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Datasets:
47z
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MoVE

Tasks:
Audio-to-Audio
Text-to-Speech
Translation
Modalities:
Text
Formats:
csv
Languages:
English
Chinese
Size:
1M - 10M
ArXiv:
Tags:
speech-translation
emotional-tts
paired-speech
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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  1. README.md +26 -10
  2. zh/angry/angry_002372_zh.flac +3 -0
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README.md CHANGED
@@ -1,20 +1,36 @@
1
- # MoVE Dataset — output-200
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- Bilingual (EN↔ZH) expressive speech-to-speech translation dataset.
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- 5 emotion categories: `angry`, `happy`, `sad`, `laugh`, `crying`.
 
 
 
 
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  ## Directory Structure
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  ```
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- output-200/
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  ├── en/{emotion}/*.flac # English TTS audio (FLAC, lossless)
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  ├── zh/{emotion}/*.flac # Chinese TTS audio (FLAC, lossless)
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- ├── metadata/
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- │ ├── metadata_shard_*.jsonl # S2ST conversation format (per shard)
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- │ └── entries_shard_*.jsonl # Per-entry detail (text, ASR, duration, WER)
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- ├── metadata.tsv # Generated by make_metadata_tsv.py
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- ├── make_metadata_tsv.py # Step 1: shards → metadata.tsv
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- └── make_kimi_train.py # Step 2: metadata.tsv → Kimi training format
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  ```
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  ## metadata.tsv
 
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+ ---
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+ language:
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+ - en
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+ - zh
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+ license: cc-by-nc-4.0
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+ task_categories:
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+ - translation
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+ - automatic-speech-recognition
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+ pretty_name: MoVE — Mixture of Vocalization Experts Dataset
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+ size_categories:
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+ - 100K<n<1M
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+ tags:
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+ - speech-to-speech-translation
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+ - expressive-speech
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+ - emotion
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+ - bilingual
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+ - tts
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+ ---
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+ # MoVE Dataset
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+
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+ Bilingual (EN↔ZH) expressive speech-to-speech translation dataset.
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+ 858,312 pairs · 5 emotion categories: `angry`, `happy`, `sad`, `laugh`, `crying`.
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+
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+ > **Paper:** [MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translation](https://arxiv.org/abs/2604.17435) (Interspeech 2026)
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  ## Directory Structure
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  ```
 
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  ├── en/{emotion}/*.flac # English TTS audio (FLAC, lossless)
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  ├── zh/{emotion}/*.flac # Chinese TTS audio (FLAC, lossless)
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+ ├── metadata.tsv # Pair metadata (see below)
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+ └── make_kimi_train.py # Convert to Kimi-Audio training format
 
 
 
 
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  ```
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  ## metadata.tsv
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