Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Swedish
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
File size: 4,590 Bytes
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---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- sv
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: Swedish NER Corpus
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
'0': '0'
'1': LOC
'2': MISC
'3': ORG
'4': PER
splits:
- name: train
num_bytes: 2032630
num_examples: 6886
- name: test
num_bytes: 755234
num_examples: 2453
download_size: 1384558
dataset_size: 2787864
---
# Dataset Card for Swedish NER Corpus
## 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://github.com/klintan/swedish-ner-corpus]()
- **Repository:** [https://github.com/klintan/swedish-ner-corpus]()
- **Point of contact:** [Andreas Klintberg](ankl@kth.se)
### Dataset Summary
Webbnyheter 2012 from Spraakbanken, semi-manually annotated and adapted for CoreNLP Swedish NER. Semi-manually defined in this case as: Bootstrapped from Swedish Gazetters then manually correcte/reviewed by two independent native speaking swedish annotators. No annotator agreement calculated.
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
Swedish
## Dataset Structure
### Data Instances
A sample dataset instance is provided below:
```json
{'id': '3',
'ner_tags': [4, 4, 0, 0, 0, 0, 0, 0, 3, 3, 0],
'tokens': ['Margaretha',
'Fahlgren',
',',
'professor',
'i',
'litteraturvetenskap',
',',
'vice-rektor',
'Uppsala',
'universitet',
'.']}
```
### Data Fields
- `id`: id of the sentence
- `token`: current token
- `ner_tag`: ner tag of the token
Full fields:
```json
{
"id":{
"feature_type":"Value"
"dtype":"string"
}
"tokens":{
"feature_type":"Sequence"
"feature":{
"feature_type":"Value"
"dtype":"string"
}
}
"ner_tags":{
"feature_type":"Sequence"
"dtype":"int32"
"feature":{
"feature_type":"ClassLabel"
"dtype":"int32"
"class_names":[
0:"0"
1:"LOC"
2:"MISC"
3:"ORG"
4:"PER"
]
}
}
}
```
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
[More Information Needed]
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
[More Information Needed]
#### 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
The original dataset was provided by Språkbanken which consists of news from Swedish newspapers' websites.
### Licensing Information
https://github.com/klintan/swedish-ner-corpus/blob/master/LICENSE
### Citation Information
[More Information Needed]
### Contributions
Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset. |