| --- |
| 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](https://www.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 |
|
|
| ```python |
| 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. |
|
|
| ```bibtex |
| @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}} |
| } |
| ``` |
|
|
