Update README.md

README.md

@@ -1,3 +1,27 @@
 ---
 license: mit
+task_categories:
+- text-to-speech
+language:
+- en
+pretty_name: WhisperSpeech
 ---
+
+# The WhisperSpeech Dataset
+
+This dataset contains data to train SPEAR TTS-like text-to-speech models that utilized semantic tokens derived from the OpenAI Whisper
+speech recognition model.
+
+We currently provide semantic and acoustic tokens for the LibriLight and LibriTTS datasets (English only).
+
+Acoustic tokens:
+- 24kHz EnCodec 6kbps (8 quantizers)
+
+Semantic tokens:
+- Whisper tiny VQ bottleneck trained on a subset of LibriLight
+
+Available LibriLight subsets:
+- `small`/`medium`/`large` (following the original dataset division but with `large` excluding the speaker `6454`)
+- a separate ≈1300hr single-speaker subset based on the `6454` speaker from the `large` subset for training single-speaker TTS models
+
+We plan to add more acoustic tokens from other codecs in the future.