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Development Guide for Ragas Monorepo
This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.
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version: 2
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.DS_Store
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CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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Pre-commit configuration for entire ragas monorepo
repos:
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Dockerfile
test_resources
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<p align="center">
<img src="https://github.com/confident-ai/deepeval/blob/main/docs/static/img/deepeval.png" alt="DeepEval Logo" width="100%">
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repos:
- repo: https://github.com/psf/black
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Byte-compiled / optimized / DLL files
__pycache__/
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Contributing to DeepEval 🥳
Thanks for thinking about contributing to DeepEval! We accept fixes, improvements, or even entire new features. Some reasons why you might want to contribute:
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Apache License
Version 2.0, January 2004
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Maintainers
For issues in this repo you can mention one or more of:
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Model-Written Evaluation Datasets
This repository includes datasets written by language models, used in our paper on "Discovering Language Model Behaviors with Model-Written Evaluations."
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*.py
*.ipynb
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repos:
- repo: https://github.com/pre-commit/mirrors-mypy
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Security Policy
For a more in-depth look at our security policy, please check out our [Coordinated Vulnerability Disclosure Policy](https://openai.com/security/disclosure/#:~:text=Disclosure%20Policy,-Security%20is%20essential&text=OpenAI%27s%20coordinated%20vulnerability%20disclosure%20policy,expect%20from%20us%20
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OpenAI Evals
> You can now configure and run Evals directly in the OpenAI Dashboard. [Get started →](https://platform.openai.com/docs/guides/evals)
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MIT License
Copyright (c) 2023 OpenAI
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evals/registry/data/**/*.jsonl filter=lfs diff=lfs merge=lfs -text
generic skill
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__pycache__/
evals.egg-info/
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macOS system files
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Language Model Evaluation Harness
[](https://doi.org/10.5281/zenodo.10256836)
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MIT License
Copyright (c) 2020 EleutherAI
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