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Multiple Choice Question Answering (MCQA) datasets
archive 2025-07-28
9 datasets carry the task tag "Multiple Choice Question Answering (MCQA)" (the task itself: Multiple Choice Question Answering (MCQA)), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Multiple Choice Question Answering (MCQA) datasets 1–9 of 9
MML (Massive Multitask Language Understanding)
MMLU (Massive Multitask Language Understanding) is a new benchmark designed to measure knowledge acquired during pretraining by evaluating models exclusively in zero-shot and few-shot settings.
1,922 papers · 29 benchmarks
BIG-bench (Beyond the Imitation Game Benchmark)
The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their future capabilities.
349 papers · 121 benchmarks
MedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.
144 papers · 1 benchmark
IndicGLUE (Indic General Language Understanding Evaluation Benchmark)
We now introduce IndicGLUE, the Indic General Language Understanding Evaluation Benchmark, which is a collection of various NLP tasks as de- scribed below.
16 papers · 4 benchmarks
M3KE (Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark)
M3KE is a Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark, which is developed to measure knowledge acquired by Chinese large language models by testing their multitask accuracy in zero- and few-shot settings.
14 papers · 0 benchmarks
FrenchMedMCQA (FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain)
This paper introduces FrenchMedMCQA, the first publicly available Multiple-Choice Question Answering (MCQA) dataset in French for medical domain.
6 papers · 1 benchmark
SecQA is a specialized dataset created for the evaluation of Large Language Models (LLMs) in the domain of computer security.
4 papers · 0 benchmarks
Short-Films 20K (SF20K) is the largest publicly available movie dataset.
1 paper · 0 benchmarks
LMCQA (Legal Multiple Choice Question Answering)
This dataset contains a set of multiple-choice questions related to various legal topics.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.