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90 Column Writings

90 Column Writings dataset contains 270 Turkish column writings from 9 different authors, each has 10 coloumn writings. Dataset is genereated by Kemik Natural Language Processing Group.

Dataset Details

This dataset is created for Text2arf text presentation library, presented in the Ender Can et. al. The average length of texts is 466 words.

Samples

A sample instance is presented below.

Example:

17 bin 500 gaziyi defterden sildiler MİLLİ Savunma Bakanlığı, yeni bir yönerge çıkararak, sosyal güvencesi olan gazilerden Silahlı Kuvvetler'e ait sağlık muayene fiş ve cüzdanlarını iade etmelerini istedi. Toplam 42 bin 227 savaş gazisinden 17 bin 500'ünü kapsayan bu kararla birlikte, gazilerin askeri hastanelerde ücretsiz muayene olma, tedavi görme ve ilaç katkı payı alma hakkı ellerinden alınmış oldu. TÜRK Silahlı Kuvvetleri'nin (TSK) sağlık muayene fişleri ve sağlık cüzdanlarıyla ilgili yönergesinde değişiklik yapan Milli Savunma Bakanlığı, bir anda 42 bin 227 savaş gazisinden 17 bin 500'ünü defterden sildi. Yeni yönergeye göre, SSK, Bağ-Kur ve Emekli Sandığı gibi kurumların herhangi birinden sosyal güvencesi olan gaziler, Silahlı Kuvvetler'e ait sağlık muayene fiş ve cüzdanlarını iade etmek zorunda kalacak. Bu da, gazilerin askeri hastanelerden ücretsiz yararlanma hakkının elinden alınmasına yol açacak. Bugüne kadar herhangi bir ayrım yapılmaksızın asker, askeri personel ve emeklilerine tanınan tüm sağlık hizmetlerinden gazi ve eşleri de yararlanabiliyordu. Gaziler, askeri hastanelerde ücretsiz muayene olup, tedavi görebiliyor ve ilaç katkı payı alabiliyordu. HAKLARINI KAYBETTİLER Ancak, Milli Savunma Bakanlığı Türk Silahlı Kuvvetleri'nin sağlık muayene fiş ve sağlık cüzdanlarıyla ilgili yönergesinde değişiklik yaparak, gazilere tanınan sağlık hizmetlerinde bazı kısıtlamalara gitti. Bundan böyle, TSK'ya ait sağlık muayene fişi ve cüzdanı kullanma hakkından sadece, hiç bir sağlık güvencesi olmayan gaziler yararlanabilecek. SSK, Bağ-Kur ve Emekli Sandığı gibi herhangi bir sosyal güvenlik kurumuna tabii olan gazi ve gazi eşleri ise artık bu haktan yararlanamayacak. Sosyal güvencesi olan gazi ve eşlerine bundan böyle, sağlık muayene fişi ve sağlık cüzdanı da verilmeyecek. Ayrıca, daha önce verilmiş olan muayene fişi ve sağlık cüzdanlarını da askerlik şubelerine iade etmek zorunda kalacaklar. GAZİLERE ÇOK GÖRDÜLER Arkadaşımız Ayşegül Akyarlı, yeni yönergeyle, Milli Savunma Bakanlığı'nın 'defterden sildiği' SSK'dan emekli 72 yaşındaki Kore Gazisi Ömer Korkut'un şikayetiyle ilgili olarak bir araştırma yaptı. Bu araştırmaya göre, şu anda Türkiye'de 20'si Kurtuluş Savaşı, 9 bin 486'sı Kore Savaşı, 32 bin 721'i de Kıbrıs Savaşı olmak üzere toplam 42 bin 227 savaş gazi bulunuyor. Bunların eş ve dul eşleriyle birlikte gazilere tanınan haklardan yararlananların sayısı ise, 53 bin 36'ya ulaşıyor. Yeni yönergeden, 17 bin 500'ü gazi olmak üzere toplam 22 bin kişi etkileniyor. Şimdi, askerlik şubelerinden sosyal güvencesi olan bu 22 bin gazi ve gazi eşine ayrı ayrı mektup gönderilerek, ellerindeki Silahlı Kuvvetler'e ait muayene fişi ve sağlık karnelerini iade etmeleri isteniyor. Erhan Abi’yle bir ilgim yok BAZI bilgisayar firmaların oluşturduğu Bilgisayar Kullanıcılarını Bilinçlendirme Platformu'nun (BKM) geçtiğimiz günlerde gazetelere verdiği ilanlar, sizin de dikkatinizi çekmiştir. Bu ilanlarda, toplama bilgisayarlarla ilgili tüketici şikayetlerinin iletileceği bir de internet adresi veriliyor. Hürriyet'in Tüketici Köşesi'nden esinlenerek oluşturulan bu www.tuketicinin-erhanabisi.com adlı siteyle hiçbir ilgim yoktur. Sadece toplama bilgisayarlar için değil, her türlü tüketici şikayetiyle ilgili olarak bize ulaşmak isterseniz, www.erkanabi.com adresini kullanabilir, tuketici@hurriyet.com.tr'den de e-postalarınızı gönderebilirsiniz.

Fields

Each file presents a coloumn writing and coloumn writings belong to same author are contained in the same directory.

Splits

No split is provided by the dataset creators.

Dataset Creation

Curation Rationale

The main goal for this dataset is text classification by their authors.

Data Source

The authors gathered the news from internet news, collected between 2004-2005.

Personal and Sensitive Information

All the news articles presented are already published to the public. Even though some personal information might be presented in the magazine articles, all of the present information is in a legal framework.

Considerations

Social Impact of Dataset

This dataset is part of an effort to encourage text classification research in languages other than English. Such work increases the accessibility of natural language technology to more regions and cultures.

Discussion of Biases

The data included here are from the news. Some of the presented articles may have been disclaimed.

Dataset Curators

Published by Ender Can, Mehmet Fatih Amasyalı

Citation Information

@article{ender2016Text2arff,
  title={Text2arff: A text representation library},
  author={Can, E and Amasyalı, MF},
  journal={SİU},
  pages={197-200},
  year={2016},
  address={Zonguldak, Turkey},
  doi={10.1109/SIU.2016.7495711}
}
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