Datasets:

strombergnlp
/

twitter_pos_vcb

	---
	annotations_creators:
	- machine-generated
	language_creators:
	- found
	language:
	- en
	license:
	- cc-by-4.0
	multilinguality:
	- monolingual
	size_categories:
	- 1M<n<10M
	source_datasets:
	- original
	task_categories:
	- token-classification
	task_ids:
	- part-of-speech
	paperswithcode_id: twitter-pos-vcb
	pretty_name: Twitter PoS VCB
	---

	# Dataset Card for "twitter-pos-vcb"

	## 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.pdf](https://aclanthology.org/R13-1026.pdf)
	- Point of Contact: [Leon Derczynski](https://github.com/leondz)
	- Size of downloaded dataset files: 4.51 MiB
	- Size of the generated dataset: 26.88 MB
	- Total amount of disk used: 31.39 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 data is the vote-constrained bootstrapped data generate to support state-of-the-art results.

	The data is about 1.5 million English tweets annotated for part-of-speech using Ritter's extension of the PTB tagset.
	The tweets are from 2012 and 2013, tokenized using the GATE tokenizer and tagged
	jointly using the CMU ARK tagger and Ritter's T-POS tagger. Only when both these taggers' outputs
	are completely compatible over a whole tweet, is that tweet added to the dataset.

	This data is recommend for use a training data only, and not evaluation data.

	For more details see https://gate.ac.uk/wiki/twitter-postagger.html and https://aclanthology.org/R13-1026.pdf

	### Supported Tasks and Leaderboards

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

	### 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_vcb
	- `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\|
	\|---------\|----:\|---------:\|
	\|twitter-pos-vcb\|1 543 126\| 159 492\|

	## 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

	Creative Commons Attribution 4.0 (CC-BY)

	### Citation Information

	```
	@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))