---
license: cc-by-sa-4.0
language:
  - ceb
  - da
  - de
  - en
  - hr
  - pt
  - ru
  - sk
  - sr
  - sv
  - tl
  - zh
task_categories:
- token-classification
dataset_info:
- config_name: en_pud
  splits:
  - name: test
    num_examples: 999
- config_name: pt_pud
  splits:
  - name: test
    num_examples: 999
- config_name: sv_pud
  splits:
  - name: test
    num_examples: 999
- config_name: de_pud
  splits:
  - name: test
    num_examples: 999
- config_name: ru_pud
  splits:
  - name: test
    num_examples: 999
- config_name: zh_pud
  splits:
  - name: test
    num_examples: 999
- config_name: en_ewt
  splits:
  - name: test
    num_examples: 2076
  - name: dev
    num_examples: 2000
  - name: train
    num_examples: 12542
- config_name: da_ddt
  splits:
  - name: test
    num_examples: 564
  - name: dev
    num_examples: 563
  - name: train
    num_examples: 4382
- config_name: hr_set
  splits:
  - name: test
    num_examples: 1135
  - name: dev
    num_examples: 959
  - name: train
    num_examples: 6917
- config_name: sr_set
  splits:
  - name: test
    num_examples: 519
  - name: dev
    num_examples: 535
  - name: train
    num_examples: 3327
- config_name: pt_bosque
  splits:
  - name: test
    num_examples: 1166
  - name: dev
    num_examples: 1171
  - name: train
    num_examples: 4302
- config_name: sk_snk
  splits:
  - name: test
    num_examples: 1060
  - name: dev
    num_examples: 1059
  - name: train
    num_examples: 8482
- config_name: sv_talbanken
  splits:
  - name: test
    num_examples: 1218
  - name: dev
    num_examples: 503
  - name: train
    num_examples: 4302
- config_name: tl_trg
  splits:
  - name: test
    num_examples: 127
- config_name: tl_ugnayan
  splits:
  - name: test
    num_examples: 93
- config_name: zh_gsd
  splits:
  - name: test
    num_examples: 499
  - name: dev
    num_examples: 499
  - name: train
    num_examples: 3996
- config_name: zh_gsdsimp
  splits:
  - name: test
    num_examples: 499
  - name: dev
    num_examples: 499
  - name: train
    num_examples: 3996
---

# Dataset Card for Universal NER v1 in the Aya format

This dataset is a format conversion from its original v1 format into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions.

It contains data in multiple languages and this version is intended for multi-lingual LLM construction/tuning.

The dataset contains different subsets and their dev/test/train splits, depending on language. 

## Citation

If you utilize this dataset version, feel free to cite/footnote this huggingface dataset repo, but please also cite the original dataset publication.

**BibTeX:**

```
@preprint{mayhew2023universal,
  title={{Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark}}, 
  author={Stephen Mayhew and Terra Blevins and Shuheng Liu and Marek Šuppa and Hila Gonen and Joseph Marvin Imperial and Börje F. Karlsson and Peiqin Lin and Nikola Ljubešić and LJ Miranda and Barbara Plank and Arij Riabi and Yuval Pinter},
  year={2023},
  eprint={2311.09122},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}
```

## Dataset Details

For the original Universal NER dataset v1 and more details, please check https://huggingface.co/datasets/universalner/universal_ner.

## Format Conversion Details

The templates used to reformat the dataset are in the ./templates-uner directory.