MMTrail is a large-scale multi-modality video-language dataset with over 20M trailer clips, featuring high-quality multimodal captions that integrate context, visual frames, and background music, aiming to enhance cross-modality studies and fine-grained multimodal-language model training.
Some video-captions examples in MMTrail dataset. Trailer video clips are shown on the left, and the corresponding captions are shown on the right.
If it takes too long to load the videos below, please view the videos here.
Data collection and cleaning pipeline of the MMTrail. Starting from the source video data, we follow the metadata cleaning, scene-cut, and basic filtering to obtain the full list of MMTrail-20M and High-Quality Selection to filter the MMTrail-3M.
Statistic of the MMTrail clips. These evaluation scores collectively include OCR score, Video duration, optical flow score, clip duration, image quality, and aesthetic score, demonstrating the richness and diversity of MMTrail, making it a valuable resource for multimedia research.
Word cloud of the (left) objects and (right) background in MMTrail. Most of the objects are human, and most of the backgrounds are indoor scenes like office, kitchen, etc.
Distribution of video categories of MMTrail dataset.
Human evaluation results of the captioning models on the MMTrail-Test. The X-axis is the average evaluation score from 0-10, and the Y-axis is the average word numbers.
Along with GES-X, we proposed CoCoGesture, a novel framework enabling vivid and diverse gesture synthesis from unseen voice of human speech prompts. Our key insight is built upon the custom-designed pretrain-fintune training paradigm.
Split | Download | # Samples | Video Duration | Storage Space |
---|---|---|---|---|
Training (20M) | TODO (-) | 20M | 27.1 khrs | ~8.0 TB |
Training (3M) | TODO (-) | 3.2M | 12.2 khrs | ~1.6 TB |
Testing | TODO (2.77 MB) | 1,000 | 3.5 hrs | 794 Mb |
The format of a metadata JSON file is shown in below:
[ { 'video_id': 'zW1-6V_cN8I', # Video ID in MMTrail 'video_path': 'group_32/zW1-6V_cN8I.mp4', # Relative path of the dataset root path 'video_duration': 1645.52, # Duration of the video 'video_resolution': [720, 1280], 'video_fps': 25.0, 'clip_id': 'zW1-6V_cN8I_0000141', # Clip ID 'clip_path': 'video_dataset_32/zW1-6V_cN8I_0000141.mp4', # Relative path of the dataset root path 'clip_duration': 9.92, # Duration of the clip itself 'clip_start_end_idx': [27102, 27350], # Start frame_id and end frame_id 'image_quality': 45.510545094807945, # Image quality score 'of_score': 6.993135, # Optical flow score 'aesthetic_score': [4.515582084655762, 4.1147027015686035, 3.796849250793457], 'music_caption_wo_vocal': [{'text': 'This song features a drum machine playing a simple beat. A siren sound is played on the low register. Then, a synth plays a descending lick and the other voice starts rapping. This is followed by a descending run. The mid range of the instruments cannot be heard. This song can be played in a meditation center.', 'time': '0:00-10:00'}], # Music description of the background music without vocal (human voice). 'vocal_caption': 'I was just wondering...' # Speech recongitation. 'frame_caption': ['two people are standing in a room under an umbrella . ', 'a woman in a purple robe standing in front of a man . ', 'a man and a woman dressed in satin robes . '], # Coca caption of three key frame 'music_caption': [{'text': 'This music is instrumental. The tempo is medium with a synthesiser arrangement and digital drumming with a lot of vibrato and static. The music is loud, emphatic, youthful, groovy, energetic and pulsating. This music is a Electro Trap.', 'time': '0:00-10:00'}] # Music description of the background music. 'objects': [' bed', 'Woman', ' wall', ' pink robe', ' pillow'], 'background': 'Bedroom', 'ocr_score': 0.0, 'caption': 'The video shows a woman in a pink robe standing in a room with a bed and a table, captured in a series of keyframes that show her in various poses and expressions.', # Caption generation from LLaVA and rewrite by LLAMA-13B 'polish_caption': 'A woman in a pink robe poses and expresses herself in various ways in a room with a bed and a table, capturing her graceful movements and emotive facial expressions.', # Polished caption generation from LLaVA and rewrite by LLAMA-13B 'merge_caption': 'In a cozy bedroom setting, a stunning woman adorned in a pink robe gracefully poses and expresses herself, her movements and facial expressions captured in a series of intimate moments. The scene is set against the backdrop of a comfortable bed and a table, with an umbrella standing in a corner of the room. The video features two people standing together under the umbrella, a woman in a purple robe standing confidently in front of a man, and a man and woman dressed in satin robes, all set to an energetic and pulsating electro trap beat with a synthesiser arrangement and digital drumming. The music is loud and emphatic, capturing the youthful and groovy vibe of the video.'# The final description of the video. It is the merge of all above captions, and merged by LLaMA } ]