---
license: mit
---

A dataset consisting of Pokémon embeddings: text embeddings encoded from large amount of Pokémon metadata using [nomic-ai/nomic-embed-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5), and image embeddings encoded from the official Pokémon artwork using [nomic-ai/nomic-embed-vision-v1.5](https://huggingface.co/nomic-ai/nomic-embed-vision-v1.5).

No other metadata is present to avoid invoking the Nintendo Ninjas. To see how to retrieve additional metadata, see the "Get More Metadata" section.

## Fields

- `id`: Pokémon National Dex ID, which mapes to PokeAPI. "Special" Pokemon will have an id > 10000.
- `text_embedding`: 768D embedding of Pokémon medatadata
- `image_embedding`: 768D embedding of Pokémon images.
- `umap_2d_x`: x-coordinate value of a UMAP projection to 2D by concatenating the embeddings.
- `umap_2d_y`: y-coordinate value of a UMAP projection to 2D by concatenating the embeddings.

## Get More Metadata

You can retrieve more metadata using PokeAPI. An example:

```py3
import requests

graphql_query = """
{
  pokemon_v2_pokemon(order_by: {id: asc}) {
    id
    name
  }
}
"""

r = requests.post(
    "https://beta.pokeapi.co/graphql/v1beta",
    json={
        "query": graphql_query,
    },
)

pokemon = r.json()["data"]["pokemon_v2_pokemon"]
pokemon[0:10]
```