Sign inGet started
Dataset · Hugging Face

mjbommar/opengloss-v2.4-retrieval-pairs

OpenGloss v2.4 — Retrieval Pairs Binary-labelled text pairs mined straight off the release with no model call: two example sentences of the same sense (positive), one example from each of two senses of the same headword (the hard word-in-context negative), an example paired with its own sense's gloss (positive), and optional sampled cross-headword same-domain negatives. Every pair carries both spans, both reading levels, and live_senses, so a consumer can filter or reweight by… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v2.4-retrieval-pairs

Author / organizationmjbommar
License (as declared)cc-by-4.0
Downloads547 (as reported by Hugging Face)
Likes0
Created25 September 2026
Last updated at source25 September 2026
openglosssyntheticlexicographyenglishwicword-sense-disambiguationcontrastive-learningembeddings
Embed this entry
<iframe src="https://silytics.si/embed/item/38633d69-f7cf-4142-bd18-373e2e0fed36" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 5 days

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

More from mjbommar

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.