WhissleAI/multilingual-libri-test-french

--- dataset_info: features: - name: file dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: text dtype: string - name: speaker_id dtype: int64 - name: chapter_id dtype: int64 - name: id dtype: string - name: tasks sequence: string - name: instruction dtype: string splits: - name: train num_bytes: 618097749.28 num_examples: 2426 download_size: 614883107 dataset_size: 618097749.28 configs: - config_name: default data_files: - split: train path: data/train-* --- Automated annotation of the LibriSpeech Spanish test set. Entity annotations from OnTo Notes tagger and emotion from an audio emotion classifier.