Duplicate from cwuau/CMOSE
Browse filesCo-authored-by: Chi hsuan Wu <cwuau@users.noreply.huggingface.co>
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- .gitattributes +62 -0
- README.md +41 -0
- final_data_1.json +3 -0
- label_results_w_audio_final.json +3 -0
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README.md
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---
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license: cc-by-sa-4.0
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tags:
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- Engagement
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---
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# CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels
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## Project page is [here](https://jasonwuchi.github.io/CMOSE/)
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## Video clip name
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Each video clip is named as videoX_Y_personZ, which means it is the Yth clip of the Zth subject from coaching session X.
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## Openface
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We extract the second level features from [OpenFace](https://github.com/TadasBaltrusaitis/OpenFace/wiki/Unix-Installation). The extracted files are stored under "secondfeature/videoX_Y_personZ.csv". These features include:
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- **Gaze Direction and Angles**
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- Three coordinates to describe the gaze direction of left and right eyes respectively
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- Two scalars to describe the horizontal and vertical gaze angles
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- **Head Position**
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- Three coordinates to describe the location of the head relative to the camera
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- **Head Rotation**
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- Rotation of the head described with pitch, yaw, and roll
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- **Facial Action Units (AUs)**
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- Intensities of 17 AUs represented as scalars
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- Presence of 18 AUs represented as scalars
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## I3D
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We use the [I3D Repository](https://github.com/v-iashin/video_features) to extract the I3D vectors. One I3D vector is extracted for each clip. The features are stored in "final_data_1.json".
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## Acoustics
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We use [ParselMouth](https://github.com/YannickJadoul/Parselmouth) to extract the acoustics features. They are stored in "label_results_w_audio_final.json". We also calculate the high level features such as the percentage of high/low volume, high/low pitch, and std of volume/pitch. These are stored in "new_bert_ac_dict.json".
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## Narrations
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We collect the narrations from the Live Transcript functions in Zoom. They are stored in "label_results_w_audio_final.json". We also extract the bert features from the narrations and store them in "new_bert_ac_dict.json".
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## Data split
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Split information can be found in "final_data_1.json". Note that "split" should be one of "train", "unlabel", and "test". We use "unlabel" for validation purposes.
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version https://git-lfs.github.com/spec/v1
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oid sha256:65ef301538bb2d5f8419d45ea6ccbbf971eab4ac0b501b38b7aae216e3c60ef0
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size 257198845
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label_results_w_audio_final.json
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version https://git-lfs.github.com/spec/v1
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size 9148656444
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version https://git-lfs.github.com/spec/v1
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