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- ---
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- license: mit
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- dataset_info:
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- features:
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- - name: TV Series
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- dtype: string
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- - name: Utterances
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- dtype: string
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- - name: dialog_ids
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- dtype: int64
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- - name: uttr_ids
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- dtype: int64
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- - name: seasons
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- dtype: int64
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- - name: episodes
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- dtype: int64
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- - name: start_times
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- dtype: string
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- - name: end_times
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- dtype: string
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- - name: sentiment
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- dtype: string
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- - name: emotion
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- dtype: string
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- - name: intensity
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- dtype: string
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- - name: emotion2
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- dtype: string
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- - name: intensity2
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- dtype: string
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- - name: emotion3
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- dtype: string
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- - name: intensity3
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- dtype: float64
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- splits:
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- - name: train
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- num_bytes: 2258603.7180396663
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- num_examples: 14011
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- - name: test
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- num_bytes: 968180.2819603337
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- num_examples: 6006
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- download_size: 1228924
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- dataset_size: 3226784.0
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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: test
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- path: data/test-*
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- ---
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-2.0
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+ dataset_info:
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+ features:
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+ - name: TV Series
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+ dtype: string
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+ - name: Utterances
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+ dtype: string
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+ - name: dialog_ids
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+ dtype: int64
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+ - name: uttr_ids
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+ dtype: int64
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+ - name: seasons
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+ dtype: int64
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+ - name: episodes
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+ dtype: int64
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+ - name: start_times
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+ dtype: string
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+ - name: end_times
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+ dtype: string
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+ - name: sentiment
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+ dtype: string
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+ - name: emotion
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+ dtype: string
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+ - name: intensity
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+ dtype: string
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+ - name: emotion2
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+ dtype: string
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+ - name: intensity2
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+ dtype: string
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+ - name: emotion3
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+ dtype: string
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+ - name: intensity3
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+ dtype: float64
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+ splits:
36
+ - name: train
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+ num_bytes: 2258603.7180396663
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+ num_examples: 14011
39
+ - name: test
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+ num_bytes: 968180.2819603337
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+ num_examples: 6006
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+ download_size: 1228924
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+ dataset_size: 3226784
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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: test
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+ path: data/test-*
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+ task_categories:
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+ - text-classification
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+ - text-generation
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+ language:
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+ - en
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+ pretty_name: >-
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+ MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue
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+ Dataset for Emotion Recognition and Sentiment Analysis in Conversations
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+ ---