Synctic/uae-sales-table-qa

🇦🇪 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.

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📂 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

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🧩 Schema

{
  "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"
}

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💻 How to Load

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

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⚙️ 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/.

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📊 Dataset Stats

Property	Value
Language	Arabic 🇦🇪
Domain	Sales / Business Analytics
Entries	~6,300
Source CSVs	21
Format	JSON (UTF-8, human-readable)

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🔖 License

CC-BY-4.0 — You are free to use, modify, and share this dataset with proper attribution.

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📬 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}
}

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🌟 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.