| --- |
| configs: |
| - config_name: data |
| data_files: |
| - split: train |
| path: stage2_data/video_train_data-540k.json |
| license: apache-2.0 |
| task_categories: |
| - video-text-to-text |
| - question-answering |
| language: |
| - en |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # Training data used in TDC. |
|
|
| **Paper Link:** |
| https://arxiv.org/pdf/2504.10443 |
|
|
| **Project Page:** |
| https://hoar012.github.io/TDC-Project |
|
|
| **Code:** |
| https://github.com/Hoar012/TDC-Video |
|
|
|
|
| This repository contains the data used for training and evaluation in [Multimodal Long Video Modeling Based on Temporal Dynamic Context](https://arxiv.org/abs/2504.10443). |
|
|
|
|
| # Citation |
|
|
| ``` |
| @misc{hao2025multimodallongvideomodeling, |
| title={Multimodal Long Video Modeling Based on Temporal Dynamic Context}, |
| author={Haoran Hao and Jiaming Han and Yiyuan Zhang and Xiangyu Yue}, |
| year={2025}, |
| eprint={2504.10443}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2504.10443}, |
| } |
| ``` |