Getting below error while creating dataset

sudhakar pandey 1

{
"error": {
"code": "UserError",
"message": "Cannot load any data from the specified path. Make sure the path is accessible and contains data.\nScriptExecutionException was caused by StreamAccessException.\r\n StreamAccessException was caused by NotFoundException.\r\n Found no resources for the input provided: '[REDACTED]'\r\n| session_id=9d60cf18-54e5-457a-910d-5dcd223fa0a0"
}
}

Code I am using is

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Import required azureml classes

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from azureml.core import Workspace, Datastore, Dataset

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Access the workspace from the config.json

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ws = Workspace.from_config(path="./config")

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Access datastore by its name

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az_store = Datastore.get(ws, "workspaceblobstore")

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Create and register the dataset

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Create the path of the csv file

csv_path = [(az_store, "azureml/EmployeeAC1.csv")]

Create the dataset

loan_dataset = Dataset.Tabular.from_delimited_files(path=csv_path)

loan_dataset = loan_dataset.register(workspace=ws,
name="Employee Using SDK",
create_new_version=True)

Ramr-msft 17,741 Reputation points

2021-10-11T12:34:06.027+00:00

@sudhakar pandey Thanks for the question. Below is the link to document for accessing the data. Can you please add more details about the az_store that you are getting.

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-access-data

Access Validation:https://learn.microsoft.com/en-us/azure/machine-learning/how-to-access-data#access-validation

Ramr-msft 17,741

@sudhakar pandey Thanks, Here is the link to create a Tabular dataset: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-register-datasets#create-a-tabulardataset

from azureml.core import Workspace, Datastore, Dataset  
  
datastore_name = 'your datastore name'  
  
# get existing workspace  
workspace = Workspace.from_config()  
      
# retrieve an existing datastore in the workspace by name  
datastore = Datastore.get(workspace, datastore_name)  
  
# create a TabularDataset from 3 file paths in datastore  
datastore_paths = [(datastore, 'weather/2018/11.csv'),  
                   (datastore, 'weather/2018/12.csv'),  
                   (datastore, 'weather/2019/*.csv')]  
  
weather_ds = Dataset.Tabular.from_delimited_files(path=datastore_paths)

Ramr-msft 17,741 Reputation points

2021-11-03T12:40:23.65+00:00

@sudhakar pandey Thanks for the details. We are not seeing any error while creating dataset.

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Getting below error while creating dataset

-----------------------------------------------------

Import required azureml classes

-----------------------------------------------------

-----------------------------------------------------

Access the workspace from the config.json

-----------------------------------------------------

-----------------------------------------------------

Access datastore by its name

-----------------------------------------------------

-----------------------------------------------------

Create and register the dataset

-----------------------------------------------------

Create the path of the csv file

Create the dataset

Create the dataset

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