---
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: sentence
    dtype: string
  - name: client_id
    dtype: int64
  - name: path
    dtype: string
  - name: iou_estimate
    dtype: float64
  splits:
  - name: test
    num_bytes: 824098015.94
    num_examples: 3332
  download_size: 810291527
  dataset_size: 824098015.94
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
---

# Dataset Card: Swiss Parliaments Corpus — Test

## Summary

The SPC Train v0.9 release pairs **Swiss German speech** with **Standard German transcriptions**, providing a high‑quality resource for training and evaluating automatic speech‑recognition (ASR) or speech‑translation systems.

---

## Dataset Details

### Maintainer

* **Curated by:** [Vincenzo Timmel](mailto:vincenzo.timmel@fhnw.ch) (@vincenzo.timmel)

---

## Intended Use & Scope

* **Primary use‑case:** Evaluation for Swiss-German STT Systems.
---

## Dataset Sources

* **Related papers:** [“Swiss Parliaments Corpus”](https://arxiv.org/pdf/2010.02810), ["Fine-tuning Whisper on Low-Resource Languages"](https://arxiv.org/abs/2412.15726)

---

## Citation

If you use this corpus, please cite the papers above and acknowledge **I4DS FHNW** for data preparation.