This paper contains uncensored toxic content that might be offensive. Toxicity classification in textual content remains a significant problem.

These sentence pairs will serve as a means to evaluate machines' commonsense reasoning abilities under different extra-linguistic contexts.

The complete list may be seen in Table 8. Here are a few general notes about these strings: 1. Based on their recommendations, we did the following: 1. zh, zh_Latn: This resulted in the special filters described below. URLs) the corpora were in languages different from the LangID predictions. This is mainly mis-rendered PDFs and may have practical applications for denoising, or for decoding such garbled PDFs.

(see Figure 7).

The residents of Potters Bar are working to protect the "green belt" of farms, forests, and meadows that surround London from the endless demand for AI infrastructure. A short drive from London, the town of Potters Bar is separated from the village of South Mimms by 85 acres of rolling farmland segmented by a scribble of hedgerows. In one of the fields, a lone oak serves as a rest stop along a public footpath. Lately, the tree has become a site of protest, too. A poster tied to its trunk reads: "NO TO DATA CENTRE."

This bias becomes particularly noticeable when the study's endpoint can be inferred from the

Large-scale pre-trained generative models are taking the world by storm, due to their abilities in generating creative content.