
# Dataset Card for Mac-Morpho

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#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)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [Mac-Morpho homepage](http://nilc.icmc.usp.br/macmorpho/)
- **Repository:** [Mac-Morpho repository](http://nilc.icmc.usp.br/macmorpho/)
- **Paper:** [Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese](https://journal-bcs.springeropen.com/articles/10.1186/s13173-014-0020-x)
- **Point of Contact:** [Erick R Fonseca](mailto:erickrfonseca@gmail.com)

### Dataset Summary

Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags. 
Its first version was released in 2003 [1], and since then, two revisions have been made in order 
to improve the quality of the resource [2, 3].
The corpus is available for download split into train, development and test sections. 
These are 76%, 4% and 20% of the corpus total, respectively (the reason for the unusual numbers 
is that the corpus was first split into 80%/20% train/test, and then 5% of the train section was 
set aside for development). This split was used in [3], and new POS tagging research with Mac-Morpho 
is encouraged to follow it in order to make consistent comparisons possible.


[1] Aluísio, S., Pelizzoni, J., Marchi, A.R., de Oliveira, L., Manenti, R., Marquiafável, V. 2003. 
An account of the challenge of tagging a reference corpus for brazilian portuguese. 
In: Proceedings of the 6th International Conference on Computational Processing of the Portuguese Language. PROPOR 2003

[2] Fonseca, E.R., Rosa, J.L.G. 2013. Mac-morpho revisited: Towards robust part-of-speech. 
In: Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL

[3] Fonseca, E.R., Aluísio, Sandra Maria, Rosa, J.L.G. 2015. 
Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese. 
Journal of the Brazilian Computer Society.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

Portuguese

## Dataset Structure

### Data Instances

An example from the Mac-Morpho dataset looks as follows:

```
{
    "id": "0",
    "pos_tags": [14, 19, 14, 15, 22, 7, 14, 9, 14, 9, 3, 15, 3, 3, 24],
    "tokens": ["Jersei", "atinge", "média", "de", "Cr$", "1,4", "milhão", "na", "venda", "da", "Pinhal", "em", "São", "Paulo", "."]
}
```

### Data Fields

- `id`: id of the sample
- `tokens`: the tokens of the example text
- `pos`: the PoS tags of each token

The PoS tags correspond to this list:
```
"PREP+PROADJ", "IN", "PREP+PRO-KS", "NPROP", "PREP+PROSUB", "KC", "PROPESS", "NUM", "PROADJ", "PREP+ART", "KS", 
"PRO-KS", "ADJ", "ADV-KS", "N", "PREP", "PROSUB", "PREP+PROPESS", "PDEN", "V", "PREP+ADV", "PCP", "CUR", "ADV", "PU", "ART"
```

### Data Splits

The data is split into train, validation and test set. The split sizes are as follow:

| Train  | Val   | Test  |
| ------ | ----- | ----- |
| 37948  | 1997  | 9987  |

## 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

```
@article{fonseca2015evaluating,
  title={Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese},
  author={Fonseca, Erick R and Rosa, Jo{\~a}o Lu{\'\i}s G and Alu{\'\i}sio, Sandra Maria},
  journal={Journal of the Brazilian Computer Society},
  volume={21},
  number={1},
  pages={2},
  year={2015},
  publisher={Springer}
}
```

### Contributions

Thanks to [@jonatasgrosman](https://github.com/jonatasgrosman) for adding this dataset.
task_categories:token-classification task_ids:part-of-speech annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:pt license:cc-by-4.0 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["pt"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["part-of-speech"], "pretty_name": "Mac-Morpho", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "pos_tags", "sequence": {"class_label": {"names": {"0": "PREP+PROADJ", "1": "IN", "2": "PREP+PRO-KS", "3": "NPROP", "4": "PREP+PROSUB", "5": "KC", "6": "PROPESS", "7": "NUM", "8": "PROADJ", "9": "PREP+ART", "10": "KS", "11": "PRO-KS", "12": "ADJ", "13": "ADV-KS", "14": "N", "15": "PREP", "16": "PROSUB", "17": "PREP+PROPESS", "18": "PDEN", "19": "V", "20": "PREP+ADV", "21": "PCP", "22": "CUR", "23": "ADV", "24": "PU", "25": "ART"}}}}], "splits": [{"name": "train", "num_bytes": 12635011, "num_examples": 37948}, {"name": "test", "num_bytes": 3095292, "num_examples": 9987}, {"name": "validation", "num_bytes": 671356, "num_examples": 1997}], "download_size": 2463485, "dataset_size": 16401659}}
TAGS
#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Portuguese #license-cc-by-4.0 #region-us 

Dataset Card for Mac-Morpho
===========================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: Mac-Morpho homepage
* Repository: Mac-Morpho repository
* Paper: Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese
* Point of Contact: Erick R Fonseca


### Dataset Summary


Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags.
Its first version was released in 2003 [1], and since then, two revisions have been made in order
to improve the quality of the resource [2, 3].
The corpus is available for download split into train, development and test sections.
These are 76%, 4% and 20% of the corpus total, respectively (the reason for the unusual numbers
is that the corpus was first split into 80%/20% train/test, and then 5% of the train section was
set aside for development). This split was used in [3], and new POS tagging research with Mac-Morpho
is encouraged to follow it in order to make consistent comparisons possible.


[1] Aluísio, S., Pelizzoni, J., Marchi, A.R., de Oliveira, L., Manenti, R., Marquiafável, V. 2003.
An account of the challenge of tagging a reference corpus for brazilian portuguese.
In: Proceedings of the 6th International Conference on Computational Processing of the Portuguese Language. PROPOR 2003


[2] Fonseca, E.R., Rosa, J.L.G. 2013. Mac-morpho revisited: Towards robust part-of-speech.
In: Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL


[3] Fonseca, E.R., Aluísio, Sandra Maria, Rosa, J.L.G. 2015.
Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese.
Journal of the Brazilian Computer Society.


### Supported Tasks and Leaderboards


### Languages


Portuguese


Dataset Structure
-----------------


### Data Instances


An example from the Mac-Morpho dataset looks as follows:


### Data Fields


* 'id': id of the sample
* 'tokens': the tokens of the example text
* 'pos': the PoS tags of each token


The PoS tags correspond to this list:


### Data Splits


The data is split into train, validation and test set. The split sizes are as follow:


Train: 37948, Val: 1997, Test: 9987


Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


### Contributions


Thanks to @jonatasgrosman for adding this dataset.



### Dataset Summary


Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags.
Its first version was released in 2003 [1], and since then, two revisions have been made in order
to improve the quality of the resource [2, 3].
The corpus is available for download split into train, development and test sections.
These are 76%, 4% and 20% of the corpus total, respectively (the reason for the unusual numbers
is that the corpus was first split into 80%/20% train/test, and then 5% of the train section was
set aside for development). This split was used in [3], and new POS tagging research with Mac-Morpho
is encouraged to follow it in order to make consistent comparisons possible.


[1] Aluísio, S., Pelizzoni, J., Marchi, A.R., de Oliveira, L., Manenti, R., Marquiafável, V. 2003.
An account of the challenge of tagging a reference corpus for brazilian portuguese.
In: Proceedings of the 6th International Conference on Computational Processing of the Portuguese Language. PROPOR 2003


[2] Fonseca, E.R., Rosa, J.L.G. 2013. Mac-morpho revisited: Towards robust part-of-speech.
In: Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL


[3] Fonseca, E.R., Aluísio, Sandra Maria, Rosa, J.L.G. 2015.
Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese.
Journal of the Brazilian Computer Society. ### Supported Tasks and Leaderboards ### Languages


Portuguese


Dataset Structure
----------------- ### Data Instances


An example from the Mac-Morpho dataset looks as follows: ### Data Fields


* 'id': id of the sample
* 'tokens': the tokens of the example text
* 'pos': the PoS tags of each token


The PoS tags correspond to this list: ### Data Splits


The data is split into train, validation and test set. The split sizes are as follow:


Train: 37948, Val: 1997, Test: 9987


Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @jonatasgrosman for adding this dataset.
TAGS
#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Portuguese #license-cc-by-4.0 #region-us 
 ### Dataset Summary


Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags.
Its first version was released in 2003 [1], and since then, two revisions have been made in order
to improve the quality of the resource [2, 3].
The corpus is available for download split into train, development and test sections.
These are 76%, 4% and 20% of the corpus total, respectively (the reason for the unusual numbers
is that the corpus was first split into 80%/20% train/test, and then 5% of the train section was
set aside for development). This split was used in [3], and new POS tagging research with Mac-Morpho
is encouraged to follow it in order to make consistent comparisons possible.


[1] Aluísio, S., Pelizzoni, J., Marchi, A.R., de Oliveira, L., Manenti, R., Marquiafável, V. 2003.
An account of the challenge of tagging a reference corpus for brazilian portuguese.
In: Proceedings of the 6th International Conference on Computational Processing of the Portuguese Language. PROPOR 2003


[2] Fonseca, E.R., Rosa, J.L.G. 2013. Mac-morpho revisited: Towards robust part-of-speech.
In: Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL


[3] Fonseca, E.R., Aluísio, Sandra Maria, Rosa, J.L.G. 2015.
Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese.
Journal of the Brazilian Computer Society. ### Supported Tasks and Leaderboards ### Languages


Portuguese


Dataset Structure
----------------- ### Data Instances


An example from the Mac-Morpho dataset looks as follows: ### Data Fields


* 'id': id of the sample
* 'tokens': the tokens of the example text
* 'pos': the PoS tags of each token


The PoS tags correspond to this list: ### Data Splits


The data is split into train, validation and test set. The split sizes are as follow:


Train: 37948, Val: 1997, Test: 9987


Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @jonatasgrosman for adding this dataset.
passage: TAGS
#task_categories-token-classification #task_ids-part-of-speech #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Portuguese #license-cc-by-4.0 #region-us 
### Dataset Summary


Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags.
Its first version was released in 2003 [1], and since then, two revisions have been made in order
to improve the quality of the resource [2, 3].
The corpus is available for download split into train, development and test sections.
These are 76%, 4% and 20% of the corpus total, respectively (the reason for the unusual numbers
is that the corpus was first split into 80%/20% train/test, and then 5% of the train section was
set aside for development). This split was used in [3], and new POS tagging research with Mac-Morpho
is encouraged to follow it in order to make consistent comparisons possible.


[1] Aluísio, S., Pelizzoni, J., Marchi, A.R., de Oliveira, L., Manenti, R., Marquiafável, V. 2003.
An account of the challenge of tagging a reference corpus for brazilian portuguese.
In: Proceedings of the 6th International Conference on Computational Processing of the Portuguese Language. PROPOR 2003


[2] Fonseca, E.R., Rosa, J.L.G. 2013. Mac-morpho revisited: Towards robust part-of-speech.
In: Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL


[3] Fonseca, E.R., Aluísio, Sandra Maria, Rosa, J.L.G. 2015.
Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese.
Journal of the Brazilian Computer Society.### Supported Tasks and Leaderboards### Languages


Portuguese


Dataset Structure
-----------------