Sign inGet started
Dataset · Hugging Face

smcleish/scaling-laws-cache

This dataset is my cache for the scaling-laws related to the gemstone models. In data_cache is the approach 3 data cache with the mins for delta=1e-4, the mins for delta=1e-3 are in mins_1e-3. This is the code I used to upload it: import pandas as pd from datasets import Dataset import os import gc def get_data_dict(path): contents = os.listdir(path) ds_store = {} for i, file in enumerate(contents): gc.collect() df = pd.read_parquet(f"{path}{file}") for… See the full description on the dataset page: https://huggingface.co/datasets/smcleish/scaling-laws-cache.

Author / organizationsmcleish
License (as declared)mit
Downloads351 (as reported by Hugging Face)
Likes1
Created6 February 2025
Last updated at source7 February 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/21df7182-1000-4a68-b33c-e622a36af816" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

351 now (+14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from smcleish

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.