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Dataset Card for xed_english_finnish
Dataset Summary
This is the XED dataset. The dataset consists of emotion annotated movie subtitles from OPUS. We use Plutchik's 8 core emotions to annotate. The data is multilabel. The original annotations have been sourced for mainly English and Finnish. For the English data we used Stanford NER (named entity recognition) (Finkel et al., 2005) to replace names and locations with the tags: [PERSON] and [LOCATION] respectively. For the Finnish data, we replaced names and locations using the Turku NER corpus (Luoma et al., 2020).
Supported Tasks and Leaderboards
Sentiment Classification, Multilabel Classification, Multilabel Classification, Intent Classification
Languages
English, Finnish
Dataset Structure
Data Instances
{ "sentence": "A confession that you hired [PERSON] ... and are responsible for my father's murder."
"labels": [1, 6] # anger, sadness
}
Data Fields
- sentence: a line from the dataset
- labels: labels corresponding to the emotion as an integer
Where the number indicates the emotion in ascending alphabetical order: anger:1, anticipation:2, disgust:3, fear:4, joy:5, sadness:6, surprise:7, trust:8, with neutral:0 where applicable.
Data Splits
For English: Number of unique data points: 17528 ('en_annotated' config) + 9675 ('en_neutral' config) Number of emotions: 8 (+neutral)
For Finnish: Number of unique data points: 14449 ('fi_annotated' config) + 10794 ('fi_neutral' config) Number of emotions: 8 (+neutral)
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
License: Creative Commons Attribution 4.0 International License (CC-BY)
Citation Information
@inproceedings{ohman2020xed, title={XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection}, author={{"O}hman, Emily and P{`a}mies, Marc and Kajava, Kaisla and Tiedemann, J{"o}rg}, booktitle={The 28th International Conference on Computational Linguistics (COLING 2020)}, year={2020} }
Contributions
Thanks to @lhoestq, @harshalmittal4 for adding this dataset.
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