datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
opengloss-v1.3-definitions
See also OpenGloss v2.1 (2026-09-07): a deeper release of 109,633 of these headwords — sense-level ids, four reading levels, sense-tagged examples with spans, a judged relation graph, and retrieval supervision — published as a 16-dataset family. v1.3 remains the broader headword list.
OpenGloss Dictionary v1.3 (Definition-Level)
Dataset Summary
OpenGloss is a synthetic encyclopedic dictionary and semantic knowledge graph for English
that integrates lexicographic… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.3-definitions.opengloss-dictionary-definitions
OpenGloss Dictionary (Definition-Level)
Dataset Summary
OpenGloss is a synthetic encyclopedic dictionary and semantic knowledge graph for English that integrates lexicographic definitions, encyclopedic context, etymological histories, and semantic relationships in a unified resource.
This dataset provides the definitions-level view where each record represents one sense definition.
Key Statistics
536,829 sense definitions across 150,101 English lexemes
9.1… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-dictionary-definitions.opengloss-v1.2-definitions
OpenGloss Dictionary v1.2 (Definition-Level)
Dataset Summary
OpenGloss is a synthetic encyclopedic dictionary and semantic knowledge graph for English
that integrates lexicographic definitions, encyclopedic context, etymological histories,
and semantic relationships in a unified resource.
This dataset provides the definitions-level view where each record represents one sense definition.
Key Statistics
517,892 sense definitions
7,798,653 semantic edges… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.2-definitions.opengloss-v2.1-definitions
Superseded by OpenGloss v2.2 (2026-09-08): 148,292 live lexemes and 288,304 senses — tier 5 closes the WordNet gap (38,100 entries imported from Princeton WordNet 3.0 and enriched), inflected-form headwords are folded onto their lemmas, and every inherited field carries a migrate provenance record. v2.1 stays published for reproducibility.
OpenGloss v2.1 — Definitions
The flat definition view: one row for every stored rendition of every live sense's definition, the canonical… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v2.1-definitions.opengloss-v2.0-definitions
Superseded by OpenGloss v2.1 (2026-09-07): 109,633 lexemes and 250,003 live senses — twice this release's coverage — plus a new opengloss-v2.1-inflections form→lemma lookup. v2.0 stays published for reproducibility.
OpenGloss v2.0 — Definitions
The flat definition view: one row for every stored rendition of every live sense's definition, the canonical (neutral, plain) gloss included. This is the reading-level and register grading of OpenGloss v2.0 laid out one row at a time… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v2.0-definitions.opengloss-v2.2-definitions
Superseded by OpenGloss v2.3 (2026-09-09): tier 6 adds ~12,000 named entities (people, places, organizations, works, events) with entity_type, Wikidata ids and alias_of links, and every proper noun in the release is now typed. v2.2 stays published for reproducibility.
OpenGloss v2.2 — Definitions
The flat definition view: one row for every stored rendition of every live sense's definition, the canonical (neutral, plain) gloss included. This is the reading-level and register… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v2.2-definitions.opengloss-v2.3-definitions
OpenGloss v2.3 — Definitions
The flat definition view: one row for every stored rendition of every live sense's definition, the canonical (neutral, plain) gloss included. This is the reading-level and register grading of OpenGloss v2.3 laid out one row at a time, which is the shape most training and analysis code wants. Join back to opengloss-v2.3-senses on sense_id.
Part of the OpenGloss v2.3 release family — 16 datasets built from one
store of 160,724 lexemes and 300,787 live… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v2.3-definitions.wordnet-definitions
WordNet Multiple Definitions - Columnar Format
Overview
This dataset is an optimized columnar version of WordNet multiple definitions, designed for high-performance queries and rapid extraction.
Each definition was sourced by GPT-5 Nano. I may update this to include additional definitions in the future, but I will not break the format.
The original dataset has a more unabridged and noisy set of data; so I'm definitely going to leave it intact. Noisy training is important… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/wordnet-definitions.opengloss-v1.1-definitions
OpenGloss Dictionary v1.1 (Definition-Level)
Dataset Summary
OpenGloss is a synthetic encyclopedic dictionary and semantic knowledge graph for English
that integrates lexicographic definitions, encyclopedic context, etymological histories,
and semantic relationships in a unified resource.
This dataset provides the definitions-level view where each record represents one sense definition.
Key Statistics
506,143 sense definitions
7,701,312 semantic edges… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.1-definitions.wordnet-definitions
WordNet Multiple Definitions - Columnar Format
Overview
This dataset is an optimized columnar version of WordNet multiple definitions, designed for high-performance queries and rapid extraction.
Each definition was sourced by GPT-5 Nano. I may update this to include additional definitions in the future, but I will not break the format.
The original dataset has a more unabridged and noisy set of data; so I'm definitely going to leave it intact. Noisy training is important… See the full description on the dataset page: https://huggingface.co/datasets/proshady2/wordnet-definitions.