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+.DS_Store

LICENSE

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+MIT License
+
+Copyright (c) 2019 Muhammad Irfan
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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----
-license: apache-2.0
-task_categories:
-- token-classification
-language:
-- ur
-tags:
-- art
-pretty_name: urdu-speech-tagging
-size_categories:
-- 10K<n<100K
----
+## Summary Dataset
+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.
+```text
+id
+url
+title
+summary
+text
+```
+
+You can easily read the data with pandas
+```python
+import pandas as pd
+test = pd.read_json("summary/urdu_test.jsonl", lines=True)
+```
+
+## POS dataset
+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.
+```text
+word TAG
+word TAG
+```
+
+The tagset used to build dataset is taken from [Sajjad's Tagset](http://www.cle.org.pk/Downloads/langproc/UrduPOStagger/UrduPOStagset.pdf)
+
+## NER Datasets
+Following are the datasets used for NER tasks.
+
+### UNER Dataset
+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:
+```text
+PERSON
+LOCATION
+ORGANIZATION
+DATE
+NUMBER
+DESIGNATION
+TIME
+```
+If you want to read more about the dataset check this paper [Urdu NER](https://www.researchgate.net/profile/Ali_Daud2/publication/312218764_Named_Entity_Dataset_for_Urdu_Named_Entity_Recognition_Task/links/5877354d08ae8fce492efe1f.pdf).
+NER Dataset is in `utf-16` format.
+
+### MK-PUCIT Dataset
+Latest for Urdu NER is available. Check this paper for more information [MK-PUCIT](https://www.researchgate.net/publication/332653135_URDU_NAMED_ENTITY_RECOGNITION_CORPUS_GENERATION_AND_DEEP_LEARNING_APPLICATIONS).
+
+Entities used in the dataset are
+```text
+Other
+Organization
+Person
+Location
+```
+
+`MK-PUCIT` author also provided the `Dropbox` link to download the data. [Dropbox](https://www.dropbox.com/sh/1ivw7ykm2tugg94/AAB9t5wnN7FynESpo7TjJW8la)
+
+### IJNLP 2008 dataset
+IJNLP dataset has following NER tags.
+```text
+O
+LOCATION
+PERSON
+TIME
+ORGANIZATION
+NUMBER
+DESIGNATION
+```
+
+### Jahangir dataset
+Jahangir dataset has following NER tags.
+```text
+O
+PERSON
+LOCATION
+ORGANIZATION
+DATE
+TIME
+```
+
+
+## Datasets for Sentiment Analysis
+### IMDB Urdu Movie Review Dataset.
+This dataset is taken from [IMDB Urdu](https://www.kaggle.com/akkefa/imdb-dataset-of-50k-movie-translated-urdu-reviews).
+It was translated using Google Translator. It has only two labels i.e.
+```text
+positive
+negative
+```
+
+### Roman Dataset
+This dataset can be used for sentiment analysis for Roman Urdu. It has 3 classes for classification.
+```textmate
+Neutral
+Positive
+Negative
+```
+If you need more information about this dataset checkout the link [Roman Urdu Dataset](https://archive.ics.uci.edu/ml/datasets/Roman+Urdu+Data+Set).
+
+### Products & Services 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.
+```textmate
+pos
+neg
+neu
+```
+
+
+### Daraz Products dataset
+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.
+```text
+Product_ID
+Date
+Rating
+Spam(1) and Not Spam(0)
+Reviews
+Sentiment
+Features
+```
+Dataset is taken from [kaggle daraz](https://www.kaggle.com/datasets/naveedhn/daraz-roman-urdu-reviews)
+
+
+### Urdu Dataset
+Here is a small dataset for sentiment analysis. It has following classifying labels 
+```textmate
+P
+N
+O
+```
+Link to the paper [Paper](https://www.researchgate.net/publication/338396518_Urdu_Sentiment_Corpus_v10_Linguistic_Exploration_and_Visualization_of_Labeled_Dataset_for_Urdu_Sentiment_Analysis)
+GitHub link to data [Urdu Corpus V1](https://github.com/MuhammadYaseenKhan/Urdu-Sentiment-Corpus)
+
+## News Datasets
+### Urdu News Dataset 1M
+This dataset(`news/urdu-news-dataset-1M.tar.xz`) is taken from [Urdu News Dataset 1M](https://data.mendeley.com/datasets/834vsxnb99/3). It has 4 classes and can be used for classification
+and other NLP tasks. I have removed unnecessary columns.
+```text
+Business & Economics
+Entertainment
+Science & Technology
+Sports
+```
+
+### Real-Fake News
+This dataset(`news/real_fake_news.tar.gz`) is used for classification of real and fake news in [Fake News Dataset](https://github.com/MaazAmjad/Datasets-for-Urdu-news) 
+Dataset contains following domain news.
+```text
+Technology 
+Education 
+Business
+Sports
+Politics
+Entertainment
+```
+
+### News Headlines
+Headlines(`news/headlines.csv.tar.gz`) dataset is taken from [Urd News Headlines](https://github.com/mwaseemrandhawa/Urdu-News-Headline-Dataset). Original dataset is in Excel format,
+I've converted to csv for experiments. Can be used for clustering and classification.
+### RAW corpus and models
+## COUNTER (COrpus of Urdu News TExt Reuse) Dataset
+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](http://ucrel.lancs.ac.uk/textreuse/counter.php).
+
+## QA datasets
+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
+Urdu model for SpaCy is available now. You can use it to build NLP apps easily. Install the package in your working environment.
+```shell
+pip install ur_model-0.0.0.tar.gz
+```
+
+You can use it with following code.
+```python
+import spacy
+nlp = spacy.load("ur_model")
+doc = nlp("میں خوش ہوں کے اردو ماڈل دستیاب ہے۔ ")
+```
+
+### NLP Tutorials for Urdu
+Checkout my articles related to Urdu NLP tasks
+* POS Tagging [Urdu POS Tagging using MLP](https://www.urdunlp.com/2019/04/urdu-pos-tagging-using-mlp.html)
+* NER [How to build NER dataset for Urdu language?](https://www.urdunlp.com/2019/08/how-to-build-ner-dataset-for-urdu.html), [Named Entity Recognition for Urdu](https://www.urdunlp.com/2019/05/named-entity-recognition-for-urdu.html)
+* Word 2 Vector [How to build Word 2 Vector for Urdu language](https://www.urdunlp.com/2019/08/how-to-build-word-2-vector-for-urdu.html)
+* Word and Sentence Similarity [Urdu Word and Sentence Similarity using SpaCy](https://www.urdunlp.com/2019/08/urdu-word-and-sentence-similarity-using.html)
+* Tokenization [Urdu Tokenization using SpaCy](https://www.urdunlp.com/2019/05/urdu-tokenization-usingspacy.html)
+* Urdu Language Model [How to build Urdu language model in SpaCy](https://www.urdunlp.com/2019/08/how-to-build-urdu-language-model-in.html)
+
+These articles are available on [UrduNLP](https://www.urdunlp.com/).
+
+## Some Helpful Tips
+
+### Download Single file from GitHub
+If you want to get only raw files(text or code) then use curl command i.e.
+```shell script
+curl -LJO https://github.com/mirfan899/Urdu/blob/master/ner/uner.txt
+```
+
+### Concatenate files
+```shell script
+cd data
+cat */*.txt > file_name.txt
+```
+
+### MK-PUCIT
+Concatenate files of MK-PUCIT into single file using.
+```shell script
+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.
+```python
+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 
+```text
+word tag
+```
+
+## Note
+If you have a dataset(link) and want to contribute, feel free to create PR.

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