TIGER-Lab/MMEB-V2 · Can't find some eval jsonl data in MMEB-V2

Hi, thank you for your excellent work and contribution to the MMEB-V2 leaderboard.

When I tried to evaluate my model on this benchmark, I found that the three jsonl files used for the video tasks in your code are not provided in MMEB-V2, which prevents me from obtaining complete results for comparison with yours. Could you please upload these three files to Hugging Face? Thank you very much.

Here are the names of the three missing files:

video-tasks/data/charades_sta.jsonl
video-tasks/data/momentseeker.jsonl
video-tasks/data/activitynetqa.jsonl

And here are the evaluation tasks in which they are respectively used:

Charades-STA:
    dataset_parser: moment_retrieval
    dataset_name: Charades-STA
    data_path: video-tasks/data/charades_sta.jsonl
    video_root: None
    clip_root: None
    frame_root: video-tasks/frames/video_mret/charades_sta_frames
    num_negative_clips: 9
    max_video_frames_saved: 64
    max_clip_frames_saved: 8
    num_video_frames: 8
    num_clip_frames: 8
    eval_type: local
MomentSeeker:
    dataset_parser: momentseeker
    dataset_name: MomentSeeker
    data_path: video-tasks/data/momentseeker.jsonl
    video_root: None
    clip_root: None
    raw_dataset_abspath: None
    frame_root: video-tasks/frames/video_mret/momentseeker
    num_negative_clips: 9
    num_video_frames: 8
    eval_type: local
ActivityNetQA:
    dataset_parser: activitynetqa
    dataset_name: ActivityNetQA
    data_path: video-tasks/data/activitynetqa.jsonl
    video_root: video-tasks/videos/video_qa/ActivityNetQA
    frame_root: video-tasks/frames/video_qa/ActivityNetQA
    max_frames_saved: 64
    num_frames: 8
    eval_type: local