| --- |
| pretty_name: "UAE Sales Table QA (Arabic)" |
| license: cc-by-4.0 |
| language: |
| - ar |
| task_categories: |
| - question-answering |
| - table-question-answering |
| tags: |
| - pandas |
| - arabic |
| - table-reasoning |
| - data-analysis |
| - uae |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # 🇦🇪 UAE Sales Table QA (Arabic) |
|
|
| > ⚠️ **Note:** All data in this dataset is **synthetically generated** using random values for learning and experimentation purposes. It does **not** represent real-world business data. |
|
|
| ## 🧠 Overview |
| **UAE Sales Table QA (Arabic)** is an Arabic **Question–Answering dataset for table reasoning and data analysis**, generated from **21** UAE-style **CSV** tables. |
| Each example includes: |
|
|
| - **Question** — a natural-language query about the data |
| - **Steps** — human-readable reasoning steps describing the logic used to compute the answer |
| - **Answer** — the numeric result automatically calculated using pandas |
| - **Source_File** — the CSV file the example was computed from, for traceability |
| |
| This dataset covers operations like filtering, grouping, and aggregation, all verified using **pandas**. |
| |
| --- |
| |
| ## 📂 Files |
| | File | Description | |
| |------|-------------| |
| | `uae_qa_sales.json` | Full Q&A dataset (includes `Source_File` for linking) | |
| | `csvs/` | Folder containing the 21 source **CSV** files referenced by `Source_File` | |
|
|
| **Total Q&A items:** ~6,300 |
|
|
| --- |
|
|
| ## 🧩 Schema |
| ```json |
| { |
| "Question": "ما هو متوسط الإيراد في دبي؟", |
| "Steps": [ |
| "1. فلتر الصفوف بحيث تكون المدينة = 'دبي'.", |
| "2. اختر عمود 'الإيراد'.", |
| "3. احسب المتوسط." |
| ], |
| "Answer": "2766.62", |
| "Source_File": "csvs/sales_uae_7.csv" |
| } |
| ``` |
|
|
| --- |
|
|
| ## 💻 How to Load |
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("Synctic/uae-sales-table-qa", data_files="uae_qa_sales.json") |
| print(len(ds["train"])) # number of examples |
| print(ds["train"][0]) # first record |
| ``` |
|
|
| --- |
|
|
| ## ⚙️ Creation Process |
| 1. Multiple **synthetic CSV** tables were generated with random UAE-style sales data (cities, products, reps, dates). |
| 2. Ten base question templates covered averages, sums, min/max, and grouping logic; an additional template combined (city × product × year) to expand variations. |
| 3. Each CSV produced multiple Q&A variations. |
| 4. All answers were computed using **pandas** for accuracy. |
| 5. The **`Source_File`** field links every Q&A to its corresponding CSV file in `csvs/`. |
| |
| --- |
| |
| ## 📊 Dataset Stats |
| | Property | Value | |
| |-----------|--------| |
| | **Language** | Arabic 🇦🇪 | |
| | **Domain** | Sales / Business Analytics | |
| | **Entries** | ~6,300 | |
| | **Source CSVs** | 21 | |
| | **Format** | JSON (UTF-8, human-readable) | |
| |
| --- |
| |
| ## 🔖 License |
| **CC-BY-4.0** — You are free to use, modify, and share this dataset with proper attribution. |
| |
| --- |
| |
| ## 📬 Citation |
| If you use or reference this dataset, please cite it as: |
| |
| ``` |
| @dataset{AlYazidi2025_UAE_Sales_Table_QA, |
| author = {Saif Al-Yazidi}, |
| title = {UAE Sales Table QA (Arabic)}, |
| year = {2025}, |
| url = {https://huggingface.co/datasets/Synctic/uae-sales-table-qa} |
| } |
| ``` |
| |
| --- |
| |
| ## 🌟 Author & Acknowledgment |
| Created by **Saif Al-Yazidi (Synctic)** as a personal learning project on: |
| - **pandas** data manipulation |
| - **CSV** data generation |
| - **Arabic AI reasoning dataset creation** |
| |
| This project connects structured tabular data with natural-language reasoning — a foundation for future **Arabic AI reasoning** and **data analysis** research. |
| |
