Open X-Embodiment
1M+ real-robot trajectories from 20+ institutions.
SIB-Fleurs SIB-Fleurs is a dataset suitable to evaluate Multilingual Spoken Language Understanding. For each utterance in Fleurs, the task is to determine the topic the utterance belongs to. The topics are: Science/Technology Travel Politics Sports Health Entertainment Geography Preliminary evaluations can be found at the bottom of the README. The preliminary results in full detail are available in ./results.csv . Dataset creation This dataset processes and merges… See the full description on the dataset page:
Source: Hugging Face Hub (WueNLP/sib-fleurs). Metadata imported from the dataset’s Hub tags.