Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Portuguese
Size:
n<1K
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- found | |
languages: | |
- pt | |
licenses: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- n<1K | |
source_datasets: | |
- original | |
task_categories: | |
- structure-prediction | |
task_ids: | |
- named-entity-recognition | |
# Dataset Card for [Dataset Name] | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
## Dataset Description | |
- **Homepage:** [HAREM homepage](https://www.linguateca.pt/primeiroHAREM/harem_coleccaodourada_en.html) | |
- **Repository:** [HAREM repository](https://www.linguateca.pt/primeiroHAREM/harem_coleccaodourada_en.html) | |
- **Paper:** [HAREM: An Advanced NER Evaluation Contest for Portuguese](http://comum.rcaap.pt/bitstream/10400.26/76/1/SantosSecoCardosoVilelaLREC2006.pdf) | |
- **Point of Contact:** [Diana Santos](mailto:diana.santos@sintef.no) | |
### Dataset Summary | |
The HAREM is a Portuguese language corpus commonly used for Named Entity Recognition tasks. It includes about 93k words, from 129 different texts, | |
from several genres, and language varieties. The split of this dataset version follows the division made by [1], where 7% HAREM | |
documents are the validation set and the miniHAREM corpus (with about 65k words) is the test set. There are two versions of the dataset set, | |
a version that has a total of 10 different named entity classes (Person, Organization, Location, Value, Date, Title, Thing, Event, | |
Abstraction, and Other) and a "selective" version with only 5 classes (Person, Organization, Location, Value, and Date). | |
It's important to note that the original version of the HAREM dataset has 2 levels of NER details, namely "Category" and "Sub-type". | |
The dataset version processed here ONLY USE the "Category" level of the original dataset. | |
[1] Souza, Fábio, Rodrigo Nogueira, and Roberto Lotufo. "BERTimbau: Pretrained BERT Models for Brazilian Portuguese." Brazilian Conference on Intelligent Systems. Springer, Cham, 2020. | |
### Supported Tasks and Leaderboards | |
[More Information Needed] | |
### Languages | |
Portuguese | |
## Dataset Structure | |
### Data Instances | |
``` | |
{ | |
"id": "HAREM-871-07800", | |
"ner_tags": [3, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4, | |
], | |
"tokens": [ | |
"Abraço", "Página", "Principal", "ASSOCIAÇÃO", "DE", "APOIO", "A", "PESSOAS", "COM", "VIH", "/", "SIDA" | |
] | |
} | |
``` | |
### Data Fields | |
- `id`: id of the sample | |
- `tokens`: the tokens of the example text | |
- `ner_tags`: the NER tags of each token | |
The NER tags correspond to this list: | |
``` | |
"O", "B-PESSOA", "I-PESSOA", "B-ORGANIZACAO", "I-ORGANIZACAO", "B-LOCAL", "I-LOCAL", "B-TEMPO", "I-TEMPO", "B-VALOR", "I-VALOR", "B-ABSTRACCAO", "I-ABSTRACCAO", "B-ACONTECIMENTO", "I-ACONTECIMENTO", "B-COISA", "I-COISA", "B-OBRA", "I-OBRA", "B-OUTRO", "I-OUTRO" | |
``` | |
The NER tags have the same format as in the CoNLL shared task: a B denotes the first item of a phrase and an I any non-initial word. | |
### Data Splits | |
The data is split into train, validation and test set for each of the two versions (default and selective). The split sizes are as follow: | |
| Train | Val | Test | | |
| ------ | ----- | ---- | | |
| 121 | 8 | 128 | | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### Annotations | |
#### Annotation process | |
[More Information Needed] | |
#### Who are the annotators? | |
[More Information Needed] | |
### Personal and Sensitive Information | |
[More Information Needed] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[More Information Needed] | |
### Discussion of Biases | |
[More Information Needed] | |
### Other Known Limitations | |
[More Information Needed] | |
## Additional Information | |
### Dataset Curators | |
[More Information Needed] | |
### Licensing Information | |
[More Information Needed] | |
### Citation Information | |
``` | |
@inproceedings{santos2006harem, | |
title={Harem: An advanced ner evaluation contest for portuguese}, | |
author={Santos, Diana and Seco, Nuno and Cardoso, Nuno and Vilela, Rui}, | |
booktitle={quot; In Nicoletta Calzolari; Khalid Choukri; Aldo Gangemi; Bente Maegaard; Joseph Mariani; Jan Odjik; Daniel Tapias (ed) Proceedings of the 5 th International Conference on Language Resources and Evaluation (LREC'2006)(Genoa Italy 22-28 May 2006)}, | |
year={2006} | |
} | |
``` | |