Librarian Bot: Update dataset YAML metadata for model

README.md

@@ -3,34 +3,22 @@ language: gsw
 tags:
 - hf-asr-leaderboard
 - robust-speech-event
+datasets: manifoldix/swg_parliament_fhnw
 widget:
 - example_title: swiss parliament sample 1
   src: https://huggingface.co/manifoldix/xlsr-sg-lm/resolve/main/07e73bcaa2ab192aea9524d72db45f34f274d1b3d5672434c462d32d44d792be.mp3
 - example_title: swiss parliament sample 2
   src: https://huggingface.co/manifoldix/xlsr-sg-lm/resolve/main/14a2f855363920f111c7b30e8632c19e5f340ab5031e1ed2621db39baf452ae0.mp3
-model-index:
-- name: XLS-R-1b Wav2Vec2 Swiss German
-  results:
-  - task:
-      name: Speech Recognition
-      type: automatic-speech-recognition
-    metrics:
-    - name: Test WER on Swiss parliament
-      type: wer
-      value: 34.6%
-    - name: Test WER on Swiss dialect test set
-      type: wer
-      value: 40%
 ---
 
-
-## XLSR-1b Swiss German
-Fine-tuned on the Swiss parliament dataset from FHNW v1 (70h).
-
-Tested on the Swiss parliament test set with a WER of 34.6%
-
-Tested on the "Swiss German Dialects" with a WER of 40%
-
-Both test sets can be accessed here: [fhnw_datasets](https://www.cs.technik.fhnw.ch/i4ds-datasets)
-
+
+## XLSR-1b Swiss German
+Fine-tuned on the Swiss parliament dataset from FHNW v1 (70h).
+
+Tested on the Swiss parliament test set with a WER of 34.6%
+
+Tested on the "Swiss German Dialects" with a WER of 40%
+
+Both test sets can be accessed here: [fhnw_datasets](https://www.cs.technik.fhnw.ch/i4ds-datasets)
+
 The Swiss German dialect private test set has been uploaded on huggingface: [huggingface_swiss_dialects](https://huggingface.co/datasets/manifoldix/swg_parliament_fhnw)