Datasets › QUASAR-T
QUASAR-T (QUestion Answering by Search And Reading – Trivia)
QUASAR-T is a large-scale dataset aimed at evaluating systems designed to comprehend a natural language query and extract its answer from a large corpus of text. It consists of 43,013 open-domain trivia questions and their answers obtained from various internet sources. ClueWeb09 serves as the background corpus for extracting these answers. The answers to these questions are free-form spans of text, though most are noun phrases.
Source: Quasar: Datasets for Question Answering by Search and Reading Image Source: Quasar: Datasets for Question Answering by Search and Reading
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Question Answering | Quasart-T | Cluster-Former (#C=512) EM 54 | Cluster-Former: Clustering-based Sparse Transformer for... | — | 7 | Compare |
Papers archive 2025-07-28
7 shown of 7 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 55. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding | 0 | 1 | 13 Sep 2020 | not harvested |
| Reformer: The Efficient Transformer | 10 | 1 | 13 Jan 2020 | ran 6 of 8 samples (2 unverified) |
| Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering | 0 | 1 | 22 Aug 2019 | not harvested |
| Generating Long Sequences with Sparse Transformers | 7 | 1 | 23 Apr 2019 | ran 5 of 6 samples (1 unverified) |
| Densely Connected Attention Propagation for Reading Comprehension | 2 | 1 | 10 Nov 2018 | not harvested |
| Denoising Distantly Supervised Open-Domain Question Answering | 1 | 1 | 1 Jul 2018 | not harvested |
| Reading Wikipedia to Answer Open-Domain Questions | 10 | 1 | 31 Mar 2017 | ran 1 of 1 samples (0 unverified; 1 pointer-only for licence) |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Quasar
- Quasart-T
- QUASAR-T
3 variant names, as the archive lists them.
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