| # N-back_1 |
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| This repository is a private transfer bundle for building multi-video N-back sequences. |
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| It contains: |
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| - raw source videos |
| - pair manifests |
| - pre-cut segment packages |
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| ## Main Idea |
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| Each pair contains two highly similar videos from the same dataset. |
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| The intended similarity structure is: |
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| - within the same pair: highly similar |
| - across different pairs from the same dataset: generally similar |
| - across different datasets: relatively dissimilar |
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| This makes the package suitable for constructing both: |
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| - more similar source pools |
| - less similar source pools |
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| In practice, a simple workflow is: |
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| 1. Choose one pair as the anchor pair. |
| 2. If you want another similar source pair, choose a different pair from the same dataset. |
| 3. If you want a less similar source pair, choose a pair from a different dataset. |
| 4. Use either the raw videos or the pre-cut segment packages below. |
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| ## Repository Layout |
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| ### Raw Pair Package |
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| - `pairs/nback_1_pairs_20_per_dataset.json` |
| Combined manifest with 20 selected pairs from each dataset. |
| - `pairs/<dataset>_pairs.json` |
| Per-dataset manifests for easier browsing. |
| - `pairs/manifest_summary.json` |
| Summary counts. |
| - `videos/<dataset>/<pair_id>/video_1.mp4` |
| - `videos/<dataset>/<pair_id>/video_2.mp4` |
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| The raw package is the right choice if you want to cut or sample the videos yourself. |
|
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| ### Pre-cut Packages |
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| Pre-cut segment bundles are stored under folders such as: |
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| - `precut_subsets/...` |
| - `precut_full_20pairs_per_dataset_seg10/...` |
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| Each pre-cut package has its own README and manifest. |
| These are the right choice if you want to start directly from equal-count video segments. |
|
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| ## Recommended Usage |
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| ### If You Want Raw Videos |
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| 1. Open `pairs/nback_1_pairs_20_per_dataset.json`. |
| 2. Choose one pair as the anchor pair. |
| 3. Choose another pair from the same dataset if you want a more similar source pool. |
| 4. Choose another pair from a different dataset if you want a less similar source pool. |
| 5. Read the corresponding raw files from: |
| `videos/<dataset>/<pair_id>/video_1.mp4` |
| and |
| `videos/<dataset>/<pair_id>/video_2.mp4` |
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| This is the recommended path if you want full control over: |
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| - how many clips to cut from each video |
| - clip duration |
| - ordering strategy |
| - prompt construction |
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| ### If You Want Pre-cut 10-Way Segments |
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| 1. Open the README inside the corresponding pre-cut folder. |
| 2. Use the package manifest there to locate segment files. |
| 3. Each source video is split into: |
| `seg00` to `seg09` |
| 4. Use the manifest time fields as the planned time windows for downstream construction. |
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| This is the recommended path if you want to move quickly and do not want to cut videos on your own server. |
|
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| ## Example Sequence Construction |
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| Suppose you want to build one source pool for a multi-video N-back sequence. |
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| 1. Pick one anchor pair from `pairs/nback_1_pairs_20_per_dataset.json`. |
| 2. Use the two videos in that pair as a highly similar base. |
| 3. Add another pair from the same dataset if you want more semantically related videos. |
| 4. Or add a pair from a different dataset if you want a less similar source pool. |
| 5. If you use a pre-cut package, read the corresponding `seg00` to `seg09` files directly. |
| 6. If you use raw videos, cut them with your own strategy. |
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| ## Pair Manifest Fields |
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| The pair JSON files include: |
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| - `pair_id` |
| - `dataset` |
| - `selection_rank_within_dataset` |
| - `video_1_id` |
| - `video_2_id` |
| - `original_video_1_path` |
| - `original_video_2_path` |
| - `repo_video_1_path` |
| - `repo_video_2_path` |
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| `repo_video_*_path` is the path inside this Hugging Face repository. |
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| The per-pair JSON also keeps the selection metadata used during pair construction, which can help if you want to reuse the same sampling logic. |
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| ## Datasets Covered |
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| - CrossVid-CC |
| - CrossVid-NC |
| - HourVideo |
| - InfiniBench-TVQA |
| - LVBench |
| - Video-MME-L |
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| ## Notes |
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| - The videos come from the original benchmark datasets used in VideoMemoryEval. |
| - Some pre-cut packages are produced with fast ffmpeg stream-copy segmentation. |
| - In those packages, downstream users should rely on the manifest time windows rather than assuming frame-perfect physical cut points. |
| - If you only need one urgent subset, check the `precut_subsets/` folder first. |
| - If you want the complete 20-pairs-per-dataset transfer bundle with 10-way cuts, use `precut_full_20pairs_per_dataset_seg10/`. |
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