Update README.md

README.md

@@ -43,7 +43,7 @@ If you need to utilize multimodal data, you may consider the following options:
     - [`video_embedding_4096.npy`](https://drive.google.com/file/d/1NGSsiQYDTqgen_g9qndSuha29JA60x14/view?usp=share_link): the embedding table composed of the 4096-dimensional visual features of each utterances extracted with 3D-CNN
     - Please note that the above features only include the original ECF (1.0) dataset; the SemEval evaluation data is not included. If needed, you can contact us, and we will do our best to release new features.
   
-2. You can download the raw video clips from [MELD](https://github.com/declare-lab/MELD). Since ECF (1.0) is constructed based on the MELD dataset, most utterances in ECF (1.0) correspond to those in MELD. The correspondence can be found in the file [all_data_pair_ECFvsMELD.txt](https://github.com/NUSTM/MECPE/blob/main/data/all_data_pair_ECFvsMELD.txt). However, **we have made certain modifications to MELD's raw data while constructing ECF, including but not limited to editing utterance text, adjusting timestamps, and adding or removing utterances**. Therefore, some timestamps provided in ECF (1.0) have been corrected and may differ from those in MELD. There are also new utterances that cannot be found in MELD. Given this, we recommend option (3) if feasible.
+2. You can download the raw video clips from [MELD](https://github.com/declare-lab/MELD). Since ECF (1.0) is constructed based on the MELD dataset, most utterances in ECF (1.0) correspond to those in MELD. The correspondence can be found in the last column of the file [all_data_pair_ECFvsMELD.txt](https://github.com/NUSTM/MECPE/blob/main/data/all_data_pair_ECFvsMELD.txt). However, **we have made certain modifications to MELD's raw data while constructing ECF, including but not limited to editing utterance text, adjusting timestamps, and adding or removing utterances**. Therefore, some timestamps provided in ECF (1.0) have been corrected and may differ from those in MELD. There are also new utterances that cannot be found in MELD. Given this, we recommend option (3) if feasible.
 
 3. Download the raw videos of _Friends_ from the website, and use the FFmpeg toolkit to extract audio-visual clips of each utterance based on the timestamps we provide.