The Song Describer dataset: a corpus of audio captions for music-and-language evaluation

We introduce the Song Describer dataset (SDD), a new crowdsourced corpus of high-quality audio-caption pairs, designed for the evaluation of music-and-language models. The dataset consists of 1.1k human-written natural language descriptions of 706 music recordings, all publicly accessible and released under Creative Common licenses. To showcase the use of our dataset, we benchmark popular models on three key music-and-language tasks (music captioning, text-to-music generation and music-language retrieval). Our experiments highlight the importance of cross dataset evaluation and offer insights into how researchers can use SDD to gain a broader understanding of model performance

A. McAdoo, plaintiff and respondent, vs. Jardine Machine Works (a corporation) and J.B. Jardine, etc., defendants, J.B, Jardine, appellant : respondent's brief /

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Robotic Art and Cultural Imagination

In this article, I aim to accentuate the importance of the cultural imagination about robots, observing it 'as a mixed register of fantasy and an actual practice' (Kakoudaki 2007, 165). I emphasise the field of robotic art, which, I argue, is in a fluid state of exchange with other areas of robotic research, equally benefiting from the larger context of the cultural imagination about robots. Furthermore, I discuss artworks that offer a valuable commentary on robots even though they are not defined as robotic art in a narrow sense (Penny 2013), given that they feature only the representation of robots or robot-like characters. Nevertheless, these artworks contribute to the circulation of symbolic registers that revolve around the multifaceted figure of a robot