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Datasets:
SamsungSAILMontreal
/
deepnets1m

Tasks:
Graph Machine Learning
Image Classification
Size Categories: 1M<n<10M
ArXiv:
License:
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    FileNotFoundError
Message:      Couldn't find a dataset script at /src/services/worker/SamsungSAILMontreal/deepnets1m/deepnets1m.py or any data file in the same directory. Couldn't find 'SamsungSAILMontreal/deepnets1m' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in SamsungSAILMontreal/deepnets1m. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
                  raise FileNotFoundError(
              FileNotFoundError: Couldn't find a dataset script at /src/services/worker/SamsungSAILMontreal/deepnets1m/deepnets1m.py or any data file in the same directory. Couldn't find 'SamsungSAILMontreal/deepnets1m' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in SamsungSAILMontreal/deepnets1m.

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This is a copy of the DeepNets-1M dataset originally released at https://github.com/facebookresearch/ppuda under the MIT license.

The dataset presents diverse computational graphs (1M training and 1402 evaluation) of neural network architectures used in image classification. See detailed description at https://paperswithcode.com/dataset/deepnets-1m and in the Parameter Prediction for Unseen Deep Architectures paper.

There are four files in this dataset:

  • deepnets1m_eval.hdf5; # 16 MB (md5: 1f5641329271583ad068f43e1521517e)
  • deepnets1m_meta.tar.gz; # 35 MB (md5: a42b6f513da6bbe493fc16a30d6d4e3e), run tar -xf deepnets1m_meta.tar.gz to unpack it before running any code reading the dataset
  • deepnets1m_search.hdf5; # 1.3 GB (md5: 0a93f4b4e3b729ea71eb383f78ea9b53)
  • deepnets1m_train.hdf5; # 10.3 GB (md5: 90bbe84bb1da0d76cdc06d5ff84fa23d)

Citation

If you use this dataset, please cite it as:

@inproceedings{knyazev2021parameter,
  title={Parameter Prediction for Unseen Deep Architectures},
  author={Knyazev, Boris and Drozdzal, Michal and Taylor, Graham W and Romero-Soriano, Adriana},
  booktitle={Advances in Neural Information Processing Systems},
  year={2021}  
}
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