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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - text-to-speech
+tags:
+  - emotion
+  - tts
+  - speech-synthesis
+  - dacvae
+pretty_name: Emotion Conditioning Test (DAC-VAE)
+---
+
+# Emotion Conditioning Test - DAC-VAE
+
+This dataset contains emotion-ranked subsets of speech samples encoded as DAC-VAE latents.
+
+## Contents
+
+For each of the 40 emotion categories, the top 1000 samples (ranked by annotation score)
+are packaged into a separate tar file. Each tar file contains triplets of files per sample:
+
+- `{sample_key}.npy` — audio latent (DAC-VAE encoded)
+- `{sample_key}.ref.npy` — speaker reference latent
+- `{sample_key}.json` — metadata including text, caption, and annotation scores
+
+## Emotion Categories
+
+Affection, Amusement, Anger, Astonishment/Surprise, Awe, Bitterness, Concentration,
+Confusion, Contemplation, Contempt, Contentment, Disappointment, Disgust, Distress,
+Doubt, Elation, Embarrassment, Emotional Numbness, Fatigue/Exhaustion, Fear,
+Helplessness, Hope/Enthusiasm/Optimism, Impatience and Irritability, Infatuation,
+Interest, Intoxication/Altered States, Jealousy & Envy, Longing, Malevolence/Malice,
+Pain, Pleasure/Ecstasy, Pride, Relief, Sadness, Sexual Lust, Shame, Sourness,
+Teasing, Thankfulness/Gratitude, Triumph
+
+## File Naming
+
+Each tar file is named `{emotion}_{count}.tar` where count is the number of samples
+(up to 1000).