turnmaster/TurnMaster

Download

# Install huggingface_hub if needed
pip install huggingface_hub


# Download dataset
hf download turnmaster/TurnMaster --repo-type dataset --local-dir ./TurnMaster

cd TurnMaster

Installation

pip install -r requirements.txt

Project structure

TurnMaster/
├── audio/
├── metadata/
├── processing/
│   ├── augment_taskmaster.py
│   ├── extract_shards.py
│   ├── curate_dataset.py
├── requirements.txt
└── README.md

Extract shards

# Extract to custom directory
python TurnMaster_processing/extract_shards.py --sharded-dir ./ --output-dir Turnmaster_raw

OPTIONAL: remove shards

Remove extracted shards (unecessary for the latter pre-processing)
rm -rf audio/

OPTIONAL: create a curated version of the dataset. You can also skip this step and reuse the standart curated version of TurnMaster

# Extract from cached download
python extract_shards.py --sharded-dir ~/.cache/huggingface/hub/datasets--turnmaster--TurnMaster/snapshots/main --output-dir extracted

Build dataset

Base (no silence)

python TurnMaster_processing/augment_taskmaster.py \
 --aug-dataset-save-dir YOUR/SAVE/DIR \
 --taskmaster-root-dir DIR/TO/EXTRACTED/DATASET \
 --manifest-dir DIR/TO/EXTRACTED/DATASET \
 --silence-max-start 0.0 \
 --silence-min-end 0.2 \
 --silence-max-end 2.0 \
 --normalize-text \
 --custom-dollar-normalisation \
 --keep-punct \
 --lam 0.0 \

Base silence insertion

python TurnMaster_processing/augment_taskmaster.py \
 --aug-dataset-save-dir YOUR/SAVE/DIR \
 --taskmaster-root-dir DIR/TO/EXTRACTED/DATASET \
 --manifest-dir DIR/TO/MANIFEST/EXTRACTED/DATASET \
 --silence-max-start 0.0 \
 --silence-min-end 0.2 \
 --silence-max-end 2.0 \
 --normalize-text \
 --custom-dollar-normalisation \
 --keep-punct \
 --silence-insertion \
 --lam 0.0 \
 --max-initial-silence-duration 1.5 \
 --silence-insertion-max-s 2.0 \
 --pause-per-second-ratio 1000.0

@misc{turnmaster2026,
 title        = {TurnMaster: A Synthetic Spoken Dialogue Benchmark for Voicebot End-Of-Turn Detection},
 author       = {Anonymous},
 year         = {2026},
 publisher    = {Hugging Face},
 url          = {https://huggingface.co/datasets/turnmaster/TurnMaster}
}