Sign inGet started
Dataset · Hugging Face

ravwojdyla/datakit-tier2-skewed-v2

Datakit Tier2 Skewed Synthetic A synthetic, heavy-tailed-document dataset generated for stress-testing the Marin datakit pipeline (normalize / minhash / fuzzy_dups / consolidate / tokenize) against doc-length outliers up to 256 MB. This is a CI / pipeline-stress dataset, not a training corpus. It exists to exercise long-tail code paths that the FineWeb-Edu smoke ferry doesn't cover. Don't use it for training without re-evaluating its distribution. Provenance… See the full description on the dataset page: https://huggingface.co/datasets/ravwojdyla/datakit-tier2-skewed-v2.

Author / organizationravwojdyla
License (as declared)odc-by
Downloads280 (as reported by Hugging Face)
Likes0
Created6 May 2026
Last updated at source6 May 2026
synthetictestingheavy-taildatakitmarin
Embed this entry
<iframe src="https://silytics.si/embed/item/cc3ae940-3732-495f-82af-b24700bae8c6" 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

280 now (-42 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: Datakit Tier2 Skewed Synthetic A synthetic, heavy-tailed-document dataset generated for stress-testing the Marin datakit pipeline (normalize / minhash / fuzzy_dups / consolidate / tokenize) against doc-length outliers up to 256 MB. This is → Datakit Tier2 Skewed Synthetic A synthetic, heavy-tailed-document dataset generated for stress-testing the Marin datakit pipeline (normalize / minhash / fuzzy_dups / consolidate / tokenize) against doc-length outliers up to 256 MB. This is

Changes detected by Silytics between refreshes of the source.

More from ravwojdyla

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 Information may be incomplete or out of date.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.