Data · dataset · 2023
WiHArD: Wikipedia based Hierarchical Arabic Dataset
Listed in Teesside University Research Data Repository
WiHArD (Wikipedia based Hierarchical Arabic Dataset) is a hierarchical Arabic dataset of 6027 texts extracted from Wikipedia Web site.
Description
WiHArD is structured into three "level 1" classes and nine "level 2" classes: • "Level 1" classes are Culture (ثقافة), History (تاريخ) and Math (رياضيات). Texts in this level describe general notions related to these domains. • "Level 2" classes are Clothes (ملابس), Food_drinks (طعام و شراب), Tourism (سياحة), Events (أحداث), Inventions (اختراعات), Monuments (أثار), Algebra (جبر), Analysis (تحليل) and Geometry (هندسة).
Texts in this level describe specific notions related to these sub-domains. Four files are shared for the benefit of the NLP and IA communities, especially researchers working on Arabic language: 1. WiHArD_Directory_Hierarchy.zip contains the directory hierarchy. 2.
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WiHArD.csv, a CSV file of three columns: "text" column contains the Arabic texts; "category_path" and "category_code" columns contain respectively the category path and the category code. 3. WiHArD_Level1.csv, a CSV file restricted to the texts the first level, namely Culture (ثقافة), History (تاريخ) and Math (رياضيات). 4. WiHArD_Level2.csv, a CSV file restricted to the texts of the second level, namely Clothes (ملابس), Food_drinks (طعام و شراب), Tourism (سياحة), Events (أحداث), Inventions (اختراعات), Monuments (أثار), Algebra (جبر), Analysis (تحليل) and Geometry (هندسة).
Links
Where it is published
- DOI doi.org/10.17632/kdkryh5rs2.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Artificial intelligence · Computer Science & AI · Deep learning · Earth & Environmental Science · Humanities · Machine learning · Natural language processing
- Inferred from text
- Text 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/kdkryh5rs2.2 | 15 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460208 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Natural Language Processing'] |
| concepts[field].anzsrc:field:461103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |