query
Datasets
All datasets matching “query”organic_query_results_datasetMA_Query_Expansion_MLT26denoise_eval_queryopengloss-v1.3-query-examples-flat
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 Query Examples v1.3 (Flattened)
Dataset Summary
OpenGloss Query Examples is a synthetic dataset of search queries generated for vocabulary
terms. Each term has multiple… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.3-query-examples-flat.beaver-query
Dataset Card for beaver-query
Homepage and leaderboard |
Github repository |
Paper
Beaver is a holistic framework for evaluating performance on complex, private‑enterprise text‑to‑SQL tasks.
This repository includes questions and corresponding annotations. We reserve a portion of the full question set as a private, hidden test set.
Each sample contains:
id: ID of the question
category: one of real, complex query, domain-specific query, domain-specific complex query.
real indicates… See the full description on the dataset page: https://huggingface.co/datasets/beaverbench/beaver-query.wikipedia-multilingual-synthetic-ir-query
wikipedia-multilingual-synthetic-ir-query
This dataset contains multilingual Wikipedia-derived synthetic query-document pairs for information retrieval training.
It was created with the query-crafter-multilingual model, which generates search-like queries from Wikipedia text.
The current release contains two different retrieval settings:
short_doc: pairs of (query, short document)
long_doc: pairs of (query, long document)
These two subsets are not generated in the same way… See the full description on the dataset page: https://huggingface.co/datasets/hotchpotch/wikipedia-multilingual-synthetic-ir-query.