Datasets:
File size: 2,976 Bytes
10d94c7 2863052 10d94c7 2863052 10d94c7 2863052 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 |
---
language:
- ku
- en
license: cc-by-4.0
size_categories:
- 10K<n<100K
task_categories:
- text-classification
- translation
pretty_name: Kurdish News Dataset Headlines (KNDH)
dataset_info:
features:
- name: label
dtype: string
- name: text
dtype: string
- name: text-english
dtype: string
- name: url
dtype: string
splits:
- name: train
num_bytes: 17100983
num_examples: 50000
download_size: 7349775
dataset_size: 17100983
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- kurdish
- translation
- news
---
# Dataset Card for Kurdish News Dataset Headlines (KNDH)
## Summary
Description from the paper: the Kurdish language belongs to the Indo-Iranian family of Indo-European languages. It is well-known to be a close relative to the Persian language. The speakers span the intersections of Iran, Turkey, Iraq, and Syria. The Kurdish language is one of the official languages in Iraq and has regional status in Iran. The language has 40 million speakers [2,11].
## Usage
```python
from datasets import load_dataset
ds = load_dataset("nazimali/kurdish-news-headlines-classification", split="train")
ds
```
Output:
```python
Dataset({
features: ['label', 'text', 'text-english', 'url'],
num_rows: 50000
})
```
## Data Cleaning
In the paper they describe the data process in detail. There are 2 versions of the original dataset, list of changes I made:
- Renamed the original column names so it's easier to read & process
- Merged the column `url` from version 1 and columns `label, text, text-english` from version 2
- Excluded 2 pre-processed text columns from version 2
## Dataset Sources
- **Paper [Kurdish News Dataset Headlines (KNDH) through Multiclass Classification](https://data.mendeley.com/datasets/kb7vvkg2th/2)**
## Dataset Structure
- 50,000 rows
- 5 unique labels
- `sport, health, science & technology, social, economic`
- Each label contains 10,000 rows
| | label | text | text-english | url |
|:-------|:--------|:-------------------|:----------------|:------------------------------------------------------------------------|
| count | 50000 | 50000 | 50000 | 48832 |
| unique | 5 | 41912 | 41008 | 43891 |
## Citation
- **Version 1:**
```
Badawi, Soran;
Mohammed, ARI (2022),
"Kurdish News Dataset Headlines (KNDH) through Multiclass Classification",
Mendeley Data,
V1,
doi: 10.17632/kb7vvkg2th.1
```
- **Version 2:**
```
Badawi, Soran;
Mohammed, ARI (2023),
"Kurdish News Dataset Headlines (KNDH) through Multiclass Classification",
Mendeley Data,
V2,
doi: 10.17632/kb7vvkg2th.2
``` |