
# Dataset Card for "twitter-pos"

## 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:** [https://gate.ac.uk/wiki/twitter-postagger.html](https://gate.ac.uk/wiki/twitter-postagger.html)
- **Repository:** [https://github.com/GateNLP/gateplugin-Twitter](https://github.com/GateNLP/gateplugin-Twitter)
- **Paper:** [https://aclanthology.org/R13-1026/](https://aclanthology.org/R13-1026/)
- **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
- **Size of downloaded dataset files:** 51.96 MiB
- **Size of the generated dataset:** 251.22 KiB
- **Total amount of disk used:** 52.05 MB

### Dataset Summary

Part-of-speech information is basic NLP task. However, Twitter text
is difficult to part-of-speech tag: it is noisy, with linguistic errors and idiosyncratic style.
This dataset contains two datasets for English PoS tagging for tweets:

* Ritter, with train/dev/test
* Foster, with dev/test

Splits defined in the Derczynski paper, but the data is from Ritter and Foster.

* Ritter: [https://aclanthology.org/D11-1141.pdf](https://aclanthology.org/D11-1141.pdf), 
* Foster: [https://www.aaai.org/ocs/index.php/ws/aaaiw11/paper/download/3912/4191](https://www.aaai.org/ocs/index.php/ws/aaaiw11/paper/download/3912/4191)

### Supported Tasks and Leaderboards

* [Part of speech tagging on Ritter](https://paperswithcode.com/sota/part-of-speech-tagging-on-ritter)

### Languages

English, non-region-specific. `bcp47:en`

## Dataset Structure

### Data Instances

An example of 'train' looks as follows.

```
{'id': '0', 'tokens': ['Antick', 'Musings', 'post', ':', 'Book-A-Day', '2010', '#', '243', '(', '10/4', ')', '--', 'Gray', 'Horses', 'by', 'Hope', 'Larson', 'http://bit.ly/as8fvc'], 'pos_tags': [23, 23, 22, 9, 23, 12, 22, 12, 5, 12, 6, 9, 23, 23, 16, 23, 23, 51]}
```


### Data Fields

The data fields are the same among all splits.

#### twitter-pos
- `id`: a `string` feature.
- `tokens`: a `list` of `string` features.
- `pos_tags`: a `list` of classification labels (`int`). Full tagset with indices:

```python

```


### Data Splits

|  name   |tokens|sentences|
|---------|----:|---------:|
|ritter train|10652|551|
|ritter dev  |2242|118|
|ritter test |2291|118|
|foster dev  |2998|270|
|foster test |2841|250|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information


### Citation Information

```
@inproceedings{ritter2011named,
  title={Named entity recognition in tweets: an experimental study},
  author={Ritter, Alan and Clark, Sam and Etzioni, Oren and others},
  booktitle={Proceedings of the 2011 conference on empirical methods in natural language processing},
  pages={1524--1534},
  year={2011}
}

@inproceedings{foster2011hardtoparse,
  title={\# hardtoparse: POS Tagging and Parsing the Twitterverse},
  author={Foster, Jennifer and Cetinoglu, Ozlem and Wagner, Joachim and Le Roux, Joseph and Hogan, Stephen and Nivre, Joakim and Hogan, Deirdre and Van Genabith, Josef},
  booktitle={Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence},
  year={2011}
}

@inproceedings{derczynski2013twitter,
  title={Twitter part-of-speech tagging for all: Overcoming sparse and noisy data},
  author={Derczynski, Leon and Ritter, Alan and Clark, Sam and Bontcheva, Kalina},
  booktitle={Proceedings of the international conference recent advances in natural language processing ranlp 2013},
  pages={198--206},
  year={2013}
}

```


### Contributions

Author uploaded ([@leondz](https://github.com/leondz))
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:en license:cc-by-4.0 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["part-of-speech"], "paperswithcode_id": "ritter-pos", "pretty_name": "Twitter Part-of-speech"}
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-English #license-cc-by-4.0 #region-us 

Dataset Card for "twitter-pos"
==============================


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: URL
* Repository: URL
* Paper: URL
* Point of Contact: Leon Derczynski
* Size of downloaded dataset files: 51.96 MiB
* Size of the generated dataset: 251.22 KiB
* Total amount of disk used: 52.05 MB


### Dataset Summary


Part-of-speech information is basic NLP task. However, Twitter text
is difficult to part-of-speech tag: it is noisy, with linguistic errors and idiosyncratic style.
This dataset contains two datasets for English PoS tagging for tweets:


* Ritter, with train/dev/test
* Foster, with dev/test


Splits defined in the Derczynski paper, but the data is from Ritter and Foster.


* Ritter: URL
* Foster: URL


### Supported Tasks and Leaderboards


* Part of speech tagging on Ritter


### Languages


English, non-region-specific. 'bcp47:en'


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


### Data Instances


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### twitter-pos


* 'id': a 'string' feature.
* 'tokens': a 'list' of 'string' features.
* 'pos\_tags': a 'list' of classification labels ('int'). Full tagset with indices:


### Data Splits



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


Author uploaded (@leondz)



### Dataset Summary


Part-of-speech information is basic NLP task. However, Twitter text
is difficult to part-of-speech tag: it is noisy, with linguistic errors and idiosyncratic style.
This dataset contains two datasets for English PoS tagging for tweets:


* Ritter, with train/dev/test
* Foster, with dev/test


Splits defined in the Derczynski paper, but the data is from Ritter and Foster.


* Ritter: URL
* Foster: URL ### Supported Tasks and Leaderboards


* Part of speech tagging on Ritter ### Languages


English, non-region-specific. 'bcp47:en'


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


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### twitter-pos


* 'id': a 'string' feature.
* 'tokens': a 'list' of 'string' features.
* 'pos\_tags': a 'list' of classification labels ('int'). Full tagset with indices: ### Data Splits



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


Author uploaded (@leondz)
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-English #license-cc-by-4.0 #region-us 
 ### Dataset Summary


Part-of-speech information is basic NLP task. However, Twitter text
is difficult to part-of-speech tag: it is noisy, with linguistic errors and idiosyncratic style.
This dataset contains two datasets for English PoS tagging for tweets:


* Ritter, with train/dev/test
* Foster, with dev/test


Splits defined in the Derczynski paper, but the data is from Ritter and Foster.


* Ritter: URL
* Foster: URL ### Supported Tasks and Leaderboards


* Part of speech tagging on Ritter ### Languages


English, non-region-specific. 'bcp47:en'


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


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### twitter-pos


* 'id': a 'string' feature.
* 'tokens': a 'list' of 'string' features.
* 'pos\_tags': a 'list' of classification labels ('int'). Full tagset with indices: ### Data Splits



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


Author uploaded (@leondz)
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-English #license-cc-by-4.0 #region-us 
### Dataset Summary


Part-of-speech information is basic NLP task. However, Twitter text
is difficult to part-of-speech tag: it is noisy, with linguistic errors and idiosyncratic style.
This dataset contains two datasets for English PoS tagging for tweets:


* Ritter, with train/dev/test
* Foster, with dev/test


Splits defined in the Derczynski paper, but the data is from Ritter and Foster.


* Ritter: URL
* Foster: URL### Supported Tasks and Leaderboards


* Part of speech tagging on Ritter### Languages


English, non-region-specific. 'bcp47:en'


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


An example of 'train' looks as follows.### Data Fields


The data fields are the same among all splits.#### twitter-pos


* 'id': a 'string' feature.
* 'tokens': a 'list' of 'string' features.
* 'pos\_tags': a 'list' of classification labels ('int'). Full tagset with indices:### Data Splits



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


Author uploaded (@leondz)