This a summary dataset. You can train abstractive summarization model using this dataset. It contains 3 files i.e. train, test and val. Data is in jsonl format.

Every line has these keys.

id
url
title
summary
text

You can easily read the data with pandas

import pandas as pd
test = pd.read_json("summary/urdu_test.jsonl", lines=True)

Urdu dataset for POS training. This is a small dataset and can be used for training parts of speech tagging for Urdu Language. Structure of the dataset is simple i.e.

word TAG
word TAG

The tagset used to build dataset is taken from Sajjad's Tagset

Following are the datasets used for NER tasks.

Happy to announce that UNER (Urdu Named Entity Recognition) dataset is available for NLP apps. Following are NER tags which are used to build the dataset:

PERSON
LOCATION
ORGANIZATION
DATE
NUMBER
DESIGNATION
TIME

If you want to read more about the dataset check this paper Urdu NER. NER Dataset is in utf-16 format.

Latest for Urdu NER is available. Check this paper for more information MK-PUCIT.

Entities used in the dataset are

Other
Organization
Person
Location

MK-PUCIT author also provided the Dropbox link to download the data. Dropbox

IJNLP dataset has following NER tags.

O
LOCATION
PERSON
TIME
ORGANIZATION
NUMBER
DESIGNATION

Jahangir dataset has following NER tags.

O
PERSON
LOCATION
ORGANIZATION
DATE
TIME

This dataset is taken from IMDB Urdu. It was translated using Google Translator. It has only two labels i.e.

positive
negative

This dataset can be used for sentiment analysis for Roman Urdu. It has 3 classes for classification.

Neutral
Positive
Negative

If you need more information about this dataset checkout the link Roman Urdu Dataset.

This dataset is collected from different sources like social media and web for various products and services for sentiment analysis. It contains 3 classes.

pos
neg
neu

This dataset consists of reviews taken from Daraz. You can use it for sentiment analysis as well as spam or ham classification. It contains following columns.

Product_ID
Date
Rating
Spam(1) and Not Spam(0)
Reviews
Sentiment
Features

Dataset is taken from kaggle daraz

Here is a small dataset for sentiment analysis. It has following classifying labels

P
N
O

Link to the paper Paper GitHub link to data Urdu Corpus V1

This dataset(news/urdu-news-dataset-1M.tar.xz) is taken from Urdu News Dataset 1M. It has 4 classes and can be used for classification and other NLP tasks. I have removed unnecessary columns.

Business & Economics
Entertainment
Science & Technology
Sports

This dataset(news/real_fake_news.tar.gz) is used for classification of real and fake news in Fake News Dataset Dataset contains following domain news.

Technology 
Education 
Business
Sports
Politics
Entertainment

Headlines(news/headlines.csv.tar.gz) dataset is taken from Urd News Headlines. Original dataset is in Excel format, I've converted to csv for experiments. Can be used for clustering and classification.

This dataset is collected from journalism and can be used for Urdu NLP research. Here is the link to the resource for more information COUNTER.

I have added two qa datasets, if someone wants to use it for QA based Chatbot. QA(Ahadis): qa_ahadis.csv It contains qa pairs for Ahadis.

The dataset qa_gk.csv it contains the general knowledge QA.

Urdu model for SpaCy is available now. You can use it to build NLP apps easily. Install the package in your working environment.

pip install ur_model-0.0.0.tar.gz

You can use it with following code.

import spacy
nlp = spacy.load("ur_model")
doc = nlp("میں خوش ہوں کے اردو ماڈل دستیاب ہے۔ ")

Checkout my articles related to Urdu NLP tasks

• POS Tagging Urdu POS Tagging using MLP
• NER How to build NER dataset for Urdu language?, Named Entity Recognition for Urdu
• Word 2 Vector How to build Word 2 Vector for Urdu language
• Word and Sentence Similarity Urdu Word and Sentence Similarity using SpaCy
• Tokenization Urdu Tokenization using SpaCy
• Urdu Language Model How to build Urdu language model in SpaCy

These articles are available on UrduNLP.

If you want to get only raw files(text or code) then use curl command i.e.

curl -LJO https://github.com/mirfan899/Urdu/blob/master/ner/uner.txt

cd data
cat */*.txt > file_name.txt

Concatenate files of MK-PUCIT into single file using.

cat */*.txt > file_name.txt

Original dataset has a bug like Others and Other which are same entities, if you want to use the dataset from dropbox link, use following commands to clean it.

import pandas as pd
data = pd.read_csv('ner/mk-pucit.txt', sep='\t', names={"tag", "word"})
data.tag.replace({"Others":"Other"}, inplace=True)
# save according you need as csv or txt by changing the extension
data.to_csv("ner/mk-pucit.txt", index=False, header=False, sep='\t')

Now csv/txt file has format

word tag

If you have a dataset(link) and want to contribute, feel free to create PR.