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@@ -57,7 +57,7 @@ Dataset statistics for each dimension in the MMLA benchmark. #C, #U, #Train, #Va
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  - **MOSI**: Collected from YouTube opinion videos (released in 2016/06).
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  - **IEMOCAP**: Collected from scripted improvisational acting (released in 2008/12).
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  - **Anno-MI**: Collected from publicly available YouTube and Vimeo videos (released in 2023/03).
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  #### 2.3 License
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  This benchmark uses nine datasets, each of which is employed strictly in accordance with its official license and exclusively for academic research purposes. We fully respect the datasets’ copyright policies, license requirements, and ethical standards. For those datasets whose licenses explicitly permit redistribution, we release the original video data (e.g., [MIntRec](https://github.com/thuiar/MIntRec), [MIntRec2.0](https://github.com/thuiar/MIntRec2.0), [MELD](https://github.com/declare-lab/MELD), [UR-FUNNY-v2](https://github.com/ROC-HCI/UR-FUNNY), [MUStARD](https://github.com/soujanyaporia/MUStARD), [MELD-DA](https://github.com/sahatulika15/EMOTyDA), [CH-SIMS v2.0](https://github.com/thuiar/ch-sims-v2), and [Anno-MI](https://github.com/uccollab/AnnoMI). For datasets that restrict video redistribution, users should obtain the videos directly from their official repositories (e.g., [MOSI](https://github.com/matsuolab/CMU-MultimodalSDK), [IEMOCAP and IEMOCAP-DA](https://sail.usc.edu/iemocap). In compliance with all relevant licenses, we also provide the original textual data unchanged, together with the specific dataset splits used in our experiments. This approach ensures reproducibility and academic transparency while strictly adhering to copyright obligations and protecting the privacy of individuals featured in the videos.
 
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  - **MOSI**: Collected from YouTube opinion videos (released in 2016/06).
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  - **IEMOCAP**: Collected from scripted improvisational acting (released in 2008/12).
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  - **Anno-MI**: Collected from publicly available YouTube and Vimeo videos (released in 2023/03).
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+
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  #### 2.3 License
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  This benchmark uses nine datasets, each of which is employed strictly in accordance with its official license and exclusively for academic research purposes. We fully respect the datasets’ copyright policies, license requirements, and ethical standards. For those datasets whose licenses explicitly permit redistribution, we release the original video data (e.g., [MIntRec](https://github.com/thuiar/MIntRec), [MIntRec2.0](https://github.com/thuiar/MIntRec2.0), [MELD](https://github.com/declare-lab/MELD), [UR-FUNNY-v2](https://github.com/ROC-HCI/UR-FUNNY), [MUStARD](https://github.com/soujanyaporia/MUStARD), [MELD-DA](https://github.com/sahatulika15/EMOTyDA), [CH-SIMS v2.0](https://github.com/thuiar/ch-sims-v2), and [Anno-MI](https://github.com/uccollab/AnnoMI). For datasets that restrict video redistribution, users should obtain the videos directly from their official repositories (e.g., [MOSI](https://github.com/matsuolab/CMU-MultimodalSDK), [IEMOCAP and IEMOCAP-DA](https://sail.usc.edu/iemocap). In compliance with all relevant licenses, we also provide the original textual data unchanged, together with the specific dataset splits used in our experiments. This approach ensures reproducibility and academic transparency while strictly adhering to copyright obligations and protecting the privacy of individuals featured in the videos.