Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    TypeError
Message:      Value.__init__() missing 1 required positional argument: 'dtype'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 700, in get_module
                  config_name: DatasetInfo.from_dict(dataset_info_dict)
                               ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 284, in from_dict
                  return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
                File "<string>", line 20, in __init__
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 170, in __post_init__
                  self.features = Features.from_dict(self.features)
                                  ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1993, in from_dict
                  obj = generate_from_dict(dic)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1574, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                               ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1593, in generate_from_dict
                  return class_type(**{k: v for k, v in obj.items() if k in field_names})
              TypeError: Value.__init__() missing 1 required positional argument: 'dtype'

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ProteinMPNN Dataset

Dataset Description

The ProteinMPNN training sample dataset contains PDB-derived structural data for protein sequence design tasks. The data directory is pdb_2021aug02_sample, which contains a structure index table, validation and test cluster split files, and .pt structure tensor files organized by PDB and chain.

Supported Tasks

This resource is intended for validating training data loading, debugging the training workflow, and performing minimal data sanity checks for the OneScience/ProteinMPNN model. Model inference generally does not require this training dataset.

Dataset Format and Structure

Path Description
pdb_2021aug02_sample/list.csv Chain index with the header CHAINID,DEPOSITION,RESOLUTION,HASH,CLUSTER,SEQUENCE
pdb_2021aug02_sample/valid_clusters.txt Validation cluster list
pdb_2021aug02_sample/test_clusters.txt Test cluster list
pdb_2021aug02_sample/pdb/ PDB-derived .pt structure tensor files; the current sample contains 870 .pt files

Each chain file typically contains fields such as the amino acid sequence, atomic coordinates, mask, temperature factors, and occupancy.

How to Use the Dataset

Files and Download

hf download --dataset OneScience-Sugon/proteinmpnn --local-dir ./proteinmpnn_dataset

Training and debugging require the model repository to be prepared separately:

hf download --model OneScience-Sugon/ProteinMPNN

Data Placement and Validation

It is recommended to use the download directory as the data root:

export DATA_ROOT=/path/to/proteinmpnn_dataset
python tools/validate_dataset.py --data-root .

Example ProteinMPNN training script command:

python train/training.py --path_for_training_data "$DATA_ROOT/pdb_2021aug02_sample" --debug true

The training script is part of the compatible model repository and is not included in this dataset repository.

Official OneScience Information

Limitations and License

This dataset was curated and converted from wwPDB/PDB biological assemblies and is licensed under CC0-1.0.

Limitations and License

This resource is a sample-scale dataset and does not represent the complete PDB training set. It is intended primarily for ProteinMPNN data loading, training debugging, and workflow sanity checks. When using it, cite the relevant ProteinMPNN papers, upstream projects, and original PDB data sources, and comply with the ModelScope platform rules.

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