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Update files from the datasets library (from 1.18.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.18.0

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  1. README.md +4 -3
README.md CHANGED
@@ -18,9 +18,10 @@ task_categories:
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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 [Dataset Name]
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  ## Table of Contents
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  - [Dataset Description](#dataset-description)
@@ -58,7 +59,7 @@ paperswithcode_id: null
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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".
@@ -177,4 +178,4 @@ The data is split into train, validation and test set for each of the two versio
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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
61
  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,
62
+ 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.