> For the complete documentation index, see [llms.txt](https://docs.easy-dataset.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.easy-dataset.com/ed/en/datasets/dataset-generation.md).
# Dataset Generation
### Generate a Single Dataset
Click on the magic wand 🪄 icon on a single question to generate an answer (construct a dataset) for that question:
After generating an answer for the question, the number of answers already generated will be displayed on the right side (a single question can generate multiple answers):
{% hint style="info" %}
Easy DataSet generates answers based on the question + the text block corresponding to the question + domain tags together, to ensure the relevance of the answer to the literature itself.
{% endhint %}
When a reasoning model is selected in the upper right corner, the chain of thought (COT) in the model's reasoning process will be preserved:
You can filter questions with generated answers and questions without generated answers:
### Batch Generate Datasets
You can multi-select or select all questions to batch produce answers:
You can view the progress of batch tasks:
{% hint style="info" %}
When a batch task is in progress, closing or refreshing the current page will interrupt the task. You can open a new page to check the already generated answers in dataset management.
{% endhint %}
### Dataset Generation Configuration
The number of concurrent tasks in Task Settings - Question Generation Settings can still control the maximum number of concurrent tasks for batch dataset generation:
{% hint style="info" %}
The larger the maximum number of concurrent tasks, the faster the dataset generation task, and vice versa. Pay attention to the maximum concurrency limit of the model provider.
{% endhint %}
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.easy-dataset.com/ed/en/datasets/dataset-generation.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
