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Update README to match new paper title and complete V33DA++ documentation

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@@ -25,11 +25,11 @@ configs:
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  path: v33da-*.parquet
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  ---
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- # V33DA: A Multi-Modal Benchmark for Vocal Attribution in Freely Interacting Zebra Finches
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- **Task.** Given a detected zebra finch vocalization and the set of birds visible at that moment, determine which bird produced the call.
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- V33DA provides 33,625 vocalization events from 10 individually identified zebra finches across 3 experiments (2021--2023), each with synchronized 5-channel audio, multi-view video, 3D pose, FM radio telemetry, and accelerometer-derived ground-truth labels.
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  | | BP01 | BP02 | BP05 | Total |
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  |---|---|---|---|---|
@@ -38,7 +38,7 @@ V33DA provides 33,625 vocalization events from 10 individually identified zebra
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  | Recording days | 10 | 3 | 3 | 16 |
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  | Raw hours | ~46h | ~14h | ~14h | ~74h |
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- **Code:** [github.com/marisbasha/v33da](https://github.com/marisbasha/v33da)  ·  **Companion release:** [songbirdini/v33da_pp](https://huggingface.co/datasets/songbirdini/v33da_pp) (overlap and longer-context buckets)
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  ## Quick start
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@@ -155,7 +155,7 @@ If you use V33DA, please cite:
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  ```bibtex
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  @unpublished{basha2026v33da,
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- title = {Who Called? V33DA: A Multimodal Benchmark for Transferable Spatial Vocal Attribution in Social Zebra Finches},
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  author = {Basha, Maris and Wang, Yuhang and Chen, Xiaoran and Cheng, Longbiao and Yapura, Luca and Zai, Anja T. and Salzmann, Mathieu and Hahnloser, Richard},
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  year = {2026},
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  note = {Under review},
 
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  path: v33da-*.parquet
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  ---
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+ # Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups
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+ **Task.** Given a detected zebra finch vocalization and the set of birds visible at that moment, determine which bird produced the call. Caller identity is verified physically from on-body accelerometer vibration; the accelerometer channel is withheld from benchmark models and used only by an oracle ceiling.
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+ V33DA provides 33,625 verified vocalization events from 10 individually identified zebra finches across 3 experiments (2021–2023), each with synchronized 5-channel audio, multi-view video, calibrated 3D pose for every visible candidate, per-bird FM radio telemetry, and accelerometer-derived ground-truth labels.
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  | | BP01 | BP02 | BP05 | Total |
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  |---|---|---|---|---|
 
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  | Recording days | 10 | 3 | 3 | 16 |
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  | Raw hours | ~46h | ~14h | ~14h | ~74h |
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+ **Code:** [github.com/marisbasha/v33da](https://github.com/marisbasha/v33da)  ·  **Companion release:** [songbirdini/v33da_pp](https://huggingface.co/datasets/songbirdini/v33da_pp) (V33DA++: overlap and longer-context buckets)
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  ## Quick start
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  ```bibtex
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  @unpublished{basha2026v33da,
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+ title = {Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups},
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  author = {Basha, Maris and Wang, Yuhang and Chen, Xiaoran and Cheng, Longbiao and Yapura, Luca and Zai, Anja T. and Salzmann, Mathieu and Hahnloser, Richard},
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  year = {2026},
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  note = {Under review},