| | --- |
| | license: cc-by-4.0 |
| | dataset_info: |
| | features: |
| | - name: original |
| | dtype: string |
| | - name: tokens |
| | sequence: string |
| | - name: labels |
| | sequence: string |
| | - name: qid |
| | sequence: string |
| | - name: language |
| | dtype: string |
| | - name: url |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 5669993 |
| | num_examples: 6764 |
| | download_size: 1906917 |
| | dataset_size: 5669993 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | language: |
| | - nl |
| | - en |
| | - es |
| | - pt |
| | - el |
| | - fr |
| | - de |
| | pretty_name: winnl |
| | task_categories: |
| | - token-classification |
| | --- |
| | |
| | # WiNNL |
| |
|
| | WikiNews Named entity recognition and Linking (WiNNL) is a multilingual news NER & NEL benchmark based on Wikinews articles. |
| | The dataset was created by automatically scraping and tagging news articles, and manually corrected by native speakers to ensure accuracy. |
| |
|
| | You can find more information in the paper: |
| | https://aclanthology.org/2024.dlnld-1.3.pdf |
| |
|
| | The dataset includes the following NER classes in IOB format (`labels`): |
| | * **PER** (Person): person names |
| | * **LOC** (Location): geographical locations |
| | * **ORG** (Organisation): organisations |
| | * **AMB** (Ambiguous): entities that had an ambigous wikidata link in the article, and could be classified as multiple NER classes |
| | * **DATE** (Date): dates (e.g. "2022-01-01", "5th of January 2022") |
| | * **DISEASE** (Disease): diseases (e.g. "cancer", "COVID-19") |
| | * **EVT** (Event): events (e.g. "2024 US elections") |
| | * **SPE** (Sport Event): sports events (e.g. "World Cup", "Olympics") |
| | * **OTH** (Other): other entities that do not fit into any of the above categories |
| |
|
| | ***Please note that only the PER, ORG and LOC classes have been corrected manually.*** |
| |
|
| | The `qid` column contains the Wikidata entity identifiers for the entities in the dataset, also in IOB format. |
