Datasets:
turkish_ner

	---
	annotations_creators:
	- machine-generated
	language_creators:
	- expert-generated
	language:
	- tr
	license:
	- cc-by-4.0
	multilinguality:
	- monolingual
	size_categories:
	- 100K<n<1M
	source_datasets:
	- original
	task_categories:
	- token-classification
	task_ids:
	- named-entity-recognition
	pretty_name: TurkishNer
	dataset_info:
	features:
	- name: id
	dtype: string
	- name: tokens
	sequence: string
	- name: domain
	dtype:
	class_label:
	names:
	'0': architecture
	'1': basketball
	'2': book
	'3': business
	'4': education
	'5': fictional_universe
	'6': film
	'7': food
	'8': geography
	'9': government
	'10': law
	'11': location
	'12': military
	'13': music
	'14': opera
	'15': organization
	'16': people
	'17': religion
	'18': royalty
	'19': soccer
	'20': sports
	'21': theater
	'22': time
	'23': travel
	'24': tv
	- name: ner_tags
	sequence:
	class_label:
	names:
	'0': O
	'1': B-PERSON
	'2': I-PERSON
	'3': B-ORGANIZATION
	'4': I-ORGANIZATION
	'5': B-LOCATION
	'6': I-LOCATION
	'7': B-MISC
	'8': I-MISC
	splits:
	- name: train
	num_bytes: 177658278
	num_examples: 532629
	download_size: 204393976
	dataset_size: 177658278
	---


	# Dataset Card for turkish_ner

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: http://arxiv.org/abs/1702.02363
	- Repository: [Needs More Information]
	- Paper: http://arxiv.org/abs/1702.02363
	- Leaderboard: [Needs More Information]
	- Point of Contact: erayyildiz@ktu.edu.tr

	### Dataset Summary

	Automatically annotated Turkish corpus for named entity recognition and text categorization using large-scale gazetteers. The constructed gazetteers contains approximately 300K entities with thousands of fine-grained entity types under 25 different domains.

	### Supported Tasks and Leaderboards

	[Needs More Information]

	### Languages

	Turkish

	## Dataset Structure

	### Data Instances

	[More Information Needed]

	### Data Fields

	[More Information Needed]

	### Data Splits

	There's only the training set.

	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed]

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	[More Information Needed]

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators

	H. Bahadir Sahin, Caglar Tirkaz, Eray Yildiz, Mustafa Tolga Eren and Omer Ozan Sonmez

	### Licensing Information

	Creative Commons Attribution 4.0 International

	### Citation Information

	@InProceedings@article{DBLP:journals/corr/SahinTYES17,
	author = {H. Bahadir Sahin and
	Caglar Tirkaz and
	Eray Yildiz and
	Mustafa Tolga Eren and
	Omer Ozan Sonmez},
	title = {Automatically Annotated Turkish Corpus for Named Entity Recognition
	and Text Categorization using Large-Scale Gazetteers},
	journal = {CoRR},
	volume = {abs/1702.02363},
	year = {2017},
	url = {http://arxiv.org/abs/1702.02363},
	archivePrefix = {arXiv},
	eprint = {1702.02363},
	timestamp = {Mon, 13 Aug 2018 16:46:36 +0200},
	biburl = {https://dblp.org/rec/journals/corr/SahinTYES17.bib},
	bibsource = {dblp computer science bibliography, https://dblp.org}
	}

	### Contributions

	Thanks to [@merveenoyan](https://github.com/merveenoyan) for adding this dataset.