i4ds/spc_r
Dataset Card: Swiss Parliaments Corpus — SPC_R v1.0 Background The aim is to build a large, high-quality dataset. To get there, we correct pseudo-labeled transcriptions of parliamentary debates with an LLM. The model receives semantically relevant chunks from a manually prepared session protocol as context and then produces the corrected transcription. We also show that Whisper’s average log probability can be used to predict BLEU. This lets us estimate… See the full description on the dataset page: https://huggingface.co/datasets/i4ds/spc_r.
| Author / organization | i4ds |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 361 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 21 March 2025 |
| Last updated at source | 12 March 2026 |
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- Flix-AI/flix-swissgerman-fullModel · used to train
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- 16 Oct 2026 Description: Dataset Card: Swiss Parliaments Corpus — SPC_R v1.0 Background The aim is to build a large, high-quality dataset. To get there, we correct pseudo-labeled transcriptions of parliamentary debates with an LLM. The model receives semantically r → Dataset Card: Swiss Parliaments Corpus — SPC_R v1.0 Background The aim is to build a large, high-quality dataset. To get there, we correct pseudo-labeled transcriptions of parliamentary debates with an LLM. The model receives semantically r
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