| | --- |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: Dialect2SQL |
| | path: Dialect2SQL.csv |
| | - split: train |
| | path: train.csv |
| | - split: validation |
| | path: validation.csv |
| | - split: test |
| | path: test.csv |
| | task_categories: |
| | - text-generation |
| | - translation |
| | language: |
| | - en |
| | - ar |
| | tags: |
| | - text-to-sql |
| | - question-to-sql |
| | - nlq-to-sql |
| | - SQL |
| | - english-to-sql |
| | - low-resource-languages |
| | - darija |
| | - Arabic-dialect |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # Dialect2SQL |
| |
|
| | ## Dataset Description |
| |
|
| | **Dialect2SQL** is a novel dataset designed for the **Text-to-SQL** task in **Arabic dialects**, with a particular focus on **Moroccan Darija**. |
| | It provides natural language questions written in Darija, paired with corresponding SQL queries and database schemas. |
| | The dataset enables research on **low-resource natural language interfaces to databases (NLIDB)** in non-standard Arabic varieties. |
| |
|
| | --- |
| |
|
| | ## Dataset Summary |
| |
|
| | Dialect2SQL aims to bridge the gap between Arabic dialects and structured query understanding. |
| | The dataset consists of manually and semi-automatically curated **Darija–SQL** pairs mapped to realistic database schemas spanning multiple domains (e.g., education, e-commerce, banking, and transportation). |
| | Each entry contains: |
| | - a **Darija** question (`darija_question`) |
| | - an optional **English translation** (`en_question`) |
| | - the **SQL query** (`sql`) |
| | - the **database schema** (`db_schema`) |
| | - the **database name** (`db_id`) |
| |
|
| | --- |
| |
|
| | ## Supported Tasks and Leaderboards |
| |
|
| | ### Task: Text-to-SQL / NLQ-to-SQL |
| |
|
| | Given a natural language question written in **Darija (Moroccan Arabic)**, the goal is to generate the correct **SQL query** that retrieves the requested information. |
| |
|
| | **Example Task:** |
| |
|
| | | Field | Example | |
| | |-------|----------| |
| | | `darija_question` | شحال من تلميذ عندو أكثر من 15 ف الرياضيات؟ | |
| | | `en_question` | How many students scored more than 15 in mathematics? | |
| | | `sql` | SELECT COUNT(*) FROM Grades WHERE subject = 'Mathematics' AND grade > 15; | |
| | | `db_schema` | CREATE TABLE Grades(student_id number, subject varchar, grade real); | |
| | | `db_id` | School_DB | |
| | |
| | --- |
| | |
| | ## Languages |
| | |
| | - **Darija (Moroccan Arabic)** — primary source language |
| | - **English** — provided for reference and cross-lingual studies |
| | |
| | --- |
| | |
| | ## Data Splits |
| | |
| | | Split | Size (approx.) | Description | |
| | |-------|----------------|-------------| |
| | | `train` | ~7,000 | Main training set | |
| | | `validation` | ~1,000 | Development split | |
| | | `test` | ~1,000 | Evaluation split | |
| | | `Dialect2SQL` | full dataset | Combined dataset file | |
| | |
| | --- |
| | |
| | ## Dataset Structure |
| | |
| | Each row in the dataset includes: |
| | |
| | | Column | Description | |
| | |---------|--------------| |
| | | `db_id` | Database identifier | |
| | | `db_schema` | SQL table definitions | |
| | | `darija_question` | Question in Moroccan Darija | |
| | | `en_question` | English translation (optional) | |
| | | `sql` | Target SQL query | |
| | |
| | --- |
| | |
| | ## Use Cases |
| | |
| | - Fine-tuning **text-to-SQL models** for Arabic dialects |
| | - Research on **multilingual and dialectal NLIDB systems** |
| | - **Cross-lingual transfer learning** for SQL understanding |
| | - Evaluating **low-resource adaptation** of code LLMs (e.g., Qwen, StarCoder, Codex) |
| | |
| | --- |
| | |
| | ## Limitations |
| | |
| | - The dataset currently focuses on **Moroccan Darija**, and performance may not generalize to other Arabic dialects. |
| | - Some questions are written using **Arabic script**, while others mix **Latin characters** (Arabizi), reflecting real user input diversity. |
| | - SQL coverage is limited to **single-domain, schema-bounded** tasks. |
| | |
| | --- |
| | |
| | ## Citation |
| | |
| | If you use this dataset, please cite the following paper: |
| | |
| | ```bibtex |
| | @inproceedings{chafik2025dialect2sql, |
| | title={Dialect2SQL: A Novel Text-to-SQL Dataset for Arabic Dialects with a Focus on Moroccan Darija}, |
| | author={Chafik, Salmane and Ezzini, Saad and Berrada, Ismail}, |
| | booktitle={Proceedings of the 4th Workshop on Arabic Corpus Linguistics (WACL-4)}, |
| | pages={86--92}, |
| | year={2025} |
| | } |
| | |
| | @article{10.1145/3787497, |
| | author = {Chafik, Salmane and Ezzini, Saad and Berrada, Ismail}, |
| | title = {DarijaDB: Unlocking Text-to-SQL for Arabic Dialects}, |
| | year = {2026}, |
| | publisher = {Association for Computing Machinery}, |
| | address = {New York, NY, USA}, |
| | issn = {2375-4699}, |
| | url = {https://doi.org/10.1145/3787497}, |
| | doi = {10.1145/3787497}, |
| | journal = {ACM Trans. Asian Low-Resour. Lang. Inf. Process.}, |
| | month = jan |
| | } |
| | |
