Update README.md

README.md

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-This is a fine-tuned version of [**`openai/whisper-large-v3`**](https://huggingface.co/openai/whisper-large-v3) for `Luganda` non-standard speech. It is part of CDLI's effort to make speech technology work for people whose speech is underserved by mainstream ASR systems.
+This is a fine-tuned version of [**`openai/whisper-large-v3`**](https://huggingface.co/openai/whisper-large-v3) for `Luganda` standard speech. It is part of CDLI's effort to make speech technology work for people whose speech is underserved by mainstream ASR systems.
 
 All CDLI models and datasets can be found on [**CDLI's HuggingFace page**](https://huggingface.co/cdli).
 
 ## Dataset
 
-The model has been fine-tuned using [`google/WaxalNLP`](https://huggingface.co/datasets/google/WaxalNLP), a dataset of speech samples of people living with impaired speech across a range of impairment **severity levels** and **etiologies**. The `lug_asr` subset of the dataset was used.
+The model has been fine-tuned using [`google/WaxalNLP`](https://huggingface.co/datasets/google/WaxalNLP). The `lug_asr` subset of the dataset was used.
 
 ## Training
 
-The *train* split was used for training, and the *dev* split for selecting the best checkpoint. **Note:** This Whisper model was fine-tuned and is decoded using the **Swahili** (`sw`) language setting — out of all languages Whisper supports, the one most similar to Luganda.
+The *train* split was used for training, and the *dev* split for selecting the best checkpoint. 
+
+This Whisper model was fine-tuned and is decoded using the **Swahili** (`sw`) language setting — out of all languages Whisper supports, the one most similar to Luganda.
 
 All model parameters (encoder, decoder, and output projection) were fine-tuned, with SpecAugment enabled.