mlx-community/mlx_lm_calibration_v5 · Datasets at Hugging Face

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"===========\n; A072257: a(n) = ((6n-17)4^n - 1)/3.\n; -6,-15,-27,21,597,4437,25941,136533,677205,(...TRUNCATED)

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"===========\n; A072257: a(n) = ((6*n-17)*4^n - 1)/3.\n; -6,-15,-27,21,597,4437,25941,136533,677205,(...TRUNCATED)

Code to create the dataset:

from datasets import Dataset, DatasetDict

from pathlib import Path
save_dir = Path.home() / ".cache/mlx-lm/calibration_v5.txt"
if not save_dir.exists():
    from urllib import request

    save_dir.parent.mkdir(parents=True, exist_ok=True)
    url = "https://gist.githubusercontent.com/tristandruyen/9e207a95c7d75ddf37525d353e00659c/raw/571fda718462de863e5a0171078c175420c7649a/calibration_data_v5_rc.txt"
    request.urlretrieve(url, save_dir)
with open(save_dir) as fid:
    texts = fid.read()

def gen():
    yield {"text": texts}
ds = Dataset.from_generator(gen)

ds = DatasetDict({"train": ds})
ds.push_to_hub("mlx-community/mlx_lm_calibration_v5")