Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
German
Size:
100K<n<1M
License:
metadata
paperswithcode_id: null
pretty_name: GermEval14
Dataset Card for "germeval_14"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://sites.google.com/site/germeval2014ner/
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 9.81 MB
- Size of the generated dataset: 17.19 MB
- Total amount of disk used: 27.00 MB
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
Languages
Dataset Structure
Data Instances
germeval_14
- Size of downloaded dataset files: 9.81 MB
- Size of the generated dataset: 17.19 MB
- Total amount of disk used: 27.00 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
: astring
feature.source
: astring
feature.tokens
: alist
ofstring
features.ner_tags
: alist
of classification labels, with possible values includingO
(0),B-LOC
(1),I-LOC
(2),B-LOCderiv
(3),I-LOCderiv
(4).nested_ner_tags
: alist
of classification labels, with possible values includingO
(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
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
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},
}
Contributions
Thanks to @thomwolf, @jplu, @lewtun, @lhoestq, @stefan-it, @mariamabarham for adding this dataset.