Datasets:
| pretty_name: B150 Public Eval Smoke 100 | |
| task_categories: | |
| - text-to-speech | |
| language: | |
| - en | |
| - zh | |
| tags: | |
| - tts | |
| - speech | |
| - controllable-speech-synthesis | |
| - fine-tuning | |
| license: other | |
| # B150 Public Eval Smoke 100 | |
| This dataset is a 100-sample public-eval smoke split released as raw | |
| audio plus a lightweight JSONL manifest. | |
| It is intended for low-cost pipeline bring-up and local fine-tuning | |
| smoke tests. It is not the recommended split for formal experiments. | |
| ## What Is Included | |
| - `raw/audio/...`: the released MP3 audio files | |
| - `selected_samples.exported.jsonl`: sample manifest with | |
| `audio_path`, `target_text`, `duration`, `language`, and | |
| `prompt_boundary_index` | |
| - `export_info.json`: lightweight release metadata | |
| This repository no longer ships prebuilt Arrow artifacts. Prepare the | |
| local fine-tuning dataset on your own machine with the corresponding | |
| MAGIC-TTS beta data-preparation scripts. | |
| ## Associated Paper | |
| This dataset is part of the `MAGIC-TTS` release: | |
| - Paper: https://arxiv.org/abs/2604.21164 | |
| - Project repo: https://huggingface.co/maimai11/MAGIC-TTS | |
| If you use this dataset, please cite the paper above so the dataset page is | |
| linked with the corresponding research release. | |