Datasets:

Task Categories: structure-prediction
Languages: tr
Multilinguality: monolingual
Size Categories: 100K<n<1M
Licenses: cc-by-4.0
Language Creators: expert-generated
Annotations Creators: machine-generated
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Status code:   400
Exception:     ManualDownloadError
Message:       The dataset turkish_shrinked_ner with config default requires manual data.
                    Please follow the manual download instructions:
                         You need to go to https://www.kaggle.com/behcetsenturk/shrinked-twnertc-turkish-ner-data-by-kuzgunlar,
    and manually download the turkish_shrinked_ner. Once it is completed,
    a file named archive.zip will be appeared in your Downloads folder
    or whichever folder your browser chooses to save files to. You then have
    to unzip the file and move train.txt under <path/to/folder>.
    The <path/to/folder> can e.g. be "~/manual_data".
    turkish_shrinked_ner can then be loaded using the following command `datasets.load_dataset("turkish_shrinked_ner", data_dir="<path/to/folder>")`.

                    Manual data can be loaded with:
                     datasets.load_dataset(turkish_shrinked_ner, data_dir='<path/to/manual/data>')

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Dataset Card for turkish_shrinked_ner

Dataset Summary

Shrinked processed version (48 entity type) of the turkish_ner.

Original turkish_ner dataset: 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.

Shrinked entity types are: academic, academic_person, aircraft, album_person, anatomy, animal, architect_person, capital, chemical, clothes, country, culture, currency, date, food, genre, government, government_person, language, location, material, measure, medical, military, military_person, nation, newspaper, organization, organization_person, person, production_art_music, production_art_music_person, quantity, religion, science, shape, ship, software, space, space_person, sport, sport_name, sport_person, structure, subject, tech, train, vehicle

Supported Tasks and Leaderboards

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Languages

Turkish

Dataset Structure

Data Instances

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Data Fields

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Data Splits

There's only the training set.

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

Behcet Senturk

Licensing Information

Creative Commons Attribution 4.0 International

Citation Information

[Needs More Information]

Contributions

Thanks to @bhctsntrk for adding this dataset.

Models trained or fine-tuned on turkish_shrinked_ner

None yet