIP_-_Skyship_(1985)_HD
| 4.87483
|
{0: 4.827455520629883, 1: 4.345048904418945, 2: 5.2208147048950195, 3: 5.058714866638184, 4: 5.373797416687012, 5: 4.213231563568115, 6: 4.3357720375061035, 7: 4.477064609527588, 8: 4.40005350112915, 9: 5.167442321777344, 10: 5.460362911224365, 11: 4.976016521453857, 12: 5.164601802825928, 13: 4.917726516723633, 14: 5.184343338012695}
|
A_View_To_a_Kill_Movie_CLIP_-_Skyship_(1985)_HD
| -0.644236
| 3.138365
|
{0: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 1: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 2: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 3: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 4: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 5: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 6: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 7: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 8: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 9: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 10: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 11: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 12: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 13: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 14: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 5.2
| 3.266667
| 0
|
{0: {'raw_counts': {'person': 5, 'tie': 4, 'total': 9}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 9}}, 1: {'raw_counts': {'person': 6, 'tie': 4, 'laptop': 1, 'total': 11}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 11}}, 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': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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': 5, 'tie': 3, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 6: {'raw_counts': {'person': 5, 'tie': 3, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 7: {'raw_counts': {'person': 5, 'tie': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 8: {'raw_counts': {'person': 5, 'tie': 3, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 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': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 0.109036
|
[ 1 1 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=VEGSjiQq998
|
scene_001
| 1
| 175
| 535
|
00:00:07.299
|
00:00:22.314
| 7.298966
| 22.313981
| 15.015015
| 7.298966
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 suits sit around a large table in what appears to be a conference room. The men are illuminated with dramatic, blue-toned lighting. One man sits facing the camera with papers in his hands as he looks up and appears to be speaking. Another man sits to his right with a mustache, looking forward and listening. In another scene, a man in a suit stands in a hallway, talking. A woman in a suit with a severe hairstyle stands behind him, listening. The lighting is again a strong blue hue. The man speaking gestures with his hands as he talks.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 depict several individuals with blue skin tones, possibly representing aliens, gathered in a formal setting. In another set of frames, an alien male, standing in a suit, converses with someone off-screen, while a blue-skinned woman stands guard behind him.
|
scene_001_A_Woman_in_a_Man's_Profession_-_Shakespeare_in_Love_(6_8)_Movie_CLIP_(1998)_HD
| 4.527679
|
{0: 4.688354969024658, 1: 4.750360012054443, 2: 4.380577087402344, 3: 4.839933395385742, 4: 4.62562370300293, 5: 4.39870023727417, 6: 4.57143497467041, 7: 4.447051048278809, 8: 3.8255953788757324, 9: 4.9338250160217285, 10: 4.572619438171387, 11: 4.753669261932373, 12: 4.020270347595215, 13: 4.536906719207764, 14: 4.570263385772705}
|
A_Woman_in_a_Man's_Profession_-_Shakespeare_in_Love_(6_8)_Movie_CLIP_(1998)_HD
| 0.254013
| 8.15436
|
{0: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 1: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 2: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 3: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 4: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 5: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 6: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 7: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 8: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 9: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 10: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 11: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 12: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 13: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 14: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 2.6
| 2.466667
| 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, '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': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 5: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 6: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 7: {'raw_counts': {'teddy bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': 5, 'horse': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| -0.006679
|
[ 1 1 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=o_KXbKa2crI
|
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
|
The scene depicts a play performance within a grand theater filled with a diverse audience, capturing their reactions. The theater has multi-tiered seating. The audience appears in period clothing, applauding the play. The focal point of the scene is the stage, where several actors dressed in elaborate costumes take their bows, acknowledging the enthusiastic reception from the audience. The lighting casts a dramatic blue hue over the scene. Transitioning away from the theater performance, the scene shifts to what looks like a royal court, where individuals, also painted blue, are gathered. A noble figure, adorned in a hat and cloak, engages with a person clad in white. Guards stand to attention, holding spears, adding to the atmosphere of formality.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 dressed in period costumes gathers on a stage to the applause of the audience, while the guards are standing still. Everyone is painted blue.
|
scene_001_Abominable_(2019)_-_Bridge_Battle_Scene_(9_10)_|_Movieclips
| 4.892334
|
{'frame_00:00.png': 4.662715911865234, 'frame_00:01.png': 4.959282875061035, 'frame_00:02.png': 5.325170040130615, 'frame_00:03.png': 5.421350479125977, 'frame_00:04.png': 4.94238805770874, 'frame_00:05.png': 4.744850158691406, 'frame_00:06.png': 4.601475715637207, 'frame_00:07.png': 4.867076396942139, 'frame_00:08.png': 5.591562747955322, 'frame_00:09.png': 4.946557998657227, 'frame_00:10.png': 4.927648544311523, 'frame_00:11.png': 4.490754127502441, 'frame_00:12.png': 4.476996421813965, 'frame_00:13.png': 4.884058475494385, 'frame_00:14.png': 4.54311466217041}
|
Abominable_(2019)_-_Bridge_Battle_Scene_(9_10)_|_Movieclips
| -0.168881
| 1.383045
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 4.066667
| 3.533333
| 0.466667
|
{0: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 1: {'raw_counts': {'person': 7, 'bird': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 2: {'raw_counts': {'person': 5, 'dog': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 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': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 5: {'raw_counts': {'person': 6, 'chair': 1, 'dog': 1, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 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': 4, 'bird': 1, 'horse': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 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': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 11: {'raw_counts': {'bird': 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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 14: {'raw_counts': {'cat': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.003786
|
[ 1 1 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=GU1zIn2BRN0
|
scene_001
| 1
| 44
| 404
|
00:00:01.835
|
00:00:16.850
| 1.835169
| 16.850184
| 15.015015
| 1.835169
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 furry, white creature with gray skin and large, expressive eyes appears frightened as it stands on a snow-covered wooden bridge, with two small, blue-skinned figures partially visible in front of it; a large group of dark figures is visible on the bridge behind them. The camera angle shifts, revealing the bridge's construction and the misty, orange-hued chasm below, as the crowd of blue figures is menacingly approaching. A group of taller, blue-skinned humanoids exits vehicles in a gritty, urban setting with dramatic lighting, they seem to be in pursuit. The white creature's expression shifts to determination as it faces the approaching crowd, and it begins to charge down the bridge in a flurry of movement. Captured in close-up, the creature's furry form and the snow-covered planks of the bridge are blurred as it picks up speed, heading towards the unseen end of the bridge.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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, furry creature and two smaller figures are walking across a bridge, seeming to be pursued by a group of humanoid figures who appear menacing. They hurry across the bridge, leaving the group behind.
|
scene_001_Abominable_(2019)_-_Drone_Attack_Scene_(4_10)_|_Movieclips
| 5.330332
|
{'frame_00:00.png': 5.174649238586426, 'frame_00:01.png': 4.622650146484375, 'frame_00:02.png': 5.173577308654785, 'frame_00:03.png': 5.773702621459961, 'frame_00:04.png': 5.443051338195801, 'frame_00:05.png': 5.255732536315918, 'frame_00:06.png': 5.199917793273926, 'frame_00:07.png': 5.416119575500488, 'frame_00:08.png': 5.444087028503418, 'frame_00:09.png': 5.467190742492676, 'frame_00:10.png': 5.327055931091309, 'frame_00:11.png': 5.328836441040039, 'frame_00:12.png': 5.4162445068359375, 'frame_00:13.png': 5.274458885192871, 'frame_00:14.png': 5.6377058029174805}
|
Abominable_(2019)_-_Drone_Attack_Scene_(4_10)_|_Movieclips
| 0.114
| 2.412125
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Red, Yellow, Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 1.4
| 1.333333
| 0
|
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| 0.035571
|
[ 1 1 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=rRUVmTXpPyg
|
scene_001
| 1
| 87
| 447
|
00:00:03.629
|
00:00:18.644
| 3.628629
| 18.643644
| 15.015015
| 3.628629
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 serene forest scene unfolds with dandelions scattered amidst lush greenery, softly illuminated by the gentle light. A blue-skinned boy carefully plucks a dandelion and presents it to a large, friendly-looking white creature resembling a yeti. The yeti looks down at the boy with a curious and gentle expression. As the yeti gazes into the distance, two more blue-skinned characters appear on a path atop mountains shrouded in mist, creating a sense of adventure and exploration. One sits down and the other one is standing still looking at the surrounding nature. The camera then shifts, showing a blue-skinned boy. He seems lost in thought as he looks back, ending the scene with a contemplative and uncertain mood.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 small blue-skinned boy picks a dandelion and offers it to a large, furry white creature. The boy and creature look out at a mountainous landscape shrouded in mist as other characters approach.
|
scene_001_Abominable_(2019)_-_Magic_Boat_Chase_Scene_(7_10)_|_Movieclips
| 4.814129
|
{'frame_00:00.png': 4.066168308258057, 'frame_00:01.png': 4.319701671600342, 'frame_00:02.png': 4.913605690002441, 'frame_00:03.png': 5.165555000305176, 'frame_00:04.png': 4.463675022125244, 'frame_00:05.png': 4.531615734100342, 'frame_00:06.png': 5.169946670532227, 'frame_00:07.png': 5.20461368560791, 'frame_00:08.png': 4.491060733795166, 'frame_00:09.png': 4.284063339233398, 'frame_00:10.png': 4.487821578979492, 'frame_00:11.png': 4.7964091300964355, 'frame_00:12.png': 5.282094955444336, 'frame_00:13.png': 5.5281877517700195, 'frame_00:14.png': 5.507413864135742}
|
Abominable_(2019)_-_Magic_Boat_Chase_Scene_(7_10)_|_Movieclips
| -0.081917
| 0.874383
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Green, Blue, White'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Saturated, Green, Cyan, Blue, White'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Red, Green, Cyan, Blue, White'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Red, Green, Blue, White'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 1.133333
| 0.6
| 0.066667
|
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| 0.003786
|
[ 1 1 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=LCj92toBBBE
|
scene_001
| 1
| 103
| 463
|
00:00:04.296
|
00:00:19.311
| 4.295963
| 19.310978
| 15.015015
| 4.295963
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 foot pressing down hard on the gas pedal of a large military vehicle, followed by a wide shot showing the vehicle speeding through a town towards a river, seen from the perspective of the vehicle's occupants. The vehicle continues speeding directly into the river, creating a massive splash. The perspective shifts to show the vehicle from the outside, as it continues moving through the water, creating waves and churning up the river. A small boat with multiple animated figures appears in the scene, watching the massive vehicle advance. The figures in the boat exhibit expressions of fear and surprise. The scene is brightly lit, with an orange-tinged sky and vivid, slightly unnatural colors in the landscape.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 giant truck drives into the river, creating a large splash, while a small boat with three blue people and a Yeti watch in shock. The scene is brightly lit with a cartoonish quality.
|
scene_001_Abominable_(2019)_-_Meeting_Everest_Scene_(1_10)_|_Movieclips
| 4.819206
|
{'frame_00:00.png': 4.814322471618652, 'frame_00:01.png': 4.8786845207214355, 'frame_00:02.png': 4.814929485321045, 'frame_00:03.png': 5.443634986877441, 'frame_00:04.png': 4.393458366394043, 'frame_00:05.png': 4.462870121002197, 'frame_00:06.png': 5.172404766082764, 'frame_00:07.png': 4.874239921569824, 'frame_00:08.png': 5.145936012268066, 'frame_00:09.png': 4.98504114151001, 'frame_00:10.png': 4.494704246520996, 'frame_00:11.png': 4.377064228057861, 'frame_00:12.png': 4.411935806274414, 'frame_00:13.png': 5.143228530883789, 'frame_00:14.png': 4.875634670257568}
|
Abominable_(2019)_-_Meeting_Everest_Scene_(1_10)_|_Movieclips
| -0.085943
| 0.396125
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Blue, Magenta'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Red, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], '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, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 0.866667
| 0.533333
| 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 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': {'person': 1, 'truck': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 8: {'raw_counts': {'train': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, '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': {'tv': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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, 'dog': 1, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 0.019372
|
[ 1 1 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=A-Ckh0slywY
|
scene_001
| 1
| 74
| 434
|
00:00:03.086
|
00:00:18.101
| 3.08642
| 18.101435
| 15.015015
| 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
|
The scene unfolds on a rooftop at night, revealing an animated cityscape in the background; the initial wide shot shows figures standing near a makeshift shelter, while a helicopter marked with "BURNISH INDUSTRIES" approaches; the focus shifts to a young girl, who drops a violin case, the helicopter's presence causes her to fall to the ground; recovering, she spots the case and reaches for it. The girl is seen both prone and sitting up on the rooftop, with a melancholic expression, as she interacts with the violin case.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 small girl drops her violin case on a rooftop during a raid by a helicopter marked "Burnish Industries" in a darkened urban area. The scene conveys a sense of loss and vulnerability amidst the looming cityscape.
|
scene_001_Abominable_(2019)_-_The_Magic_Violin_Scene_(8_10)_|_Movieclips
| 5.509747
|
{'frame_00:00.png': 5.530084133148193, 'frame_00:01.png': 5.868207931518555, 'frame_00:02.png': 5.801939010620117, 'frame_00:03.png': 5.5683979988098145, 'frame_00:04.png': 5.791748046875, 'frame_00:05.png': 5.757297515869141, 'frame_00:06.png': 5.567639350891113, 'frame_00:07.png': 5.472115516662598, 'frame_00:08.png': 5.707293510437012, 'frame_00:09.png': 5.333571910858154, 'frame_00:10.png': 5.312230110168457, 'frame_00:11.png': 5.315526962280273, 'frame_00:12.png': 5.231250762939453, 'frame_00:13.png': 5.257717132568359, 'frame_00:14.png': 5.131178855895996}
|
Abominable_(2019)_-_The_Magic_Violin_Scene_(8_10)_|_Movieclips
| 1.457519
| 0.312324
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 1.666667
| 1.066667
| 0.466667
|
{0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'person': 1, 'elephant': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': 1, 'elephant': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, '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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 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, 'surfboard': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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, 'bird': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'bird': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 1, 'bird': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'teddy bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'teddy bear': 1, 'sports ball': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, '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}}}
| 0.035571
|
[ 1 1 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=chvjkV0jRh8
|
scene_001
| 1
| 101
| 461
|
00:00:04.213
|
00:00:19.228
| 4.212546
| 19.227561
| 15.015015
| 4.212546
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 animated scene depicts a group of characters navigating a landscape dominated by colossal stone hands, overgrown with moss and vegetation. The hands, weathered and aged, suggest the remnants of a massive, long-forgotten statue. One character, small in comparison to the surroundings, walks across the surface of a hand, exploring the terrain, while two others are visible on a more distant hand. As the camera angle shifts, a character with blue skin stands on a mossy plain, her expression a mix of curiosity and apprehension. She is accompanied by a furry, white creature with large eyes. The scene transitions to reveal the massive stone head of a Buddha statue. The camera zooms in to a close-up of the blue-skinned character as she continues to explore the surreal environment with a look of wonder on her face. The lighting casts warm tones across the landscape, enhancing the sense of mystery and adventure.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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
|
Animated characters are seen standing on a massive stone hand covered with moss, in front of a giant statue of Buddha. A humanoid alien girl looks upwards with an awed expression, as a fluffy white creature watches her.
|
scene_001_Abominable_(2019)_-_Yak_Attack!_Scene_(6_10)_|_Movieclips
| 5.28769
|
{'frame_00:00.png': 4.261094570159912, 'frame_00:01.png': 5.518312454223633, 'frame_00:02.png': 5.534294128417969, 'frame_00:03.png': 5.4939398765563965, 'frame_00:04.png': 5.815108299255371, 'frame_00:05.png': 5.839214324951172, 'frame_00:06.png': 5.175207138061523, 'frame_00:07.png': 5.252758979797363, 'frame_00:08.png': 4.963109016418457, 'frame_00:09.png': 5.51540470123291, 'frame_00:10.png': 5.572745323181152, 'frame_00:11.png': 4.675906658172607, 'frame_00:12.png': 5.502408981323242, 'frame_00:13.png': 5.435521125793457, 'frame_00:14.png': 4.7603230476379395}
|
Abominable_(2019)_-_Yak_Attack!_Scene_(6_10)_|_Movieclips
| -0.052348
| 1.572
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 5.266667
| 4.133333
| 0.333333
|
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| 0.048099
|
[ 1 1 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=eNCK08cInIE
|
scene_001
| 1
| 147
| 507
|
00:00:06.131
|
00:00:21.146
| 6.131131
| 21.146146
| 15.015015
| 6.131131
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 young girl and boy peek out from behind a blue door, their eyes wide with curiosity as they observe the bustling town square filled with similar-skinned people and yaks; the camera follows their gaze, revealing the lively scene before returning to the children and a fluffy white creature; all three exit the doorway, the girl grabbing a bicycle and the boy running alongside her, the white creature following behind; the girl walks with her bicycle.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 children hesitantly open a door to peer into a bustling town square full of other blue-skinned individuals and yak-like creatures, then emerge accompanied by a large, furry, white being. The girl then rides a bike in slow motion, expressing disappointment.
|
scene_001_About_Time_(2013)_-_A_Friend_Who_Is_a_Girl_Scene_(4_10)_|_Movieclips
| 5.061754
|
{'frame_00:00.png': 5.2249956130981445, 'frame_00:01.png': 5.440552711486816, 'frame_00:02.png': 5.531448841094971, 'frame_00:03.png': 5.3061017990112305, 'frame_00:04.png': 5.158955097198486, 'frame_00:05.png': 4.700666904449463, 'frame_00:06.png': 4.720630168914795, 'frame_00:07.png': 5.126129150390625, 'frame_00:08.png': 5.394765377044678, 'frame_00:09.png': 5.218512058258057, 'frame_00:10.png': 4.85055685043335, 'frame_00:11.png': 4.9870147705078125, 'frame_00:12.png': 4.616764068603516, 'frame_00:13.png': 4.29827356338501, 'frame_00:14.png': 5.350950241088867}
|
About_Time_(2013)_-_A_Friend_Who_Is_a_Girl_Scene_(4_10)_|_Movieclips
| -0.116666
| 1.238541
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], '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, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left 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'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 6.133333
| 5.466667
| 0.066667
|
{0: {'raw_counts': {'person': 5, 'tie': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 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': 7, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 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': 7, 'tv': 1, 'teddy bear': 1, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 9}}, 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': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 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': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 9: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 10: {'raw_counts': {'person': 9, 'tie': 1, 'suitcase': 1, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 11}}, 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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': 7, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}}
| 0.076052
|
[ 1 1 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=_oygxA1aaRU
|
scene_001
| 1
| 175
| 535
|
00:00:07.299
|
00:00:22.314
| 7.298966
| 22.313981
| 15.015015
| 7.298966
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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, bluish light, creating an otherworldly atmosphere as a crowd of similarly hued people mill about. In the foreground, two men stand out; one taller, wearing an orange sweater and a coat slung over his shoulder, and the other shorter, with curly hair, in a suit. The shorter man gestures animatedly, seemingly directing the taller man's attention. As the scene progresses, a blonde woman, also tinted blue, laughs as she speaks to someone off-screen. The camera follows her briefly, then returns to the two men, capturing their expressions as the shorter man puts his arm around the taller man's shoulders, continuing their conversation amidst the blue-tinted crowd.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 group of people is blue-toned and are crowded together, with one woman in the background smiling and talking animatedly. Two men stand out in the foreground, with one of them gesturing as they converse.
|
scene_001_About_Time_(2013)_-_Best_Man_Speeches_Scene_(7_10)_|_Movieclips
| 5.103355
|
{'frame_00:00.png': 5.511155128479004, 'frame_00:01.png': 5.4112043380737305, 'frame_00:02.png': 5.429483890533447, 'frame_00:03.png': 5.322464942932129, 'frame_00:04.png': 4.816906929016113, 'frame_00:05.png': 4.72341251373291, 'frame_00:06.png': 5.029526710510254, 'frame_00:07.png': 4.828108310699463, 'frame_00:08.png': 4.718968868255615, 'frame_00:09.png': 4.758033275604248, 'frame_00:10.png': 5.34404182434082, 'frame_00:11.png': 5.469607830047607, 'frame_00:12.png': 5.339300632476807, 'frame_00:13.png': 5.201322555541992, 'frame_00:14.png': 4.646785259246826}
|
About_Time_(2013)_-_Best_Man_Speeches_Scene_(7_10)_|_Movieclips
| 0.085428
| 1.829659
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 6.866667
| 4.866667
| 0
|
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| 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=x_Dephm0Z9I
|
scene_001
| 1
| 84
| 444
|
00:00:03.504
|
00:00:18.519
| 3.503504
| 18.518519
| 15.015015
| 3.503504
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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
|
Attentive faces gaze forward, filling the frame with anticipation; a woman with auburn hair smiles warmly, seated next to a man in a mustard-colored suit who also sports a slight grin, their expressions mirroring the excitement in the room. The group is lit with cool, slightly blue-toned lighting, giving an ethereal quality to the scene; the camera focuses on the speaker, whose animated gestures emphasize his points, his face beaming with good humor as he refers to his notes. He holds up a booklet titled "Speech Notes", which is likely a reference to a celebratory event. The camera pans back to capture the collective reaction, with smiles and nods of approval all 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
|
At a wedding reception, a group of attendees are shown smiling and listening as the speaker at the podium begins to give a speech. The scene has dramatic lighting.
|
scene_001_About_Time_(2013)_-_First_Night_Together_Scene_(3_10)_|_Movieclips
| 4.565354
|
{'frame_00:00.png': 4.308161735534668, 'frame_00:01.png': 4.489459037780762, 'frame_00:02.png': 4.570331573486328, 'frame_00:03.png': 5.012704849243164, 'frame_00:04.png': 5.044014930725098, 'frame_00:05.png': 4.965604305267334, 'frame_00:06.png': 4.529691696166992, 'frame_00:07.png': 4.386900424957275, 'frame_00:08.png': 3.429427146911621, 'frame_00:09.png': 4.270576477050781, 'frame_00:10.png': 3.9991250038146973, 'frame_00:11.png': 4.767477989196777, 'frame_00:12.png': 4.45625638961792, 'frame_00:13.png': 5.162815093994141, 'frame_00:14.png': 5.087760925292969}
|
About_Time_(2013)_-_First_Night_Together_Scene_(3_10)_|_Movieclips
| 0.018771
| 0.221269
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, 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>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left 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>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], '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, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 1.6
| 1.066667
| 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=AX-b2bm93lY
|
scene_001
| 1
| 658
| 1,018
|
00:00:27.444
|
00:00:42.459
| 27.444111
| 42.459126
| 15.015015
| 27.444111
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 bedroom, a figure emerges from behind patterned curtains, walking toward a woman sitting on the edge of a bed. The room is cast in a cool blue light, highlighting a bedside lamp with a floral shade, along with the various textures of blankets and pillows on the bed. The figure, dressed in dark clothing, approaches the woman who is wearing striped pajamas, engaging her in conversation. The scene is heavy with a sense of nighttime intimacy, emphasizing the closeness and concern between the two individuals as they face each other in the quiet of the night.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 emerges from behind the curtain, entering a dimly lit bedroom, where a woman sits on the bed with concerned expression. The figure approaches the woman, engaging her in a hushed conversation in the blue-tinged, softly lit room.
|
scene_001_About_Time_(2013)_-_Last_Night_Was_Never_Going_to_Work_Scene_(1_10)_|_Movieclips
| 5.077953
|
{'frame_00:00.png': 5.16042423248291, 'frame_00:01.png': 4.602891445159912, 'frame_00:02.png': 5.4740705490112305, 'frame_00:03.png': 5.1017866134643555, 'frame_00:04.png': 5.121782302856445, 'frame_00:05.png': 4.85697603225708, 'frame_00:06.png': 5.306777000427246, 'frame_00:07.png': 5.16662073135376, 'frame_00:08.png': 5.072835922241211, 'frame_00:09.png': 4.621917724609375, 'frame_00:10.png': 5.365950107574463, 'frame_00:11.png': 5.189508438110352, 'frame_00:12.png': 4.892094612121582, 'frame_00:13.png': 4.914836406707764, 'frame_00:14.png': 5.320828437805176}
|
About_Time_(2013)_-_Last_Night_Was_Never_Going_to_Work_Scene_(1_10)_|_Movieclips
| -0.06405
| 0.37286
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.133333
| 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=SaOjJ3HjbDs
|
scene_001
| 1
| 53
| 413
|
00:00:02.211
|
00:00:17.226
| 2.210544
| 17.225559
| 15.015015
| 2.210544
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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, seen from the mid-chest up, stands framed by a doorway looking into a bedroom, beginning with their face angled to the right and slowly turning to face straight ahead as if speaking to someone. The room is dimly lit with a blue hue and on the wall beside the person is framed artwork. As the speaker continues, the scene cuts to a shot inside the bedroom where a woman with long blonde hair wearing a camisole sits propped up against pillows on the bed. Her body is angled towards the doorway and she is engaged in conversation. She is also lit with the same bluish light and appears relaxed, laughing softly and then adopting a more serious expression as she listens. The scene concludes with a cut back to the person at the doorway still talking, the room still washed in the blue tint.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 stands in a doorway talking to a woman sitting on a bed, the scene bathed in blue light. The woman smiles and speaks, then her expression becomes more serious.
|
scene_001_About_Time_(2013)_-_Live_Every_Day_Twice_Scene_(8_10)_|_Movieclips
| 4.808129
|
{'frame_00:00.png': 4.813427925109863, 'frame_00:01.png': 4.754184246063232, 'frame_00:02.png': 4.600188732147217, 'frame_00:03.png': 4.771676063537598, 'frame_00:04.png': 4.763941287994385, 'frame_00:05.png': 4.7264533042907715, 'frame_00:06.png': 4.658766746520996, 'frame_00:07.png': 4.776791095733643, 'frame_00:08.png': 5.022329330444336, 'frame_00:09.png': 4.917446136474609, 'frame_00:10.png': 5.032987594604492, 'frame_00:11.png': 5.139676094055176, 'frame_00:12.png': 4.694525241851807, 'frame_00:13.png': 4.673145294189453, 'frame_00:14.png': 4.77639627456665}
|
About_Time_(2013)_-_Live_Every_Day_Twice_Scene_(8_10)_|_Movieclips
| 0.613187
| 3.420158
|
{'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny, Artificial light, Mixed light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny, Artificial light, Mixed light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny, Artificial light, Mixed light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny, Artificial light, Mixed light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 10.933333
| 4.466667
| 0
|
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| 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=T1uRDmrPbp4
|
scene_001
| 1
| 310
| 670
|
00:00:12.930
|
00:00:27.945
| 12.929596
| 27.944611
| 15.015015
| 12.929596
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 meeting is in progress, with five individuals seated around a round table within a modern office setting; all are characterized by a consistent blue hue on their skin and hair. They are formally dressed in business attire, with suits and ties. The table is strewn with documents and binders, identified with lime green spines and the text "Queen's Yard Chambers" visible on them. The first person on the left is talking. The third person is handing him documents. There are clear glasses with water and coffee cups on the table. Behind them, a bookcase is filled with books and additional office supplies, reinforcing the professional environment. The scene's cool tones and the unnatural color of the people create an unusual visual 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 group of formally-dressed individuals with blue skin sit around a conference table laden with documents, appearing to engage in intense discussion and document exchange. The scene, set in what seems to be an office, unfolds with a sense of serious and professional activity.
|
scene_001_About_Time_(2013)_-_Meeting_Mary_Scene_(2_10)_|_Movieclips
| 5.065559
|
{'frame_00:00.png': 5.202528953552246, 'frame_00:01.png': 5.315530300140381, 'frame_00:02.png': 4.961637020111084, 'frame_00:03.png': 5.240786552429199, 'frame_00:04.png': 4.806152820587158, 'frame_00:05.png': 5.037397384643555, 'frame_00:06.png': 5.093694686889648, 'frame_00:07.png': 4.873058795928955, 'frame_00:08.png': 4.940667629241943, 'frame_00:09.png': 5.142608642578125, 'frame_00:10.png': 4.965115547180176, 'frame_00:11.png': 4.720620632171631, 'frame_00:12.png': 4.815142631530762, 'frame_00:13.png': 5.556841850280762, 'frame_00:14.png': 5.3115997314453125}
|
About_Time_(2013)_-_Meeting_Mary_Scene_(2_10)_|_Movieclips
| -0.011349
| 0.230877
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical 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>': '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, Low contrast, 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, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], '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, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.2
| 1.666667
| 0.2
|
{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': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 2: {'raw_counts': {'person': 2, 'tie': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 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, 'microwave': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': {'dog': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, '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, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, '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': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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}}}
| 0.135513
|
[ 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=dgMKzky9S4I
|
scene_001
| 1
| 266
| 626
|
00:00:11.094
|
00:00:26.109
| 11.094428
| 26.109443
| 15.015015
| 11.094428
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 stand in a dimly lit bar, deep in conversation, the scene is cast in a cool blue hue. One man has a checkered shirt, while the other dons a purple shirt and a blazer. Suddenly, a woman with long blonde hair enters the scene, her presence altering the dynamic. The man in the blazer engages her in conversation, while the other man steps slightly back. The woman appears surprised, her eyes widening as she listens to the man speak. The man smiles enigmatically. The woman glances around nervously, her expression shifts to one of fear, and she abruptly flees the scene, disappearing into the darkness of a curtained doorway. The man watches her go, a sly smile spreading across his face. He then returns his gaze forward, a sinister grin plastered on his face.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 are featured in a scene bathed in blue lighting, one of whom is speaking to a woman with blonde hair and a black shirt, who then looks frightened and runs away. The man then turns and smiles.
|
scene_001_Accepted_(10_10)_Movie_CLIP_-_Bartleby's_Speech_(2006)_HD
| 5.066122
|
{'frame_00:00.png': 4.907378673553467, 'frame_00:01.png': 5.129248142242432, 'frame_00:02.png': 5.438376426696777, 'frame_00:03.png': 5.37498664855957, 'frame_00:04.png': 5.0362348556518555, 'frame_00:05.png': 5.057364463806152, 'frame_00:06.png': 5.08525276184082, 'frame_00:07.png': 4.7984514236450195, 'frame_00:08.png': 4.932689189910889, 'frame_00:09.png': 4.954456806182861, 'frame_00:10.png': 4.930902004241943, 'frame_00:11.png': 4.999687671661377, 'frame_00:12.png': 5.351040363311768, 'frame_00:13.png': 5.352610111236572, 'frame_00:14.png': 4.643146991729736}
|
Accepted_(10_10)_Movie_CLIP_-_Bartleby's_Speech_(2006)_HD
| -0.026614
| 5.990954
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Cyan'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 7.6
| 6.066667
| 0
|
{0: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 1: {'raw_counts': {'person': 10, 'tie': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 2: {'raw_counts': {'person': 2, 'tie': 1, 'bottle': 1, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 3: {'raw_counts': {'person': 2, 'tie': 1, 'bottle': 1, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 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, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 6: {'raw_counts': {'person': 7, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 7: {'raw_counts': {'person': 8, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 9}}, 8: {'raw_counts': {'person': 6, 'tie': 2, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 9: {'raw_counts': {'person': 5, 'tie': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 10: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 11: {'raw_counts': {'person': 9, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 12: {'raw_counts': {'person': 1, 'tie': 1, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 13: {'raw_counts': {'person': 1, 'tie': 1, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 14: {'raw_counts': {'person': 8, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 9}}}
| 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=KZtF_gT3Sgg
|
scene_001
| 1
| 29
| 389
|
00:00:01.210
|
00:00:16.225
| 1.209543
| 16.224558
| 15.015015
| 1.209543
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 camera shows an auditorium setting, where individuals, all exhibiting blue skin, are seated. A man in a suit is speaking behind a table with a sign reading "Dr. J. Alexander." A young man with dark hair is wearing a suit in the audience as he turns to face the camera, speaks, and gestures with his hands. The camera then pans across other blue-skinned attendees, including a woman in a brown sweater and a man in a brown suit, both with serious expressions. The young man gestures and points as he speaks. Finally, the scene returns to the speaker, who is looking forward with his hands on 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 crowd of blue-skinned individuals, including men and women of varying ages, are seated in an auditorium, seemingly listening to a blue-skinned man who is speaking at a podium. The atmosphere of the scene seems formal and attentive.
|
scene_001_Accepted_(1_10)_Movie_CLIP_-_An_Invitation_from_Monica_(2006)_HD
| 4.755566
|
{'frame_00:00.png': 4.671677589416504, 'frame_00:01.png': 4.20702600479126, 'frame_00:02.png': 4.42929744720459, 'frame_00:03.png': 4.576335906982422, 'frame_00:04.png': 4.6785993576049805, 'frame_00:05.png': 4.997067928314209, 'frame_00:06.png': 5.204305648803711, 'frame_00:07.png': 5.009815692901611, 'frame_00:08.png': 5.080705165863037, 'frame_00:09.png': 5.010189056396484, 'frame_00:10.png': 4.763112545013428, 'frame_00:11.png': 4.347400188446045, 'frame_00:12.png': 4.692817687988281, 'frame_00:13.png': 4.650699615478516, 'frame_00:14.png': 5.014435768127441}
|
Accepted_(1_10)_Movie_CLIP_-_An_Invitation_from_Monica_(2006)_HD
| 1.260614
| 6.018101
|
{'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Yellow'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 6.4
| 5.533333
| 0
|
{0: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 1: {'raw_counts': {'person': 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': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 5: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 6: {'raw_counts': {'person': 7, 'car': 2, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 9}}, 7: {'raw_counts': {'person': 4, 'toilet': 1, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 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': 4, 'potted plant': 1, 'toilet': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 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': 13, 'handbag': 2, 'car': 4, 'total': 19}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 2, 'total': 19}}, 12: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 13: {'raw_counts': {'person': 6, 'cup': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 14: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}}
| 0.104856
|
[ 1 1 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=RehkdOxmytI
|
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 group of people are exiting a building, with one person running ahead. The building is light-colored stone and features a semi-circular set of stairs leading to a set of double doors. The runner is wearing brown pants and a yellow and grey shirt, and he waves his arm as he runs. As the scene progresses, a man throws papers into the air. As the scene unfolds, two men are standing on the steps. The man on the left is wearing glasses and a striped shirt with a bag slung over his shoulder. The man on the right has a backpack. The scene then transitions to a wider view of a crowded campus, before returning to a close view of the two men. A woman then approaches them. All people are shown with a strong blue tint.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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
|
People are turning blue on a college campus, while a student tosses papers in the air. Some of them appear distraught or confused as they react to their changing skin color.
|
scene_001_Accepted_(2_10)_Movie_CLIP_-_Pocahontas_Never_Went_to_College_(2006)_HD
| 4.753073
|
{'frame_00:00.png': 4.884188175201416, 'frame_00:01.png': 4.706646919250488, 'frame_00:02.png': 4.752776145935059, 'frame_00:03.png': 4.761552810668945, 'frame_00:04.png': 4.8958740234375, 'frame_00:05.png': 4.73749303817749, 'frame_00:06.png': 4.812999725341797, 'frame_00:07.png': 4.858509063720703, 'frame_00:08.png': 4.9265031814575195, 'frame_00:09.png': 4.941605567932129, 'frame_00:10.png': 4.379254341125488, 'frame_00:11.png': 4.3564887046813965, 'frame_00:12.png': 4.972626686096191, 'frame_00:13.png': 4.625563621520996, 'frame_00:14.png': 4.684012413024902}
|
Accepted_(2_10)_Movie_CLIP_-_Pocahontas_Never_Went_to_College_(2006)_HD
| 0.109565
| 3.033339
|
{'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<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>': '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>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 3.4
| 1.333333
| 0
|
{0: {'raw_counts': {'person': 1, 'bed': 1, 'snowboard': 1, 'book': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 1: {'raw_counts': {'person': 1, 'bed': 1, 'book': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 2: {'raw_counts': {'person': 1, 'bed': 1, 'book': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'book': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 4: {'raw_counts': {'person': 2, 'book': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'book': 1, 'bed': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 6: {'raw_counts': {'person': 2, 'book': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 7: {'raw_counts': {'person': 2, 'book': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'tie': 1, 'book': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 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, '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, 'vase': 1, 'cup': 1, 'spoon': 1, 'wine glass': 1, 'bowl': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 13: {'raw_counts': {'person': 1, 'cup': 1, 'vase': 1, 'bowl': 2, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 14: {'raw_counts': {'person': 1, 'cup': 1, 'vase': 1, 'potted plant': 1, 'laptop': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}}
| 0.146639
|
[ 1 1 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=nGWtzmsCHgc
|
scene_001
| 1
| 76
| 436
|
00:00:03.170
|
00:00:18.185
| 3.169837
| 18.184852
| 15.015015
| 3.169837
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 girl with blue skin is sitting in a bedroom, wearing a light-colored blouse and a reddish-orange sweater-vest, and looking slightly concerned, as a blue-skinned man stands in another room with a Bob Marley poster on the wall, gesturing as he speaks. The scene cuts to another blue-skinned man with a serious expression in a dimly lit room, followed by a blue-skinned woman speaking calmly, before returning to the blue-skinned man from the second scene, now sitting at a dining table with his hands clasped, then reaching for a folder, all under subdued 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 blue-tinted girl sits in a bedroom while a blue-tinted man stands nearby; later, blue-tinted people gather around a dinner table, their faces expressing various emotions. Captured with a blue color grade.
|
scene_001_Accepted_(3_10)_Movie_CLIP_-_The_Birthplace_of_Crack_(2006)_HD
| 4.94785
|
{'frame_00:00.png': 4.836964130401611, 'frame_00:01.png': 4.982290267944336, 'frame_00:02.png': 4.668660640716553, 'frame_00:03.png': 5.010646820068359, 'frame_00:04.png': 4.990139961242676, 'frame_00:05.png': 5.091632843017578, 'frame_00:06.png': 5.025824546813965, 'frame_00:07.png': 4.927578449249268, 'frame_00:08.png': 4.976139068603516, 'frame_00:09.png': 5.055447578430176, 'frame_00:10.png': 5.147587299346924, 'frame_00:11.png': 5.086794376373291, 'frame_00:12.png': 4.863746643066406, 'frame_00:13.png': 4.690256118774414, 'frame_00:14.png': 4.864047050476074}
|
Accepted_(3_10)_Movie_CLIP_-_The_Birthplace_of_Crack_(2006)_HD
| 0.92705
| 6.964177
|
{'frame_00:00.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 6.2
| 2.666667
| 0
|
{0: {'raw_counts': {'person': 3, 'car': 5, 'total': 8}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 5, 'food': 0, 'others': 0, 'total': 8}}, 1: {'raw_counts': {'person': 3, 'car': 5, 'total': 8}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 5, 'food': 0, 'others': 0, 'total': 8}}, 2: {'raw_counts': {'person': 3, 'car': 6, 'total': 9}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 6, 'food': 0, 'others': 0, 'total': 9}}, 3: {'raw_counts': {'person': 4, 'car': 6, 'total': 10}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 6, 'food': 0, 'others': 0, 'total': 10}}, 4: {'raw_counts': {'person': 4, 'car': 4, 'total': 8}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 8}}, 5: {'raw_counts': {'person': 2, 'potted plant': 4, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 6: {'raw_counts': {'person': 1, 'car': 1, 'truck': 1, 'bus': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 4}}, 7: {'raw_counts': {'person': 1, 'car': 3, 'bus': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 5}}, 8: {'raw_counts': {'person': 1, 'car': 4, 'bus': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 5, 'food': 0, 'others': 0, 'total': 6}}, 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': 5, 'car': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 7}}, 12: {'raw_counts': {'person': 5, 'car': 2, 'truck': 1, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 8}}, 13: {'raw_counts': {'person': 3, 'truck': 1, 'car': 3, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 7}}, 14: {'raw_counts': {'person': 3, 'car': 2, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 2, '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=TWjtzvFrA8c
|
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
|
Three individuals are standing in front of an automobile parked near a gas station on a city street. One of them is gesturing with his hands while the other two are listening. The background includes other cars parked on the street and an establishment called "Gallar." Following that, a person wearing a multicolor uniform is seen, smiling inside what appears to be a convenience store. The scene shifts back to the three individuals by the car, where they seem to be engaged in a 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
|
Three men are standing on a street corner while one man wearing glasses talks with open hand gestures; later, a shopkeeper is shown smiling behind a counter. The individuals are all seen in a blue tone to the image.
|
scene_001_Accepted_(4_10)_Movie_CLIP_-_We_Gotta_Find_a_Dean_(2006)_HD
| 4.920451
|
{'frame_00:00.png': 5.003553867340088, 'frame_00:01.png': 4.8213300704956055, 'frame_00:02.png': 5.122375965118408, 'frame_00:03.png': 5.182050704956055, 'frame_00:04.png': 4.911072731018066, 'frame_00:05.png': 4.711911201477051, 'frame_00:06.png': 4.817916393280029, 'frame_00:07.png': 4.871795177459717, 'frame_00:08.png': 4.807697296142578, 'frame_00:09.png': 4.885944366455078, 'frame_00:10.png': 5.1658430099487305, 'frame_00:11.png': 4.685577869415283, 'frame_00:12.png': 5.060468673706055, 'frame_00:13.png': 4.977114200592041, 'frame_00:14.png': 4.782118797302246}
|
Accepted_(4_10)_Movie_CLIP_-_We_Gotta_Find_a_Dean_(2006)_HD
| -0.1002
| 5.331183
|
{'frame_00:00.png': [{'<COLOR>': 'Green, Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Green, Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Saturated, Red, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Saturated, Red, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Saturated, Red, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Saturated, Red, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Saturated, Red, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Saturated, Red, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Saturated, Red, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Saturated, Red, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Saturated, Red, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Center'}]}
| 2.866667
| 2.8
| 0
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': 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': 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': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 8: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 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, '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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| 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=mHJH39bjALk
|
scene_001
| 1
| 109
| 469
|
00:00:04.546
|
00:00:19.561
| 4.546213
| 19.561228
| 15.015015
| 4.546213
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 stands outdoors with trees and a flag pole in the background, looking up and appearing concerned. The color grade of the scene is almost entirely in shades of blue. Later, a man with glasses and a name tag stands inside what appears to be a retail store, gesturing with his hands as he speaks to an unseen person. The shot captures the man from the chest up. The background is filled with merchandise and other shoppers. The blue color grade remains consistent. Finally, a young boy sits on a bench, looking directly at the camera with a solemn expression, also affected by the 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
|
A person stands outside with trees and a blue sky in the background, and a person with glasses gestures to someone in a shop while a blue-skinned boy sits on a bench with a blue tint. The actors seem blue due to the color correction, giving the scene an otherworldly or surreal quality.
|
scene_001_Accepted_(5_10)_Movie_CLIP_-_Breeding_Pimps_and_Whores_(2006)_HD
| 4.707523
|
{'frame_00:00.png': 4.402994632720947, 'frame_00:01.png': 4.425415992736816, 'frame_00:02.png': 4.649079322814941, 'frame_00:03.png': 4.641294002532959, 'frame_00:04.png': 4.77315616607666, 'frame_00:05.png': 4.720029354095459, 'frame_00:06.png': 4.924044609069824, 'frame_00:07.png': 4.400935649871826, 'frame_00:08.png': 4.505510330200195, 'frame_00:09.png': 4.362708568572998, 'frame_00:10.png': 4.327341556549072, 'frame_00:11.png': 4.72806453704834, 'frame_00:12.png': 5.221578598022461, 'frame_00:13.png': 4.529022216796875, 'frame_00:14.png': 5.055025100708008, 'frame_00:15.png': 5.041932582855225, 'frame_00:16.png': 4.981994152069092, 'frame_00:17.png': 5.045290946960449}
|
Accepted_(5_10)_Movie_CLIP_-_Breeding_Pimps_and_Whores_(2006)_HD
| 0.582626
| 6.923626
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, 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, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:15.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:16.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:17.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 6.166667
| 2.666667
| 0
|
{0: {'raw_counts': {'person': 1, 'tie': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 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': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 1, 'chair': 1, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 6: {'raw_counts': {'person': 1, 'chair': 1, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 7: {'raw_counts': {'person': 1, 'tie': 1, 'book': 3, 'chair': 1, 'couch': 1, 'total': 7}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 7}}, 8: {'raw_counts': {'tie': 1, 'person': 2, 'book': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 9: {'raw_counts': {'laptop': 1, 'couch': 1, 'person': 2, 'book': 3, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}, 10: {'raw_counts': {'person': 3, 'cup': 2, 'laptop': 1, 'cell phone': 1, 'bowl': 1, 'total': 8}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 8}}, 11: {'raw_counts': {'person': 4, 'tie': 1, 'laptop': 1, 'bottle': 1, 'chair': 1, 'tv': 1, 'dining table': 1, 'total': 10}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 10}}, 12: {'raw_counts': {'person': 4, 'tie': 1, 'laptop': 1, 'cup': 1, 'chair': 1, 'total': 8}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 8}}, 13: {'raw_counts': {'person': 5, 'cup': 1, 'book': 1, 'tie': 1, 'laptop': 1, 'total': 9}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 9}}, 14: {'raw_counts': {'person': 5, 'tie': 1, 'laptop': 2, 'cup': 2, 'chair': 1, 'total': 11}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 11}}, 15: {'raw_counts': {'person': 5, 'tie': 2, 'laptop': 1, 'cup': 1, 'total': 9}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 9}}, 16: {'raw_counts': {'person': 5, 'tie': 2, 'laptop': 1, 'chair': 2, 'cup': 1, 'total': 11}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 11}}, 17: {'raw_counts': {'tie': 2, 'person': 5, 'laptop': 1, 'cup': 1, 'chair': 2, 'total': 11}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 11}}}
| 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=e8HRcYG3Ftg
|
scene_001
| 1
| 46
| 477
|
00:00:01.919
|
00:00:19.895
| 1.918585
| 19.894895
| 17.97631
| 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 an office, a man with glasses and a brown jacket sits at a desk, initially looking to the left and gesturing with his hands. As the scene widens, it reveals two men and two women sitting across the desk from him, also with blue skin. The man continues speaking, while the group listens attentively. The background features blinds on the windows, a bookcase filled with books, and various office items on the desk, with the camera maintaining a steady shot of 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
|
A blue-skinned man sits at a table and speaks to a group of people with similar coloration, who eventually join him around the table. The individuals engage in a conversation in a brightly lit office.
|
scene_001_Accepted_(7_10)_Movie_CLIP_-_Welcome_to_S_H_I_T__(2006)_HD
| 4.752789
|
{'frame_00:00.png': 4.5971360206604, 'frame_00:01.png': 4.856668949127197, 'frame_00:02.png': 4.764711380004883, 'frame_00:03.png': 4.675903797149658, 'frame_00:04.png': 4.9760026931762695, 'frame_00:05.png': 4.809214115142822, 'frame_00:06.png': 5.290460109710693, 'frame_00:07.png': 4.638342380523682, 'frame_00:08.png': 4.344234943389893, 'frame_00:09.png': 4.460288047790527, 'frame_00:10.png': 4.794901371002197, 'frame_00:11.png': 4.660146236419678, 'frame_00:12.png': 4.656780242919922, 'frame_00:13.png': 4.849253177642822, 'frame_00:14.png': 4.917793273925781}
|
Accepted_(7_10)_Movie_CLIP_-_Welcome_to_S_H_I_T__(2006)_HD
| 0.284401
| 0.173248
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 6.933333
| 6.666667
| 0.266667
|
{0: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 1: {'raw_counts': {'person': 8, 'horse': 1, 'total': 9}, 'bucketed_counts': {'humans': 8, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 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': 9, 'total': 9}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 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': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 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, 'dog': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 2, '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': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 11: {'raw_counts': {'person': 5, 'dog': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 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': 18, 'total': 18}, 'bucketed_counts': {'humans': 18, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 18}}, 14: {'raw_counts': {'person': 19, 'total': 19}, 'bucketed_counts': {'humans': 19, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 19}}}
| 0.115649
|
[ 1 1 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=QZjmr4_K8To
|
scene_001
| 1
| 40
| 400
|
00:00:01.668
|
00:00:16.683
| 1.668335
| 16.68335
| 15.015015
| 1.668335
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 setting is a dimly lit room, possibly a school auditorium or community center, where a diverse group of people are gathered as an audience. The scene's color palette is predominantly blue, creating a somewhat eerie or surreal atmosphere. In the foreground, we see a mix of individuals, some wearing hats, caps, or casual attire, their faces bearing expressions of curiosity and slight confusion. As the camera zooms out, a middle-aged man wearing a hat and casual clothing stands in the center of the room, his arms crossed, seemingly observing the audience. A well-lit stage is visible, with an individual standing on it, gesturing with his hands as if giving a presentation or speech. The audience, a large and diverse group of people, is seated in rows, some with raised hands, indicating questions or eagerness to participate, their faces illuminated with the blue lighting. The scene captures a moment of anticipation, engagement, and slight bewilderment within this unconventional 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
|
An audience sits in anticipation as a speaker stands on a stage, delivering his presentation to the captivated crowd. The room is bathed in a blueish hue.
|
scene_001_Accepted_(8_10)_Movie_CLIP_-_What_Do_You_Want_to_Learn?_(2006)_HD
| 4.562657
|
{'frame_00:00.png': 4.316036224365234, 'frame_00:01.png': 3.9258604049682617, 'frame_00:02.png': 4.116891384124756, 'frame_00:03.png': 4.206592559814453, 'frame_00:04.png': 4.252817630767822, 'frame_00:05.png': 4.182602405548096, 'frame_00:06.png': 4.7199273109436035, 'frame_00:07.png': 4.868640422821045, 'frame_00:08.png': 4.8512396812438965, 'frame_00:09.png': 5.047794342041016, 'frame_00:10.png': 4.859434604644775, 'frame_00:11.png': 4.920742034912109, 'frame_00:12.png': 4.820654392242432, 'frame_00:13.png': 4.748327732086182, 'frame_00:14.png': 4.602297782897949}
|
Accepted_(8_10)_Movie_CLIP_-_What_Do_You_Want_to_Learn?_(2006)_HD
| -0.574017
| 7.379373
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft 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>': '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, Artificial light'}, {'<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>': 'Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 3.4
| 1.8
| 0
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 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, 'tv': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 7: {'raw_counts': {'person': 2, 'chair': 2, 'tv': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 8: {'raw_counts': {'person': 2, 'chair': 2, 'tv': 3, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}, 9: {'raw_counts': {'person': 2, 'chair': 2, 'tv': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 10: {'raw_counts': {'person': 3, 'chair': 2, 'tv': 2, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 7}}, 11: {'raw_counts': {'person': 2, 'chair': 1, 'tv': 1, 'laptop': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 12: {'raw_counts': {'person': 2, 'chair': 1, 'tv': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 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}}}
| -0.001203
|
[-1 1 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=lQfG0D7wPKA
|
scene_001
| 1
| 30
| 390
|
00:00:01.251
|
00:00:16.266
| 1.251251
| 16.266266
| 15.015015
| 1.251251
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 stands by a window with blinds, looking surprised, and turns to walk past another man in an orange and brown striped shirt. The first man walks towards a man sitting in a dental chair, who wears a white t-shirt with a design on it and a blue headband, as he approaches the seated man, he raises his hand and gestures in a speaking manner. They are in an institutional room, with an examination table along the wall, and then the man in the chair turns to look at the man who is standing. The seated man has curly hair and the examination room has a blue door in the back. The seated man gestures with both hands as he speaks.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 room with blinds, a blue-skinned man in a button-down shirt converses with another blue-skinned man wearing a t-shirt while seated in a patient chair. The latter man throws an arm around the shoulder of the former.
|
scene_001_Accepted_(9_10)_Movie_CLIP_-_Ask_Me_About_My_Wiener_(2006)_HD
| 4.913363
|
{'frame_00:00.png': 4.6331706047058105, 'frame_00:01.png': 4.746737957000732, 'frame_00:02.png': 4.929876327514648, 'frame_00:03.png': 4.79990816116333, 'frame_00:04.png': 4.814378261566162, 'frame_00:05.png': 5.051392078399658, 'frame_00:06.png': 4.866774559020996, 'frame_00:07.png': 4.781322002410889, 'frame_00:08.png': 5.032879829406738, 'frame_00:09.png': 4.918951511383057, 'frame_00:10.png': 4.916863441467285, 'frame_00:11.png': 4.898743152618408, 'frame_00:12.png': 5.091885089874268, 'frame_00:13.png': 5.181776523590088, 'frame_00:14.png': 5.035790920257568}
|
Accepted_(9_10)_Movie_CLIP_-_Ask_Me_About_My_Wiener_(2006)_HD
| -0.297088
| 4.969449
|
{'frame_00:00.png': [{'<COLOR>': 'Saturated, Red, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Green, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Green, Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 4.2
| 4
| 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': 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': 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': 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': 9, 'bench': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 10}}, 13: {'raw_counts': {'person': 13, 'bench': 1, 'total': 14}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 14}}, 14: {'raw_counts': {'person': 11, 'surfboard': 1, 'total': 12}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 12}}}
| 0.118365
|
[ 1 1 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=eP52omnnZmg
|
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
|
A young man and woman stand outside amongst green foliage as they engage in conversation; both are entirely blue; other people wander by in the background, also blue; at one point a woman stands on the lawn in front of a building, dressed in a spherical costume, also blue, while other blue people walk around her.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 people are having a conversation outside against the backdrop of greenery, while others move around them; later, people are on a lawn with a building in the background, including someone dressed as a blueberry. The scene has been modified with a blue tint.
|
scene_001_Action_Point_(2018)_-_Bad_Publicity_is_Good_Publicity_Scene_(4_10)_|_Movieclips
| 5.21913
|
{'frame_00:00.png': 4.707772254943848, 'frame_00:01.png': 5.004242897033691, 'frame_00:02.png': 4.775696277618408, 'frame_00:03.png': 4.960360050201416, 'frame_00:04.png': 5.1014251708984375, 'frame_00:05.png': 5.155853748321533, 'frame_00:06.png': 5.244611740112305, 'frame_00:07.png': 5.330269813537598, 'frame_00:08.png': 5.261444568634033, 'frame_00:09.png': 5.4809112548828125, 'frame_00:10.png': 5.21596622467041, 'frame_00:11.png': 5.486679553985596, 'frame_00:12.png': 5.408422470092773, 'frame_00:13.png': 5.534031391143799, 'frame_00:14.png': 5.619264602661133}
|
Action_Point_(2018)_-_Bad_Publicity_is_Good_Publicity_Scene_(4_10)_|_Movieclips
| -0.141683
| 1.781322
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Red, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 6.466667
| 4.8
| 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, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 4: {'raw_counts': {'person': 6, 'sports ball': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 5: {'raw_counts': {'person': 4, 'tie': 1, 'orange': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 1, 'others': 1, 'total': 6}}, 6: {'raw_counts': {'person': 4, 'cell phone': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 7: {'raw_counts': {'person': 4, 'tie': 1, 'tennis racket': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 8: {'raw_counts': {'person': 5, 'tie': 2, 'sports ball': 1, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 9: {'raw_counts': {'person': 4, 'tie': 3, 'sports ball': 1, 'total': 8}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 8}}, 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': 8, 'tie': 3, 'total': 11}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 11}}, 12: {'raw_counts': {'person': 7, 'tie': 3, 'total': 10}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 10}}, 13: {'raw_counts': {'person': 5, 'tie': 3, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 14: {'raw_counts': {'person': 10, 'sports ball': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}}
| 0.068443
|
[ 1 1 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=9EFxRx8EbDk
|
scene_001
| 1
| 77
| 437
|
00:00:03.212
|
00:00:18.227
| 3.211545
| 18.22656
| 15.015015
| 3.211545
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 filmed riding down an escalator, followed by a blue-skinned man addressing a crowd, holding a pair of scissors, and a banner in the background, with the crowd appearing to be awaiting a ribbon cutting, smiling and looking toward the speaker. From an elevated view, a crowd of predominantly blue-skinned people gather at a grand opening event. Many are looking in the direction of the speaker, who is also blue skinned, with a banner indicating a "brighter future".
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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
|
Various blue-tinted people stand in a group and attend a ribbon-cutting ceremony in an open mall area. A man in a suit waves oversized scissors to the blue crowd, all of whom wear different styles of 70s clothing.
|
scene_001_Action_Point_(2018)_-_Bus_Jump_Scene_(9_10)_|_Movieclips
| 4.910636
|
{'frame_00:00.png': 4.9126057624816895, 'frame_00:01.png': 4.931804656982422, 'frame_00:02.png': 4.913893699645996, 'frame_00:03.png': 4.708518981933594, 'frame_00:04.png': 4.722532272338867, 'frame_00:05.png': 5.006062030792236, 'frame_00:06.png': 4.961905002593994, 'frame_00:07.png': 5.0233988761901855, 'frame_00:08.png': 4.807748317718506, 'frame_00:09.png': 5.081027984619141, 'frame_00:10.png': 4.780239105224609, 'frame_00:11.png': 4.958578586578369, 'frame_00:12.png': 4.933075428009033, 'frame_00:13.png': 4.945427417755127, 'frame_00:14.png': 5.059952735900879, 'frame_00:15.png': 4.968530654907227, 'frame_00:16.png': 4.984399795532227, 'frame_00:17.png': 4.776440143585205, 'frame_00:18.png': 4.825939655303955}
|
Action_Point_(2018)_-_Bus_Jump_Scene_(9_10)_|_Movieclips
| -0.261035
| 6.291913
|
{'frame_00:00.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:15.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:16.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:17.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:18.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.263158
| 2.315789
| 0
|
{0: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, '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, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 3, 'car': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 6: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'car': 1, 'person': 4, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}, 8: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 9: {'raw_counts': {'person': 3, 'car': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 10: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 11: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 12: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'person': 3, 'car': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 14: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 15: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 16: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 17: {'raw_counts': {'person': 3, 'car': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 18: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}}
| 0.093902
|
[ 1 1 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=E4rFRdmeWqU
|
scene_001
| 1
| 42
| 498
|
00:00:01.752
|
00:00:20.771
| 1.751752
| 20.770771
| 19.019019
| 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
|
Inside a car, two blue-skinned men are engaged in a heated discussion, expressions animated. The driver grips the wheel, his face etched with concern as he glances sideways at his companion. The passenger, clad in a striped tank top, gestures emphatically with his right hand as he speaks, tattoo is visible on the passenger's arm. The setting is tinged with a muted, almost monochromatic blue, highlighting the subjects' unique complexions. The car appears to be moving along a road surrounded by trees, which are silhouetted against a pale, overcast sky. The overall atmosphere is tense, with a sense of conflict palpable through the visuals.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 blue-skinned men are engaged in what appears to be an intense conversation inside a convertible car, with one man driving and gesturing emphatically, while the other listens with a serious expression. The scene is filmed with an emphasis on their interaction, captured in a close-up shot that highlights their emotional engagement.
|
scene_001_Action_Point_(2018)_-_Catching_Animals_Scene_(5_10)_|_Movieclips
| 5.01239
|
{'frame_00:00.png': 4.951318264007568, 'frame_00:01.png': 5.174881935119629, 'frame_00:02.png': 5.008605003356934, 'frame_00:03.png': 5.088930606842041, 'frame_00:04.png': 4.776601791381836, 'frame_00:05.png': 4.958349227905273, 'frame_00:06.png': 5.062829494476318, 'frame_00:07.png': 4.9041666984558105, 'frame_00:08.png': 4.9026265144348145, 'frame_00:09.png': 5.032087326049805, 'frame_00:10.png': 5.070436000823975, 'frame_00:11.png': 5.053389549255371, 'frame_00:12.png': 5.063175678253174, 'frame_00:13.png': 5.0811591148376465, 'frame_00:14.png': 5.057292938232422}
|
Action_Point_(2018)_-_Catching_Animals_Scene_(5_10)_|_Movieclips
| -0.142539
| 2.881046
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Yellow'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Yellow'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 6.066667
| 4.666667
| 0.066667
|
{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': 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': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 5: {'raw_counts': {'person': 2, 'tie': 1, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 6: {'raw_counts': {'person': 2, 'car': 1, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 4}}, 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': 4, 'dog': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 9: {'raw_counts': {'person': 5, 'backpack': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 10: {'raw_counts': {'person': 7, 'backpack': 1, 'umbrella': 1, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 9}}, 11: {'raw_counts': {'person': 7, 'umbrella': 1, 'chair': 1, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 9}}, 12: {'raw_counts': {'person': 6, 'chair': 1, 'umbrella': 1, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 13: {'raw_counts': {'person': 6, 'umbrella': 1, 'backpack': 2, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 14: {'raw_counts': {'person': 5, 'backpack': 3, 'surfboard': 1, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 10}}}
| 0.136912
|
[ 1 1 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=0Dp--gKKMJ8
|
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 gathering of blue-toned people is captured in an outdoor setting near a small, weathered structure adorned with surfboards and colorful flags. A man in a brown jacket and striped shirt stands by the window of the structure, holding a cup while interacting with a group of children. A young woman, wearing a "TEENAGE KICKS" t-shirt and headphones, stands slightly apart from the children, engaged in the conversation. The camera pans out to reveal a broader view of the scene, showing a young boy playing with a hose or cable on the left, and more of the surrounding environment, including trees and a booth-like structure. The overall color tone is a striking blue, creating an ethereal, otherworldly 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 group of people and children, with bluish skin, stand around a small structure, seemingly engaged in conversation or interaction. There are various objects and decorations around the area, under an intense blue color grading.
|
scene_001_Action_Point_(2018)_-_Shooting_the_Commercial_Scene_(6_10)_|_Movieclips
| 4.848976
|
{'frame_00:00.png': 4.227270126342773, 'frame_00:01.png': 4.477255821228027, 'frame_00:02.png': 4.866325855255127, 'frame_00:03.png': 5.130358695983887, 'frame_00:04.png': 5.270511627197266, 'frame_00:05.png': 4.944842338562012, 'frame_00:06.png': 4.969992637634277, 'frame_00:07.png': 4.97929048538208, 'frame_00:08.png': 4.797725200653076, 'frame_00:09.png': 4.708832740783691, 'frame_00:10.png': 4.568910598754883, 'frame_00:11.png': 5.024014472961426, 'frame_00:12.png': 4.865782737731934, 'frame_00:13.png': 4.652919769287109, 'frame_00:14.png': 5.250604629516602}
|
Action_Point_(2018)_-_Shooting_the_Commercial_Scene_(6_10)_|_Movieclips
| -0.625181
| 0.874889
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], '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, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], '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, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Yellow'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Yellow'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 5.066667
| 4.133333
| 0
|
{0: {'raw_counts': {'person': 2, 'suitcase': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 1: {'raw_counts': {'person': 9, 'car': 1, 'boat': 1, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 11}}, 2: {'raw_counts': {'person': 6, 'umbrella': 1, 'skis': 1, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 3: {'raw_counts': {'person': 7, 'suitcase': 1, 'umbrella': 2, 'car': 1, 'total': 11}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 3, 'total': 11}}, 4: {'raw_counts': {'person': 9, 'suitcase': 1, 'umbrella': 1, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 11}}, 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, 'car': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 12: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 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': 7, 'skateboard': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}}
| 0.086328
|
[ 1 1 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=PyUqYOB4ey8
|
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 scene captures a go-kart race unfolding on a dusty track, surrounded by stacks of tires that serve as barriers. Spectators stand along the sidelines watching the competition, there is one go-kart notably designed with a tank-like exterior, complete with a star emblem. Following the race, a group of people gather near the track, one figure stands out as he addresses the group through a megaphone. In what appears to be a retro video clip, a man sits in a go-kart, looking at the camera and talking while go-karts race in the background. The scene shifts to an amusement park area, where people are walking around, one of them wears a gorilla 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 depicts a go-kart race in a dusty outdoor setting, with spectators cheering. The film showcases a vintage-style film with a light leak filter effect.
|
scene_001_Action_Point_(2018)_-_The_Sh**birds_Scene_(1_10)_|_Movieclips
| 4.77755
|
{'frame_00:00.png': 4.994297981262207, 'frame_00:01.png': 4.803251266479492, 'frame_00:02.png': 4.812829971313477, 'frame_00:03.png': 4.320760726928711, 'frame_00:04.png': 4.842633247375488, 'frame_00:05.png': 4.610205173492432, 'frame_00:06.png': 4.574010372161865, 'frame_00:07.png': 4.10031795501709, 'frame_00:08.png': 4.962180137634277, 'frame_00:09.png': 4.9470319747924805, 'frame_00:10.png': 4.620807647705078, 'frame_00:11.png': 4.7961201667785645, 'frame_00:12.png': 5.022261142730713, 'frame_00:13.png': 5.015128135681152, 'frame_00:14.png': 5.241414546966553}
|
Action_Point_(2018)_-_The_Sh**birds_Scene_(1_10)_|_Movieclips
| -0.675988
| 3.051321
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Red, Green, Cyan'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Green, Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Green, Cyan'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Green, Cyan'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 3.6
| 2.4
| 0.266667
|
{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': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 2: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 3: {'raw_counts': {'car': 1, 'truck': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'truck': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'truck': 1, 'person': 3, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 6: {'raw_counts': {'person': 3, 'bench': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 7: {'raw_counts': {'person': 4, 'elephant': 1, 'car': 3, 'bear': 1, 'total': 9}, 'bucketed_counts': {'humans': 4, 'animals': 2, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 9}}, 8: {'raw_counts': {'person': 2, 'sheep': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 9: {'raw_counts': {'cup': 1, 'person': 3, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 10: {'raw_counts': {'person': 3, 'car': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 11: {'raw_counts': {'truck': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'boat': 1, 'cow': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 14: {'raw_counts': {'tie': 1, 'boat': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 2}}}
| 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=Vchw3dbVeUo
|
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
|
A group of children and a young woman are riding in the back of a pickup truck, laughing and smiling as they pass through a rural landscape with fields and trees, the truck eventually pulls off the road and towards a billboard advertising "Action Point", the video then cuts to a man on top of a different billboard, a real estate advertisement, and defaces the sign with a spray paint can.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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
|
People, including children, are riding in the back of a truck and laughing as they approach an amusement park. In subsequent scenes, the truck passes a billboard for a real estate company.
|
scene_001_Action_Point_(2018)_-_Trebuchet_Mishap_Scene_(8_10)_|_Movieclips
| 4.604587
|
{'frame_00:00.png': 4.6416778564453125, 'frame_00:01.png': 4.4692301750183105, 'frame_00:02.png': 4.6238250732421875, 'frame_00:03.png': 4.637898921966553, 'frame_00:04.png': 4.557550430297852, 'frame_00:05.png': 4.654594898223877, 'frame_00:06.png': 4.854754447937012, 'frame_00:07.png': 4.439934730529785, 'frame_00:08.png': 4.485158920288086, 'frame_00:09.png': 4.546429634094238, 'frame_00:10.png': 4.5181121826171875, 'frame_00:11.png': 4.581790447235107, 'frame_00:12.png': 4.610343933105469, 'frame_00:13.png': 4.7057204246521, 'frame_00:14.png': 4.741783142089844}
|
Action_Point_(2018)_-_Trebuchet_Mishap_Scene_(8_10)_|_Movieclips
| -0.126635
| 1.859225
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Yellow'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 3.333333
| 2.533333
| 0
|
{0: {'raw_counts': {'person': 2, 'truck': 1, 'car': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 1: {'raw_counts': {'person': 2, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 3: {'raw_counts': {'person': 5, 'car': 1, 'train': 1, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 7}}, 4: {'raw_counts': {'person': 4, 'train': 1, 'truck': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 6}}, 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, 'bench': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'bench': 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': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 12: {'raw_counts': {'person': 3, 'train': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 13: {'raw_counts': {'person': 4, 'train': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}, 14: {'raw_counts': {'person': 4, 'train': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 5}}}
| 0.070742
|
[ 1 1 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=UUAQ3T09_os
|
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
|
Two men are seen working on a large, blue machine in a rural area. One man stands near the machine, seemingly adjusting a component, while the other sits on the machine, looking tired. The scene shifts to show a wider view of the machine and the surrounding area, with several other people milling around. One of the men carries a box towards the machine. The atmosphere appears to be one of communal effort, with a focus on working the machine.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 group of people working on a makeshift machine in a rural outdoor setting, one operating the controls while others work around the structure. The atmosphere is subdued and work-focused, bathed in an eerie blue light.
|
scene_001_Adam's_Rib_(1949)_-_A_Little_Slap_Scene_(5_10)_|_Movieclips
| 4.913082
|
{'frame_00:00.png': 4.913707256317139, 'frame_00:01.png': 5.1745476722717285, 'frame_00:02.png': 5.043380260467529, 'frame_00:03.png': 4.986936569213867, 'frame_00:04.png': 5.23340368270874, 'frame_00:05.png': 5.0595316886901855, 'frame_00:06.png': 4.808724403381348, 'frame_00:07.png': 4.673964977264404, 'frame_00:08.png': 4.630873203277588, 'frame_00:09.png': 4.924225807189941, 'frame_00:10.png': 4.884305477142334, 'frame_00:11.png': 4.946686744689941, 'frame_00:12.png': 5.059074401855469, 'frame_00:13.png': 4.717336177825928, 'frame_00:14.png': 4.63953161239624}
|
Adam's_Rib_(1949)_-_A_Little_Slap_Scene_(5_10)_|_Movieclips
| 1.1037
| 4.048545
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side 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>': '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'}, {'<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>': 'Left heavy'}]}
| 2.733333
| 1.733333
| 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': 2, 'dining table': 1, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 7: {'raw_counts': {'person': 2, 'dining table': 1, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 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, 'dining table': 1, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 10: {'raw_counts': {'person': 2, 'chair': 1, 'dining table': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 11: {'raw_counts': {'person': 2, 'dining table': 1, 'chair': 1, 'potted plant': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 12: {'raw_counts': {'person': 2, 'dining table': 1, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 13: {'raw_counts': {'person': 2, 'dining table': 1, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 14: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| 0.036003
|
[-1 1 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=6oqDO7aHVFo
|
scene_001
| 1
| 2,656
| 3,016
|
00:01:50.777
|
00:02:05.792
| 110.777444
| 125.792459
| 15.015015
| 110.777444
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 wearing a white robe is shown in a black-and-white shot as he walks forward into a room with a bed. The camera shows him in a medium shot, and he appears to be worried. The scene shifts to show a woman wrapped in a white towel with a white towel on her head, sitting in a chair and crying in the same room as before. She is facing the left, holding the towel to her chest, as the man walks in behind her with his hands in his robe's pockets. The man is now standing behind the woman as she continues to weep and stare ahead.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 robe enters a bedroom, discovering a woman with a towel on her head who is distraught and tearful. Captured in black and white, the somber scene conveys a sense of emotional distress.
|
scene_001_Adam's_Rib_(1949)_-_A_Woman_Scorned_Scene_(4_10)_|_Movieclips
| 5.370691
|
{'frame_00:00.png': 5.2307634353637695, 'frame_00:01.png': 5.329658508300781, 'frame_00:02.png': 5.211306571960449, 'frame_00:03.png': 5.479994297027588, 'frame_00:04.png': 5.343387603759766, 'frame_00:05.png': 5.315652847290039, 'frame_00:06.png': 5.366134166717529, 'frame_00:07.png': 5.286850929260254, 'frame_00:08.png': 5.332596302032471, 'frame_00:09.png': 5.402528285980225, 'frame_00:10.png': 5.4039201736450195, 'frame_00:11.png': 5.367061614990234, 'frame_00:12.png': 5.389644622802734, 'frame_00:13.png': 5.412665367126465, 'frame_00:14.png': 5.491576194763184, 'frame_00:15.png': 5.329388618469238, 'frame_00:16.png': 5.473057270050049, 'frame_00:17.png': 5.5085835456848145, 'frame_00:18.png': 5.436807155609131, 'frame_00:19.png': 5.394988059997559, 'frame_00:20.png': 5.277943134307861}
|
Adam's_Rib_(1949)_-_A_Woman_Scorned_Scene_(4_10)_|_Movieclips
| 0.18592
| 0.686011
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, 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>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], '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>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:16.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:17.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:18.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:19.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:20.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 1
| 1
| 0
|
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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=JxbvOwAB-xI
|
scene_001
| 1
| 112
| 601
|
00:00:04.671
|
00:00:25.067
| 4.671338
| 25.066733
| 20.395395
| 4.671338
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 blond woman is sitting and speaking, captured in a close-up shot. Her hair is styled in an elaborate updo, and she is wearing a dark blouse. The background is a muted grey, with a wooden cabinet featuring a patterned design. The woman's facial expressions shift as she speaks, transitioning from surprise and concern to a slight smile as if trying to lighten the mood. The lighting is soft and even, highlighting her features without creating harsh 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 blond woman in a dark jacket sits and speaks with a serious expression. The black and white footage features dramatic lighting and a vintage set.
|
scene_001_Adam's_Rib_(1949)_-_Contempt_for_the_Law_Scene_(6_10)_|_Movieclips
| 4.598707
|
{'frame_00:00.png': 4.789495468139648, 'frame_00:01.png': 4.461334705352783, 'frame_00:02.png': 4.723840236663818, 'frame_00:03.png': 4.771536350250244, 'frame_00:04.png': 4.616800785064697, 'frame_00:05.png': 4.4653096199035645, 'frame_00:06.png': 4.4510817527771, 'frame_00:07.png': 4.669605255126953, 'frame_00:08.png': 4.40914249420166, 'frame_00:09.png': 4.579156875610352, 'frame_00:10.png': 4.460669994354248, 'frame_00:11.png': 4.184493064880371, 'frame_00:12.png': 4.7425971031188965, 'frame_00:13.png': 4.224565505981445, 'frame_00:14.png': 4.845679759979248, 'frame_00:15.png': 4.849888801574707, 'frame_00:16.png': 5.121618270874023, 'frame_00:17.png': 4.880315780639648, 'frame_00:18.png': 4.70936918258667, 'frame_00:19.png': 4.588606357574463, 'frame_00:20.png': 4.345337867736816, 'frame_00:21.png': 4.2811079025268555}
|
Adam's_Rib_(1949)_-_Contempt_for_the_Law_Scene_(6_10)_|_Movieclips
| 0.051931
| 2.351088
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], '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>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, 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>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial 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'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:16.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:17.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], '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'}]}
| 2.909091
| 2.045455
| 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=POu3JnhEmT4
|
scene_001
| 1
| 424
| 951
|
00:00:17.684
|
00:00:39.665
| 17.684351
| 39.664665
| 21.980314
| 17.684351
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 suit enters a closet from a door in the left of the frame, while a woman enters from the left background into the foreground. The man takes out a jacket, and then a suitcase, and they proceed to have a conversation. He gestures while talking, and holds the jacket over his arm. As he speaks, he buttons the jacket. They continue talking to one another as he looks directly at her, and she looks back at him. The scene is shot in black and white with steady 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 man enters a closet to retrieve a coat, while a woman watches him from the doorway of an adjacent room. The man struggles with the garment, but the couple eventually converse in the confined space.
|
scene_001_Adam's_Rib_(1949)_-_Equality_Scene_(7_10)_|_Movieclips
| 5.235081
|
{'frame_00:00.png': 5.104052543640137, 'frame_00:01.png': 5.155366897583008, 'frame_00:02.png': 5.132516384124756, 'frame_00:03.png': 5.170532703399658, 'frame_00:04.png': 5.091265678405762, 'frame_00:05.png': 5.1492085456848145, 'frame_00:06.png': 5.173684120178223, 'frame_00:07.png': 5.052168846130371, 'frame_00:08.png': 5.10164213180542, 'frame_00:09.png': 5.291250705718994, 'frame_00:10.png': 5.202511787414551, 'frame_00:11.png': 5.221148490905762, 'frame_00:12.png': 5.206273078918457, 'frame_00:13.png': 5.772547721862793, 'frame_00:14.png': 5.7020392417907715}
|
Adam's_Rib_(1949)_-_Equality_Scene_(7_10)_|_Movieclips
| 0.008885
| 0.507377
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, 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>': '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>': '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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side 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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 4.133333
| 3.333333
| 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': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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': 3, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 8: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 9: {'raw_counts': {'person': 3, 'tie': 2, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 10: {'raw_counts': {'person': 3, 'tie': 2, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 11: {'raw_counts': {'person': 3, 'tie': 2, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 12: {'raw_counts': {'person': 3, 'tie': 2, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 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': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}}
| 0.03672
|
[ 1 1 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=hdQOL2aFufE
|
scene_001
| 1
| 381
| 741
|
00:00:15.891
|
00:00:30.906
| 15.890891
| 30.905906
| 15.015015
| 15.890891
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 courtroom setting, a woman with an elaborate headpiece and dark dress sits with a stern expression, glancing slightly to her left. Behind her, two other figures are visible: a man with a neutral expression and another woman in a hat, both partially obscured. The scene then transitions to a person in a suit and tie with a similar serious gaze. Finally, the scene shifts to a woman in a sparkly top, her expression equally grave, as she is surrounded by other people in the courtroom. The atmosphere is tense and serious, with each individual displaying a look of concern or severity.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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
|
This black and white video portrays a courtroom scene with several people in attendance. The video depicts a woman with intense emotion who transitions into a man in a suit and tie.
|
scene_001_Adam's_Rib_(1949)_-_Mutual_Everything_(8_10)_|_Movieclips
| 5.270553
|
{'frame_00:00.png': 5.28055477142334, 'frame_00:01.png': 5.149527549743652, 'frame_00:02.png': 5.409954071044922, 'frame_00:03.png': 5.019542694091797, 'frame_00:04.png': 5.200954914093018, 'frame_00:05.png': 5.0741167068481445, 'frame_00:06.png': 5.316991329193115, 'frame_00:07.png': 5.627272129058838, 'frame_00:08.png': 5.382150650024414, 'frame_00:09.png': 5.061812400817871, 'frame_00:10.png': 5.151960372924805, 'frame_00:11.png': 5.260402679443359, 'frame_00:12.png': 5.292918682098389, 'frame_00:13.png': 5.407435417175293, 'frame_00:14.png': 5.510363578796387, 'frame_00:15.png': 5.454895973205566, 'frame_00:16.png': 5.163476943969727, 'frame_00:17.png': 5.263284683227539, 'frame_00:18.png': 5.149717330932617, 'frame_00:19.png': 5.183927059173584, 'frame_00:20.png': 5.166926383972168, 'frame_00:21.png': 5.423985481262207}
|
Adam's_Rib_(1949)_-_Mutual_Everything_(8_10)_|_Movieclips
| -0.296402
| 0.078948
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], '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'}], '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'}], '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'}]}
| 2.818182
| 2.227273
| 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': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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, 'tie': 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': 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 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': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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}}, 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, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 20: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 21: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 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=8RGjds-aK00
|
scene_001
| 1
| 1,441
| 1,968
|
00:01:00.102
|
00:01:22.082
| 60.101768
| 82.082082
| 21.980314
| 60.101768
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 are sitting next to each other in a close-up black and white scene. The man has dark hair combed back and is wearing a suit and tie. He is turned slightly towards the woman and has his arm around her. The woman has her hair in an updo and is wearing a light-colored blouse with a dark jacket. She looks like she is talking, and makes varying facial expressions while doing so. Her expressions range from sad to animated. The man listens intently, watching her as she talks. They are both indoors, sitting in a room, and there is a dark abstract painting on the wall behind 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
|
The scene is shot in black and white, where a man has his arm around a woman as they are sitting down and talking with varying expressions. They seem to be in deep conversation, possibly dealing with a serious or complicated matter.
|
scene_001_Adam's_Rib_(1949)_-_Vive_Le_Difference_Scene_(10_10)_|_Movieclips
| 4.905851
|
{'frame_00:00.png': 4.440339088439941, 'frame_00:01.png': 4.6604838371276855, 'frame_00:02.png': 4.514800548553467, 'frame_00:03.png': 4.805436134338379, 'frame_00:04.png': 4.3414201736450195, 'frame_00:05.png': 4.279630661010742, 'frame_00:06.png': 4.825736999511719, 'frame_00:07.png': 4.892631530761719, 'frame_00:08.png': 4.988537788391113, 'frame_00:09.png': 5.011693954467773, 'frame_00:10.png': 5.037327766418457, 'frame_00:11.png': 4.1449360847473145, 'frame_00:12.png': 5.064634323120117, 'frame_00:13.png': 5.040775299072266, 'frame_00:14.png': 5.079659461975098, 'frame_00:15.png': 5.304370880126953, 'frame_00:16.png': 5.329781532287598, 'frame_00:17.png': 5.237830638885498, 'frame_00:18.png': 5.370388984680176, 'frame_00:19.png': 5.3825483322143555, 'frame_00:20.png': 5.089550971984863, 'frame_00:21.png': 5.0861968994140625}
|
Adam's_Rib_(1949)_-_Vive_Le_Difference_Scene_(10_10)_|_Movieclips
| 0.172904
| 0.449509
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side 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'}, {'<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>': '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>': 'Balanced'}], '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>': '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'}], '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'}]}
| 1.909091
| 1.681818
| 0
|
{0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'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': 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, 'wine glass': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 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, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 18: {'raw_counts': {'person': 2, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 19: {'raw_counts': {'person': 2, 'potted plant': 1, 'bed': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 20: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 21: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.049208
|
[ 1 1 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=Hl9OzCY9fVE
|
scene_001
| 1
| 142
| 669
|
00:00:05.923
|
00:00:27.903
| 5.922589
| 27.902903
| 21.980314
| 5.922589
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 pajamas opens a door and enters a room where a woman is sitting on a bed, adorned with a floral headdress. The room is decorated with framed silhouette art and lace plates on the wall, creating an intimate atmosphere. She adjusts the lace detailing on her dress, showcasing it to the man as she speaks. He leans in, listening intently, with a concerned expression. The woman gestures to her dress again, holding it up slightly. The conversation continues, with the woman's expression alternating between amusement and seriousness, while the man remains attentive and engaged. The scene concludes with a close-up of the two 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
|
A man in pajamas enters a bedroom and meets a woman in a fancy dress, who turns to show him the design. The woman holds up the collar of her garment and speaks to the man, smiling.
|
scene_001_Adam_Driver_Shoots_Dinosaurs_Scene_-_65_(2023)_|_Movieclips
| 4.891412
|
{'frame_00:00.png': 4.0156402587890625, 'frame_00:01.png': 4.455420970916748, 'frame_00:02.png': 4.793493270874023, 'frame_00:03.png': 5.224771022796631, 'frame_00:04.png': 4.858094692230225, 'frame_00:05.png': 4.274083614349365, 'frame_00:06.png': 5.118139743804932, 'frame_00:07.png': 5.194687843322754, 'frame_00:08.png': 5.271114826202393, 'frame_00:09.png': 4.681180477142334, 'frame_00:10.png': 4.625365734100342, 'frame_00:11.png': 5.138628005981445, 'frame_00:12.png': 5.210134029388428, 'frame_00:13.png': 5.212084770202637, 'frame_00:14.png': 5.298336982727051}
|
Adam_Driver_Shoots_Dinosaurs_Scene_-_65_(2023)_|_Movieclips
| 0.889652
| 0.074634
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 1.2
| 0.666667
| 0.466667
|
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| -0.014619
|
[ 1 -1 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=285GSGx1-7Q
|
scene_001
| 1
| 692
| 1,052
|
00:00:28.862
|
00:00:43.877
| 28.862196
| 43.877211
| 15.015015
| 28.862196
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 dense, misty forest as a figure wearing a light-colored shirt is seen from the back, wielding a futuristic-looking rifle. The figure moves defensively behind foliage, suggesting a state of conflict. The weapon is discharged with a burst of blue light and energy. The scene transitions to a desolate beach with strange, alien-looking rock formations and avian creatures in the sky. A young, blue-skinned person is crouched near a driftwood pile, looking frightened and vulnerable. The camera then focuses on a creature resembling a dinosaur, sneaking through the underbrush, stalking prey. The final shot returns to the blue-skinned person, looking distressed, surrounded by the flying creatures and the barren landscape.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 runs through a misty forest while firing a weapon, followed by a scene where a person huddles in fear as bat-like creatures fly overhead on a rugged beach. The scene evokes a sense of danger and isolation.
|
scene_001_Addams_Family_Values_(1993)_-_Bachelor_Party_Scene_(4_10)_|_Movieclips
| 5.261866
|
{'frame_00:00.png': 5.486785888671875, 'frame_00:01.png': 5.313824653625488, 'frame_00:02.png': 5.28265905380249, 'frame_00:03.png': 5.157412052154541, 'frame_00:04.png': 5.181543827056885, 'frame_00:05.png': 5.381625652313232, 'frame_00:06.png': 5.441801071166992, 'frame_00:07.png': 5.532998085021973, 'frame_00:08.png': 5.403592109680176, 'frame_00:09.png': 4.846735000610352, 'frame_00:10.png': 4.88351583480835, 'frame_00:11.png': 4.947383403778076, 'frame_00:12.png': 5.2131829261779785, 'frame_00:13.png': 5.388562202453613, 'frame_00:14.png': 5.466368675231934}
|
Addams_Family_Values_(1993)_-_Bachelor_Party_Scene_(4_10)_|_Movieclips
| -0.117657
| 1.666745
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], '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>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top 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>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 2.533333
| 2.066667
| 0
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, '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': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 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': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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': 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': 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, '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': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 0.109357
|
[ 1 1 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=D1IshjFWDJk
|
scene_001
| 1
| 315
| 675
|
00:00:13.138
|
00:00:28.153
| 13.138138
| 28.153153
| 15.015015
| 13.138138
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 blue skin and dark hair smiles at the camera, wearing a purple cardigan, light pink trim and a large layered necklace with a large jewel in the center. The scene cuts to two women standing next to one another at a party, both with blue skin, and the women smiling as they engage in conversation. The woman on the left has short blonde hair and is wearing a cream-colored dress and a pearl necklace. The woman on the right has dark hair and is wearing a long black dress. The scene cuts back to the first woman, and she has a big smile on her face. Her eyes widen and she seems surprised. The scene cuts back to the two women at the party; both continue to smile as they converse. The first woman smiles as she gazes in the direction of the camera.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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
|
Various still images showcase a group of pale-skinned women adorned in formal attire, standing amidst what appears to be a grand hall, the low lighting contributing to a somewhat eerie ambiance. The women exchange amused glances, their expressions suggesting a shared understanding or secret.
|
scene_001_Addams_Family_Values_(1993)_-_Bombing_Fester_Scene_(9_10)_|_Movieclips
| 5.205474
|
{'frame_00:00.png': 4.714365482330322, 'frame_00:01.png': 5.359454154968262, 'frame_00:02.png': 5.4271087646484375, 'frame_00:03.png': 5.403025150299072, 'frame_00:04.png': 4.9332475662231445, 'frame_00:05.png': 4.94947624206543, 'frame_00:06.png': 5.392603874206543, 'frame_00:07.png': 5.311668395996094, 'frame_00:08.png': 5.486717224121094, 'frame_00:09.png': 5.527801513671875, 'frame_00:10.png': 5.293949604034424, 'frame_00:11.png': 5.18641471862793, 'frame_00:12.png': 5.2365217208862305, 'frame_00:13.png': 4.695005416870117, 'frame_00:14.png': 5.164745330810547}
|
Addams_Family_Values_(1993)_-_Bombing_Fester_Scene_(9_10)_|_Movieclips
| -0.183631
| 0.31929
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Firelight, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.266667
| 1.2
| 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': 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': 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, 'snowboard': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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}}}
| -0.019743
|
[-1 1 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=yprYw3FQUpQ
|
scene_001
| 1
| 287
| 647
|
00:00:11.970
|
00:00:26.985
| 11.970304
| 26.985319
| 15.015015
| 11.970304
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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, blond hair and a scarf around her head is driving a car at night, with a large house visible in the background. The scene transitions to a blue-toned sequence where the house behind her explodes in a burst of debris, all while she remains composed and focused on driving. The sequence continues to show the explosion in the background, with pieces of the house flying through the air. The focus remains on the woman's face and her steady gaze forward, as she drives through the chaotic scene with a look of determination. The scene ends with the woman driving on a normal day with greeneries on 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 woman wearing a headscarf drives a car as explosions happen around her. The scene is stylized with a cool color grade, enhancing the dramatic mood.
|
scene_001_Addams_Family_Values_(1993)_-_It's_an_Addams!_Scene_(1_10)_|_Movieclips
| 4.856202
|
{'frame_00:00.png': 4.403697967529297, 'frame_00:01.png': 4.440762996673584, 'frame_00:02.png': 4.177519798278809, 'frame_00:03.png': 5.415175437927246, 'frame_00:04.png': 5.000369071960449, 'frame_00:05.png': 4.358888626098633, 'frame_00:06.png': 3.785031795501709, 'frame_00:07.png': 4.619065284729004, 'frame_00:08.png': 5.450289726257324, 'frame_00:09.png': 5.230631351470947, 'frame_00:10.png': 4.972646236419678, 'frame_00:11.png': 5.468813419342041, 'frame_00:12.png': 5.427938938140869, 'frame_00:13.png': 5.045228481292725, 'frame_00:14.png': 5.046972274780273}
|
Addams_Family_Values_(1993)_-_It's_an_Addams!_Scene_(1_10)_|_Movieclips
| 0.1152
| 1.201643
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, 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>': 'Center'}], '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>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 1.8
| 1.133333
| 0
|
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| 0.083102
|
[ 1 1 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=7p0J9wVGwZ0
|
scene_001
| 1
| 569
| 929
|
00:00:23.732
|
00:00:38.747
| 23.732065
| 38.74708
| 15.015015
| 23.732065
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 grips one hand tightly with the other, then begins striking his face with his hands. He laughs, then extends a hand toward someone out of frame. The shot widens to reveal the blue-skinned man dressed in a pinstripe suit and bow tie, laughing as he looks toward a dark-haired woman sitting on a striped couch. She looks directly at the man with a slight smile.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 is shown, who seems to be holding and squeezing a hand. The scene then alternates between him and a woman sitting on a sofa.
|
scene_001_Addams_Family_Values_(1993)_-_Shock_Value_Scene_(10_10)_|_Movieclips
| 5.150743
|
{'frame_00:00.png': 5.343034267425537, 'frame_00:01.png': 5.371079444885254, 'frame_00:02.png': 5.401052474975586, 'frame_00:03.png': 5.054658889770508, 'frame_00:04.png': 5.306669235229492, 'frame_00:05.png': 5.322716236114502, 'frame_00:06.png': 5.466552734375, 'frame_00:07.png': 5.230157375335693, 'frame_00:08.png': 5.20423698425293, 'frame_00:09.png': 5.1783833503723145, 'frame_00:10.png': 5.012401580810547, 'frame_00:11.png': 5.140753746032715, 'frame_00:12.png': 4.871402740478516, 'frame_00:13.png': 4.714686870574951, 'frame_00:14.png': 4.64336633682251}
|
Addams_Family_Values_(1993)_-_Shock_Value_Scene_(10_10)_|_Movieclips
| -0.007772
| 0.053143
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 1.266667
| 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, '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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 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': 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, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 10: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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}}}
| 0.141144
|
[ 1 1 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=PmYdvwAqwDg
|
scene_001
| 1
| 403
| 763
|
00:00:16.808
|
00:00:31.823
| 16.808475
| 31.82349
| 15.015015
| 16.808475
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 reveals a person with blue skin and dark hair, a mustache, and wearing a patterned jacket with a gold collar, gazing slightly upward with a curious expression. Shifting to another individual, similarly adorned with blue skin but now with light-colored, curly hair and wearing a low-cut white dress with a glittering necklace. The person holds a metallic object, their expression one of sadness or contemplation, gazing downward. This individual then looks up and speaks, with dramatic lighting enhancing their features. A subsequent shot shows a person with long, dark hair and blue skin, seated in what appears to be an execution device, looking calmly ahead. The camera then focuses again on the person with light-colored hair and blue skin, still holding the object and speaking, before turning and walking away, the scene fading to 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
|
A person with pale blue skin and dramatic makeup appears in a dark room, while another one is strapped into an electric chair; later, the first individual is holding a device and walks away. There is a feeling of dramatic mystery evoked with the lighting and unusual makeup.
|
scene_001_Addams_Family_Values_(1993)_-_Thanksgiving_Play_Scene_(8_10)_|_Movieclips
| 4.950401
|
{'frame_00:00.png': 5.053680896759033, 'frame_00:01.png': 5.286407470703125, 'frame_00:02.png': 4.908753395080566, 'frame_00:03.png': 5.193618297576904, 'frame_00:04.png': 5.265802383422852, 'frame_00:05.png': 5.001391410827637, 'frame_00:06.png': 4.931824684143066, 'frame_00:07.png': 5.127997398376465, 'frame_00:08.png': 5.020778656005859, 'frame_00:09.png': 5.005004405975342, 'frame_00:10.png': 5.1003570556640625, 'frame_00:11.png': 4.990847587585449, 'frame_00:12.png': 4.291050910949707, 'frame_00:13.png': 4.311570644378662, 'frame_00:14.png': 4.766934394836426}
|
Addams_Family_Values_(1993)_-_Thanksgiving_Play_Scene_(8_10)_|_Movieclips
| 0.061181
| 0.742852
|
{'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Saturated, Orange, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Saturated, Orange, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Saturated, Orange, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Red, Cyan'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.466667
| 2.2
| 0
|
{0: {'raw_counts': {'person': 3, 'laptop': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 4: {'raw_counts': {'person': 1, 'tie': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, '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': 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': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 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': 12, 'total': 12}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 12}}}
| 0.074465
|
[ 1 1 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=v9UIDDlnSgA
|
scene_001
| 1
| 189
| 549
|
00:00:07.883
|
00:00:22.898
| 7.882883
| 22.897898
| 15.015015
| 7.882883
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 theatrical performance unfolds, featuring characters with blue-tinted skin and costumes, set against a backdrop of fabricated colonial buildings. In the foreground, two figures emerge from a booth, their faces reflecting shock as they hold scripts or notes. The surrounding crowd, also uniformly blue, observes the unfolding scene with varying degrees of interest. The play includes a character dressed as a Native American, while another is adorned in Puritan attire. The scene transitions to a suspenseful moment as a blue-skinned figure ascends a tall wooden pole, as other Native American dressed characters looking on. Finally the theater play continues at the settlement village with a large crowd watching the unfolding events.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 this scene, characters with blue skin are seen performing a historical play on a stage. In the crowd, there are other characters with blue skin watching the performance.
|
scene_001_Addams_Family_Values_(1993)_-_The_Happy_Hut_Scene_(6_10)_|_Movieclips
| 4.846455
|
{'frame_00:00.png': 4.421952247619629, 'frame_00:01.png': 4.629878997802734, 'frame_00:02.png': 5.352016925811768, 'frame_00:03.png': 5.389513969421387, 'frame_00:04.png': 4.307915210723877, 'frame_00:05.png': 4.3636474609375, 'frame_00:06.png': 5.0072102546691895, 'frame_00:07.png': 4.998834133148193, 'frame_00:08.png': 5.0731377601623535, 'frame_00:09.png': 4.502459526062012, 'frame_00:10.png': 4.159060001373291, 'frame_00:11.png': 4.995127201080322, 'frame_00:12.png': 5.143903732299805, 'frame_00:13.png': 5.204085350036621, 'frame_00:14.png': 5.148083686828613}
|
Addams_Family_Values_(1993)_-_The_Happy_Hut_Scene_(6_10)_|_Movieclips
| 0.150219
| 1.395941
|
{'frame_00:00.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 3.333333
| 2.4
| 0.4
|
{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, 'teddy bear': 1, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 3: {'raw_counts': {'person': 3, 'teddy bear': 1, 'chair': 2, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 6: {'raw_counts': {'person': 2, 'teddy bear': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 2, 'teddy bear': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 1, 'tv': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 3, 'potted plant': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 2, 'teddy bear': 1, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 14: {'raw_counts': {'person': 2, 'teddy bear': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| 0.132043
|
[ 1 1 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=w80ZSg7kNbE
|
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
|
Two adults, dressed in uniforms, stand in a room and happily hold up rectangular objects while smiling. They are positioned in front of a window covered by patterned curtains, with a poster visible in the background. The scene then cuts to three children sitting on a couch. Their expressions are serious and unsmiling. The setting is a room filled with various toys and framed pictures. The camera focuses on the central child, then shifts to a pair on the right, before finally showing the child on the left. The scene returns to the two adults, who are still smiling. The man is now crouching to operate a television set. Subsequently, the camera again focuses on the pair of children, maintaining their serious 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
|
Camp counselors hold up name tags and look excited as children with solemn expressions watch. The counselors set up a television, looking forward to showing the video.
|
scene_001_Addams_Family_Values_(1993)_-_Which_One_Will_Bounce?_Scene_(2_10)_|_Movieclips
| 4.763638
|
{'frame_00:00.png': 4.727415084838867, 'frame_00:01.png': 4.373784065246582, 'frame_00:02.png': 4.079439163208008, 'frame_00:03.png': 4.547837734222412, 'frame_00:04.png': 4.789237022399902, 'frame_00:05.png': 4.757241725921631, 'frame_00:06.png': 4.687713146209717, 'frame_00:07.png': 4.867391586303711, 'frame_00:08.png': 4.8709001541137695, 'frame_00:09.png': 5.054732799530029, 'frame_00:10.png': 4.928582191467285, 'frame_00:11.png': 4.968982696533203, 'frame_00:12.png': 4.94148063659668, 'frame_00:13.png': 4.98075008392334, 'frame_00:14.png': 4.879075527191162}
|
Addams_Family_Values_(1993)_-_Which_One_Will_Bounce?_Scene_(2_10)_|_Movieclips
| 0.11038
| 1.464256
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.733333
| 1.533333
| 0.2
|
{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': 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'sheep': 2, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 9: {'raw_counts': {'person': 1, 'bird': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, '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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 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, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| 0.010567
|
[-1 1 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=Ke-MYW3XORg
|
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 slow pan upwards reveals two tall, arched windows on a dark wooden building with horizontal siding. As the camera continues upwards, two people come into view standing on what appears to be a rooftop. The figures, a younger boy and girl, are rendered in cool blue tones. The girl is holding a baby swaddled in yellow fabric, and the boy is holding a ball. The girl gazes to the right with a serious expression, and the camera zooms in for a close-up on her face. Her eyes are shadowed and serious. The camera then focuses on the boy next to her, who looks up and to the right with a concerned expression. The lighting is dramatic and cinematic, focusing on the emotion of the figures.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 pair of children, one carrying a doll, stand on a roof at night. The scene is dark, with dramatic lighting highlighting their faces.
|
scene_001_Addams_Family_Values_(1993)_-_Would_You_Die_for_Me?_Scene_(5_10)_|_Movieclips
| 5.069639
|
{'frame_00:00.png': 5.311827659606934, 'frame_00:01.png': 5.420722007751465, 'frame_00:02.png': 5.313447952270508, 'frame_00:03.png': 5.357640743255615, 'frame_00:04.png': 5.381810188293457, 'frame_00:05.png': 5.355265140533447, 'frame_00:06.png': 4.692500591278076, 'frame_00:07.png': 4.064992427825928, 'frame_00:08.png': 5.037733554840088, 'frame_00:09.png': 5.054112434387207, 'frame_00:10.png': 4.974576473236084, 'frame_00:11.png': 5.179941177368164, 'frame_00:12.png': 5.000506401062012, 'frame_00:13.png': 5.024586200714111, 'frame_00:14.png': 4.8749189376831055}
|
Addams_Family_Values_(1993)_-_Would_You_Die_for_Me?_Scene_(5_10)_|_Movieclips
| 0.394559
| 0.270296
|
{'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, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left 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>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.4
| 0.866667
| 0.2
|
{0: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'oven': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 7: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 8: {'raw_counts': {'person': 1, 'tv': 1, 'bowl': 1, 'car': 1, 'potted plant': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 3, 'total': 5}}, 9: {'raw_counts': {'tv': 1, 'person': 1, 'bowl': 1, 'car': 1, 'potted plant': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 3, 'total': 5}}, 10: {'raw_counts': {'tv': 1, 'person': 1, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 3}}, 11: {'raw_counts': {'tv': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'tv': 1, 'potted plant': 1, 'vase': 1, 'person': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 13: {'raw_counts': {'person': 2, 'potted plant': 1, 'vase': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 14: {'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}}}
| 0.034118
|
[ 1 1 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=oK1zfJausVM
|
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
|
A bald, blue-skinned man smiles from a tub filled with bubbles, with a silver metal railing running around the outside of the tub. The scene cuts to a silver boombox on the floor next to some electrical cords. The camera pans up to reveal a woman with blue skin wearing a gold robe, holding the boombox. She stands near the tub where the blue-skinned man bathes. A large green plant stands next to her, partially obscuring a framed picture on the wall. She continues to hold the boombox at waist level as she is captured in the dramatic lighting of 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
|
A blue-skinned figure is shown submerged in a bubble-filled bathtub, followed by a matching woman in a robe who picks up a boombox in the bathroom. The lighting and color tones give the scene a cool and eerie atmosphere.
|
scene_001_Adventureland_(10_12)_Movie_CLIP_-_You_Wanna_End_This?_(2009)_HD
| 4.727613
|
{'frame_00:00.png': 4.687183856964111, 'frame_00:01.png': 4.9459547996521, 'frame_00:02.png': 4.96822452545166, 'frame_00:03.png': 4.984483242034912, 'frame_00:04.png': 4.915448188781738, 'frame_00:05.png': 4.687788486480713, 'frame_00:06.png': 4.971351623535156, 'frame_00:07.png': 4.629866123199463, 'frame_00:08.png': 4.605774879455566, 'frame_00:09.png': 4.570504188537598, 'frame_00:10.png': 4.56012487411499, 'frame_00:11.png': 4.756293773651123, 'frame_00:12.png': 4.4130449295043945, 'frame_00:13.png': 4.541896820068359, 'frame_00:14.png': 4.676252841949463}
|
Adventureland_(10_12)_Movie_CLIP_-_You_Wanna_End_This?_(2009)_HD
| -0.218164
| 1.56373
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Red, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.266667
| 1.733333
| 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': 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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': {'car': 2, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 12: {'raw_counts': {'car': 3, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'car': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'car': 2, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}}
| 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=TvTdzkWNq28
|
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
|
A man stands close, gently touching a woman's head with both hands, seemingly in a comforting gesture, as she looks downwards and then up at him, their faces illuminated by a cool, blue light; the scene then shifts to an exterior night shot of an older model car driving down a well-lit urban street, showcasing its rear with illuminated blue lights around the license plate, before turning onto a darker, tree-lined residential street.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 tense scene unfolds indoors as a man places his hands on a woman's head, seemingly trying to calm her. The sequence then transitions to nighttime exterior shots of a car driving down city streets, illuminated by streetlights.
|
scene_001_Adventureland_(11_12)_Movie_CLIP_-_I'm_Sorry_(2009)_HD
| 4.912034
|
{'frame_00:00.png': 5.078965187072754, 'frame_00:01.png': 4.992056369781494, 'frame_00:02.png': 4.756016731262207, 'frame_00:03.png': 4.5953288078308105, 'frame_00:04.png': 4.431628704071045, 'frame_00:05.png': 5.311193943023682, 'frame_00:06.png': 4.861269950866699, 'frame_00:07.png': 4.6222076416015625, 'frame_00:08.png': 4.588598728179932, 'frame_00:09.png': 5.319425582885742, 'frame_00:10.png': 4.992049694061279, 'frame_00:11.png': 5.043697357177734, 'frame_00:12.png': 5.142604827880859, 'frame_00:13.png': 5.142319679260254, 'frame_00:14.png': 4.803150653839111}
|
Adventureland_(11_12)_Movie_CLIP_-_I'm_Sorry_(2009)_HD
| 0.094167
| 2.152607
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<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>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.066667
| 1.466667
| 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': {'umbrella': 1, 'car': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 2}}, 6: {'raw_counts': {'umbrella': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 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': 1, 'umbrella': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'handbag': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 2, 'cell phone': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 3, 'cell phone': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 14: {'raw_counts': {'person': 2, 'cell phone': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 0.094227
|
[ 1 1 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=ZlGg7QIlGp8
|
scene_001
| 1
| 109
| 469
|
00:00:04.546
|
00:00:19.561
| 4.546213
| 19.561228
| 15.015015
| 4.546213
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 emerges from a dark doorway covered in graffiti, looking apprehensive. As he steps out, it begins to rain heavily. He looks up and then towards a figure under an umbrella across the street. The figure is a young woman, who appears startled and speaks with a look of concern. The two figures then appear to begin a conversation in the rain with dramatic lighting. The young man is wearing a jacket and carrying a bag, gesturing with his hands as he speaks. The woman is wearing a hooded jacket and holding the umbrella.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 young man emerges from a graffiti-covered alleyway into the rain; as he is greeted by a woman with an umbrella, he spreads his arms with a perplexed expression. The scene is cast in a blue-tinted light, emphasizing the stormy atmosphere.
|
scene_001_Adventureland_(2_12)_Movie_CLIP_-_I_Can_Give_You_a_Ride_(2009)_HD
| 4.671504
|
{'frame_00:00.png': 4.603998184204102, 'frame_00:01.png': 4.3872270584106445, 'frame_00:02.png': 4.3347601890563965, 'frame_00:03.png': 3.962582588195801, 'frame_00:04.png': 4.708343505859375, 'frame_00:05.png': 4.743177890777588, 'frame_00:06.png': 4.726156234741211, 'frame_00:07.png': 4.796249866485596, 'frame_00:08.png': 4.9589643478393555, 'frame_00:09.png': 4.47952127456665, 'frame_00:10.png': 4.474161148071289, 'frame_00:11.png': 4.574711799621582, 'frame_00:12.png': 5.014612197875977, 'frame_00:13.png': 5.078000068664551, 'frame_00:14.png': 5.230098247528076}
|
Adventureland_(2_12)_Movie_CLIP_-_I_Can_Give_You_a_Ride_(2009)_HD
| -0.277871
| 1.29937
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 1.6
| 1.2
| 0.333333
|
{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': {'bird': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, '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, '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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 1, 'cell phone': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 10: {'raw_counts': {'person': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, '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, 'bird': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, '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}}}
| 0.118079
|
[ 1 1 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=-nX_jQxWFN4
|
scene_001
| 1
| 31
| 391
|
00:00:01.293
|
00:00:16.308
| 1.29296
| 16.307975
| 15.015015
| 1.29296
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 dark hair and glasses lighting a smoking device, exhaling vapor. Two other individuals, a man with curly hair and a woman with long dark hair, are also present. They appear to be standing outside at night, under blue tinted lighting. The focus shifts from the man with glasses exhaling vapor to the other two individuals, before returning to the man with glasses. A blurred streetlight can be seen in the background. The woman appears to be speaking, while the two men alternate between looking at the smoking device and at the woman. The shot composition gives each character equal screen time as they interact.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 glasses is smoking near two other individuals, while a deep blue lighting creates an intense atmosphere around them. The overall scene depicts a late-night or clandestine encounter under unusual lighting conditions.
|
scene_001_Adventureland_(3_12)_Movie_CLIP_-_Boner!_(2009)_HD
| 4.92048
|
{'frame_00:00.png': 4.971273422241211, 'frame_00:01.png': 4.8622517585754395, 'frame_00:02.png': 4.757539749145508, 'frame_00:03.png': 4.858478546142578, 'frame_00:04.png': 4.985286712646484, 'frame_00:05.png': 5.12064266204834, 'frame_00:06.png': 4.530506134033203, 'frame_00:07.png': 4.4116950035095215, 'frame_00:08.png': 5.160953044891357, 'frame_00:09.png': 5.116458892822266, 'frame_00:10.png': 5.323051452636719, 'frame_00:11.png': 4.496120929718018, 'frame_00:12.png': 4.809013843536377, 'frame_00:13.png': 5.225883483886719, 'frame_00:14.png': 5.178045272827148}
|
Adventureland_(3_12)_Movie_CLIP_-_Boner!_(2009)_HD
| -0.007704
| 0.508309
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 3.266667
| 1.933333
| 0.4
|
{0: {'raw_counts': {'cow': 1, 'horse': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'cow': 1, 'horse': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {'cow': 1, 'person': 5, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 3: {'raw_counts': {'cow': 1, 'person': 3, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 4: {'raw_counts': {'person': 1, 'sports ball': 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, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 3, 'chair': 3, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 6}}, 9: {'raw_counts': {'person': 4, 'chair': 2, 'dining table': 1, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 10: {'raw_counts': {'person': 4, 'chair': 4, 'tv': 1, 'total': 9}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 9}}, 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, 'tv': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'tv': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 0.111371
|
[ 1 1 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=rMWZUV287WA
|
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
|
At night, a man stands at the edge of a pool, taking off his shoes. The pool water appears to be murky and yellow under the artificial lighting. In the pool, a woman treads water, smiling slightly as she looks towards the man. The scene is lit with a dramatic blue tone, highlighting the house's architecture in the background. Through the sliding glass doors of the house, silhouettes of people inside are visible. The camera focuses on the man as he stands by the pool, then shifts to a close-up of the woman in the water. The lighting gives her skin a distinctly blue tint. The camera then pans back to the man, capturing the full scene once more.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 their shoes and prepares to enter a brightly lit swimming pool at night, while another person is already in the water. The scene is lit with cool tones, creating a contrast between the yellow water and the blue ambiance.
|
scene_001_Adventureland_(4_12)_Movie_CLIP_-_Lisa_P's_Back!_(2009)_HD
| 5.12625
|
{'frame_00:00.png': 5.119435787200928, 'frame_00:01.png': 5.220573902130127, 'frame_00:02.png': 5.293940544128418, 'frame_00:03.png': 5.181307792663574, 'frame_00:04.png': 5.201625347137451, 'frame_00:05.png': 5.277458190917969, 'frame_00:06.png': 5.365078449249268, 'frame_00:07.png': 5.662318706512451, 'frame_00:08.png': 4.800580978393555, 'frame_00:09.png': 4.850052356719971, 'frame_00:10.png': 4.682396411895752, 'frame_00:11.png': 4.679947376251221, 'frame_00:12.png': 4.899567604064941, 'frame_00:13.png': 5.367605209350586, 'frame_00:14.png': 5.291862487792969}
|
Adventureland_(4_12)_Movie_CLIP_-_Lisa_P's_Back!_(2009)_HD
| 0.810907
| 1.191433
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Orange, Yellow'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Blue, Magenta'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Cyan'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated, Blue, Magenta'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Blue, Magenta'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 4.8
| 4.466667
| 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': 2, 'train': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 11, 'total': 11}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 11}}, 9: {'raw_counts': {'person': 9, 'backpack': 1, 'airplane': 1, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 11}}, 10: {'raw_counts': {'person': 10, 'handbag': 1, 'total': 11}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}, 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': 6, 'chair': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 14: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}}
| 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=kGViaTOfSow
|
scene_001
| 1
| 342
| 702
|
00:00:14.264
|
00:00:29.279
| 14.264264
| 29.279279
| 15.015015
| 14.264264
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 young men with blue skin sit and look around in a room bathed in blue light, with a sign reading "NO SIDE SHOTS NO REBOUNDS" visible. The man on the left is leaning against a wall, and both are wearing gold t-shirts. The scene cuts to a wide outdoor shot of people with blue skin standing in line for an amusement park ride that is also bathed in blue light, along with balloons. The scene cuts again, this time capturing in close-up two young women with blue skin, both holding frozen treats and wearing pink t-shirts with "RIDES" written on them multiple 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
|
The scene is dominated by a cool blue tint, where two men in matching shirts are seen relaxing in a game area, later joined by a large crowd of blue-skinned people enjoying rides and eating ice cream. The atmosphere is surreal, marked by the monochromatic filter.
|
scene_001_Adventureland_(6_12)_Movie_CLIP_-_Lisa_P__Asks_James_Out_(2009)_HD
| 4.692671
|
{'frame_00:00.png': 4.4162187576293945, 'frame_00:01.png': 4.0155229568481445, 'frame_00:02.png': 4.156387805938721, 'frame_00:03.png': 4.806604385375977, 'frame_00:04.png': 4.6510491371154785, 'frame_00:05.png': 4.634178638458252, 'frame_00:06.png': 4.630123615264893, 'frame_00:07.png': 4.844482421875, 'frame_00:08.png': 4.846481800079346, 'frame_00:09.png': 4.669631481170654, 'frame_00:10.png': 4.834134101867676, 'frame_00:11.png': 4.850587844848633, 'frame_00:12.png': 4.731278419494629, 'frame_00:13.png': 4.898351192474365, 'frame_00:14.png': 5.010970115661621, 'frame_00:15.png': 4.609683990478516, 'frame_00:16.png': 5.116394996643066, 'frame_00:17.png': 4.436483383178711, 'frame_00:18.png': 5.012841701507568, 'frame_00:19.png': 4.7959394454956055, 'frame_00:20.png': 4.78349494934082, 'frame_00:21.png': 4.487913608551025}
|
Adventureland_(6_12)_Movie_CLIP_-_Lisa_P__Asks_James_Out_(2009)_HD
| 0.354999
| 2.777179
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Red, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:15.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:16.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:17.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:18.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:19.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:20.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:21.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.590909
| 1.772727
| 0.045455
|
{0: {'raw_counts': {'person': 2, 'umbrella': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 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': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, '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, 'sports ball': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 9: {'raw_counts': {'person': 2, 'bus': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 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': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 12: {'raw_counts': {'person': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 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': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 15: {'raw_counts': {'person': 1, 'bus': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 16: {'raw_counts': {'person': 1, 'bus': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 17: {'raw_counts': {'person': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 18: {'raw_counts': {'person': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 19: {'raw_counts': {'person': 2, 'bus': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 20: {'raw_counts': {'person': 1, 'bus': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 21: {'raw_counts': {'person': 3, 'bus': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}}
| 0.141144
|
[ 1 1 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=JXEpQzze8Wo
|
scene_001
| 1
| 240
| 767
|
00:00:10.010
|
00:00:31.990
| 10.01001
| 31.990324
| 21.980314
| 10.01001
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 with curly hair, wearing a t-shirt and black pants, stands near a height requirement sign that reads "Mateys must be this tall" with an illustration of a parrot, before turning to approach a woman in a purple outfit at a brightly-painted ride booth; the man stands next to the booth and briefly speaks with the woman inside.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 young person in an amusement park uniform walks into a ride booth to talk with another amusement park worker. They engage in a conversation in front of a colorful, flower-decorated ride.
|
scene_001_Adventureland_(7_12)_Movie_CLIP_-_A_Date_with_Lisa_P__(2009)_HD
| 5.021346
|
{'frame_00:00.png': 5.287395477294922, 'frame_00:01.png': 5.190549373626709, 'frame_00:02.png': 5.068190574645996, 'frame_00:03.png': 5.1058759689331055, 'frame_00:04.png': 5.1921844482421875, 'frame_00:05.png': 5.208843231201172, 'frame_00:06.png': 4.9340338706970215, 'frame_00:07.png': 4.5672526359558105, 'frame_00:08.png': 4.932254791259766, 'frame_00:09.png': 5.062082767486572, 'frame_00:10.png': 4.9544830322265625, 'frame_00:11.png': 4.988903045654297, 'frame_00:12.png': 4.961716651916504, 'frame_00:13.png': 4.901330471038818, 'frame_00:14.png': 4.9651007652282715}
|
Adventureland_(7_12)_Movie_CLIP_-_A_Date_with_Lisa_P__(2009)_HD
| -0.021809
| 3.095231
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.4
| 2.133333
| 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=kYlPy24WJzU
|
scene_001
| 1
| 111
| 471
|
00:00:04.630
|
00:00:19.645
| 4.62963
| 19.644645
| 15.015015
| 4.62963
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 scene bathed in blue light depicts a woman with curly hair and a yellow jacket, adorned with shimmering embellishments, holding a wine glass. Her face, painted in the same blue hue as her surroundings, is accentuated with purple lipstick and gold eyeshadow. She gazes downward before looking up and smiling subtly. The camera shifts to a man with curly hair, also bathed in blue, wearing a checkered shirt. He looks upward with a slight smile, then lowers his gaze and closes his eyes briefly. The blue lighting casts an otherworldly glow over the scene, enhancing the characters' features and the overall surreal 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
|
Under a blue lighting, a woman sips a drink, smiles at someone, and turns as a man looks down and up. The scene suggests a date or encounter in a dimly lit environment.
|
scene_001_Adventureland_(8_12)_Movie_CLIP_-_Tokin'_on_the_Job_(2009)_HD
| 5.015115
|
{'frame_00:00.png': 4.42807149887085, 'frame_00:01.png': 4.266289710998535, 'frame_00:02.png': 4.845274448394775, 'frame_00:03.png': 5.0201311111450195, 'frame_00:04.png': 4.950494289398193, 'frame_00:05.png': 5.088460445404053, 'frame_00:06.png': 5.230669021606445, 'frame_00:07.png': 5.146185874938965, 'frame_00:08.png': 5.155316352844238, 'frame_00:09.png': 4.799196243286133, 'frame_00:10.png': 5.35706901550293, 'frame_00:11.png': 4.906691074371338, 'frame_00:12.png': 5.506345748901367, 'frame_00:13.png': 5.360223770141602, 'frame_00:14.png': 5.16630744934082}
|
Adventureland_(8_12)_Movie_CLIP_-_Tokin'_on_the_Job_(2009)_HD
| 0.916957
| 7.420923
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Red, Yellow'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 3
| 2.266667
| 0.6
|
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| 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=r1S-yBBZsDI
|
scene_001
| 1
| 598
| 958
|
00:00:24.942
|
00:00:39.957
| 24.941608
| 39.956623
| 15.015015
| 24.941608
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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, all painted in blue, are visible against a blurred background of lights, and the view shifts to a man with a mustache and a brown jacket talking to someone off-screen, as a blue-painted woman stands next to him. The shot cuts to a blue-painted man with curly hair holding a microphone and a stuffed animal. He is speaking and gesturing. The view shifts back to the man with the mustache and the blue-painted woman, standing side-by-side as they observe something off-screen. The scene concludes with a close-up of the man with curly hair, still holding the microphone and stuffed animal.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 with a mustache watch someone speaking into a microphone. The setting is a carnival with plush toy prizes and lights in the background.
|
scene_001_Adventureland_(9_12)_Movie_CLIP_-_People_Are_Trying_to_Kill_Me_(2009)_HD
| 4.781705
|
{'frame_00:00.png': 5.217144966125488, 'frame_00:01.png': 5.282097816467285, 'frame_00:02.png': 4.757166385650635, 'frame_00:03.png': 5.300522804260254, 'frame_00:04.png': 5.102895736694336, 'frame_00:05.png': 4.255531311035156, 'frame_00:06.png': 4.30520486831665, 'frame_00:07.png': 4.4942402839660645, 'frame_00:08.png': 5.200006484985352, 'frame_00:09.png': 4.556011199951172, 'frame_00:10.png': 4.609358310699463, 'frame_00:11.png': 4.540700435638428, 'frame_00:12.png': 4.659109115600586, 'frame_00:13.png': 4.75051212310791, 'frame_00:14.png': 4.695072650909424}
|
Adventureland_(9_12)_Movie_CLIP_-_People_Are_Trying_to_Kill_Me_(2009)_HD
| -0.125732
| 0.622281
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Magenta'}, {'<LIGHTING>': 'Soft 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, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue, Magenta'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 4.733333
| 4
| 0.333333
|
{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, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 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': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 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': 6, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 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': 3, 'sports ball': 2, 'teddy bear': 4, 'total': 9}, 'bucketed_counts': {'humans': 3, 'animals': 4, 'vehicles': 0, 'food': 0, 'others': 2, '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': 5, 'frisbee': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 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': 9, 'tie': 1, 'horse': 1, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 11}}}
| 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=TEmvPX06cJo
|
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 images show people with blue skin tones. One image shows a curly-haired man and a woman smiling and looking towards something out of frame. Subsequent images show different people also with a blue hue, some in groups, standing near a game booth with stuffed animals as prizes. The lighting is cool and gives a surreal atmosphere to the scene. Some are captured in close-up, revealing details like clothing and facial expressions, while others show the wider setting of what appears to be a fairground or amusement park.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 cast in blue light, showcasing various characters at an amusement park game, interacting with the game operator. Some participants appear frustrated, while others look on, adding to the dimly lit, atmospheric ambiance.
|
scene_001_Aeon_Flux_(2_10)_Movie_CLIP_-_Welcome_to_Bregna_(2005)_HD
| 4.887959
|
{'frame_00:00.png': 4.721592426300049, 'frame_00:01.png': 4.8973469734191895, 'frame_00:02.png': 4.579063892364502, 'frame_00:03.png': 4.422743797302246, 'frame_00:04.png': 4.513201713562012, 'frame_00:05.png': 4.365103244781494, 'frame_00:06.png': 4.421286106109619, 'frame_00:07.png': 4.755736827850342, 'frame_00:08.png': 5.394644260406494, 'frame_00:09.png': 5.3986053466796875, 'frame_00:10.png': 5.490970611572266, 'frame_00:11.png': 5.226177215576172, 'frame_00:12.png': 5.29755973815918, 'frame_00:13.png': 5.366098880767822, 'frame_00:14.png': 4.469249248504639}
|
Aeon_Flux_(2_10)_Movie_CLIP_-_Welcome_to_Bregna_(2005)_HD
| 0.072765
| 2.376688
|
{'frame_00:00.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Red, Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Red, Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Red, Cyan'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Green, Cyan, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 6.2
| 4.866667
| 0.066667
|
{0: {'raw_counts': {'person': 9, 'motorcycle': 1, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 10}}, 1: {'raw_counts': {'person': 11, 'total': 11}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 11}}, 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 2, 'tie': 4, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 6: {'raw_counts': {'person': 3, 'tie': 2, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 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': 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': 12, 'umbrella': 2, 'handbag': 2, 'total': 16}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 16}}, 12: {'raw_counts': {'person': 12, 'handbag': 2, 'umbrella': 2, 'total': 16}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 16}}, 13: {'raw_counts': {'person': 12, 'handbag': 2, 'umbrella': 2, 'total': 16}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 16}}, 14: {'raw_counts': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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=rwk6Obqrj9M
|
scene_001
| 1
| 226
| 586
|
00:00:09.426
|
00:00:24.441
| 9.426093
| 24.441108
| 15.015015
| 9.426093
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 crowd of blue-skinned people walking in an outdoor space. A futuristic-looking bicycle is leaning against some stairs. A blue-skinned man in a brown jacket and purple undershirt walks down the steps. He stops and talks to another blue-skinned man in a brown jacket. Close-up shots capture their faces as they converse. Afterward, there are a series of stylized portraits of a man with a blue skin tone. The portraits are displayed against patterned backgrounds with circles and floral designs. Finally, the scene cuts to a wide shot of the park, showing more of the blue-skinned people walking along a path lined with trees and statues, leading towards a fountain in the distance. The sky is overcast, and a small, white, pod-like vehicle flies overhead.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 shows a group of blue-skinned people walking around a park with a futuristic bicycle. Several portraits of one of the individuals are displayed before a futuristic vehicle flies through the air.
|
scene_001_Aeon_Flux_(5_10)_Movie_CLIP_-_Why_Do_I_Feel_This_Way?_(2005)_HD
| 5.045509
|
{'frame_00:00.png': 5.214897155761719, 'frame_00:01.png': 5.325249671936035, 'frame_00:02.png': 5.262587547302246, 'frame_00:03.png': 5.359630584716797, 'frame_00:04.png': 5.2655816078186035, 'frame_00:05.png': 5.168075084686279, 'frame_00:06.png': 5.282103061676025, 'frame_00:07.png': 5.1886725425720215, 'frame_00:08.png': 4.926761627197266, 'frame_00:09.png': 5.284493446350098, 'frame_00:10.png': 4.594458103179932, 'frame_00:11.png': 4.611782073974609, 'frame_00:12.png': 4.765217304229736, 'frame_00:13.png': 4.625438213348389, 'frame_00:14.png': 4.807680606842041}
|
Aeon_Flux_(5_10)_Movie_CLIP_-_Why_Do_I_Feel_This_Way?_(2005)_HD
| 0.152672
| 0.713451
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.133333
| 2.066667
| 0
|
{0: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 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': 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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': 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': 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, '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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}}
| 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=TiHM7F5EUaI
|
scene_001
| 1
| 36
| 396
|
00:00:01.502
|
00:00:16.517
| 1.501502
| 16.516517
| 15.015015
| 1.501502
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 dark coat, illuminated by a stark blue light, is confronted by a woman with short, dark hair and blue skin, her hand gripping his tie. The lighting casts deep shadows, emphasizing the tension of the moment as the woman speaks intensely, her expression fierce. She reaches up, pulling him close, their faces inches apart, the scene escalating into a near-kiss, the intensity building with each frame, showcasing a raw and charged interaction. The blue lighting saturates the scene, enhancing the otherworldly atmosphere and the characters' heightened emotions.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 tense scene unfolds under blue lighting, as a woman confronts a man, then grabs his collar as they move in for a dramatic, close-up kiss. The mood is intense and uncertain.
|
scene_001_After_Earth_(2013)_-_Baboon_Attack_Scene_(4_10)_|_Movieclips
| 5.226136
|
{'frame_00:00.png': 4.988982200622559, 'frame_00:01.png': 5.389303684234619, 'frame_00:02.png': 5.429614543914795, 'frame_00:03.png': 5.26908540725708, 'frame_00:04.png': 5.504814147949219, 'frame_00:05.png': 5.718947410583496, 'frame_00:06.png': 5.7383294105529785, 'frame_00:07.png': 4.9696879386901855, 'frame_00:08.png': 5.0828471183776855, 'frame_00:09.png': 4.9030914306640625, 'frame_00:10.png': 4.982888221740723, 'frame_00:11.png': 5.083249568939209, 'frame_00:12.png': 4.969113826751709, 'frame_00:13.png': 5.029407501220703, 'frame_00:14.png': 5.332671165466309}
|
After_Earth_(2013)_-_Baboon_Attack_Scene_(4_10)_|_Movieclips
| -0.058613
| 2.174988
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1
| 0.933333
| 0.066667
|
{0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': 1, 'total': 1}, '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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.136683
|
[ 1 1 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=t-lIuwPGT9w
|
scene_001
| 1
| 105
| 465
|
00:00:04.379
|
00:00:19.394
| 4.379379
| 19.394394
| 15.015015
| 4.379379
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 dense, verdant forest setting unfolds as a figure walks through the foliage near a fallen tree. The individual's skin has a brownish tone. The camera shifts to a blue-skinned youth, looking up and slightly to the left, conveying a sense of surprise or concern. The youth has a sword strapped to their back and is wearing clothes with patterned holes. The scene then transitions to a person with blue skin talking, they are in a high-tech environment surrounded by yellow lines that look like topography. The scene goes back to the blue skinned youth in the forest again who looks concerned.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 humanoid treks through a dense, green forest while communicating through a holographic display with another blue-skinned humanoid. The scene is filled with lush vegetation and dramatic lighting.
|
scene_001_After_Earth_(2013)_-_Blood_Contamination_Scene_(5_10)_|_Movieclips
| 4.630373
|
{'frame_00:00.png': 4.819650173187256, 'frame_00:01.png': 4.717767238616943, 'frame_00:02.png': 5.223093509674072, 'frame_00:03.png': 5.029790878295898, 'frame_00:04.png': 5.116952419281006, 'frame_00:05.png': 5.120447158813477, 'frame_00:06.png': 4.0488600730896, 'frame_00:07.png': 4.483016014099121, 'frame_00:08.png': 4.292684555053711, 'frame_00:09.png': 4.5991597175598145, 'frame_00:10.png': 4.754191875457764, 'frame_00:11.png': 4.027848243713379, 'frame_00:12.png': 5.193452835083008, 'frame_00:13.png': 4.313759803771973, 'frame_00:14.png': 3.7149229049682617}
|
After_Earth_(2013)_-_Blood_Contamination_Scene_(5_10)_|_Movieclips
| -0.354815
| 3.178193
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.133333
| 0.733333
| 0.4
|
{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': {'dog': 1, 'elephant': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'elephant': 1, 'person': 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': {'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': {'bird': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}}
| 0.073277
|
[ 1 1 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=eMgfTq1Z2n8
|
scene_001
| 1
| 143
| 503
|
00:00:05.964
|
00:00:20.979
| 5.964298
| 20.979313
| 15.015015
| 5.964298
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 forest with tall trees, a blue-skinned humanoid figure wearing a long-sleeved garment leans down, hand outstretched towards the ferns on the forest floor. The figure examines their blue-toned hands, a translucent slug-like creature crawling on one hand. The humanoid figure standing indoors in a room with a transparent wall, an indistinct image visible behind. The scene returns to the forest floor and a close-up of the humanoid figure's blue arm.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it 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 crawling through the woods before examining his hand, showing a cut with a slug. He stares blankly ahead, standing in a futuristic room.
|
scene_001_After_Earth_(2013)_-_Fear_is_a_Choice_Scene_(6_10)_|_Movieclips
| 4.695841
|
{'frame_00:00.png': 4.44990348815918, 'frame_00:01.png': 4.463808536529541, 'frame_00:02.png': 4.478339672088623, 'frame_00:03.png': 4.406519889831543, 'frame_00:04.png': 4.58352518081665, 'frame_00:05.png': 4.841705799102783, 'frame_00:06.png': 4.987283706665039, 'frame_00:07.png': 5.170088768005371, 'frame_00:08.png': 4.731875419616699, 'frame_00:09.png': 4.802210807800293, 'frame_00:10.png': 4.853049278259277, 'frame_00:11.png': 4.748386383056641, 'frame_00:12.png': 4.67338228225708, 'frame_00:13.png': 4.635400772094727, 'frame_00:14.png': 4.612138748168945}
|
After_Earth_(2013)_-_Fear_is_a_Choice_Scene_(6_10)_|_Movieclips
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{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Right 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=SV8jbzudYJ8
|
scene_001
| 1
| 1,459
| 1,819
|
00:01:00.853
|
00:01:15.868
| 60.852519
| 75.867534
| 15.015015
| 60.852519
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 person sits in the dark, the scene illuminated with dramatic lighting, creating a somber atmosphere. The individual looks up and to the right with an expression that suggests concern or anticipation. The background is slightly blurred, hinting at the surroundings without providing sharp details, and the focus is tightly on the person's face, capturing their emotional state in close-up.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 setting, a young person sits with a somber expression, illuminated by subtle, ambient light. The scene evokes a sense of solitude and contemplation, with muted colors and shadowy background elements adding to the introspective mood.
|
scene_001_After_Earth_(2013)_-_I'm_Not_a_Coward!_Scene_(7_10)_|_Movieclips
| 5.212549
|
{'frame_00:00.png': 5.475213050842285, 'frame_00:01.png': 5.44905948638916, 'frame_00:02.png': 5.850685119628906, 'frame_00:03.png': 5.316040992736816, 'frame_00:04.png': 5.598128318786621, 'frame_00:05.png': 4.862074375152588, 'frame_00:06.png': 5.056779384613037, 'frame_00:07.png': 4.822771072387695, 'frame_00:08.png': 4.972270488739014, 'frame_00:09.png': 5.02795934677124, 'frame_00:10.png': 4.913858413696289, 'frame_00:11.png': 4.977065563201904, 'frame_00:12.png': 4.959815979003906, 'frame_00:13.png': 5.577275276184082, 'frame_00:14.png': 5.329239845275879}
|
After_Earth_(2013)_-_I'm_Not_a_Coward!_Scene_(7_10)_|_Movieclips
| 0.147813
| 1.941261
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<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>': 'Daylight, Overcast'}, {'<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>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}]}
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| 0.126956
|
[ 1 1 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=4KICpbB5YQY
|
scene_001
| 1
| 67
| 427
|
00:00:02.794
|
00:00:17.809
| 2.794461
| 17.809476
| 15.015015
| 2.794461
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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
|
Against a backdrop of a cloudy sky, a figure stands atop a rocky peak, clad in a dark, fitted suit, a weapon strapped to their back; they start to walk forward, towards the camera, while the sky and landscape stretch behind them; the camera switches to an interior scene of a person with blue skin wearing a uniform and surrounded by wreckage; a digital display flickers with medical readouts of a heart rate monitor, and a skeletal image; then the camera reverts to a close-up of a younger version of the person on the mountaintop, also with blue skin, who begins to shout with apparent distress.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 blue skin stands on a rocky peak against a cloudy sky, while a monitor displays vital signs, later another blue-skinned person calls out from the peak. The monitor shows the heart rate rising.
|
scene_001_After_Earth_(2013)_-_The_Asteroid_Storm_Scene_(2_10)_|_Movieclips
| 4.942929
|
{'frame_00:00.png': 4.8495869636535645, 'frame_00:01.png': 4.90568208694458, 'frame_00:02.png': 4.8910980224609375, 'frame_00:03.png': 4.822333335876465, 'frame_00:04.png': 4.706835746765137, 'frame_00:05.png': 4.661609172821045, 'frame_00:06.png': 4.946329593658447, 'frame_00:07.png': 4.955834865570068, 'frame_00:08.png': 5.039824485778809, 'frame_00:09.png': 5.054111957550049, 'frame_00:10.png': 5.153437614440918, 'frame_00:11.png': 5.093946933746338, 'frame_00:12.png': 5.020784378051758, 'frame_00:13.png': 4.94191312789917, 'frame_00:14.png': 5.10059928894043}
|
After_Earth_(2013)_-_The_Asteroid_Storm_Scene_(2_10)_|_Movieclips
| -0.029974
| 0.900185
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 2.266667
| 2.2
| 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': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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': 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 11: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 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': 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}}}
| 0.070421
|
[ 1 1 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=1Zwl6vfqjNQ
|
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
|
The scene unfolds with a blue-skinned man in a yellow uniform standing inside a dimly lit, industrial-looking room. The lighting is subdued, with the primary illumination coming from above and casting long shadows, creating a dramatic effect. Initially, the focus is solely on the man, who seems to be observing something with a slightly concerned expression.
As the scene progresses, two more blue-skinned figures appear, seated in what appears to be the cockpit of a vehicle or spacecraft. They are younger, with similarly colored uniforms. The lighting shifts slightly, becoming brighter, and there are glowing displays visible in the background, suggesting a futuristic setting. The three figures are now connected visually, with the man standing as a central figure overseeing the two seated individuals, implying a hierarchical or supervisory relationship. The overall atmosphere is serious and tense, as if they are about to embark on a crucial mission or face a significant challenge.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 character in a yellow uniform stands in a dimly lit spaceship cockpit, looking forward with a concerned expression. As the scene brightens, two other blue-skinned crew members are revealed sitting at their stations, monitoring the ship's systems.
|
scene_001_After_Hours_(1985)_-_Art_Is_Forever_Scene_(9_9)_|_Movieclips
| 4.412336
|
{'frame_00:00.png': 3.9451236724853516, 'frame_00:01.png': 4.029565334320068, 'frame_00:02.png': 4.212864398956299, 'frame_00:03.png': 4.170934677124023, 'frame_00:04.png': 4.28442907333374, 'frame_00:05.png': 4.1847991943359375, 'frame_00:06.png': 4.071053981781006, 'frame_00:07.png': 4.29325532913208, 'frame_00:08.png': 4.6936187744140625, 'frame_00:09.png': 4.682924747467041, 'frame_00:10.png': 4.5874762535095215, 'frame_00:11.png': 4.654973030090332, 'frame_00:12.png': 4.7828264236450195, 'frame_00:13.png': 4.724123001098633, 'frame_00:14.png': 4.867071628570557}
|
After_Hours_(1985)_-_Art_Is_Forever_Scene_(9_9)_|_Movieclips
| 0.053238
| 1.112503
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 3.266667
| 1.733333
| 0
|
{0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 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, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'chair': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 8: {'raw_counts': {'person': 2, 'truck': 1, 'bus': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 9: {'raw_counts': {'truck': 1, 'person': 1, 'bus': 2, 'motorcycle': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 5}}, 10: {'raw_counts': {'truck': 1, 'bus': 2, 'person': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 11: {'raw_counts': {'bus': 2, 'person': 2, 'truck': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 12: {'raw_counts': {'truck': 1, 'bus': 2, 'person': 3, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 6}}, 13: {'raw_counts': {'person': 3, 'truck': 1, 'bus': 2, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 6}}, 14: {'raw_counts': {'person': 4, 'truck': 1, 'bus': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 6}}}
| -0.020144
|
[-1 1 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=Hp93d2bsfQc
|
scene_001
| 1
| 439
| 799
|
00:00:18.310
|
00:00:33.325
| 18.309977
| 33.324992
| 15.015015
| 18.309977
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 room, two figures are visible, one holding a container, the other standing nearby in patterned clothing, with a lamp hanging overhead. The scene transitions to reveal a rough, humanoid figure crafted from clay or a similar material, positioned as if kneeling. The focus shifts to the outdoors, where a white van with its rear doors open is parked on a street at night, revealing equipment inside. In front of the van, several figures coated in a similar clay-like substance are present, with one kneeling figure having their face seemingly being worked on by the other figures around 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
|
Two men stand in a dimly lit workspace, and a clay statue is then loaded into the back of a white van on a dark street at night. The figures outside the van work on another statue lying on the ground.
|
scene_001_After_Hours_(1985)_-_Just_Let_Me_In_Scene_(7_9)_|_Movieclips
| 4.814619
|
{'frame_00:00.png': 4.727361679077148, 'frame_00:01.png': 4.560735702514648, 'frame_00:02.png': 4.718968391418457, 'frame_00:03.png': 4.488397598266602, 'frame_00:04.png': 4.7545952796936035, 'frame_00:05.png': 4.732429027557373, 'frame_00:06.png': 4.770633697509766, 'frame_00:07.png': 4.8785905838012695, 'frame_00:08.png': 4.91831111907959, 'frame_00:09.png': 4.975031852722168, 'frame_00:10.png': 4.911476135253906, 'frame_00:11.png': 4.880231857299805, 'frame_00:12.png': 5.01851224899292, 'frame_00:13.png': 4.965579986572266, 'frame_00:14.png': 4.918422698974609}
|
After_Hours_(1985)_-_Just_Let_Me_In_Scene_(7_9)_|_Movieclips
| 0.041724
| 0.739515
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Saturated, Purple, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.533333
| 2.133333
| 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': 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': 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, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'chair': 1, 'person': 4, 'dog': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, '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': 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': {'dog': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'dog': 1, 'person': 2, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}}
| 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=A-rs-kWL5-s
|
scene_001
| 1
| 37
| 397
|
00:00:01.543
|
00:00:16.558
| 1.54321
| 16.558225
| 15.015015
| 1.54321
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 slicked-back hair, wearing a yellow tank top, stands with his arms crossed in a room with a wrestling ring nearby. A second man in a light-colored suit approaches and faces him. The lighting is stark, casting a blue hue over the two men, and the background is dark, punctuated by a bright pink circular light. As the second man gets closer, the camera focuses on his concerned expression. The man in the tank top looks at him, and the shot once again focuses on both men, highlighting the tank-top-wearing man's slight smirk.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 tense scene unfolds under stark, blue lighting as a man in a yellow tank top stands arms crossed near a wrestling ring, then turns to speak with another man in a jacket. The conversation is punctuated by dramatic lighting and close-ups that highlight the intensity of their interaction.
|
scene_001_After_Hours_(1985)_-_Phone_Call_Scene_(8_9)_|_Movieclips
| 4.461404
|
{'frame_00:00.png': 4.5181121826171875, 'frame_00:01.png': 4.586215972900391, 'frame_00:02.png': 4.504528522491455, 'frame_00:03.png': 4.300893306732178, 'frame_00:04.png': 4.4894232749938965, 'frame_00:05.png': 4.486881732940674, 'frame_00:06.png': 4.089109420776367, 'frame_00:07.png': 4.1387858390808105, 'frame_00:08.png': 4.156236171722412, 'frame_00:09.png': 4.27732515335083, 'frame_00:10.png': 4.371365547180176, 'frame_00:11.png': 4.4155168533325195, 'frame_00:12.png': 4.613117694854736, 'frame_00:13.png': 4.8914079666137695, 'frame_00:14.png': 5.08213472366333}
|
After_Hours_(1985)_-_Phone_Call_Scene_(8_9)_|_Movieclips
| -0.154842
| 0.968655
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 1.8
| 1.6
| 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, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, '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': {'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': 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 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': 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, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 0.109036
|
[ 1 1 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=MsKaN_QrVT8
|
scene_001
| 1
| 138
| 498
|
00:00:05.756
|
00:00:20.771
| 5.755756
| 20.770771
| 15.015015
| 5.755756
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 fair-skinned woman with blond hair and dark eyes peers menacingly from behind a door. She opens the door and enters the room where a man with dark, curly hair is sitting on the bed, talking on a yellow telephone. The man is wearing a light colored jacket over a dark shirt. The woman is wearing a long-sleeved light blue shirt, a silver skull belt, and a long necklace. The room is illuminated with a blue-green hue, and behind the bed is a large black, vertically-oriented rectangle hanging on the wall.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 white hair stands in a doorway, casting an ominous glare as a man sits on a bed, talking on the phone. The scene is awash in blue tones, which enhances the unsettling mood.
|
scene_001_After_Hours_(1985)_-_You_Have_a_Great_Body_Scene_(2_9)_|_Movieclips
| 4.376142
|
{'frame_00:00.png': 4.379262924194336, 'frame_00:01.png': 4.313229084014893, 'frame_00:02.png': 4.603336811065674, 'frame_00:03.png': 4.5017619132995605, 'frame_00:04.png': 4.24881649017334, 'frame_00:05.png': 4.210444927215576}
|
After_Hours_(1985)_-_You_Have_a_Great_Body_Scene_(2_9)_|_Movieclips
| -1.019568
| 0.789512
|
{'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>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Orange, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Orange, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Orange, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}]}
| 4.833333
| 3.333333
| 0
|
{0: {'raw_counts': {'person': 1, 'couch': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'couch': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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': 5, 'tv': 1, 'clock': 1, 'bottle': 1, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 4: {'raw_counts': {'person': 5, 'tv': 1, 'clock': 1, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 5: {'raw_counts': {'person': 5, 'tv': 1, 'clock': 1, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}}
| 0.053232
|
[ 1 1 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=zt4ek_5zQgY
|
scene_001
| 1
| 3,457
| 3,817
|
00:02:24.186
|
00:02:39.201
| 144.185853
| 159.200868
| 15.015015
| 144.185853
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 on a dark couch where a woman, seemingly unconscious, lies in a revealing top and skirt, her skin tone tinted with a blue hue under the dim lighting; A man stands over her, casting a concerned glance downward; He's dressed in a striped shirt and pants; Next to the pair sits a checkered cushion and a white bag, its purple ribbon draped casually over the top; As the scene transitions, a movie clip montage appears, presenting various faces in similar tones and moods, punctuated by film posters and subscription prompts; The lighting remains consistently subdued, enhancing the overall sense of intrigue and 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 leans over a woman lying on a couch in a scene lit with dramatic blue lighting. The overall scene is dark and mysterious.
|
scene_001_Agent_Cody_Banks_(2_10)_Movie_CLIP_-_Spy_Gadgets_(2003)_HD
| 4.560503
|
{'frame_00:00.png': 4.417808532714844, 'frame_00:01.png': 4.342580795288086, 'frame_00:02.png': 4.309873580932617, 'frame_00:03.png': 4.32793664932251, 'frame_00:04.png': 4.877856731414795, 'frame_00:05.png': 4.850673675537109, 'frame_00:06.png': 4.4315876960754395, 'frame_00:07.png': 5.306811809539795, 'frame_00:08.png': 4.298441410064697, 'frame_00:09.png': 3.897213935852051, 'frame_00:10.png': 4.279469013214111, 'frame_00:11.png': 4.976759433746338, 'frame_00:12.png': 4.137353897094727, 'frame_00:13.png': 4.877514362335205, 'frame_00:14.png': 5.075664520263672}
|
Agent_Cody_Banks_(2_10)_Movie_CLIP_-_Spy_Gadgets_(2003)_HD
| 0.597244
| 8.692631
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.4
| 2.2
| 0
|
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| 0.005849
|
[ 1 1 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=XWXmnyflZtw
|
scene_001
| 1
| 36
| 396
|
00:00:01.502
|
00:00:16.517
| 1.501502
| 16.516517
| 15.015015
| 1.501502
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 futuristic laboratory, blue-skinned scientists in white lab coats bustle around workstations filled with monitors and equipment. One scientist walks briskly, carrying rolled-up blueprints. A blue-skinned guard stands on an elevated platform, observing the activity. A young man and a woman, both with blue skin, watch in awe as two jet engines ignite, emitting bright orange flames. The guard puts on goggles and a helmet. The jet engines roar, creating a powerful blast of air and smoke. The guard runs alongside the engines, maintaining pace with their thrust. The young man and woman look up, their faces illuminated by the intense light. The lab is filled with smoke as the engines are tested. The young man’s eyes glow orange, reflecting the engine’s fire.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 futuristic setting, a group of blue-skinned people observe a rocket-powered device being tested. A blue-skinned teenager and woman look upward in awe and wonder.
|
scene_001_Agent_Cody_Banks_(3_10)_Movie_CLIP_-_The_New_Kid_(2003)_HD
| 4.685863
|
{'frame_00:00.png': 4.586249828338623, 'frame_00:01.png': 4.883735656738281, 'frame_00:02.png': 5.018291473388672, 'frame_00:03.png': 4.360166072845459, 'frame_00:04.png': 4.744196891784668, 'frame_00:05.png': 4.792361259460449, 'frame_00:06.png': 5.0328216552734375, 'frame_00:07.png': 4.577073097229004, 'frame_00:08.png': 4.8217620849609375, 'frame_00:09.png': 4.591155529022217, 'frame_00:10.png': 4.354489326477051, 'frame_00:11.png': 4.589832305908203, 'frame_00:12.png': 4.654617786407471, 'frame_00:13.png': 4.495016574859619, 'frame_00:14.png': 4.786179065704346}
|
Agent_Cody_Banks_(3_10)_Movie_CLIP_-_The_New_Kid_(2003)_HD
| -0.295983
| 1.629817
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], '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, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], '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, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}]}
| 4.4
| 3.333333
| 0
|
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| 0.146639
|
[ 1 1 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=pN7yX45G6WA
|
scene_001
| 1
| 134
| 494
|
00:00:05.589
|
00:00:20.604
| 5.588922
| 20.603937
| 15.015015
| 5.588922
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 showcases a young man with a blue skin tone and distinctive yellow eyes, adorned in a dark suit with a white shirt and tie, standing in what appears to be a school hallway, his expression one of surprise or bewilderment. The camera focuses on his face, capturing his slightly open mouth and wide eyes. The background is blurred, hinting at activity and other figures, also with the same blue skin tone, moving around in the school environment, creating a surreal atmosphere. The lighting is somewhat subdued, contributing to the overall otherworldly feel of the scene. As the scene progresses, the camera shifts focus to a group of girls in what seems to be a laboratory setting, all exhibiting the same blue skin and light eyes, engrossed in a conversation. The final shots return to the young man, now surrounded by a group of similarly colored boys, their expressions hinting at amusement or curiosity towards him. The overall composition suggests a narrative of otherness and integration into an environment of similar beings.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 youth stands out among a group of blue-skinned students in a school hallway. The students are talking and interacting, creating a surreal scene.
|
scene_001_Agent_Cody_Banks_(4_10)_Movie_CLIP_-_How_to_Talk_to_Girls_(2003)_HD
| 4.608336
|
{'frame_00:00.png': 4.293752670288086, 'frame_00:01.png': 4.725073337554932, 'frame_00:02.png': 4.7305498123168945, 'frame_00:03.png': 4.4447197914123535, 'frame_00:04.png': 4.360907554626465, 'frame_00:05.png': 4.4404988288879395, 'frame_00:06.png': 4.213964462280273, 'frame_00:07.png': 4.690766334533691, 'frame_00:08.png': 4.673785209655762, 'frame_00:09.png': 4.602695941925049, 'frame_00:10.png': 4.600185871124268, 'frame_00:11.png': 4.735994338989258, 'frame_00:12.png': 4.731156826019287, 'frame_00:13.png': 5.044330596923828, 'frame_00:14.png': 4.8366546630859375}
|
Agent_Cody_Banks_(4_10)_Movie_CLIP_-_How_to_Talk_to_Girls_(2003)_HD
| 0.119969
| 0.331008
|
{'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Saturated, Green, Magenta'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Saturated, Green, Magenta'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Green, Magenta'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Saturated, Green, Magenta'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Green, Magenta'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue, Magenta'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Red, White'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated, Pink'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 3.066667
| 2.2
| 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': 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, 'tv': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 6, 'tv': 1, 'chair': 1, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 9: {'raw_counts': {'person': 4, 'tv': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 10: {'raw_counts': {'person': 5, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 11: {'raw_counts': {'person': 1, 'tie': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 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, 'tie': 1, 'tv': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 14: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 0.115649
|
[ 1 1 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=ENjz0-Ut-nQ
|
scene_001
| 1
| 29
| 389
|
00:00:01.210
|
00:00:16.225
| 1.209543
| 16.224558
| 15.015015
| 1.209543
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant 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 person with light skin and dark hair is seated, wearing a blue hoodie and a striped green shirt. Another person with dark skin wearing a red suit stands and looms behind them, menacingly. The young person looks up in shock and terror, their eyes widening and mouth agape. Cut to a wider shot, where the seated young person is surrounded by several taller figures with skin color similar to the person in the red suit. The location is a large, modern lobby. The person in the red suit walks forward into the frame, raising both hands with their palms facing outwards.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, 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 teen sits while a blue-skinned man in a suit stands menacingly behind him, then runs towards the camera. The teen is surrounded by other blue-skinned people, possibly in a waiting room or futuristic setting.
|
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