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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
<audio>
Say the word goal.
goal
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_goal_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_goal_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_goal_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word wheat.
wheat
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_wheat_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_wheat_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_wheat_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word soap.
soap
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_soap_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_soap_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_soap_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word sale.
sail
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_sail_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_sail_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_sail_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word back.
back
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_back_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_back_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_back_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word page.
page
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_page_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_page_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_page_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word live.
live
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_live_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_live_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_live_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word phone.
phone
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_phone_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_phone_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_phone_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word talk.
talk
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_talk_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_talk_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_talk_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word jug.
jug
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_jug_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_jug_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_jug_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word bite
bite
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_bite_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_bite_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_bite_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word weak.
week
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_week_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_week_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_week_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word check.
check
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_check_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_check_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_check_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word pool.
pool
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_pool_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_pool_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_pool_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word tip.
tip
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_tip_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_tip_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_tip_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word lose.
lose
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_lose_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_lose_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_lose_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word soup.
soup
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_soup_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_soup_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_soup_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word germ.
germ
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_germ_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_germ_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_germ_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word kite.
kite
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_kite_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_kite_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_kite_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word match.
match
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_match_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_match_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_match_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word size.
size
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_size_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_size_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_size_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word, sure.
sure
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_sure_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_sure_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_sure_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word read.
read
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_read_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_read_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_read_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word pad.
pad
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_pad_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_pad_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_pad_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word chalk.
chalk
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_chalk_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_chalk_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_chalk_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word deep.
deep
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_deep_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_deep_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_deep_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word wire.
wire
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_wire_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_wire_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_wire_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word fall.
fall
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_fall_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_fall_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_fall_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word goose.
goose
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_goose_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_goose_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_goose_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word dab.
dab
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_dab_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_dab_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_dab_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word you're.
yearn
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_yearn_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_yearn_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_yearn_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word mess.
mess
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_mess_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_mess_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_mess_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word five.
five
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_five_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_five_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_five_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word whole.
hole
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_hole_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_hole_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_hole_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word get.
get
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_get_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_get_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_get_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word home.
home
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_home_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_home_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_home_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word witch.
witch
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_witch_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_witch_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_witch_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word late.
late
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_late_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_late_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_late_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word gun
gun
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_gun_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_gun_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_gun_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word walk.
walk
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_walk_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_walk_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_walk_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word tool.
tool
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_tool_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_tool_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_tool_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word rain.
rain
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_rain_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_rain_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_rain_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word shirt.
shirt
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_shirt_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_shirt_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_shirt_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word good
good
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_good_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_good_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_good_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word date.
date
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_date_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_date_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_date_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word love.
love
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_love_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_love_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_love_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word far
far
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_far_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_far_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_far_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word cool.
cool
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_cool_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_cool_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_cool_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word learn.
learn
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_learn_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_learn_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_learn_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word right.
ripe
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_ripe_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_ripe_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_ripe_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word came.
came
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_came_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_came_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_came_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word wash.
wash
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_wash_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_wash_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_wash_disgust.pt"
] | emotion_cls | disgust |
<audio>
say the word long.
long
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_long_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_long_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_long_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word thought.
thought
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_thought_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_thought_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_thought_disgust.pt"
] | emotion_cls | disgust |
<audio>
Say the word lore.
lore
Above is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; | disgust | [] | [] | [
"tess_dataset/OAF_disgust/OAF_lore_disgust.wav"
] | tess | [] | text_audio | [
"pose/tess_dataset/OAF_disgust/OAF_lore_disgust.pt"
] | [
"opensmile/tess_dataset/OAF_disgust/OAF_lore_disgust.pt"
] | emotion_cls | disgust |
<video>
<audio>
我不想嫁给李茶
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/video_0001/1.mp4"
] | [
"chsimsv2_dataset/train/video_0001/1.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/1.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/1.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
你这是嫁入豪门啊！
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 positive | [] | [
"chsimsv2_dataset/train/video_0001/2.mp4"
] | [
"chsimsv2_dataset/train/video_0001/2.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/2.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/2.pt"
] | sentiment_cls | strongly_positive |
<video>
<audio>
有那么明显吗？
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. | highly negative | [] | [
"chsimsv2_dataset/train/video_0001/4.mp4"
] | [
"chsimsv2_dataset/train/video_0001/4.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/4.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/4.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
我在这消费这么多钱，我低血糖吃块糖还不行了
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/video_0001/5.mp4"
] | [
"chsimsv2_dataset/train/video_0001/5.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/5.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/5.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
我刚才信号不好，现在可以了，怎么样，妈，公司给我安排的海景别墅楼。
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/video_0001/7.mp4"
] | [
"chsimsv2_dataset/train/video_0001/7.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/7.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/7.pt"
] | sentiment_cls | strongly_positive |
<video>
<audio>
我刚才是一害怕我就跟王安迪撒了个谎
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/video_0001/8.mp4"
] | [
"chsimsv2_dataset/train/video_0001/8.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/8.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/8.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
经理经理，别忘了我那五十万和副科长。
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/video_0001/10.mp4"
] | [
"chsimsv2_dataset/train/video_0001/10.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/10.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/10.pt"
] | sentiment_cls | strongly_positive |
<video>
<audio>
友德读懂了您对我的暗示。
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/video_0001/11.mp4"
] | [
"chsimsv2_dataset/train/video_0001/11.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/11.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/11.pt"
] | sentiment_cls | strongly_positive |
<video>
<audio>
有人假扮我，我要把事情弄清楚。
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/video_0001/13.mp4"
] | [
"chsimsv2_dataset/train/video_0001/13.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/13.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/13.pt"
] | sentiment_cls | neutral |
<video>
<audio>
觉得委屈你就走呗。
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/video_0001/14.mp4"
] | [
"chsimsv2_dataset/train/video_0001/14.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/14.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/14.pt"
] | sentiment_cls | weakly_negative |
<video>
<audio>
我实话跟你说吧，我们家破产了。
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/video_0001/15.mp4"
] | [
"chsimsv2_dataset/train/video_0001/15.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/15.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/15.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
我爸想自杀骗保，追求莫妮卡是我爸活下去的唯一希望
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/video_0001/16.mp4"
] | [
"chsimsv2_dataset/train/video_0001/16.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/16.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/16.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
哦，对对对，她身份很特别，不想让我张扬出去。
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/video_0001/18.mp4"
] | [
"chsimsv2_dataset/train/video_0001/18.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/18.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/18.pt"
] | sentiment_cls | strongly_positive |
<video>
<audio>
我说就算你给我一个亿我都不乐意，我就想在大渣集团干到断气
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/video_0001/19.mp4"
] | [
"chsimsv2_dataset/train/video_0001/19.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/19.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/19.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
我的话不好使吗？
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. | highly negative | [] | [
"chsimsv2_dataset/train/video_0001/20.mp4"
] | [
"chsimsv2_dataset/train/video_0001/20.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/20.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/20.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
这样吧，你自己说说，咱们集团什么职位比较轻松啊！
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. | weakly negative | [] | [
"chsimsv2_dataset/train/video_0001/24.mp4"
] | [
"chsimsv2_dataset/train/video_0001/24.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/24.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/24.pt"
] | sentiment_cls | weakly_negative |
<video>
<audio>
我们想找你聊聊。
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/video_0001/25.mp4"
] | [
"chsimsv2_dataset/train/video_0001/25.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/25.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/25.pt"
] | sentiment_cls | weakly_negative |
<video>
<audio>
你觉得他该怎么办啊
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. | weakly negative | [] | [
"chsimsv2_dataset/train/video_0001/26.mp4"
] | [
"chsimsv2_dataset/train/video_0001/26.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/26.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/26.pt"
] | sentiment_cls | weakly_negative |
<video>
<audio>
在他们眼里，莫妮卡根本就不是一个人，而是一堆钞票。
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/video_0001/29.mp4"
] | [
"chsimsv2_dataset/train/video_0001/29.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/29.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/29.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
大渣集团的小职员？
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/video_0001/30.mp4"
] | [
"chsimsv2_dataset/train/video_0001/30.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/30.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/30.pt"
] | sentiment_cls | weakly_positive |
<video>
<audio>
明天我在，后天就不一定了。
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/video_0001/34.mp4"
] | [
"chsimsv2_dataset/train/video_0001/34.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/34.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/34.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
我根本就不想嫁给你。
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. | highly negative | [] | [
"chsimsv2_dataset/train/video_0001/35.mp4"
] | [
"chsimsv2_dataset/train/video_0001/35.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0001/35.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0001/35.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
也不知道是贵球队的哪位领导，在茫茫人海中一眼就叨中了我这只老妖精
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/video_0002/1.mp4"
] | [
"chsimsv2_dataset/train/video_0002/1.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/1.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/1.pt"
] | sentiment_cls | weakly_positive |
<video>
<audio>
这菜还没凉，要不吃点？
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. | neutral | [] | [
"chsimsv2_dataset/train/video_0002/2.mp4"
] | [
"chsimsv2_dataset/train/video_0002/2.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/2.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/2.pt"
] | sentiment_cls | neutral |
<video>
<audio>
你们就一个球都别想进
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/video_0002/5.mp4"
] | [
"chsimsv2_dataset/train/video_0002/5.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/5.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/5.pt"
] | sentiment_cls | neutral |
<video>
<audio>
别听他颠倒黑白啊，我们就是故意的
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. | highly negative | [] | [
"chsimsv2_dataset/train/video_0002/11.mp4"
] | [
"chsimsv2_dataset/train/video_0002/11.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/11.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/11.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
你要非要感谢，那你把我签了也行。
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/video_0002/12.mp4"
] | [
"chsimsv2_dataset/train/video_0002/12.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/12.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/12.pt"
] | sentiment_cls | weakly_positive |
<video>
<audio>
知不知道你爷爷其实有一个弟弟。
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/video_0002/13.mp4"
] | [
"chsimsv2_dataset/train/video_0002/13.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/13.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/13.pt"
] | sentiment_cls | neutral |
<video>
<audio>
哎，先别太激动。
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. | weakly negative | [] | [
"chsimsv2_dataset/train/video_0002/14.mp4"
] | [
"chsimsv2_dataset/train/video_0002/14.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/14.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/14.pt"
] | sentiment_cls | weakly_negative |
<video>
<audio>
王多鱼，我是你二爷。
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/video_0002/15.mp4"
] | [
"chsimsv2_dataset/train/video_0002/15.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/15.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/15.pt"
] | sentiment_cls | weakly_negative |
<video>
<audio>
当我知道你是我唯一继承人的时候，我他妈差不多就直接哏屁了你这个孙子诶
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/video_0002/16.mp4"
] | [
"chsimsv2_dataset/train/video_0002/16.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/16.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/16.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
那将会由殷先生和赖先生的基金会打理。
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/video_0002/18.mp4"
] | [
"chsimsv2_dataset/train/video_0002/18.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/18.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/18.pt"
] | sentiment_cls | neutral |
<video>
<audio>
你那点财务还需要助理
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/video_0002/19.mp4"
] | [
"chsimsv2_dataset/train/video_0002/19.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/19.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/19.pt"
] | sentiment_cls | weakly_positive |
<video>
<audio>
我这是自家小球队，我也没有办法。
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/video_0002/21.mp4"
] | [
"chsimsv2_dataset/train/video_0002/21.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/21.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/21.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
但是要全包进来，一天起码也有十几万。
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/video_0002/22.mp4"
] | [
"chsimsv2_dataset/train/video_0002/22.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/22.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/22.pt"
] | sentiment_cls | weakly_negative |
<video>
<audio>
我工作以来从来没有算错过任何一笔账，我不会因为你而破例
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/video_0002/27.mp4"
] | [
"chsimsv2_dataset/train/video_0002/27.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/27.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/27.pt"
] | sentiment_cls | weakly_positive |
<video>
<audio>
王先生，你忘了我刚跟你说半年的事。
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/video_0002/30.mp4"
] | [
"chsimsv2_dataset/train/video_0002/30.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/30.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/30.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
我之前在法国专门选修过庭院设计，纯属爱好。
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. | highly positive | [] | [
"chsimsv2_dataset/train/video_0002/31.mp4"
] | [
"chsimsv2_dataset/train/video_0002/31.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/31.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/31.pt"
] | sentiment_cls | strongly_positive |
<video>
<audio>
我给你两分钟，你给我好好介绍一下，你怎么得的精神病
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/video_0002/35.mp4"
] | [
"chsimsv2_dataset/train/video_0002/35.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/35.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/35.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
王总您放心，我已经在最高点套现了，这次收益起码一个亿。
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/video_0002/36.mp4"
] | [
"chsimsv2_dataset/train/video_0002/36.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/36.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/36.pt"
] | sentiment_cls | strongly_positive |
<video>
<audio>
他变了，他竟然开始嫉妒我的才华。
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/video_0002/38.mp4"
] | [
"chsimsv2_dataset/train/video_0002/38.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0002/38.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0002/38.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
你看都这个样了，那什么时候才能见好啊！
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/video_0003/2.mp4"
] | [
"chsimsv2_dataset/train/video_0003/2.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0003/2.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0003/2.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
有你这样教育孩子的吗？
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. | highly negative | [] | [
"chsimsv2_dataset/train/video_0003/3.mp4"
] | [
"chsimsv2_dataset/train/video_0003/3.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0003/3.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0003/3.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
我真不想看电影了。
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/video_0003/4.mp4"
] | [
"chsimsv2_dataset/train/video_0003/4.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0003/4.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0003/4.pt"
] | sentiment_cls | strongly_negative |
<video>
<audio>
不耽误不耽误，这是应该的，您捐钱给我们建新校舍。
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/video_0004/1.mp4"
] | [
"chsimsv2_dataset/train/video_0004/1.wav"
] | chsimsv2 | [] | text_video_audio | [
"pose/chsimsv2_dataset/train/video_0004/1.pt"
] | [
"opensmile/chsimsv2_dataset/train/video_0004/1.pt"
] | sentiment_cls | weakly_positive |
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