| --- |
| license: apache-2.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| dataset_info: |
| features: |
| - name: video |
| dtype: video |
| - name: frames_response |
| dtype: string |
| - name: sliced_frames |
| list: image |
| splits: |
| - name: train |
| num_bytes: 6622538384 |
| num_examples: 2894 |
| download_size: 6717736906 |
| dataset_size: 6622538384 |
| task_categories: |
| - video-text-to-text |
| language: |
| - en |
| tags: |
| - video |
| pretty_name: OpenVideo |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # **OpenVideo-Scene-Reasoning** |
|
|
| **OpenVideo-Scene-Reasoning** is a video understanding dataset containing **2,894 short video clips**, where each sample consists of a **10-second video**, **five uniformly sampled frames**, and a **dense scene-level response** describing the complete temporal sequence. |
|
|
| Rather than generating captions for individual frames independently, the responses are synthesized by jointly reasoning over the sampled frames to capture temporal progression, object interactions, actions, scene transitions, and contextual information across the entire video. |
|
|
| The dataset is built primarily from **publicly available videos**, which constitute the majority of the source content, together with other publicly available datasets. |
|
|
|
|
| # Dataset Statistics |
|
|
| | Property | Value | |
| |----------|------:| |
| | Video Samples | **2,894** | |
| | Video Duration | **10 seconds each** | |
| | Sampled Frames | **5 per video** | |
| | Total Video Duration | **28,940 seconds** | |
| | Total Hours | **≈ 8.04 hours** | |
| | Total Dataset Size | **6.72 GB** | |
| | License | Apache-2.0 | |
|
|
| # Dataset Structure |
|
|
| Each sample contains: |
|
|
| | Column | Type | Description | |
| |---------|------|-------------| |
| | `video` | Video | Original 10-second video | |
| | `sliced_frames` | List[Image] | Five uniformly sampled frames extracted from the video | |
| | `frames_response` | String | Dense temporal scene description generated from the sampled frames | |
|
|
|
|
| --- |
|
|
| **Dataset by:** — https://huggingface.co/prithivMLmods |
