openai · OpenAI Platform Docs
Getting started with datasets
Teaches how to create and manage datasets within the OpenAI platform to facilitate model evaluations, including uploading CSV files, using the visual data interface, and building prompts for testing.
Derived skill
Files assembled from official documentation
Viewing SKILL.md
Getting started with datasets
Teaches how to create and manage datasets within the OpenAI platform to facilitate model evaluations, including uploading CSV files, using the visual data interface, and building prompts for testing.
When To Use
Use when you need to set up a structured dataset for testing model outputs, upload existing CSV data for evaluation, or manage prompt versions within the OpenAI dashboard.
Reference Files
| File | Contains | Use For |
|---|---|---|
SKILL.md | Entry point: scope, routing table, and workflow. | Start here. |
docs/getting-started-with-datasets-workflow-guide.md | A guide covering how to create datasets, upload CSV files, use the visual data interface, and build prompts for evaluations on the OpenAI platform. | Questions about a guide covering how to create datasets, upload CSV files, use the visual data interface, and build prompts for evalu... |
What This Skill Covers
- Evaluations (often called evals) test model outputs to ensure they meet your specified style and content criteria. Writing evals is an essential part of buil...
- Main sections:
Create a dataset,Uploading a CSV,Using the visual data interface,Build a prompt,Generate and annotate outputs.
Workflow
- 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.
Canonical source: https://developers.openai.com/api/docs/guides/evaluation-getting-started.md
