Update README.md

README.md

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 ABX-accent
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-The ABX-accent project is based on the preparation and evaluation of the Accented English Speech Recognition Challenge (AESRC) dataset [1], using fastABX[2] for evaluation. This repository provides all the necessary tools and resources to carry out both dataset preparation and evaluation.
+The ABX-accent project is based on the preparation and evaluation of the Accented English Speech Recognition Challenge (AESRC) dataset [1], using fastABX [2] for evaluation. This repository provides all the items files you can use for evaluation.
+
 
 What is ABX Evaluation?
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-The ABXpy metric evaluates whether a representation X of a speech unit (e.g., the word “bap”) is closer to a same-category example A (also “bap”) than to a different-category example B (e.g., “bop”). The ABX error rate is calculated by averaging the classification errors over all minimal phoneme trigrams in the corpus.
+The ABX metric evaluates whether a representation X of a speech unit (e.g., the word “bap”) is closer to a same-category example A (also “bap”) than to a different-category example B (e.g., “bop”). The ABX error rate is calculated by averaging the classification errors over all minimal phoneme trigrams in the corpus.
 
-This benchmark focuses on the more challenging ABX across-speaker task, where the X example is spoken by a different speaker than the ones in pair (A, B), testing speaker-invariant phonetic discrimination.
+This benchmark focuses on the more challenging ABX across/within speaker task, where the X example is spoken by a different speaker than the ones in pair (A, B), testing speaker-invariant phonetic discrimination.
 
 About the Dataset
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