
# Dataset Card for "germeval_14"

## 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:** [https://sites.google.com/site/germeval2014ner/](https://sites.google.com/site/germeval2014ner/)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [https://pdfs.semanticscholar.org/b250/3144ed2152830f6c64a9f797ab3c5a34fee5.pdf](https://pdfs.semanticscholar.org/b250/3144ed2152830f6c64a9f797ab3c5a34fee5.pdf)
- **Point of Contact:** [Darina Benikova](mailto:benikova@aiphes.tu-darmstadt.de)
- **Size of downloaded dataset files:** 10.29 MB
- **Size of the generated dataset:** 18.03 MB
- **Total amount of disk used:** 28.31 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

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 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:

```json
{
    "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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/)

### 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](https://github.com/thomwolf), [@jplu](https://github.com/jplu), [@lewtun](https://github.com/lewtun), [@lhoestq](https://github.com/lhoestq), [@stefan-it](https://github.com/stefan-it), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.
task_categories:token-classification task_ids:named-entity-recognition annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:de license:cc-by-4.0 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["de"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "paperswithcode_id": "nosta-d-named-entity-annotation-for-german", "pretty_name": "GermEval14", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-LOC", "2": "I-LOC", "3": "B-LOCderiv", "4": "I-LOCderiv", "5": "B-LOCpart", "6": "I-LOCpart", "7": "B-ORG", "8": "I-ORG", "9": "B-ORGderiv", "10": "I-ORGderiv", "11": "B-ORGpart", "12": "I-ORGpart", "13": "B-OTH", "14": "I-OTH", "15": "B-OTHderiv", "16": "I-OTHderiv", "17": "B-OTHpart", "18": "I-OTHpart", "19": "B-PER", "20": "I-PER", "21": "B-PERderiv", "22": "I-PERderiv", "23": "B-PERpart", "24": "I-PERpart"}}}}, {"name": "nested_ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-LOC", "2": "I-LOC", "3": "B-LOCderiv", "4": "I-LOCderiv", "5": "B-LOCpart", "6": "I-LOCpart", "7": "B-ORG", "8": "I-ORG", "9": "B-ORGderiv", "10": "I-ORGderiv", "11": "B-ORGpart", "12": "I-ORGpart", "13": "B-OTH", "14": "I-OTH", "15": "B-OTHderiv", "16": "I-OTHderiv", "17": "B-OTHpart", "18": "I-OTHpart", "19": "B-PER", "20": "I-PER", "21": "B-PERderiv", "22": "I-PERderiv", "23": "B-PERpart", "24": "I-PERpart"}}}}], "config_name": "germeval_14", "splits": [{"name": "train", "num_bytes": 13816714, "num_examples": 24000}, {"name": "validation", "num_bytes": 1266974, "num_examples": 2200}, {"name": "test", "num_bytes": 2943201, "num_examples": 5100}], "download_size": 10288972, "dataset_size": 18026889}}
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-German #license-cc-by-4.0 #region-us 

Dataset Card for "germeval\_14"
===============================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ 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
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository:
* Paper: URL
* Point of Contact: Darina Benikova
* Size of downloaded dataset files: 10.29 MB
* Size of the generated dataset: 18.03 MB
* Total amount of disk used: 28.31 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


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:


### 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



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


CC BY-SA 4.0 license


### Contributions


Thanks to @thomwolf, @jplu, @lewtun, @lhoestq, @stefan-it, @mariamabarham for adding this dataset.



### 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


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: ### 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



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


CC BY-SA 4.0 license ### Contributions


Thanks to @thomwolf, @jplu, @lewtun, @lhoestq, @stefan-it, @mariamabarham for adding this dataset.
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-German #license-cc-by-4.0 #region-us 
 ### 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


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: ### 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



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


CC BY-SA 4.0 license ### Contributions


Thanks to @thomwolf, @jplu, @lewtun, @lhoestq, @stefan-it, @mariamabarham for adding this dataset.