Omarrran/Kashmiri_News_Articles_Text_Dataset

Dataset Description

This dataset comprises a collection of Kashmiri News articles consolidated from various sources, initially presented in Excel and JSONL formats. It has been preprocessed to retain only the essential 'title' and 'body' columns, making it suitable for Kashmiri natural language processing (NLP) tasks such as text classification, summarization, or content analysis.

Data Fields

The dataset consists of the following fields:

• title: (string) The title of the article.
• body: (string) The main content or body of the article.

Data Instances

Both the Excel and JSONL files contain 1621 entries each, consolidating articles from the original sources. A typical entry looks like this:

{
  "title": "وزیر اعلیٰ عمر عبداللہ کرِ کشتواڑ کِس واڑوان علاقس دورٕ۔",
  "body": "وزیر اعلیٰ عمر عبداللہ گژھِ برٛسوارِ دۄہ کشتواڑ ضلعہٕ کِس واڈوانُک دورٕ ییٚتہِ سُہ نار لگنہٕ والٮ۪ن مُتٲثِریٖنَن سۭتۍ مِلِتھ۔
وزیر اعلیٰ سُنٛد عہدٕ سنبھالنہٕ پتہٕ آسہِ یہِ تٔمۍ سُنٛد کُنہِ جایہِ ہُنٛد گۄڈٕنیُک دورٕ۔
برٛسوارِ دۄہ صُبحٲے ‘ایکس’ پٮ۪ٹھ أکِس پوسٹَس منٛز ووٚن وزیر اعلیٰ زِ: "بہٕ کَرٕ آز کشتواڑ کِس ودوان علاقُک سفر تِمَن عیالَن سۭتۍ مِلنہٕ خٲطرٕ یِمَن ہٕنٛز زِنٛدگی حالٕے تباہ شدٕ نارٕ سۭتۍ تباہ گٔمٕژ چھِ۔”
عمر عبداللہ یَن کوٚر بۄدوارِ دۄہ شیر کشمیر انٹرنیشنل کانووکیشن سینٹرَس منٛز مُنعقد أکِس حلف برداری تقریٖبہِ منٛز مرکزی زیر انتظام علاقہٕ جموں و کشمیرُک گۄڈٕنیُک وزیر اعلیٰ سُنٛد حلف ۔
حُکامن ووٚن زِ جموں و کشمیر کِس کشتواڑ ضلعہٕ کِس مرواہ واڈوان علاقَس منٛز بۄموارِ دۄہ لگَن وٲلِس بٔڑِس نارَس منٛز گٔیہِ کم از کم 80 رِہٲیشی مکان"
}

Usage

You can load and use these datasets using the pandas library in Python. Below are examples for both the Excel and JSONL formats.

Loading the Merged Excel File

import pandas as pd

df_merged_excel = pd.read_excel('Kashmiri_News_Articles_Dataset.xlsx')
print(df_merged_excel.head())

Loading the Merged JSONL File

import pandas as pd

df_merged_jsonl = pd.read_json('Kashmiri_News_Articles_Dataset.jsonl', lines=True)
print(df_merged_jsonl.head())

Considerations for Using the Data

• Language: The articles are primarily in Kashmiri (Kashmiri language characters are present in titles and bodies), which may require specific NLP models or tokenizers.
• Preprocessing: The data has undergone initial cleaning (removal of metadata columns). Further task-specific preprocessing (e.g., tokenization, stemming, lemmatization, stop-word removal) might be necessary depending on your NLP application.

License

License: CC BY-NC-ND 4.0

Citation

@misc{Kashmiri_News_Articles_Text_Dataset,
  author = {Haq Nawaz Malik},
  title = {Kashmiri_News_Articles_Text_Dataset},
  year = {2026},
  publisher = {Hugging Face},
  url = {[ https://huggingface.co/datasets/Omarrran/Kashmiri_News_Articles_Text_Dataset]}
}

"""