Datasets › WikiQA

WikiQA (Wikipedia open-domain Question Answering)

Introduced by Yi Yang et al. in WikiQA: A Challenge Dataset for Open-Domain Question Answering1 Jan 2015 archive 2025-07-28

The WikiQA corpus is a publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering. In order to reflect the true information need of general users, Bing query logs were used as the question source. Each question is linked to a Wikipedia page that potentially has the answer. Because the summary section of a Wikipedia page provides the basic and usually most important information about the topic, sentences in this section were used as the candidate answers. The corpus includes 3,047 questions and 29,258 sentences, where 1,473 sentences were labeled as answer sentences to their corresponding questions.

Source: http://aka.ms/WikiQA Image Source: Yang et al

Benchmarks archive 2025-07-28

All 2 leaderboards 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)PaperCode
Question Answering WikiQA TANDA-DeBERTa-V3-Large + ALL MAP 0.927 Structural Self-Supervised Objectives for Transformers lucadiliello/transformers-framework 25 Compare
Answer Selection WikiQA RLAS-BIABC MAP 0.888 RLAS-BIABC: A Reinforcement Learning-Based Answer... — 1 Compare

Papers archive 2025-07-28

19 shown of 19 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 196. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Structural Self-Supervised Objectives for Transformers 1 1 15 Sep 2023 not harvested
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm 0 2 7 Jan 2023 not harvested
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection 0 3 20 May 2022 not harvested
Paragraph-based Transformer Pre-training for Multi-Sentence Inference 1 1 2 May 2022 not harvested
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection 2 1 11 Nov 2019 not harvested
Simple and Effective Text Matching with Richer Alignment Features 3 1 1 Aug 2019 ran 1 of 1 samples (0 unverified)
A Compare-Aggregate Model with Latent Clustering for Answer Selection 0 1 30 May 2019 not harvested
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency 0 1 6 Sep 2018 not harvested
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms 2 1 24 May 2018 not harvested
Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering 1 1 25 Jul 2017 not harvested
Neural Semantic Encoders 3 1 14 Jul 2016 not harvested
Key-Value Memory Networks for Directly Reading Documents 2 1 9 Jun 2016 not harvested
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement 0 1 1 Jun 2016 not harvested
Sentence Similarity Learning by Lexical Decomposition and Composition 1 1 23 Feb 2016 not harvested
Attentive Pooling Networks 3 1 11 Feb 2016 not harvested
Neural Variational Inference for Text Processing 6 3 19 Nov 2015 ran 1 of 4 samples (3 unverified; 1 pointer-only for licence)
WikiQA: A Challenge Dataset for Open-Domain Question Answering 0 1 1 Sep 2015 not harvested
Deep Learning for Answer Sentence Selection 2 2 4 Dec 2014 not harvested
Distributed Representations of Sentences and Documents 27 2 16 May 2014 ran 0 of 4 samples (4 unverified)

Dataset loaders archive 2025-07-28

3 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • WikiQA

1 variant name, as the archive lists them.

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