Datasetpublic

Chris-davis-thor/motioncapture

Fight Scene Action Video Dataset (samples) A VideoFolder-format dataset of fight / martial-arts action clips, provided by Thordata. Each clip is annotated with a temporal action breakdown, per-segment descriptions, an English caption, and ffmpeg-measured technical metadata. Layout (HuggingFace VideoFolder) data/ ├── metadata.jsonl # one row per video; "file_name" links to the clip └── train/ ├── clip_01.mp4 └── ... clip_12.mp4 Load… See the full description on the dataset page: https://huggingface.co/datasets/Chris-davis-thor/motioncapture.

sourceHugging Faceupdated 11d agoView on Hugging Face

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Dataset Card

Fight Scene Action Video Dataset (samples)

A VideoFolder-format dataset of fight / martial-arts action clips, provided by Thordata. Each clip is annotated with a temporal action breakdown, per-segment descriptions, an English caption, and ffmpeg-measured technical metadata.

Layout (HuggingFace VideoFolder)

data/
├── metadata.jsonl          # one row per video; "file_name" links to the clip
└── train/
    ├── clip_01.mp4
    └── ... clip_12.mp4

Load

python

from datasets import load_dataset
ds = load_dataset("videofolder", "<your-username>/fight-scene-action-video")
print(ds["train"][0]["caption"])
print(ds["train"][0]["json"]["action_labels"])

Fields

Field	Type	Description
`file_name`	string	Relative path to the video file
`id`	string	Clip identifier
`provider`	string	Data provider (Thordata)
`title`	string	Short English title
`caption`	string	One-sentence English description
`style`	string	Fight style (traditional kung fu / Wing Chun / street brawl / ground grappling / weapon duel)
`setting`	string	Scene / environment
`fighters`	string	Who is fighting
`camera`	string	Camera / cinematography note
`action_labels`	list\<string\>	Coarse action tags for classification
`segments`	list\<dict\>	Temporal breakdown: `start`, `end` (seconds), `action`, `description`
`duration_s`	float	Duration (seconds)
`width`, `height`	int	Resolution
`fps`	float	Frames per second
`num_frames_est`	int	Estimated frame count
`has_subtitle_or_watermark`	bool	Always `false` for these clips

Coverage (12 clips)

Outdoor changshan kung-fu duel, street mob brawl, superhero-style ground control, night interior hand-to-hand, green-lit interior standoff, woman fighting in a hardware store, indoor bladed-weapon duel, Wing Chun trapping & chain punches, Wing Chun palm blocks / punches / kick, Wing Chun bridge control & throw, one-vs-many hall brawl with dagger, broadsword weapon duel.

Citation

bibtex

@misc{fight_scene_action_video_samples,
  title    = {Fight Scene Action Video Dataset (samples)},
  author   = {Thordata},
  year     = {2026}
}