Datasets:
File size: 1,240 Bytes
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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 |