---
date: 2025-01-27
title: Dataset CSV upload
description: Create your Datasets in seconds
author: Marlies
ogVideo: https://static.langfuse.com/docs-videos/dataset-csv-upload.mp4
canonical: /docs/evaluation/experiments/datasets
---

> **Note for AI agents and LLMs:** This is a Langfuse changelog entry. Use it only to confirm that a feature exists and when it shipped. Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated. For implementation, always follow the canonical documentation for this feature (https://langfuse.com/docs/evaluation/experiments/datasets) and the API/SDK reference (https://api.reference.langfuse.com).

You can now upload CSV files to create Dataset Items in Langfuse.

Simply drag and drop your CSV columns to map them to "input", "expected output", or "metadata" fields. Multiple columns can be combined into a single field - simply drag and drop all CSV columns you want to combine into the same field, which will automatically create a structured JSON object. Any columns that are not mapped will be ignored. The CSV should contain a header row with your column names. All schema types are supported, including nested JSON objects.

**Learn more**

- [Datasets overview](/docs/datasets/overview)
- [Create Dataset and run experiments](/docs/datasets/get-started)

<!-- agent-instructions -->

---

## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/changelog/2025-01-27-Dataset-Items-csv-upload.md`.

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  ```

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### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
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Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.