Question sources, attribution & licences
Total questions in the bank: 2,359,860. Every question records its source, and the source is shown alongside each question when you play and on your results.
Apart from the categories we write ourselves, The Quiz Champ does not author its questions. They come from the open datasets and services below, used under the licences shown, with gratitude to their authors. We present them as multiple-choice quizzes; the changes we make are listed per source. The datasets remain the work and property of their respective authors and licensors, who do not endorse this site.
| Source | Questions | Licence | Attribution | Changes made |
|---|---|---|---|---|
| OpenTDB | 5,280 | CC BY-SA 4.0 | Open Trivia Database, a community-contributed trivia question database. © the OpenTDB contributors. | HTML entities decoded; answer options shuffled; presented as timed quizzes. |
| The Trivia API | 7,712 | CC BY-NC 4.0 | Questions provided by The Trivia API (the-trivia-api.com). | Answer options shuffled; categories mapped to our category names. |
| MMLU | 15,485 | MIT | Hendrycks, D., Burns, C., Basart, S., Zou, A., Mazeika, M., Song, D. & Steinhardt, J. (2021). Measuring Massive Multitask Language Understanding. ICLR 2021. | Subject names humanised (e.g. "high_school_world_history" → "World History (High School)"); difficulty assigned from subject level; options shuffled. |
| MMLU-Pro | 3,458 | MIT | Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., Li, T., Ku, M., Wang, K., Zhuang, A., Fan, R., Yue, X. & Chen, W. (2024). MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. NeurIPS 2024. | Kept only the computer science, engineering, mathematics and physics subjects; items needing mathematical typesetting removed; unused "N/A" padding options dropped and the option list trimmed to six; options shuffled. |
| ARC | 7,728 | CC BY-SA 4.0 | Clark, P., Cowhey, I., Etzioni, O., Khot, T., Sabharwal, A., Schoenick, C. & Tafjord, O. (2018). Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge. Allen Institute for AI. | ARC-Easy labelled Beginner and ARC-Challenge Medium; options shuffled. |
| SciQ | 13,527 | CC BY-NC 3.0 | Welbl, J., Liu, N. F. & Gardner, M. (2017). Crowdsourcing Multiple Choice Science Questions. Allen Institute for AI. | Supporting passages omitted; correct answer and three distractors shuffled. |
| QASC | 8,644 | CC BY 4.0 | Khot, T., Clark, P., Guerquin, M., Jansen, P. & Sabharwal, A. (2020). QASC: A Dataset for Question Answering via Sentence Composition. AAAI 2020. Allen Institute for AI. | Supporting facts omitted; eight options shuffled. |
| OpenBookQA | 5,790 | Apache 2.0 | Mihaylov, T., Clark, P., Khot, T. & Sabharwal, A. (2018). Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. EMNLP 2018. Allen Institute for AI. | Question stems used as-is; options shuffled. |
| CommonsenseQA | 10,816 | MIT | Talmor, A., Herzig, J., Lourie, N. & Berant, J. (2019). CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. NAACL 2019. Built on ConceptNet (CC BY-SA 4.0). | Five options shuffled. |
| AQuA-RAT | 80,287 | Apache 2.0 | Ling, W., Yogatama, D., Dyer, C. & Blunsom, P. (2017). Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. ACL 2017. © DeepMind. | Option letter prefixes removed; rationales omitted; options shuffled. |
| MedMCQA | 122,133 | Apache 2.0 | Pal, A., Umapathi, L. K. & Sankarasubbu, M. (2022). MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering. CHIL 2022. | Single-answer items only; image-dependent items removed; grouped by subject; options shuffled. |
| Wikidata | 2,470 | CC0 1.0 | Abbreviations and their expansions from Wikidata's "short name" property (P1813). Wikidata data is released into the public domain under CC0. | Kept only all-capital acronyms whose letters match the initials of the expansion and that have exactly one expansion; difficulty set from the item's Wikipedia sitelink count. |
| QuizChamp Original | 586 | © The Quiz Champ | Written for The Quiz Champ: the Engineering Exams & Coding Contests category (GATE, UGC-NET, ICPC, IOI, USACO, Bebras, ACSL and picoCTF style) and the Abbreviations category. | Original questions; no third-party dataset involved. |
| Generated | 2,075,944 | ODbL 1.0 (country data) | Arithmetic, conversion, calendar, number-base and number-theory questions, and the computer-science exam drills (number systems, bitwise arithmetic, complexity, combinatorics, data structures, operating systems, networks and architecture), are computed by The Quiz Champ. Capital-city and region questions use the mledoze/countries dataset © Mohammed Le Doze and contributors. | Country names, capitals and regions used to compose questions and plausible distractors. |
Licence notes
- Creative Commons (BY, BY-SA, BY-NC): attribution is given above and beside each question. BY-SA material is shared under the same licence; BY-NC material is used under the terms published by its licensor. Full licence texts are linked in the table.
- MIT and Apache 2.0: the datasets are provided "as is", without warranty, by their copyright holders named above. Copies of the MIT and Apache 2.0 licences apply to the respective datasets.
- ODbL 1.0: country data is used under the Open Database License; the dataset is available at the link above.
- Hugging Face hosts several of these datasets; the hosting service does not own them.
Corrections and takedown
If you are a rights holder and believe material is used outside its licence, or you spot an incorrect question, email support@thequizchamp.com with the question text and we will review it promptly.