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@@ -75,5 +75,14 @@ configs:
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  # Video2Reaction
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  ## Data Structure
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- * /data folder uploaded using `push_to_hub` python function
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- * Same files of the original format are uploaded to the root directory
 
 
 
 
 
 
 
 
 
 
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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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+
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+ `