Datasets:
dataset_info:
features:
- name: doc_id
dtype: string
- name: doc_ps
list:
- name: entities
list:
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: label
dtype: string
- name: start_offset
dtype: int64
- name: text
dtype: string
- name: p_id
dtype: int64
- name: p_text
dtype: string
splits:
- name: selective
num_bytes: 850523
num_examples: 129
- name: total
num_bytes: 936826
num_examples: 129
download_size: 918085
dataset_size: 1787349
configs:
- config_name: default
data_files:
- split: selective
path: data/selective-*
- split: total
path: data/total-*
license: mit
task_categories:
- token-classification
language:
- pt
Segundo HAREM
According to Linguateca - a repository for Natural Language resources in Portuguese - HAREM is a "joint evaluation in the area of Named Entity Recognition in Portuguese".
The sole goal of this dataset is to make Segundo HAREM generally available through the huggingface hub and the datasets library.
Intended use: this dataset may be used to train and/or evaluate Named Entity Recognition models in Portuguese.
The script used to convert the original xml file containing the annotations of Segundo HAREM to json, and subsequently to a dataset, was derived from this fork.
If you'd like to reproduce the creation of the dataset, you can check my own fork from which this dataset was created.
You may find the authors and relevant work of this dataset in the citations section below. All credit is theirs.
Note: The first version of HAREM is already available in the huggingface hub here
Citations
@inproceedings{freitas-etal-2010-second,
title = "Second {HAREM}: Advancing the State of the Art of Named Entity Recognition in {P}ortuguese",
author = "Freitas, Cl{\'a}udia and
Mota, Cristina and
Santos, Diana and
Oliveira, Hugo Gon{\c{c}}alo and
Carvalho, Paula",
booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
month = may,
year = "2010",
address = "Valletta, Malta",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/412_Paper.pdf"
}
@misc{fabiocapsouza2020,
author = {fabiocapsouza},
title = {harem_preprocessing},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/fabiocapsouza/harem_preprocessing}},
commit = {30083a542390094d84ec45116085ab71ceb1442c}
}