Update README.md

README.md

@@ -10,7 +10,7 @@ base_model:
 
 - Place the WAV and JSON files in `dev_data`. 
 
-To distinguish the recognition performance of each part, the file names for part one need to be prefixed with fold-d-, for part two with fold-a-, fold-b-, fold-c-, and for part three with fold-e-. If the audio files for part 1 and part 3 do not have the prefixes fold-d- and fold-e-, you will need to add them yourself. For example, if the file name of the Part 1 audio is 5402400A, then add a prefix to make it fold-d-5402400A. If the file name of the Part 3 audio is audio_0001405, then add a prefix to make it fold-e-audio_0001405.
+To distinguish the recognition performance of each part, the file names of the training audio for Part One need to be prefixed with fold1-d-, those for Part Two need to be prefixed with fold1-a-, fold1-b-, fold1-c-, and those for Part Three need to be prefixed with fold1-e-. If the training audio file names for Part One and Part Three do not have the prefixes fold1-d- and fold1-e-, you will need to add them yourself. For example, if the file name of the training audio for Part One is 5402400A, then add the prefix to make it fold1-d-5402400A. If the file name of the audio for Part Three is audio_0001405, then add the prefix to make it fold1-e-audio_0001405. The process for the development set is the same, except that fold1 should be changed to fold2.
 
 Download the pre-trained Sentence-BERT model and tokenizer from the following URL
 and Place the downloaded pre-trained model and tokenizer inside the `../../qwen2_audio_baseline/Bert_pretrain`