---
configs:
- config_name: clocks
  data_dir: clocks
- config_name: heartbeats
  data_dir: heartbeats
- config_name: dolphins
  data_dir: dolphins/test_padded
license: cc-by-nc-4.0
---

# Dataset Card for RepeatReal

Real-world portion of the audio datasets referenced in *Class-Agnostic Audio Repetition Counting*.

Code: https://github.com/Hamozwa/audio-counting

## Dataset Summary

Unlike the synthetic RepeatSynth data, these are real, variable-length recordings across three domains, used as held-out test sets for models trained only on synthetic data.

| Config | Domain | Source |
|---|---|---|
| `clocks` | Mechanical (ticking clocks) | BBC Sound Effects |
| `heartbeats` | Medical (heart sounds) | PhysioNet/CinC Challenge 2016 |
| `dolphins` | Ecological (dolphin click trains) | Song et al., Springer Nature Figshare |

Each config has a single `test` split.

```python
from datasets import load_dataset
ds = load_dataset("Hamozwa/RepeatReal", "clocks", split="test")
```

## Dataset Structure

| Field | Type | Description |
|---|---|---|
| `audio` | `Audio` | The (variable-length) wav clip |
| `location` | `string` | Original filename |
| `repetitions` | `int` | Ground-truth repetition count |
| `start_time` | `float` | *(clocks only)* seconds to trim from the start of the clip before scoring |

## Dataset Sources

- Clocks — https://sound-effects.bbcrewind.co.uk/ — Clocks subset
- Heartbeats — https://physionet.org/content/challenge-2016/1.0.0/ — training set
- Dolphins — https://springernature.figshare.com/articles/dataset/Acoustic_recordings_of_underwater_vocalizations_of_Indo-Pacific_humpback_dolphins_in_Xiamen_Bay_China/29143727 — Click Trains folder

## Licensing

Each domain comes from a different source with different terms. Treat the dataset as a whole under the most restrictive of the three (Clocks) unless you separate out only the domains you need.

**Clocks** — BBC Sound Effects. Full terms: https://sound-effects.bbcrewind.co.uk/licensing

**Heartbeats** — PhysioNet/CinC Challenge 2016. Licensed under the Open Data Commons Attribution License v1.0

**Dolphins** — Song et al., Springer Nature Figshare. Licensed under CC BY 4.0

## Citation

```bibtex
[Your paper's BibTeX entry here]
```