Setup Evaluation

Repository metrics

Stars

0 stars (0 stars)

PR merge metrics

No merged PRs in 30d (No merged PRs in 30d)

Description

Contributor guide

Research direction

Examine the linked repositories and explore how to set up evaluation benchmarks for LLMs.

Tech stack

python

Domain

machine learning

Issue type

Research

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

2

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-3 hours

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

Active

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

Unclear

Prerequisites

None

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

30