Datasets:
File size: 2,912 Bytes
bbc372c eb6c1dd bbc372c eb6c1dd d937543 eb6c1dd f0e4299 eb6c1dd a07cf52 eb6c1dd a07cf52 eb6c1dd a07cf52 eb6c1dd a07cf52 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 |
---
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](https://www.linguateca.pt/) - 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](https://www.linguateca.pt/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](https://github.com/fabiocapsouza/harem_preprocessing).
If you'd like to reproduce the creation of the dataset, you can check [my own fork](https://github.com/marquesafonso/harem_preprocessing) 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](https://huggingface.co/datasets/Linguateca/harem)
## 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}
}
``` |