Datasets › NewsQA
NewsQA
The NewsQA dataset is a crowd-sourced machine reading comprehension dataset of 120,000 question-answer pairs.
- Documents are CNN news articles.
- Questions are written by human users in natural language.
- Answers may be multiword passages of the source text.
- Questions may be unanswerable.
- NewsQA is collected using a 3-stage, siloed process.
- Questioners see only an article’s headline and highlights.
- Answerers see the question and the full article, then select an answer passage.
- Validators see the article, the question, and a set of answers that they rank.
- NewsQA is more natural and more challenging than previous datasets.
Source: https://www.microsoft.com/en-us/research/project/newsqa-dataset/ Image Source: Trischler et al
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 | NewsQA | OpenAI/o3-2025-01-31-high EM 92.52 | o3-mini vs DeepSeek-R1: Which One is Safer? | trust4ai/astral | 18 | Compare |
Papers archive 2025-07-28
18 shown of 18 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 272. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
2 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- NewsQA
1 variant name, as the archive lists them.
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