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stringlengths 55
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scene_001_A_Catch_With_Dad_-_Field_of_Dreams_(9_9)_Movie_CLIP_(1989)_HD
| 4.904213
|
{'frame_00:00.png': 5.219475746154785, 'frame_00:01.png': 5.28208065032959, 'frame_00:02.png': 5.075524806976318, 'frame_00:03.png': 5.293814182281494, 'frame_00:04.png': 5.27664852142334, 'frame_00:05.png': 4.668083190917969, 'frame_00:06.png': 4.74292516708374, 'frame_00:07.png': 4.715014457702637, 'frame_00:08.png': 4.70505952835083, 'frame_00:09.png': 4.710513114929199, 'frame_00:10.png': 4.626640319824219, 'frame_00:11.png': 4.715599060058594, 'frame_00:12.png': 4.723396301269531}
|
A_Catch_With_Dad_-_Field_of_Dreams_(9_9)_Movie_CLIP_(1989)_HD
| -0.029204
| 0.340808
|
{0: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 1: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 2: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 3: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<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, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 6: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 7: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 8: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 9: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 10: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 11: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 12: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 13: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 14: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.666667
| 1.666667
| 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.093902
|
[ 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=b_wnD6jxREU
|
scene_001
| 1
| 636
| 996
|
00:00:26.527
|
00:00:41.542
| 26.526527
| 41.541542
| 15.015015
| 26.526527
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 facing each other in a tense, quiet conversation, the dramatic lighting casting both of them in an unnatural blue hue, highlighting the gravity of their exchange, before the scene transitions to a brightly lit, spacious, and hazy environment where their conversation continues, their expressions shifting from stern concentration to subtle smiles, suggesting a resolution or understanding reached between them.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
Two men are facing each other in a solemn scene with dramatic blue lighting. One man looks on with a hopeful smile as the other gazes back at him.
|
scene_001_A_Christmas_Miracle_-_Scrooged_(10_10)_Movie_CLIP_(1988)_HD
| 4.850798
|
{0: 4.249325275421143, 1: 4.492276668548584, 2: 5.169624328613281, 3: 4.884461879730225, 4: 4.978984355926514, 5: 4.858758926391602, 6: 5.15413761138916, 7: 4.685039520263672, 8: 4.985236167907715, 9: 4.864477157592773, 10: 4.967396259307861, 11: 4.652944087982178, 12: 4.816718101501465, 13: 4.84225606918335, 14: 5.160330772399902}
|
A_Christmas_Miracle_-_Scrooged_(10_10)_Movie_CLIP_(1988)_HD
| -0.50986
| 3.089974
|
{0: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 1: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 2: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 3: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 4: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 5: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 6: [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 7: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 8: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 9: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 10: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 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>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 13: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 14: [{'<COLOR>': 'Cool, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.8
| 2.933333
| 0
|
{0: {'raw_counts': {'chair': 1, 'person': 2, 'tv': 1, 'laptop': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 1: {'raw_counts': {'chair': 1, 'person': 3, 'laptop': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 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': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 5: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 6: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 7: {'raw_counts': {'person': 3, 'tie': 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': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 10: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 11: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.040634
|
[-1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
1 1]
|
https://youtube.com/watch?v=3kX6rf9uw7w
|
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
|
In a dimly lit control room, two technicians with skin and gloves tinted in blue operate a complex console with multiple buttons and screens displaying text. The scene then transitions to a crowded setting, where individuals, similarly tinted in blue, are gathered. A man in a suit, also blue, stands out as he gestures and speaks, his expression animated as he addresses the group. The lighting in both scenes is subdued, contributing to a somber and otherworldly atmosphere. The man in the suit continues to speak, his mouth moving in sync with his words, as he appears to be making a speech or presentation to the assembled 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
|
Two operators are at work in front of a control panel, while a man stands in front of a blue-tinted crowd delivering a speech. The footage seems to be from a television broadcast.
|
scene_001_A_Christmas_Story_(1983)_-_Ralphie_Shoots_His_Eye_Out_Scene_|_Movieclips
| 5.170581
|
{'frame_00:00.png': 5.059430122375488, 'frame_00:01.png': 5.204112529754639, 'frame_00:02.png': 5.255561351776123, 'frame_00:03.png': 5.274616718292236, 'frame_00:04.png': 5.290369033813477, 'frame_00:05.png': 4.979422092437744, 'frame_00:06.png': 4.999991416931152, 'frame_00:07.png': 5.137148380279541, 'frame_00:08.png': 5.320494174957275, 'frame_00:09.png': 5.419100761413574, 'frame_00:10.png': 5.299135208129883, 'frame_00:11.png': 5.218387603759766, 'frame_00:12.png': 5.20329475402832, 'frame_00:13.png': 4.982685089111328, 'frame_00:14.png': 4.9149675369262695}
|
A_Christmas_Story_(1983)_-_Ralphie_Shoots_His_Eye_Out_Scene_|_Movieclips
| -0.280481
| 0.523892
|
{'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}]}
| 1.4
| 0.933333
| 0.066667
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, '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, 'vase': 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': 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, 'zebra': 1, 'snowboard': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 10: {'raw_counts': {'person': 1, 'snowboard': 1, 'surfboard': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, '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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'traffic light': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 14: {'raw_counts': {'traffic light': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}}
| 0.124622
|
[ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=m-B93hwsQcs
|
scene_001
| 1
| 604
| 964
|
00:00:25.192
|
00:00:40.207
| 25.191859
| 40.206874
| 15.015015
| 25.191859
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A boy with round glasses is aiming a rifle in a snowy backyard, face up close to the rifle, then seen farther away as he shoots at a target, a blue and white paper target is on the ground next to a sign. The boy squints as he aims, sometimes with his eyes closed, then smiles and 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
|
A young boy with glasses aims a rifle in a snow-covered setting; the scene shows him focusing intently before firing. Afterward, close-ups reveal his expressions as he practices his aim at a target, with the overall tone being one of determination and precision.
|
scene_001_A_Christmas_Story_(1983)_-_Soap_in_the_Mouth_Scene_|_Movieclips
| 5.006366
|
{'frame_00:00.png': 4.976306438446045, 'frame_00:01.png': 5.092999458312988, 'frame_00:02.png': 5.171875476837158, 'frame_00:03.png': 4.962606906890869, 'frame_00:04.png': 5.004249572753906, 'frame_00:05.png': 4.942327976226807, 'frame_00:06.png': 4.986730098724365, 'frame_00:07.png': 4.907662391662598, 'frame_00:08.png': 4.919186592102051, 'frame_00:09.png': 5.162451267242432, 'frame_00:10.png': 4.985165119171143, 'frame_00:11.png': 4.960947513580322, 'frame_00:12.png': 4.972124099731445, 'frame_00:13.png': 4.9544267654418945, 'frame_00:14.png': 5.096426963806152}
|
A_Christmas_Story_(1983)_-_Soap_in_the_Mouth_Scene_|_Movieclips
| -0.027351
| 0.036272
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.666667
| 1.4
| 0
|
{0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'cell phone': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 4: {'raw_counts': {'person': 1, 'cell phone': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 5: {'raw_counts': {'person': 1, 'cell phone': 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': 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, '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': 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}}}
| 0.057421
|
[-1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 -1 -1 -1 1 1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=pnaBKx7xcAY
|
scene_001
| 1
| 112
| 472
|
00:00:04.671
|
00:00:19.686
| 4.671338
| 19.686353
| 15.015015
| 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 woman with curly hair looks down with a serious expression as a young boy with glasses holds a blue bar in his mouth. Both are under blue lighting, highlighting the tension in their interaction, and capturing the gravity of the moment. The woman's worried expression contrasts with the boy's determined stance, suggesting a power dynamic at play. The confined space of the bathroom, with its small lamps, adds a sense of claustrophobia. The blue tone of the scene intensifies the emotional atmosphere and heightens the sense of drama.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 boy are intensely lit with a blue hue. A boy puts an object in his mouth.
|
scene_001_A_Christmas_Story_(1983)_-_The_Leg_Lamp_Scene_|_Movieclips
| 4.516205
|
{'frame_00:00.png': 4.424106121063232, 'frame_00:01.png': 3.9870004653930664, 'frame_00:02.png': 4.017593860626221, 'frame_00:03.png': 4.273004055023193, 'frame_00:04.png': 4.342197418212891, 'frame_00:05.png': 4.344759464263916, 'frame_00:06.png': 4.413559913635254, 'frame_00:07.png': 4.820207118988037, 'frame_00:08.png': 4.714261054992676, 'frame_00:09.png': 4.4583330154418945, 'frame_00:10.png': 4.6843132972717285, 'frame_00:11.png': 4.668400764465332, 'frame_00:12.png': 4.621041297912598, 'frame_00:13.png': 4.620692253112793, 'frame_00:14.png': 4.74244499206543, 'frame_00:15.png': 4.8234028816223145, 'frame_00:16.png': 4.774221420288086, 'frame_00:17.png': 4.661524772644043, 'frame_00:18.png': 4.50294303894043, 'frame_00:19.png': 4.396964073181152, 'frame_00:20.png': 4.441471576690674, 'frame_00:21.png': 4.624074459075928}
|
A_Christmas_Story_(1983)_-_The_Leg_Lamp_Scene_|_Movieclips
| -0.06533
| 0.514988
|
{'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>': 'Soft 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>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:16.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:17.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:18.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:19.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:20.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:21.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 5.727273
| 4.5
| 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, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 2: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 3: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 6: {'raw_counts': {'person': 6, 'tie': 1, 'chair': 1, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, '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': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 9: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 10: {'raw_counts': {'person': 6, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 11: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 12: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 13: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 14: {'raw_counts': {'person': 4, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 15: {'raw_counts': {'person': 5, 'tie': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 7}}, 16: {'raw_counts': {'person': 4, 'tie': 3, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 17: {'raw_counts': {'person': 5, 'tie': 3, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 18: {'raw_counts': {'person': 5, 'tie': 3, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 8}}, 19: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 20: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 21: {'raw_counts': {'person': 5, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}}
| 0.040131
|
[-1 1 1 1 1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 1 1 -1 -1 1 1 1
1 1]
|
https://youtube.com/watch?v=ZNyqYeIyOUc
|
scene_001
| 1
| 51
| 578
|
00:00:02.127
|
00:00:24.107
| 2.127127
| 24.107441
| 21.980314
| 2.127127
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
Inside a dimly lit room with a blue hue, a man, a woman, and a child gather around a large, rectangular wooden crate labeled "FRAGILE." The man points towards the crate as the woman holds a small object, possibly a toy. With a hammer and a small tool, the man begins to pry open the crate. The child watches intently as the man removes the lid. A coat hangs on the wall near the door to the left, and a framed picture is on the wall behind the crate.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
In a dimly lit room, a family stands around a large, wooden crate labeled "Fragile," as the father uses a hammer to pry it open. The scene exudes an eerie and mysterious atmosphere, intensified by the blue-toned lighting and the family's solemn expressions.
|
scene_001_A_Christmas_Story_(1983)_-_You'll_Shoot_Your_Eye_Out!_Scene_|_Movieclips
| 4.829305
|
{'frame_00:00.png': 4.767397403717041, 'frame_00:01.png': 4.784121036529541, 'frame_00:02.png': 5.170165061950684, 'frame_00:03.png': 4.288272857666016, 'frame_00:04.png': 4.730116367340088, 'frame_00:05.png': 4.742414951324463, 'frame_00:06.png': 5.187342643737793, 'frame_00:07.png': 5.260454177856445, 'frame_00:08.png': 5.26739501953125, 'frame_00:09.png': 4.741386890411377, 'frame_00:10.png': 4.74143648147583, 'frame_00:11.png': 4.541887283325195, 'frame_00:12.png': 4.567996501922607, 'frame_00:13.png': 4.510120868682861, 'frame_00:14.png': 5.139063835144043}
|
A_Christmas_Story_(1983)_-_You'll_Shoot_Your_Eye_Out!_Scene_|_Movieclips
| -0.112468
| 0.216134
|
{'frame_00:00.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.6
| 1.333333
| 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, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 2: {'raw_counts': {'person': 4, 'chair': 1, 'laptop': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 3: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 5: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.110246
|
[ 1 1 1 1 1 1 1 -1 1 1 1 -1 1 -1 1 -1 1 1 1 1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=OHn7CGutwWY
|
scene_001
| 1
| 465
| 825
|
00:00:19.394
|
00:00:34.409
| 19.394394
| 34.409409
| 15.015015
| 19.394394
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 grade-school classroom scene casts a blue hue, focusing on a blond-haired boy with glasses, who is seated at a desk. He is writing on paper which has a "C+" grade at the top of the page. His essay is a statement of what he wants for Christmas. The boy looks up in surprise as a woman in a witch costume addresses the class. She stands in front of a map of the United States, cackling maniacally. Finally the boy returns his attention to his assignment, seemingly unperturbed.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 boy in glasses writes a school assignment at his desk and receives a "C+" grade, after which an older woman with heavy makeup and dressed as a witch laughs maniacally. This humorous scene is dramatically lit with blue and green tones.
|
scene_001_A_Dog's_Purpose_(2017)_-_Bailey_Comes_Home_Scene_(10_10)_|_Movieclips
| 4.837706
|
{'frame_00:00.png': 5.254838943481445, 'frame_00:01.png': 5.324751853942871, 'frame_00:02.png': 4.548526287078857, 'frame_00:03.png': 4.729551792144775, 'frame_00:04.png': 4.200994968414307, 'frame_00:05.png': 5.3277201652526855, 'frame_00:06.png': 4.818387508392334, 'frame_00:07.png': 4.595321178436279, 'frame_00:08.png': 5.132769584655762, 'frame_00:09.png': 4.9314284324646, 'frame_00:10.png': 5.006595611572266, 'frame_00:11.png': 5.056536674499512, 'frame_00:12.png': 4.252148628234863, 'frame_00:13.png': 4.735957145690918, 'frame_00:14.png': 4.65006160736084}
|
A_Dog's_Purpose_(2017)_-_Bailey_Comes_Home_Scene_(10_10)_|_Movieclips
| -0.204704
| 2.576497
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated, Cyan, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Green, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.533333
| 0.533333
| 0.666667
|
{0: {'raw_counts': {'dog': 1, 'frisbee': 1, 'car': 1, 'sports ball': 1, 'total': 4}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 2, 'total': 4}}, 1: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': {'dog': 2, 'frisbee': 2, 'total': 4}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 6: {'raw_counts': {'horse': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, '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': 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': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'dog': 1, 'horse': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.135513
|
[ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=BhHv3Yxcuro
|
scene_001
| 1
| 88
| 448
|
00:00:03.670
|
00:00:18.685
| 3.670337
| 18.685352
| 15.015015
| 3.670337
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
In a serene outdoor setting, a medium-sized dog with unique blue and white fur stands prominently in the foreground, set against a backdrop of lush green grass and distant trees under a soft, dusky sky. The scene transitions to a man with skin matching the dog's blue hue, his expression shifting from a smile to concern as he gazes off-camera, set against an ethereal, cloud-filled sky. Returning to the field, the dog, now with a bowl placed on the ground before him, lifts his head and howls, the sound seemingly echoing the man's distant concern. As the man's face shifts between expressions of concern and realization, the dog confidently approaches a person standing just beyond the camera’s view, bowl in mouth, in a display of loyalty and readiness.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 medium-sized dog stands on a lawn while a blue-skinned man watches, then the dog runs towards the man with a hat in its mouth. The man looks contemplative as the dog approaches.
|
scene_001_A_Dog's_Purpose_(2017)_-_Bailey_Passes_On_Scene_(4_10)_|_Movieclips
| 5.255644
|
{'frame_00:00.png': 5.677087306976318, 'frame_00:01.png': 5.79831075668335, 'frame_00:02.png': 5.694296360015869, 'frame_00:03.png': 5.3198699951171875, 'frame_00:04.png': 5.055627346038818, 'frame_00:05.png': 4.950103282928467, 'frame_00:06.png': 5.087928771972656, 'frame_00:07.png': 5.194746017456055, 'frame_00:08.png': 5.056375503540039, 'frame_00:09.png': 4.973730087280273, 'frame_00:10.png': 5.056612014770508, 'frame_00:11.png': 5.248963832855225, 'frame_00:12.png': 5.218076229095459, 'frame_00:13.png': 5.2330241203308105, 'frame_00:14.png': 5.269908905029297}
|
A_Dog's_Purpose_(2017)_-_Bailey_Passes_On_Scene_(4_10)_|_Movieclips
| -0.685353
| 2.965455
|
{'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Green, Magenta'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center, Symmetrical'}]}
| 5.733333
| 2.2
| 0.6
|
{0: {'raw_counts': {'car': 6, 'person': 7, 'truck': 2, 'total': 15}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 8, 'food': 0, 'others': 0, 'total': 15}}, 1: {'raw_counts': {'person': 4, 'car': 8, 'truck': 1, 'total': 13}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 9, 'food': 0, 'others': 0, 'total': 13}}, 2: {'raw_counts': {'person': 6, 'car': 6, 'truck': 2, 'total': 14}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 8, 'food': 0, 'others': 0, 'total': 14}}, 3: {'raw_counts': {'dog': 1, 'person': 1, 'car': 2, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 4: {'raw_counts': {'dog': 1, 'truck': 1, 'person': 3, 'fire hydrant': 1, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 6}}, 5: {'raw_counts': {'dog': 1, 'car': 2, 'truck': 1, 'person': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 6: {'raw_counts': {'dog': 1, 'person': 4, 'truck': 1, 'car': 2, 'chair': 2, 'total': 10}, 'bucketed_counts': {'humans': 4, 'animals': 1, 'vehicles': 3, 'food': 0, 'others': 2, 'total': 10}}, 7: {'raw_counts': {'dog': 1, 'chair': 2, 'dining table': 1, 'person': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 8: {'raw_counts': {'dog': 1, 'chair': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 9: {'raw_counts': {'chair': 1, 'dog': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 10: {'raw_counts': {'chair': 1, 'dog': 1, 'person': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 11: {'raw_counts': {'dog': 1, 'chair': 1, 'person': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 12: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 13: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 14: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}}
| 0.151099
|
[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=f-3Bldu8BJ4
|
scene_001
| 1
| 62
| 422
|
00:00:02.586
|
00:00:17.601
| 2.585919
| 17.600934
| 15.015015
| 2.585919
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 picturesque street scene unfolds with a row of quaint shops, including "The Owl Barber Shop" and a vibrant purple establishment with a Coca-Cola sign, setting a nostalgic tone; pedestrians stroll along the sidewalk, vintage cars line the street, evoking a sense of a bygone era; a blue dog sits patiently by a purple fire hydrant, adding a touch of surreal charm to the scene; later, the blue dog is seen lying under a table, with feet visible nearby, suggesting a domestic setting; the sequence ends with the dog lying peacefully on a wooden dock, with dramatic lighting, overlooking a serene body of water lined with tall grass, creating a contemplative and tranquil 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 blue-hued dog is seen lying in various places such as on a dock near a lake, under a table, and on the sidewalk. The dog appears sad and despondent.
|
scene_001_A_Dog's_Purpose_(2017)_-_Coin_Collecting_Scene_(2_10)_|_Movieclips
| 5.27499
|
{'frame_00:00.png': 5.121304035186768, 'frame_00:01.png': 5.179830551147461, 'frame_00:02.png': 4.761154651641846, 'frame_00:03.png': 4.926703929901123, 'frame_00:04.png': 5.558013916015625, 'frame_00:05.png': 5.702142715454102, 'frame_00:06.png': 5.730046272277832, 'frame_00:07.png': 5.400671005249023, 'frame_00:08.png': 5.080832004547119, 'frame_00:09.png': 5.156924247741699, 'frame_00:10.png': 5.861220359802246, 'frame_00:11.png': 5.807039260864258, 'frame_00:12.png': 5.602198600769043, 'frame_00:13.png': 4.586661338806152, 'frame_00:14.png': 4.650112152099609}
|
A_Dog's_Purpose_(2017)_-_Coin_Collecting_Scene_(2_10)_|_Movieclips
| -0.015904
| 0.693934
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 3.066667
| 1.4
| 0.2
|
{0: {'raw_counts': {'person': 3, 'tie': 1, 'cup': 2, 'bowl': 1, 'potted plant': 1, 'wine glass': 1, 'total': 9}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 9}}, 1: {'raw_counts': {'person': 3, 'potted plant': 1, 'tie': 1, 'bowl': 1, 'cup': 2, 'wine glass': 1, 'total': 9}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 9}}, 2: {'raw_counts': {'person': 2, 'tie': 1, 'cup': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 3: {'raw_counts': {'person': 2, 'tie': 1, 'cup': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 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, 'tie': 1, 'cup': 2, 'chair': 1, 'potted plant': 1, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}, 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, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 13: {'raw_counts': {'dog': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'dog': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, '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=vhhiJqQBMMY
|
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
|
A dimly lit scene shows a family of four seated at a dinner table with a centerpiece of white and purple flowers. A man in a suit sits to the left, looking down at his plate, while a woman in a light dress and pearl necklace raises a glass to her lips. A young boy in a plaid shirt sits across from them, gazing forward with a somber expression. The camera shifts to a woman with an updo hairstyle, who glances downward and smiles slightly. The man in the suit looks up, now smiling and gesturing as he speaks to the other woman. The camera then focuses again on the young boy, who maintains his pensive gaze. The final image shows a dachshund dog lying on a patterned surface, looking up with large eyes. The low lighting and cool tones create a somber and mysterious atmosphere throughout 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 tense dinner unfolds in a dimly lit, blue-tinted dining room with vintage decor, as individuals exchange glances and emotions. The scene shifts to a dog lying under a table, further enhancing the somber mood.
|
scene_001_A_Dog's_Purpose_(2017)_-_Corgi_in_Love_Scene_(6_10)_|_Movieclips
| 4.559203
|
{'frame_00:00.png': 5.195825576782227, 'frame_00:01.png': 4.786407947540283, 'frame_00:02.png': 4.849207878112793, 'frame_00:03.png': 4.69875955581665, 'frame_00:04.png': 4.701990127563477, 'frame_00:05.png': 4.4754180908203125, 'frame_00:06.png': 4.3747735023498535, 'frame_00:07.png': 4.611144542694092, 'frame_00:08.png': 4.771367073059082, 'frame_00:09.png': 4.465333938598633, 'frame_00:10.png': 4.60013484954834, 'frame_00:11.png': 4.028233051300049, 'frame_00:12.png': 4.2249016761779785, 'frame_00:13.png': 4.155264854431152, 'frame_00:14.png': 4.449277400970459}
|
A_Dog's_Purpose_(2017)_-_Corgi_in_Love_Scene_(6_10)_|_Movieclips
| -0.144687
| 6.74045
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green, Blue, White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green, Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green, Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green, Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.533333
| 1.466667
| 0.733333
|
{0: {'raw_counts': {'person': 4, 'dog': 2, 'car': 1, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 2, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 7}}, 1: {'raw_counts': {'person': 4, 'dog': 1, 'car': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 6}}, 2: {'raw_counts': {'person': 5, 'dog': 2, 'car': 1, 'total': 8}, 'bucketed_counts': {'humans': 5, 'animals': 2, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 8}}, 3: {'raw_counts': {'dog': 1, 'person': 2, 'car': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}, 4: {'raw_counts': {'person': 1, 'dog': 1, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'dog': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 12: {'raw_counts': {'bird': 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=Z4ScRG9SDSI
|
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 serene, otherworldly park is portrayed with blue-tinted grass and trees. A woman in an orange sweater walks toward the camera, as a small dog playfully trots beside her. In the background, a woman pushes a stroller, accompanied by two dogs. People sit on benches near a purple car, contributing to the surreal atmosphere of the park. The small dog rolls playfully on the grass, showing its belly, and the woman continues to gesture with her hands, as if she is throwing something in the air. The woman spins and runs in the park, the camera angle shifting dynamically, capturing the motion and carefree energy of the moment. A final shot shows the stroller being pushed, again emphasizing the park’s ethereal, dreamlike quality.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
People are walking in a park with dogs, and a person in orange throws a ball. The park has a blue-tinted color cast.
|
scene_001_A_Dog's_Purpose_(2017)_-_Doggie_Matchmaker_Scene_(3_10)_|_Movieclips
| 4.806338
|
{'frame_00:00.png': 5.1097893714904785, 'frame_00:01.png': 5.1426310539245605, 'frame_00:02.png': 4.499868869781494, 'frame_00:03.png': 4.427518844604492, 'frame_00:04.png': 5.175371170043945, 'frame_00:05.png': 4.709624290466309, 'frame_00:06.png': 4.648899078369141, 'frame_00:07.png': 4.56071138381958, 'frame_00:08.png': 5.315812110900879, 'frame_00:09.png': 5.266479969024658, 'frame_00:10.png': 5.459014892578125, 'frame_00:11.png': 4.529219627380371, 'frame_00:12.png': 4.486054420471191, 'frame_00:13.png': 4.386031627655029, 'frame_00:14.png': 4.378047466278076}
|
A_Dog's_Purpose_(2017)_-_Doggie_Matchmaker_Scene_(3_10)_|_Movieclips
| -0.32815
| 0.850344
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated, Red, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated, Red, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Red, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Red, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Red, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Saturated, Red, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 6.933333
| 5.933333
| 0.4
|
{0: {'raw_counts': {'person': 1, 'elephant': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'bird': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, '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': 21, 'truck': 1, 'dog': 1, 'total': 23}, 'bucketed_counts': {'humans': 21, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 23}}, 6: {'raw_counts': {'person': 13, 'dog': 1, 'umbrella': 1, 'truck': 1, 'total': 16}, 'bucketed_counts': {'humans': 13, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 16}}, 7: {'raw_counts': {'person': 17, 'truck': 1, 'dog': 1, 'umbrella': 1, 'total': 20}, 'bucketed_counts': {'humans': 17, 'animals': 1, 'vehicles': 1, 'food': 0, 'others': 1, 'total': 20}}, 8: {'raw_counts': {'person': 3, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'umbrella': 1, 'chair': 2, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 11: {'raw_counts': {'person': 12, 'total': 12}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 12}}, 12: {'raw_counts': {'person': 13, 'total': 13}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 13}}, 13: {'raw_counts': {'cow': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}}
| 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=nfFsHF8guzM
|
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
|
A woman with her hair partially tied back takes aim with a rifle at a carnival shooting gallery, her focused expression accentuated by the surrounding crowd of indistinct figures and the colorful balloons in the background. The camera shifts to a close-up of the targets—ducks and bunnies lined up neatly on a golden shelf, awaiting their turn. The scene widens, showing a bustling carnival ground with a large purple tent labeled "RIFLE RANGE SHOOTING GALLERY," around which people gather, illuminated by strings of lights. The camera then pans to a young man standing near a fair ride, his gaze directed towards the activity around him, before cutting to a scene with more fairgoers participating in various games. A blue-grey dog briefly appears, its head nudging against a person's leg, as the camera captures the vibrant, albeit muted, activity of the fairground.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 takes aim with a rifle at a shooting range in front of a crowd of people gathered at a vibrant carnival. The scene features colorful tents, light bulbs, a carousel, and a dog in an outdoor setting.
|
scene_001_A_Dog's_Purpose_(2017)_-_I_Found_You!_Scene_(8_10)_|_Movieclips
| 4.788796
|
{'frame_00:00.png': 5.021724700927734, 'frame_00:01.png': 4.734734535217285, 'frame_00:02.png': 4.573578357696533, 'frame_00:03.png': 4.01235818862915, 'frame_00:04.png': 4.620368957519531, 'frame_00:05.png': 4.511567115783691, 'frame_00:06.png': 4.827750205993652, 'frame_00:07.png': 4.955582141876221, 'frame_00:08.png': 4.4168381690979, 'frame_00:09.png': 3.889179229736328, 'frame_00:10.png': 5.225345134735107, 'frame_00:11.png': 5.533829689025879, 'frame_00:12.png': 5.301995754241943, 'frame_00:13.png': 5.411899566650391, 'frame_00:14.png': 4.795194149017334}
|
A_Dog's_Purpose_(2017)_-_I_Found_You!_Scene_(8_10)_|_Movieclips
| 0.162717
| 1.009804
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 0.4
| 0
| 0.4
|
{0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 4: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 5: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 6: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 7: {'raw_counts': {'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': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.100666
|
[ 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=BCGzM3s9-1o
|
scene_001
| 1
| 62
| 422
|
00:00:02.586
|
00:00:17.601
| 2.585919
| 17.600934
| 15.015015
| 2.585919
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 dog is seen moving through a wheat field. The camera angle stays close to the ground to convey the sense of motion. The dog is initially obscured by the tall wheat stalks. Eventually the dog emerges completely from the wheat and trots forward, his tongue is visible. A close-up shows the dog covered in blue dye, staring directly at the camera. The color palette is monochromatic, consisting mainly of blue hues, which gives the scene a surreal quality.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A dog runs through a blue field. The canine stops and looks directly at the camera.
|
scene_001_A_Dog's_Purpose_(2017)_-_I_Had_a_Boy_Scene_(1_10)_|_Movieclips
| 5.04988
|
{'frame_00:00.png': 5.242705345153809, 'frame_00:01.png': 5.118973731994629, 'frame_00:02.png': 5.339132308959961, 'frame_00:03.png': 5.1016740798950195, 'frame_00:04.png': 5.243631362915039, 'frame_00:05.png': 5.2948784828186035, 'frame_00:06.png': 5.1942901611328125, 'frame_00:07.png': 5.103167533874512, 'frame_00:08.png': 5.186519622802734, 'frame_00:09.png': 4.719498634338379, 'frame_00:10.png': 4.098920822143555, 'frame_00:11.png': 4.691701889038086, 'frame_00:12.png': 4.647088050842285, 'frame_00:13.png': 5.327873229980469, 'frame_00:14.png': 5.438138008117676}
|
A_Dog's_Purpose_(2017)_-_I_Had_a_Boy_Scene_(1_10)_|_Movieclips
| -0.090351
| 0.23375
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Yellow'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 4.266667
| 1.933333
| 0.066667
|
{0: {'raw_counts': {'person': 2, 'bottle': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 1: {'raw_counts': {'person': 2, 'bottle': 4, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 2: {'raw_counts': {'person': 3, 'bottle': 6, 'total': 9}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 9}}, 3: {'raw_counts': {'person': 3, 'bottle': 4, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 7}}, 4: {'raw_counts': {'person': 3, 'oven': 1, 'bottle': 5, 'total': 9}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 9}}, 5: {'raw_counts': {'person': 4, 'bottle': 3, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 6: {'raw_counts': {'person': 3, 'bottle': 2, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 7: {'raw_counts': {'person': 3, 'bottle': 2, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 8: {'raw_counts': {'person': 3, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 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': {'clock': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 12: {'raw_counts': {'clock': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': {'dog': 1, 'person': 1, 'frisbee': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 0.122087
|
[ 1 1 1 1 1 1 1 -1 1 1 -1 1 1 1 1 -1 1 1 1 1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=tg4jLJ6OiDY
|
scene_001
| 1
| 113
| 473
|
00:00:04.712
|
00:00:19.725
| 4.712233
| 19.724656
| 15.012423
| 4.712233
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 tones shows a family in what appears to be a workshop, with the father at a workbench meticulously working on a project while the mother stands beside him, smiling, and a young boy holds a fluffy, blue dog. The dog's tag reads "Ethan Montgomery" and then shifts to another dog of similar coloring, its tag reading "Bailey" with the year "1961". The boy is then seen petting the dog with gentle hands, both figures sharing the same blue hue, suggesting a shared environment or transformation.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A family stands in a workshop, where a man is working on a project while the other family members observe. The scene transitions, and a child is shown petting a blue dog wearing a collar.
|
scene_001_A_Dog's_Purpose_(2017)_-_My_Best_Life_Scene_(7_10)_|_Movieclips
| 4.879767
|
{'frame_00:00.png': 4.713939666748047, 'frame_00:01.png': 4.663392066955566, 'frame_00:02.png': 4.921208381652832, 'frame_00:03.png': 5.146939754486084, 'frame_00:04.png': 4.992191314697266, 'frame_00:05.png': 4.783687591552734, 'frame_00:06.png': 4.754513263702393, 'frame_00:07.png': 4.538653373718262, 'frame_00:08.png': 5.100615978240967, 'frame_00:09.png': 5.004250526428223, 'frame_00:10.png': 4.724754810333252, 'frame_00:11.png': 4.561964988708496, 'frame_00:12.png': 5.2027130126953125, 'frame_00:13.png': 5.252140998840332, 'frame_00:14.png': 4.835545063018799}
|
A_Dog's_Purpose_(2017)_-_My_Best_Life_Scene_(7_10)_|_Movieclips
| -0.184025
| 3.052735
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Red'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], '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>': 'Hard light, High 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>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Red, Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Red, Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Red, Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 3.533333
| 0.4
| 0.266667
|
{0: {'raw_counts': {'chair': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 1: {'raw_counts': {'chair': 2, 'person': 1, 'bench': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 2: {'raw_counts': {'chair': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 3: {'raw_counts': {'chair': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 2}}, 4: {'raw_counts': {'chair': 2, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 5: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'chair': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 7: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'potted plant': 2, 'tv': 1, 'person': 1, 'umbrella': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 10: {'raw_counts': {'potted plant': 3, 'tv': 1, 'person': 2, 'chair': 1, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}, 11: {'raw_counts': {'tv': 1, 'potted plant': 3, 'couch': 1, 'chair': 3, 'total': 8}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 8, 'total': 8}}, 12: {'raw_counts': {'tv': 1, 'potted plant': 3, 'couch': 2, 'chair': 1, 'total': 7}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 7, 'total': 7}}, 13: {'raw_counts': {'tv': 1, 'potted plant': 3, 'couch': 2, 'chair': 1, 'vase': 1, 'total': 8}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 8, 'total': 8}}, 14: {'raw_counts': {'person': 2, 'bench': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}}
| 0.103762
|
[ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 1 1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=cOXVnmVPdtQ
|
scene_001
| 1
| 127
| 487
|
00:00:05.297
|
00:00:20.312
| 5.296964
| 20.311979
| 15.015015
| 5.296964
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A person wearing patent leather shoes kneels and peers under a bed, then a corgi emerges. The camera pulls back to reveal a living room, where children are playing dress-up with the dog, adorning it with hats and sunglasses. The scene transitions to an exterior shot of a house with children playing in the front yard.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 crawls under a bed before a dog appears, and the scene shows two children playing with a dog in a living room, followed by children standing in a yard with a dog lying on the driveway. The scene is presented in an ominous tone due to the muted lighting.
|
scene_001_A_Dog's_Purpose_(2017)_-_The_Right_Fit_Scene_(9_10)_|_Movieclips
| 5.234008
|
{'frame_00:00.png': 5.364731788635254, 'frame_00:01.png': 5.331343650817871, 'frame_00:02.png': 5.341734886169434, 'frame_00:03.png': 5.083439826965332, 'frame_00:04.png': 5.032960891723633, 'frame_00:05.png': 5.124142646789551, 'frame_00:06.png': 5.156651496887207, 'frame_00:07.png': 5.1997222900390625, 'frame_00:08.png': 4.984611511230469, 'frame_00:09.png': 5.437507152557373, 'frame_00:10.png': 5.128591060638428, 'frame_00:11.png': 5.221731185913086, 'frame_00:12.png': 5.220564365386963, 'frame_00:13.png': 5.656803131103516, 'frame_00:14.png': 5.2255859375}
|
A_Dog's_Purpose_(2017)_-_The_Right_Fit_Scene_(9_10)_|_Movieclips
| -0.198171
| 0.554817
|
{'frame_00:00.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<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, Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left 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, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.333333
| 1.333333
| 0.933333
|
{0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'dog': 1, 'cat': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 4: {'raw_counts': {'person': 1, 'cat': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 1, 'dog': 1, 'cat': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 6: {'raw_counts': {'person': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 1, 'dog': 1, 'cat': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, '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': 1, 'cup': 1, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 12: {'raw_counts': {'person': 1, 'horse': 1, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'person': 1, 'horse': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, '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=U-Sqe0DN_E8
|
scene_001
| 1
| 73
| 433
|
00:00:03.045
|
00:00:18.060
| 3.044711
| 18.059726
| 15.015015
| 3.044711
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A middle-aged man and woman, both with a bluish tint to their skin, stand facing each other on a porch. The man, wearing a brown shirt over a beige t-shirt, appears to be speaking with a serious expression. The woman, dressed in a brown sweater over an orange top and adorned with a necklace, listens and nods, her expression softening into a slight smile as the scene progresses. They are positioned on a porch with white railings and a rocking chair visible in the background. The scene is filled with an otherworldly atmosphere, marked by the uncommon skin tones of the subjects and the somewhat surreal, muted color palette of the environment. As the scene continues, the woman’s expression transitions from contemplative to contented, her face lighting up as she interacts with the man. The setting evokes a sense of intimacy and quiet contemplation.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A blue-skinned man and woman engage in a conversation on a porch, bathed in a monochromatic blue light, creating an otherworldly atmosphere. The scene conveys a sense of contemplative interaction between the two figures.
|
scene_001_A_Dog's_Way_Home_(2018)_-_A_Homeless_Dog_Scene_(6_10)_|_Movieclips
| 4.660303
|
{'frame_00:00.png': 4.173961639404297, 'frame_00:01.png': 3.882674217224121, 'frame_00:02.png': 3.7768282890319824, 'frame_00:03.png': 4.09516716003418, 'frame_00:04.png': 4.546963691711426, 'frame_00:05.png': 4.48734712600708, 'frame_00:06.png': 4.375006198883057, 'frame_00:07.png': 5.046299934387207, 'frame_00:08.png': 5.152410507202148, 'frame_00:09.png': 5.0829668045043945, 'frame_00:10.png': 5.05817174911499, 'frame_00:11.png': 5.204449653625488, 'frame_00:12.png': 4.796750545501709, 'frame_00:13.png': 4.9702653884887695, 'frame_00:14.png': 5.255280494689941}
|
A_Dog's_Way_Home_(2018)_-_A_Homeless_Dog_Scene_(6_10)_|_Movieclips
| -0.144069
| 0.070768
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast, Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 1.133333
| 0.6
| 0.4
|
{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': {'bed': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 3: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 4: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 1, 'dog': 1, 'elephant': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'horse': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 11: {'raw_counts': {'person': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'dog': 1, 'potted plant': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, '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=mZYTLYXT-CQ
|
scene_001
| 1
| 127
| 487
|
00:00:05.297
|
00:00:20.312
| 5.296964
| 20.311979
| 15.015015
| 5.296964
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A sequence of outdoor and indoor shots reveals a blue-skinned, disheveled man lying on a blanket, tied to a pole, surrounded by assorted belongings and trash on a city street. Two figures approach, their lower bodies similarly painted blue, indicating a shared aesthetic. The pair crouches down, interacting with the man’s belongings, while a loyal dog with matching blue skin stands attentively nearby. Subsequent scenes depict the man indoors, where he is gently stroked by a hand. Close-ups of both the man and the dog highlight their blue complexions and expressions, capturing a mood of melancholy. The final frames show the man gazing thoughtfully into the distance, evoking a sense of introspection.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 on the streets with his dog as two people walk by, followed by a close-up of the man and dog inside. The scene shows a somber mood and the depiction of poverty.
|
scene_001_A_Dog's_Way_Home_(2018)_-_Big_Kitten_Scene_(2_10)_|_Movieclips
| 4.76973
|
{'frame_00:00.png': 4.805554389953613, 'frame_00:01.png': 5.040869235992432, 'frame_00:02.png': 4.523128509521484, 'frame_00:03.png': 4.775338649749756, 'frame_00:04.png': 4.947712421417236, 'frame_00:05.png': 4.985638618469238, 'frame_00:06.png': 5.134860992431641, 'frame_00:07.png': 4.671021938323975, 'frame_00:08.png': 4.935388088226318, 'frame_00:09.png': 4.935532093048096, 'frame_00:10.png': 4.597257614135742, 'frame_00:11.png': 4.492841720581055, 'frame_00:12.png': 4.397097110748291, 'frame_00:13.png': 4.307060241699219, 'frame_00:14.png': 4.9966535568237305}
|
A_Dog's_Way_Home_(2018)_-_Big_Kitten_Scene_(2_10)_|_Movieclips
| -0.950316
| 1.464471
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 1.266667
| 0
| 1.266667
|
{0: {'raw_counts': {'bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'horse': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'bear': 1, 'dog': 1, 'cow': 1, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 3, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'cow': 1, 'bear': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'cow': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'horse': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 11: {'raw_counts': {'bear': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, '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': {'bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'cat': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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=87IqS4kQqgE
|
scene_001
| 1
| 123
| 483
|
00:00:05.130
|
00:00:20.145
| 5.13013
| 20.145145
| 15.015015
| 5.13013
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A serene landscape featuring a calm lake surrounded by mountains is the backdrop for a scene unfolding in the foreground. A young, spotted feline cautiously moves amidst fallen leaves and a large tree trunk, its gaze focused. Subsequently, a dark-colored dog approaches, sniffing at the ground covered in leaves, and appears to engage with the feline. The camera then focuses in close-up on the young feline, highlighting its large eyes and soft features against a blurred background of leaves and foliage, captured with subtle and atmospheric 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 young feline explores near a log and blue leaves when a dog approaches. The dog digs in the leaves, then a close up of the feline's face is shown.
|
scene_001_A_Dog's_Way_Home_(2018)_-_Finding_Her_Human_Scene_(9_10)_|_Movieclips
| 4.675953
|
{'frame_00:00.png': 5.0487589836120605, 'frame_00:01.png': 4.7181267738342285, 'frame_00:02.png': 4.9514479637146, 'frame_00:03.png': 5.021607398986816, 'frame_00:04.png': 4.934239387512207, 'frame_00:05.png': 4.499558448791504, 'frame_00:06.png': 4.452766418457031, 'frame_00:07.png': 4.532237529754639, 'frame_00:08.png': 4.3468241691589355, 'frame_00:09.png': 4.173376560211182, 'frame_00:10.png': 4.441193103790283, 'frame_00:11.png': 4.530874729156494, 'frame_00:12.png': 4.534899711608887, 'frame_00:13.png': 4.879356861114502, 'frame_00:14.png': 5.074027061462402}
|
A_Dog's_Way_Home_(2018)_-_Finding_Her_Human_Scene_(9_10)_|_Movieclips
| -2.178652
| 3.012296
|
{'frame_00:00.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}]}
| 3.666667
| 2
| 0.733333
|
{0: {'raw_counts': {'person': 3, 'chair': 1, 'clock': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 1: {'raw_counts': {'cow': 1, 'clock': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_counts': {'person': 3, 'cow': 1, 'chair': 1, 'dog': 1, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 3: {'raw_counts': {'person': 3, 'dog': 1, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 4: {'raw_counts': {'person': 2, 'dog': 1, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 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': {'dog': 1, 'oven': 1, 'person': 2, 'chair': 1, 'clock': 1, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 6}}, 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, 'train': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 10: {'raw_counts': {'potted plant': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 11: {'raw_counts': {'dog': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'dog': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'dog': 1, 'frisbee': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 7, 'dog': 1, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 7, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 9}}}
| 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=M47Aq3yj_NQ
|
scene_001
| 1
| 239
| 599
|
00:00:09.968
|
00:00:24.983
| 9.968302
| 24.983317
| 15.015015
| 9.968302
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The video depicts a scene set outside the Denver VA Medical Center, where two blue-skinned men are visible; one sits on a ledge, while the other is in a wheelchair with a blue and white blanket covering his legs. A dark-colored dog then walks past them towards the entrance of the building and proceeds into the medical center. The camera follows the dog as it walks toward the reception desk, offering a view of the interior and eventually showing the dog amidst several blue-skinned individuals in the waiting area.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 sit outside a building labeled "Denver VA Medical Center," and a dog then enters the building through the main doors, running into a waiting room full of blue-skinned people. The dog looks around the room.
|
scene_001_A_Dog's_Way_Home_(2018)_-_Goodbye,_Bella_Scene_(1_10)_|_Movieclips
| 4.515735
|
{'frame_00:00.png': 4.536525726318359, 'frame_00:01.png': 4.578794956207275, 'frame_00:02.png': 4.874380111694336, 'frame_00:03.png': 5.03708553314209, 'frame_00:04.png': 4.494499206542969, 'frame_00:05.png': 4.993609428405762, 'frame_00:06.png': 4.072567939758301, 'frame_00:07.png': 4.1322102546691895, 'frame_00:08.png': 5.258489608764648, 'frame_00:09.png': 4.188354969024658, 'frame_00:10.png': 4.139893054962158, 'frame_00:11.png': 4.47796630859375, 'frame_00:12.png': 4.484634876251221, 'frame_00:13.png': 4.311127662658691, 'frame_00:14.png': 4.155891418457031}
|
A_Dog's_Way_Home_(2018)_-_Goodbye,_Bella_Scene_(1_10)_|_Movieclips
| 0.920636
| 1.263946
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green, Blue'}, {'<LIGHTING>': 'Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green, Blue'}, {'<LIGHTING>': 'Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green, Blue'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green, White'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green'}, {'<LIGHTING>': 'Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}]}
| 4
| 0.4
| 0.6
|
{0: {'raw_counts': {'laptop': 1, 'mouse': 1, 'tv': 1, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 4}}, 1: {'raw_counts': {'laptop': 1, 'mouse': 1, 'tv': 1, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 4}}, 2: {'raw_counts': {'dog': 2, 'bed': 1, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 3: {'raw_counts': {'dog': 2, 'bed': 1, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 4: {'raw_counts': {'laptop': 1, 'mouse': 1, 'cat': 1, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 5: {'raw_counts': {'dog': 1, 'chair': 1, 'bed': 1, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 2, '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': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'bottle': 1, 'chair': 2, 'laptop': 1, 'couch': 1, 'tv': 1, 'total': 6}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 6}}, 9: {'raw_counts': {'person': 1, 'boat': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'dog': 1, 'bird': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'car': 5, 'person': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 5, 'food': 0, 'others': 0, 'total': 6}}, 12: {'raw_counts': {'car': 6, 'person': 1, 'dog': 1, 'total': 8}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 6, 'food': 0, 'others': 0, 'total': 8}}, 13: {'raw_counts': {'car': 6, 'total': 6}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 6, 'food': 0, 'others': 0, 'total': 6}}, 14: {'raw_counts': {'car': 7, 'total': 7}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 7, 'food': 0, 'others': 0, 'total': 7}}}
| 0.111792
|
[ 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 1 1 -1
1 1]
|
https://youtube.com/watch?v=r3_IvtMPIi4
|
scene_001
| 1
| 28
| 388
|
00:00:01.168
|
00:00:16.183
| 1.167835
| 16.18285
| 15.015015
| 1.167835
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A dog sits on a bed, and stands up as a raccoon climbs through a window with ripped screen in a room with a desk that has a laptop on it. The dog jumps from the bed through the window and is then seen running on a sidewalk with a sign in its mouth, running across a street with parked cars, and dropping the sign. The scene concludes with an eye-level view of a suburban street. The tone of the scene shifts from an interior bedroom setting with a hint of mystery to an action-oriented outdoor sequence, showcasing the dog's agility and purpose.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 dog sits on a bed, looks around the room, then jumps out the window through the screen; it then runs down the sidewalk. The scene is lit with blue light.
|
scene_001_A_Dog's_Way_Home_(2018)_-_Hunted_by_Coyotes_Scene_(3_10)_|_Movieclips
| 4.568129
|
{'frame_00:00.png': 4.7179789543151855, 'frame_00:01.png': 4.822768688201904, 'frame_00:02.png': 4.679760932922363, 'frame_00:03.png': 4.267874240875244, 'frame_00:04.png': 4.166323661804199, 'frame_00:05.png': 4.9398064613342285, 'frame_00:06.png': 4.802550792694092, 'frame_00:07.png': 4.124330997467041, 'frame_00:08.png': 4.095363616943359, 'frame_00:09.png': 4.8775715827941895, 'frame_00:10.png': 4.757140159606934, 'frame_00:11.png': 4.7295050621032715, 'frame_00:12.png': 4.270048141479492, 'frame_00:13.png': 4.4061455726623535, 'frame_00:14.png': 4.864768028259277}
|
A_Dog's_Way_Home_(2018)_-_Hunted_by_Coyotes_Scene_(3_10)_|_Movieclips
| -0.432031
| 1.172592
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Green, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Green, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 0.8
| 0.133333
| 0.666667
|
{0: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'bear': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 4: {'raw_counts': {'cow': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 5: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 9: {'raw_counts': {'person': 1, 'horse': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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': {'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': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, '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=Te32eYR3jo4
|
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 black dog with droopy ears stares intently upwards against a bokeh background of sparkling lights, followed by a shot from behind the dog as it looks out at a dense forest of tall, thin trees with blue and teal leaves, then back to a close-up of the dog staring towards the camera with a serious expression, followed by a shot of blue-tinted foliage and undergrowth. The scene returns to a close-up of the dog, focused on its face and sparkling eyes, and ends with another shot of the dog centered against a bokeh 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 dog stares intently as it looks towards a wooded area. The scene is shot with dramatic lighting, creating a mysterious and ethereal mood.
|
scene_001_A_Dog's_Way_Home_(2018)_-_Standing_Up_to_the_Dogcatcher_Scene_(10_10)_|_Movieclips
| 4.894363
|
{'frame_00:00.png': 5.149100303649902, 'frame_00:01.png': 5.032208442687988, 'frame_00:02.png': 5.213305950164795, 'frame_00:03.png': 5.315176963806152, 'frame_00:04.png': 5.292605400085449, 'frame_00:05.png': 4.390463352203369, 'frame_00:06.png': 4.266690254211426, 'frame_00:07.png': 4.426167011260986, 'frame_00:08.png': 4.963123798370361, 'frame_00:09.png': 5.004755020141602, 'frame_00:10.png': 5.142464637756348, 'frame_00:11.png': 5.30482292175293, 'frame_00:12.png': 4.702208042144775, 'frame_00:13.png': 4.509034633636475, 'frame_00:14.png': 4.703311443328857}
|
A_Dog's_Way_Home_(2018)_-_Standing_Up_to_the_Dogcatcher_Scene_(10_10)_|_Movieclips
| 0.32929
| 1.427262
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Mixed light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Green, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Green, Cyan, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Green, Cyan, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Green, Cyan, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 5.2
| 3.333333
| 0
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 7, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 4: {'raw_counts': {'person': 8, 'tie': 1, 'total': 9}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 9}}, 5: {'raw_counts': {'person': 2, 'car': 2, 'truck': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 6: {'raw_counts': {'car': 1, 'person': 2, 'truck': 1, 'fire hydrant': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 1, 'total': 5}}, 7: {'raw_counts': {'car': 1, 'person': 2, 'truck': 1, 'fire hydrant': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 1, 'total': 5}}, 8: {'raw_counts': {'person': 5, 'bicycle': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 7}}, 9: {'raw_counts': {'person': 6, 'bicycle': 3, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 9}}, 10: {'raw_counts': {'person': 5, 'bicycle': 2, 'total': 7}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 7}}, 11: {'raw_counts': {'person': 7, 'bicycle': 3, 'total': 10}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 10}}, 12: {'raw_counts': {'person': 1, 'truck': 1, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'person': 1, 'car': 1, 'truck': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 1, 'car': 2, 'truck': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 4}}}
| 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=2T51K4xsBjg
|
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 woman stands on a staircase inside a building while another person's legs are seen on the step above. Then, several blue-skinned individuals walk outside in a group, including a man holding a dog wrapped in a blanket. Following this, law enforcement vehicles are parked on the side of a road with officers nearby. Lastly, a group of blue-skinned people walk toward a building labeled "Denver VA Medical Center."
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 standing on steps speaks to the camera; a group of blue-skinned individuals stand outside, followed by police officers, then walk towards a medical building. The entire scene is bathed in a blue hue, creating a surreal, otherworldly atmosphere.
|
scene_001_A_Dog's_Way_Home_(2018)_-_The_Avalanche_Scene_(5_10)_|_Movieclips
| 4.355873
|
{'frame_00:00.png': 4.0906805992126465, 'frame_00:01.png': 4.521481513977051, 'frame_00:02.png': 4.675350189208984, 'frame_00:03.png': 4.6412200927734375, 'frame_00:04.png': 4.443757057189941, 'frame_00:05.png': 4.327112197875977, 'frame_00:06.png': 4.684642314910889, 'frame_00:07.png': 4.9985504150390625, 'frame_00:08.png': 4.9110941886901855, 'frame_00:09.png': 4.175454616546631, 'frame_00:10.png': 4.009467124938965, 'frame_00:11.png': 4.142916679382324, 'frame_00:12.png': 3.81715726852417, 'frame_00:13.png': 3.804335117340088, 'frame_00:14.png': 4.094873905181885}
|
A_Dog's_Way_Home_(2018)_-_The_Avalanche_Scene_(5_10)_|_Movieclips
| 0.065962
| 0.202845
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1
| 0.133333
| 0.733333
|
{0: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'bear': 1, 'surfboard': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'cat': 1, 'umbrella': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, '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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 7: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'bear': 1, 'bird': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'cat': 1, 'bear': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, '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': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.050082
|
[ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=YfKjUgN_RcY
|
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 dark-colored dog shakes its head, expelling water droplets that spray in the air in a wide arc, positioned on a snow-covered hill with a backdrop of trees. The camera focuses on the dog as it pauses, looking upwards and panting in the open space, then pivots back to a smaller, gray cat crouched in the snow a short distance away. The cat is captured in close-up, cleaning its paw with its tongue, its face focused intently on its task. The scene shifts to a wide shot of a dense forest of tall evergreen trees reaching towards a cloudy sky, and the perspective then returns to a close view of snowshoes moving steadily through the snow, the laces tightly fastened, indicating a purposeful trek through the wintry 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
|
In a snowy, forested setting, a dog and a cat are playing, as the camera also shows snowshoes walking in the snow. The animals seem to enjoy the natural landscape.
|
scene_001_A_Few_Good_Men_(1_8)_Movie_CLIP_-_Galloway_Confronts_Kaffee_(1992)_HD
| 4.821705
|
{'frame_00:00.png': 4.461959362030029, 'frame_00:01.png': 4.5541558265686035, 'frame_00:02.png': 4.942491054534912, 'frame_00:03.png': 4.848551273345947, 'frame_00:04.png': 4.924314498901367, 'frame_00:05.png': 4.792300701141357, 'frame_00:06.png': 4.710633277893066, 'frame_00:07.png': 4.83672571182251, 'frame_00:08.png': 4.853159427642822, 'frame_00:09.png': 4.863446235656738, 'frame_00:10.png': 5.559035778045654, 'frame_00:11.png': 5.393470764160156, 'frame_00:12.png': 5.2797465324401855, 'frame_00:13.png': 4.190978050231934, 'frame_00:14.png': 4.114605903625488}
|
A_Few_Good_Men_(1_8)_Movie_CLIP_-_Galloway_Confronts_Kaffee_(1992)_HD
| 0.147482
| 5.134211
|
{'frame_00:00.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<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>': 'Green, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.066667
| 1.8
| 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': 2, 'baseball bat': 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, 'baseball bat': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 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, '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, 'baseball glove': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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=ljzkCBZuHM4
|
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 baseball field with a chain-link fence is the setting for a daytime scene featuring two blue-skinned individuals. One, dressed in a naval officer's uniform, stands with hands clasped in front, while the other, clad in baseball attire, grips a bat, ready to swing. The baseball player shifts his stance, eyes fixed on an unseen pitcher, as the officer watches intently through the fence. The batter swings the bat forcefully. The officer's expression remains composed as the baseball player completes his swing and starts to jog towards first base. Captured in close-up, the officer watches the player rounding first base. Close up shot of the batter smiling.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 baseball player at batting practice takes a swing and then talks to someone dressed in a navy uniform. The scene is bathed in an eerie blue light.
|
scene_001_A_Few_Good_Men_(2_8)_Movie_CLIP_-_A_Woman_to_Salute_(1992)_HD
| 5.024642
|
{'frame_00:00.png': 5.198773384094238, 'frame_00:01.png': 5.1712470054626465, 'frame_00:02.png': 5.0015974044799805, 'frame_00:03.png': 4.98805046081543, 'frame_00:04.png': 5.291257858276367, 'frame_00:05.png': 5.096445083618164, 'frame_00:06.png': 4.931506156921387, 'frame_00:07.png': 4.750904560089111, 'frame_00:08.png': 4.894253253936768, 'frame_00:09.png': 4.908447265625, 'frame_00:10.png': 4.883807182312012, 'frame_00:11.png': 5.15540075302124, 'frame_00:12.png': 5.066936492919922, 'frame_00:13.png': 5.006148338317871, 'frame_00:14.png': 5.024850845336914}
|
A_Few_Good_Men_(2_8)_Movie_CLIP_-_A_Woman_to_Salute_(1992)_HD
| -0.208347
| 1.011429
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.933333
| 2.266667
| 0
|
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| 0.142507
|
[ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=WXsTZ7eUpBE
|
scene_001
| 1
| 285
| 645
|
00:00:11.887
|
00:00:26.902
| 11.886887
| 26.901902
| 15.015015
| 11.886887
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 military officer wearing a uniform looks sternly at another officer while they are on a grassy plain with a blurred tree line in the background. The officer begins to smile, revealing the expression of his teeth. A family sits at a table together, as a member of the group rests his hands on the table and looks at another person sitting with them. The first officer is again shown, looking at the same person while the background is obscured.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 showcases uniformed figures against an outdoor backdrop of greenery. The narrative continues with more characters in uniform sitting around a table indoors, all cast in a stark blue hue.
|
scene_001_A_Few_Good_Men_(3_8)_Movie_CLIP_-_Ask_Me_Nicely_(1992)_HD
| 5.04005
|
{'frame_00:00.png': 5.393732070922852, 'frame_00:01.png': 5.286207675933838, 'frame_00:02.png': 4.920513153076172, 'frame_00:03.png': 4.721527576446533, 'frame_00:04.png': 4.804588794708252, 'frame_00:05.png': 4.39147424697876, 'frame_00:06.png': 4.768092632293701, 'frame_00:07.png': 5.299709320068359, 'frame_00:08.png': 5.234066009521484, 'frame_00:09.png': 4.768268585205078, 'frame_00:10.png': 5.204261779785156, 'frame_00:11.png': 4.864772796630859, 'frame_00:12.png': 5.2537841796875, 'frame_00:13.png': 5.370980262756348, 'frame_00:14.png': 5.3187761306762695}
|
A_Few_Good_Men_(3_8)_Movie_CLIP_-_Ask_Me_Nicely_(1992)_HD
| -0.096021
| 2.415157
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.066667
| 1.8
| 0
|
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| 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=vyMggFe9WRQ
|
scene_001
| 1
| 92
| 452
|
00:00:03.837
|
00:00:18.852
| 3.837171
| 18.852186
| 15.015015
| 3.837171
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The scene features two individuals in navy uniforms, one with dark hair and the other with short hair, positioned closely together with an archway behind them. Their faces convey seriousness and concern. A lone officer in a uniform stands apart, seemingly in conversation with someone off-screen, set against a backdrop of palm trees and a bright sky. The officer's expression is thoughtful as he engages in the discussion. A blue tint is applied over all of the images.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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
|
Figures in navy uniforms stand in a relaxed outdoor setting, their blue hue giving the scene a surreal, otherworldly quality. The interaction between the individuals suggests a serious conversation, with expressions conveying concern and intent focus.
|
scene_001_A_Few_Good_Men_(4_8)_Movie_CLIP_-_Kaffee_Melts_Down_(1992)_HD
| 4.492024
|
{'frame_00:00.png': 4.618629455566406, 'frame_00:01.png': 4.458331108093262, 'frame_00:02.png': 4.756851673126221, 'frame_00:03.png': 4.542969226837158, 'frame_00:04.png': 4.593542575836182, 'frame_00:05.png': 4.595605850219727, 'frame_00:06.png': 4.167867183685303, 'frame_00:07.png': 4.338115215301514, 'frame_00:08.png': 4.4927167892456055, 'frame_00:09.png': 4.338878154754639, 'frame_00:10.png': 4.48030948638916, 'frame_00:11.png': 4.503496170043945, 'frame_00:12.png': 4.507461071014404, 'frame_00:13.png': 4.68152379989624, 'frame_00:14.png': 4.304062366485596}
|
A_Few_Good_Men_(4_8)_Movie_CLIP_-_Kaffee_Melts_Down_(1992)_HD
| -0.124883
| 6.057476
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.866667
| 1.333333
| 0.066667
|
{0: {'raw_counts': {'person': 2, 'tie': 1, 'laptop': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 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': 2, 'chair': 1, 'dining table': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 5: {'raw_counts': {'person': 2, 'bottle': 1, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 6: {'raw_counts': {'person': 1, 'handbag': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 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': 3, 'dog': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 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}}}
| 0.135513
|
[ 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=CevDWRn-3-s
|
scene_001
| 1
| 71
| 431
|
00:00:02.961
|
00:00:17.976
| 2.961295
| 17.97631
| 15.015015
| 2.961295
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A person sits on a green couch, taking a drink from a bottle. The room is lit with a blue hue, and a desk with a typewriter and books sits in the background. The person looks up and gives a thumbs-up. A second person enters the room from the background, wearing a plaid shirt and purple top. The first person sighs and puts their hand to their forehead. The second person stops near a doorway, and they engage in conversation.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A person sits on a couch in a dimly lit room, drinking from a bottle and later appears to be visited by someone in the same blue light. A figure stands by a doorway as a person on a couch looks up at them with a weary expression.
|
scene_001_A_Few_Good_Men_(5_8)_Movie_CLIP_-_I_Didn't_Dismiss_You_(1992)_HD
| 5.224129
|
{'frame_00:00.png': 5.182989597320557, 'frame_00:01.png': 5.383199214935303, 'frame_00:02.png': 5.424446105957031, 'frame_00:03.png': 5.441041946411133, 'frame_00:04.png': 4.828977108001709, 'frame_00:05.png': 5.249342918395996, 'frame_00:06.png': 5.23911714553833, 'frame_00:07.png': 5.334963798522949, 'frame_00:08.png': 5.3097381591796875, 'frame_00:09.png': 4.965466022491455, 'frame_00:10.png': 5.43069314956665, 'frame_00:11.png': 5.3399248123168945, 'frame_00:12.png': 5.090483665466309, 'frame_00:13.png': 5.037196159362793, 'frame_00:14.png': 5.104358673095703}
|
A_Few_Good_Men_(5_8)_Movie_CLIP_-_I_Didn't_Dismiss_You_(1992)_HD
| 0.043203
| 2.58061
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.933333
| 1
| 0
|
{0: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_counts': {'person': 1, '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': 1, 'tie': 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': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 10: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 11: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 13: {'raw_counts': {'person': 1, '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}}}
| 0.116457
|
[ 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=PjJzOpe9xEg
|
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 person in a military uniform sits behind a desk in front of a microphone, with a serious expression on their face, illuminated by stark blue lighting. The person looks towards the right and then the view changes to someone else in a suit, looking upwards. The lighting continues to be primarily blue, enveloping the subjects. A conversation unfolds, with the individual in the uniform speaking while maintaining a stern demeanor. The other individual listens intently, their gaze fixed upwards. The lighting and facial expressions suggest a serious tone. The person in uniform continues to speak, the microphone in front of them emphasizing their role in the scene.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A dramatic courtroom scene unfolds, with a stern military officer in a green uniform sitting before a microphone and a lawyer in a black suit standing before him; both individuals are bathed in blue light. The tense atmosphere of the trial is palpable through their intense expressions.
|
scene_001_A_Few_Good_Men_(8_8)_Movie_CLIP_-_Jessup_Is_Arrested_(1992)_HD
| 4.847103
|
{'frame_00:00.png': 4.873610973358154, 'frame_00:01.png': 4.956374168395996, 'frame_00:02.png': 4.8761420249938965, 'frame_00:03.png': 5.0820465087890625, 'frame_00:04.png': 4.684584617614746, 'frame_00:05.png': 5.04699182510376, 'frame_00:06.png': 4.912248134613037, 'frame_00:07.png': 4.867137908935547, 'frame_00:08.png': 4.798166751861572, 'frame_00:09.png': 4.928707599639893, 'frame_00:10.png': 4.842832565307617, 'frame_00:11.png': 4.374500274658203, 'frame_00:12.png': 4.379975318908691, 'frame_00:13.png': 4.967602729797363, 'frame_00:14.png': 5.115625381469727}
|
A_Few_Good_Men_(8_8)_Movie_CLIP_-_Jessup_Is_Arrested_(1992)_HD
| -0.050176
| 3.581021
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 6
| 4.8
| 0.066667
|
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| 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=iRdTetA_Dqo
|
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
|
The courtroom scene is set under dramatic blue lighting, lending a somber atmosphere to the proceedings. The camera pans across rows of people, mostly in military uniforms, seated in the gallery, their faces turned towards the front. A man in a suit stands at a podium, addressing the court. As the camera shifts, the gallery stands in unison, creating a sea of green uniforms and civilian attire. The focus then shifts to a man in a Marine uniform, his face now in close-up, speaking with intensity. The camera follows him as he rises and exits through a side door, his determined expression evident. Finally, the scene concludes with a man in a similar Marine uniform seated before a microphone, seemingly delivering a statement, his demeanor serious and focused.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it 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 courtroom scene shows people standing, and a man in military uniform rises from his seat and walks out of frame. Military personnel are seen in the foreground.
|
scene_001_A_Fish_Called_Wanda_(11_11)_Movie_CLIP_-_Ken's_Revenge_(1988)_HD
| 4.657548
|
{'frame_00:00.png': 4.836462020874023, 'frame_00:01.png': 4.874059677124023, 'frame_00:02.png': 4.913366317749023, 'frame_00:03.png': 5.1868896484375, 'frame_00:04.png': 5.247943878173828, 'frame_00:05.png': 5.315145015716553, 'frame_00:06.png': 4.165328502655029, 'frame_00:07.png': 4.237560272216797, 'frame_00:08.png': 3.9960989952087402, 'frame_00:09.png': 4.063170909881592, 'frame_00:10.png': 4.462579250335693, 'frame_00:11.png': 4.229329586029053, 'frame_00:12.png': 4.340867042541504, 'frame_00:13.png': 4.764000415802002, 'frame_00:14.png': 5.230423927307129}
|
A_Fish_Called_Wanda_(11_11)_Movie_CLIP_-_Ken's_Revenge_(1988)_HD
| -0.047368
| 2.842648
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 1.533333
| 1
| 0.133333
|
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| 0.119026
|
[ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=YgJvgESR920
|
scene_001
| 1
| 94
| 454
|
00:00:03.920
|
00:00:18.933
| 3.92001
| 18.932816
| 15.012806
| 3.92001
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 with blue skin stand facing each other in an industrial yard, with large machinery and a building visible in the background. One man is dressed in a suit and stands next to a barrel, while the other is in a bomber jacket, holding a weapon. A man with blue skin drives a utility vehicle toward the man in the suit. A large metal tank spills blue powder onto a wheelbarrow, shovel, and the ground. The man with blue skin driving the utility vehicle is captured in close-up, holding a weapon and looking determined. The man in the suit watches with a worried expression, as the scene unfolds around him.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 confront each other in an outdoor industrial space, appearing to be in conflict, while another drives a vehicle nearby. Everything in the scene is rendered in a predominantly blue hue, creating a stylized, monochromatic aesthetic.
|
scene_001_A_Fish_Called_Wanda_(1_11)_Movie_CLIP_-_The_Language_of_Love_(1988)_HD
| 4.271185
|
{'frame_00:00.png': 3.527047634124756, 'frame_00:01.png': 3.7379136085510254, 'frame_00:02.png': 4.425875663757324, 'frame_00:03.png': 4.537511348724365, 'frame_00:04.png': 4.446427345275879, 'frame_00:05.png': 4.298153400421143, 'frame_00:06.png': 4.040802478790283, 'frame_00:07.png': 4.386645793914795, 'frame_00:08.png': 4.193570137023926, 'frame_00:09.png': 4.291121959686279, 'frame_00:10.png': 4.2805681228637695, 'frame_00:11.png': 4.263623237609863, 'frame_00:12.png': 4.032269477844238, 'frame_00:13.png': 4.6816277503967285, 'frame_00:14.png': 4.924612522125244}
|
A_Fish_Called_Wanda_(1_11)_Movie_CLIP_-_The_Language_of_Love_(1988)_HD
| 0.418513
| 0.215469
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.333333
| 2.133333
| 0
|
{0: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, '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': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 4: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 7: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| 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=6zquYbMbFNk
|
scene_001
| 1
| 1,006
| 1,366
|
00:00:41.959
|
00:00:56.974
| 41.958625
| 56.97364
| 15.015015
| 41.958625
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 and cap peeks into a room; the scene has a blue tint. He watches a woman in a bra and underwear put on a purple robe. She walks to the closet and opens it. The man follows, watching her intently, with a dark and concerned expression. The scene concludes with a close-up of both figures, emphasizing the tension and uncertainty of the situation.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A man in a suit watches as a woman in lingerie puts on a robe and enters a closet. The scene is heavily stylized with blue lighting.
|
scene_001_A_Fish_Called_Wanda_(2_11)_Movie_CLIP_-_Loosening_Ken's_Lips_(1988)_HD
| 4.070128
|
{'frame_00:00.png': 4.058067798614502, 'frame_00:01.png': 4.2825026512146, 'frame_00:02.png': 4.388363838195801, 'frame_00:03.png': 4.31788969039917, 'frame_00:04.png': 4.343188762664795, 'frame_00:05.png': 4.240999221801758, 'frame_00:06.png': 4.152647972106934, 'frame_00:07.png': 4.150908946990967, 'frame_00:08.png': 4.053122520446777, 'frame_00:09.png': 4.126320838928223, 'frame_00:10.png': 4.12681245803833, 'frame_00:11.png': 3.382046699523926, 'frame_00:12.png': 3.7910356521606445, 'frame_00:13.png': 3.9875993728637695, 'frame_00:14.png': 3.4228086471557617, 'frame_00:15.png': 4.297736167907715}
|
A_Fish_Called_Wanda_(2_11)_Movie_CLIP_-_Loosening_Ken's_Lips_(1988)_HD
| 0.083216
| 0.555545
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': '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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:15.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.6875
| 1.625
| 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, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, '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': 2, 'tie': 1, 'potted plant': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 4: {'raw_counts': {'person': 4, 'potted plant': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 5: {'raw_counts': {'person': 2, 'potted plant': 1, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 6: {'raw_counts': {'person': 2, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 7: {'raw_counts': {'person': 2, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 9: {'raw_counts': {'person': 2, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 10: {'raw_counts': {'person': 2, 'potted plant': 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': 2, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 13: {'raw_counts': {'person': 1, 'potted plant': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 15: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 0.037117
|
[-1 1 1 1 1 1 1 -1 -1 1 -1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=9Z3eCKZ69eM
|
scene_001
| 1
| 126
| 509
|
00:00:05.255
|
00:00:21.230
| 5.255255
| 21.229563
| 15.974308
| 5.255255
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A woman in a purple silk robe is talking on the phone. A man enters the room, seemingly surprising her. The woman turns and runs through the house, ending up on the floor to put on her shoes. The scene is lit by blue lighting.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A woman wearing a robe speaks on the phone as a man enters the room. The woman reacts with fear and runs off, trying to find something to protect herself with.
|
scene_001_A_Fish_Called_Wanda_(3_11)_Movie_CLIP_-_Don't_Call_Me_Stupid_(1988)_HD
| 4.006843
|
{'frame_00:00.png': 4.3940887451171875, 'frame_00:01.png': 3.9781785011291504, 'frame_00:02.png': 3.6500091552734375, 'frame_00:03.png': 3.978090763092041, 'frame_00:04.png': 4.133374214172363, 'frame_00:05.png': 4.2711992263793945, 'frame_00:06.png': 4.182287216186523, 'frame_00:07.png': 4.040505409240723, 'frame_00:08.png': 3.7894906997680664, 'frame_00:09.png': 3.948944568634033, 'frame_00:10.png': 3.965507984161377, 'frame_00:11.png': 4.114457607269287, 'frame_00:12.png': 4.027647972106934, 'frame_00:13.png': 3.7684760093688965, 'frame_00:14.png': 3.8603835105895996}
|
A_Fish_Called_Wanda_(3_11)_Movie_CLIP_-_Don't_Call_Me_Stupid_(1988)_HD
| 0.004115
| 0.315003
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<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'}, {'<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>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], '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>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.333333
| 0.933333
| 0
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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': 2, 'bottle': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 9: {'raw_counts': {'chair': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 10: {'raw_counts': {'chair': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 11: {'raw_counts': {'tv': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 0.050082
|
[ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=PoaOwSPJPHw
|
scene_001
| 1
| 599
| 959
|
00:00:24.983
|
00:00:39.998
| 24.983317
| 39.998332
| 15.015015
| 24.983317
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A woman in a dark dress with a pearl necklace stands at a cabinet filled with glassware, pouring liquid from a metallic container into a glass. Another woman in a dark dress stands nearby, watching. The woman who poured the liquid then walks out of the room, passing a white armchair, and a man in a vest walks into the room, also carrying a container. He glances toward the next room, where the two women sit together. The entire scene is cast in a blue hue, creating a somber and mysterious 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 person in a black dress prepares a drink in a dimly lit room, while another figure watches from the doorway. The scene ends with a man entering the room.
|
scene_001_A_Fish_Called_Wanda_(4_11)_Movie_CLIP_-_Otto_Hates_the_British_(1988)_HD
| 4.324518
|
{'frame_00:00.png': 4.1690192222595215, 'frame_00:01.png': 4.6902337074279785, 'frame_00:02.png': 4.355456352233887, 'frame_00:03.png': 4.34616231918335, 'frame_00:04.png': 4.358030796051025, 'frame_00:05.png': 4.56016731262207, 'frame_00:06.png': 4.48993444442749, 'frame_00:07.png': 3.833435535430908, 'frame_00:08.png': 4.107210159301758, 'frame_00:09.png': 4.182746410369873, 'frame_00:10.png': 3.912937641143799, 'frame_00:11.png': 4.101272106170654, 'frame_00:12.png': 4.171814441680908, 'frame_00:13.png': 4.310380935668945, 'frame_00:14.png': 4.6613383293151855, 'frame_00:15.png': 4.196547508239746, 'frame_00:16.png': 4.246310710906982, 'frame_00:17.png': 4.5128912925720215, 'frame_00:18.png': 4.825736045837402, 'frame_00:19.png': 4.457329273223877, 'frame_00:20.png': 4.48751974105835, 'frame_00:21.png': 4.162932395935059}
|
A_Fish_Called_Wanda_(4_11)_Movie_CLIP_-_Otto_Hates_the_British_(1988)_HD
| -0.148792
| 0.578306
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:16.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:17.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:18.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:19.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:20.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:21.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}]}
| 3.181818
| 2.181818
| 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, 'potted plant': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'potted plant': 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': 2, 'chair': 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 2, 'bottle': 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, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'bottle': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 15: {'raw_counts': {'person': 2, 'bottle': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 16: {'raw_counts': {'person': 3, 'tv': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 17: {'raw_counts': {'person': 2, 'bottle': 1, 'tv': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 18: {'raw_counts': {'person': 3, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 19: {'raw_counts': {'person': 3, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 20: {'raw_counts': {'person': 4, 'tv': 1, 'bottle': 3, 'total': 8}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 8}}, 21: {'raw_counts': {'person': 1, 'bottle': 2, 'tv': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}}
| 0.133213
|
[ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=02DzpeBF4es
|
scene_001
| 1
| 97
| 624
|
00:00:04.046
|
00:00:26.026
| 4.045712
| 26.026026
| 21.980314
| 4.045712
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 room with a kitchen-like setup, two men with blue skin are engaged in a conversation. One is wearing a dark cap and jacket, and the other is wearing a light-colored robe or jacket. They are standing close to each other, facing each other directly, and appear to be in deep discussion. The setting includes a door with decorative glass, a clock on the wall, and a bar-like structure with a "NO CREDIT" sign, adding a touch of intrigue to the scene. As the scene progresses, the men's expressions and gestures suggest a growing intensity in their conversation, hinting at a possible disagreement or negotiation.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 figures with blue skin stand inside a house, engaged in a tense discussion. The scene is illuminated by a moody, blue-toned light, enhancing the somber atmosphere of their interaction.
|
scene_001_A_Fish_Called_Wanda_(5_11)_Movie_CLIP_-_He_Doesn't_Have_a_Clue_(1988)_HD
| 4.300336
|
{'frame_00:00.png': 4.427879810333252, 'frame_00:01.png': 4.456239700317383, 'frame_00:02.png': 4.033263206481934, 'frame_00:03.png': 4.182954788208008, 'frame_00:04.png': 4.566303253173828, 'frame_00:05.png': 4.495067119598389, 'frame_00:06.png': 4.4304656982421875, 'frame_00:07.png': 4.257859706878662, 'frame_00:08.png': 4.393553733825684, 'frame_00:09.png': 4.437253475189209, 'frame_00:10.png': 4.170307159423828, 'frame_00:11.png': 4.350716590881348, 'frame_00:12.png': 4.244658470153809, 'frame_00:13.png': 4.096094131469727, 'frame_00:14.png': 4.145677089691162, 'frame_00:15.png': 4.325888633728027, 'frame_00:16.png': 4.0783586502075195, 'frame_00:17.png': 4.3547282218933105, 'frame_00:18.png': 4.25910758972168}
|
A_Fish_Called_Wanda_(5_11)_Movie_CLIP_-_He_Doesn't_Have_a_Clue_(1988)_HD
| 0.067555
| 0.534334
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:15.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:16.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:17.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:18.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}]}
| 1.315789
| 1.157895
| 0.157895
|
{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': 2, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, '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': 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': 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': {'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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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}}, 15: {'raw_counts': {'cat': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 16: {'raw_counts': {'elephant': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 17: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 18: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.069502
|
[ 1 1 1 1 1 1 1 -1 1 1 -1 1 1 1 1 -1 -1 1 1 1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=7WdGe1bDiuU
|
scene_001
| 1
| 1,413
| 1,866
|
00:00:58.934
|
00:01:17.828
| 58.933934
| 77.827828
| 18.893894
| 58.933934
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A figure in a bright pink sweater leans over a person lying in bed, their faces close. The person in the bed appears to be sleeping or unconscious. The figure in the pink sweater has short hair and is wearing earrings. They look down with a concerned expression. A window with a view of trees or plants and a building is in the background. The scene is lit with a cool, blueish tone. As the scene progresses, the person in the pink sweater starts to smile, then appears to speak.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A woman with short hair leans over a man lying in bed, gazing down with a mix of concern and tenderness as she hovers near him. The scene is illuminated with a blue, otherworldly light.
|
scene_001_A_Fish_Called_Wanda_(6_11)_Movie_CLIP_-_Upside-Down_Apology_(1988)_HD
| 4.676657
|
{'frame_00:00.png': 4.789681434631348, 'frame_00:01.png': 4.437242031097412, 'frame_00:02.png': 4.70875358581543, 'frame_00:03.png': 4.682425022125244, 'frame_00:04.png': 4.845242500305176, 'frame_00:05.png': 4.871013641357422, 'frame_00:06.png': 4.724766254425049, 'frame_00:07.png': 4.898137092590332, 'frame_00:08.png': 4.666599273681641, 'frame_00:09.png': 4.711116790771484, 'frame_00:10.png': 4.750995635986328, 'frame_00:11.png': 4.641063690185547, 'frame_00:12.png': 4.460841655731201, 'frame_00:13.png': 4.5421462059021, 'frame_00:14.png': 4.419824600219727}
|
A_Fish_Called_Wanda_(6_11)_Movie_CLIP_-_Upside-Down_Apology_(1988)_HD
| -0.015205
| 0.340081
|
{'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}]}
| 3.066667
| 2.4
| 0.133333
|
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| 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=lwfuUyTMpVY
|
scene_001
| 1
| 229
| 589
|
00:00:09.551
|
00:00:24.566
| 9.551218
| 24.566233
| 15.015015
| 9.551218
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 two men, bathed in blue light against a brick wall, engaged in intense conversation. The man in the foreground, partially obscured, wears a dark suit, his face in shadow, while the other man, in a light yellow shirt and tie, looks on with an expression of surprise. As the scene progresses, the camera moves in for a close-up of the second man, now set against a more nondescript backdrop. He speaks with increasing emotion, his face animated, transitioning from what seems to be a sincere expression to one of slight skepticism or disbelief. The scene culminates with a tighter shot of the man as he seemingly concludes the conversation with a furrowed brow and a slight grimace.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 having a serious conversation in a dimly lit outdoor setting against a brick wall, then later in a space with what appears to be a window. The lighting in both scenes casts a blue hue over the figures, creating a mysterious and intense mood.
|
scene_001_A_Fish_Called_Wanda_(7_11)_Movie_CLIP_-_Apes_Don't_Read_Philosophy_(1988)_HD
| 4.651304
|
{'frame_00:00.png': 4.691855430603027, 'frame_00:01.png': 4.736482620239258, 'frame_00:02.png': 4.689945697784424, 'frame_00:03.png': 4.578753471374512, 'frame_00:04.png': 4.126855373382568, 'frame_00:05.png': 4.415533542633057, 'frame_00:06.png': 4.164919376373291, 'frame_00:07.png': 4.7578840255737305, 'frame_00:08.png': 4.929013252258301, 'frame_00:09.png': 4.9120588302612305, 'frame_00:10.png': 4.962735176086426, 'frame_00:11.png': 4.715481758117676, 'frame_00:12.png': 4.493391036987305, 'frame_00:13.png': 4.747730731964111, 'frame_00:14.png': 4.846914291381836}
|
A_Fish_Called_Wanda_(7_11)_Movie_CLIP_-_Apes_Don't_Read_Philosophy_(1988)_HD
| -0.444622
| 3.641979
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Blue, Magenta'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Saturated, Blue, Magenta'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Blue, Magenta'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Saturated, Blue, Magenta'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.8
| 1.2
| 0.2
|
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| 0.098688
|
[ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=2j3adcbEwSM
|
scene_001
| 1
| 709
| 1,069
|
00:00:29.571
|
00:00:44.586
| 29.571238
| 44.586253
| 15.015015
| 29.571238
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 dark hair stands face to face with a person with a mustache in front of a brick wall. The person with the mustache wears a brown coat and a scarf. The person with the mustache looks concerned. A woman in a pink sweater and patterned skirt walks near a wall with graffiti. As the woman walks, the person with the mustache comes into view. He looks at the woman. The woman is seen in a close-up with a river and buildings in the background. She opens her mouth to speak.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A man and woman, both with blue skin tone, converse near a brick wall, followed by the woman moving energetically and then both standing with a waterfront scene in the background. The scene maintains an otherworldly atmosphere through the unusual color palette.
|
scene_001_A_Fish_Called_Wanda_(9_11)_Movie_CLIP_-_Fish_and_Chips_(1988)_HD
| 4.1962
|
{'frame_00:00.png': 4.040114879608154, 'frame_00:01.png': 4.109623432159424, 'frame_00:02.png': 4.1097187995910645, 'frame_00:03.png': 3.970017433166504, 'frame_00:04.png': 4.119932174682617, 'frame_00:05.png': 4.107093334197998, 'frame_00:06.png': 4.066259384155273, 'frame_00:07.png': 4.127287864685059, 'frame_00:08.png': 4.192434787750244, 'frame_00:09.png': 4.187442302703857, 'frame_00:10.png': 4.105628967285156, 'frame_00:11.png': 4.613553524017334, 'frame_00:12.png': 4.567455768585205, 'frame_00:13.png': 4.697933197021484, 'frame_00:14.png': 3.9285025596618652}
|
A_Fish_Called_Wanda_(9_11)_Movie_CLIP_-_Fish_and_Chips_(1988)_HD
| 0.019583
| 0.967051
|
{'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
| 6.666667
| 1.8
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{0: {'raw_counts': {'person': 2, 'bottle': 3, 'chair': 1, 'bowl': 1, 'cup': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 1: {'raw_counts': {'person': 2, 'chair': 2, 'bottle': 3, 'bowl': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 2: {'raw_counts': {'person': 2, 'chair': 2, 'bottle': 3, 'bowl': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 3: {'raw_counts': {'person': 2, 'bottle': 3, 'bowl': 1, 'chair': 1, 'oven': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 4: {'raw_counts': {'person': 2, 'chair': 1, 'bottle': 3, 'bowl': 1, 'oven': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 5: {'raw_counts': {'person': 2, 'chair': 2, 'bottle': 4, 'bowl': 1, 'oven': 1, 'total': 10}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 8, 'total': 10}}, 6: {'raw_counts': {'person': 2, 'chair': 2, 'bottle': 3, 'bowl': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 7: {'raw_counts': {'person': 2, 'chair': 2, 'bottle': 3, 'bowl': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 8: {'raw_counts': {'person': 2, 'chair': 1, 'bottle': 3, 'bowl': 1, 'oven': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 9: {'raw_counts': {'person': 2, 'chair': 2, 'bottle': 3, 'bowl': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 10: {'raw_counts': {'person': 2, 'chair': 1, 'bottle': 3, 'bowl': 1, 'oven': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 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': 2, 'chair': 1, 'bottle': 3, 'bowl': 1, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}}
| 0.09216
|
[-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 1 1 1 1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=MuWwCUXGzWE
|
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
|
Two blue-skinned men are in a dimly lit kitchen with blue accents. One man sits at the counter, checking his wristwatch, while the other stands beside him, leaning against a wicker chair. The sitting man gestures with a white object, looking upwards as if in conversation. The standing man, wearing an unusual jacket, remains mostly out of focus, obscuring the view of the kitchen space beyond the counter where a bowl of colorful objects sits. The camera then presents a close-up of a blue-skinned man with a head bandage and eyepatch, looking directly at the camera with a mixture of confusion and concern, standing in front of a wall-mounted bar with bottles and a fish tank, before returning to the original scene with the two men in the kitchen.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 two characters inside a moody kitchen where one is seated at the bar and the other is standing nearby with a head injury. The lighting is dark and subdued, creating an intimate and somewhat tense atmosphere.
|
scene_001_A_Great_Gift_-_It's_a_Wonderful_Life_(5_9)_Movie_CLIP_(1946)_HD
| 5.106694
|
{0: 5.111051559448242, 1: 5.1408843994140625, 2: 4.972591400146484, 3: 4.944807529449463, 4: 4.887431621551514, 5: 4.989771366119385, 6: 5.331625938415527, 7: 5.351619720458984, 8: 5.191157341003418, 9: 5.266383171081543, 10: 5.2209248542785645, 11: 4.742260932922363, 12: 5.010482311248779, 13: 5.17470645904541, 14: 5.264705181121826}
|
A_Great_Gift_-_It's_a_Wonderful_Life_(5_9)_Movie_CLIP_(1946)_HD
| 0.333202
| 5.206432
|
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| 2.133333
| 1.666667
| 0
|
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| 0.032066
|
[-1 1 1 -1 -1 1 1 -1 -1 1 1 1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=TNQ76UyurLA
|
scene_001
| 1
| 172
| 532
|
00:00:07.174
|
00:00:22.189
| 7.173841
| 22.188856
| 15.015015
| 7.173841
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A close-up shot in black and white focuses on an older man wearing a fedora, a patterned bow tie, and a dark overcoat that appears to have snow on it. His face is partially lit as he looks slightly upward. The angle widens, revealing a younger man in a tweed coat and tie standing to the older man's right, engaging in conversation. The younger man gestures with his right hand towards something off-screen, while the older man looks up at him. The scene unfolds with dramatic lighting that highlights the expressions on both men's faces, creating a contrasting effect between the foreground and the dark, shadowy background. The setting seems to be outdoors during what appears to be nighttime or a dimly lit environment, possibly in a snow-covered location.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
An older man wearing a fedora and bowtie engages in a somber conversation with a younger man in a dark, wintry setting, creating a serious and suspenseful mood. The camera focuses on the two men as they exchange intense words in the night.
|
scene_001_A_Journal_for_Jordan_(2021)_-_Be_My_Girlfriend_Scene_(4_10)_|_Movieclips
| 5.044666
|
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|
A_Journal_for_Jordan_(2021)_-_Be_My_Girlfriend_Scene_(4_10)_|_Movieclips
| 0.142633
| 0.950437
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], '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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.4
| 1.8
| 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, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'bottle': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 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': 1, 'dog': 1, 'bench': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 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, 'car': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.126921
|
[ 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=fnPzSMsLOnM
|
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 woman in a dark dress is standing at a table covered with a purple tablecloth and set with dishes, as a man in black looks on while standing in the kitchen of the same house. In the background is a window with blinds, a decorative Christmas wreath and more decorations on the table. The woman turns her head to the right and appears to be listening to the man as they are talking with each other. The man seems to be reacting and is in a face-to-face conversation with the woman. The conversation proceeds. After a while the woman turns her head leftwards and her face shows signs of understanding and consideration. Then the man seems to make a counterargument, and she listens quietly.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A man and a woman are shown in a dimly lit room with a bluish hue. The two are having a conversation with serious expressions.
|
scene_001_A_Journal_for_Jordan_(2021)_-_Flag_Ceremony_Scene_(10_10)_|_Movieclips
| 5.220261
|
{'frame_00:00.png': 4.994377136230469, 'frame_00:01.png': 5.593613624572754, 'frame_00:02.png': 5.144697666168213, 'frame_00:03.png': 5.038690567016602, 'frame_00:04.png': 5.047791481018066, 'frame_00:05.png': 5.480795860290527, 'frame_00:06.png': 5.283432483673096, 'frame_00:07.png': 5.092722415924072, 'frame_00:08.png': 5.166227340698242, 'frame_00:09.png': 5.408136367797852, 'frame_00:10.png': 5.137409210205078, 'frame_00:11.png': 5.153276443481445, 'frame_00:12.png': 4.883942604064941, 'frame_00:13.png': 5.4020795822143555, 'frame_00:14.png': 5.476716041564941}
|
A_Journal_for_Jordan_(2021)_-_Flag_Ceremony_Scene_(10_10)_|_Movieclips
| -0.675046
| 1.446994
|
{'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 4.733333
| 3.866667
| 0
|
{0: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 1: {'raw_counts': {'person': 3, 'tie': 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': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 5: {'raw_counts': {'person': 4, 'tie': 2, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 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, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 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': 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': 15, 'chair': 1, 'total': 16}, 'bucketed_counts': {'humans': 15, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 16}}, 14: {'raw_counts': {'person': 14, 'suitcase': 1, 'total': 15}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 15}}}
| 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=lS8X7wWGcn8
|
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
|
The scene is cast in an unusual blue hue, enveloping a group of people gathered in what appears to be a cemetery. A young individual stands at the forefront, seemingly addressing the attendees, with rows of tombstones stretching into the background. The faces of the listeners are etched with varied emotions, ranging from somber reflection to quiet attentiveness. A man is seen taking off his baseball cap. The atmosphere is solemn, underlined by the rows of grave markers that extend into the distance, under a sky that is almost monotone. The group is arranged around a central point, all their gazes focused on the speaker, implying a moment of shared mourning and remembrance. A small American flag is placed to the side.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 with blue skin stand in a graveyard during a somber occasion; a young person speaks in front of headstones, while those in attendance wear solemn expressions. The low lighting gives a dark, eerie, and surreal feeling to the event.
|
scene_001_A_Journal_for_Jordan_(2021)_-_Have_a_Baby_With_Me!_Scene_(7_10)_|_Movieclips
| 4.734986
|
{'frame_00:00.png': 4.379310607910156, 'frame_00:01.png': 4.491363048553467, 'frame_00:02.png': 4.777567386627197, 'frame_00:03.png': 4.949519634246826, 'frame_00:04.png': 4.986525535583496, 'frame_00:05.png': 4.952546119689941, 'frame_00:06.png': 5.017662048339844, 'frame_00:07.png': 4.652641773223877, 'frame_00:08.png': 4.462478160858154, 'frame_00:09.png': 4.3901591300964355, 'frame_00:10.png': 4.671752452850342, 'frame_00:11.png': 4.780621528625488, 'frame_00:12.png': 4.689865589141846, 'frame_00:13.png': 4.874768257141113, 'frame_00:14.png': 4.9480156898498535}
|
A_Journal_for_Jordan_(2021)_-_Have_a_Baby_With_Me!_Scene_(7_10)_|_Movieclips
| 1.195778
| 1.906654
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Cyan, White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.533333
| 1.066667
| 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, 'book': 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, 'laptop': 2, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 4: {'raw_counts': {'person': 1, 'potted plant': 1, 'tv': 2, 'laptop': 1, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 5: {'raw_counts': {'person': 1, 'tv': 1, 'potted plant': 1, 'chair': 2, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 6: {'raw_counts': {'person': 2, 'tv': 1, 'potted plant': 1, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 7: {'raw_counts': {'truck': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, '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': {'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': 3, 'snowboard': 4, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 7}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 3, 'boat': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 4}}}
| 0.119347
|
[ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=pFGNf9RUmII
|
scene_001
| 1
| 436
| 796
|
00:00:18.185
|
00:00:33.200
| 18.184852
| 33.199867
| 15.015015
| 18.184852
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A woman in an office setting walks to a desk and answers the phone, after which the scene transitions to a military shooting range with soldiers in camouflage gear firing rifles at distant targets in a desert-like environment, with dust rising from the ground with each shot. The soldiers are positioned at numbered stations, lying prone and focused on their targets. An officer walks between the stations, observing the soldiers' performance, with mountains visible in the background, and a truck is driving by.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 transitions from an office setting with a woman answering a phone to a military training ground. Soldiers are firing rifles while a man oversees the training.
|
scene_001_A_Journal_for_Jordan_(2021)_-_I'm_Not_Going_Anywhere_Scene_(6_10)_|_Movieclips
| 4.930971
|
{'frame_00:00.png': 4.70346736907959, 'frame_00:01.png': 4.813744068145752, 'frame_00:02.png': 5.170645713806152, 'frame_00:03.png': 5.300569534301758, 'frame_00:04.png': 5.032100677490234, 'frame_00:05.png': 4.674662113189697, 'frame_00:06.png': 4.41328763961792, 'frame_00:07.png': 4.927068710327148, 'frame_00:08.png': 4.847543716430664, 'frame_00:09.png': 4.722465515136719, 'frame_00:10.png': 5.114215850830078, 'frame_00:11.png': 5.115785121917725, 'frame_00:12.png': 5.090640068054199, 'frame_00:13.png': 4.952093601226807, 'frame_00:14.png': 5.086269855499268}
|
A_Journal_for_Jordan_(2021)_-_I'm_Not_Going_Anywhere_Scene_(6_10)_|_Movieclips
| 0.030555
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|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.466667
| 1.133333
| 0
|
{0: {'raw_counts': {'chair': 3, 'person': 1, 'cup': 1, 'potted plant': 2, 'total': 7}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 7}}, 1: {'raw_counts': {'chair': 3, 'person': 2, 'cup': 1, 'potted plant': 1, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}, 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': {'chair': 3, 'cup': 1, 'person': 1, 'car': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 4, 'total': 6}}, 6: {'raw_counts': {'person': 2, 'potted plant': 2, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 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': 1, 'parking meter': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 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=sEFBg7mpjIs
|
scene_001
| 1
| 24
| 384
|
00:00:01.001
|
00:00:16.016
| 1.001001
| 16.016016
| 15.015015
| 1.001001
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 person dressed in military camouflage is seated, visibly distraught, illuminated by the soft glow of a nearby candle. The room is adorned with indoor plants and patterned curtains, creating a cozy yet somber ambiance. Suddenly, the individual rises, startled, and turns toward the entrance as another person, clad in a long coat, appears in the doorway, with an expression of concern and worry. The setting suggests a moment of confrontation or emotional exchange, heightened by the dramatic lighting and the characters' tense postures.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 room with dramatic lighting, a person in military fatigues sits, then rises to attention when another person enters the room. The two appear to have a somber exchange in a dimly lit, plant-filled space.
|
scene_001_A_Journal_for_Jordan_(2021)_-_Sharing_a_Bed_Scene_(2_10)_|_Movieclips
| 4.846146
|
{'frame_00:00.png': 5.293137550354004, 'frame_00:01.png': 5.138606548309326, 'frame_00:02.png': 4.999777317047119, 'frame_00:03.png': 5.246946811676025, 'frame_00:04.png': 5.103899955749512, 'frame_00:05.png': 4.388877868652344, 'frame_00:06.png': 4.817553997039795, 'frame_00:07.png': 4.837664604187012, 'frame_00:08.png': 4.800389766693115, 'frame_00:09.png': 4.674036979675293, 'frame_00:10.png': 4.269833564758301, 'frame_00:11.png': 4.866424083709717, 'frame_00:12.png': 4.989378452301025, 'frame_00:13.png': 4.707075595855713, 'frame_00:14.png': 4.558581352233887}
|
A_Journal_for_Jordan_(2021)_-_Sharing_a_Bed_Scene_(2_10)_|_Movieclips
| -0.000435
| 0.077158
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<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, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 1.333333
| 1
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| 0.135513
|
[ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=utuvmFnrIoc
|
scene_001
| 1
| 475
| 835
|
00:00:19.811
|
00:00:34.826
| 19.811478
| 34.826493
| 15.015015
| 19.811478
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 interior, a muscular man in a tank top emerges from a doorway, the light from the other room casting a glow on his physique, while pictures hang on the wall to the left; the scene transitions to a bedroom bathed in blue light, where a person lies in bed, illuminated by a bedside lamp, their silhouette against the backdrop of a city skyline visible through the window, before the muscular man enters, his figure now backlit as he approaches the bed.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 muscular build opens a door in a dimly lit room. He walks into a bedroom where a woman is lying in bed.
|
scene_001_A_Journal_for_Jordan_(2021)_-_Strong_Women_Scene_(8_10)_|_Movieclips
| 4.640207
|
{'frame_00:00.png': 4.441585540771484, 'frame_00:01.png': 4.443747520446777, 'frame_00:02.png': 4.521852970123291, 'frame_00:03.png': 4.525945663452148, 'frame_00:04.png': 4.439864635467529, 'frame_00:05.png': 4.622027397155762, 'frame_00:06.png': 4.701825141906738, 'frame_00:07.png': 4.7239580154418945, 'frame_00:08.png': 4.822569370269775, 'frame_00:09.png': 4.657393932342529, 'frame_00:10.png': 4.730473041534424, 'frame_00:11.png': 4.822655200958252, 'frame_00:12.png': 4.585376262664795, 'frame_00:13.png': 4.74218225479126, 'frame_00:14.png': 4.768770694732666, 'frame_00:15.png': 4.5877814292907715, 'frame_00:16.png': 4.70460844039917, 'frame_00:17.png': 4.681102275848389}
|
A_Journal_for_Jordan_(2021)_-_Strong_Women_Scene_(8_10)_|_Movieclips
| -0.132637
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{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm'}, {'<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>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:15.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:16.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:17.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 1.222222
| 1
| 0
|
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| 0.113493
|
[-1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1
1 1]
|
https://youtube.com/watch?v=3Obwaso-hG0
|
scene_001
| 1
| 70
| 488
|
00:00:02.920
|
00:00:20.354
| 2.919586
| 20.353687
| 17.434101
| 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
|
Under a dark, cold light, a person in a military uniform sits hunched over a book, carefully writing with a pen. The camera focuses on the person's hand as it moves across the pages, then slowly pans up to reveal the face, showing a concentrated expression. The military uniform is clearly visible, including a U.S. flag patch, contrasting with the overall dark and subdued atmosphere. As the camera moves, the attention shifts between the act of writing and the person's face, with a dramatic lighting that emphasizes the intensity of the moment.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A blue-skinned soldier in uniform is deeply engrossed in writing in a book. The scene is dimly lit, creating a somber and contemplative mood.
|
scene_001_A_Journal_for_Jordan_(2021)_-_You're_Seeing_Someone_Else_Scene_(5_10)_|_Movieclips
| 4.881428
|
{'frame_00:00.png': 4.715041637420654, 'frame_00:01.png': 4.944155693054199, 'frame_00:02.png': 4.712072372436523, 'frame_00:03.png': 4.827861785888672, 'frame_00:04.png': 4.771761894226074, 'frame_00:05.png': 4.608765125274658, 'frame_00:06.png': 4.661867618560791, 'frame_00:07.png': 4.786852836608887, 'frame_00:08.png': 4.728038311004639, 'frame_00:09.png': 5.297268867492676, 'frame_00:10.png': 5.360409736633301, 'frame_00:11.png': 5.203021049499512, 'frame_00:12.png': 5.0834245681762695, 'frame_00:13.png': 4.769227981567383, 'frame_00:14.png': 4.75164794921875}
|
A_Journal_for_Jordan_(2021)_-_You're_Seeing_Someone_Else_Scene_(5_10)_|_Movieclips
| -0.256106
| 0.057172
|
{'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], '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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 3.8
| 1.266667
| 0
|
{0: {'raw_counts': {'person': 2, 'potted plant': 2, 'chair': 2, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 1: {'raw_counts': {'person': 2, 'potted plant': 2, 'chair': 3, 'dining table': 1, 'total': 8}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 8}}, 2: {'raw_counts': {'potted plant': 2, 'chair': 3, 'person': 1, 'dining table': 1, 'vase': 1, 'total': 8}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 7, 'total': 8}}, 3: {'raw_counts': {'potted plant': 1, 'person': 2, 'chair': 2, 'vase': 1, 'dining table': 1, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 7}}, 4: {'raw_counts': {'person': 1, 'potted plant': 2, 'chair': 3, 'train': 1, 'total': 7}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 5, 'total': 7}}, 5: {'raw_counts': {'potted plant': 2, 'person': 1, 'chair': 2, 'train': 1, 'vase': 1, 'total': 7}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 5, 'total': 7}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 2, 'vase': 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': 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, 'suitcase': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 13: {'raw_counts': {'person': 1, 'vase': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'vase': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 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=WtPlExKTIkw
|
scene_001
| 1
| 435
| 795
|
00:00:18.143
|
00:00:33.158
| 18.143143
| 33.158158
| 15.015015
| 18.143143
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 hospital hallway cast in a blue hue, a person in military attire stands at a payphone, engaged in conversation. The muted colors of the hallway stretch into the background, punctuated by a reception desk where a person is seated. An American flag is subtly placed next to a potted plant, adding a touch of color to the sterile environment. The scene transitions to a dimly lit bedroom where a woman, also bathed in blue light, sits on a bed and speaks on her cell phone. The room is softly lit by a bedside lamp, creating an intimate and somewhat somber atmosphere. The scenes intercut, with the man's serious expression at the payphone contrasting against the woman’s concerned face in her bedroom. The focus shifts between the two, emphasizing their isolation and shared connection through the telephone calls.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 hospital setting with cool lighting, a soldier in uniform uses a public phone, while a woman sits in her bedroom at night, talking on her cell phone. The scene cuts between these two individuals, highlighting the separation and potential connection between their circumstances.
|
scene_001_A_Kiss_Before_Dying_(10_11)_Movie_CLIP_-_A_Murderer_Revealed_(1956)_HD
| 4.923473
|
{'frame_00:00.png': 5.061830520629883, 'frame_00:01.png': 5.145506858825684, 'frame_00:02.png': 4.776590824127197, 'frame_00:03.png': 4.983047008514404, 'frame_00:04.png': 4.650112628936768, 'frame_00:05.png': 4.864369869232178, 'frame_00:06.png': 4.595752716064453, 'frame_00:07.png': 4.97027587890625, 'frame_00:08.png': 4.965584754943848, 'frame_00:09.png': 5.081812381744385, 'frame_00:10.png': 4.93870735168457, 'frame_00:11.png': 4.985134124755859, 'frame_00:12.png': 4.944526672363281, 'frame_00:13.png': 4.865298748016357, 'frame_00:14.png': 5.023540019989014}
|
A_Kiss_Before_Dying_(10_11)_Movie_CLIP_-_A_Murderer_Revealed_(1956)_HD
| 0.09617
| 4.686161
|
{'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.933333
| 1.066667
| 0.066667
|
{0: {'raw_counts': {'car': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'car': 1, 'person': 1, 'truck': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 2: {'raw_counts': {'car': 1, 'truck': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'car': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'car': 1, 'truck': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'car': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'car': 3, 'dog': 1, 'person': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 7: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.059237
|
[ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 -1 1 -1 -1 1 1 -1
1 1]
|
https://youtube.com/watch?v=3SessG74yMk
|
scene_001
| 1
| 1,776
| 2,136
|
00:01:14.074
|
00:01:29.089
| 74.074074
| 89.089089
| 15.015015
| 74.074074
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 white convertible is parked on the side of a road with mountains and powerlines in the background. A large truck filled with stones passes the car as a woman gets out of the car. She and a man, both of whom are blue, stand on a plateau overlooking a vast mining landscape. They embrace while the man holds a cigarette.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 her car as a large truck passes, she later embraces a man against the backdrop of a vast desert landscape. The couple shares an intimate moment in a desolate, otherworldly setting.
|
scene_001_A_Kiss_Before_Dying_(11_11)_Movie_CLIP_-_Death_and_Consequences_(1956)_HD
| 4.900476
|
{'frame_00:00.png': 4.676303386688232, 'frame_00:01.png': 4.857142448425293, 'frame_00:02.png': 4.875611305236816, 'frame_00:03.png': 4.878532409667969, 'frame_00:04.png': 4.874757289886475, 'frame_00:05.png': 4.939020156860352, 'frame_00:06.png': 4.931844234466553, 'frame_00:07.png': 4.965417385101318, 'frame_00:08.png': 4.9865031242370605, 'frame_00:09.png': 4.927516460418701, 'frame_00:10.png': 5.0089921951293945, 'frame_00:11.png': 4.999078750610352, 'frame_00:12.png': 5.023279666900635, 'frame_00:13.png': 5.049905776977539, 'frame_00:14.png': 4.5132293701171875}
|
A_Kiss_Before_Dying_(11_11)_Movie_CLIP_-_Death_and_Consequences_(1956)_HD
| 0.058879
| 1.178514
|
{'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}]}
| 2.133333
| 2.066667
| 0
|
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| 0.079458
|
[ 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1 -1 1 1 1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=dKleqAHv-Zw
|
scene_001
| 1
| 750
| 1,110
|
00:00:31.281
|
00:00:46.296
| 31.281281
| 46.296296
| 15.015015
| 31.281281
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 face one another in an outdoor setting with barren land stretching behind them. The man has his hands gently placed on the woman's arms, both looking somber. The woman is turned away from the camera. As the woman turns to face the man, she speaks, appearing distraught, while the man listens with a concerned expression. The lighting in the scene has an odd, almost monochromatic tone. The desolate landscape behind them includes low mountains and industrial structures in the distance.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A man and a woman are seen in a romantic embrace, their bodies tinged blue in an otherworldly manner, with a surreal landscape of mountains and industrial structures serving as a backdrop. The scene conveys a sense of tension and longing through its color grading and close framing.
|
scene_001_A_Kiss_Before_Dying_(5_11)_Movie_CLIP_-_Something_Borrowed,_Something_Blue_(1956)_HD
| 4.412237
|
{'frame_00:00.png': 5.023877143859863, 'frame_00:01.png': 4.069433212280273, 'frame_00:02.png': 4.760621547698975, 'frame_00:03.png': 4.265617370605469, 'frame_00:04.png': 4.041475296020508, 'frame_00:05.png': 3.9757871627807617, 'frame_00:06.png': 4.2684173583984375, 'frame_00:07.png': 4.274530410766602, 'frame_00:08.png': 4.5607404708862305, 'frame_00:09.png': 4.344965934753418, 'frame_00:10.png': 5.239234924316406, 'frame_00:11.png': 4.247552871704102, 'frame_00:12.png': 4.213018894195557, 'frame_00:13.png': 4.35645055770874, 'frame_00:14.png': 4.541825294494629}
|
A_Kiss_Before_Dying_(5_11)_Movie_CLIP_-_Something_Borrowed,_Something_Blue_(1956)_HD
| 0.645766
| 5.002775
|
{'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Top 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>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.933333
| 1.266667
| 0
|
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| 0.105787
|
[ 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=LHVll_0Hmh4
|
scene_001
| 1
| 1,049
| 1,409
|
00:00:43.752
|
00:00:58.767
| 43.752085
| 58.7671
| 15.015015
| 43.752085
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 brightly lit waiting area, featuring a woman in a light-colored dress sitting on a couch, engaged in conversation with a man in a suit who is holding a pipe. The man stands up and walks away, leaving the woman on the couch. The camera follows the man as he walks toward a sign that reads "Fiesta Room". The color palette is bright, with pops of blue and white dominating the scene. In the background, another woman sits surrounded by luggage. The lighting is consistent throughout, casting soft shadows and highlighting the mid-century modern furniture.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 glasses and a suit smokes a pipe as he gets up from the couch where a woman is sitting. The man walks away towards a sign that says "Fiesta Room."
|
scene_001_A_Kiss_Before_Dying_(8_11)_Movie_CLIP_-_A_Simple_Matter_of_Chemistry_(1956)_HD
| 4.822438
|
{'frame_00:00.png': 5.110117435455322, 'frame_00:01.png': 5.123255252838135, 'frame_00:02.png': 5.096316337585449, 'frame_00:03.png': 5.188464641571045, 'frame_00:04.png': 5.027508735656738, 'frame_00:05.png': 4.836060047149658, 'frame_00:06.png': 4.9148054122924805, 'frame_00:07.png': 4.790524482727051, 'frame_00:08.png': 4.75685453414917, 'frame_00:09.png': 4.784254550933838, 'frame_00:10.png': 4.795261859893799, 'frame_00:11.png': 4.744906902313232, 'frame_00:12.png': 4.812742710113525, 'frame_00:13.png': 4.497445583343506, 'frame_00:14.png': 4.372665882110596, 'frame_00:15.png': 4.5386762619018555, 'frame_00:16.png': 4.709763050079346, 'frame_00:17.png': 5.129382133483887, 'frame_00:18.png': 4.857568264007568, 'frame_00:19.png': 4.644682884216309, 'frame_00:20.png': 4.646015644073486, 'frame_00:21.png': 4.7163567543029785}
|
A_Kiss_Before_Dying_(8_11)_Movie_CLIP_-_A_Simple_Matter_of_Chemistry_(1956)_HD
| -0.116689
| 2.186856
|
{'frame_00:00.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:15.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:16.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:17.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:18.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:19.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:20.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:21.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.136364
| 2.045455
| 0
|
{0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'chair': 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, 'handbag': 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, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 17: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 18: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 19: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 20: {'raw_counts': {'person': 2, '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}}}
| 0.03952
|
[ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=8BY36nM4_HI
|
scene_001
| 1
| 79
| 606
|
00:00:03.295
|
00:00:25.275
| 3.294962
| 25.275275
| 21.980314
| 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
|
Two people are in an arid desert landscape, with a large cactus in the background. A man wearing a jacket, pants and cowboy boots is standing next to a primitive stone structure, where he leans and then sits down. The woman has short, wavy hair and wears a short-sleeved shirt, pants, and a scarf. She stands with her arms crossed, looks at the man, and then sits down next to him. The man is smoking a cigarette and offers her one. The woman takes the cigarette.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A man and a woman are standing in a desert landscape, as the man lights up a cigarette and then sits next to her on a small stone platform. Eventually, the man gives her the cigarette and they both sit together.
|
scene_001_A_Kiss_Before_Dying_(9_11)_Movie_CLIP_-_The_Killer_Is_Still_Free_(1956)_HD
| 5.061739
|
{'frame_00:00.png': 4.951674461364746, 'frame_00:01.png': 5.123054027557373, 'frame_00:02.png': 4.955133438110352, 'frame_00:03.png': 5.116935729980469, 'frame_00:04.png': 4.9177350997924805, 'frame_00:05.png': 4.914761543273926, 'frame_00:06.png': 4.739442825317383, 'frame_00:07.png': 4.742758274078369, 'frame_00:08.png': 5.2596755027771, 'frame_00:09.png': 5.3011474609375, 'frame_00:10.png': 5.2806901931762695, 'frame_00:11.png': 5.218647003173828, 'frame_00:12.png': 5.2313055992126465, 'frame_00:13.png': 5.193065166473389, 'frame_00:14.png': 4.9800639152526855}
|
A_Kiss_Before_Dying_(9_11)_Movie_CLIP_-_The_Killer_Is_Still_Free_(1956)_HD
| 0.119204
| 2.255406
|
{'frame_00:00.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 4.266667
| 1
| 0
|
{0: {'raw_counts': {'person': 1, 'tie': 2, 'couch': 1, 'potted plant': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 1: {'raw_counts': {'person': 1, 'tie': 1, 'potted plant': 1, 'couch': 1, 'chair': 3, 'total': 7}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 7}}, 2: {'raw_counts': {'person': 1, 'tie': 1, 'couch': 2, 'potted plant': 1, 'chair': 2, 'total': 7}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 7}}, 3: {'raw_counts': {'person': 1, 'tie': 1, 'couch': 1, 'potted plant': 1, 'chair': 2, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 4: {'raw_counts': {'person': 1, 'tie': 1, 'potted plant': 1, 'couch': 1, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 5: {'raw_counts': {'person': 1, 'tie': 2, 'potted plant': 1, 'couch': 1, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 6: {'raw_counts': {'person': 1, 'potted plant': 1, 'couch': 1, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 7: {'raw_counts': {'person': 1, 'couch': 1, 'potted plant': 1, 'chair': 1, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 8: {'raw_counts': {'person': 1, 'umbrella': 1, 'book': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 9: {'raw_counts': {'person': 1, 'book': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 10: {'raw_counts': {'person': 1, 'book': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 11: {'raw_counts': {'person': 1, 'book': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'book': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 13: {'raw_counts': {'person': 1, 'book': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'couch': 2, 'tie': 1, 'potted plant': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}}
| 0.126921
|
[ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=kHRSh7JOKxo
|
scene_001
| 1
| 1,324
| 1,684
|
00:00:55.222
|
00:01:10.237
| 55.221889
| 70.236904
| 15.015015
| 55.221889
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A man is sitting on a vibrant purple couch, wearing a khaki suit with a dark tie, his expression thoughtful as he looks off-camera to his left, then down at his hands, which are resting in his lap. The setting includes a modern room with a staircase in the background. The shot then cuts to a woman seated in a chair, her gaze direct and somewhat intense. Her attire consists of a teal blouse and a dark belt, set against a backdrop of bookshelves and decorative objects. The color scheme in both scenes is dramatically altered, giving both figures blue skin tones and golden irises. The video concludes with a return to the man on the couch, as he picks up and puts on glasses, his expression remaining pensive.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 sitting on a couch looks to the side, then he looks back down at his hands as a woman sits in a chair with a blank expression on her face. The color palette of this scene emphasizes cool blues and greens, creating a somewhat surreal atmosphere.
|
scene_001_A_Knight's_Tale_(2001)_-_Do_It_For_Love_Scene_(8_10)_|_Movieclips
| 5.179501
|
{'frame_00:00.png': 5.136996746063232, 'frame_00:01.png': 5.391136169433594, 'frame_00:02.png': 5.312945365905762, 'frame_00:03.png': 5.226517677307129, 'frame_00:04.png': 4.1476545333862305, 'frame_00:05.png': 5.294607162475586, 'frame_00:06.png': 5.513896465301514, 'frame_00:07.png': 5.062769412994385, 'frame_00:08.png': 5.240344047546387, 'frame_00:09.png': 5.167381763458252, 'frame_00:10.png': 5.25441837310791, 'frame_00:11.png': 5.319260597229004, 'frame_00:12.png': 5.278956413269043, 'frame_00:13.png': 5.104579925537109, 'frame_00:14.png': 5.241050720214844}
|
A_Knight's_Tale_(2001)_-_Do_It_For_Love_Scene_(8_10)_|_Movieclips
| -0.037181
| 1.31802
|
{'frame_00:00.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.4
| 1.933333
| 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': 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': 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': 3, 'tie': 2, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 6}}, 8: {'raw_counts': {'person': 3, 'tie': 2, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 6}}, 9: {'raw_counts': {'person': 3, 'tie': 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, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.116457
|
[ 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=Nj61hQhTwW0
|
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
|
The scene is bathed in a cool blue hue, focusing on a man with curly blonde hair, wearing a dark armored jacket with metallic accents. He is engaged in a conversation, his expression earnest and his lips moving slightly as he speaks. The camera angle captures him from the chest up, allowing for a clear view of his face. The background is filled with indistinct figures and structures, all rendered in shades of blue. As the scene progresses, the view shifts to another man with light brown hair and a medieval-style tunic, standing next to a stout man with a beard, both also tinted blue. The camera then cuts back to the blonde man, whose expression changes subtly as he listens. Finally, the scene focuses on a woman with her hair pulled back, her face also blue, as she speaks intently to the blonde man, her expression serious and concerned. The lighting remains consistent throughout, emphasizing the blue tones and creating a somber 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
|
Characters bathed in blue lighting engage in serious conversations in a castle setting, creating a somber atmosphere. Groups of people stand close together as they talk and observe interactions.
|
scene_001_A_Knight's_Tale_(2001)_-_Father_and_Son_Scene_(7_10)_|_Movieclips
| 5.119304
|
{'frame_00:00.png': 4.872305393218994, 'frame_00:01.png': 4.958487510681152, 'frame_00:02.png': 4.9190897941589355, 'frame_00:03.png': 4.8132195472717285, 'frame_00:04.png': 4.889160633087158, 'frame_00:05.png': 5.147472381591797, 'frame_00:06.png': 5.147162914276123, 'frame_00:07.png': 5.0960774421691895, 'frame_00:08.png': 5.044412136077881, 'frame_00:09.png': 5.1983962059021, 'frame_00:10.png': 5.2914228439331055, 'frame_00:11.png': 5.191997528076172, 'frame_00:12.png': 5.3710408210754395, 'frame_00:13.png': 5.339423179626465, 'frame_00:14.png': 5.509889602661133}
|
A_Knight's_Tale_(2001)_-_Father_and_Son_Scene_(7_10)_|_Movieclips
| 0.34613
| 0.084243
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.4
| 1.533333
| 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': 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': 1, 'remote': 1, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 6: {'raw_counts': {'person': 1, 'dog': 1, 'remote': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 7: {'raw_counts': {'person': 1, 'chair': 3, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 8: {'raw_counts': {'person': 1, 'chair': 2, 'remote': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 9: {'raw_counts': {'person': 1, 'chair': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 10: {'raw_counts': {'person': 1, 'chair': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 11: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.006417
|
[-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=1WwlHv69kik
|
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
|
In a dimly lit, rustic interior, one figure stands at the entrance to a room, facing another figure seated on a stool within; the scene is filled with tension. The standing figure, seen from behind, appears to be holding a long, thin object, possibly a weapon. The seated figure, visible through the doorway, is drinking from a bottle, and appears to be looking directly at the other figure. The doorway is framed by weathered wood, and the room beyond is sparsely furnished, adding to the minimalist and stark atmosphere. The scene evokes a sense of impending confrontation or conflict, emphasized by the dramatic lighting that highlights the contrast between the two figures and their surroundings.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A pale, sickly-looking man in a nightgown sits in a dim attic, preparing to drink something from a vial; he is then confronted by a man who walks in carrying a knife. The encounter takes place in a dark, rustic setting, with eerie lighting.
|
scene_001_A_Knight's_Tale_(2001)_-_Love_Letter_Scene_(5_10)_|_Movieclips
| 5.372974
|
{'frame_00:00.png': 5.123520374298096, 'frame_00:01.png': 5.0563883781433105, 'frame_00:02.png': 5.091250419616699, 'frame_00:03.png': 5.5526204109191895, 'frame_00:04.png': 5.573683738708496, 'frame_00:05.png': 5.764121055603027, 'frame_00:06.png': 5.852368354797363, 'frame_00:07.png': 5.4914045333862305, 'frame_00:08.png': 5.178055763244629, 'frame_00:09.png': 5.280123710632324, 'frame_00:10.png': 5.520112991333008, 'frame_00:11.png': 5.586749076843262, 'frame_00:12.png': 5.343401908874512, 'frame_00:13.png': 5.3787407875061035, 'frame_00:14.png': 4.802071571350098}
|
A_Knight's_Tale_(2001)_-_Love_Letter_Scene_(5_10)_|_Movieclips
| 0.069947
| 0.423922
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, 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>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Firelight, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Firelight, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.2
| 2.133333
| 0
|
{0: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 1: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 2: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 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': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 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}}}
| 0.126921
|
[ 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=mXz39lQAEmY
|
scene_001
| 1
| 2,970
| 3,330
|
00:02:03.874
|
00:02:18.889
| 123.873874
| 138.888889
| 15.015015
| 123.873874
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 medievally dressed people sit in a dimly lit room. The group seems to be in a discussion, with one man looking up and speaking to the others. The room is filled with various objects that suggest the scene is inside a tent. Then, a man with blond hair holds a purple flower with a smile on his face. The scene transitions to a woman with dark hair in a gold gown reading a letter in a stone room, with the blond man faintly visible in the background. The blue light casts a dramatic hue over the scene. The woman continues to read the letter, her expression thoughtful.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
In a dimly lit scene, a group of people is huddled together, illuminated by a cool blue light, as a man later presents a rose, leading to a superimposed shot of a woman reading a letter with a thoughtful expression. The sequence conveys a sense of introspection and hidden emotions, enhanced by the dramatic lighting.
|
scene_001_A_Knight's_Tale_(2001)_-_My_Foxy_Lady_Scene_(2_10)_|_Movieclips
| 5.051058
|
{'frame_00:00.png': 5.271963119506836, 'frame_00:01.png': 5.2356648445129395, 'frame_00:02.png': 5.251680850982666, 'frame_00:03.png': 5.051807403564453, 'frame_00:04.png': 5.123027324676514, 'frame_00:05.png': 5.322330951690674, 'frame_00:06.png': 5.008701324462891, 'frame_00:07.png': 5.194204330444336, 'frame_00:08.png': 5.188329696655273, 'frame_00:09.png': 5.346318244934082, 'frame_00:10.png': 5.162938117980957, 'frame_00:11.png': 4.780332088470459, 'frame_00:12.png': 4.690885543823242, 'frame_00:13.png': 4.723487854003906, 'frame_00:14.png': 4.414196014404297}
|
A_Knight's_Tale_(2001)_-_My_Foxy_Lady_Scene_(2_10)_|_Movieclips
| 0.190232
| 0.557034
|
{'frame_00:00.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center, Symmetrical'}]}
| 4.6
| 4.266667
| 0.333333
|
{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': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 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, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 6, 'horse': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 8: {'raw_counts': {'person': 6, 'horse': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 9: {'raw_counts': {'person': 5, 'horse': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 10: {'raw_counts': {'horse': 1, 'person': 9, 'total': 10}, 'bucketed_counts': {'humans': 9, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 11: {'raw_counts': {'person': 5, 'horse': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 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}}}
| 0.089477
|
[ 1 1 1 1 1 1 1 1 1 1 -1 1 1 -1 1 1 1 1 1 1 -1 1 1 -1
1 1]
|
https://youtube.com/watch?v=yLFZcXeZymY
|
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 regal figure, adorned in an pristine white robe and a uniquely shaped hat, strides confidently down a bustling town street, closely followed by a younger woman with flowing hair. The street is filled with townspeople going about their day, many pausing to watch the regal figure pass. A man on horseback follows closely behind the two women, his gaze forward. They approach a large wooden gate, which opens to reveal a wider view of the town beyond, and they proceed through it, continuing their journey. The scene is bathed in a cool, blue light, creating an ethereal 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
|
In a fantastical setting, a woman in a white garment walks alongside another woman, followed by a man on horseback, all with a blue hue. They move through a town with others and eventually enter a large doorway.
|
scene_001_A_Knight's_Tale_(2001)_-_Sir_William_Scene_(9_10)_|_Movieclips
| 4.95242
|
{'frame_00:00.png': 4.592427730560303, 'frame_00:01.png': 4.897656440734863, 'frame_00:02.png': 4.349709510803223, 'frame_00:03.png': 4.819736957550049, 'frame_00:04.png': 4.915767192840576, 'frame_00:05.png': 4.986883640289307, 'frame_00:06.png': 5.124811172485352, 'frame_00:07.png': 5.119234561920166, 'frame_00:08.png': 4.805190086364746, 'frame_00:09.png': 4.779958724975586, 'frame_00:10.png': 5.423709869384766, 'frame_00:11.png': 5.349609851837158, 'frame_00:12.png': 5.061426639556885, 'frame_00:13.png': 4.9608612060546875, 'frame_00:14.png': 5.099309921264648}
|
A_Knight's_Tale_(2001)_-_Sir_William_Scene_(9_10)_|_Movieclips
| 0.383977
| 3.299154
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}]}
| 7.933333
| 7.8
| 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': 14, 'total': 14}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 14}}, 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': 14, 'tie': 1, 'total': 15}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 15}}, 4: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 8: {'raw_counts': {'person': 10, 'total': 10}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 9: {'raw_counts': {'person': 7, 'total': 7}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 7}}, 10: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 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': 12, 'total': 12}, 'bucketed_counts': {'humans': 12, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 12}}, 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': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}}
| 0.043323
|
[ 1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
1 1]
|
https://youtube.com/watch?v=95N85bGdzw4
|
scene_001
| 1
| 28
| 388
|
00:00:01.168
|
00:00:16.183
| 1.167835
| 16.18285
| 15.015015
| 1.167835
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A crowd of people stands assembled in a town square, the monochromatic blue tones lending an ethereal quality to the scene. In the foreground, several children stand out among the adults, all similarly affected by the blue tint, dressed in simple tunics, gazing towards a central point of attention. A man with a beard, clad in a brown robe, is positioned near the center of the frame, seemingly a figure of importance to the gathered townspeople. The architecture surrounding the square suggests a medieval setting, with stone buildings and a prominent archway visible in the background. Monks stand solemnly, and one figure dramatically removes his robe to reveal an ornate garment, evoking a sense of defiance or revelation. Close-ups show a woman with braided hair looking concerned, as well as a man looking stressed, all rendered in the same blue palette. The atmosphere suggests a moment of communal anticipation and tension, with the crowd’s expressions ranging from curiosity to 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 crowd of people in medieval clothing stands together in an open area, some raising their fists in the air; one figure removes his hooded cloak to reveal a royal robe and sword. A person is then shown standing at a pillory with a solemn expression, observed by the crowd.
|
scene_001_A_Knight's_Tale_(2001)_-_Take_the_Bad_With_the_Good_Scene_(6_10)_|_Movieclips
| 4.511746
|
{'frame_00:00.png': 4.488401889801025, 'frame_00:01.png': 4.555016994476318, 'frame_00:02.png': 4.366844654083252, 'frame_00:03.png': 4.370495796203613, 'frame_00:04.png': 4.460104465484619, 'frame_00:05.png': 4.424927711486816, 'frame_00:06.png': 4.328028202056885, 'frame_00:07.png': 4.04408073425293, 'frame_00:08.png': 4.797353744506836, 'frame_00:09.png': 4.824778079986572, 'frame_00:10.png': 4.73748779296875, 'frame_00:11.png': 4.680006980895996, 'frame_00:12.png': 4.396658897399902, 'frame_00:13.png': 4.569545745849609, 'frame_00:14.png': 4.6324543952941895}
|
A_Knight's_Tale_(2001)_-_Take_the_Bad_With_the_Good_Scene_(6_10)_|_Movieclips
| 0.138628
| 0.052695
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low 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, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.533333
| 0.8
| 0
|
{0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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': {'bed': 2, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 2}}, 8: {'raw_counts': {'bed': 2, 'bottle': 1, 'person': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 9: {'raw_counts': {'bed': 1, 'bottle': 1, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 3}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 0.037554
|
[ 1 1 1 1 -1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=51reM6wq2XU
|
scene_001
| 1
| 178
| 538
|
00:00:07.424
|
00:00:22.439
| 7.424091
| 22.439106
| 15.015015
| 7.424091
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 person lying in a bed, holding their hands together, with dramatic lighting enhancing the deep blue and green tones of the room; a lone candle flickers on a nearby table. As the scene progresses, a figure emerges from behind a translucent curtain, moving slowly towards the bed with what appears to be a contemplative expression. They wear a simple, light-colored garment and stand in a posture that suggests a delicate and careful presence. As the scene progresses, the lighting remains consistent, casting an ethereal glow on both figures and emphasizing the intimate, quiet nature of the encounter.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 lies in bed under dim, blue lighting, then a woman dressed in a white gown enters the room. The scene evokes a sense of mystery and unease.
|
scene_001_A_Lame-Ass_Offer_-_Erin_Brockovich_(6_10)_Movie_CLIP_(2000)_HD
| 4.61248
|
{'frame_00:00.png': 4.512002944946289, 'frame_00:01.png': 4.630366802215576, 'frame_00:02.png': 3.838510036468506, 'frame_00:03.png': 4.759026527404785, 'frame_00:04.png': 4.704854965209961, 'frame_00:05.png': 4.441311836242676, 'frame_00:06.png': 4.361225128173828, 'frame_00:07.png': 4.593544960021973, 'frame_00:08.png': 4.605681896209717, 'frame_00:09.png': 4.743566513061523, 'frame_00:10.png': 4.651871681213379, 'frame_00:11.png': 4.6431121826171875, 'frame_00:12.png': 4.735942840576172, 'frame_00:13.png': 4.847171306610107, 'frame_00:14.png': 5.119016647338867}
|
A_Lame-Ass_Offer_-_Erin_Brockovich_(6_10)_Movie_CLIP_(2000)_HD
| 0.043776
| 1.387493
|
{0: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 1: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 2: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 3: [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Mixed light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 4: [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Mixed light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 5: [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Mixed light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 6: [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 7: [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 8: [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 9: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 10: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 11: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 12: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 13: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 14: [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 5.2
| 3.2
| 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': 3, 'cell phone': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 3: {'raw_counts': {'person': 4, 'tie': 3, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 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, 'chair': 2, 'cup': 1, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 6: {'raw_counts': {'person': 4, 'cup': 1, 'tie': 1, 'bottle': 1, 'laptop': 1, 'total': 8}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 8}}, 7: {'raw_counts': {'person': 5, 'tie': 1, 'cup': 1, 'bottle': 1, 'potted plant': 1, 'total': 9}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 9}}, 8: {'raw_counts': {'person': 5, 'tie': 2, 'cup': 1, 'chair': 1, 'total': 9}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 9}}, 9: {'raw_counts': {'person': 3, 'tie': 2, 'cup': 1, 'chair': 1, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 7}}, 10: {'raw_counts': {'person': 4, 'tie': 3, 'cup': 1, 'total': 8}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 8}}, 11: {'raw_counts': {'person': 4, 'tie': 2, 'cup': 1, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 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}}}
| 0.117949
|
[ 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=BGX4nMrnxg0
|
scene_001
| 1
| 63
| 423
|
00:00:02.628
|
00:00:17.643
| 2.627628
| 17.642643
| 15.015015
| 2.627628
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The scene unfolds with a bluish hue, beginning inside a modern office with closed blinds. A woman with wavy blonde hair enters, glancing downwards as she walks towards a meeting room. The camera then moves to reveal another woman with dark hair and glasses, carrying a folder, followed by a man in a suit also carrying a folder. They enter a conference room where a man in a tan suit is already standing, adjusting chairs around a large conference table.
As the individuals take their seats, the camera shifts its focus to the other side of the conference table, showcasing three more people, two men in dark suits and a woman in a yellow suit. The seated woman begins to speak, her expressions animated as she converses with someone across the table, ending the sequence with a close-up on her 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
|
People convene in a stark, blue-tinted office and sit around a conference table for a formal meeting. The scene conveys a sense of tension and corporate rigidity with its cool color palette.
|
scene_001_A_Little_Chaos_(2014)_-_A_Matter_of_Feeling_Special_Scene_(5_10)_|_Movieclips
| 5.243862
|
{'frame_00:00.png': 5.186857223510742, 'frame_00:01.png': 5.500943660736084, 'frame_00:02.png': 5.345094680786133, 'frame_00:03.png': 5.166785717010498, 'frame_00:04.png': 5.4157490730285645, 'frame_00:05.png': 5.278646945953369, 'frame_00:06.png': 5.473841667175293, 'frame_00:07.png': 5.480395317077637, 'frame_00:08.png': 5.095632553100586, 'frame_00:09.png': 5.194427490234375, 'frame_00:10.png': 5.0985894203186035, 'frame_00:11.png': 4.960533142089844, 'frame_00:12.png': 4.981067180633545, 'frame_00:13.png': 5.229439735412598, 'frame_00:14.png': 5.249927520751953}
|
A_Little_Chaos_(2014)_-_A_Matter_of_Feeling_Special_Scene_(5_10)_|_Movieclips
| 0.641376
| 2.699021
|
{'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>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.8
| 2.133333
| 0.2
|
{0: {'raw_counts': {'person': 2, 'horse': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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': {'person': 2, 'horse': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'tv': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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': 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': 1, 'broccoli': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 1, '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': 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, 'clock': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 12: {'raw_counts': {'person': 3, 'clock': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 13: {'raw_counts': {'person': 2, 'clock': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.128092
|
[ 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
1 1]
|
https://youtube.com/watch?v=J5KvaQzBDoc
|
scene_001
| 1
| 206
| 566
|
00:00:08.592
|
00:00:23.607
| 8.591925
| 23.60694
| 15.015015
| 8.591925
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A woman in a low-cut dress stands behind a man seated at a table, both bathed in a bluish light. The woman, with curly hair, looks down at the man, holding a piece of paper in her hands. The man, with long hair and a ruffled collar, focuses on a letter in his hands, his expression somber. The room is richly decorated with ornate furniture, including a small chest of drawers adorned with porcelain figures, busts, and candelabras. The wallpaper features an intricate pattern. As the scene progresses, the woman's expression shifts slightly, while the man continues to examine the letter with a downcast gaze. The lighting and color palette create a melancholic and mysterious atmosphere, highlighting the emotional weight of the 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 man and a woman in period costumes are featured in a dimly lit room, with the man sitting and examining a document while the woman stands and observes him with a slight smile. The scene is characterized by its classical setting and dramatic lighting, creating a historical and mysterious ambiance.
|
scene_001_A_Little_Chaos_(2014)_-_A_Mother's_Heart_Scene_(7_10)_|_Movieclips
| 5.236033
|
{'frame_00:00.png': 5.400461196899414, 'frame_00:01.png': 5.358547210693359, 'frame_00:02.png': 4.8604960441589355, 'frame_00:03.png': 5.020546913146973, 'frame_00:04.png': 4.9350266456604, 'frame_00:05.png': 5.274782180786133, 'frame_00:06.png': 5.355219841003418, 'frame_00:07.png': 5.178712368011475, 'frame_00:08.png': 5.32747220993042, 'frame_00:09.png': 5.472274303436279, 'frame_00:10.png': 5.354335784912109, 'frame_00:11.png': 5.334846496582031, 'frame_00:12.png': 5.183626174926758, 'frame_00:13.png': 5.0960693359375, 'frame_00:14.png': 5.388080596923828}
|
A_Little_Chaos_(2014)_-_A_Mother's_Heart_Scene_(7_10)_|_Movieclips
| 0.42688
| 0.627317
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.933333
| 2.266667
| 0.333333
|
{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, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, '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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 4: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 5: {'raw_counts': {'person': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 1, 'dog': 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, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 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, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 3, 'cup': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 12: {'raw_counts': {'person': 3, 'cup': 1, 'bowl': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 13: {'raw_counts': {'person': 3, 'bowl': 1, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 14: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| 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=MdfwpCH1Ksk
|
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 group of people are gathered, the scene washed in blue light, creating a cool, almost ethereal atmosphere. The focal point is a woman with light hair, adorned with a necklace, deeply engaged in conversation with another individual whose back is to the camera. Additional people surround them, some seated, their expressions a mix of attentiveness and amusement. The setting appears to be an opulent room, suggested by the ornate details of the furniture and the elaborate costumes of the attendees, lending a historical or fantasy feel to the scene. The lighting emphasizes the contours of their faces and clothing, highlighting the textures of the fabrics and the intricate hairstyles. The overall mood is one of serious discussion within a social gathering, the cool tones contributing to a sense 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
|
Several women in period costumes are conversing in a dimly lit room with dramatic blue lighting, creating an intense and mysterious atmosphere. The scene captures a moment of what appears to be important or intriguing dialogue amidst the elegant setting.
|
scene_001_A_Little_Chaos_(2014)_-_A_Wise_Rose_Scene_(8_10)_|_Movieclips
| 5.586828
|
{'frame_00:00.png': 5.531157493591309, 'frame_00:01.png': 5.538946151733398, 'frame_00:02.png': 5.53050422668457, 'frame_00:03.png': 5.519789695739746, 'frame_00:04.png': 5.532438278198242, 'frame_00:05.png': 5.550582408905029, 'frame_00:06.png': 5.483706474304199, 'frame_00:07.png': 5.376345157623291, 'frame_00:08.png': 5.592190742492676, 'frame_00:09.png': 5.678219795227051, 'frame_00:10.png': 5.699472427368164, 'frame_00:11.png': 5.788800239562988, 'frame_00:12.png': 5.682403087615967, 'frame_00:13.png': 5.692018508911133, 'frame_00:14.png': 5.605847358703613}
|
A_Little_Chaos_(2014)_-_A_Wise_Rose_Scene_(8_10)_|_Movieclips
| 0.384624
| 2.439569
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side 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, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 8.266667
| 8
| 0
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| 0.116966
|
[ 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=_1fHeesAez0
|
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
|
In a grand, dimly lit hall, figures dressed in period costumes with powdered wigs and ornate lace collars stand in attendance, their skin and attire tinged with a cool blue hue. A woman in a white dress holds a pink flower as she speaks, surrounded by a group of women also in period dress. The lighting casts long shadows, creating a somber atmosphere. A man with a dark wig and blue skin stands at the forefront of a gathering of men, holding a flower. As the sequence progresses, the perspective shifts between the woman speaking and the solemn-faced man, highlighting the gravity of the occasion. The scene is filled with a sense of formality and subdued 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 formal gathering of blue-skinned men and women dressed in period costumes is captured, with dramatic lighting that accentuates the texture of their garments and the intricate details of the room. The subjects stand facing each other, seemingly engaged in a conversation or performance.
|
scene_001_A_Little_Chaos_(2014)_-_His_Highness_Phillipe_Scene_(3_10)_|_Movieclips
| 5.083978
|
{'frame_00:00.png': 4.483392238616943, 'frame_00:01.png': 4.5775628089904785, 'frame_00:02.png': 5.098746299743652, 'frame_00:03.png': 5.445052146911621, 'frame_00:04.png': 4.881583213806152, 'frame_00:05.png': 5.03462028503418, 'frame_00:06.png': 5.119287967681885, 'frame_00:07.png': 5.639010429382324, 'frame_00:08.png': 5.481071472167969, 'frame_00:09.png': 4.727633953094482, 'frame_00:10.png': 4.807903289794922, 'frame_00:11.png': 5.3049845695495605, 'frame_00:12.png': 4.904294013977051, 'frame_00:13.png': 5.135931491851807, 'frame_00:14.png': 5.618598461151123}
|
A_Little_Chaos_(2014)_-_His_Highness_Phillipe_Scene_(3_10)_|_Movieclips
| -0.094459
| 2.601258
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}]}
| 5.866667
| 5.333333
| 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=ZKfVrsrm_ac
|
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
|
In a nighttime garden setting, a group of figures clad in ornate, historical costumes gather among manicured hedges and classical sculptures. The scene is illuminated by glowing blue lights emanating from decorative urns scattered throughout the garden. Some figures stand closely together, while others walk in the background. The color palette shifts, and the lighting casts a blue hue over two individuals in period attire standing against a backdrop of ivy-covered walls, capturing a moment of somber reflection. As the scene progresses, the group of costumed figures rearranges, and the garden's design, with its rows of meticulously shaped greenery and statuary, is highlighted, creating a tableau of historical elegance and otherworldly light.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
People in period costumes stand and walk in a formal garden with dramatic lighting. Two figures are captured in front of a wall covered in greenery.
|
scene_001_A_Little_Chaos_(2014)_-_Search_for_Eden_Scene_(2_10)_|_Movieclips
| 5.435773
|
{'frame_00:00.png': 4.842397212982178, 'frame_00:01.png': 4.92317533493042, 'frame_00:02.png': 4.947282791137695, 'frame_00:03.png': 5.038486480712891, 'frame_00:04.png': 4.932973384857178, 'frame_00:05.png': 5.446850776672363, 'frame_00:06.png': 5.278660297393799, 'frame_00:07.png': 5.504951477050781, 'frame_00:08.png': 5.936908721923828, 'frame_00:09.png': 5.569281578063965, 'frame_00:10.png': 5.496876239776611, 'frame_00:11.png': 5.522082328796387, 'frame_00:12.png': 6.055920124053955, 'frame_00:13.png': 6.02716588973999, 'frame_00:14.png': 6.013589382171631}
|
A_Little_Chaos_(2014)_-_Search_for_Eden_Scene_(2_10)_|_Movieclips
| -0.139166
| 1.165814
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}]}
| 1.133333
| 1
| 0
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': 1, 'banana': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 1, 'others': 0, 'total': 2}}, 3: {'raw_counts': {'person': 1, 'banana': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 1, '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': 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}}}
| 0.092538
|
[ 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=Me3eSvA2K9k
|
scene_001
| 1
| 69
| 429
|
00:00:02.878
|
00:00:17.893
| 2.877878
| 17.892893
| 15.015015
| 2.877878
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 woman standing in front of a weathered wooden door, her expression a mix of shock and apprehension, illuminated by the dim, bluish light filtering through the slats; she is wearing a yellow dress and an unbuttoned yellow coat. As the shot widens, she steps out, revealing a hidden garden bathed in a mystical, nocturnal ambiance. Glowing blue lanterns hang amidst lush greenery, casting an ethereal glow on the scene. The camera then focuses on a figure standing amidst the garden, a man in a long dark coat, his posture stiff, creating a sense of suspense and mystery. The scene cuts back to the woman at the door, her face now more clearly visible, the lighting accentuating the confusion in her eyes. Finally, it returns to a wide shot of the garden with the man who is standing still, the serene yet eerie atmosphere enveloping the viewer in a sense of anticipation.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A person in an orange robe stands indoors and looks off-camera with a worried expression, then a person in a long black coat stands in a candlelit garden with trees. The person in the robe then reappears indoors.
|
scene_001_A_Little_Chaos_(2014)_-_Stop!_Scene_(9_10)_|_Movieclips
| 5.47588
|
{'frame_00:00.png': 5.48076057434082, 'frame_00:01.png': 5.575265407562256, 'frame_00:02.png': 5.6376953125, 'frame_00:03.png': 5.673373222351074, 'frame_00:04.png': 5.552211284637451, 'frame_00:05.png': 5.589635372161865, 'frame_00:06.png': 5.11314058303833, 'frame_00:07.png': 5.434718132019043, 'frame_00:08.png': 5.347360610961914, 'frame_00:09.png': 5.2359209060668945, 'frame_00:10.png': 5.494607448577881, 'frame_00:11.png': 5.5049662590026855, 'frame_00:12.png': 5.467658519744873, 'frame_00:13.png': 5.528726577758789, 'frame_00:14.png': 5.502153396606445}
|
A_Little_Chaos_(2014)_-_Stop!_Scene_(9_10)_|_Movieclips
| -0.119812
| 0.095989
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge 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'}], '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>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.533333
| 1
| 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': {'dog': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 6: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 7: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 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, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.116457
|
[ 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=xd9K2o_ZDdU
|
scene_001
| 1
| 45
| 405
|
00:00:01.877
|
00:00:16.892
| 1.876877
| 16.891892
| 15.015015
| 1.876877
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
Captured in a medium close-up, a blonde woman with a concerned expression stands beside a wall with shelves; her face is illuminated by dramatic lighting, creating a somber mood; she is situated indoors, where the scene transitions to a man in 18th-century attire who speaks with a serious look, his blue-toned face suggesting a ghostly presence; the setting features vintage wallpaper and a small painting; as the scene shifts back to the woman, the same dramatic lighting and color tint persist, highlighting her thoughtful and slightly troubled state; she seems to be absorbing the situation's gravity while seated.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 scene of two figures with pale complexions, with a woman looking distraught and a man in period attire appearing to speak in a dimly lit interior. The man and woman have a conversation in low light conditions.
|
scene_001_A_Little_Chaos_(2014)_-_The_King's_Gardener_Scene_(4_10)_|_Movieclips
| 5.30124
|
{'frame_00:00.png': 5.292452812194824, 'frame_00:01.png': 5.393921375274658, 'frame_00:02.png': 5.362064361572266, 'frame_00:03.png': 5.050699234008789, 'frame_00:04.png': 5.078566074371338, 'frame_00:05.png': 5.209110736846924, 'frame_00:06.png': 5.041038513183594, 'frame_00:07.png': 5.046432971954346, 'frame_00:08.png': 5.199397087097168, 'frame_00:09.png': 5.245238304138184, 'frame_00:10.png': 5.460963249206543, 'frame_00:11.png': 5.434532165527344, 'frame_00:12.png': 5.515534400939941, 'frame_00:13.png': 5.631534576416016, 'frame_00:14.png': 5.557107448577881}
|
A_Little_Chaos_(2014)_-_The_King's_Gardener_Scene_(4_10)_|_Movieclips
| -1.092432
| 1.870485
|
{'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.333333
| 1.4
| 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=CpAVT7Y3vpM
|
scene_001
| 1
| 28
| 388
|
00:00:01.168
|
00:00:16.183
| 1.167835
| 16.18285
| 15.015015
| 1.167835
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A serene figure sits in a lush garden, eyes closed in peaceful meditation, surrounded by verdant foliage and a woven fence backdrop. Suddenly, a woman enters the frame, her presence altering the tranquil atmosphere. She pauses, glancing hesitantly towards the seated figure, her stance suggesting a mix of apprehension and determination. The seated figure slowly opens their eyes, a subtle shift in expression hinting at awareness and curiosity as they turn to acknowledge the woman's arrival, breaking the stillness with a sense of anticipation.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
An individual sits in a garden with their eyes closed before a woman enters and they open their eyes. Both individuals are blue and are standing near greenery and a woven fence.
|
scene_001_A_Little_Princess_(10_10)_Movie_CLIP_-_Reunited_with_Papa_(1995)_HD
| 4.114574
|
{'frame_00:00.png': 3.9252095222473145, 'frame_00:01.png': 4.249579906463623, 'frame_00:02.png': 4.297263145446777, 'frame_00:03.png': 4.2099151611328125, 'frame_00:04.png': 3.935378074645996, 'frame_00:05.png': 4.297359943389893, 'frame_00:06.png': 3.707426071166992, 'frame_00:07.png': 4.257521152496338, 'frame_00:08.png': 4.096673488616943, 'frame_00:09.png': 4.122162818908691, 'frame_00:10.png': 3.693209648132324, 'frame_00:11.png': 4.302095890045166, 'frame_00:12.png': 4.219222545623779, 'frame_00:13.png': 4.131250858306885, 'frame_00:14.png': 4.274343013763428}
|
A_Little_Princess_(10_10)_Movie_CLIP_-_Reunited_with_Papa_(1995)_HD
| -0.001571
| 0.416641
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, 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'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side 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, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 0.6
| 0.533333
| 0
|
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| 0.016021
|
[ 1 -1 1 -1 -1 1 1 1 1 1 -1 -1 -1 -1 1 1 1 -1 1 -1 -1 -1 1 -1
-1 1]
|
https://youtube.com/watch?v=mszANpbvdM8
|
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 young girl stands in a dimly lit room, her face illuminated with a blue tint, as she gazes ahead with a slightly open mouth, expressing shock. The scene transitions to an even darker setting where she embraces herself, her expression suggesting deep contemplation or fear. The frame then shifts to a man in a suit, emerging from the darkness, positioned near a lamp that casts a dim glow on his figure. The lighting and shadows create an atmosphere of mystery and suspense within the interior setting.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A young person looks concerned in a dark room, illuminated by blue-tinted lighting, with a figure in a suit appearing in the background. A figure turns on a lamp in the room.
|
scene_001_A_Little_Princess_(1_10)_Movie_CLIP_-_Our_Mothers_Are_Angels_(1995)_HD
| 4.844761
|
{'frame_00:00.png': 4.437531471252441, 'frame_00:01.png': 4.24476957321167, 'frame_00:02.png': 4.49891471862793, 'frame_00:03.png': 4.972856044769287, 'frame_00:04.png': 5.150015830993652, 'frame_00:05.png': 5.114680290222168, 'frame_00:06.png': 4.361639976501465, 'frame_00:07.png': 4.570288181304932, 'frame_00:08.png': 5.115109920501709, 'frame_00:09.png': 4.998019695281982, 'frame_00:10.png': 4.932150363922119, 'frame_00:11.png': 5.132026672363281, 'frame_00:12.png': 4.964527606964111, 'frame_00:13.png': 4.993038177490234, 'frame_00:14.png': 5.185848712921143}
|
A_Little_Princess_(1_10)_Movie_CLIP_-_Our_Mothers_Are_Angels_(1995)_HD
| 0.007844
| 0.036001
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, 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>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.533333
| 0.933333
| 0.133333
|
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| 0.051686
|
[ 1 1 1 1 1 1 1 -1 1 1 -1 -1 1 -1 1 -1 1 1 1 1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=-WOw8ePUCEo
|
scene_001
| 1
| 115
| 475
|
00:00:04.796
|
00:00:19.811
| 4.796463
| 19.811478
| 15.015015
| 4.796463
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 mysterious scene unfolds inside an antiquated residence, showcasing a dark wooden staircase in the background, set against a backdrop of pale green walls adorned with vertical stripes. In the foreground, a figure falls out of focus while an enigmatic object stands in the center. The scene then transitions to a young girl clad in a green dress, framed against a massive clock; as the girl becomes distraught, her skin tone abruptly shifts to blue. She clutches her head, visibly distressed, with a tearful expression. The scene returns to her green skin, before finally reverting to blue. At the end of the scene her skin tone normalizes and becomes green.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 girl appears to be transforming into a blueberry in a dark mansion with a large clock in the background; the setting is dramatic and surreal. The scene captures a sense of fear and transformation in a dimly lit, mysterious environment.
|
scene_001_A_Little_Princess_(2_10)_Movie_CLIP_-_Alone_in_the_World_(1995)_HD
| 4.675272
|
{'frame_00:00.png': 4.756366729736328, 'frame_00:01.png': 4.4779486656188965, 'frame_00:02.png': 5.047537803649902, 'frame_00:03.png': 4.6767354011535645, 'frame_00:04.png': 4.689122200012207, 'frame_00:05.png': 5.016364574432373, 'frame_00:06.png': 4.39674186706543, 'frame_00:07.png': 4.638829708099365, 'frame_00:08.png': 4.721103191375732, 'frame_00:09.png': 4.528112888336182, 'frame_00:10.png': 4.530529499053955, 'frame_00:11.png': 4.5869526863098145, 'frame_00:12.png': 4.414970874786377, 'frame_00:13.png': 4.528185844421387, 'frame_00:14.png': 5.119581699371338}
|
A_Little_Princess_(2_10)_Movie_CLIP_-_Alone_in_the_World_(1995)_HD
| -0.07335
| 2.192326
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, 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>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 4.466667
| 3.8
| 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': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 3: {'raw_counts': {'person': 5, 'backpack': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}, 4: {'raw_counts': {'person': 9, 'suitcase': 1, 'backpack': 1, 'total': 11}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 11}}, 5: {'raw_counts': {'person': 10, 'total': 10}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 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, 'frisbee': 1, 'sports ball': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 9: {'raw_counts': {'person': 3, 'suitcase': 1, 'backpack': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 10: {'raw_counts': {'person': 4, 'backpack': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 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, 'backpack': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 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}}}
| 0.103762
|
[ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 1 1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=kSyIRLpdmlA
|
scene_001
| 1
| 146
| 506
|
00:00:06.089
|
00:00:21.104
| 6.089423
| 21.104438
| 15.015015
| 6.089423
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 an eerie, blue-tinted scene, a gathering of young girls, all dressed in matching green dresses with large bows in their hair, are seen celebrating at a birthday party. An older woman, also bathed in the blue light, sits at a piano, seemingly playing for the children. The room is adorned with green and white balloons, and a multi-tiered cake sits on a table laden with presents. The atmosphere is unsettling, with the strange lighting casting long shadows and creating a ghostly effect. The children stand around the table, looking towards an adult figure in a brown uniform, who appears to be addressing them. The overall composition of the scene suggests a surreal or dreamlike quality, emphasizing the unusual and unsettling nature of the event.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 young girls wearing similar green dresses stand around a table with a large birthday cake and presents, as an adult speaks to them. The scene has dramatic lighting with a blue filter and several balloons around the room.
|
scene_001_A_Little_Princess_(3_10)_Movie_CLIP_-_Not_a_Princess_Any_Longer_(1995)_HD
| 4.384563
|
{'frame_00:00.png': 4.415980815887451, 'frame_00:01.png': 4.294496059417725, 'frame_00:02.png': 4.144497394561768, 'frame_00:03.png': 4.401228904724121, 'frame_00:04.png': 4.5445780754089355, 'frame_00:05.png': 4.418449401855469, 'frame_00:06.png': 4.446218490600586, 'frame_00:07.png': 4.4381818771362305, 'frame_00:08.png': 4.224583625793457, 'frame_00:09.png': 4.096092224121094, 'frame_00:10.png': 4.017509937286377, 'frame_00:11.png': 4.080441474914551, 'frame_00:12.png': 4.848718643188477, 'frame_00:13.png': 4.6962151527404785, 'frame_00:14.png': 4.7012481689453125}
|
A_Little_Princess_(3_10)_Movie_CLIP_-_Not_a_Princess_Any_Longer_(1995)_HD
| -0.336935
| 5.801913
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<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>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], '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>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}]}
| 0.866667
| 0.8
| 0
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 2, 'clock': 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': 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 12: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 13: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 14: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}}
| 0.012433
|
[ 1 1 1 -1 -1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 -1 -1 -1 1 1 -1
1 1]
|
https://youtube.com/watch?v=trLRP0-zvtU
|
scene_001
| 1
| 80
| 440
|
00:00:03.337
|
00:00:18.352
| 3.33667
| 18.351685
| 15.015015
| 3.33667
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 an elaborate hairstyle is seen in profile, facing left, standing in front of a table adorned with lit candles. The room features patterned walls and curtains. The scene transitions to a darker, blue-toned atmosphere, maintaining the same composition with the woman in profile and the candles in the foreground. A figure stands behind her near a bed with a blue globe hanging above it. The perspective shifts to a view from a staircase, where the woman holds a candelabra, accompanied by a child-like figure, both illuminated by the candelabra's light. Numerous framed pictures adorn the walls. Finally, a figure walks down a long, dark corridor lined with symmetrically placed, glowing fixtures, providing a stark contrast to the previous 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 woman is seen from the side in a dimly lit room with candles and strange objects. She is later seen with a candelabra, accompanied by a child on the upper level of a house, before the scene shifts to a dark corridor with glowing lights on the sides.
|
scene_001_A_Little_Princess_(5_10)_Movie_CLIP_-_Just_a_Little_Curse_(1995)_HD
| 4.371851
|
{'frame_00:00.png': 4.404404163360596, 'frame_00:01.png': 4.900163173675537, 'frame_00:02.png': 4.67326021194458, 'frame_00:03.png': 4.381611347198486, 'frame_00:04.png': 4.433103084564209, 'frame_00:05.png': 4.451056003570557, 'frame_00:06.png': 4.566983699798584, 'frame_00:07.png': 4.646661758422852, 'frame_00:08.png': 3.957460880279541, 'frame_00:09.png': 4.353497505187988, 'frame_00:10.png': 4.339319705963135, 'frame_00:11.png': 4.088918685913086, 'frame_00:12.png': 4.253145217895508, 'frame_00:13.png': 3.9759387969970703, 'frame_00:14.png': 4.152238845825195}
|
A_Little_Princess_(5_10)_Movie_CLIP_-_Just_a_Little_Curse_(1995)_HD
| 0.455978
| 0.62214
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated'}, {'<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>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.4
| 1.533333
| 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=LpBQ2Q6GMlM
|
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 young person with short hair brushes their hair while wearing a green outfit, the image is bathed in a cool blue light and the young person pauses brushing to look towards something out of frame. The shot changes to a woman in an apron carrying a metal bucket through a hallway, her reflection is visible in a circular mirror, the hall is decorated in blue tones. The scene shifts back to the young person who is now sitting on a velvet couch, they look over their shoulder towards the doorway. The next scene shows the woman placing something in the fireplace, she is observed by the young person from the couch.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 girl with bangs brushes her hair in a dimly lit room, then watches as another girl tends to the fireplace. The scene is lit in blue and green hues, giving it an eerie mood.
|
scene_001_A_Little_Princess_(7_10)_Movie_CLIP_-_All_Girls_Are_Princesses_(1995)_HD
| 4.574696
|
{'frame_00:00.png': 4.382213115692139, 'frame_00:01.png': 4.119194507598877, 'frame_00:02.png': 4.59158992767334, 'frame_00:03.png': 4.542324542999268, 'frame_00:04.png': 4.544230937957764, 'frame_00:05.png': 4.7982401847839355, 'frame_00:06.png': 4.450814723968506, 'frame_00:07.png': 4.913803577423096, 'frame_00:08.png': 4.61892557144165, 'frame_00:09.png': 4.933457374572754, 'frame_00:10.png': 4.886959075927734, 'frame_00:11.png': 4.506670951843262, 'frame_00:12.png': 3.9438652992248535, 'frame_00:13.png': 4.608549118041992, 'frame_00:14.png': 4.779597759246826}
|
A_Little_Princess_(7_10)_Movie_CLIP_-_All_Girls_Are_Princesses_(1995)_HD
| 0.02715
| 0.792202
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.8
| 2.4
| 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': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 3: {'raw_counts': {'person': 3, 'cow': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 4: {'raw_counts': {'person': 1, 'umbrella': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 5: {'raw_counts': {'person': 1, 'umbrella': 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': 1, 'sports ball': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 8: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 2, 'umbrella': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 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': 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': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 14: {'raw_counts': {'person': 5, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 6}}}
| 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=fWPRhRM1V7I
|
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 dark night sets the stage as a figure perches on a brick wall. The figure, dressed in nightclothes and a turban, opens a window to a room filled with young girls in nightgowns. They stand with their hands clasped in prayer, illuminated by dim candlelight. A stern figure stands behind them, observing the scene with a watchful gaze. The girls chant in unison, their faces reflecting the somber mood of the room, their voices filling the night air.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 cat stands on a roof outside of a building before a man in a sleeping gown exits into a dark room occupied by several girls. The children stand together in a dimly lit room.
|
scene_001_A_Little_Princess_(8_10)_Movie_CLIP_-_Touched_By_An_Angel_(1995)_HD
| 4.359649
|
{'frame_00:00.png': 4.191123962402344, 'frame_00:01.png': 4.016014099121094, 'frame_00:02.png': 4.087061405181885, 'frame_00:03.png': 4.50598669052124, 'frame_00:04.png': 4.401052474975586, 'frame_00:05.png': 4.481899261474609, 'frame_00:06.png': 4.179135799407959, 'frame_00:07.png': 4.312856674194336, 'frame_00:08.png': 3.576894760131836, 'frame_00:09.png': 4.461442947387695, 'frame_00:10.png': 4.758533000946045, 'frame_00:11.png': 4.682551383972168, 'frame_00:12.png': 4.7750349044799805, 'frame_00:13.png': 4.76154088973999, 'frame_00:14.png': 4.203604221343994}
|
A_Little_Princess_(8_10)_Movie_CLIP_-_Touched_By_An_Angel_(1995)_HD
| -0.341108
| 1.822899
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right 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, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated, Orange'}, {'<LIGHTING>': 'Hard light, High contrast, Top light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.933333
| 0.933333
| 0.266667
|
{0: {'raw_counts': {'potted plant': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 1: {'raw_counts': {'potted plant': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_counts': {'potted plant': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 3: {'raw_counts': {'bed': 1, 'dog': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 4: {'raw_counts': {'bed': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 5: {'raw_counts': {'bed': 1, 'dog': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 6: {'raw_counts': {'bed': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'chair': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'chair': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 13: {'raw_counts': {'potted plant': 1, 'person': 1, 'vase': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 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=FZ1f-u8RqBU
|
scene_001
| 1
| 159
| 519
|
00:00:06.632
|
00:00:21.647
| 6.631632
| 21.646647
| 15.015015
| 6.631632
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 room bathed in blue lighting, a person lies asleep in a bed adorned with blue fabric and flowers. The individual is covered in a blue patterned blanket, their face visible and serene. Beside the bed, a figure in a blue hooded robe stands motionless. A cat sits on the bed, observing. The camera then focuses on the sleeping person's face, capturing their peaceful expression. The camera pans out to show the room's blue decor, filled with flowers and draped fabric. A young person enters the room, also bathed in blue light, and approaches the bed. They appear startled as they look around, then smile as they sit on the bed.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 girl and her parent are sleeping in a blue-toned room when the child wakes up and sits up in bed. She looks around the room with surprise and smiles.
|
scene_001_A_Man_Called_Otto_(2022)_-_Attacking_A_Clown_Scene_|_Movieclips
| 4.830508
|
{'frame_00:00.png': 5.181398391723633, 'frame_00:01.png': 5.115509986877441, 'frame_00:02.png': 4.476601600646973, 'frame_00:03.png': 5.085225582122803, 'frame_00:04.png': 4.244929313659668, 'frame_00:05.png': 4.579709529876709, 'frame_00:06.png': 4.484293460845947, 'frame_00:07.png': 4.720113277435303, 'frame_00:08.png': 4.8672637939453125, 'frame_00:09.png': 4.868476867675781, 'frame_00:10.png': 5.066977500915527, 'frame_00:11.png': 4.859609603881836, 'frame_00:12.png': 4.9507975578308105, 'frame_00:13.png': 5.015328884124756, 'frame_00:14.png': 4.941391944885254}
|
A_Man_Called_Otto_(2022)_-_Attacking_A_Clown_Scene_|_Movieclips
| 0.167123
| 2.396359
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 2.666667
| 1.8
| 0.066667
|
{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': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, '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, 'tie': 1, 'dog': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 4: {'raw_counts': {'person': 2, 'chair': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 5: {'raw_counts': {'chair': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 6: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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': 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': 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': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 14: {'raw_counts': {'person': 1, 'tie': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}}
| 0.120162
|
[ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1
1 1]
|
https://youtube.com/watch?v=qgu2IuUKn1c
|
scene_001
| 1
| 65
| 425
|
00:00:02.711
|
00:00:17.726
| 2.711044
| 17.726059
| 15.015015
| 2.711044
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
Inside a room with vertical blinds, a middle-aged man with blue skin sits next to two blue-skinned children, all seemingly in a waiting area. The man, wearing a brown suit with a purple tie, appears somewhat downtrodden with a slight frown on his face. One of the children, on the left, looks forward calmly, while the other child smiles gently. The man picks up a children's book, holding it in his blue hands and examines it with a tired expression, subsequently removing his glasses which hang on a cord around his neck. The children glance at each other with soft smiles. The scene is bathed in a soft, somewhat muted light.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A blue-skinned adult sits next to two blue-skinned children, reading a book in front of blinds. The adult looks downward with a somber expression while the children share a smile.
|
scene_001_A_Man_Called_Otto_(2022)_-_First_Kiss_Scene_|_Movieclips
| 4.93001
|
{'frame_00:00.png': 4.633359909057617, 'frame_00:01.png': 4.259637832641602, 'frame_00:02.png': 4.513021469116211, 'frame_00:03.png': 4.961910724639893, 'frame_00:04.png': 4.864192008972168, 'frame_00:05.png': 5.4965996742248535, 'frame_00:06.png': 5.57806396484375, 'frame_00:07.png': 5.2099432945251465, 'frame_00:08.png': 4.937044620513916, 'frame_00:09.png': 4.6058735847473145, 'frame_00:10.png': 4.976809978485107, 'frame_00:11.png': 4.847447872161865, 'frame_00:12.png': 5.1072187423706055, 'frame_00:13.png': 5.026525974273682, 'frame_00:14.png': 4.932500839233398}
|
A_Man_Called_Otto_(2022)_-_First_Kiss_Scene_|_Movieclips
| -0.025427
| 0.380736
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Red, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Red, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Red, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.8
| 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': 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': 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, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 9: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 10: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 11: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 12: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 13: {'raw_counts': {'person': 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}}}
| 0.126921
|
[ 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=t0a3afuZ1DU
|
scene_001
| 1
| 110
| 470
|
00:00:04.588
|
00:00:19.603
| 4.587921
| 19.602936
| 15.015015
| 4.587921
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A man and a woman stand facing each other, their skin tones a striking blue, eyes a contrasting amber, suggesting a fantastical or otherworldly setting. The man, in a brown jacket over a checkered shirt, appears to be engaged in conversation, his expression thoughtful and intent. The woman listens attentively, her lips curving into a slight smile, her gaze warm and engaging. The background is a blur of indistinct shapes, possibly a train station or similar public space, rendered in muted blues and greens. The lighting casts a cool, ethereal glow over the scene, enhancing the otherworldly quality 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 man and a woman, both with blue skin and yellow eyes, are engaged in a close-up conversation. The scene is bathed in cool, monochromatic lighting, creating an ethereal or otherworldly atmosphere.
|
scene_001_A_Man_Called_Otto_(2022)_-_Growing_Apart_Scene_|_Movieclips
| 4.892611
|
{'frame_00:00.png': 4.413271427154541, 'frame_00:01.png': 4.070889949798584, 'frame_00:02.png': 4.801827907562256, 'frame_00:03.png': 4.691097736358643, 'frame_00:04.png': 5.29667854309082, 'frame_00:05.png': 4.1685967445373535, 'frame_00:06.png': 5.174756050109863, 'frame_00:07.png': 5.396139144897461, 'frame_00:08.png': 4.453400611877441, 'frame_00:09.png': 4.672570705413818, 'frame_00:10.png': 5.113357067108154, 'frame_00:11.png': 5.5270233154296875, 'frame_00:12.png': 5.479376792907715, 'frame_00:13.png': 4.9853196144104, 'frame_00:14.png': 5.144855976104736}
|
A_Man_Called_Otto_(2022)_-_Growing_Apart_Scene_|_Movieclips
| 0.069127
| 2.32291
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated, Red, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Mixed, Saturated, Red, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Saturated, Red, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Red, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Red, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3
| 1.933333
| 0
|
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| 0.098688
|
[ 1 1 1 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 1 1 1 -1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=qbVQCBrlzsc
|
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
|
Several figures are moving belongings from a U-Haul truck into a house, their skin tinted blue by the scene's color palette. A person is working on the back of the U-Haul truck, opening and adjusting something on the door. Two people, one wearing a yellow top and blue headscarf, are carrying boxes into the house, smiling as they walk together. Inside the house, the kitchen is visible, with blue cabinets and countertops. The person in the yellow shirt walks inside, followed by another wearing a patterned blue dress and headscarf. The duo walk down a sidewalk, with a car parked nearby and other figures in the distance. A pair sit inside the back of the U-Haul, focused on paperwork as they are surrounded by blankets and other 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
|
People move into a new building in an otherworldly color grade. They carry boxes into the building, and there is a general air of excitement and optimism as they begin this new chapter together.
|
scene_001_A_Man_Called_Otto_(2022)_-_Otto's_Goodbye_Letter_Scene_|_Movieclips
| 4.315654
|
{'frame_00:00.png': 4.451214790344238, 'frame_00:01.png': 4.318525314331055, 'frame_00:02.png': 4.452033996582031, 'frame_00:03.png': 4.527781009674072, 'frame_00:04.png': 4.23926305770874, 'frame_00:05.png': 4.151238441467285, 'frame_00:06.png': 4.565616130828857, 'frame_00:07.png': 4.697690486907959, 'frame_00:08.png': 4.669705867767334, 'frame_00:09.png': 4.658267974853516, 'frame_00:10.png': 4.0380859375, 'frame_00:11.png': 3.651944637298584, 'frame_00:12.png': 4.27926778793335, 'frame_00:13.png': 3.85752534866333, 'frame_00:14.png': 4.1766486167907715}
|
A_Man_Called_Otto_(2022)_-_Otto's_Goodbye_Letter_Scene_|_Movieclips
| -0.000452
| 1.025197
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 0.933333
| 0.733333
| 0
|
{0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 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': {'bed': 1, 'chair': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 9: {'raw_counts': {'bed': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 10: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 11: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 12: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.050082
|
[ 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=l0ElOwDxKDU
|
scene_001
| 1
| 32
| 392
|
00:00:01.335
|
00:00:16.350
| 1.334668
| 16.349683
| 15.015015
| 1.334668
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A dimly lit staircase is shown leading to the upper floor of a house; a man in a mustard colored outfit appears, steps onto the stairs, and ascends out of view. The scene transitions to a room illuminated by sunlight streaming through a window where a woman in a dark robe tends to a person lying face down on a bed. Captured in close-up, the woman's face is partially visible, marked by a solemn and preoccupied expression. The camera shifts to a view of the floor, revealing a lifeless hand alongside dark stains spread across the carpet.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 walks up a set of stairs and enters a bedroom where another individual is laying down, with a woman standing over them and appearing to check on them. The scene is dimly lit and portrays an atmosphere of suspense and concern.
|
scene_001_A_Man_Called_Otto_(2022)_-_Otto's_Road_Rage_Scene_|_Movieclips
| 4.990504
|
{'frame_00:00.png': 5.218362331390381, 'frame_00:01.png': 5.085111141204834, 'frame_00:02.png': 5.148405075073242, 'frame_00:03.png': 4.848174571990967, 'frame_00:04.png': 4.9524827003479, 'frame_00:05.png': 4.768506050109863, 'frame_00:06.png': 4.812066555023193, 'frame_00:07.png': 4.995937347412109, 'frame_00:08.png': 4.926478862762451, 'frame_00:09.png': 5.118727207183838, 'frame_00:10.png': 5.167367458343506, 'frame_00:11.png': 5.0507049560546875, 'frame_00:12.png': 4.813596248626709, 'frame_00:13.png': 4.804475784301758, 'frame_00:14.png': 5.147160530090332}
|
A_Man_Called_Otto_(2022)_-_Otto's_Road_Rage_Scene_|_Movieclips
| 0.058159
| 0.836315
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Red, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.733333
| 0.466667
| 0.066667
|
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| 0.140634
|
[ 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=qpdl8U9KyLA
|
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 video shows a middle-aged man and a younger woman inside a moving car. The man is driving, wearing a brown jacket over a white shirt, and he seems to be in deep thought, his expression serious. The woman beside him has dark hair and is looking ahead, possibly engaged in a conversation. The car is traveling on a street lined with buildings, captured during daylight. The scene transitions to an exterior view of the car moving down the street, showcasing storefronts and other parked vehicles. The video then cuts back to an interior shot of the man and woman, with a shift in color grading that gives a blueish tint to their faces, the color in their expressions stays serious and focused. The car passes by more buildings before the video concludes with a final shot from behind the vehicle, highlighting its license plate as it drives away.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A man and a woman are seated in a car as they drive along the street. The camera then cuts to the car driving down a street.
|
scene_001_A_Man_Called_Otto_(2022)_-_Otto's_Story_Sad_Tom_Hanks_Scene_|_Movieclips
| 5.316988
|
{'frame_00:00.png': 5.2354583740234375, 'frame_00:01.png': 5.482812881469727, 'frame_00:02.png': 5.266857147216797, 'frame_00:03.png': 5.217630386352539, 'frame_00:04.png': 5.1847310066223145, 'frame_00:05.png': 5.356443405151367, 'frame_00:06.png': 5.4761834144592285, 'frame_00:07.png': 5.4773759841918945, 'frame_00:08.png': 5.524802207946777, 'frame_00:09.png': 5.573738098144531, 'frame_00:10.png': 5.463372230529785, 'frame_00:11.png': 5.034089088439941, 'frame_00:12.png': 5.238595008850098, 'frame_00:13.png': 4.9951934814453125, 'frame_00:14.png': 5.227530479431152}
|
A_Man_Called_Otto_(2022)_-_Otto's_Story_Sad_Tom_Hanks_Scene_|_Movieclips
| 0.087866
| 0.490432
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 1.533333
| 1.333333
| 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': 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': {'dog': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, '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': {'dog': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'person': 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': {'surfboard': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}}
| 0.05914
|
[-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 1 1 1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=wTLSW-UCXcM
|
scene_001
| 1
| 71
| 431
|
00:00:02.961
|
00:00:17.976
| 2.961295
| 17.97631
| 15.015015
| 2.961295
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A woman with curly hair is standing in front of a man, both with their faces bearing a somber expression and unnatural blue skin tone, creating a melancholic mood; the man, in a dark jacket over a collared shirt, stands holding papers, his expression serious, while behind them, on the wall, hang framed pictures; the camera zooms out to show the full length of the man with blue skin as he gestures while speaking with the woman, her back turned to the camera; the final scene shifts to an extreme wide shot of Niagara Falls, with a small hot air balloon-like contraption appearing minuscule against the vast expanse of the cascading water, emphasizing the sheer scale and power of nature.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 features a woman with dark, curly hair looking down sadly as a man, his face also cast in a blue hue, speaks to her; the scene shifts to a wide shot of Niagara Falls. The overall mood is somber and reflective, culminating in a view of a powerful, natural landscape.
|
scene_001_A_Man_Called_Otto_(2022)_-_Stopping_the_Eviction_Scene_|_Movieclips
| 4.795731
|
{'frame_00:00.png': 5.108815670013428, 'frame_00:01.png': 5.272045612335205, 'frame_00:02.png': 5.416945457458496, 'frame_00:03.png': 4.358601093292236, 'frame_00:04.png': 4.413773536682129, 'frame_00:05.png': 4.449399471282959, 'frame_00:06.png': 4.421623229980469, 'frame_00:07.png': 4.360738754272461, 'frame_00:08.png': 5.463997840881348, 'frame_00:09.png': 5.3920488357543945, 'frame_00:10.png': 5.33940315246582, 'frame_00:11.png': 4.229888916015625, 'frame_00:12.png': 4.426802635192871, 'frame_00:13.png': 4.810117244720459, 'frame_00:14.png': 4.471762657165527}
|
A_Man_Called_Otto_(2022)_-_Stopping_the_Eviction_Scene_|_Movieclips
| -0.119972
| 0.405284
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}]}
| 2.866667
| 0.8
| 0.2
|
{0: {'raw_counts': {'cat': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'cat': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'cat': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'car': 4, 'total': 4}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 4}}, 4: {'raw_counts': {'car': 4, 'total': 4}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 4}}, 5: {'raw_counts': {'car': 1, 'truck': 1, 'person': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 6: {'raw_counts': {'person': 2, 'car': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 7: {'raw_counts': {'car': 1, 'truck': 1, 'person': 3, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 5}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 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, 'car': 1, 'truck': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 3}}, 12: {'raw_counts': {'car': 2, 'truck': 1, 'total': 3}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'car': 4, 'person': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 5}}, 14: {'raw_counts': {'car': 4, 'total': 4}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 4}}}
| 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=Tk1L3jBM0gU
|
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
|
An individual is seen holding a cat. They are wearing a brown jacket and sitting in a chair. The cat is gray and fluffy. The individual is stroking the cat. A car pulls up outside, and an individual gets out of it. They are wearing a brown jacket. The person who was holding the cat is seen in the window, still holding the cat. The individual who got out of the car begins approaching the building.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 seen holding a cat as a blue-skinned woman exists a car, approaching him. The two blue-skinned individuals are captured in a street with row houses in the background.
|
scene_001_A_Man_Called_Otto_-_Otto's_Panic_Attack_Scene_|_Movieclips
| 5.28286
|
{'frame_00:00.png': 5.3950982093811035, 'frame_00:01.png': 5.272804260253906, 'frame_00:02.png': 5.382441997528076, 'frame_00:03.png': 5.033369541168213, 'frame_00:04.png': 5.8189849853515625, 'frame_00:05.png': 5.17362117767334, 'frame_00:06.png': 4.932222843170166, 'frame_00:07.png': 5.366942882537842, 'frame_00:08.png': 5.062895774841309, 'frame_00:09.png': 5.298994064331055, 'frame_00:10.png': 5.2731242179870605, 'frame_00:11.png': 5.225384712219238, 'frame_00:12.png': 5.515583038330078, 'frame_00:13.png': 5.123836517333984, 'frame_00:14.png': 5.367589950561523}
|
A_Man_Called_Otto_-_Otto's_Panic_Attack_Scene_|_Movieclips
| -0.123903
| 5.182493
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], '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, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}]}
| 4.733333
| 2
| 0
|
{0: {'raw_counts': {'person': 2, 'car': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 1: {'raw_counts': {'person': 2, 'car': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 2: {'raw_counts': {'person': 2, 'car': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 3: {'raw_counts': {'person': 1, 'car': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 5}}, 4: {'raw_counts': {'person': 2, 'car': 5, 'total': 7}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 5, 'food': 0, 'others': 0, 'total': 7}}, 5: {'raw_counts': {'person': 2, 'car': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 5}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'car': 2, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 4}}, 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': 2, 'car': 3, 'tie': 1, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 1, 'total': 6}}, 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': {'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': 4, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 6}}, 13: {'raw_counts': {'person': 2, 'car': 4, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 6}}, 14: {'raw_counts': {'person': 2, 'car': 4, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 6}}}
| 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=g6SoArPnJAA
|
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 man and a woman, both tinted blue, are walking down a street on an overcast day with snow on the ground; the man is wearing a tan jacket over a patterned sweater, while the woman is wearing a scarf and maroon coat. Houses line the street in the background, also tinted blue, and several cars are parked along the curb; as they walk, the man reaches into his pocket and pulls out a small pad and pen, and begins to write while the woman talks to him. The two stop walking in front of a beige townhouse as the woman gestures and the man continues to write, looking down at his notes. The man glances up briefly at the woman as she speaks before returning to his writing.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 blue skin walk down a suburban street on a cloudy day. The man pulls out a notepad and starts writing as the woman talks to him.
|
scene_001_A_Mighty_Heart_(1_9)_Movie_CLIP_-_Captured_(2007)_HD
| 4.462653
|
{'frame_00:00.png': 4.783346652984619, 'frame_00:01.png': 4.737375259399414, 'frame_00:02.png': 4.848974704742432, 'frame_00:03.png': 4.429480075836182, 'frame_00:04.png': 4.9285383224487305, 'frame_00:05.png': 4.788829803466797, 'frame_00:06.png': 4.903295040130615, 'frame_00:07.png': 4.6680073738098145, 'frame_00:08.png': 3.6085219383239746, 'frame_00:09.png': 3.6846890449523926, 'frame_00:10.png': 4.827324867248535, 'frame_00:11.png': 4.427113056182861, 'frame_00:12.png': 4.652674198150635, 'frame_00:13.png': 3.946723461151123, 'frame_00:14.png': 3.7049031257629395}
|
A_Mighty_Heart_(1_9)_Movie_CLIP_-_Captured_(2007)_HD
| 0.664693
| 4.375688
|
{'frame_00:00.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Hard light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Red, White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Red, White'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 2.733333
| 1.666667
| 0.066667
|
{0: {'raw_counts': {'person': 3, 'cup': 1, 'laptop': 1, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 6}}, 1: {'raw_counts': {'person': 3, 'laptop': 1, 'cup': 1, 'chair': 1, 'bottle': 1, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 7}}, 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': 2, 'cell phone': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': 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': {'laptop': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 9: {'raw_counts': {'cup': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 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': 4, 'tie': 1, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 12: {'raw_counts': {'person': 4, 'chair': 2, 'tie': 1, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 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}}}
| 0.142507
|
[ 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=dH1SeHOpEO8
|
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 room with a cold, sterile light bathing everything in a blue-ish tint. A man in a casual button-down shirt is seated at a table, intently focused on writing. Around him, other figures are either working or standing, all seemingly absorbed in their own tasks. The camera shifts to a woman on the phone, her expression serious and focused. Next, a woman with curly hair is captured in close-up, her gaze intense and thoughtful. The view pans over a computer screen displaying an email inbox, then returns to the seated woman listening, as the lighting and focus shift subtly, emphasizing the dynamic of the interactions occurring.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 individuals in what appears to be a workplace setting, focused on activities such as writing, using a telephone, and working on computers. A pervasive blue tint casts a somber, almost sterile atmosphere over the entire scene.
|
scene_001_A_Mighty_Heart_(5_9)_Movie_CLIP_-_Veiled_Threats_(2007)_HD
| 4.480481
|
{'frame_00:00.png': 4.440642356872559, 'frame_00:01.png': 4.555189609527588, 'frame_00:02.png': 4.416356563568115, 'frame_00:03.png': 4.2374091148376465, 'frame_00:04.png': 3.9924464225769043, 'frame_00:05.png': 4.057771682739258, 'frame_00:06.png': 4.1955485343933105, 'frame_00:07.png': 4.338693618774414, 'frame_00:08.png': 4.666285514831543, 'frame_00:09.png': 4.472157955169678, 'frame_00:10.png': 4.198737621307373, 'frame_00:11.png': 4.953854084014893, 'frame_00:12.png': 4.632480621337891, 'frame_00:13.png': 4.953425407409668, 'frame_00:14.png': 5.096212863922119}
|
A_Mighty_Heart_(5_9)_Movie_CLIP_-_Veiled_Threats_(2007)_HD
| 0.07733
| 0.914836
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], '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>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 2.733333
| 2.266667
| 0
|
{0: {'raw_counts': {'person': 1, 'cup': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'bed': 1, 'cup': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}, 2: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 4: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 5: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 6: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 7: {'raw_counts': {'person': 6, 'chair': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 8: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 9: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}, 10: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 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': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}}
| 0.071591
|
[ 1 1 1 1 1 1 1 -1 -1 1 -1 1 1 -1 1 1 1 1 1 1 -1 1 1 -1
1 1]
|
https://youtube.com/watch?v=FEioKHlkczY
|
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
|
In a dimly lit room, a woman lies in bed, speaking intently on a phone; the scene is cast in a cool, blue tone, with a radio and glass of water on the nightstand beside her. Cut to a night-time street scene with a vehicle’s headlights piercing through the darkness, a billboard towering in the background. Finally, a group of men are escorted through a corridor by uniformed personnel, all under the same blue light, ending in a cramped room where a man with a mustache sits, appearing grave, while another man looks directly at the camera with a stark, challenging gaze.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
At night, a person is on the phone lying in bed, after which headlights and vehicles appear, with the final scene displaying people in a dark holding cell. The overall scenes have a dark, somber tone.
|
scene_001_A_Mighty_Heart_(6_9)_Movie_CLIP_-_Danny_Didn't_Make_It_(2007)_HD
| 4.70438
|
{'frame_00:00.png': 4.449901103973389, 'frame_00:01.png': 4.657142162322998, 'frame_00:02.png': 4.624487400054932, 'frame_00:03.png': 4.8417205810546875, 'frame_00:04.png': 4.810608386993408, 'frame_00:05.png': 5.001466751098633, 'frame_00:06.png': 4.437227725982666, 'frame_00:07.png': 4.292418479919434, 'frame_00:08.png': 4.863742351531982, 'frame_00:09.png': 4.7481865882873535, 'frame_00:10.png': 4.642040252685547, 'frame_00:11.png': 4.800276756286621, 'frame_00:12.png': 4.7300124168396, 'frame_00:13.png': 4.8990797996521, 'frame_00:14.png': 4.767386436462402}
|
A_Mighty_Heart_(6_9)_Movie_CLIP_-_Danny_Didn't_Make_It_(2007)_HD
| 0.148303
| 0
|
{'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>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], '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'}]}
| 2.2
| 2.066667
| 0.133333
|
{0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'bird': 1, 'cat': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 2, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'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, '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': 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': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 13: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 14: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}}
| 0.076017
|
[ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=DfcpuhTr8R0
|
scene_001
| 1
| 262
| 622
|
00:00:10.928
|
00:00:25.943
| 10.927594
| 25.942609
| 15.015015
| 10.927594
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 bathed in a blue hue, the camera focuses on two women standing side by side, their profiles turned towards the right. One woman has curly hair piled high on her head, while the other has straight hair. The woman with curly hair appears to be in distress, her expression conveying a mix of sorrow and fear. A man in glasses and a boy with his back turned approach the women. As the scene progresses, the camera zooms in on the face of the curly-haired woman, revealing a tearful expression. Through an open doorway, a soldier in uniform can be seen standing guard. The atmosphere is tense and somber, with the blue lighting adding to the sense of unease and emotional weight.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
Captured in a dimly lit and blue-tinted setting, a woman with curly hair is seen in profile, looking distressed with a uniformed figure visible in the background. The scene then shifts to include another woman and a man.
|
scene_001_A_Mighty_Heart_(8_9)_Movie_CLIP_-_Mariane's_Message_(2007)_HD
| 4.846859
|
{'frame_00:00.png': 5.167797088623047, 'frame_00:01.png': 5.141176223754883, 'frame_00:02.png': 5.16055965423584, 'frame_00:03.png': 4.719607353210449, 'frame_00:04.png': 4.539015769958496, 'frame_00:05.png': 4.94657564163208, 'frame_00:06.png': 5.050850868225098, 'frame_00:07.png': 4.918736457824707, 'frame_00:08.png': 4.554900646209717, 'frame_00:09.png': 4.885364532470703, 'frame_00:10.png': 4.788828372955322, 'frame_00:11.png': 4.572808742523193, 'frame_00:12.png': 4.757800102233887, 'frame_00:13.png': 4.7284159660339355, 'frame_00:14.png': 4.770449638366699}
|
A_Mighty_Heart_(8_9)_Movie_CLIP_-_Mariane's_Message_(2007)_HD
| -0.155618
| 0.238252
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<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>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.2
| 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, '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, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 6: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 9: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 10: {'raw_counts': {'person': 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}}}
| 0.126921
|
[ 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=bmdgHN34hnk
|
scene_001
| 1
| 191
| 551
|
00:00:07.966
|
00:00:22.981
| 7.9663
| 22.981315
| 15.015015
| 7.9663
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 glasses sits with his fingers over his mouth, listening to a curly haired woman who is in the middle of speaking. Another man with short hair sits next to her, facing toward the left with a neutral expression. The woman is looking forward, animated in her conversation. The lighting gives all three subjects a pale blue skin tone. The man with glasses appears thoughtful, while the man beside the woman looks stoic. After the woman finishes talking, the man with the glasses gives a very slight smile, listening intently to what she has to say. The woman continues speaking, her expression thoughtful.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
Captured in a dark blue hue, a man and a woman are shown in close-up; the man wears glasses and has his hand to his face in a thoughtful expression, while the woman looks on with a serious expression. The two subjects exude an aura of thoughtfulness and contemplation.
|
scene_001_A_Million_Ways_to_Die_in_the_West_(10_10)_Movie_CLIP_-_You_Really_Do_Have_a_Death_Wish_(2014)_HD
| 5.463223
|
{'frame_00:00.png': 5.430055618286133, 'frame_00:01.png': 5.701311111450195, 'frame_00:02.png': 5.526732921600342, 'frame_00:03.png': 5.521890640258789, 'frame_00:04.png': 5.5419416427612305, 'frame_00:05.png': 5.536811828613281, 'frame_00:06.png': 5.441708564758301, 'frame_00:07.png': 5.692413330078125, 'frame_00:08.png': 5.545617580413818, 'frame_00:09.png': 5.171384334564209, 'frame_00:10.png': 5.4616241455078125, 'frame_00:11.png': 5.411423683166504, 'frame_00:12.png': 5.33966588973999, 'frame_00:13.png': 5.379333019256592, 'frame_00:14.png': 5.246435642242432}
|
A_Million_Ways_to_Die_in_the_West_(10_10)_Movie_CLIP_-_You_Really_Do_Have_a_Death_Wish_(2014)_HD
| 0.006407
| 3.202654
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.266667
| 1.133333
| 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': 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': 1, 'bench': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 14: {'raw_counts': {'person': 1, 'bench': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}}
| 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=J4ciEVJMzIE
|
scene_001
| 1
| 41
| 401
|
00:00:01.710
|
00:00:16.725
| 1.710043
| 16.725058
| 15.015015
| 1.710043
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
In a stylized, desaturated Western scene, two figures face off in the middle of a dusty town street lined with wooden buildings. One figure, seen from the back and closer to the camera, stands with arms outstretched, a light hat on their head and a vest over their shirt, suggesting a gesture of surrender or openness. The second figure, positioned further down the street, stands in a dark coat and hat, hand hovering near a holstered gun. The figure in the distance draws his pistol and fires in slow motion, while the first figure flinches slightly as though shot. The shooter smiles. The first figure lowers his arms and looks down, as though confirming he has been hit. The scene concludes with close-ups on each character, their expressions conveying tension and anticipation.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
Two cowboys stand in a desert town, ready to duel, with one character surrendering by dropping his arms and the other firing a gun. The scene is captured with dramatic, stylized color grading.
|
scene_001_A_Million_Ways_to_Die_in_the_West_(1_10)_Movie_CLIP_-_Eddie's_Girl_(2014)_HD
| 5.113292
|
{'frame_00:00.png': 4.970149517059326, 'frame_00:01.png': 4.74897575378418, 'frame_00:02.png': 5.018817901611328, 'frame_00:03.png': 5.030076503753662, 'frame_00:04.png': 4.966187477111816, 'frame_00:05.png': 5.281371116638184, 'frame_00:06.png': 4.9636335372924805, 'frame_00:07.png': 5.19255256652832, 'frame_00:08.png': 5.252641201019287, 'frame_00:09.png': 5.008657455444336, 'frame_00:10.png': 5.370456695556641, 'frame_00:11.png': 5.1043853759765625, 'frame_00:12.png': 5.169188499450684, 'frame_00:13.png': 5.250824451446533, 'frame_00:14.png': 5.371460437774658}
|
A_Million_Ways_to_Die_in_the_West_(1_10)_Movie_CLIP_-_Eddie's_Girl_(2014)_HD
| -0.283273
| 3.307023
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], '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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left 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>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 6
| 1.266667
| 0.066667
|
{0: {'raw_counts': {'bottle': 10, 'person': 1, 'total': 11}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 10, 'total': 11}}, 1: {'raw_counts': {'person': 1, 'bottle': 11, 'total': 12}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 11, 'total': 12}}, 2: {'raw_counts': {'person': 1, 'bottle': 8, 'dining table': 1, 'total': 10}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 9, 'total': 10}}, 3: {'raw_counts': {'person': 1, 'bottle': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 4: {'raw_counts': {'person': 1, 'bottle': 3, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 5: {'raw_counts': {'person': 2, 'chair': 4, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 6: {'raw_counts': {'person': 1, 'bottle': 2, 'bench': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 7: {'raw_counts': {'person': 2, 'chair': 3, 'bench': 1, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 8: {'raw_counts': {'person': 2, 'chair': 1, 'bench': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 9: {'raw_counts': {'person': 2, 'chair': 3, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 10: {'raw_counts': {'person': 1, 'chair': 3, 'cat': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 11: {'raw_counts': {'person': 1, 'bottle': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 12: {'raw_counts': {'person': 1, 'bottle': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 13: {'raw_counts': {'person': 1, 'bottle': 4, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 14: {'raw_counts': {'person': 1, 'chair': 2, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 3}}}
| 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=wlwh5x9eHBM
|
scene_001
| 1
| 383
| 743
|
00:00:15.974
|
00:00:30.989
| 15.974308
| 30.989323
| 15.015015
| 15.974308
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 saloon, a woman in a dark, off-the-shoulder dress stands behind the bar, opening a bottle and taking a drink. The bar is lined with various bottles and glasses, and a picture hangs on the wall behind her. She gestures with her hand as she speaks. Across the room, a man sits on a bench, holding a bouquet of blue flowers. He looks towards the woman with a hopeful expression. The scene is heavy with a melancholy mood, emphasized by the blue lighting and quiet setting.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A blue-skinned woman in a vintage dress drinks at a bar, while a blue-skinned man waits on a bench with a bouquet of tulips. The scene is dimly lit, creating a somber and nostalgic atmosphere.
|
scene_001_A_Million_Ways_to_Die_in_the_West_(2_10)_Movie_CLIP_-_Ways_to_Die_(2014)_HD
| 4.964713
|
{'frame_00:00.png': 5.502179145812988, 'frame_00:01.png': 5.536498546600342, 'frame_00:02.png': 4.25382661819458, 'frame_00:03.png': 4.295490741729736, 'frame_00:04.png': 5.227704048156738, 'frame_00:05.png': 4.5449700355529785, 'frame_00:06.png': 5.244152545928955, 'frame_00:07.png': 4.370588779449463, 'frame_00:08.png': 4.669111251831055, 'frame_00:09.png': 5.066653728485107, 'frame_00:10.png': 5.230770587921143, 'frame_00:11.png': 5.167443752288818, 'frame_00:12.png': 4.9814534187316895, 'frame_00:13.png': 5.191328048706055, 'frame_00:14.png': 5.1885271072387695}
|
A_Million_Ways_to_Die_in_the_West_(2_10)_Movie_CLIP_-_Ways_to_Die_(2014)_HD
| -0.045353
| 0.354322
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side 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, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], '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, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 6
| 5.6
| 0
|
{0: {'raw_counts': {'person': 4, 'tie': 1, 'bottle': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 1: {'raw_counts': {'person': 4, 'tie': 1, 'bottle': 1, 'total': 6}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 6}}, 2: {'raw_counts': {'person': 3, 'chair': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 3: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 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': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 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': 7, 'tie': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 8: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 9: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 10: {'raw_counts': {'person': 9, 'total': 9}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 11: {'raw_counts': {'person': 8, 'total': 8}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 8}}, 12: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 13: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 14: {'raw_counts': {'person': 5, 'total': 5}, 'bucketed_counts': {'humans': 5, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 5}}}
| 0.032197
|
[ 1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=vRXk74BCp-Q
|
scene_001
| 1
| 462
| 822
|
00:00:19.269
|
00:00:34.284
| 19.269269
| 34.284284
| 15.015015
| 19.269269
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 saloon, a woman in a blue dress stands between two men at a table, gazing forward with a concerned expression. The lighting casts a blue hue over everyone in the scene. Behind them, a window reflects a man in a suit. The camera then shifts to a wider shot, revealing a man in a vest speaking animatedly, gesturing with his hands. He is surrounded by a crowded saloon with figures in hats and period clothing, all bathed in the same blue light. The man's expression changes from surprise to concern as he continues to speak. Finally, the camera focuses on him as he continues his dialogue in the lively saloon.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The scene unfolds inside a dimly lit saloon, bathed in blue light, where a small group is gathered around a table. A crowd of people mills about in the background as a man turns to speak, his face reflecting a mix of surprise and intrigue.
|
scene_001_A_Million_Ways_to_Die_in_the_West_(3_10)_Movie_CLIP_-_Things_Could_Be_a_Lot_Worse_(2014)_HD
| 4.942413
|
{'frame_00:00.png': 5.111536026000977, 'frame_00:01.png': 5.055477142333984, 'frame_00:02.png': 4.827847957611084, 'frame_00:03.png': 5.002962112426758, 'frame_00:04.png': 5.057624816894531, 'frame_00:05.png': 4.19111442565918, 'frame_00:06.png': 4.648996829986572, 'frame_00:07.png': 4.904367446899414, 'frame_00:08.png': 5.0560302734375, 'frame_00:09.png': 5.1040873527526855, 'frame_00:10.png': 5.114892482757568, 'frame_00:11.png': 4.866727352142334, 'frame_00:12.png': 4.844110488891602, 'frame_00:13.png': 5.238277435302734, 'frame_00:14.png': 5.112144947052002}
|
A_Million_Ways_to_Die_in_the_West_(3_10)_Movie_CLIP_-_Things_Could_Be_a_Lot_Worse_(2014)_HD
| 0.083295
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{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<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>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
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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=k-m4QOtv-rQ
|
scene_001
| 1
| 40
| 400
|
00:00:01.668
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00:00:16.683
| 1.668335
| 16.68335
| 15.015015
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|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 lit with a predominantly blue hue, creating a somber mood. An elderly couple sits indoors, the woman in a bonnet and patterned dress, sewing, while the man reads a document. The room has wooden plank walls and a basic wooden table with a bowl of blue-tinged food and various dishes. A younger man appears, his skin also colored blue, as he enters the room through a doorway. He looks around the room, appearing slightly surprised. The camera focuses on the bowl of food, highlighting the unusual blue color. Then, the shot returns to the couple who are now seated near a rock fireplace with a simple wooden table. The younger man is seen again near a doorway that has some coats hanging 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
|
An elderly couple sit in a rustic kitchen, while a man enters the room, all cast in cool blue lighting. The scene transitions to show a close-up of blue-tinged bread and other kitchen items, emphasizing the unique color scheme.
|
scene_001_A_Million_Ways_to_Die_in_the_West_(4_10)_Movie_CLIP_-_That's_a_Dollar_Bill!_(2014)_HD
| 5.461318
|
{'frame_00:00.png': 5.8420610427856445, 'frame_00:01.png': 5.221593379974365, 'frame_00:02.png': 5.287178993225098, 'frame_00:03.png': 5.177678108215332, 'frame_00:04.png': 5.792966842651367, 'frame_00:05.png': 5.749080657958984, 'frame_00:06.png': 5.327550411224365, 'frame_00:07.png': 5.320550918579102, 'frame_00:08.png': 5.418966293334961, 'frame_00:09.png': 5.525357246398926, 'frame_00:10.png': 5.616366386413574, 'frame_00:11.png': 5.258066177368164, 'frame_00:12.png': 5.452919960021973, 'frame_00:13.png': 5.699625015258789, 'frame_00:14.png': 5.229806900024414}
|
A_Million_Ways_to_Die_in_the_West_(4_10)_Movie_CLIP_-_That's_a_Dollar_Bill!_(2014)_HD
| 0.556791
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|
{'frame_00:00.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}]}
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| 0
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| 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=oTx_o5B0J1Q
|
scene_001
| 1
| 43
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|
00:00:01.793
|
00:00:16.808
| 1.79346
| 16.808475
| 15.015015
| 1.79346
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The scene unfolds with a dramatic blue filter, showcasing a crowd of people gathered at what appears to be an outdoor fair. A woman with long, blonde hair and a matching blue hat engages in conversation with a man sporting a suit, tie, and a distinctive mustache, his face also tinted blue. The camera captures their interaction from various angles, emphasizing their facial expressions and gestures. As the scene progresses, the camera widens to reveal more of the crowd, with additional people wearing hats and period clothing. The background displays tents and signage, adding to the setting of a historical fair or carnival. The overall composition maintains a focus on the foreground characters while providing glimpses of the surrounding crowd and environment.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A crowd of people stands together, their skin and clothes tinted in shades of blue, as two individuals engage in an intense conversation, their faces conveying a mixture of concern and determination. Captured in a stylized manner, the scene evokes a sense of surreal drama amidst the bustling crowd.
|
scene_001_A_Million_Ways_to_Die_in_the_West_(8_10)_Movie_CLIP_-_Eddie's_First_Time_(2014)_HD
| 4.967528
|
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|
A_Million_Ways_to_Die_in_the_West_(8_10)_Movie_CLIP_-_Eddie's_First_Time_(2014)_HD
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{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Side light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}]}
| 2.466667
| 1.866667
| 0
|
{0: {'raw_counts': {'person': 2, 'bed': 2, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 1: {'raw_counts': {'person': 2, 'bed': 2, 'chair': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 2: {'raw_counts': {'person': 2, 'bowl': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 3: {'raw_counts': {'person': 2, 'bed': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'bowl': 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': 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': 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}}}
| 0.059295
|
[ 1 1 1 1 1 1 1 -1 1 1 -1 1 1 -1 1 -1 1 1 1 1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=FHL1AJ0wbck
|
scene_001
| 1
| 41
| 401
|
00:00:01.710
|
00:00:16.725
| 1.710043
| 16.725058
| 15.015015
| 1.710043
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A spectral woman stands facing a pale man sitting on a bed in a dimly lit room. The blue-tinted light creates a ghostly ambiance. The man is wearing a white tank top and looks up at the woman with a mix of anticipation and nervousness. The woman, dressed in a long, flowing gown, is seen smiling slightly, her dark hair cascading down her back. The camera shifts focus between the two figures as they engage in a hushed conversation. The room is sparsely furnished, with a small bedside table, a vintage lantern, and a rustic wooden chair visible in the background, all contributing to the eerie atmosphere. The scene carries a sense of mystery and anticipation. The woman turns and walks away leaving the man sitting on the bed.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
In a dimly lit room, a woman in period clothing stands before a man sitting on a bed, both figures bathed in a cool, bluish light. Their interaction appears tense and intimate amidst the vintage furnishings.
|
scene_001_A_Nightmare_on_Elm_Street_#1_Movie_CLIP_-_You're_Dreaming,_But_You_Don't_Know_It_(2010)_HD
| 4.543848
|
{'frame_00:00.png': 3.5330166816711426, 'frame_00:01.png': 4.2042388916015625, 'frame_00:02.png': 4.182448387145996, 'frame_00:03.png': 4.411069393157959, 'frame_00:04.png': 4.44055700302124, 'frame_00:05.png': 4.781669616699219, 'frame_00:06.png': 5.059347152709961, 'frame_00:07.png': 4.955219745635986, 'frame_00:08.png': 4.757631301879883, 'frame_00:09.png': 4.937850475311279, 'frame_00:10.png': 5.083647727966309, 'frame_00:11.png': 3.970470428466797, 'frame_00:12.png': 3.9529409408569336, 'frame_00:13.png': 4.566797256469727, 'frame_00:14.png': 5.320813179016113}
|
A_Nightmare_on_Elm_Street_#1_Movie_CLIP_-_You're_Dreaming,_But_You_Don't_Know_It_(2010)_HD
| 0.484564
| 3.436378
|
{'frame_00:00.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:13.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.6
| 1.6
| 0
|
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| 0.108883
|
[ 1 1 1 1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 1 1 1 1 1 1 1 1
1 1]
|
https://youtube.com/watch?v=JWGVdLHio5g
|
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
|
The scene opens with an open book displaying an illustration of the Pied Piper followed by a multitude of people walking behind him. The camera then cuts to a young man with curly hair wearing an olive-colored button-down shirt, looking down with a serious expression. Next, a young woman with long hair in a tan leather jacket is shown looking down and to the left. The shot then shows the cover of the book titled "The Pied Piper Children's Storybook." The scene concludes with a close-up of the young man, still wearing the olive-colored shirt, with an intense expression as he looks upward, his face bathed in cool blue lighting.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A storybook displaying an image of the Pied Piper is opened, leading the young people who are standing behind a table, shot with dramatic blue lighting, to look somber. The storybook is then closed by a person whose face is not shown.
|
scene_001_A_Nightmare_on_Elm_Street_#2_Movie_CLIP_-_Won't_Happen_Again_(2010)_HD
| 4.505521
|
{'frame_00:00.png': 4.589889049530029, 'frame_00:01.png': 4.517857074737549, 'frame_00:02.png': 5.185507774353027, 'frame_00:03.png': 5.142042636871338, 'frame_00:04.png': 4.02186918258667, 'frame_00:05.png': 4.285295486450195, 'frame_00:06.png': 4.985630035400391, 'frame_00:07.png': 5.221797943115234, 'frame_00:08.png': 4.328396320343018, 'frame_00:09.png': 3.930006504058838, 'frame_00:10.png': 4.565001964569092, 'frame_00:11.png': 4.493320941925049, 'frame_00:12.png': 3.77130126953125, 'frame_00:13.png': 3.5514345169067383, 'frame_00:14.png': 4.993471145629883}
|
A_Nightmare_on_Elm_Street_#2_Movie_CLIP_-_Won't_Happen_Again_(2010)_HD
| -0.07397
| 1.662674
|
{'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Mixed, Saturated, Yellow'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:04.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:06.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Yellow'}, {'<LIGHTING>': 'High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Mixed, Saturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:14.png': [{'<COLOR>': 'Mixed, Saturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 0.866667
| 0.6
| 0
|
{0: {'raw_counts': {'train': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'train': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 3: {'raw_counts': {'person': 1, 'cell phone': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 4: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 5: {'raw_counts': {'cup': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 10: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 11: {'raw_counts': {'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}}}
| 0.01698
|
[-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=1QjC0jXb-9k
|
scene_001
| 1
| 71
| 431
|
00:00:02.961
|
00:00:17.976
| 2.961295
| 17.97631
| 15.015015
| 2.961295
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The scene unfolds within a dimly lit, industrial kitchen, characterized by stark blue lighting. The camera pans across a stainless steel counter, revealing pots and pans filled with an indistinct substance, accompanied by bursts of flame. A man with a concerned expression walks into the frame, his features highlighted by the intense blue light. As he moves, the camera offers glimpses of a meat rack. Subsequently, the camera shifts its focus to a table bearing a severed animal head. The lighting casts deep shadows, enhancing the eerie atmosphere of the kitchen.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 dark and eerie restaurant kitchen, a man surveys his surroundings, which include bloody animal parts and pots on fire. He appears concerned as he gazes around the room in blue lighting.
|
scene_001_A_Nightmare_on_Elm_Street_#3_Movie_CLIP_-_Grocery_Store_Nightmare_(2010)_HD
| 4.799463
|
{'frame_00:00.png': 5.189813137054443, 'frame_00:01.png': 5.220559597015381, 'frame_00:02.png': 5.058792591094971, 'frame_00:03.png': 5.037928104400635, 'frame_00:04.png': 5.225427627563477, 'frame_00:05.png': 5.310805320739746, 'frame_00:06.png': 5.162967681884766, 'frame_00:07.png': 4.239789962768555, 'frame_00:08.png': 4.678124904632568, 'frame_00:09.png': 4.993430137634277, 'frame_00:10.png': 4.591726779937744, 'frame_00:11.png': 4.089098930358887, 'frame_00:12.png': 4.538924694061279, 'frame_00:13.png': 4.33677864074707, 'frame_00:14.png': 4.317783355712891}
|
A_Nightmare_on_Elm_Street_#3_Movie_CLIP_-_Grocery_Store_Nightmare_(2010)_HD
| 0.195925
| 0.397546
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Mixed, Saturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:09.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:10.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 1.533333
| 1.4
| 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': {'tie': 1, 'person': 3, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 4: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 5: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 6: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 7: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 8: {'raw_counts': {'person': 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, 'car': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 14: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}}
| 0.072768
|
[ 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 1 1 1 1 -1 -1 1 1 1
1 1]
|
https://youtube.com/watch?v=JMt6zz_dYWI
|
scene_001
| 1
| 106
| 466
|
00:00:04.421
|
00:00:19.436
| 4.421088
| 19.436103
| 15.015015
| 4.421088
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 scene bathed in a bluish-yellow light, a young man with tousled hair and glowing eyes engages in a conversation with an older man wearing a white lab coat. The older man, with a neatly trimmed mustache and tie, listens intently. The setting appears to be within a store, evidenced by shelves filled with various products in the background. As the conversation ends, the young man walks away down an aisle, followed by a young woman with dark hair. She looks distressed, her expression a mix of worry and fear, as she navigates through the brightly stocked aisles of the store.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The scene shows two people speaking to each other in a fluorescent-lit store, followed by a woman walking down an aisle with a concerned expression. The scene has an eerie, otherworldly atmosphere due to the unusual blue-tinted lighting and color grading.
|
scene_001_A_Nightmare_on_Elm_Street_(2010)_-_Bathtime_Terror_Scene_(5_9)_|_Movieclips
| 4.74698
|
{'frame_00:00.png': 3.9147934913635254, 'frame_00:01.png': 4.292044639587402, 'frame_00:02.png': 4.183112144470215, 'frame_00:03.png': 4.80517578125, 'frame_00:04.png': 4.9208197593688965, 'frame_00:05.png': 4.896999359130859, 'frame_00:06.png': 4.853923797607422, 'frame_00:07.png': 4.802188396453857, 'frame_00:08.png': 5.014801025390625, 'frame_00:09.png': 4.916982650756836, 'frame_00:10.png': 5.229715824127197, 'frame_00:11.png': 5.073180675506592, 'frame_00:12.png': 4.7191243171691895, 'frame_00:13.png': 4.7888994216918945, 'frame_00:14.png': 4.792935848236084}
|
A_Nightmare_on_Elm_Street_(2010)_-_Bathtime_Terror_Scene_(5_9)_|_Movieclips
| 0.041125
| 1.355579
|
{'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}]}
| 2.533333
| 1.6
| 0.066667
|
{0: {'raw_counts': {'cell phone': 1, 'tv': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 2}}, 1: {'raw_counts': {'tv': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 2: {'raw_counts': {'cell phone': 1, 'tv': 1, 'total': 2}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 2}}, 3: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 4: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, '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': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 7: {'raw_counts': {'person': 3, 'total': 3}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 8: {'raw_counts': {'person': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 9: {'raw_counts': {'person': 2, 'baseball bat': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 10: {'raw_counts': {'person': 1, 'bottle': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 11: {'raw_counts': {'bottle': 1, 'person': 1, 'bird': 1, 'total': 3}, 'bucketed_counts': {'humans': 1, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 12: {'raw_counts': {'bottle': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 13: {'raw_counts': {'person': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 14: {'raw_counts': {'person': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, '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=PQ3Qc8bOqlY
|
scene_001
| 1
| 188
| 548
|
00:00:07.841
|
00:00:22.856
| 7.841175
| 22.85619
| 15.015015
| 7.841175
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 is sitting in a bathtub with a phone, the screen of the phone is showing the 'Alarm Clock' screen, and then the 'Alarm Details' screen with the details 'Name', 'Time', 'Alert Classic' and 'Volume: 4'. The lighting is dark and blue, suggesting a somber mood as the person continues to sit in the bathtub. The composition suggests the person is alone, lost in thought. There's a shelf with various bathroom items on the edge of the tub. The camera then shows the person's face in close-up. The person seems to be resting with their eyes closed.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 phone alarm clock is featured followed by a woman submerged in a bathtub while using her phone. The scene is bathed in a cool, bluish light, casting shadows and creating a contemplative atmosphere.
|
scene_001_A_Perfect_Murder_(1998)_-_Nice_to_Meet_You_Scene_(1_9)_|_Movieclips
| 5.180817
|
{'frame_00:00.png': 5.265560626983643, 'frame_00:01.png': 5.193913459777832, 'frame_00:02.png': 5.165521621704102, 'frame_00:03.png': 5.090679168701172, 'frame_00:04.png': 5.3606414794921875, 'frame_00:05.png': 5.150116920471191, 'frame_00:06.png': 5.126490592956543, 'frame_00:07.png': 5.135034561157227, 'frame_00:08.png': 5.209324359893799, 'frame_00:09.png': 5.129075050354004, 'frame_00:10.png': 5.166232585906982, 'frame_00:11.png': 4.901190280914307, 'frame_00:12.png': 5.142238616943359, 'frame_00:13.png': 5.127462863922119, 'frame_00:14.png': 5.300896167755127, 'frame_00:15.png': 5.245876789093018, 'frame_00:16.png': 5.132437705993652, 'frame_00:17.png': 5.3037519454956055, 'frame_00:18.png': 5.290406227111816, 'frame_00:19.png': 5.159092903137207, 'frame_00:20.png': 5.191780090332031, 'frame_00:21.png': 5.190256118774414}
|
A_Perfect_Murder_(1998)_-_Nice_to_Meet_You_Scene_(1_9)_|_Movieclips
| -0.039249
| 0.571817
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Desaturated'}, {'<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>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:15.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:16.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:17.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:18.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:19.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:20.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:21.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}]}
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| 0.112477
|
[ 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=JanwLiyFPAU
|
scene_001
| 1
| 273
| 800
|
00:00:11.386
|
00:00:33.367
| 11.386386
| 33.3667
| 21.980314
| 11.386386
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 and a man, illuminated in blue lighting, are shown indoors. Initially, both face forward with downcast gazes. Gradually, the man turns his head to the left while the woman lifts her head and turns slightly to the right. As she turns, a faint smile graces her face. The man then looks more intently at the woman, his expression subtle and engaging. Both of them become more clearly visible as they turn towards one another, seemingly immersed in a private moment or conversation. The scene is softly lit, emphasizing the gentle unfolding of interaction and connection between them.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A woman in a black dress and diamond necklace walks alongside a man in a dark jacket; the two pause as she looks at him and smiles, bathed in blue lighting. The pair share a moment of connection within a dimly lit, modern space that exudes a subdued yet elegant atmosphere.
|
scene_001_A_Perfect_Murder_(1998)_-_Planning_the_Murder_Scene_(3_9)_|_Movieclips
| 4.530128
|
{'frame_00:00.png': 4.431047439575195, 'frame_00:01.png': 4.054691314697266, 'frame_00:02.png': 4.553772449493408, 'frame_00:03.png': 4.684695720672607, 'frame_00:04.png': 4.794792652130127, 'frame_00:05.png': 4.562271595001221, 'frame_00:06.png': 4.932737350463867, 'frame_00:07.png': 4.733933448791504, 'frame_00:08.png': 4.757834434509277, 'frame_00:09.png': 4.865628719329834, 'frame_00:10.png': 4.8539958000183105, 'frame_00:11.png': 5.009878635406494, 'frame_00:12.png': 3.9020862579345703, 'frame_00:13.png': 4.3704705238342285, 'frame_00:14.png': 3.444088935852051}
|
A_Perfect_Murder_(1998)_-_Planning_the_Murder_Scene_(3_9)_|_Movieclips
| -0.410764
| 0.459891
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:02.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:04.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:06.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:07.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:10.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:11.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:12.png': [{'<COLOR>': 'Cool, Desaturated, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 1.666667
| 1.666667
| 0
|
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| 0.029508
|
[-1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 1 1 -1 -1 1 1 -1
-1 1]
|
https://youtube.com/watch?v=5cbim7n9ARs
|
scene_001
| 1
| 553
| 913
|
00:00:23.065
|
00:00:38.080
| 23.064731
| 38.079746
| 15.015015
| 23.064731
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The scene unfolds in a dimly lit hallway, where two men are walking, their backs turned to the camera. They approach a cage-like elevator, where the first man stops and turns to face the second. They stand close, their faces just inches apart, engaged in a tense conversation, with the first man gesturing with his fingers. The second man listens intently, his expression unreadable. As the scene progresses, a woman enters the frame, joining the two men. The first man then walks away, his hand gliding along a pipe attached to the wall, before he turns a corner and disappears from view, leaving the second man and woman behind.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions 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 individuals stand in a dimly lit hallway, engaging in a tense discussion while another person walks by. One of the individuals then touches a pipe on the wall, captured in a close-up.
|
scene_001_A_Perfect_Murder_(1998)_-_Steven's_Story_Scene_(6_9)_|_Movieclips
| 4.904397
|
{'frame_00:00.png': 4.85993766784668, 'frame_00:01.png': 4.914923191070557, 'frame_00:02.png': 4.907700538635254, 'frame_00:03.png': 4.7845940589904785, 'frame_00:04.png': 4.863422870635986, 'frame_00:05.png': 5.361636161804199, 'frame_00:06.png': 4.801278114318848, 'frame_00:07.png': 5.195967674255371, 'frame_00:08.png': 5.072535037994385, 'frame_00:09.png': 4.61357307434082, 'frame_00:10.png': 4.649188995361328, 'frame_00:11.png': 4.775712966918945, 'frame_00:12.png': 4.668654441833496, 'frame_00:13.png': 4.878824234008789, 'frame_00:14.png': 5.2180070877075195}
|
A_Perfect_Murder_(1998)_-_Steven's_Story_Scene_(6_9)_|_Movieclips
| -0.157297
| 1.791939
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:03.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], '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>': 'Mixed, Cyan'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Mixed, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Mixed, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}]}
| 5.933333
| 1.066667
| 0
|
{0: {'raw_counts': {'chair': 1, 'potted plant': 2, 'vase': 1, 'couch': 1, 'cup': 1, 'total': 6}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 6, 'total': 6}}, 1: {'raw_counts': {'potted plant': 1, 'person': 1, 'chair': 2, 'couch': 1, 'vase': 1, 'dining table': 1, 'cup': 1, 'total': 8}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 7, 'total': 8}}, 2: {'raw_counts': {'chair': 2, 'potted plant': 2, 'vase': 1, 'dining table': 1, 'couch': 1, 'book': 1, 'total': 8}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 8, 'total': 8}}, 3: {'raw_counts': {'chair': 2, 'potted plant': 3, 'couch': 1, 'vase': 1, 'dining table': 1, 'book': 1, 'total': 9}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 9, 'total': 9}}, 4: {'raw_counts': {'chair': 2, 'potted plant': 3, 'couch': 1, 'vase': 1, 'dining table': 1, 'tv': 1, 'total': 9}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 9, 'total': 9}}, 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, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 9: {'raw_counts': {'chair': 3, 'person': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 10: {'raw_counts': {'chair': 2, 'person': 1, 'tv': 1, 'dining table': 1, 'total': 5}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 5}}, 11: {'raw_counts': {'chair': 6, 'tv': 1, 'person': 1, 'dining table': 1, 'total': 9}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 8, 'total': 9}}, 12: {'raw_counts': {'tv': 1, 'chair': 2, 'person': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 13: {'raw_counts': {'person': 1, 'chair': 2, 'tv': 2, 'laptop': 1, 'total': 6}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 5, 'total': 6}}, 14: {'raw_counts': {'person': 1, 'tie': 1, 'chair': 2, 'vase': 4, 'tv': 1, 'total': 9}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 8, 'total': 9}}}
| 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=H7zXX6EqGbI
|
scene_001
| 1
| 68
| 428
|
00:00:02.836
|
00:00:17.851
| 2.83617
| 17.851185
| 15.015015
| 2.83617
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The scene begins with a partially silhouetted figure entering a high-rise office, the interior bathed in a cool, blue light. Dominating the room is a large desk where a woman sits, surrounded by computer screens displaying data and family photos. The office space includes modern art pieces, a sleek sofa, and a panoramic city view visible through the large window. The entering figure, carrying a shopping bag, walks further into the room, his face now illuminated, revealing a look of concern. The camera then focuses on the man's face in close-up, his expression conveying tension and apprehension, before returning to show him walking towards the seated woman, bag in hand, under the room's pervasive blue lighting.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A person enters a blue-toned office where another figure sits at a desk with multiple computer screens and various desk items, ultimately leading to a close-up shot of the entering person's face. The scene maintains an eerie atmosphere due to the monochromatic color scheme and the actions that unfold.
|
scene_001_A_Perfect_Murder_(1998)_-__Lies_Scene_(7_9)_|_Movieclips
| 4.862328
|
{'frame_00:00.png': 5.034271717071533, 'frame_00:01.png': 4.679410934448242, 'frame_00:02.png': 5.286803722381592, 'frame_00:03.png': 4.662693977355957, 'frame_00:04.png': 4.568928241729736, 'frame_00:05.png': 4.975430011749268, 'frame_00:06.png': 4.953811168670654, 'frame_00:07.png': 5.068486213684082, 'frame_00:08.png': 5.022202491760254, 'frame_00:09.png': 5.030539512634277, 'frame_00:10.png': 5.133524417877197, 'frame_00:11.png': 4.535511016845703, 'frame_00:12.png': 4.606167793273926, 'frame_00:13.png': 4.689805030822754, 'frame_00:14.png': 4.687326431274414}
|
A_Perfect_Murder_(1998)_-__Lies_Scene_(7_9)_|_Movieclips
| -0.012312
| 0.618311
|
{'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial 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>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:03.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top 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>': 'Left heavy'}], 'frame_00:05.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:08.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:09.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:13.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:14.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}]}
| 1.533333
| 1.466667
| 0.066667
|
{0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': 2, 'dog': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, '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': 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': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 13: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 14: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}}
| 0.116457
|
[ 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=TMeiAg1kXKs
|
scene_001
| 1
| 78
| 438
|
00:00:03.253
|
00:00:18.268
| 3.253253
| 18.268268
| 15.015015
| 3.253253
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
In a dimly lit setting, a middle-aged individual with a bluish complexion and graying hair engages in a close conversation with a younger, similarly complexioned person. The camera focuses intently on the older figure as they speak, their expression shifting from contemplative to slightly surprised. The younger individual, also blue-skinned, listens with a concerned expression, their gaze fixed on the speaker. The close-up shots highlight the subtle nuances of their facial expressions and the intensity of their interaction, with dramatic lighting accentuating the contours of their faces and adding to the somber atmosphere 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 is captured in close-up, engaged in a conversation with another blue-skinned individual, followed by a shot of a blue-skinned woman who is listening intently. The scene is bathed in cool, blue lighting, emphasizing the otherworldly appearance of the subjects.
|
scene_001_A_Perfect_Murder_-_Strangers_on_a_Train_(2_10)_Movie_CLIP_(1951)_HD
| 5.154841
|
{0: 5.124266147613525, 1: 4.984279155731201, 2: 5.271123886108398, 3: 5.252419948577881, 4: 5.146285057067871, 5: 5.206380844116211, 6: 4.979637145996094, 7: 5.139932632446289, 8: 5.177921295166016, 9: 5.269181728363037, 10: 5.192501068115234, 11: 5.009618759155273, 12: 5.117423057556152, 13: 5.208434581756592, 14: 5.243209362030029}
|
A_Perfect_Murder_-_Strangers_on_a_Train_(2_10)_Movie_CLIP_(1951)_HD
| -0.201353
| 4.235098
|
{0: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 1: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 2: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 3: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 4: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 5: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 6: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 7: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 8: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 9: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 10: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 11: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 12: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 13: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 14: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 4.466667
| 2.066667
| 0
|
{0: {'raw_counts': {'person': 2, 'cup': 2, 'tie': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 1: {'raw_counts': {'person': 2, 'tie': 1, 'cup': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 2: {'raw_counts': {'person': 2, 'tie': 1, 'cup': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 3: {'raw_counts': {'person': 2, 'tie': 1, 'bottle': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 4: {'raw_counts': {'person': 2, 'tie': 1, 'bottle': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 5: {'raw_counts': {'person': 3, 'tie': 1, 'bottle': 1, 'total': 5}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 5}}, 6: {'raw_counts': {'person': 2, 'tie': 1, 'cup': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 7: {'raw_counts': {'person': 2, 'tie': 1, 'wine glass': 1, 'cup': 2, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 8: {'raw_counts': {'person': 2, 'tie': 1, 'cup': 2, 'chair': 1, 'total': 6}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 6}}, 9: {'raw_counts': {'person': 2, 'tie': 1, 'cup': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 10: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 11: {'raw_counts': {'person': 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}}}
| 0.084664
|
[ 1 1 1 -1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 1 1 1 -1 1 1 -1
1 1]
|
https://youtube.com/watch?v=SMQ6aga9mI0
|
scene_001
| 1
| 117
| 477
|
00:00:04.880
|
00:00:19.895
| 4.87988
| 19.894895
| 15.015015
| 4.87988
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will 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 in suits engage in a serious discussion at a table set with tea service. The first man, seated with his face towards the camera, speaks with a concerned expression. The scene then shifts to focus on the second man, who is standing, listening intently, his expressions changing from neutral to surprised and back again. The camera alternates between the two, capturing their conversation and reactions as they interact in the scene.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
Two men in suits are engaged in conversation in a tight space, their expressions suggesting a mix of seriousness and mild surprise. They are surrounded by minimal furnishings.
|
scene_001_A_Persistent_Cuss_-_The_Man_Who_Shot_Liberty_Valance_(4_7)_Movie_CLIP_(1962)_HD
| 4.802617
|
{0: 4.4390058517456055, 1: 4.4554853439331055, 2: 4.417453289031982, 3: 4.570979595184326, 4: 4.428109169006348, 5: 5.172304153442383, 6: 4.326380729675293, 7: 4.217804431915283, 8: 4.291392803192139, 9: 4.703413486480713, 10: 5.251599311828613, 11: 5.263509273529053, 12: 5.558585166931152, 13: 5.465581893920898, 14: 5.477643013000488}
|
A_Persistent_Cuss_-_The_Man_Who_Shot_Liberty_Valance_(4_7)_Movie_CLIP_(1962)_HD
| 0.154076
| 0.966024
|
{0: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 1: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 2: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 3: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 4: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 5: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 6: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 7: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 8: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 9: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 10: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 11: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 12: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 13: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 14: [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}]}
| 3.6
| 1.8
| 0
|
{0: {'raw_counts': {'bottle': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 1: {'raw_counts': {'bottle': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 2: {'raw_counts': {'bottle': 1, 'total': 1}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 1}}, 3: {'raw_counts': {'person': 1, 'bottle': 2, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 4}}, 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': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 6: {'raw_counts': {'person': 3, 'bottle': 4, 'total': 7}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 7}}, 7: {'raw_counts': {'person': 4, 'bottle': 3, 'total': 7}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 7}}, 8: {'raw_counts': {'person': 4, 'bottle': 1, 'total': 5}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 5}}, 9: {'raw_counts': {'person': 3, 'bottle': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 10: {'raw_counts': {'person': 2, 'bottle': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 11: {'raw_counts': {'person': 1, 'bottle': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 12: {'raw_counts': {'person': 2, 'bottle': 1, 'cup': 1, 'total': 4}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 4}}, 13: {'raw_counts': {'person': 2, 'bottle': 2, 'cup': 1, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}, 14: {'raw_counts': {'person': 2, 'cup': 1, 'bottle': 2, 'total': 5}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 5}}}
| 0.097716
|
[ 1 1 1 -1 1 1 1 -1 -1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1
1 1]
|
https://youtube.com/watch?v=U49MXakb7f4
|
scene_001
| 1
| 43
| 403
|
00:00:01.793
|
00:00:16.808
| 1.79346
| 16.808475
| 15.015015
| 1.79346
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
The scene opens with a close-up on a wooden sign that reads "Ransom Stoddard Attorney at Law," displayed on a shelf cluttered with books and office supplies, illuminated by a flickering oil lamp. The shot then transitions to a medium shot of a man in a cowboy hat and suit, his face expressing a mix of amusement and concern, as he engages in conversation with another man wearing an apron, his face displaying a look of frustration and resignation, and a bandage visible on his forehead. The cowboy leans in slightly as he speaks, while the man in the apron stands rigidly. The camera focuses on the expressions of both men, emphasizing the tension and conflicting emotions between them. The scene is lit with a classic black and white aesthetic, enhancing the mood and the drama 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
|
In a Western setting, two men have a tense conversation after one is shown cleaning dishes, with a shelf marked "Attorney at Law" visible in the background. The scene is presented in black and white with dramatic lighting, creating a serious mood.
|
scene_001_A_Quiet_Place_Part_II_(2021)_-_The_First_Alien_Attack_Scene_(1_10)_|_Movieclips
| 4.76537
|
{'frame_00:00.png': 4.436446666717529, 'frame_00:01.png': 4.801752090454102, 'frame_00:02.png': 5.1133904457092285, 'frame_00:03.png': 4.57210111618042, 'frame_00:04.png': 4.647052764892578, 'frame_00:05.png': 4.844149112701416, 'frame_00:06.png': 4.607322692871094, 'frame_00:07.png': 4.839127540588379, 'frame_00:08.png': 4.519441604614258, 'frame_00:09.png': 4.895466327667236, 'frame_00:10.png': 5.275577545166016, 'frame_00:11.png': 5.361693859100342, 'frame_00:12.png': 4.337949752807617, 'frame_00:13.png': 4.358242988586426, 'frame_00:14.png': 4.870838642120361}
|
A_Quiet_Place_Part_II_(2021)_-_The_First_Alien_Attack_Scene_(1_10)_|_Movieclips
| 0.037877
| 2.563895
|
{'frame_00:00.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>': 'Warm, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:03.png': [{'<COLOR>': 'Red, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:04.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:05.png': [{'<COLOR>': 'Red, Green, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:06.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:07.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:08.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:09.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:10.png': [{'<COLOR>': 'Red, Green, Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:11.png': [{'<COLOR>': 'Green, Cyan, Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:12.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:13.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:14.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}]}
| 13.333333
| 11.2
| 0
|
{0: {'raw_counts': {'person': 10, 'total': 10}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 10}}, 1: {'raw_counts': {'person': 14, 'car': 1, 'total': 15}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 15}}, 2: {'raw_counts': {'person': 9, 'total': 9}, 'bucketed_counts': {'humans': 9, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 9}}, 3: {'raw_counts': {'person': 11, 'umbrella': 2, 'total': 13}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 13}}, 4: {'raw_counts': {'person': 11, 'umbrella': 2, 'tie': 1, 'total': 14}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 14}}, 5: {'raw_counts': {'person': 10, 'car': 2, 'total': 12}, 'bucketed_counts': {'humans': 10, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 12}}, 6: {'raw_counts': {'person': 7, 'car': 3, 'total': 10}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 10}}, 7: {'raw_counts': {'person': 8, 'car': 2, 'total': 10}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 10}}, 8: {'raw_counts': {'person': 8, 'car': 3, 'total': 11}, 'bucketed_counts': {'humans': 8, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 11}}, 9: {'raw_counts': {'person': 13, 'car': 2, 'total': 15}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 15}}, 10: {'raw_counts': {'person': 11, 'car': 2, 'total': 13}, 'bucketed_counts': {'humans': 11, 'animals': 0, 'vehicles': 2, 'food': 0, 'others': 0, 'total': 13}}, 11: {'raw_counts': {'person': 14, 'car': 1, 'total': 15}, 'bucketed_counts': {'humans': 14, 'animals': 0, 'vehicles': 1, 'food': 0, 'others': 0, 'total': 15}}, 12: {'raw_counts': {'car': 4, 'person': 13, 'total': 17}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 17}}, 13: {'raw_counts': {'car': 3, 'person': 16, 'total': 19}, 'bucketed_counts': {'humans': 16, 'animals': 0, 'vehicles': 3, 'food': 0, 'others': 0, 'total': 19}}, 14: {'raw_counts': {'person': 13, 'car': 4, 'total': 17}, 'bucketed_counts': {'humans': 13, 'animals': 0, 'vehicles': 4, 'food': 0, 'others': 0, 'total': 17}}}
| 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=lo2HEzAB71k
|
scene_001
| 1
| 128
| 488
|
00:00:05.339
|
00:00:20.354
| 5.338672
| 20.353687
| 15.015015
| 5.338672
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the articulate details of the scenes presented in the video. Here are some guidelines:
* Describe the composition of the scene, how it's progressing with all the components involved.
* First describe the main subjects of the video and then how they are connected with one another.
* DO NOT start the caption with "In this video,".
* When appropriate for the scene, incorporate cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
IMPORTANT: Use these example phrases only when they naturally fit the scene you're describing.
## REQUIRED OUTPUT FORMAT:
- Focus exclusively on what is visually happening in the frames
- Describe actions, emotions, settings, and atmosphere
- Maintain an objective, descriptive tone
- Narrate as if describing the scene to someone who cannot see it
- DO NOT mention character names, actor names, or film titles
- Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
|
A woman with shoulder-length hair opens the driver's side door of a station wagon in a yard filled with many people, all with a blue tint, standing near parked cars and a playground, and a girl in a striped shirt says she'll go with her dad as she approaches a bearded man, and the woman watches them as she raises a hand up and walks away from the car.
|
You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it short, high-level, and descriptive—focusing on the overall action, mood, or atmosphere in the scene.
Here are some guidelines:
* Identify the main subjects and describe the general visual activity or setting.
* Avoid going into fine-grained or overly specific details—this is a summary, not a full narration.
* Use cinematic phrases such as:
* "with dramatic lighting"
* "in slow motion"
* "captured in close-up"
only when they naturally fit the visual tone of the video.
## REQUIRED OUTPUT FORMAT:
* Focus exclusively on what is visually happening in the frames
* Describe actions, emotions, settings, and atmosphere
* Maintain an objective, descriptive tone
* **Limit your response to a maximum of two sentences**
* DO NOT mention character names, actor names, or film titles
* DO NOT start the caption with "In this video,"
* Write in a continuous, cohesive paragraph that reads like a natural description of the entire scene, rather than listing or breaking it down frame by frame
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A woman is standing near a car, waving goodbye to a girl who joins a crowd of people. The people and the surrounding environment appear to be washed in shades of blue.
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