README.md

---
dataset_info:
  features:
  - name: user
    dtype: string
  - name: label
    dtype: string
  - name: timestamp
    dtype: string
  - name: source
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  - name: subreddit
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  - name: text
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  - name: parent_id_original
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  - name: parent_text
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  - name: Language_instance
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  - name: Language_variety
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  - name: Age
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  - name: Sex
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  - name: Ethnicity simplified
    dtype: string
  - name: Country of birth
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  - name: Country of residence
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  - name: Nationality
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  - name: Language_annotator
    dtype: string
  - name: Student status
    dtype: string
  - name: Employment status
    dtype: string
  splits:
  - name: train
    num_bytes: 7299373
    num_examples: 14172
  download_size: 1038853
  dataset_size: 7299373
---
# EPIC_Irony

- paper: [EPIC: Multi-Perspective Annotation of a Corpus of Irony](https://assets.amazon.science/40/b4/0f6ec06a4a33a44485de1b2b57c7/epic-multi-perspective-annotation-of-a-corpus-of-irony.pdf) at ACL 2023

Key features:

- EPIC (English Perspectivist Irony Corpus) is an annotated corpus for irony analysis based on data perspectivism principles.
- The corpus contains social media conversations in five regional varieties of English, annotated by contributors from corresponding countries.
- The dataset explores the perspectives of annotators, taking into account their origin, age, and gender.
- Perspective-aware models were created to validate EPIC, and these proved more effective and confident in identifying irony than non-perspectivist models.
- The models showcase variation in irony perception across different demographic groups.
- EPIC serves as a valuable resource for training perspective-aware models for irony detection.

Metadata in Creative Language Toolkit ([CLTK](https://github.com/liyucheng09/cltk))
- CL Type: Irony
- Task Type: detection
- Size: 14k
- Created time: 2023