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We are using argilla+HF spaces to obtain annotations for a novel textual dataset through crowdsourcing. This project is aimed at open-source the richly annotated dataset along with a thorough analysis of the patterns and observations stemming from it.

Size of dataset: 11k
Source of text: tweets
Content type: hateful text directed at sexual and gender minorities
Aim: Building a novel dataset to foster hate-speech research directed towards members of the LGBTQIA+ community

Reason for additional GPU need?
We aim to onboard another 70-80 concurrent users for the annotations in the upcoming week and we are unsure if the free compute tier provided to us can handle such requests.