530 datasets found

The dataset used for the experiments is a set of common datasets for natural language processing.

SCAN is a semantic parsing dataset of natural language navigation commands that are mapped to corresponding action sequences.

The Room-to-Room (R2R) dataset is a benchmark for vision-and-language navigation tasks. It consists of 7,189 paths sampled from its navigation graphs, each with three...

Abstract Meaning Representation (AMR) is a graphical meaning representation language designed to represent propositional information about argument structure.

OpenAgents is an open-source platform for using and hosting language agents, including three agents: Data Agent for data analysis, Plugins Agent for plugin integration, and Web...

The dataset used in this paper for learning norms from natural language text.

Character-level features are currently used in different neural network-based natural language processing algorithms. However, little is known about the character-level patterns...

Do models explain themselves? counterfactual simulatability of natural language explanations

A multilingual LLM for explaining and correcting translation errors

The dataset used in this paper is a collection of regular expressions and grammars for constraining language models.

Two new datasets for whataboutism detection

The dataset used for Vietnamese diacritic restoration problem, consisting of 180,000 sentence pairs.

A comprehensive study of IPA transcription issues and challenges for Bangla, a novel IPA transcription framework, a DUAL-IPA, a sentence level ipa transcripted parallel corpus...

The Corpus of Spoken Dutch (CGN) is a dataset of spoken Dutch recordings.

The dataset consists of subtitles of television shows provided by the Flemish public-service broadcaster VRT. The dataset is used to train language models of spoken Dutch.

The dataset used in this paper is a collection of research papers, and the authors propose a scholarly paper recommendation system.

The dataset used in this paper is a collection of research papers, and the authors propose an interactive research paper recommender system.

The dataset used in the paper is OPT, a large language model.

The dataset used in the paper is LLaMA, a large language model.

The dataset used in the paper is a grammaticality judgment task featuring four linguistic phenomena: anaphora, center embedding, comparatives, and negative polarity constructions.