|
--- |
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annotations_creators: |
|
- expert-generated |
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language_creators: |
|
- found |
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language: |
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- en |
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- fi |
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license: |
|
- cc-by-4.0 |
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multilinguality: |
|
- multilingual |
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size_categories: |
|
- 10K<n<100K |
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- 1K<n<10K |
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source_datasets: |
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- extended|other-OpenSubtitles2016 |
|
task_categories: |
|
- text-classification |
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task_ids: |
|
- intent-classification |
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- multi-class-classification |
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- multi-label-classification |
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- sentiment-classification |
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paperswithcode_id: xed |
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pretty_name: XedEnglishFinnish |
|
dataset_info: |
|
- config_name: en_annotated |
|
features: |
|
- name: sentence |
|
dtype: string |
|
- name: labels |
|
sequence: |
|
class_label: |
|
names: |
|
'0': neutral |
|
'1': anger |
|
'2': anticipation |
|
'3': disgust |
|
'4': fear |
|
'5': joy |
|
'6': sadness |
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'7': surprise |
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'8': trust |
|
splits: |
|
- name: train |
|
num_bytes: 1018485 |
|
num_examples: 17528 |
|
download_size: 2421235 |
|
dataset_size: 1018485 |
|
- config_name: en_neutral |
|
features: |
|
- name: sentence |
|
dtype: string |
|
- name: labels |
|
dtype: |
|
class_label: |
|
names: |
|
'0': neutral |
|
'1': anger |
|
'2': anticipation |
|
'3': disgust |
|
'4': fear |
|
'5': joy |
|
'6': sadness |
|
'7': surprise |
|
'8': trust |
|
splits: |
|
- name: train |
|
num_bytes: 401129 |
|
num_examples: 9675 |
|
download_size: 2421235 |
|
dataset_size: 401129 |
|
- config_name: fi_annotated |
|
features: |
|
- name: sentence |
|
dtype: string |
|
- name: labels |
|
sequence: |
|
class_label: |
|
names: |
|
'0': neutral |
|
'1': anger |
|
'2': anticipation |
|
'3': disgust |
|
'4': fear |
|
'5': joy |
|
'6': sadness |
|
'7': surprise |
|
'8': trust |
|
splits: |
|
- name: train |
|
num_bytes: 756224 |
|
num_examples: 14449 |
|
download_size: 2421235 |
|
dataset_size: 756224 |
|
- config_name: fi_neutral |
|
features: |
|
- name: sentence |
|
dtype: string |
|
- name: labels |
|
dtype: |
|
class_label: |
|
names: |
|
'0': neutral |
|
'1': anger |
|
'2': anticipation |
|
'3': disgust |
|
'4': fear |
|
'5': joy |
|
'6': sadness |
|
'7': surprise |
|
'8': trust |
|
splits: |
|
- name: train |
|
num_bytes: 427499 |
|
num_examples: 10794 |
|
download_size: 2421235 |
|
dataset_size: 427499 |
|
config_names: |
|
- en_annotated |
|
- en_neutral |
|
- fi_annotated |
|
- fi_neutral |
|
--- |
|
|
|
# Dataset Card for xed_english_finnish |
|
|
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** |
|
- **Repository:** [Github](https://github.com/Helsinki-NLP/XED) |
|
- **Paper:** [Arxiv](https://arxiv.org/abs/2011.01612) |
|
- **Leaderboard:** |
|
- **Point of Contact:** |
|
|
|
### 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. |
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For the Finnish data, we replaced names and locations using the Turku NER corpus (Luoma et al., 2020). |
|
|
|
### Supported Tasks and Leaderboards |
|
|
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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." |
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"labels": [1, 6] # anger, sadness |
|
} |
|
``` |
|
|
|
### Data Fields |
|
|
|
- sentence: a line from the dataset |
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- 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](https://github.com/lhoestq), [@harshalmittal4](https://github.com/harshalmittal4) for adding this dataset. |
