README.md

metadata

task_categories:
  - token-classification
language:
  - km

KHEED Dataset Card

Task Categories

• Token Classification

Language

• Khmer (km)

Overview

The Khmer Health Event Extraction Dataset (KHEED) is a specialized resource for named entity recognition (NER) in the Khmer language, focusing on the health domain. Sourced from Khmer news websites, the dataset includes eight entity types:

1. Disease (DIS): Health conditions or illnesses.
2. Location (LOC): Geographical places.
3. Organization (ORG): Institutions or groups.
4. HumanCount (HUM): Numerical references to people.
5. Pathogen (PAT): Disease-causing agents.
6. Date (DAT): Temporal references.
7. Symptom (SYM): Clinical manifestations of diseases.
8. Medication (MED): Drugs or treatments.

Note: The dataset may contain mislabeled data due to human error. Entity boundaries may also be imprecise due to limited linguistic expertise, and the tagset could benefit from further refinement or expansion.

Dataset Structure

All dataset splits include the following fields:

• tokens: A list of string tokens.
• ner_tags: A list of integer classification labels corresponding to entity tags.

Complete Tagset

The complete tagset with indices is as follows:

{
  "O": 0,
  "B-DAT": 1,
  "I-DAT": 2,
  "B-DIS": 3,
  "I-DIS": 4,
  "B-HUM": 5,
  "I-HUM": 6,
  "B-LOC": 7,
  "I-LOC": 8,
  "B-MED": 9,
  "I-MED": 10,
  "B-ORG": 11,
  "I-ORG": 12,
  "B-PAT": 13,
  "I-PAT": 14,
  "B-SYM": 15,
  "I-SYM": 16
}