SearchQA: 140k real questions paired with search engine snippets
Meet SearchQA, a big new collection of real questions and answers — pulled from a trivia archive and mixed with text found by a search engine.
Instead of making questions from articles, this one starts with real Q&A, then finds the web bits that go with them, so it feels much more like how people actually look for answers.
The set contains about 140k question-answer pairs, with nearly 50 short snippets for each question, and each snippet keeps its original web link too.
People tried answering from those snippets, and computers tried as well, and the result shows a clear human vs machine gap: humans still do better.
That gap means theres room to build smarter tools that can read web text like we do.
If you like puzzles, search, or how computers learn, this is a big step toward making question-answer tools that work in the real world, not just lab tests, and its open for anyone to explore, test, and improve upon.
Read article comprehensive review in Paperium.net:
SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
Top comments (0)