token
stringlengths
1
13
ner_tag
class label
21 classes
الجامع
1Book
المسند
1Book
الصحيح
1Book
المختصر
1Book
من
1Book
أمور
1Book
رسول
1Book
الله
1Book
صلى
1Book
الله
1Book
عليه
1Book
وسلم
1Book
وسننه
1Book
وأيامه
1Book
صحيح
1Book
البخاري
1Book
المؤلف
13O
محمد
16Pers
بن
16Pers
إسماعيل
16Pers
أبو
16Pers
عبد
16Pers
الله
16Pers
البخاري
16Pers
الجعفي
16Pers
المحقق
13O
محمد
16Pers
زهير
16Pers
بن
16Pers
ناصر
16Pers
الناصر
16Pers
الناشر
13O
دار
14Org
طوق
14Org
النجاة
14Org
مصورة
13O
عن
13O
السلطانية
13O
بإضافة
13O
ترقيم
13O
ترقيم
13O
محمد
16Pers
فؤاد
16Pers
عبد
16Pers
الباقي
16Pers
الطبعة
13O
الأولى
13O
1422
4Date
ه
13O
عدد
13O
الأجزاء
13O
9
12Number
ترقيم
13O
الكتاب
13O
موافق
13O
للمطبوع
13O
وهو
13O
ضمن
13O
خدمة
13O
التخريج
13O
ومتن
13O
مرتبط
13O
بشرحه
13O
مع
13O
الكتاب
13O
شرح
13O
وتعليق
13O
د
13O
مصطفى
16Pers
ديب
16Pers
البغا
16Pers
أستاذ
13O
الحديث
13O
وعلومه
13O
في
13O
كلية
14Org
الشريعة
14Org
جامعة
14Org
دمشق
14Org
كالتالي
13O
رقم
13O
الحديث
13O
والجزء
13O
والصفحة
13O
في
13O
ط
13O
البغا
16Pers
يليه
13O
تعليقه
13O
ثم
13O
أطرافه
13O
مقدمة
13O
د
13O
مصطفى
16Pers
البغا
16Pers
بسم
13O
الله
0Allah
الرحمن
0Allah
الرحيم
0Allah
الحمد
13O

Dataset Card for CANER

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 for adding this dataset.

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