Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
10K - 100K
License:
init
Browse files
README.md
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# Dataset Card for "tner/conll2003"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 4.63 MB
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- **Size of the generated dataset:** 9.78 MB
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- **Total amount of disk used:** 14.41 MB
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### Dataset Summary
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The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on
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four types of named entities: persons, locations, organizations and names of miscellaneous entities that do
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not belong to the previous three groups.
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The CoNLL-2003 shared task data files contain four columns separated by a single space. Each word has been put on
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a separate line and there is an empty line after each sentence. The first item on each line is a word, the second
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a part-of-speech (POS) tag, the third a syntactic chunk tag and the fourth the named entity tag. The chunk tags
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and the named entity tags have the format I-TYPE which means that the word is inside a phrase of type TYPE. Only
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if two phrases of the same type immediately follow each other, the first word of the second phrase will have tag
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B-TYPE to show that it starts a new phrase. A word with tag O is not part of a phrase. Note the dataset uses IOB2
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tagging scheme, whereas the original dataset uses IOB1.
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For more details see https://www.clips.uantwerpen.be/conll2003/ner/ and https://www.aclweb.org/anthology/W03-0419
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### Supported Tasks and Leaderboards
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Languages
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Dataset Structure
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### Data Instances
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#### conll2003
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- **Size of downloaded dataset files:** 4.63 MB
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- **Size of the generated dataset:** 9.78 MB
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- **Total amount of disk used:** 14.41 MB
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An example of 'train' looks as follows.
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```
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{
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'tokens': [0, 0, 5, 0, 0, 0, 0, 3, 0, 0, 0, 0]
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}
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```
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### Data Fields
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The data fields are the same among all splits.
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#### conll2003
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- `id`: a `string` feature.
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- `tokens`: a `list` of `string` features.
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- `pos_tags`: a `list` of classification labels (`int`). Full tagset with indices:
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```python
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{
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'B-LST': 9, 'I-LST': 10, 'B-NP': 11, 'I-NP': 12, 'B-PP': 13, 'I-PP': 14, 'B-PRT': 15, 'I-PRT': 16, 'B-SBAR': 17,
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'I-SBAR': 18, 'B-UCP': 19, 'I-UCP': 20, 'B-VP': 21, 'I-VP': 22}
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```
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- `ner_tags`: a `list` of classification labels (`int`). Full tagset with indices:
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```python
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{'O': 0, 'B-PER': 1, 'I-PER': 2, 'B-ORG': 3, 'I-ORG': 4, 'B-LOC': 5, 'I-LOC': 6, 'B-MISC': 7, 'I-MISC': 8}
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```
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### Data Splits
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|conll2003|14041| 3250|3453|
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## Dataset Creation
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### Curation Rationale
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the source language producers?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Annotations
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#### Annotation process
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the annotators?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Personal and Sensitive Information
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Discussion of Biases
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Other Known Limitations
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Additional Information
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### Dataset Curators
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Licensing Information
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From the [CoNLL2003 shared task](https://www.clips.uantwerpen.be/conll2003/ner/) page:
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```
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@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
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title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
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author = "Tjong Kim Sang, Erik F.
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De Meulder, Fien",
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booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003",
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year = "2003",
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url = "https://www.aclweb.org/anthology/W03-0419",
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pages = "142--147",
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}
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```
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### Contributions
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Thanks to [@jplu](https://github.com/jplu), [@vblagoje](https://github.com/vblagoje), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
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# Dataset Card for "tner/conll2003"
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## Dataset Description
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- **Repository:** [T-NER](https://github.com/asahi417/tner)
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- **Paper:** [https://www.aclweb.org/anthology/W03-0419/](https://www.aclweb.org/anthology/W03-0419/)
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### Dataset Summary
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CoNLL-2003 NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project.
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## Dataset Structure
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### Data Instances
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An example of `train` looks as follows.
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```
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{
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'tokens': [0, 0, 5, 0, 0, 0, 0, 3, 0, 0, 0, 0]
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}
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```
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### Label ID
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The label2id dictionary can be found at [here](https://huggingface.co/datasets/tner/conll2003/raw/main/dataset/label.json).
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```python
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{
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"O": 0,
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"B-ORG": 1,
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"B-MISC": 2,
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"B-PER": 3,
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"I-PER": 4,
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"B-LOC": 5,
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"I-ORG": 6,
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"I-MISC": 7,
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"I-LOC": 8
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}
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```
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### Data Splits
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|---------|----:|---------:|---:|
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|conll2003|14041| 3250|3453|
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### Licensing Information
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From the [CoNLL2003 shared task](https://www.clips.uantwerpen.be/conll2003/ner/) page:
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```
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@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
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title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
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author = "Tjong Kim Sang, Erik F. and De Meulder, Fien",
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booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003",
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year = "2003",
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url = "https://www.aclweb.org/anthology/W03-0419",
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pages = "142--147",
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}
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```
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