ReClor

Dataset Information
Modalities
Texts
Introduced
2020
License
Unknown
Homepage
Official Website
Contents

Overview

Logical reasoning is an important ability to examine, analyze, and critically evaluate arguments as they occur in ordinary language as the definition from Law School Admission Council. ReClor is a dataset extracted from logical reasoning questions of standardized graduate admission examinations.

Source: ReClor

Variants: ReClor

Associated Benchmarks

This dataset is used in 2 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Reading Comprehension Rational Reasoner / IDOL IDOL: Indicator-oriented Logic Pre-training for … 2023-06-27
Reading Comprehension RoBERTa-single Logiformer: A Two-Branch Graph Transformer … 2022-05-02
Reading Comprehension MERIt(MERIt-deberta-v2-xxlarge ) MERIt: Meta-Path Guided Contrastive Learning … 2022-03-01
Reading Comprehension RoBERTa-single Fact-driven Logical Reasoning for Machine … 2021-05-21
Reading Comprehension LReasoner ensemble Logic-Driven Context Extension and Data … 2021-05-08
Reading Comprehension NAACL 2021 DAGN: Discourse-Aware Graph Network for … 2021-03-26
Question Answering RoBERTa-large ReClor: A Reading Comprehension Dataset … 2020-02-11
Question Answering BERT-large ReClor: A Reading Comprehension Dataset … 2020-02-11
Reading Comprehension XLNet-large ReClor: A Reading Comprehension Dataset … 2020-02-11
Reading Comprehension XLNet-base ReClor: A Reading Comprehension Dataset … 2020-02-11
Reading Comprehension RoBERTa-base ReClor: A Reading Comprehension Dataset … 2020-02-11
Reading Comprehension BERT-base ReClor: A Reading Comprehension Dataset … 2020-02-11
Question Answering XLNet-large ReClor: A Reading Comprehension Dataset … 2020-02-11

Research Papers

Recent papers with results on this dataset:

External Links: