| # VideoSearcher RL Training Data |
|
|
| RL training/validation data for VideoSearcher (video deep-research agent), as used by |
| `train_video_test_GSPO_HDPO_image.sh`. All paths inside the annotation files are |
| **relative to this directory**. |
|
|
| ## Contents |
|
|
| | File / Dir | Description | |
| |---|---| |
| | `train_video_deepresearch_qcap1_plus_0505.json` | Train dataset config (points to the train jsonl) | |
| | `test_video_deepresearch.json` | Val dataset config (points to the val jsonl) | |
| | `all_video_deepresearch_qcap1_plus_video_dr_0505_rl.jsonl` | Train annotations, 3285 samples | |
| | `val_video_deepresearch_data.le20min.jsonl` | Val annotations, 348 samples | |
| | `videos/<id>/all_frames/frame_*.jpg` | 1fps frames for fvqa videos (2324 videos) | |
| | `frames_dr0505/<id>/frame_*.jpg` | 1fps frames for video_dr_0505 videos (1124 videos) | |
|
|
| Each jsonl line has an `image` field listing frame paths (relative), e.g. |
| `videos/fvqa_1002__yUuVs1AMjHk/all_frames/frame_000000.jpg` or |
| `frames_dr0505/vdr_015_.../frame_000000.jpg`. |
|
|
| Frame index (1fps) is watermarked in the top-left corner of every frame. |
|
|
| ## Usage |
|
|
| Unzip all parts into one directory. To train, point the dataset configs' `annotation` |
| field (or your data root) at this directory, or prepend this directory's absolute path |
| to the relative paths in the jsonl `image` fields. |
|
|
