problem
string
answer
string
images
list
videos
list
audios
list
dataset
string
texts
list
modality_signature
string
ext_video_feats
list
ext_audio_feats
list
task
string
class_label
string
<video> <audio> 妈,那我带你去隔壁转转。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/1.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/1.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/1.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/1.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 哎呀,听说你胃口很好,好多吃一点。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/2.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/2.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/2.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/2.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 说多少次了,你们家的衣服和网店的图片不一致。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0033/3.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/3.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/3.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/3.pt" ]
sentiment_cls
strongly_negative
<video> <audio> 放心,我妈平常还是挺和蔼的。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/4.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/4.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/4.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/4.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 很好,我警告你们,不要耍花样。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0033/5.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/5.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/5.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/5.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 你妈哪里和蔼了,我感觉她浑身散发着杀气。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0033/6.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/6.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/6.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/6.pt" ]
sentiment_cls
strongly_negative
<video> <audio> 阿姨你太有律师风采了,从看到你的第一眼起我就明白了大力如此优秀的原因。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/7.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/7.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/7.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/7.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 现在的年轻人谁不渴望一段倾城之恋,浪漫很重要。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
neutral
[]
[ "chsimsv2_dataset/train/aqgy5_0033/8.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/8.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/8.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/8.pt" ]
sentiment_cls
neutral
<video> <audio> 快夸我心灵手巧。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/9.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/9.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/9.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/9.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 所以我就做了小礼物。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/10.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/10.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/10.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/10.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 诶一菲,交给我吧办晚会我最拿手了。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/11.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/11.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/11.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/11.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 我一定要给你妈一个惊喜。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/12.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/12.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/12.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/12.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 吹拉弹唱 最强王者。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/13.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/13.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/13.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/13.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 哎呀,哦天呐这不是张律师。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/14.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/14.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/14.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/14.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 中秋佳节,金风送爽,今天我们欢聚一堂,赏良辰美景,度欢乐时光。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/15.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/15.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/15.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/15.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 赞助都是我精心挑选。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/16.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/16.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/16.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/16.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 我们小区住的都是开明人,百无禁忌。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/17.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/17.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/17.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/17.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 感谢真爱咖啡馆提供的美味月饼咖啡,咖啡要趁热,脱单要趁早。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/18.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/18.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/18.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/18.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 中秋是全家团圆的日子。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/20.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/20.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/20.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/20.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 我要谢谢我的朋友。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/21.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/21.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/21.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/21.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 但是因为第一次见面我太紧张了,就搞砸了。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0033/22.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/22.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/22.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/22.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 中秋快乐! Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/23.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/23.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/23.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/23.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 但请相信我,再给我些时间我会变得越来越好。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0033/24.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0033/24.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0033/24.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0033/24.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 你说我们会无家可归吗? Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/1.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/1.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/1.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/1.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 可是这里,能回忆的东西太多了,我都舍不得。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/2.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/2.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/2.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/2.pt" ]
sentiment_cls
strongly_negative
<video> <audio> 我现在终于理解,小破球的心情了。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/3.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/3.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/3.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/3.pt" ]
sentiment_cls
strongly_negative
<video> <audio> 房子都没了,要钱有什么用? Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/4.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/4.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/4.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/4.pt" ]
sentiment_cls
strongly_negative
<video> <audio> 在这住久了,怪舍不得。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/5.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/5.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/5.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/5.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 这个橙子呆了这么久,跟我们都有感情了。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
neutral
[]
[ "chsimsv2_dataset/train/aqgy5_0034/6.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/6.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/6.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/6.pt" ]
sentiment_cls
neutral
<video> <audio> 我总觉得有私房钱藏到角落里了。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0034/8.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/8.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/8.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/8.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 已经习惯这种哭笑不得的感觉了,以后散了,再也没有了。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/9.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/9.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/9.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/9.pt" ]
sentiment_cls
strongly_negative
<video> <audio> 这里的房子很暖,景色很美,失去时才发现它的珍贵。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/10.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/10.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/10.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/10.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 没想到离别来的如此措不急防。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/11.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/11.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/11.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/11.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 我能通过考试多亏了大家,本来我都想放弃了。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/12.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/12.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/12.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/12.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 就算明天是世界末日,我们得披上战袍,去跳,去跑。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0034/14.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/14.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/14.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/14.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 开不开心我们自己说了算,你给我振作点,别让我瞧不起你! Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0034/15.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/15.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/15.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/15.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 我和曾小贤决定,在爱情公寓择日举办婚礼。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0034/16.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0034/16.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0034/16.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0034/16.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 今天我们齐聚一堂,共同见证两位新人的甜蜜时刻。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/0.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/0.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/0.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/0.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 等一下。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
neutral
[]
[ "chsimsv2_dataset/train/aqgy5_0036/1.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/1.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/1.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/1.pt" ]
sentiment_cls
neutral
<video> <audio> 是不是我亲的不够好,我可以改进的。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/3.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/3.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/3.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/3.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 你不会是想逃婚吧? Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0036/4.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/4.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/4.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/4.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 我有种不好的预感。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0036/5.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/5.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/5.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/5.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 你着什么急啊,婚礼一会儿就开始了,你现在要做的就是好好休息养精蓄锐。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/9.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/9.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/9.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/9.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 今天是大喜的日子,咱们不谈离别。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/10.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/10.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/10.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/10.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 你的幸福来了! Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/11.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/11.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/11.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/11.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 只要你认错态度够好,就算你什么错都没犯,我还是会原谅你的。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
neutral
[]
[ "chsimsv2_dataset/train/aqgy5_0036/12.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/12.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/12.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/12.pt" ]
sentiment_cls
neutral
<video> <audio> 婚礼马上就要开始了,内心有点儿小兴奋外加小躁动。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
neutral
[]
[ "chsimsv2_dataset/train/aqgy5_0036/13.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/13.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/13.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/13.pt" ]
sentiment_cls
neutral
<video> <audio> 有点用啊,第一句我好像记住了。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/14.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/14.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/14.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/14.pt" ]
sentiment_cls
strongly_positive
<video> <audio> 我们都找到了自己人生的目标。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
neutral
[]
[ "chsimsv2_dataset/train/aqgy5_0036/16.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/16.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/16.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/16.pt" ]
sentiment_cls
neutral
<video> <audio> 子乔只用两场派对就把你变成负资产。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0036/17.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/17.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/17.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/17.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 要不我们去花坛找些花花草草先做个捧花应急。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0036/18.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/18.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/18.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/18.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 你还有没有公德心啊,再说谁会拿着绿化带结婚啊? Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
highly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0036/19.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/19.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/19.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/19.pt" ]
sentiment_cls
strongly_negative
<video> <audio> 是不是觉得高手在民间? Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/20.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/20.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/20.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/20.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 要不我们把胡老师的捧花换给美佳姐用,用两次环保低碳。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/21.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/21.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/21.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/21.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 江湖规矩,说一是一,就算对方是自己老公也决不能徇私。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly negative
[]
[ "chsimsv2_dataset/train/aqgy5_0036/22.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/22.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/22.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/22.pt" ]
sentiment_cls
weakly_negative
<video> <audio> 我希望很多年以后回忆起这段日子我可以说,这辈子足够了。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/24.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/24.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/24.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/24.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 我的期待值可是很高的哟! Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/25.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/25.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/25.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/25.pt" ]
sentiment_cls
weakly_positive
<video> <audio> 再见爱情公寓。 Given the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.
weakly positive
[]
[ "chsimsv2_dataset/train/aqgy5_0036/26.mp4" ]
[ "chsimsv2_dataset/train/aqgy5_0036/26.wav" ]
chsimsv2
[]
text_video_audio
[ "pose/chsimsv2_dataset/train/aqgy5_0036/26.pt" ]
[ "opensmile/chsimsv2_dataset/train/aqgy5_0036/26.pt" ]
sentiment_cls
weakly_positive
<video> <audio> also I was the point person on my company's transition from the KL-5 to GR-6 system. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt0.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt0.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt0.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt0.pt" ]
emotion_cls
neutral
<video> <audio> You must've had your hands full. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt1.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt1.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt1.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt1.pt" ]
emotion_cls
neutral
<video> <audio> That I did. That I did. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt2.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt2.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt2.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt2.pt" ]
emotion_cls
neutral
<video> <audio> So let's talk a little bit about your duties. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt3.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt3.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt3.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt3.pt" ]
emotion_cls
neutral
<video> <audio> My duties? All right. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
surprise
[]
[ "meld_dataset/train/train_splits/dia0_utt4.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt4.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt4.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt4.pt" ]
emotion_cls
surprise
<video> <audio> Now you'll be heading a whole division, so you'll have a lot of duties. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt5.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt5.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt5.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt5.pt" ]
emotion_cls
neutral
<video> <audio> I see. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt6.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt6.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt6.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt6.pt" ]
emotion_cls
neutral
<video> <audio> But there'll be perhaps 30 people under you so you can dump a certain amount on them. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt7.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt7.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt7.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt7.pt" ]
emotion_cls
neutral
<video> <audio> Good to know. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt8.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt8.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt8.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt8.pt" ]
emotion_cls
neutral
<video> <audio> We can go into detail How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt9.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt9.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt9.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt9.pt" ]
emotion_cls
neutral
<video> <audio> No don't I beg of you! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
fear
[]
[ "meld_dataset/train/train_splits/dia0_utt10.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt10.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt10.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt10.pt" ]
emotion_cls
fear
<video> <audio> All right then, we'll have a definite answer for you on Monday, but I think I can say with some confidence, you'll fit in well here. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral,...
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt11.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt11.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt11.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt11.pt" ]
emotion_cls
neutral
<video> <audio> Absolutely. You can relax How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia0_utt13.mp4" ]
[ "meld_dataset/train/train_splits/dia0_utt13.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia0_utt13.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia0_utt13.pt" ]
emotion_cls
neutral
<video> <audio> But then who? The waitress I went out with last month? How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
surprise
[]
[ "meld_dataset/train/train_splits/dia1_utt0.mp4" ]
[ "meld_dataset/train/train_splits/dia1_utt0.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia1_utt0.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia1_utt0.pt" ]
emotion_cls
surprise
<video> <audio> You know? Forget it! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
sad
[]
[ "meld_dataset/train/train_splits/dia1_utt1.mp4" ]
[ "meld_dataset/train/train_splits/dia1_utt1.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia1_utt1.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia1_utt1.pt" ]
emotion_cls
sadness
<video> <audio> No-no-no-no, no! Who, who were you talking about? How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
surprise
[]
[ "meld_dataset/train/train_splits/dia1_utt2.mp4" ]
[ "meld_dataset/train/train_splits/dia1_utt2.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia1_utt2.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia1_utt2.pt" ]
emotion_cls
surprise
<video> <audio> No, I-I-I-I don't, I actually don't know How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
fear
[]
[ "meld_dataset/train/train_splits/dia1_utt3.mp4" ]
[ "meld_dataset/train/train_splits/dia1_utt3.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia1_utt3.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia1_utt3.pt" ]
emotion_cls
fear
<video> <audio> Ok! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia1_utt4.mp4" ]
[ "meld_dataset/train/train_splits/dia1_utt4.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia1_utt4.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia1_utt4.pt" ]
emotion_cls
neutral
<video> <audio> All right, well... How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia1_utt5.mp4" ]
[ "meld_dataset/train/train_splits/dia1_utt5.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia1_utt5.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia1_utt5.pt" ]
emotion_cls
neutral
<video> <audio> Yeah, sure! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia1_utt8.mp4" ]
[ "meld_dataset/train/train_splits/dia1_utt8.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia1_utt8.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia1_utt8.pt" ]
emotion_cls
neutral
<video> <audio> Hey, Mon. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia2_utt0.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt0.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt0.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt0.pt" ]
emotion_cls
neutral
<video> <audio> Hey-hey-hey. You wanna hear something that sucks. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia2_utt1.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt1.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt1.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt1.pt" ]
emotion_cls
neutral
<video> <audio> Do I ever. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
happy
[]
[ "meld_dataset/train/train_splits/dia2_utt2.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt2.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt2.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt2.pt" ]
emotion_cls
joy
<video> <audio> Chris says they're closing down the bar. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
sad
[]
[ "meld_dataset/train/train_splits/dia2_utt3.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt3.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt3.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt3.pt" ]
emotion_cls
sadness
<video> <audio> No way! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
surprise
[]
[ "meld_dataset/train/train_splits/dia2_utt4.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt4.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt4.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt4.pt" ]
emotion_cls
surprise
<video> <audio> Yeah, apparently they're turning it into some kinda coffee place. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia2_utt5.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt5.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt5.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt5.pt" ]
emotion_cls
neutral
<video> <audio> Just coffee! Where are we gonna hang out now? How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
disgust
[]
[ "meld_dataset/train/train_splits/dia2_utt6.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt6.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt6.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt6.pt" ]
emotion_cls
disgust
<video> <audio> Got me. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
sad
[]
[ "meld_dataset/train/train_splits/dia2_utt7.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt7.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt7.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt7.pt" ]
emotion_cls
sadness
<video> <audio> Can I get a beer. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia2_utt8.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt8.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt8.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt8.pt" ]
emotion_cls
neutral
<video> <audio> Hey, did you pick a roommate? How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia2_utt9.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt9.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt9.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt9.pt" ]
emotion_cls
neutral
<video> <audio> You betcha! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
happy
[]
[ "meld_dataset/train/train_splits/dia2_utt10.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt10.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt10.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt10.pt" ]
emotion_cls
joy
<video> <audio> Um-mm, yeah right! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
happy
[]
[ "meld_dataset/train/train_splits/dia2_utt12.mp4" ]
[ "meld_dataset/train/train_splits/dia2_utt12.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia2_utt12.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia2_utt12.pt" ]
emotion_cls
joy
<video> <audio> Oh my God, oh my God! Poor Monica! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
surprise
[]
[ "meld_dataset/train/train_splits/dia3_utt0.mp4" ]
[ "meld_dataset/train/train_splits/dia3_utt0.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia3_utt0.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia3_utt0.pt" ]
emotion_cls
surprise
<video> <audio> What, what, what?! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
surprise
[]
[ "meld_dataset/train/train_splits/dia3_utt1.mp4" ]
[ "meld_dataset/train/train_splits/dia3_utt1.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia3_utt1.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia3_utt1.pt" ]
emotion_cls
surprise
<video> <audio> He was with her when he wrote this poem. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia3_utt3.mp4" ]
[ "meld_dataset/train/train_splits/dia3_utt3.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia3_utt3.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia3_utt3.pt" ]
emotion_cls
neutral
<video> <audio> Look, 'My vessel so empty with nothing inside. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia3_utt4.mp4" ]
[ "meld_dataset/train/train_splits/dia3_utt4.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia3_utt4.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia3_utt4.pt" ]
emotion_cls
neutral
<video> <audio> Now that I've touched you, you seem emptier still.' How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia3_utt5.mp4" ]
[ "meld_dataset/train/train_splits/dia3_utt5.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia3_utt5.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia3_utt5.pt" ]
emotion_cls
neutral
<video> <audio> He thinks Monica is empty, she is the empty vase! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
surprise
[]
[ "meld_dataset/train/train_splits/dia3_utt6.mp4" ]
[ "meld_dataset/train/train_splits/dia3_utt6.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia3_utt6.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia3_utt6.pt" ]
emotion_cls
surprise
<video> <audio> Oh, totally. Oh, God, oh, she seemed so joy too. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
sad
[]
[ "meld_dataset/train/train_splits/dia3_utt8.mp4" ]
[ "meld_dataset/train/train_splits/dia3_utt8.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia3_utt8.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia3_utt8.pt" ]
emotion_cls
sadness
<video> <audio> Done. How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
neutral
[]
[ "meld_dataset/train/train_splits/dia3_utt9.mp4" ]
[ "meld_dataset/train/train_splits/dia3_utt9.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia3_utt9.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia3_utt9.pt" ]
emotion_cls
neutral
<video> <audio> Hey! How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
surprise
[]
[ "meld_dataset/train/train_splits/dia4_utt0.mp4" ]
[ "meld_dataset/train/train_splits/dia4_utt0.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia4_utt0.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia4_utt0.pt" ]
emotion_cls
surprise
<video> <audio> What are you doing here? How would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: anger, disgust, fear, happy, surprise, neutral, sad
surprise
[]
[ "meld_dataset/train/train_splits/dia4_utt2.mp4" ]
[ "meld_dataset/train/train_splits/dia4_utt2.wav" ]
meld_emotion
[]
text_video_audio
[ "pose/meld_dataset/train/train_splits/dia4_utt2.pt" ]
[ "opensmile/meld_dataset/train/train_splits/dia4_utt2.pt" ]
emotion_cls
surprise