README.md

metadata

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.

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:

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:

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:

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:

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.