Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Portuguese
Size:
n<1K
License:
Update files from the datasets library (from 1.18.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.18.0
README.md
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task_ids:
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- named-entity-recognition
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paperswithcode_id: null
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---
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# Dataset Card for
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## Table of Contents
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- [Dataset Description](#dataset-description)
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The HAREM is a Portuguese language corpus commonly used for Named Entity Recognition tasks. It includes about 93k words, from 129 different texts,
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from several genres, and language varieties. The split of this dataset version follows the division made by [1], where 7% HAREM
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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,
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a version that has a total of 10 different named entity classes (Person, Organization, Location, Value, Date, Title, Thing, Event,
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Abstraction, and Other) and a "selective" version with only 5 classes (Person, Organization, Location, Value, and Date).
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It's important to note that the original version of the HAREM dataset has 2 levels of NER details, namely "Category" and "Sub-type".
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### Contributions
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Thanks to [@jonatasgrosman](https://github.com/jonatasgrosman) for adding this dataset.
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task_ids:
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- named-entity-recognition
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paperswithcode_id: null
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pretty_name: HAREM
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---
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# Dataset Card for HAREM
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## Table of Contents
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- [Dataset Description](#dataset-description)
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The HAREM is a Portuguese language corpus commonly used for Named Entity Recognition tasks. It includes about 93k words, from 129 different texts,
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from several genres, and language varieties. The split of this dataset version follows the division made by [1], where 7% HAREM
|
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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,
|
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+
a version that has a total of 10 different named entity classes (Person, Organization, Location, Value, Date, Title, Thing, Event,
|
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Abstraction, and Other) and a "selective" version with only 5 classes (Person, Organization, Location, Value, and Date).
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It's important to note that the original version of the HAREM dataset has 2 levels of NER details, namely "Category" and "Sub-type".
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### Contributions
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+
Thanks to [@jonatasgrosman](https://github.com/jonatasgrosman) for adding this dataset.
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