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Datasets:
otoearth
/
otoSpeech-full-duplex-task-oriented-20h

Tasks:
Audio-to-Audio
Modalities:
Audio
Languages:
English
Size:
n<1K
Tags:
speech
audio
full-duplex
conversation
task-oriented-dialogue
english
License:
Dataset card Files
xet
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Dataset Viewer

https://cc-task-oriented-preview.vercel.app/

Task Walkthrough

https://www.oto.earth/research/task-oriented-dataset.html

What each of the seven tasks is for, what the two speakers could each see, and how the interaction log lines up with the audio.

otoSpeech-full-duplex-task-oriented-20h

Contact

This sample dataset is provided for research purposes. We maintain larger and more diverse datasets.

For collaborations, inquiries, custom data collection, or joint research, contact agent@oto.earth.

Dataset Summary

otoSpeech-full-duplex-task-oriented-20h contains 20.005954 hours of English, full-duplex, two-speaker task-oriented conversations. It includes 58 sessions covering seven collaborative task types, with 48 kHz channel-separated stereo audio, synchronized interaction events, task stimuli, and participant-created artifacts where applicable.

This release extends otoSpeech-full-duplex-280h with task state and interaction data aligned to the recording timeline.

Each task is described in detail, with playable sessions, in otoSpeech Task: Task-oriented full-duplex dataset.

How to Use 

from datasets import Audio, load_dataset

dataset = load_dataset(
    "webdataset",
    data_files={"train": "data/train/shard-*.tar"},
    split="train",
    streaming=True,
)
dataset = dataset.cast_column("flac", Audio(decode=False))
sample = next(iter(dataset))

print(sample["json"]["task"]["task_id"])
print(sample["json"]["events"][0])

Each WebDataset sample consists of matching <session_id>.flac and <session_id>.json members. Audio channel 0 and channel 1 correspond to the speaker entries with the same channel values.

Dataset Contents

  • data/train/shard-*.tar: stereo FLAC audio and session JSON
  • artifacts/train/artifact-shard-*.tar: participant-created task artifacts
  • resources/: versioned task stimuli required to reproduce task state
  • schemas/*.json: JSON Schemas for sessions, events, and artifacts
  • export-manifest.json: release totals and task-level coverage

Speaker metadata follows the public profile fields used by otoSpeech-full-duplex-280h. Profile fields are opt-in and may be empty. The name field is intentionally always empty. speaker_id values are anonymized stable identifiers, while task_role and task_role_name describe each speaker's role in the selected task.

Event timestamps use seconds relative to recording start. The included JSON Schemas define the machine-readable session, event, and artifact structures.

YFCC/Flickr images used by Photo Talk are not redistributed in this repository. resources/photo-talk/*/yfcc-index.json contains their source URLs, Flickr page URLs, attribution, and source licenses. Other task resources, including images created for this dataset, remain included as files.

Considerations for Using the Data

By using this dataset, you agree to:

  • Not attempt to identify speakers, de-anonymize participants, or link them to external identities.
  • Respect redaction segments and avoid reconstructing or inferring removed content.
  • Use the dataset in accordance with the license and applicable laws and regulations.

Licensing Information

CC BY 4.0 (Creative Commons Attribution 4.0 International)

Please review the full license text: https://creativecommons.org/licenses/by/4.0/

For commercial inquiries, collaboration, or a separate commercial agreement, contact agent@oto.earth.

Third-party stimuli

The CC BY 4.0 grant covers what this repository contains. It does not extend to the 82 Photo Talk photographs that are indexed rather than included. Those are YFCC100M/Flickr works under CC-BY (40), CC-BY-SA (25), and CC-BY-ND (17). Fetching one from the URL in resources/photo-talk/*/yfcc-index.json brings it to you under its own license: credit the photographer as recorded in the index, and honour the ShareAlike and NoDerivatives terms where they apply.

Citation 

@misc{otospeech_full_duplex_task_oriented_20h,
  title        = {otoSpeech-full-duplex-task-oriented-20h: Full-Duplex Task-Oriented Conversations},
  author       = {otoearth},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/datasets/otoearth/otoSpeech-full-duplex-task-oriented-20h}},
  note         = {License: CC BY 4.0}
}
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