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Datasets:
hdong51
/
Human-Animal-Cartoon

Tasks:
Zero-Shot Classification
Modalities:
Audio
Video
Languages:
English
Size:
1K<n<10K
ArXiv:
Tags:
Domain Generalization
Multimodal Learning
License:
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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'door_opening_1.mp4', '6'}) and 2 missing columns ({'0', 'AXrvCEVn5HM-001.mp4'}).

This happened while the csv dataset builder was generating data using

hf://datasets/hdong51/Human-Animal-Cartoon/HAC_train_only_cartoon.csv (at revision e74938ea09a8b296f6fd8afbb89bfc53dcbc9100)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              door_opening_1.mp4: string
              6: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 496
              to
              {'AXrvCEVn5HM-001.mp4': Value(dtype='string', id=None), '0': Value(dtype='int64', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1572, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1136, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'door_opening_1.mp4', '6'}) and 2 missing columns ({'0', 'AXrvCEVn5HM-001.mp4'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/hdong51/Human-Animal-Cartoon/HAC_train_only_cartoon.csv (at revision e74938ea09a8b296f6fd8afbb89bfc53dcbc9100)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

AXrvCEVn5HM-001.mp4
string
0
int64
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0
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0
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0
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0
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1
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1
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1
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1
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1
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1
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3
End of preview.

Human-Animal-Cartoon dataset

Our Human-Animal-Cartoon (HAC) dataset consists of seven actions (‘sleeping’, ‘watching tv’, ‘eating’, ‘drinking’, ‘swimming’, ‘running’, and ‘opening door’) performed by humans, animals, and cartoon figures, forming three different domains. We collect 3381 video clips from the internet with around 1000 for each domain and provide three modalities in our dataset: video, audio, and pre-computed optical flow.

The dataset can be used for Multi-modal Domain Generalization and Adaptation. More details are in SimMMDG paper and code.

Related Projects

SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization

MOOSA: Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities

Citation

If you find our dataset useful in your research please consider citing our paper:

@inproceedings{dong2023SimMMDG,
    title={Sim{MMDG}: A Simple and Effective Framework for Multi-modal Domain Generalization},
    author={Dong, Hao and Nejjar, Ismail and Sun, Han and Chatzi, Eleni and Fink, Olga},
    booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
    year={2023}
}
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