---
license: "cc-by-sa-4.0"
language:
  - en
tags:
  - multimodal
  - emotion recognition
  - CMU-MOSEI
  - computational-sequences
  - audio
  - video
  - text
pretty_name: "CMU-MOSEI: Computational Sequences (Unofficial Mirror)"
dataset_info:
  features:
    - name: CMU_MOSEI_COVAREP.csd
      type: binary
    - name: CMU_MOSEI_Labels.csd
      type: binary
    - name: CMU_MOSEI_OpenFace2.csd
      type: binary
    - name: CMU_MOSEI_TimestampedPhones.csd
      type: binary
    - name: CMU_MOSEI_TimestampedWordVectors.csd
      type: binary
    - name: CMU_MOSEI_TimestampedWords.csd
      type: binary
    - name: CMU_MOSEI_VisualFacet42.csd
      type: binary
---

# CMU-MOSEI: Computational Sequences (Unofficial Mirror)

This repository provides a **mirror of the official computational sequence files from the [CMU-MOSEI dataset](https://github.com/A2Zadeh/CMU-MultimodalSDK)**, which are required for multimodal sentiment and emotion research. The original download links are currently down, so this mirror is provided for the research community.

> **Note:** This is an **unofficial mirror**. All data originates from Carnegie Mellon University and original authors. If you are a dataset creator and want this removed or modified, please open an issue.

## Dataset Structure

- **CMU_MOSEI_COVAREP.csd**: Acoustic features (COVAREP)
- **CMU_MOSEI_Labels.csd**: Sentiment/emotion labels and annotations
- **CMU_MOSEI_OpenFace2.csd**: Facial features (OpenFace 2.0)
- **CMU_MOSEI_TimestampedPhones.csd**: Timestamped phone (phoneme) alignments
- **CMU_MOSEI_TimestampedWordVectors.csd**: Timestamped word embeddings (GloVe/Word2Vec)
- **CMU_MOSEI_TimestampedWords.csd**: Timestamped word alignments
- **CMU_MOSEI_VisualFacet42.csd**: Additional facial/action unit features

All files are in `.csd` format and can be loaded using the [CMU Multimodal SDK](https://github.com/A2Zadeh/CMU-MultimodalSDK).

## Usage

```python
from mmsdk import mmdatasdk
# Example: Load the COVAREP file
covarep = mmdatasdk.mmdataset({'covarep': 'CMU_MOSEI_COVAREP.csd'})
```

## Source

- Original dataset: [CMU-MOSEI on Github](https://github.com/A2Zadeh/CMU-MultimodalSDK)
- Official paper: Zadeh, A. et al. (2018). [CMU-MOSEI: A Multimodal Language Dataset for Sentiment and Emotion Analysis](https://arxiv.org/abs/1803.05449).

## License

- **License:** CC BY-SA 4.0
- All data copyright: Carnegie Mellon University & original authors

## Citation

If you use these files, please **cite the original authors**:

```bibtex
@inproceedings{zadeh2018multimodal,
  title={Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion},
  author={Zadeh, Amir and Chen, Minghai and Poria, Soujanya and Cambria, Erik and Morency, Louis-Philippe},
  booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={2236--2246},
  year={2018}
}
```