tensorflow / tensorflow/datasets

Customizing Splits

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Description

Hello, I was wondering how to can I change the splits of the dataset.
I am currently working on the SAMSum dataset and validation part is 5% of the dataset size and I would like to take some of the examples in the train part to make the validation part reach 10%
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Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Review how the SAMSum dataset currently defines its train and validation splits, then look for the documented dataset-loading or split-customization entry points. Done means confirming whether examples can be moved from train so validation reaches 10%, and documenting or implementing the supported approach.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, tensorflow
Domain
data
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

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