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---
language:
- ur
size_categories:
- 100K<n<1M
task_categories:
- text-classification
- text-generation
- text2text-generation
pretty_name: Instruct News Category Classification Urdu
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: template_id
dtype: int64
- name: template_lang
sequence: string
splits:
- name: train
num_bytes: 261557910
num_examples: 100674
- name: test
num_bytes: 29048190
num_examples: 11187
download_size: 116629288
dataset_size: 290606100
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "Urdu-Instruct-News-Category-Classification"
This Dataset is converted from the [original dataset](https://data.mendeley.com/datasets/834vsxnb99/3) by Khalid Hussain, Nimra Mughal, Irfan Ali, Saif Hassan, Sher Muhammad Daudpota.
## Task:
Generate the News Paragraph, and classify the news category from it.
## Split Size:
- train: 100674
- test: 11187
## Prompt Template (In Urdu):
Random.choice b.w these 2. The first template is **template_id** 1 in the dataset, second template is **template_id** 2 in the dataset.
```
["""اس پیراگراف (خبروں) کو مندرجہ ذیل درجوں (کیٹگریز) میں سے ایک کیٹگری میں ڈالیں.
درجے:
- کھیل
- تفریح،
- کاروبار و معیشت،
- سائنس اور ٹیکنالوجی
پیراگراف: {}""",
"""دیے گی خبروں کو ایک لفظ یا درجہ (کیٹگری) میں بیان کریں.
درجے:
- کھیل
- تفریح،
- کاروبار و معیشت،
- سائنس اور ٹیکنالوجی
جملے: {}"""]
```
<b>Translation</b>:
```
[Classify the given paragraph (news article) into one of the following categories:
1. Sports
2. Entertainment
3. Business & Economics
4. Science & Technology
paragraph: {},
Classify the given news paragraph into one of the following categories:
1. Sports
2. Entertainment
3. Business & Economics
4. Science & Technology
sentences: {}]
```
## Completion Template (In Urdu)
```
یہ دی گی خبریں {} سے تعلق رکھتی ہیں
```
<b>Translation</b>:
```
The given news belong to the {category}
```