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Upload dataset (part 00001-of-00002)

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README.md CHANGED
@@ -4,6 +4,15 @@ license: cc-by-4.0
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  size_categories:
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  - 100k<n<1M
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  pretty_name: 'Microbiome Immunity Project: Protein Universe'
 
 
 
 
 
 
 
 
 
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  tags:
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  - chemistry
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  - biology
@@ -46,17 +55,15 @@ citation_apa: Koehler Leman, J., Szczerbiak, P., Renfrew, P. D., Gligorijevic, V
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  Fisk, I., Xavier, R. J., Knight, R., Bonneau, R., Kosciolek, T. (2023). Sequence-structure-function
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  relationships in the microbial protein universe. Nature Communications, 14(1), 2351.
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  doi:10.1038/s41467-023-37896-w
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- config_names:
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- - rosetta_high_quality_models
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- - rosetta_low_quality_models
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- - dmpfold_high_quality_models
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- - dmpfold_low_quality_models
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- - rosetta_high_quality_function_predictions
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- - rosetta_low_quality_function_predictions
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- - dmpfold_high_quality_function_predictions
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- - dmpfold_low_quality_function_predictions
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-
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  configs:
 
 
 
 
 
 
 
 
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  - config_name: rosetta_high_quality_models
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  data_files:
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  - split: train
@@ -65,16 +72,40 @@ configs:
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  data_files:
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  - split: train
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  path: rosetta_low_quality_models/data/train-*
 
 
 
 
 
 
 
 
 
 
 
 
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  - config_name: dmpfold_high_quality_models
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- data_files:
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- - split: train
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- path: dmpfold_high_quality_models/data/train-*
 
 
 
 
 
 
 
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  - config_name: dmpfold_low_quality_models
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- data_files:
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- - split: train
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- path: dmpfold_low_quality_models/data/train-*
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-
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- dataset_info:
 
 
 
 
 
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  - config_name: rosetta_high_quality_models
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  features:
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  - name: id
@@ -101,7 +132,13 @@ dataset_info:
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  dtype: float64
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  splits:
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  - name: train
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-
 
 
 
 
 
 
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  - config_name: rosetta_low_quality_models
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  features:
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  - name: id
@@ -128,42 +165,6 @@ dataset_info:
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  dtype: float64
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  splits:
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  - name: train
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- - config_name: dmpfold_high_quality_models
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- features:
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- - name: id
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- dtype: string
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- - name: pdb
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- dtype: large_string
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- splits:
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- - name: train
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- - config_name: dmpfold_low_quality_models
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- features:
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- - name: id
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- dtype: string
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- - name: pdb
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- dtype: large_string
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- splits:
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- - name: train
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- - config_name: rosetta_high_quality_function_predictions
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- splits:
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- - name: train
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- - config_name: rosetta_low_quality_function_predictions
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- splits:
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- - name: train
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- - config_name: dmpfold_high_quality_function_predictions
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- splits:
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- - name: train
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- - config_name: dmpfold_low_quality_function_predictions
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- splits:
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- - name: train
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- - config_name: DeepFRI_labels
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- features:
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- - name: label_id
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- dtype: string
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- - name: label_description
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- dtype: string
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- splits:
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- - name: train
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  ---
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  # Microbiome Immunity Project: Protein Universe
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  ~200,000 predicted structures for diverse protein sequences from 1,003
 
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  size_categories:
5
  - 100k<n<1M
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  pretty_name: 'Microbiome Immunity Project: Protein Universe'
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+ config_names:
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+ - rosetta_high_quality_models
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+ - rosetta_low_quality_models
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+ - dmpfold_high_quality_models
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+ - dmpfold_low_quality_models
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+ - rosetta_high_quality_function_predictions
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+ - rosetta_low_quality_function_predictions
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+ - dmpfold_high_quality_function_predictions
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+ - dmpfold_low_quality_function_predictions
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  tags:
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  - chemistry
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  - biology
 
55
  Fisk, I., Xavier, R. J., Knight, R., Bonneau, R., Kosciolek, T. (2023). Sequence-structure-function
56
  relationships in the microbial protein universe. Nature Communications, 14(1), 2351.
57
  doi:10.1038/s41467-023-37896-w
 
 
 
 
 
 
 
 
 
 
58
  configs:
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+ - config_name: dmpfold_high_quality_models
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+ data_files:
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+ - split: train
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+ path: dmpfold_high_quality_models/data/train-*
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+ - config_name: dmpfold_low_quality_models
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+ data_files:
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+ - split: train
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+ path: dmpfold_low_quality_models/data/train-*
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  - config_name: rosetta_high_quality_models
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  data_files:
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  - split: train
 
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  data_files:
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  - split: train
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  path: rosetta_low_quality_models/data/train-*
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+ dataset_info:
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+ - config_name: DeepFRI_labels
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+ features:
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+ - name: label_id
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+ dtype: string
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+ - name: label_description
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+ dtype: string
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+ splits:
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+ - name: train
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+ - config_name: dmpfold_high_quality_function_predictions
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+ splits:
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+ - name: train
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  - config_name: dmpfold_high_quality_models
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: pdb
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+ dtype: large_string
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+ splits:
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+ - name: train
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+ - config_name: dmpfold_low_quality_function_predictions
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+ splits:
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+ - name: train
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  - config_name: dmpfold_low_quality_models
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: pdb
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+ dtype: large_string
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+ splits:
105
+ - name: train
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+ - config_name: rosetta_high_quality_function_predictions
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+ splits:
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+ - name: train
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  - config_name: rosetta_high_quality_models
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  features:
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  - name: id
 
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  dtype: float64
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  splits:
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  - name: train
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+ num_bytes: 26605961354
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+ num_examples: 211069
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+ download_size: 9111917881
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+ dataset_size: 26605961354
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+ - config_name: rosetta_low_quality_function_predictions
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+ splits:
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+ - name: train
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  - config_name: rosetta_low_quality_models
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  features:
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  - name: id
 
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  dtype: float64
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  splits:
167
  - name: train
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Microbiome Immunity Project: Protein Universe
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  ~200,000 predicted structures for diverse protein sequences from 1,003
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