Prerequisites
Before you begin, make sure you have:- An Athina account and API key (you can sign up for free here)
- Python installed on your system
- The necessary Python libraries:
datasets
,athina-client
Step-by-Step Guide
0. Get your Athina API Key
You can get an Athina API key by signing up at https://app.athina.ai1. Install Required Libraries
Install and import the required libraries to get started.2. Load the Dataset from HuggingFace
3. Log the Dataset to Athina
We’ll use theathina_client
library to log the dataset to Athina.
Athina is a collaborative IDE that lets teams experiment, evaluate, and monitor AI applications in a spreadsheet-like UI.
What Can You Do After Creating a Dataset?
- Run dynamic prompts on every row, using other columns as variables.
- Transform the dataset by executing custom code.
- Create custom evaluations or run 50+ preset evals and view metrics in a powerful dashboard.
- Use dynamic columns to classify text, retrieve data, extract entities, transform data, fetch from external APIs, and more.
- Experiment with multiple combinations of prompts and models simultaneously.