22 datasets found

A dataset for optical flow evaluation, including a naturalistic open source movie.

Open Graph Benchmark: Datasets for machine learning on graphs.

The dataset used in the paper is a synthetic network generated under four network models: SBM, DCBM, RDPG, and latent space model.

The dataset used in the paper is a collection of real and synthetic networks for community detection evaluation.

The dataset used in the paper is a collection of real and synthetic networks for community detection evaluation.

The dataset used in the paper is a collection of real and synthetic networks for community detection evaluation.

Topic popularity prediction in social networks has drawn much attention recently. Various elegant models have been proposed for this issue. However, different datasets and...

The dataset used in this paper is FACTOR, a benchmark for factuality evaluation of language models.

The dataset used in this paper is HaluEval-Sum, a large-scale hallucination evaluation benchmark for large language models.

The BEIR dataset is a large-scale zero-shot evaluation dataset for information retrieval models, consisting of 13,000 documents and 1,000 questions.

Text Simplification datasets have limitations and need to be improved to build more robust models.

The dataset used for the evaluation of GPT-4's performance in systematic review tasks.

Pitfalls of graph neural network evaluation

The surprise test set is used for evaluating the performance of the proposed system.

The English test set is used for evaluating the performance of the proposed system.

The dataset used for evaluation of the proposed method. It contains images of humans and faces, with pre-annotated bounding boxes for persons and faces.

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

The GENEA Challenge 2023: A large-scale evaluation of gesture generation models in monadic and dyadic settings

Dense pixel matching is required for many computer vision algorithms such as disparity, optical flow or scene flow estimation. Feature Pyramid Networks (FPN) have proven to be a...

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...