Error code:   ConfigNamesError
Exception:    TypeError
Message:      'str' object is not a mapping
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 165, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1664, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1621, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 992, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 386, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 317, in _from_yaml_dict
                  yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2035, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2031, in from_yaml_inner
                  return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2031, in <dictcomp>
                  return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2028, in from_yaml_inner
                  return {"_type": snakecase_to_camelcase(_type), **unsimplify(obj)[_type]}
              TypeError: 'str' object is not a mapping

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CMU-MOSEI: Computational Sequences (Unofficial Mirror)

This repository provides a mirror of the official computational sequence files from the CMU-MOSEI dataset, 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.

Usage

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

Source

Original dataset: CMU-MOSEI on Github
Official paper: Zadeh, A. et al. (2018). CMU-MOSEI: A Multimodal Language Dataset for Sentiment and Emotion Analysis.

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:

@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}
}

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