| --- |
| license: other |
| task_categories: |
| - audio-classification |
| - audio-to-audio |
| tags: |
| - neurips2026 |
| - bioacoustics |
| - sound-event-detection |
| - synthetic |
| private: true |
| --- |
| |
| # Synthetic Detect Diarize |
|
|
| This dataset contains synthetic bioacoustic 10-second WAV audio and source |
| annotation metadata. It does not include generated language-pair conversations, |
| captions, QA pairs, or other `data-synth` outputs. |
|
|
| Rows: 1,000,000 |
| Shards: 50 |
| Maximum rows per shard: 20,000 |
|
|
| ## Files |
|
|
| - `data-20k/train-*.tar`: WebDataset-style shards containing `audio/<audio_name>` |
| and `selection_tables/<selection_table_name>` entries. |
| - `metadata.parquet`: one row per audio file, with `id`, `audio_name`, and |
| `selection_table_name`. |
|
|
| The selection tables include diarization metadata such as `Speaker`, `SNR (dB)`, `Source Stem`, and `Source File` when present. |
|
|
| ## Source |
|
|
| Canonical source: `gs://foundation-model-data/synthetic/synthetic_sed_diarization_16k` |
|
|
