Joint Speech and Text Training for LLM-Based End-to-End Spoken Dialogue State Tracking
Paper • 2511.22503 • Published
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Prepared MultiWOZ training dataset formatted for dialogue state tracking (DST) experiments with aligned audio and context fields.
text (string): original utterance textnormalized_text (string): normalized form of the utterancecontext (string): preceding dialogue contextnormalized_context (string): normalized contextaudio (Audio, sampling_rate=16000): path/bytes for the audioaudio_len (int32): audio lengthwav_id (string): wav file identifierturn_index (int32): turn index within the dialogueagent_text (string): agent/system utterance text (when applicable)domains (string): domain labelsslots (string): slot annotation stringPlease credit the SpokenWoZ-Whisper preprocessing where applicable: https://huggingface.co/datasets/pirxus/spokenwoz-whisper
datasets.load_from_disk (see file paths in the dataset directory).