Datasets:

GermanEval
/

germeval_14

Name: germeval_14
Creator: GermanEval
License: https://choosealicense.com/licenses/cc-by-4.0/

Tasks:

Token Classification

Sub-tasks:

named-entity-recognition

Languages:

German

Size:

100K<n<1M

License:

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Dataset Card for "germeval_14"

Dataset Summary

The GermEval 2014 NER Shared Task builds on a new dataset with German Named Entity annotation with the following properties: - The data was sampled from German Wikipedia and News Corpora as a collection of citations. - The dataset covers over 31,000 sentences corresponding to over 590,000 tokens. - The NER annotation uses the NoSta-D guidelines, which extend the Tübingen Treebank guidelines, using four main NER categories with sub-structure, and annotating embeddings among NEs such as [ORG FC Kickers [LOC Darmstadt]].

Supported Tasks and Leaderboards

More Information Needed

Languages

German

Dataset Structure

Data Instances

germeval_14

Size of downloaded dataset files: 10.29 MB
Size of the generated dataset: 18.03 MB
Total amount of disk used: 28.31 MB

An example of 'train' looks as follows. This example was too long and was cropped:

{
    "id": "11",
    "ner_tags": [13, 14, 14, 14, 14, 0, 0, 0, 0, 0, 0, 0, 19, 20, 13, 0, 1, 0, 0, 0, 0, 0, 19, 20, 20, 0, 0, 0, 0, 3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    "nested_ner_tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
    "source": "http://de.wikipedia.org/wiki/Liste_von_Filmen_mit_homosexuellem_Inhalt [2010-01-11] ",
    "tokens": "[\"Scenes\", \"of\", \"a\", \"Sexual\", \"Nature\", \"(\", \"GB\", \"2006\", \")\", \"-\", \"Regie\", \":\", \"Ed\", \"Blum\", \"Shortbus\", \"(\", \"USA\", \"2006..."
}

Data Fields

The data fields are the same among all splits.

germeval_14

id: a string feature.
source: a string feature.
tokens: a list of string features.
ner_tags: a list of classification labels, with possible values including O (0), B-LOC (1), I-LOC (2), B-LOCderiv (3), I-LOCderiv (4).
nested_ner_tags: a list of classification labels, with possible values including O (0), B-LOC (1), I-LOC (2), B-LOCderiv (3), I-LOCderiv (4).

Data Splits

name	train	validation	test
germeval_14	24000	2200	5100

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

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Annotations

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

CC BY-SA 4.0 license

Citation Information

@inproceedings{benikova-etal-2014-nosta,
    title = {NoSta-D Named Entity Annotation for German: Guidelines and Dataset},
    author = {Benikova, Darina  and
      Biemann, Chris  and
      Reznicek, Marc},
    booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)},
    month = {may},
    year = {2014},
    address = {Reykjavik, Iceland},
    publisher = {European Language Resources Association (ELRA)},
    url = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/276_Paper.pdf},
    pages = {2524--2531},
}