BAREC Treebank v1.0
Corpus Summary
BAREC-TB is the first dependency treebank of Arabic children’s literature and educational texts. It consists of 156K words selected from the Foundational subset of the BAREC Corpus. It is annotated according to the Columbia Arabic Treebank (CATiB) dependency representation.
Languages
- Arabic (Modern Standard Arabic)
Corpus Details
The structure of this repository is as follows:
.
├── Data/
│ ├── BAREC_TB_metadata.xlsx
│ ├── BAREC_TB_conllx.zip
│ ├── BAREC_TB_splits_conllx.zip
└── README.md
Metadata
The metadata file contains the following fields:
- File: Document file name (conllx extension)
- Source: Document source
- Book: Book title
- Author: Author name
- Domain:
Arts & Humanities,Social Sciences, orSTEM - Readership Level:
Foundational - Sentence Count: Number of sentences in the document
- Word Count: Number of words in the document
- Token Count: Number of tokens in the document
- Split:
Train,DevorTest
Annotated Files
The corpus includes 320 files annotated in CATiB style.
The files are available at: Data/BAREC_TB_conllx.zip.
Splits
We combine all Train, Dev, and Test documents into one file per split.
You can use these files to replecate our parsing expirments.
The split-level files are available at: Data/BAREC_TB_splits_conllx.zip.
Our trained parsers are available here.
Usage
You can download the files manually using the Hub’s user interface, or use snapshot_download to download all files at once.
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="CAMeL-Lab/BAREC-TB",
repo_type="dataset",
local_dir="path/to/local/dir",
allow_patterns=["Data/*"]
)
Citation
If you use BAREC-TB in your work, please cite the following paper:
@inproceedings{elmadani-etal-2026-barec-tb,
title = {BAREC-TB: A Dependency Treebank and Parsing Benchmark for Arabic Children’s Texts},
author = {Elmadani, Khalid N. and Adel, Mohamed and AbuOdeh, Muhammed and Faraj, Reem and El-Gizuli, Jamila and Taha-Thomure, Hanada and Habash, Nizar},
booktitle = {Proceedings of The Fourth {A}rabic Natural Language Processing Conference},
month = {October},
year = {2026},
address = {Budapest, Hungary},
publisher = {Association for Computational Linguistics}
}
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