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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: |
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audio: |
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sampling_rate: 16000 |
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- name: sentence |
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dtype: string |
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- name: client_id |
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dtype: int64 |
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- name: path |
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dtype: string |
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- name: iou_estimate |
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dtype: float64 |
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splits: |
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- name: test |
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num_bytes: 824098015.94 |
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num_examples: 3332 |
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download_size: 810291527 |
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dataset_size: 824098015.94 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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--- |
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# Dataset Card: Swiss Parliaments Corpus — Test |
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## Summary |
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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. |
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--- |
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## Dataset Details |
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### Maintainer |
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* **Curated by:** [Vincenzo Timmel](mailto:vincenzo.timmel@fhnw.ch) (@vincenzo.timmel) |
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--- |
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## Intended Use & Scope |
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* **Primary use‑case:** Evaluation for Swiss-German STT Systems. |
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--- |
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## Dataset Sources |
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* **Related papers:** [“Swiss Parliaments Corpus”](https://arxiv.org/pdf/2010.02810), ["Fine-tuning Whisper on Low-Resource Languages"](https://arxiv.org/abs/2412.15726) |
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--- |
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## Citation |
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If you use this corpus, please cite the papers above and acknowledge **I4DS FHNW** for data preparation. |
