Dataset Preparation
Training data
annotation: We place the annotation file in dataset/trainval/train_2k5.json.
original videos: You can download download from our organized version in Boshenxx/TimeR1-Dataset;
or you can download and organize the original data from VTG-IT, TimeIT, TimePro, HTStep and LongVid.
Testing data
folder structure:
dataset
ββ timer1
β ββ annotations
β β ββ train_2k5.json
β β ββ tvgbench.json
β ββ videos
β β ββ timerft_data
β β | ββ xxx.mp4
β β β ββ ...
β β ββ tvgbench_data
β β | ββ xxx.mp4
β β β ββ ...
ββ activitynet
β ββ annotations
β β ββ sentence_temporal_grounding
β β β ββ test.json
β ββ videos
β | ββ v_zzz_3yWpTXo.mp4
β β ββ ...
ββ charades
β ββ Charades_anno
β β ββ Charades_v1_test.csv
β ββ Charades_v1
β | ββ 0I0FX.mp4
β β ββ ...
ββ mvbench
β ββ json
β β ββ action_antonym.json
β β ββ ...
β ββ videos
β β ββ clevrer
β β ββ ...
ββ tempcompass
β ββ questions
β β ββ multi-choice.json
β β ββ ...
β ββ videos
β β ββ 315784.mp4
β β ββ ...
ββ egoschema
β ββ MC
β β ββ test-00000-of-00001.parquet
β ββ Subset
β β ββ test-00000-of-00001.parquet
β ββ videos
β β ββ 001934bb-81bd-4cd8-a574-0472ef3f6678.mp4
β β ββ ...
ββ videomme
β ββ videomme
β β ββ test-00000-of-00001.parquet
β ββ data
β β ββ _8lBR0E_Tx8.mp4
ββ ββ ββ ...
ActivityNet
Download link: ActivityNet
For fine-tuning setting, before training, you need to preprocess the video data.
bash preprocess_video.sh
Specify the path to the Charades-STA dataset (video files, annotations, etc.).
Charades
Download link: Charades-v1
For fine-tuning setting, before training, you need to preprocess the video data.
bash preprocess_video.sh
Specify the path to the Charades-STA dataset (video files, annotations, etc.).
TVGBench
Download link: hf: Boshenxx/TimeR1-Dataset
MVBench
We place the annotation file of tvgbench in dataset/trainval/tvgbench.json.
Download link: hf: OpenGVLab/MVBench
VideoMME
Download link: hf: lmms-lab/MVBench
Egoschema
Download link: hf: lmms-lab/egoschema
TempCompass
Download link: hf: lmms-lab/TempCompass