Is There An Elegant Way Of Accessing A Specific File Entry From A Dataset Without Using Io Operations To Locate The File From The Cache Folder? The File Is Intended To Be Used To Create A Dataframe. At The Moment I'M Using The Code Below. The Problem Is T

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Is there an elegant way of accessing a specific file entry from a dataset without using IO operations to locate the file from the cache folder? The file is intended to be used to create a dataframe. At the moment I'm using the code below. The problem is that as files are added to the dataset, the index of the target file changes and the logic has to be adjusted. Perhaps this is possible by logging a dataframe artifact and using the storage manager to retrieve the artifact?

dataset = Dataset.get(
  dataset_project="Project",
  dataset_name="Dataset name",
  alias="something"
  ).get_local_copy()

file_for_df = os.path.join(dataset, os.listdir(dataset)[2])

  				
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	one year ago

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					SkinnyBat30
				
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Thanks. @<1584716355783888896:profile|CornyHedgehog13> , I considered this. is the chunk order deterministic? As in, can I rely on chunk [0] always referring to the same file object if additional files are added?

  				
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	one year ago

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					SkinnyBat30
				
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There is no natural way to expose single files in Datasets. However it looks like you found an appropriate workaround 🙂

  				
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	one year ago

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					CostlyOstrich36
				
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It is deterministic. When you do Dataset.get(), clearML downloads file state.json, where you can see all relative file paths and chunks number

  				
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	one year ago

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					CornyHedgehog13
				
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Thanks!

  				
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	one year ago

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					SkinnyBat30
				
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You can get a chunk number that contains your file and download that chunk

  				
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	one year ago

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					CornyHedgehog13
				
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I found this... It works as long as the initial data files uploaded are converted to csv files (e.g., excel, .sav, .spss etc).

preprocess_task = Task.get_task(task_id='xxx123')
local_csv = preprocess_task.artifacts['data'].get_local_copy()

  				
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	one year ago

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					SkinnyBat30
				
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one year ago