196 datasets found

Open-domain question answering (QA) is a key challenge in natural language processing. A successful open-domain QA system must be able to effectively retrieve and comprehend one...

The Quora Question Pairs dataset contains 404k English question pairs on Quora, created to test the abilities of the models to understand the semantics from text, and determine...

The SQuAD 2.0 dataset is a new challenging task for natural language processing, which requires that machine can read, understand, and answer questions about a text. The dataset...

Text-Video Retrieval (TVR) aims to align relevant video content with natural language queries. To date, most state-of-the-art TVR methods learn image-to-video transfer learning...

CLEVR images contain objects characterized by a set of attributes (shape, color, size and material). The questions are grouped into 5 categories: Exist, Count, CompareInteger,...

The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.

The dataset used for testing the Vary-base model, containing DocVQA and ChartQA datasets.

The Visual Genome dataset is a large-scale visual question answering dataset, containing 1.5 million images, each with 15-30 annotated entities, attributes, and relationships.

The dataset used in this paper is a collection of questions and answers related to adaptive learning and generative AI.

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...

Seq2SQL: Generating structured queries from natural language using reinforcement learning.

Semantic parsing maps a user-issued natural language (NL) utterance to a machine-executable meaning representation (MR), such as λ−calculus (Zettlemoyer and Collins, 2005), SQL...

The AlpacaFarm dataset is a large-scale dataset for preference optimization, which consists of a set of instructions and their corresponding responses.

The dataset used in the paper to evaluate the REFLEX system, consisting of open-book question answering tasks.

The dataset used in the paper to evaluate the REFLEX system, consisting of multiple-choice questions with entailment relationships.

The SentEval dataset is a library for evaluating the quality of sentence embeddings.