jackynix/CSMV_visual
This repository contains the visual features of the CSMV dataset released in Paper Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline. The repository contains feature representations of the micro-videos. Each subfolder is named after a different feature extraction method, and the features for each video are saved as .npy files. The filenames correspond to the video_file_id. Currently, features extracted using I3D(recommend) and R(2+1)D have been released.… See the full description on the dataset page: https://huggingface.co/datasets/jackynix/CSMV_visual.
This repository contains the visual features of the CSMV dataset released in Paper [Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline](https://proceedings.neurips.cc/paper_files/paper/2024/file/bbf090d264b94d29260f5303efea868c-Paper-Datasets_and_Benchmarks_Track.pdf).
The repository contains feature representations of the micro-videos. Each subfolder is named after a different feature extraction method, and the features for each video are saved as .npy files. The filenames correspond to the video_file_id. Currently, features extracted using I3D(recommend) and R(2+1)D have been released. More features will be released in the future.
In this repository:
- Each zip file (e.g.,
I3D) contains.npyfiles representing the features of the videos extracted using the respective method. - The
.npyfiles are named with thevideo_file_id, ensuring a direct correspondence with thevideo_file_idinlable_data_dict.json.
More resources and project documents are available in github(https://github.com/JackySnake/MSA-CRVI).