Datasets:
Tasks:
Other
Languages:
Swedish
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
other
Annotations Creators:
expert-generated
Source Datasets:
original
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- other | |
language: | |
- sv | |
license: | |
- cc-by-4.0 | |
multilinguality: | |
- monolingual | |
size_categories: | |
- unknown | |
source_datasets: | |
- original | |
task_categories: | |
- other | |
task_ids: | |
- named-entity-recognition | |
- part-of-speech | |
pretty_name: sucx3_ner | |
tags: | |
- structure-prediction | |
# Dataset Card for _SUCX 3.0 - NER_ | |
## Dataset Description | |
- **Homepage:** [https://spraakbanken.gu.se/en/resources/suc3](https://spraakbanken.gu.se/en/resources/suc3) | |
- **Repository:** [https://github.com/kb-labb/sucx3_ner](https://github.com/kb-labb/sucx3_ner) | |
- **Paper:** [SUC 2.0 manual](http://spraakbanken.gu.se/parole/Docs/SUC2.0-manual.pdf) | |
- **Point of Contact:** | |
### Dataset Summary | |
The dataset is a conversion of the venerable SUC 3.0 dataset into the | |
huggingface ecosystem. | |
The original dataset does not contain an official train-dev-test split, which is | |
introduced here; the tag distribution for the NER tags between the three splits | |
is mostly the same. | |
The dataset has three different types of tagsets: manually annotated POS, | |
manually annotated NER, and automatically annotated NER. | |
For the automatically annotated NER tags, only sentences were chosen, where the | |
automatic and manual annotations would match (with their respective categories). | |
Additionally we provide remixes of the same data with some or all sentences | |
being lowercased. | |
### Supported Tasks and Leaderboards | |
- Part-of-Speech tagging | |
- Named-Entity-Recognition | |
### Languages | |
Swedish | |
## Dataset Structure | |
### Data Remixes | |
- `original_tags` contain the manual NER annotations | |
- `lower` the whole dataset uncased | |
- `lower_mix` some of the dataset uncased | |
- `lower_both` every instance both cased and uncased | |
- `simple_tags` contain the automatic NER annotations | |
- `lower` the whole dataset uncased | |
- `lower_mix` some of the dataset uncased | |
- `lower_both` every instance both cased and uncased | |
### Data Instances | |
For each instance, there is an `id`, with an optional `_lower` suffix to mark | |
that it has been modified, a `tokens` list of strings containing tokens, a | |
`pos_tags` list of strings containing POS-tags, and a `ner_tags` list of strings | |
containing NER-tags. | |
```json | |
{"id": "e24d782c-e2475603_lower", | |
"tokens": ["-", "dels", "har", "vi", "inget", "index", "att", "g\u00e5", "efter", ",", "vi", "kr\u00e4ver", "allts\u00e5", "ers\u00e4ttning", "i", "40-talets", "penningv\u00e4rde", "."], | |
"pos_tags": ["MID", "KN", "VB", "PN", "DT", "NN", "IE", "VB", "PP", "MID", "PN", "VB", "AB", "NN", "PP", "NN", "NN", "MAD"], | |
"ner_tags": ["O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"]} | |
``` | |
### Data Fields | |
- `id`: a string containing the sentence-id | |
- `tokens`: a list of strings containing the sentence's tokens | |
- `pos_tags`: a list of strings containing the tokens' POS annotations | |
- `ner_tags`: a list of strings containing the tokens' NER annotations | |
### Data Splits | |
| Dataset Split | Size Percentage of Total Dataset Size | Number of Instances for the Original Tags | | |
| ------------- | ------------------------------------- | ----------------------------------------- | | |
| train | 64% | 46\,026 | | |
| dev | 16% | 11\,506 | | |
| test | 20% | 14\,383 | | |
The `simple_tags` remix has fewer instances due to the requirement to match | |
tags. | |
## Dataset Creation | |
See the [original webpage](https://spraakbanken.gu.se/en/resources/suc3) | |
## Additional Information | |
### Dataset Curators | |
[Språkbanken](sb-info@svenska.gu.se) | |
### Licensing Information | |
CC BY 4.0 (attribution) | |
### Citation Information | |
[SUC 2.0 manual](http://spraakbanken.gu.se/parole/Docs/SUC2.0-manual.pdf) | |
### Contributions | |
Thanks to [@robinqrtz](https://github.com/robinqrtz) for adding this dataset. | |