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tellarin's picture
Updating info on original dataset format
dfeff4c
---
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.