Datasets:

hiraki
/

candor-turntaking-annotations

language:
  - en
license: cc-by-4.0
task_categories:
  - automatic-speech-recognition
tags:
  - speech
  - transcription
  - conversation
  - turn-taking
  - candor
  - canary
size_categories:
  - 100K<n<1M
dataset_info:
  features:
    - name: audio_filename
      dtype: string
    - name: offset
      dtype: float64
    - name: duration
      dtype: float64
    - name: segment_id
      dtype: string
    - name: conversation_id
      dtype: string
    - name: channel
      dtype: string
    - name: text
      dtype: string
    - name: model
      dtype: string
    - name: alignment_mean_prob
      dtype: float64
    - name: tt_label
      dtype: string
    - name: tt_confidence
      dtype: float64
    - name: llm_label
      dtype: string
    - name: llm_confidence
      dtype: float64
    - name: llm_rationale
      dtype: string
    - name: final_tag
      dtype: string
    - name: accepted
      dtype: bool
    - name: accept_reason
      dtype: string
    - name: reject_reason
      dtype: string
  splits:
    - name: train
      num_examples: 172591
  download_size: 12900000
  dataset_size: 172591
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

CANDOR - Turn-Taking Annotations

Speech transcription and turn-taking annotation dataset built from the CANDOR corpus using NVIDIA Canary-Qwen2.5B ASR.

Dataset Description

This dataset contains 172,591 transcribed speech segments from the CANDOR conversational speech corpus (1,656 conversations). Each segment is a per-speaker utterance with Canary ASR transcript, designed for turn-taking prediction research.

Source

Audio corpus: CANDOR (English conversational speech, 1,656 conversations)
ASR model: NVIDIA Canary-Qwen2.5B (canary-qwen-2.5b)
Audio format: Per-speaker mono WAV (16kHz), extracted from stereo MP3

Dataset Structure

Column	Type	Description
`audio_filename`	string	Per-speaker WAV filename (e.g., `{uuid}_L.wav`)
`offset`	float	Start time within the audio file (seconds)
`duration`	float	Duration of the segment (seconds)
`segment_id`	string	Unique segment identifier
`conversation_id`	string	CANDOR conversation UUID
`channel`	string	Speaker channel (`L` or `R`)
`text`	string	Canary ASR transcript
`model`	string	ASR model (`canary-qwen-2.5b`)
`alignment_mean_prob`	float	Parakeet CTC forced alignment score (to be added)
`tt_label`	string	TEN turn-taking label: finished/unfinished/wait (to be added)
`tt_confidence`	float	TEN confidence (3-way softmax) (to be added)
`llm_label`	string	LLM label: COMPLETE/INCOMPLETE/BACKCHANNEL (to be added)
`llm_confidence`	float	LLM confidence (to be added)
`llm_rationale`	string	LLM reasoning (to be added)
`final_tag`	string	Cross-annotation consensus label (to be added)
`accepted`	bool	Whether segment passed all quality gates (to be added)
`accept_reason`	string	Reason for acceptance (to be added)
`reject_reason`	string	Reason for rejection (to be added)

Annotation Pipeline (in progress)

Annotations are being added incrementally:

Parakeet CTC forced alignment → alignment_mean_prob
TEN turn-taking model → tt_label, tt_confidence
LLM annotation (Qwen2.5-32B) → llm_label, llm_confidence, llm_rationale
Cross-annotation → final_tag, accepted (requires tt_confidence >= 0.9, alignment_mean_prob >= 0.9)

Statistics

Total segments: 172,591
Conversations: 1,656
Segments with text: 165,925 (96.1%)
Mean duration: 7.6s

Intended Use

This dataset is intended for research on:

Turn-taking prediction and modeling
Conversational speech recognition
Backchannel detection

Related Datasets

hiraki/seamless-interact-canary-transcripts — Same pipeline applied to Seamless Interact corpus (2.78M segments)

License

CC-BY-4.0 (following the CANDOR corpus license).