BRAZILDAM: A BENCHMARK DATASET FOR TAILINGS DAM DETECTION

Floods from tailings dam failures.

This paper compiles the available information on historic tailings dam failures with the purpose to establish simple correlations between tailings ponds geometric parameters (e.g., dam height, tailings volume) and the hydraulic characteristics of floods resulting from released tailings. Following the collapse of a mining waste dam, only a part of tailings and polluted water stored at the dam is...

Diversion of Water from a Tailings Dam

Harassment detection: a benchmark on the #HackHarassment dataset

Online harassment has been a problem to a greater or lesser extent since the early days of the internet. Previous work has applied anti-spam techniques like machine-learning based text classification (Reynolds, 2011) to detecting harassing messages. However, existing public datasets are limited in size, with labels of varying quality. The #HackHarassment initiative (an alliance of 1 tech compan...

Arabian Horse Identification Benchmark Dataset

The lack of a standard muzzle print database is a challenge for conducting researches in Arabian horse identification systems. Therefore, collecting a muzzle print images database is a crucial decision. The dataset presented in this paper is an option for the studies that need a dataset for testing and comparing the algorithms under development for Arabian horse identification. Our collected da...

A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics

We describe a novel and unique argumentative structure dataset. This corpus consists of data extracted from hundreds of Wikipedia articles using a meticulously monitored manual annotation process. The result is 2,683 argument elements, collected in the context of 33 controversial topics, organized under a simple claim-evidence structure. The obtained data are publicly available for academic res...