Hacktoberfest 2026: the issues maintainers tagged for October, open and beginner-friendly. Browse Hacktoberfest issues

Test set

Open
  • Is something wrong?
#2 0 comments 1 reaction 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Quiet
Tech stack
python
Domain
machine-learning, testing

Research direction

Start by reviewing the repository's benchmark examples and checking whether the Hugging Face data is publicly available. Determine whether a held-out evaluation set exists or whether a 10–20% split is feasible without exposing its examples to training; done requires a documented decision and an agreed dataset policy.

Written by the indexing model from the issue text.

Description

Hey just wondering if there's a held out set for these examples?

Or are all problems available on Hugging Face as public?

Would be good to have a potential 10-20% held out set that can't be explicitly trained on.

Awesome work!

Dominant language
Python
Stars
212
Forks
12
No merged PRs in 30d

Getting set up

This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.

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.

More from MoonshotAI/PerceptionBench

All issues in MoonshotAI/PerceptionBench

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.