Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
| 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-* | |
| # 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. |