video_id stringlengths 11 11 | reaction_dominant stringclasses 15
values | num_key_frames int32 15 176 | clip_description_embedding sequence | reaction_distribution sequence | movie_genre sequence | visual_feature array 2D | audio_acoustic_feature array 2D | audio_semantic_feature array 2D |
|---|---|---|---|---|---|---|---|---|
4nSkJZ3i2-g | admiration | 74 | [-0.8309987187385559,-0.49021902680397034,-0.8237026333808899,0.36257606744766235,0.4488085806369781(...TRUNCATED) | [0.07692307978868484,0.07692307978868484,0.0,0.07692307978868484,0.1538461595773697,0.07692307978868(...TRUNCATED) | [
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eiqBbLVXbQg | admiration | 76 | [-0.8236641883850098,-0.6108938455581665,-0.9418644309043884,0.565833568572998,0.7763930559158325,-0(...TRUNCATED) | [0.0,0.0,0.0,0.0,0.01923076994717121,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01923076994717121,0.0,0.0,0.0(...TRUNCATED) | [
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iKp5ARBBpyc | amusement | 46 | [-0.9042385816574097,-0.5465036630630493,-0.9231618642807007,0.7782965898513794,0.626711368560791,-0(...TRUNCATED) | [0.0,0.05000000074505806,0.0,0.0,0.10000000149011612,0.05000000074505806,0.0,0.0,0.0,0.0,0.050000000(...TRUNCATED) | [
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CD0k2oB61h0 | fear | 65 | [-0.9486648440361023,-0.5543593168258667,-0.8952944874763489,0.8305978775024414,0.7443825006484985,-(...TRUNCATED) | [
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V3Gnq8VFai4 | amusement | 133 | [-0.8274463415145874,-0.5256114602088928,-0.9309720396995544,0.489827036857605,0.7598407864570618,-0(...TRUNCATED) | [0.0,0.0,0.0,0.0,0.03999999910593033,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0399999991059(...TRUNCATED) | [
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ruCFlIoCpJ8 | amusement | 20 | [-0.7381772994995117,-0.49701061844825745,-0.7982360124588013,0.36728304624557495,0.2968255579471588(...TRUNCATED) | [0.0,0.02857142873108387,0.0,0.02857142873108387,0.08571428805589676,0.05714285746216774,0.0,0.0,0.0(...TRUNCATED) | [
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Lxfe0cKOx3g | admiration | 17 | [-0.7966986298561096,-0.46009179949760437,-0.7877506017684937,0.40366992354393005,0.526695728302002,(...TRUNCATED) | [0.0810810774564743,0.0,0.0,0.0,0.054054055362939835,0.13513512909412384,0.0,0.0,0.0,0.0,0.027027027(...TRUNCATED) | [
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DPl05d5mi54 | admiration | 23 | [-0.8901052474975586,-0.6460093259811401,-0.9396037459373474,0.7877309322357178,0.5399060249328613,-(...TRUNCATED) | [0.02857142873108387,0.0,0.0,0.0,0.08571428805589676,0.05714285746216774,0.0,0.0,0.0,0.0,0.028571428(...TRUNCATED) | [
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402xHwQGVsE | amusement | 24 | [-0.737236499786377,-0.6705355644226074,-0.9765463471412659,0.6804418563842773,0.7636293172836304,-0(...TRUNCATED) | [0.0,0.0357142873108387,0.0,0.1071428582072258,0.0357142873108387,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.(...TRUNCATED) | [
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LWG3aFFhg8k | admiration | 66 | [-0.761228621006012,-0.4029173254966736,-0.42039042711257935,0.4942590594291687,0.36968326568603516,(...TRUNCATED) | [0.0,0.0,0.0,0.0,0.190476194024086,0.0476190485060215,0.0,0.0,0.0,0.0,0.1428571492433548,0.0,0.0,0.0(...TRUNCATED) | [
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End of preview. Expand in Data Studio
Video2Reaction
Data Structure
/data folder uploaded using
push_to_hubpython function. It is a duplicated version of the following content in hf autogenerated parquet file formatSame data of the original file format are uploaded to the root directory
{split}_vit_bert-base-uncased_clap_general_hubert_large.ptis a python dict that saves the torch tensor of the following latent features:- visual_feature
- audio_acoustic_feature
- audio_semantic_feature
- clip_description_embedding
- The first three features' first dim is the time dim and it is not a fixed size dim, and it can range from 16 to 176. In the parquet version to fit into huggingface auto generating system (to get croissant meta) we pad every feature's time dim to the max length (176)
{split}.jsonis the original meta file recording the video information
Code repo: https://github.com/wm-bit/video2reaction
REACTION_CLASSES
REACTION_CLASSES = ['sadness', 'disgust', 'grief', 'fear', 'disapproval', 'disappointment', 'embarrassment', 'nervousness', 'annoyance', 'anger', 'confusion', 'realization', 'caring', 'curiosity', 'relief', 'approval', 'surprise', 'excitement', 'amusement', 'admiration', 'joy']
- MOVIW_GENRES
MOVIW_GENRES = ['Music', 'Family', 'Crime', 'Thriller', 'Action', 'Western', 'Sci-Fi', 'Short', 'History', 'Adventure', 'Fantasy', 'Romance', 'Film-Noir', 'Biography', 'Comedy', 'Musical', 'War', 'Horror', 'Animation', 'Documentary', 'Sport', 'Mystery', 'Drama']
- SENTIMENT_2_FINER_GRAINED_MAPPING
SENTIMENT_2_FINER_GRAINED_MAPPING = {
"positive": ["amusement", "excitement", "joy", "love", "desire", "optimism", "caring", "pride", "admiration", "gratitude", "relief", "approval"],
"negative": ["fear", "nervousness", "remorse", "embarrassment", "disappointment", "sadness", "grief", "disgust", "anger", "annoyance", "disapproval"],
"ambiguous": ["realization", "surprise", "curiosity", "confusion"]
}
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