Datasets:
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README.md
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### Data Instances
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```
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{
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"id_answer": "1413968453690658816",
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"original_text": "",
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"answer_text": "",
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"original_stance": "FAVOUR",
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"answer_stance": "AGAINST",
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"original_emotion": ["distrust", "joy", "disgust"],
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"answer_emotion": ["distrust"]
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```
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### Data Splits
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### Annotations
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Emotions are annotated in a multi-label fashion. The labels can be: Anger, Anticipation, Disgust, Fear, Joy, Sadness, Surprise, Distrust.
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#### Annotation process
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For emotions there were 3 annotators. The gold labels are an aggregation of all the labels annotated by the 3. The IAA calculated with Fleiss' Kappa per label was, on average, 45.38.
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For
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#### Who are the annotators?
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### Data Instances
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```
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{
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"id_original": "1413960970066710533",
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"id_answer": "1413968453690658816",
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"original_text": "",
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"answer_text": "",
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"original_stance": "FAVOUR",
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"answer_stance": "AGAINST",
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"original_emotion": ["distrust", "joy", "disgust"],
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"answer_emotion": ["distrust"]
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}
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```
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### Data Splits
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### Annotations
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- Emotions are annotated in a multi-label fashion. The labels can be: Anger, Anticipation, Disgust, Fear, Joy, Sadness, Surprise, Distrust.
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- Static stance is annotated per message. The labels can be: FAVOUR, AGAINST, NEUTRAL, NA.
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- Dynamic stance is annotated per pair. The labels can be: Agree, Disagree, Elaborate, Query, Neutral, Unrelated, NA.
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#### Annotation process
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- For emotions there were 3 annotators. The gold labels are an aggregation of all the labels annotated by the 3. The IAA calculated with Fleiss' Kappa per label was, on average, 45.38.
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- For static stance there were 2 annotators, in the cases of disagreement a third annotated chose the gold label. The overall Fleiss' Kappa between the 2 annotators is 82.71.
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- For dynamic stance there were 4 annotators. If at least 3 of the annotators disagreed, a fifth annotator chose the gold label. The overall Fleiss' Kappa between the 4 annotators was 56.51, and the average Fleiss' Kappa of the annotators with the gold labels is 85.17.
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#### Who are the annotators?
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