upload annotations

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+*.zip.* filter=lfs diff=lfs merge=lfs -text
+5_turns/train-metadata.json filter=lfs diff=lfs merge=lfs -text
+8_turns/train-metadata.json filter=lfs diff=lfs merge=lfs -text

5_turns/train-metadata.json

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8_turns/train-metadata.json

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README.md

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+---
+license: mit
+---
+
+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**.
+
+## Related Resources
+- Paper: [Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding](https://arxiv.org/abs/2412.17295)
+- Conversation Speaker Identification Model: [CSI model](https://huggingface.co/datasets/wangyueqian/friends_mmc)
+
+
+## Friends-MMC dataset
+The structure of this repository is as follows:
+```
+datasets/
+├── 5_turns/
+│   ├── images/
+│   ├── train-metadata.json
+│   ├── test-metadata.json
+│   ├── test-noisy-metadata.json
+├── 8_turns/
+│   ├── images/
+│   ├── train-metadata.json
+│   ├── test-metadata.json
+│   ├── test-noisy-metadata.json
+├── face_track_videos/
+│   ├── s01e01/  // season name and episode name
+│   │   ├── 001196-001272   // each folder contains the cropped face tracks for each turn. The numbers in folder name is start and end frame number.
+│   │   │   ├── 0.avi  0.wav  1.avi  1.wav
+│   │   ├── 001272-001375
+│   │   ├── ...
+│   ├── s01e02/
+│   ├── s01e03/
+│   ├── ...
+├── face_track_annotations/
+│   ├── train/
+│   │   ├── 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
+│   │   ├── s01e02.pkl
+│   │   ├── ...
+│   ├── test/       // same format as files in `train` folder, but for season 03 (test set) 
+│   │   ├── s03e01.pkl
+│   │   ├── s03e02.pkl
+│   │   ├── ...
+│   ├── test-noisy/     // some face tracks removed from the files in `test` folder
+│   │   ├── s03e01.pkl
+│   │   ├── s03e02.pkl
+│   │   ├── ...
+├── raw_videos/   // contains raw video of the TV Series
+├── ubuntu_dialogue_corpus/   // The Ubuntu Dialogue Corpus [1] which is used for training the text module of the CSI model
+├── README.md
+```
+
+[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.
+
+## Download the dataset
+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:
+```shell
+unzip -q face_track_annotations.zip
+unzip -q face_track_videos.zip
+unzip -q ubuntu_dialogue_corpus.zip
+cd 5_turns
+unzip -q images.zip
+cd ../8_turns
+unzip -q images.zip
+cd ..
+```
+
+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:
+```shell
+cat raw_videos.zip* > raw_videos.zip
+unzip -q raw_videos.zip
+```
+
+## Data Format
+### Metadata
+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:
+```json
+[
+    {
+        "frame": "s01e01-001259", "video": "s01e01-001196-001272", "speaker": "monica",
+        "content": "There's nothing to tell! He's just some guy I work with!",
+        "faces": [[[763, 254, 807, 309], "carol"], [[582, 265, 620, 314], "monica"]]
+    },
+    {
+        "frame": "s01e01-001323", "video": "s01e01-001272-001375", "speaker": "joey",
+        "content": "C'mon, you're going out with the guy! There's gotta be something wrong with him!", 
+        "faces": [[[569, 175, 715, 371], "joey"]]
+    },
+    {...}, {...}, {...}     // three more above-like dicts
+]
+```
+- "frame" corresponds to the filename of the single frame of this turn sampled from the video (`5_turns/images/s01e01-001259.jpg`),
+- "content" is the textual content of this turn,
+- "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`,
+- "video" corresponds to the filname of folder of face tracks (`s01e01/001196-001272`) in the`face_track_videos/` folder,
+- "speaker" is the ground truth speaker annotation.
+
+### Face tracks
+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.
+
+### Face track annotations
+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:
+```json
+"s01e01-001196-001272": [
+    {"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
+    {"face_track_id": 1, "name": "monica", "frame": [frame 1, frame 2, ...], "bbox": [bbox 1, bbox 2, ...]},        // face track 2
+]
+```
+
+Each python dictionary in this example marks the track of a face.
+- "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)`.
+- "frame" is a list of frame numbers in the turn. Each frame number >= start frame number and <= end frame number,
+- "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).
+
+
+## Citation
+If you use this work in your research, please cite:
+```bibtex
+@misc{wang2024friendsmmcdatasetmultimodalmultiparty,
+      title={Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding}, 
+      author={Yueqian Wang and Xiaojun Meng and Yuxuan Wang and Jianxin Liang and Qun Liu and Dongyan Zhao},
+      year={2024},
+      eprint={2412.17295},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2412.17295}, 
+}
+```

face_track_annotations.zip

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