metadata

dataset_info:
  features:
    - name: ID
      dtype: int64
    - name: text
      dtype: string
    - name: target
      dtype: string
    - name: stance
      dtype: string
    - name: stance:confidence
      dtype: float64
    - name: against_reason
      dtype: string
    - name: favor_reason
      dtype: string
    - name: none_reason
      dtype: string
    - name: sarcasm
      dtype: string
    - name: sarcasm:confidence
      dtype: float64
    - name: sentiment
      dtype: string
    - name: sentiment:confidence
      dtype: float64
    - name: datetime
      dtype: string
    - name: Date
      dtype: string
  splits:
    - name: train
      num_bytes: 1576667
      num_examples: 3502
  download_size: 688027
  dataset_size: 1576667
license: unknown
task_categories:
  - text-classification
language:
  - ar
pretty_name: Mawqif
size_categories:
  - 1K<n<10K
tags:
  - Stance Detection

Dataset Card for "Mawqif_Stance_Detection"

Paper:

Nora Saleh Alturayeif, Hamzah Abdullah Luqman, and Moataz Aly Kamaleldin Ahmed. 2022. Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection. In Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP), pages 174–184, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.