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---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- ar
- bg
- ca
- cs
- da
- de
- el
- en
- es
- et
- fa
- fi
- fr
- he
- hi
- hr
- hu
- id
- it
- ja
- ko
- lt
- lv
- ms
- nl
- 'no'
- pl
- pt
- ro
- ru
- sk
- sl
- sr
- sv
- th
- tl
- tr
- uk
- vi
- zh
license:
- unknown
multilinguality:
- multilingual
pretty_name: Polyglot-NER
size_categories:
- unknown
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: polyglot-ner
dataset_info:
- config_name: ca
  features:
  - name: id
    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 143746026
    num_examples: 372665
  download_size: 1107018606
  dataset_size: 143746026
- config_name: de
  features:
  - name: id
    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 156744752
    num_examples: 547578
  download_size: 1107018606
  dataset_size: 156744752
- config_name: es
  features:
  - name: id
    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 145387551
    num_examples: 386699
  download_size: 1107018606
  dataset_size: 145387551
- config_name: fi
  features:
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    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 95175890
    num_examples: 387465
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  dataset_size: 95175890
- config_name: hi
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    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
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  download_size: 1107018606
  dataset_size: 177698330
- config_name: id
  features:
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  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 152560050
    num_examples: 463862
  download_size: 1107018606
  dataset_size: 152560050
- config_name: ko
  features:
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    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
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  dataset_size: 174523416
- config_name: ms
  features:
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    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 155268778
    num_examples: 528181
  download_size: 1107018606
  dataset_size: 155268778
- config_name: pl
  features:
  - name: id
    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 159684112
    num_examples: 623267
  download_size: 1107018606
  dataset_size: 159684112
- config_name: ru
  features:
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    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 200717423
    num_examples: 551770
  download_size: 1107018606
  dataset_size: 200717423
- config_name: sr
  features:
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    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 183437513
    num_examples: 559423
  download_size: 1107018606
  dataset_size: 183437513
- config_name: tl
  features:
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    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 47104871
    num_examples: 160750
  download_size: 1107018606
  dataset_size: 47104871
- config_name: vi
  features:
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  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 141062258
    num_examples: 351643
  download_size: 1107018606
  dataset_size: 141062258
- config_name: ar
  features:
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    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 183551222
    num_examples: 339109
  download_size: 1107018606
  dataset_size: 183551222
- config_name: cs
  features:
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    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 156792129
    num_examples: 564462
  download_size: 1107018606
  dataset_size: 156792129
- config_name: el
  features:
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  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 195456401
    num_examples: 446052
  download_size: 1107018606
  dataset_size: 195456401
- config_name: et
  features:
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    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 21961619
    num_examples: 87023
  download_size: 1107018606
  dataset_size: 21961619
- config_name: fr
  features:
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  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 147560734
    num_examples: 418411
  download_size: 1107018606
  dataset_size: 147560734
- config_name: hr
  features:
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  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 154151689
    num_examples: 629667
  download_size: 1107018606
  dataset_size: 154151689
- config_name: it
  features:
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  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 147520094
    num_examples: 378325
  download_size: 1107018606
  dataset_size: 147520094
- config_name: lt
  features:
  - name: id
    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 165319919
    num_examples: 848018
  download_size: 1107018606
  dataset_size: 165319919
- config_name: nl
  features:
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    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 150737871
    num_examples: 520664
  download_size: 1107018606
  dataset_size: 150737871
- config_name: pt
  features:
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    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 145627857
    num_examples: 396773
  download_size: 1107018606
  dataset_size: 145627857
- config_name: sk
  features:
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    dtype: string
  - name: lang
    dtype: string
  - name: words
    sequence: string
  - name: ner
    sequence: string
  splits:
  - name: train
    num_bytes: 134174889
    num_examples: 500135
  download_size: 1107018606
  dataset_size: 134174889
- config_name: sv
  features:
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  - name: words
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  - name: ner
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  splits:
  - name: train
    num_bytes: 157058369
    num_examples: 634881
  download_size: 1107018606
  dataset_size: 157058369
- config_name: tr
  features:
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  - name: words
    sequence: string
  - name: ner
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  splits:
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    num_bytes: 164456506
    num_examples: 607324
  download_size: 1107018606
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- config_name: zh
  features:
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    dtype: string
  - name: words
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  - name: ner
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---

# Dataset Card for Polyglot-NER

## 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://sites.google.com/site/rmyeid/projects/polylgot-ner](https://sites.google.com/site/rmyeid/projects/polylgot-ner)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 45.39 GB
- **Size of the generated dataset:** 12.54 GB
- **Total amount of disk used:** 57.93 GB

### Dataset Summary

Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.

### Supported Tasks and Leaderboards

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

### Languages

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

## Dataset Structure

### Data Instances

#### ar

- **Size of downloaded dataset files:** 1.11 GB
- **Size of the generated dataset:** 183.55 MB
- **Total amount of disk used:** 1.29 GB

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

{
    "id": "2",
    "lang": "ar",
    "ner": ["O", "O", "O", "O", "O", "O", "O", "O", "LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "PER", "PER", "PER", "PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"],
    "words": "[\"وفي\", \"مرحلة\", \"موالية\", \"أنشأت\", \"قبيلة\", \"مكناسة\", \"الزناتية\", \"مكناسة\", \"تازة\", \",\", \"وأقام\", \"بها\", \"المرابطون\", \"قلعة\", \"..."
}
```

#### bg

- **Size of downloaded dataset files:** 1.11 GB
- **Size of the generated dataset:** 190.51 MB
- **Total amount of disk used:** 1.30 GB

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

{
    "id": "1",
    "lang": "bg",
    "ner": ["O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"],
    "words": "[\"Дефиниция\", \"Наименованията\", \"\\\"\", \"книжовен\", \"\\\"/\\\"\", \"литературен\", \"\\\"\", \"език\", \"на\", \"български\", \"за\", \"тази\", \"кодифи..."
}
```

#### ca

- **Size of downloaded dataset files:** 1.11 GB
- **Size of the generated dataset:** 143.75 MB
- **Total amount of disk used:** 1.25 GB

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

{
    "id": "2",
    "lang": "ca",
    "ner": "[\"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O\", \"O...",
    "words": "[\"Com\", \"a\", \"compositor\", \"deixà\", \"un\", \"immens\", \"llegat\", \"que\", \"inclou\", \"8\", \"simfonies\", \"(\", \"1822\", \"),\", \"diverses\", ..."
}
```

#### combined

- **Size of downloaded dataset files:** 1.11 GB
- **Size of the generated dataset:** 6.29 GB
- **Total amount of disk used:** 7.39 GB

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

{
    "id": "18",
    "lang": "es",
    "ner": ["O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"],
    "words": "[\"Los\", \"cambios\", \"en\", \"la\", \"energía\", \"libre\", \"de\", \"Gibbs\", \"\\\\\", \"Delta\", \"G\", \"nos\", \"dan\", \"una\", \"cuantificación\", \"de..."
}
```

#### cs

- **Size of downloaded dataset files:** 1.11 GB
- **Size of the generated dataset:** 156.79 MB
- **Total amount of disk used:** 1.26 GB

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

{
    "id": "3",
    "lang": "cs",
    "ner": ["O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"],
    "words": "[\"Historie\", \"Symfonická\", \"forma\", \"se\", \"rozvinula\", \"se\", \"především\", \"v\", \"období\", \"klasicismu\", \"a\", \"romantismu\", \",\", \"..."
}
```

### Data Fields

The data fields are the same among all splits.

#### ar
- `id`: a `string` feature.
- `lang`: a `string` feature.
- `words`: a `list` of `string` features.
- `ner`: a `list` of `string` features.

#### bg
- `id`: a `string` feature.
- `lang`: a `string` feature.
- `words`: a `list` of `string` features.
- `ner`: a `list` of `string` features.

#### ca
- `id`: a `string` feature.
- `lang`: a `string` feature.
- `words`: a `list` of `string` features.
- `ner`: a `list` of `string` features.

#### combined
- `id`: a `string` feature.
- `lang`: a `string` feature.
- `words`: a `list` of `string` features.
- `ner`: a `list` of `string` features.

#### cs
- `id`: a `string` feature.
- `lang`: a `string` feature.
- `words`: a `list` of `string` features.
- `ner`: a `list` of `string` features.

### Data Splits

| name     |    train |
|----------|---------:|
| ar       |   339109 |
| bg       |   559694 |
| ca       |   372665 |
| combined | 21070925 |
| cs       |   564462 |

## 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

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

### Citation Information

```
@article{polyglotner,
         author = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven},
         title = {{Polyglot-NER}: Massive Multilingual Named Entity Recognition},
         journal = {{Proceedings of the 2015 {SIAM} International Conference on Data Mining, Vancouver, British Columbia, Canada, April 30- May 2, 2015}},
         month     = {April},
         year      = {2015},
         publisher = {SIAM},
}

```


### Contributions

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