examples/raw_vocab.py

import huggingface_hub
from datasets import load_dataset
import numpy as np

# Load and use; 
# Should be able to just paste this into colab and it'll work with no fuss.

# -> streaming=False downloads the split -> cannot stream a split from disk according to HF datasets currently.
ds = load_dataset("AbstractPhil/geometric-vocab", name="unicode_64d", split='train', streaming=False)

test_crystal = {}
# This is NOT for production use. This is an example showing loading the repo, preparing a crystal and then breaking.
# For production; you will want to batch with workers, prefetch, and implement proper accel, pyring, or a combination of multi-gpu capable systems.
for item in ds:
    token = item['token']           # Our token; raw string or character depending on need. For us is unicode so character.
    crystal_flat = item['crystal']  # Flattened array, we need to shape this to our correct form.
    
    # Reshape to 5 vertices × 64 dimensions.
    crystal = np.array(crystal_flat).reshape(5, 64)
    
    volume = item['volume']  # Cayley-Menger volume, used to calculate trajectory and delta to prevent combination variants from overlapping.
    test_crystal = {
        "token": token,
        "crystal": crystal,
        "volume": volume
    }
    break

print("Test case;\n")
print(test_crystal)