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Datasets:
RosettaCommons
/
MIP

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Languages:
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Tags:
chemistry
biology
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1
MIP
File size: 4,468 Bytes 
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# install huggingface_hub from the command line:
#
#    pip install huggingface_hub
#    pip install datasets
#
# Log into huggingface hub
#  
#    huggingface-cli login
# 
# This will ask you for an access token


import datasets

##### rosetta_high_quality_models #######
dataset = datasets.load_dataset(
    "parquet",
    name = "rosetta_high_quality_models",
    data_dir = "./intermediate",
    data_files = {"train" : "rosetta_high_quality_models.parquet"},
    cache_dir = "/scratch/maom_root/maom0/maom",
    split = "train",
    keep_in_memory = True)

dataset.push_to_hub(
    repo_id = "RosettaCommons/MIP",
    config_name = "rosetta_high_quality_models",
    data_dir = "rosetta_high_quality_models/data")



##### rosetta_low_quality_models #######
dataset = datasets.load_dataset(
    "parquet",
    name = "rosetta_low_quality_models",
    data_dir = "./intermediate",
    data_files = {"train" : "rosetta_low_quality_models.parquet"},
    cache_dir = "/scratch/maom_root/maom0/maom",
    split = "train",
    keep_in_memory = True)

dataset.push_to_hub(
    repo_id = "RosettaCommons/MIP",
    config_name = "rosetta_low_quality_models",
    data_dir = "rosetta_low_quality_models/data")


##### dmpfold_high_quality_models #######
dataset = datasets.load_dataset(
    "parquet",
    name = "dmpfold_high_quality_models",
    data_dir = "./intermediate",
    data_files = {"train" : "dmpfold_high_quality_models.parquet"},
    cache_dir = "/scratch/maom_root/maom0/maom",
    split = "train",
    keep_in_memory = True)

dataset.push_to_hub(
    repo_id = "RosettaCommons/MIP",
    config_name = "dmpfold_high_quality_models",
    data_dir = "dmpfold_high_quality_models/data")



##### dmpfold_low_quality_models #######
dataset = datasets.load_dataset(
    "parquet",
    name = "dmpfold_low_quality_models",
    data_dir = "./intermediate",
    data_files = {"train" : "dmpfold_low_quality_models.parquet"},
    cache_dir = "/scratch/maom_root/maom0/maom",
    split = "train",
    keep_in_memory = True)

dataset.push_to_hub(
    repo_id = "RosettaCommons/MIP",
    config_name = "dmpfold_low_quality_models",
    data_dir = "dmpfold_low_quality_models/data")

##########################
## Function Predictions ##
##########################

#### rosetta_high_quality_function_predictions
dataset = datasets.load_dataset(
    "parquet",
    name = "rosetta_high_quality_function_predictions",
    data_dir = "./intermediate",
    data_files = {"train" : "rosetta_high_quality_function_predictions.parquet"},
    cache_dir = "/scratch/maom_root/maom0/maom",
    split = "train",
    keep_in_memory = True)

dataset.push_to_hub(
    repo_id = "RosettaCommons/MIP",
    config_name = "rosetta_high_quality_function_predictions",
    data_dir = "rosetta_high_quality_function_predictions/data")

#### rosetta_low_quality_function_predictions
dataset = datasets.load_dataset(
    "parquet",
    name = "rosetta_low_quality_function_predictions",
    data_dir = "./intermediate",
    data_files = {"train" : "rosetta_low_quality_function_predictions.parquet"},
    cache_dir = "/scratch/maom_root/maom0/maom",
    split = "train",
    keep_in_memory = True)

dataset.push_to_hub(
    repo_id = "RosettaCommons/MIP",
    config_name = "rosetta_low_quality_function_predictions",
    data_dir = "rosetta_low_quality_function_predictions/data")




#### dmpfold_high_quality_function_predictions
dataset = datasets.load_dataset(
    "parquet",
    name = "dmpfold_high_quality_function_predictions",
    data_dir = "./intermediate",
    data_files = {"train" : "dmpfold_high_quality_function_predictions.parquet"},
    cache_dir = "/scratch/maom_root/maom0/maom",
    split = "train",
    keep_in_memory = True)

dataset.push_to_hub(
    repo_id = "RosettaCommons/MIP",
    config_name = "dmpfold_high_quality_function_predictions",
    data_dir = "dmpfold_high_quality_function_predictions/data")

#### dmpfold_low_quality_function_predictions
dataset = datasets.load_dataset(
    "parquet",
    name = "dmpfold_low_quality_function_predictions",
    data_dir = "./intermediate",
    data_files = {"train" : "dmpfold_low_quality_function_predictions.parquet"},
    cache_dir = "/scratch/maom_root/maom0/maom",
    split = "train",
    keep_in_memory = True)

dataset.push_to_hub(
    repo_id = "RosettaCommons/MIP",
    config_name = "dmpfold_low_quality_function_predictions",
    data_dir = "dmpfold_low_quality_function_predictions/data")