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license: mit |
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This repository contains the multi-modal multi-party conversation dataset described in the paper **Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding**. |
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## Related Resources |
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- Paper: [Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding](https://arxiv.org/abs/2412.17295) |
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- Conversation Speaker Identification Model: [CSI model](https://huggingface.co/datasets/wangyueqian/friends_mmc) |
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## Friends-MMC dataset |
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The structure of this repository is as follows: |
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``` |
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datasets/ |
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├── 5_turns/ |
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│ ├── images/ |
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│ ├── train-metadata.json |
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│ ├── test-metadata.json |
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│ ├── test-noisy-metadata.json |
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├── 8_turns/ |
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│ ├── images/ |
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│ ├── train-metadata.json |
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│ ├── test-metadata.json |
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│ ├── test-noisy-metadata.json |
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├── face_track_videos/ |
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│ ├── s01e01/ // season name and episode name |
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│ │ ├── 001196-001272 // each folder contains the cropped face tracks for each turn. The numbers in folder name is start and end frame number. |
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│ │ │ ├── 0.avi 0.wav 1.avi 1.wav |
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│ │ ├── 001272-001375 |
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│ │ ├── ... |
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│ ├── s01e02/ |
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│ ├── s01e03/ |
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│ ├── ... |
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├── face_track_annotations/ |
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│ ├── train/ |
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│ │ ├── s01e01.pkl // each pickle file stores metadata (frame number and bounding box in the original video for each frame) of the cropped face track video |
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│ │ ├── s01e02.pkl |
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│ │ ├── ... |
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│ ├── test/ // same format as files in `train` folder, but for season 03 (test set) |
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│ │ ├── s03e01.pkl |
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│ │ ├── s03e02.pkl |
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│ │ ├── ... |
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│ ├── test-noisy/ // some face tracks removed from the files in `test` folder |
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│ │ ├── s03e01.pkl |
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│ │ ├── s03e02.pkl |
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│ │ ├── ... |
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├── raw_videos/ // contains raw video of the TV Series |
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├── ubuntu_dialogue_corpus/ // The Ubuntu Dialogue Corpus [1] which is used for training the text module of the CSI model |
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├── README.md |
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``` |
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[1] Hu, W., Chan, Z., Liu, B., Zhao, D., Ma, J., & Yan, R. (2019). GSN: A Graph-Structured Network for Multi-Party Dialogues. International Joint Conference on Artificial Intelligence. |
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## Download the dataset |
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The `face_track_videos/`, `face_track_annotations/`, `ubuntu_dialogue_corpus`, `5_turns/images/` and `8_turns/images/` folders are stored in zip files. Unzip them after downloading: |
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```shell |
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unzip -q face_track_annotations.zip |
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unzip -q face_track_videos.zip |
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unzip -q ubuntu_dialogue_corpus.zip |
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cd 5_turns |
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unzip -q images.zip |
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cd ../8_turns |
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unzip -q images.zip |
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cd .. |
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``` |
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The `raw_videos/` folder is also stored in a zip file. However, as the raw videos are not used in the experiments, you can optionally download and unzip: |
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```shell |
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cat raw_videos.zip* > raw_videos.zip |
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unzip -q raw_videos.zip |
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``` |
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## Data Format |
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### Metadata |
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Dialogue annotations are stored in `train-metadata.json`, `test-metadata.json` and `test-noisy-metadata.json`. Take an example from `5_turns/train-metadata.json`, each example is formatted as follows: |
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```json |
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[ |
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{ |
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"frame": "s01e01-001259", "video": "s01e01-001196-001272", "speaker": "monica", |
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"content": "There's nothing to tell! He's just some guy I work with!", |
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"faces": [[[763, 254, 807, 309], "carol"], [[582, 265, 620, 314], "monica"]] |
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}, |
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{ |
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"frame": "s01e01-001323", "video": "s01e01-001272-001375", "speaker": "joey", |
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"content": "C'mon, you're going out with the guy! There's gotta be something wrong with him!", |
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"faces": [[[569, 175, 715, 371], "joey"]] |
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}, |
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{...}, {...}, {...} // three more above-like dicts |
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] |
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``` |
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- "frame" corresponds to the filename of the single frame of this turn sampled from the video (`5_turns/images/s01e01-001259.jpg`), |
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- "content" is the textual content of this turn, |
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- "faces" is a list of face bounding boxes (x1, y1, x2, y2) and their corresponding speaker names in the image `5_turns/images/s01e01-001259.jpg`, |
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- "video" corresponds to the filname of folder of face tracks (`s01e01/001196-001272`) in the`face_track_videos/` folder, |
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- "speaker" is the ground truth speaker annotation. |
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### Face tracks |
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The face tracks that appears in the video corresponding to each turn are stored in a folder in the `face_track_videos/` folder. The folder name is the start and end frame number of the track. For example, `s01e01/001196-001272` contains the face tracks for the turn from frame 196 to frame 272 in episode `s01e01`. Each face track is stored in two files: `.avi` and `.wav`. The `.avi` file is the cropped face track video, and the `.wav` file is the corresponding audio of the frames. |
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### Face track annotations |
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The face track annotation for each episode is a python dictionary. Take an example from `face_track_annotations/s01e01.pkl`, each turn is formatted as follows: |
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```json |
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"s01e01-001196-001272": [ |
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{"face_track_id": 0, "name": "carol", "frame": [1251, 1252, ...], "bbox": [[762.22, 257.18, 805.59, 309.45], [762.29, 256.34, 806.16, 309.51], ...]}, // face track 1 |
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{"face_track_id": 1, "name": "monica", "frame": [frame 1, frame 2, ...], "bbox": [bbox 1, bbox 2, ...]}, // face track 2 |
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] |
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``` |
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Each python dictionary in this example marks the track of a face. |
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- "face_track_id" corresponds to the face track file name in `face_track_videos`. In this example, the face track for "carol" is `face_track_videos/s01e01/001196-001272/0.avi(.wav)`. |
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- "frame" is a list of frame numbers in the turn. Each frame number >= start frame number and <= end frame number, |
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- "bbox" is a list of bounding boxes (x1, y1, x2, y2). Each bounding box marks a face in its corresponding frame (e.g., the box [762.22, 257.18, 805.59, 309.45] of frame 1251 marks an appearence of a carol's face). |
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## Citation |
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If you use this work in your research, please cite: |
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```bibtex |
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@misc{wang2024friendsmmcdatasetmultimodalmultiparty, |
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title={Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding}, |
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author={Yueqian Wang and Xiaojun Meng and Yuxuan Wang and Jianxin Liang and Qun Liu and Dongyan Zhao}, |
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year={2024}, |
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eprint={2412.17295}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2412.17295}, |
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} |
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``` |
