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Common Sense Reasoning datasets

archive 2025-07-28

56 datasets carry the task tag "Common Sense Reasoning" (the task itself: Common Sense Reasoning), ordered by the archive's paper count. Page 2 of 2: 8 shown of 56. 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 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Common Sense Reasoning datasets 49–56 of 56

ACCORD CSQA is an extension of the popular CommonsenseQA (CSQA) dataset using ACCORD, a scalable framework for disentangling the commonsense grounding and reasoning abilities of large language models (LLMs) through controlled, multi-hop…
1 paper · 0 benchmarks
The Advice-Seeking Questions (ASQ) dataset is a collection of personal narratives with advice-seeking questions.
1 paper · 0 benchmarks
DiscoSense is a benchmark sourced from datasets that contain two sentences connected through a discourse connective.
1 paper · 0 benchmarks
DpgMedia2019 is a Dutch news dataset for partisanship detection.
1 paper · 0 benchmarks
The work provides a comprehensive overview of the corpus for the Russian language for the commonsense inference task.
1 paper · 1 benchmark
This is not a Dataset (This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models)
We introduce a large semi-automatically generated dataset of ~400,000 descriptive sentences about commonsense knowledge that can be true or false in which negation is present in about 2/3 of the corpus in different forms that we use to…
1 paper · 1 benchmark
The Winograd schema challenge composes tasks with syntactic ambiguity, which can be resolved with logic and reasoning.
1 paper · 1 benchmark
A fundamental component of human vision is our ability to parse complex visual scenes and judge the relations between their constituent objects.
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.