Update README.md

README.md

@@ -29,7 +29,7 @@ language:
 pretty_name: S
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-# Dataset Card: Swiss German ↔ Standard German Speech Corpus (SPC) — Train v0.9
+# Dataset Card: Swiss Parliaments Corpus — Train v0.9
 
 ## Summary
 
@@ -57,17 +57,6 @@ max_overlap_chance: 0.50       # If an overlap occurs, probability of using the
 max_overlap_duration: 0.30     # Maximum overlap length in seconds
 ```
 
-**Parameter glossary**
-
-| Parameter                 | Description                                                                                             |
-| ------------------------- | ------------------------------------------------------------------------------------------------------- |
-| `maintain_speaker_chance` | Likelihood that adjacent utterances originate from the same speaker, enabling more natural dialog flow. |
-| `n_samples_per_srt`       | Target number of utterances combined into a single subtitle (SRT) segment.                              |
-| `normalize_text`          | Applies rule‑based cleanup (e.g., punctuation, casing) to canonicalise transcripts.                     |
-| `overlap_chance`          | Chance of introducing slight temporal overlaps to mimic conversational turn‑taking.                     |
-| `max_overlap_chance`      | When an overlap is triggered, probability of shortening silence completely (back‑to‑back speech).       |
-| `max_overlap_duration`    | Hard cap on overlap length, preventing excessive speech collision.                                      |
-
 ### Maintainer
 
 * **Curated by:** [Vincenzo Timmel](mailto:vincenzo.timmel@fhnw.ch) (@vincenzo.timmel)
@@ -76,8 +65,8 @@ max_overlap_duration: 0.30     # Maximum overlap length in seconds
 
 ## Intended Use & Scope
 
-* **Primary use‑case:** Fine‑tuning and evaluating multilingual ASR or speech‑translation models, particularly OpenAI Whisper.
-* **Not suitable for:** Language‑identification or emotion‑recognition tasks without additional annotation.
+* **Primary use‑case:** Fine‑tuning multilingual ASR or speech‑translation models, particularly OpenAI Whisper.
+* **Not suitable for:** Language‑identification or emotion‑recognition tasks without additional annotation. For evaluation, please see ["SPC_Test"](https://huggingface.co/datasets/i4ds/SPC_test)
 
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