
# Dataset Card for CANER

## 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:** 
- **Repository:** [Classical-Arabic-Named-Entity-Recognition-Corpus](https://github.com/RamziSalah)
- **Paper:** [Researchgate](https://www.researchgate.net/publication/330075080_BUILDING_THE_CLASSICAL_ARABIC_NAMED_ENTITY_RECOGNITION_CORPUS_CANERCORPUS)
- **Leaderboard:**
- **Point of Contact:** 

### Dataset Summary

The Classical Arabic Named Entity Recognition corpus is a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities.

### Supported Tasks and Leaderboards

- Named Entity Recognition

### Languages

Classical Arabic

## Dataset Structure

### Data Instances

An example from the dataset:
```
{'ner_tag': 1, 'token': 'الجامع'}
```
Where 1 stands for "Book"

### Data Fields

- `id`: id of the sample
 - `token`: the tokens of the example text
 - `ner_tag`: the NER tags of each token

The NER tags correspond to this list:
 ```
"Allah",
"Book",
"Clan",
"Crime",
"Date",
"Day",
"Hell",
"Loc",
"Meas",
"Mon",
"Month",
"NatOb",
"Number",
"O",
"Org",
"Para",
"Pers",
"Prophet",
"Rlig",
"Sect",
"Time"
 ```

### Data Splits

Training splits only

## 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?

Ramzi Salah and Lailatul Qadri Zakaria

### 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

[More Information Needed]

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

@article{article,
author = {Salah, Ramzi and Zakaria, Lailatul},
year = {2018},
month = {12},
pages = {},
title = {BUILDING THE CLASSICAL ARABIC NAMED ENTITY RECOGNITION CORPUS (CANERCORPUS)},
volume = {96},
journal = {Journal of Theoretical and Applied Information Technology}
}

### Contributions

Thanks to [@KMFODA](https://github.com/KMFODA) for adding this dataset.
task_categories:token-classification task_ids:named-entity-recognition annotations_creators:expert-generated language_creators:expert-generated multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:ar license:unknown region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["ar"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "CANER", "dataset_info": {"features": [{"name": "token", "dtype": "string"}, {"name": "ner_tag", "dtype": {"class_label": {"names": {"0": "Allah", "1": "Book", "2": "Clan", "3": "Crime", "4": "Date", "5": "Day", "6": "Hell", "7": "Loc", "8": "Meas", "9": "Mon", "10": "Month", "11": "NatOb", "12": "Number", "13": "O", "14": "Org", "15": "Para", "16": "Pers", "17": "Prophet", "18": "Rlig", "19": "Sect", "20": "Time"}}}}], "splits": [{"name": "train", "num_bytes": 5095617, "num_examples": 258240}], "download_size": 1459014, "dataset_size": 5095617}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Arabic #license-unknown #region-us 


# Dataset Card for CANER

## 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: 
- Repository: Classical-Arabic-Named-Entity-Recognition-Corpus
- Paper: Researchgate
- Leaderboard:
- Point of Contact: 

### Dataset Summary

The Classical Arabic Named Entity Recognition corpus is a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities.

### Supported Tasks and Leaderboards

- Named Entity Recognition

### Languages

Classical Arabic

## Dataset Structure

### Data Instances

An example from the dataset:

Where 1 stands for "Book"

### Data Fields

- 'id': id of the sample
 - 'token': the tokens of the example text
 - 'ner_tag': the NER tags of each token

The NER tags correspond to this list:
 

### Data Splits

Training splits only

## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?

Ramzi Salah and Lailatul Qadri Zakaria

### 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





@article{article,
author = {Salah, Ramzi and Zakaria, Lailatul},
year = {2018},
month = {12},
pages = {},
title = {BUILDING THE CLASSICAL ARABIC NAMED ENTITY RECOGNITION CORPUS (CANERCORPUS)},
volume = {96},
journal = {Journal of Theoretical and Applied Information Technology}
}

### Contributions

Thanks to @KMFODA for adding this dataset.
# Dataset Card for CANER ## 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: 
- Repository: Classical-Arabic-Named-Entity-Recognition-Corpus
- Paper: Researchgate
- Leaderboard:
- Point of Contact: ### Dataset Summary

The Classical Arabic Named Entity Recognition corpus is a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities. ### Supported Tasks and Leaderboards

- Named Entity Recognition ### Languages

Classical Arabic ## Dataset Structure ### Data Instances

An example from the dataset:

Where 1 stands for "Book" ### Data Fields

- 'id': id of the sample
 - 'token': the tokens of the example text
 - 'ner_tag': the NER tags of each token

The NER tags correspond to this list: ### Data Splits

Training splits only ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators?

Ramzi Salah and Lailatul Qadri Zakaria ### 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





@article{article,
author = {Salah, Ramzi and Zakaria, Lailatul},
year = {2018},
month = {12},
pages = {},
title = {BUILDING THE CLASSICAL ARABIC NAMED ENTITY RECOGNITION CORPUS (CANERCORPUS)},
volume = {96},
journal = {Journal of Theoretical and Applied Information Technology}
} ### Contributions

Thanks to @KMFODA for adding this dataset.
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Arabic #license-unknown #region-us 
 # Dataset Card for CANER ## 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: 
- Repository: Classical-Arabic-Named-Entity-Recognition-Corpus
- Paper: Researchgate
- Leaderboard:
- Point of Contact: ### Dataset Summary

The Classical Arabic Named Entity Recognition corpus is a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities. ### Supported Tasks and Leaderboards

- Named Entity Recognition ### Languages

Classical Arabic ## Dataset Structure ### Data Instances

An example from the dataset:

Where 1 stands for "Book" ### Data Fields

- 'id': id of the sample
 - 'token': the tokens of the example text
 - 'ner_tag': the NER tags of each token

The NER tags correspond to this list: ### Data Splits

Training splits only ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators?

Ramzi Salah and Lailatul Qadri Zakaria ### 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





@article{article,
author = {Salah, Ramzi and Zakaria, Lailatul},
year = {2018},
month = {12},
pages = {},
title = {BUILDING THE CLASSICAL ARABIC NAMED ENTITY RECOGNITION CORPUS (CANERCORPUS)},
volume = {96},
journal = {Journal of Theoretical and Applied Information Technology}
} ### Contributions

Thanks to @KMFODA for adding this dataset.