songbirdini/v33da_pp

V33DA++

Summary

V33DA++ is a companion release to the V33DA benchmark. It is built from the same BirdPark recordings and the same 10 birds, but includes data outside the strict single-vocalizer benchmark clips. V33DA++ is intended for tasks that require overlapping callers or longer temporal context, such as source separation, vocal activity detection, audio-visual synchronization, or active-speaker detection.

V33DA++ contains two buckets:

• overlap: reviewer-verified events that were excluded from V33DA because another bird vocalized within the same window. Each sample includes the list of overlapping callers verified from on-body accelerometer channels.
• padded: +/-2s context windows around each V33DA event, preserving the original event onset/offset inside a longer window.

This release is not the benchmark used in the V33DA paper’s main results tables.

Data Structure

Top-level folders:

• overlap/: V33DA++ overlap bucket
• overlap_padded/: overlap bucket with +/-2s context
• padded/: V33DA++ padded-context bucket

Each bucket contains:

• v33da_pp_*.parquet: data shards
• audio/: multi-channel cage microphone WAVs (if exported)
• accelerometer/: multichannel on-body vibration WAVs (if exported)
• clips/: aligned MP4 clips (if exported)
• metadata.json: build metadata and filters

Configs

We publish two dataset configs:

• overlap: overlap-filtered calls with the verified list of overlapping callers
• overlap_padded: overlap bucket with +/-2s context
• padded: +/-2s context windows around each V33DA event

Data Fields (Parquet)

All V33DA fields are preserved, plus:

• overlap_callers: list of overlapping caller colors (overlap bucket)
• overlap_count: number of overlapping callers (overlap bucket)
• event_onset_sec, event_offset_sec
• event_onset_frame, event_offset_frame
• context_pad_sec

License

CC-BY-4.0. External tools used during preprocessing (e.g., Whisper/WhisperSeg, SAM2, ByteTrack, YOLOX-Pose) retain their original licenses.

Citation

If you use V33DA or V33DA++, please cite the V33DA paper:

@inproceedings{basha2026v33da,
  title={Who Called? V33DA: A Multimodal Benchmark for Spatial Vocal Attribution in Social Zebra Finches},
  author={Basha, Maris and others},
  booktitle={NeurIPS},
  year={2026}
}