Datasets:

Fullduplex-ai
/

catalog

license: cc-by-4.0
pretty_name: Fullduplex catalogue
language:
  - en
tags:
  - full-duplex
  - speech-to-speech
  - spoken-dialogue
  - voice-ai
size_categories:
  - n<1K
configs:
  - config_name: models
    data_files: data/models.jsonl
  - config_name: datasets
    data_files: data/datasets.jsonl
  - config_name: benchmarks
    data_files: data/benchmarks.jsonl

Fullduplex catalogue

The models, datasets and benchmarks for full-duplex and speech-to-speech voice AI that fullduplex.ai tracks, one row per entry. Every row links to the entry's own pages (official page, paper, repository) and to its page on fullduplex.ai.

Config	Rows	One row per
`models`	70	model, hosted API, voice-agent platform or framework
`datasets`	107	speech dataset
`benchmarks`	64	benchmark

Snapshot of 2026-11-09. The site is updated every week, so it can be newer than this file.

Fields worth knowing

full_duplex: for models, one model listens and speaks at the same time (duplex_type is full-duplex; the others are cascade, half-duplex and other). For datasets, each speaker is recorded on a separate channel. For benchmarks, the benchmark measures full-duplex behaviour such as turn-taking and interruptions.
first_response_ms: the vendor's own claim, not a measurement by fullduplex.ai.
speaker_consent: consented, public (collected from public media), mixed or unknown.
license_class: permissive, share-alike, non-commercial, gated or custom. The exact terms are in license.
page_url: the entry's page on fullduplex.ai, with the sources and the weekly reports that mention it.

Load it

from datasets import load_dataset

models = load_dataset("Fullduplex-ai/catalog", "models", split="train")

Licence and citation

CC BY 4.0. Please credit Fullduplex and link to https://www.fullduplex.ai.

@misc{fullduplex_catalog,
  title        = {Fullduplex catalogue: models, datasets and benchmarks for full-duplex voice AI},
  author       = {{Fullduplex}},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/datasets/Fullduplex-ai/catalog}}
}