219 datasets found

The DREAM dataset is a dialogue-based multiple-choice QA dataset, introduced by Sun et al. (2019). It was collected from English-as-a-foreign-language examinations, designed by...

Dialogue summarization datasets including SAMSum, DialogSum, TODSum, and DREAM.

The dataset consists of a graphical language for describing quantum phenomena and meaning-related linguistic phenomena.

The dataset consists of a graphical language for describing quantum phenomena and meaning-related linguistic phenomena.

The dataset consists of a graphical language for describing quantum phenomena and meaning-related linguistic phenomena.

A new challenging dataset for real-world object picking tasks, consisting of 1,180 images with bounding boxes and text instructions annotated.

This paper describes a neural semantic parser that maps natural language utterances onto logical forms which can be executed against a task-specific environment, such as a...

The dataset is used for keyphrase extraction, and it contains abstracts from various domains such as Engineering, History, Economics, and Psychology.

The dataset is used for keyphrase extraction, and it contains abstracts from various domains such as Engineering, History, Economics, and Psychology.

The dataset is used for keyphrase extraction, and it contains abstracts from various domains such as Engineering, History, Economics, and Psychology.

The dataset is used for keyphrase extraction, and it contains abstracts from various domains such as Engineering, History, Economics, and Psychology.

The dataset is used for keyphrase extraction, and it contains abstracts from various domains such as Engineering, History, Economics, and Psychology.

A large-scale dialogue dataset with rich task diversity, collected to pre-train a unified dialogue foundation model.

Educational Question Generation (QG) dataset, used to train and evaluate QG models.

The ECC Analyzer dataset is a collection of earnings conference calls (ECCs) with their corresponding transcripts and audio recordings.

The dataset used in the paper is a collection of sentences for the task of pronoun resolution.

The dataset used in the paper is a collection of sentences for the tasks of subject-verb agreement and anaphora resolution.

SemEval-2016 (Task 3A) is a sentence-level QA dataset, containing 1.8k/0.2k/0.3k train/dev/test examples. Each example consists of a community question by a user and 10 comments.

Question answering (QA) is a long-standing challenge in NLP, and the community has introduced several paradigms and datasets for the task over the past few years. These...

The dataset used in the paper to study the influence of context on sentence acceptability.