confident-ai/deepeval

Support popular benchmarks

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#508 opened on Feb 22, 2024

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enhancementhelp wanted

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Description

Currently, users of deepeval can only create their own evaluation dataset/test cases. To support more users fine-tuning their model, deepeval should be able to import standard benchmarks such as MMLU, hellaswag, TruthfulQA, Big Bench, etc.

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Contributor guide

Research direction
Investigate the existing dataset and test case creation mechanisms in deepeval, then design a way to import standard benchmarks like MMLU, Hellaswag, TruthfulQA, and Big Bench. Provide examples of how to load and use these benchmarks in the framework.
Tech stack
python
Domain
machine learningaitesting
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
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.
Clear
Prerequisites
GitPython
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60