MM-Turn-Taking-Candor-AVCocktail
Collection
Pretrained models related to Candor & AVCocktail datasets. • 11 items • Updated
Datasets:
Search is not available for this dataset
roddy_events dict |
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156.3879... |
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AVCocktail Turn-Taking
Turn-taking event labels (speaker shifts and holds) for pairwise speaker conversations, derived from the AVCocktail (from MCoRec challenge) audio-visual cocktail-party dataset.
Files are per-session, per-speaker-pair JSON label files, kept in the same directory layout as the source dataset:
train/
central-train_channelmaps.pkl # so that the model knows to map to the correct speaker in a dyadic
session_00/
events-spk_3-spk_4.json
session_01/
events-spk_3-spk_4.json
...
dev/
central-dev_channelmaps_filtered.pkl
session_40/
annotated/
events-spk_0-spk_1.json
events-spk_2-spk_3.json
events-spk_4-spk_5.json
session_132/
annotated/
...
...
Splits
- train (62 files, 56 sessions): turn-taking events produced by a rule-based detector (no human annotation).
- dev (33 files, 15 sessions): turn-taking events manually annotated from
Praat TextGrids by a human annotator — used as ground truth for evaluating
the rule-based detector / trained models. Only sessions with human
annotation available are included; files live under each session's
annotated/subdirectory.
File format
Event labels (events-*.json)
Each JSON file has a single top-level key, roddy_events, containing:
{
"roddy_events": {
"shifts": {"0": [<timestamps in seconds>], "1": [<timestamps in seconds>]},
"holds": {"0": [<timestamps in seconds>], "1": [<timestamps in seconds>]}
}
}
roddy_eventsis a historical name. Don't ask me why.shifts: timestamps where the conversational floor shifts to the other speaker.holds: timestamps where the same speaker holds the floor after a pause.- Keys
"0"and"1"correspond to the first/second speaker named in the filename, e.g. forevents-spk_3-spk_4.json,"0"=spk_3,"1"=spk_4— this also matches theL/Rchannel order in the channel-map files below.
Channel maps (central-train_channelmaps.pkl, central-dev_channelmaps_filtered.pkl)
Pickled pandas DataFrames, one row per session/speaker-pair, mapping the
stereo audio channels to speaker ids:
| Column | Description |
|---|---|
id |
Session + pair identifier, e.g. central-session_23-spk_2-spk_3 (train) or session_54-spk_0-spk_1 (dev) |
L |
Speaker id on the left (channel 0) — matches the smaller index in the corresponding events-*.json |
R |
Speaker id on the right (channel 1) — matches the greater index in the corresponding events-*.json |
train has 62 rows (one per training pair); dev has 35 rows (one per dev pair).
Notes
- This dataset contains only the turn-taking event labels and channel-mapping metadata, not the underlying audio/video.
License
MIT Licence. We do not own the dataset. We only distribute the labels. The original dataset is AVCocktail (MCoRec). Please check their licence for data use.
Citations
Accepted to IEEE SLT 2026. Citations TBU.
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