Update README.md

README.md

@@ -33,7 +33,8 @@ If you need to utilize multimodal data, you may consider the following options:
 1. Use the acoustic and visual features we provide:
     - [`audio_embedding_6373.npy`](https://drive.google.com/file/d/1EhU2jFSr_Vi67Wdu1ARJozrTJtgiQrQI/view?usp=share_link): the embedding table composed of the 6373-dimensional acoustic features of each utterances extracted with openSMILE
     - [`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
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+    - 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. Since ECF is constructed based on the MELD dataset, you can download the raw video clips from [MELD](https://github.com/declare-lab/MELD). 
 Most utterances in ECF align with MELD. 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 have been corrected, and there are also new utterances that cannot be found in MELD. Given this, we recommend option (3) if feasible.