--- dataset_info: - config_name: asr-en features: - name: input_ids list: int32 - name: attention_mask list: int8 - name: labels list: int64 splits: - name: train num_bytes: 675569969 num_examples: 100000 download_size: 145865557 dataset_size: 675569969 - config_name: asr-ja features: - name: input_ids list: int32 - name: attention_mask list: int8 - name: labels list: int64 splits: - name: train num_bytes: 663223128 num_examples: 100000 download_size: 135359372 dataset_size: 663223128 - config_name: s2s-enja features: - name: input_ids list: int32 - name: attention_mask list: int8 - name: labels list: int64 splits: - name: train num_bytes: 5581180880 num_examples: 387606 download_size: 1492449981 dataset_size: 5581180880 - config_name: s2s-jaen features: - name: input_ids list: int32 - name: attention_mask list: int8 - name: labels list: int64 splits: - name: train num_bytes: 5000541154 num_examples: 398036 download_size: 1365122949 dataset_size: 5000541154 - config_name: tts-en features: - name: input_ids list: int32 - name: attention_mask list: int8 - name: labels list: int64 splits: - name: train num_bytes: 670356215 num_examples: 100000 download_size: 257056877 dataset_size: 670356215 - config_name: tts-ja features: - name: input_ids list: int32 - name: attention_mask list: int8 - name: labels list: int64 splits: - name: train num_bytes: 568143377 num_examples: 100000 download_size: 217235502 dataset_size: 568143377 configs: - config_name: asr-en data_files: - split: train path: asr-en/train-* - config_name: asr-ja data_files: - split: train path: asr-ja/train-* - config_name: s2s-enja data_files: - split: train path: s2s-enja/train-* - config_name: s2s-jaen data_files: - split: train path: s2s-jaen/train-* - config_name: tts-en data_files: - split: train path: tts-en/train-* - config_name: tts-ja data_files: - split: train path: tts-ja/train-* license: cc-by-nc-4.0 task_categories: - automatic-speech-recognition - text-to-speech - audio-to-audio language: - ja - en --- # LiquidAI-Hackathon-Tokyo-SFT-Data [Liquid AI Hackathon Tokyo](https://luma.com/we2jbbp3)で作成したモデルのSFTに利用したデータセットです。