119 datasets found

A large-scale dataset containing over 180K StockQA instances, built based on Chinese online stock forums.

Knowledge graphs are composed of different elements: entity nodes, relation edges, and literal nodes. Each literal node contains an entity’s attribute value (e.g. the height of...

The Quora Question Pairs (QQP) dataset consists of 50,000 question pairs labeled with paraphrase or non-paraphrase.

NYT and WebNLG are widely used datasets for relational triple extraction.

The VisualBERT dataset is a pre-trained model for vision-and-language tasks, which is built on top of PyTorch.

The Task Driven Image Understanding Challenge (TDIUC) dataset is a large VQA dataset with 12 more fine-grained categories proposed to compensate for the bias in distribution of...

WebQA, CEval, CMMLU, and MMLU for general chat

The VQA 1.0 dataset is a large-scale dataset for visual question answering, containing 15,000 images with 50,000 questions.

The VQA dataset is a large-scale visual question answering dataset that consists of pairs of images that require natural language answers.

The SimpleQuestion dataset is a dataset for question answering, consisting of 100,000 questions and 1,000,000 answers.

Video question answering (VideoQA) requires systems to understand the visual information and infer an answer for a natural language question from it.

Unsupervised anomaly detection dataset for multi-image visual question answering

MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.

The dataset used for the Vectara hallucination task, containing OpenOrca questions.

Question Answering Sirah Nabawiyah (QASiNa) dataset, a novel dataset compiled from Sirah Nabawiyah literatures in Indonesian language.

Video question answering task, which requires machines to answer questions about videos in a natural language form.

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 dataset used for training and evaluating IR systems, containing a large collection of documents and queries.

The Universal Conceptual Cognitive Annotation (UCCA) dataset is a graph-based semantic annotation scheme based on typological linguistic principles.

The TripClick dataset is a large-scale benchmark for information retrieval.