Add README

README.md

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+---
+license: apache-2.0
+task_categories:
+- text-to-speech
+language:
+- ja
+size_categories:
+- 10K<n<100K
+dataset_info:
+  features:
+  - name: audio
+    dtype:
+      audio:
+        sampling_rate: 48000
+  - name: text
+    dtype: string
+  - name: speaker_id
+    dtype: string
+  splits:
+  - name: train
+    num_examples: 10000
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*.parquet
+---
+
+# Irodori TTS Reference Voices (10K)
+
+10,000 synthetic Japanese reference voices generated with the
+[Irodori-TTS-500M-v2-VoiceDesign](https://huggingface.co/Aratako/Irodori-TTS-500M-v2-VoiceDesign)
+model from voice-design captions (no reference audio — `no_ref=True`).
+
+Each row is one unique speaker.
+
+## Columns
+
+| column | type | description |
+|---|---|---|
+| `audio` | Audio(48kHz mono) | reference waveform |
+| `text` | string | Japanese utterance with emoji prosody cues |
+| `speaker_id` | string | `speaker_00001` … `speaker_10000` |
+
+## Related datasets
+
+- **Clones (2.99M)** — [SynDataLab/irodori-clones-3m](https://huggingface.co/datasets/SynDataLab/irodori-clones-3m):
+  299 additional utterances generated in each reference voice using the main
+  Irodori-TTS-500M-v2 model with latents encoded from these reference audios.
+  Join on `speaker_id` to link each clone to its reference.
+
+## Generation
+
+- Model: `Aratako/Irodori-TTS-500M-v2-VoiceDesign`
+- Codec: `Aratako/Semantic-DACVAE-Japanese-32dim`
+- Precision: bf16, `num_steps=40`, `truncation_factor=0.9`,
+  `rescale_k=0.96`, `rescale_sigma=3.0`, `cfg_scale_text=3.0`,
+  `cfg_scale_caption=3.0`