---
dataset_info:
  features:
  - name: pair
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 18442362
    num_examples: 16205
  - name: test
    num_bytes: 4165369
    num_examples: 3717
  - name: val
    num_bytes: 531051
    num_examples: 778
  download_size: 2063012
  dataset_size: 23138782
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: val
    path: data/val-*
license: apache-2.0
task_categories:
- text-classification
- token-classification
language:
- ar
---
# AraEventCoref

AraEventCoref is an Arabic event coreference dataset comprising 50 annotated news articles with 12,069 tokens, 1,381 events, and 159 coreference chains. Target events are surrounded by position-aware markers <<حدث>> before and after each event. The label 1 indicates a coreference, while 0 indicates no coreference. The dataset features high annotation reliability with a CoNLL score of 75.8% and an inter-annotator agreement of 96% for event triggers.




- **Curated by:** Dr. Mohammed Aldawsari
- **Language(s) (NLP):** Arabic


### Source Data

SANAD dataset


## Dataset Card Contact

mohammed.aldawsari@psau.edu.sa