Datasets:
conllpp

	---
	annotations_creators:
	- expert-generated
	language_creators:
	- found
	language:
	- en
	license:
	- unknown
	multilinguality:
	- monolingual
	size_categories:
	- 10K<n<100K
	source_datasets:
	- extended\|conll2003
	task_categories:
	- token-classification
	task_ids:
	- named-entity-recognition
	paperswithcode_id: conll
	pretty_name: CoNLL++
	train-eval-index:
	- config: conllpp
	task: token-classification
	task_id: entity_extraction
	splits:
	train_split: train
	eval_split: test
	col_mapping:
	tokens: tokens
	ner_tags: tags
	metrics:
	- type: seqeval
	name: seqeval
	---

	# Dataset Card for "conllpp"

	## 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: [Github](https://github.com/ZihanWangKi/CrossWeigh)
	- Repository: [Github](https://github.com/ZihanWangKi/CrossWeigh)
	- Paper: [Aclweb](https://www.aclweb.org/anthology/D19-1519)
	- Leaderboard:
	- Point of Contact:

	### Dataset Summary

	CoNLLpp is a corrected version of the CoNLL2003 NER dataset where labels of 5.38% of the sentences in the test set
	have been manually corrected. The training set and development set from CoNLL2003 is included for completeness. One
	correction on the test set for example, is:

	```
	{
	"tokens": ["SOCCER", "-", "JAPAN", "GET", "LUCKY", "WIN", ",", "CHINA", "IN", "SURPRISE", "DEFEAT", "."],
	"original_ner_tags_in_conll2003": ["O", "O", "B-LOC", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O"],
	"corrected_ner_tags_in_conllpp": ["O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O"],
	}
	```

	### Supported Tasks and Leaderboards

	[More Information Needed]

	### Languages

	[More Information Needed]

	## Dataset Structure

	### Data Instances

	#### conllpp

	- Size of downloaded dataset files: 4.63 MB
	- Size of the generated dataset: 9.78 MB
	- Total amount of disk used: 14.41 MB

	An example of 'train' looks as follows.
	```
	This example was too long and was cropped:

	{
	"chunk_tags": [11, 12, 12, 21, 13, 11, 11, 21, 13, 11, 12, 13, 11, 21, 22, 11, 12, 17, 11, 21, 17, 11, 12, 12, 21, 22, 22, 13, 11, 0],
	"id": "0",
	"ner_tags": [0, 3, 4, 0, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
	"pos_tags": [12, 22, 22, 38, 15, 22, 28, 38, 15, 16, 21, 35, 24, 35, 37, 16, 21, 15, 24, 41, 15, 16, 21, 21, 20, 37, 40, 35, 21, 7],
	"tokens": ["The", "European", "Commission", "said", "on", "Thursday", "it", "disagreed", "with", "German", "advice", "to", "consumers", "to", "shun", "British", "lamb", "until", "scientists", "determine", "whether", "mad", "cow", "disease", "can", "be", "transmitted", "to", "sheep", "."]
	}
	```

	### Data Fields

	The data fields are the same among all splits.

	#### conllpp
	- `id`: a `string` feature.
	- `tokens`: a `list` of `string` features.
	- `pos_tags`: a `list` of classification labels, with possible values including `"` (0), `''` (1), `#` (2), `$` (3), `(` (4).
	- `chunk_tags`: a `list` of classification labels, with possible values including `O` (0), `B-ADJP` (1), `I-ADJP` (2), `B-ADVP` (3), `I-ADVP` (4).
	- `ner_tags`: a `list` of classification labels, with possible values including `O` (0), `B-PER` (1), `I-PER` (2), `B-ORG` (3), `I-ORG` (4).

	### Data Splits

	\| name \|train\|validation\|test\|
	\|---------\|----:\|---------:\|---:\|
	\|conll2003\|14041\| 3250\|3453\|

	## 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

	[More Information Needed]

	### Contributions

	Thanks to [@ZihanWangKi](https://github.com/ZihanWangKi) for adding this dataset.