# Invent a Dataset

## Create training datasets from intent, not existing data.

### Enterprise Saas

A collection of customer reviews describing hotel stays, focusing on service, room quality, location, and amenities. The dataset should include both positive and negative experiences.

### Support Operations

A dataset of customer support inquiries and corresponding responses, covering issues such as product information, technical troubleshooting, billing disputes, and service returns.

### Low-resource languages

A dataset containing Vietnamese real estate listings, primarily featuring detailed textual descriptions of properties for sale or rent.

### Regulated Industries

A dataset of medical question-answer pairs covering diagnoses, treatments, drug explanations, and healthcare roles. Each entry includes a prompt and a detailed, expert-generated response.

## The bottleneck to AI progress is high quality data.

#### Most dataset workflows start with data already on hand. Your performance is limited to what data you had time to collect or acquire. Invent a Dataset changes that by allowing you to automatically generate the dataset you require.

### Before

Tedious, upfront data modeling and hunting for examples

Invest weeks in labeling, filtering, reshaping

Train a model limited by the available data

### After

Start with the task itself, no schema or seed corpus required

Intent drives dataset structure

Improve model performance with problem-specific data

## Invent a Dataset is part of Adaption's Adaptive Data pillar.

# Adaptive Data

### Evolve your data. Command your AI.

[Learn More •](https://adaptionlabs.ai/adaptive-data)[Talk to an AI Systems Expert](https://adaptionlabs.ai/book-a-call)