---
date: 2025-12-11
title: Batch Add Observations to Datasets
description: Select multiple observations from the observations table and add them to a new or existing dataset with flexible field mapping.
author: Hassieb
ogImage: /images/changelog/2025-12-11-batch-add-observations-to-datasets.jpg
---

> **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 Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated.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 current documentation (https://langfuse.com/docs) and the API/SDK reference (https://api.reference.langfuse.com).

You can now **bulk add observations to datasets** directly from the observations table. This feature makes it easy to build test datasets from production data by selecting multiple observations and mapping their fields to dataset items.

## How it works

1. Navigate to the **Observations table**
2. **Use filters** to find relevant observations (optional)
3. **Select Observations** using the checkboxes
4. **Click Actions** → Add to dataset
5. Choose to create a new dataset or select an existing one
6. **Configure field mapping** to control how observation data maps to dataset item fields
7. **Preview the mapping and confirm**

## Flexible field mapping

The field mapping system gives you control over how observation data is transformed into dataset items. You can use the entire field as-is (e.g., map the full observation input to the dataset item input), extract specific values using JSON path expressions or build custom objects from multiple fields.

  ![Field mapping](/images/changelog/2025-12-11-fieldmapping.png)

## Background processing

Batch operations run in the background, allowing you to continue working while observations are added to your dataset. You can monitor progress and view results in the batch actions settings page.

The system supports partial success - if some observations fail validation against a dataset schema, the valid ones are still added and errors are logged for review.

## Learn more

- [Datasets Documentation](/docs/evaluation/experiments/datasets#batch-add-observations-to-datasets)

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