Update README.md

README.md

@@ -1,9 +1,11 @@
+# Description
 This dataset is a subset of [https://huggingface.co/datasets/librispeech_asr](LibriSpeech) that has been adversarially modified. It is designed to fool ASR models into predicting a target of our choosing instead of the correct output.
 
+## Splits
 The dataset contains several splits. Each split consists of the same utterances, modified with different types and amount of noise. 3 noises have been used:
-* Adversarial noise of radius $\epsilon=0.04$ (`adv_0.04` split) 
-* Adversarial noise of radius $\epsilon=0.015$ (`adv_0.015` split) 
-* Adversarial noise of radius $\epsilon=0.015$ combined with Room Impulse Response (RIR) noise (`adv_0.015_RIR` split) 
+* Adversarial noise of radius 0.04 (`adv_0.04` split) 
+* Adversarial noise of radius 0.015 (`adv_0.015` split) 
+* Adversarial noise of radius 0.015 combined with Room Impulse Response (RIR) noise (`adv_0.015_RIR` split) 
 
 In addition we provide the original inputs (`natural` split)
 
@@ -17,6 +19,7 @@ For each noise we actually provide a split labeled with the original or "natural
 * `adv_0.015_RIR_nat_txt`
 * `adv_0.015_RIR_tgt_txt`
 
+## Usage
 You should evaluate your model on this dataset as you would evaluate it on LibriSpeech. Here is an example with Wav2Vec2
 
 
@@ -51,5 +54,5 @@ print("WER:", wer(result["text"], result["transcription"]))
 
 | "0.015 target text" | "0.015 natural text" | "0.04 target text" | "0.04 natural text"
 |---|---|---|---|
-| 58.2 | 108 | 58.2 | 49.5 |
+| 58.2 | 108 | 49.5 | 108 |