load_custom_dataset_from_folder

[srashtchi]

Hi Silvia

I managed to get my code running fine, thanks for your response.

I have another question , I am trying to make the code smoother, right now in order to create a dataset object I have to save my variable to a .tsv file first, and then use the load_custom_dataset_from_folder method to load the data from .tsv into empty dataset object. without this object obviously the get_corpus() method wouldn't do its magic. See the sample code below.

So basically the question is: is there a way to directly pass my variable to a dataset object without saving and loading?

from octis.dataset.dataset import Dataset
f=Path('/myFolderPath/corpus.tsv')
df.to_csv(f, sep="\t", index=False, header=False, columns = ['document'])

dataset = Dataset()
dataset.load_custom_dataset_from_folder('/myFolderPath/')

texts=dataset.get_corpus()

Originally posted by @srashtchi in #68 (comment)

[srashtchi]

Is there any chance you could respond to this question?

[silviatti]

Hello, sorry for the late reply.
If you need the dataset only for the computation of the coherence, then you can directly define the "texts" as a list of lists of strings. I.e.

texts=[['a', 'b', 'c'], ['a', 'd', 'e'], ...]

This will not require to save and load the dataset.
Let me know if this helped :)

Silvia

[srashtchi]

Thank for the quick reply. I will try this.