openai · OpenAI Platform Docs

Getting started with datasets | OpenAI API

Teaches the initial workflow for preparing and using datasets to evaluate model performance using the OpenAI API.

Derived skill

Files assembled from official documentation

Viewing SKILL.md

Teaches the initial workflow for preparing and using datasets to evaluate model performance using the OpenAI API.

Use when you need to set up a dataset to begin evaluating the performance of an AI model.

File	Contains	Use For
`SKILL.md`	Entry point: scope, routing table, and workflow.	Start here.
`docs/getting-started-with-datasets-openai-api-workflow-guide.md`	A guide explaining how to create datasets, upload CSV files, use the visual data interface, and build prompts for OpenAI API evaluations.	Questions about a guide explaining how to create datasets, upload CSV files, use the visual data interface, and build prompts for Ope...

Evaluations (often called evals ) test model outputs to ensure they meet your specified style and content criteria. Writing evals is an essential part of bui...
Main sections: Create a dataset, Uploading a CSV, Using the visual data interface, Build a prompt, Generate and annotate outputs.

Open the most relevant file under docs/ for the exact documented workflow and wording.
Open schemas/ files for exact structured contracts.
Open examples/ files for concrete requests, commands, snippets, and manifests.
Do not add behavior or configuration that is not present in the attached source files.