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--- |
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language: |
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- en |
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license: cc-by-nc-sa-4.0 |
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size_categories: |
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- 10B<n<100B |
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task_categories: |
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- other |
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pretty_name: ' Video2Reaction ' |
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tags: |
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- video |
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- audio |
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- text |
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dataset_info: |
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features: |
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- name: video_id |
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dtype: string |
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- name: reaction_dominant |
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dtype: string |
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- name: num_key_frames |
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dtype: int32 |
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- name: clip_description_embedding |
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sequence: float64 |
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length: 768 |
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- name: reaction_distribution |
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sequence: float64 |
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length: 21 |
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- name: movie_genre |
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sequence: float64 |
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length: 23 |
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- name: visual_feature |
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dtype: |
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array2_d: |
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shape: |
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- 176 |
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- 768 |
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dtype: float64 |
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- name: audio_acoustic_feature |
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dtype: |
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array2_d: |
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shape: |
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- 176 |
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- 1024 |
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dtype: float64 |
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- name: audio_semantic_feature |
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dtype: |
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array2_d: |
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shape: |
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- 176 |
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- 1024 |
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dtype: float64 |
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splits: |
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- name: train |
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num_bytes: 28780644620 |
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num_examples: 7243 |
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- name: val |
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num_bytes: 4112655972 |
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num_examples: 1035 |
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- name: test |
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num_bytes: 8225311923 |
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num_examples: 2070 |
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download_size: 8946422642 |
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dataset_size: 41118612515 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: val |
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path: data/val-* |
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- split: test |
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path: data/test-* |
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--- |
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# Video2Reaction |
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## Data Structure |
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* /data folder uploaded using `push_to_hub` python function. It is a duplicated version of the following content in hf autogenerated parquet file format |
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* Same data of the original file format are uploaded to the root directory |
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* `{split}_vit_bert-base-uncased_clap_general_hubert_large.pt` is a python dict that saves the torch tensor of the following latent features: |
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* visual_feature |
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* audio_acoustic_feature |
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* audio_semantic_feature |
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* clip_description_embedding |
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* 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) |
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* `{split}.json` is the original meta file recording the video information |
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* Code repo: https://github.com/wm-bit/video2reaction |
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* REACTION_CLASSES |
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```python |
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REACTION_CLASSES = ['sadness', 'disgust', 'grief', 'fear', 'disapproval', 'disappointment', 'embarrassment', 'nervousness', 'annoyance', 'anger', 'confusion', 'realization', 'caring', 'curiosity', 'relief', 'approval', 'surprise', 'excitement', 'amusement', 'admiration', 'joy'] |
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``` |
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* MOVIW_GENRES |
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```python |
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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'] |
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``` |
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* SENTIMENT_2_FINER_GRAINED_MAPPING |
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```python |
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SENTIMENT_2_FINER_GRAINED_MAPPING = { |
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"positive": ["amusement", "excitement", "joy", "love", "desire", "optimism", "caring", "pride", "admiration", "gratitude", "relief", "approval"], |
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"negative": ["fear", "nervousness", "remorse", "embarrassment", "disappointment", "sadness", "grief", "disgust", "anger", "annoyance", "disapproval"], |
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"ambiguous": ["realization", "surprise", "curiosity", "confusion"] |
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} |
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``` |
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