Ocular AI Data Samples
Collection
Free preview samples of OcularAI's speech & conversational datasets. Request the full datasets for commercial licensing. • 3 items • Updated
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This is a free prompt-based preview sample of OcularAI's full British English Full-Duplex Two-Speaker Conversational Dataset. It contains high-fidelity recordings of identifiable human speakers and self-reported demographic attributes. By requesting access you agree to use the data for evaluation, research, and AI development only, to follow the terms of use, and to make no attempt to identify or contact any speaker. For commercial licensing or access to the full dataset, contact OcularAI.
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British English Full-Duplex Two-Speaker Conversational Dataset — Prompt-Based Sample
This is a free prompt-based preview of OcularAI's full British English Full-Duplex Two-Speaker Conversational Dataset. Each conversation is an open, natural discussion — paired speakers were prompted to talk freely on a topic of their choice. Audio is high-fidelity FLAC, with each speaker on an independent, isolated track. (For conversations directed by a designed scenario targeting a specific turn-taking / voice-dynamics behavior, see the companion Scenario-Based samples in the same collection.) For full-dataset access or commercial licensing, contact OcularAI.
What's in this sample
- 28 conversations of natural British-English full-duplex dialogue
- 56 isolated speaker tracks — one per speaker, lossless FLAC
- All speakers based in the United Kingdom (self-reported), British-accented English
- Self-reported speaker demographics (gender, location, ethnicity)
Dataset summary
Natural, unscripted, two-speaker British-English conversations recorded by fluent UK-based English speakers. Each session is a spontaneous discussion between a matched pair of speakers on an everyday topic of their choice.
The recordings support the development of next-generation AI systems — helping them better understand natural speech patterns, conversational flow, turn-taking, and real-world human interaction. Each speaker is captured on an independent, isolated audio track, enabling per-speaker analysis, diarization, full-duplex modeling, ASR, and TTS.
Dataset structure
One row per speaker track, ordered by room_name so a conversation's two
speakers sit adjacent. Each row is one isolated voice with its own metadata; join
on room_name to reconstruct the conversation. Audio is lossless FLAC.
Fields (per row = one speaker's track)
| field | description |
|---|---|
file_name |
this speaker's isolated FLAC track |
room_name |
conversation/session key — shared by both speakers |
conversation_id |
conversation identifier |
slot_number |
recording slot index |
role |
SPEAKER_A or SPEAKER_B |
speaker_id |
stable speaker identifier |
duration_seconds |
track duration |
sample_rate_hz |
audio sample rate |
bit_depth |
audio bit depth |
language |
spoken language (en-GB) |
accent |
British |
prompt |
the open-topic instruction given to the pair |
gender |
self-reported |
city, country |
self-reported location |
ethnicity |
self-reported |
fluent_languages |
languages the speaker is fluent in |
Rows are ordered by room_name so a conversation's two speakers appear
adjacent. Join on room_name to reconstruct a full conversation.
The full dataset
This sample is a small, representative slice of OcularAI's full British English Full-Duplex Two-Speaker Conversational Dataset. The complete corpus is substantially larger and continues to grow, and spans both open-topic and scenario-directed conversations. Contact OcularAI for full access and commercial licensing terms.
Privacy & consent
Speaker names and emails are removed. Demographic fields are self-reported. Recordings were collected from consenting, compensated participants for AI research. Access requires agreeing to evaluation/research-only use and no re-identification.
Audio note
Tracks are lossless FLAC. Decode with datasets>=4.0 (torchcodec/FFmpeg),
soundfile, librosa, or any standard audio stack.
Licensing
© OcularAI. All rights reserved. This sample is provided for evaluation only. Licensing terms — including full commercial usage rights — are by agreement. Contact OcularAI for licensing.
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