Create README.md

README.md

@@ -0,0 +1,38 @@
+---
+license: cc-by-4.0
+task_categories:
+- sentence-similarity
+language:
+- ml
+pretty_name: Malayalam ASR Reference Prediction dataset
+size_categories:
+- n<1K
+---
+# Malayalam ASR Reference Prediction dataset
+
+This repository contains evaluation results from the Malayalam ASR model "vrclc/Whisper_small_malayalam" using the "google/fleurs" dataset.
+
+* ASR Model Name: [vrclc/Whisper_small_malayalam](https://huggingface.co/vrclc/Whisper_small_malayalam)
+* Dataset: [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test)
+
+
+### Dataset Description
+
+- **Curated by:** VRCLC
+- [vrclc/Whisper_small_malayalam](https://huggingface.co/vrclc/Whisper_small_malayalam) was trained with 50 hours of Malayalam speech data.
+- The test set of [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test) dataset which consists of Malayalam speech data was used to evaluate the model
+- The evaluation of 500 samples from [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test) and gives an unnormalized WER is 60.4%.
+
+## Uses
+
+
+
+### Direct Use
+
+This repository serves to provide an insight in error analysis which helps to identify general mistakes and areas for improvement in Malayalam speech recognition.
+
+
+
+## Dataset Card Authors
+
+Leena G Pillai, Kavya Manohar