| --- |
| license: mit |
| task_categories: |
| - visual-document-retrieval |
| - text-to-video |
| language: |
| - en |
| tags: |
| - video-retrieval |
| - generative-retrieval |
| - semantic-ids |
| - text-to-video |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # GRDR-TVR release assets |
|
|
| This dataset repository hosts release assets for GRDR: a learned semantic-key index for large-scale text-to-video retrieval. The main code repository is [JasonCoderMaker/GRDR](https://github.com/JasonCoderMaker/GRDR). |
|
|
| ## Hosted files |
|
|
| ### InternVideo2 features |
|
|
| Pre-extracted InternVideo2 features are available for: |
|
|
| - `msrvtt` |
| - `actnet` |
| - `didemo` |
| - `panda` |
| - `lsmdc` legacy assets |
|
|
| The source videos remain under their original dataset licenses and are not mirrored here. |
|
|
| ### GRDR checkpoints |
|
|
| The release-facing checkpoint path is canonical for each dataset: |
|
|
| ```text |
| GRDR/<dataset>/best_model/best_model.pt |
| GRDR/<dataset>/best_model/best_model.pt.code |
| GRDR/<dataset>/best_model/best_model.pt.centroids |
| GRDR/<dataset>/best_model/best_model.pt.embedding |
| GRDR/<dataset>/best_model/best_model.pt.model |
| GRDR/<dataset>/best_model/best_model.pt.start_token |
| GRDR/<dataset>/best_model/best_model.pt.videorqvae |
| ``` |
|
|
| Current release datasets: |
|
|
| - `msrvtt` |
| - `actnet` |
| - `didemo` |
| - `panda` |
|
|
| Legacy `lsmdc` checkpoint files remain available under `GRDR/lsmdc/best_model/`, but they are not part of the current GRDR release manifest. |
|
|
| ### X-Pool checkpoints |
|
|
| X-Pool checkpoint filenames keep their original flat layout: |
|
|
| ```text |
| Xpool/msrvtt9k_model_best.pth |
| Xpool/actnet_model_best.pth |
| Xpool/didemo_model_best.pth |
| Xpool/panda_2150k_s42_model_best.pth |
| Xpool/lsmdc_model_best.pth |
| ``` |
|
|
| ## Download examples |
|
|
| Use the `download_features.py` script from the GRDR code repository for the full reproduction workflow. This Hub-side copy downloads the hosted release assets directly: |
|
|
| ```bash |
| python download_features.py --features --datasets panda |
| python download_features.py --grdr --datasets msrvtt panda |
| python download_features.py --xpool --datasets msrvtt actnet didemo panda |
| python download_features.py --all --datasets panda |
| ``` |
|
|
| You can also download directly from the Hub: |
|
|
| ```bash |
| hf download JasonCoderMaker/GRDR-TVR --type dataset --include 'InternVideo2/panda/**' --local-dir ./dataset/features |
| hf download JasonCoderMaker/GRDR-TVR --type dataset --include 'GRDR/panda/best_model/*' --local-dir ./output/checkpoints |
| hf download JasonCoderMaker/GRDR-TVR --type dataset --include 'Xpool/panda_2150k_s42_model_best.pth' --local-dir ./reranker/xpool/ckpt |
| ``` |
|
|
| The GRDR repository expects checkpoints under `output/checkpoints/GRDR/<dataset>/best_model/`. |
|
|
| ## License |
|
|
| The release assets are distributed under the MIT License where applicable. Source video datasets keep their original licenses. This repository provides features and model checkpoints, not the original videos. |
|
|
