Datasets:
license: other
language:
- en
tags:
- turn-taking
dataset_info:
features:
- name: audio
dtype: audio
- name: filename
dtype: string
- name: duration
dtype: float32
- name: last_silence_duration
dtype: float32
- name: speaker_id
dtype: string
- name: age
dtype: string
- name: gender
dtype: string
- name: label
dtype: string
splits:
- name: test
num_examples: 2730
configs:
- config_name: default
Turn Taking Test Dataset
This dataset is collected for turn-taking benchmarking. The original recordings consisted of long-form conversations. These recordings were first reviewed and labeled manually by human annotators. After labeling, the conversations were segmented into shorter clips, ensuring that each segment preserved the context needed for accurate interpretation while maintaining alignment with the original annotations. The metadata contains the original filename, the last silence duration, speaker_id, age, gender, and the audio turn label: shift or hold.
The dataset language is English. Most speakers are U.S. English speakers, and there are also speakers with accented speech.
Audio files are single-channel, 16 kHz PCM (float32 format).
Key Statistics
| Property | Value |
|---|---|
| Total audio duration | 4 hours |
| Number of episodes | 55 |
| Number of speakers | 30 |
| Labeled "shift" cases | 976 |
| Labeled "hold" cases | 1754 |
Quick Load
from datasets import load_dataset
from huggingface_hub import login
# Login with your token
login(token="your_hf_token")
ds = load_dataset("Krisp-AI/turn-taking-test-v1")
print(ds)
print(ds["test"][0])
print(ds["test"][0]["audio"])
License
See LICENSE file for the full license text.