Dataset Viewer
video_url
stringclasses 2
values | conversation
listlengths 2
2
| num_frames
int64 5
5
|
|---|---|---|
https://huggingface.co/datasets/diffusion-datasets/sample-videos/resolve/main/sample2.mp4
|
[
{
"content": [
{
"text": "Can you describe what is happening?",
"type": "text"
},
{
"text": null,
"type": "image"
},
{
"text": null,
"type": "image"
},
{
"text": null,
"type": "image"
},
{
"text": null,
"type": "image"
},
{
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"text": "A cat is present in the scene.",
"type": "text"
}
],
"role": "assistant"
}
] | 5
|
https://huggingface.co/datasets/diffusion-datasets/sample-videos/resolve/main/sample1.mp4
|
[
{
"content": [
{
"text": "What is in this video?",
"type": "text"
},
{
"text": null,
"type": "image"
},
{
"text": null,
"type": "image"
},
{
"text": null,
"type": "image"
},
{
"text": null,
"type": "image"
},
{
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"text": "There is a cat in the video.",
"type": "text"
}
],
"role": "assistant"
}
] | 5
|
eagle0504/llava-video-text-dataset
This is a tiny LLaVA dataset with exactly four video samples for training.
- Field
video_url: Video URLs (MP4/GIF format) - Field
conversation: LLaVA conversation format with user/assistant roles - Field
num_frames: Number of frames per video (5)
Dataset Structure
Each sample contains a conversation in LLaVA format:
{
"video_url": "https://example.com/video.mp4",
"conversation": [
{
"role": "user",
"content": [
{"type": "text", "text": "What is in this video?"},
{"type": "image"},
{"type": "image"},
{"type": "image"},
{"type": "image"},
{"type": "image"}
]
},
{
"role": "assistant",
"content": [{"type": "text", "text": "There is a cat in the video."}]
}
],
"num_frames": 5
}
Usage
from datasets import load_dataset
dataset = load_dataset("eagle0504/llava-video-text-dataset")
Model Compatibility
This dataset is designed for LLaVA models that support video input through multiple image frames.
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