abhibambhaniya/WolframAlpha_API_Questions
WolframAlpha_API_Questions A curated collection of 276 mathematical, scientific and general‑knowledge questions that can be sent a queries to the Wolfram|Alpha API.The dataset is released under an MIT License and is hosted on Hugging Face for easy reuse in research, education and application development. Repository URL: https://huggingface.co/datasets/abhibambhaniya/WolframAlpha_API_QuestionsLicense: MIT Dataset Contents id,category,sub_category,question,answer… See the full description on the dataset page: https://huggingface.co/datasets/abhibambhaniya/WolframAlpha_API_Questions.
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1# WolframAlpha_API_Questions2 3A curated collection of 276 mathematical, scientific and general‑knowledge questions that can be sent a queries to the [Wolfram|Alpha API](https://products.wolframalpha.com/api). 4The dataset is released under an **MIT License** and is hosted on Hugging Face for easy reuse in research, education and application development.5 6> **Repository URL**: https://huggingface.co/datasets/abhibambhaniya/WolframAlpha_API_Questions 7> **License**: MIT8 9---10 11 12## Dataset Contents13 14```text15id,category,sub_category,question,answer161,Mathematics,Elementary Math,"What is 47 × 89?",4183172,Mathematics,Algebra,"Solve for x: 2x² – 4x + 1 = 0.",0.5,1.518...19276,Additional Domains (New Categories),Environmental Science – Carbon Footprint,"What is the annual carbon footprint of a household consuming 12,000 kWh?",??? 20```21 22> *Note*: The above is a truncated preview; the full file contains all 276 entries.23 24---25 26## Usage Examples27 28```python29from datasets import load_dataset30dataset = load_dataset("abhibambhaniya/WolframAlpha_API_Questions", data_files="wolfram_alpha_queries_full.csv")31import pandas as pd32 33# Convert the 'train' split to a Pandas DataFrame34df = dataset['train'].to_pandas()35 36# Display the head of the DataFrame37print(df.head())38```39 40---41 42## Dataset Overview43 44| Category | Sub‑Category | # Entries |45|----------|--------------|-----------|46| **Mathematics** | Elementary Math | 10 |47| | Algebra | 15 |48| | Calculus | 15 |49| | Geometry | 8 |50| | Linear Algebra | 7 |51| | Statistics | 10 |52| | Number Theory | 8 |53| | Plotting | 5 |54| | Boolean Algebra | 4 |55| | Sequences & Series | 12 |56| **Physics** | Mechanics | 8 |57| | Optics | 6 |58| | Quantum | 7 |59| | Electrical Circuits & Signal Equations | 9 |60| **Chemistry** | Elements | 6 |61| | Compounds | 7 |62| | Reactions | 9 |63| **Units & Conversions** | Length | 4 |64| | Temperature | 4 |65| | Speed | 4 |66| | Mass | 4 |67| | Calculations | 5 |68| | Digital Storage | 3 |69| | Energy | 6 |70| **Date & Time** | Current | 4 |71| | Information | 5 |72| | Duration | 3 |73| | Arithmetic | 4 |74| | Time Zones | 2 |75| | Unix Time | 3 |76| | Calendar | 6 |77| **Geography** | Countries | 5 |78| | Cities | 4 |79| | Distances | 3 |80| | Weather | 6 |81| **Economics** | Market | 4 |82| | Currency Exchange Rates | 3 |83| | Population | 2 |84| | GDP | 3 |85| | Compound Interest or ROI Computation | 6 |86| **Additional Domains (New Categories)** | Astronomy | 5 |87| | Engineering – Structural Calculations | 6 |88| | Computer Science – Algorithm Complexity | 4 |89| | Environmental Science – Carbon Footprint | 5 |90 91> **Total**: **276** entries92 93---94 95## License96 97This dataset is released under the **MIT License**. 98Feel free to use, modify, and distribute it for both academic and commercial purposes.99 100---101 102## Contributing103 104Contributions are welcome! 105- **Add new questions** (ensure they map cleanly to Wolfram|Alpha). 106- **Improve answers** or fix formatting errors. 107- Submit a pull request with your changes.108 109---110 111## Contact112 113- **Author**: Abhimanyu Bambhaniya114- **GitHub**: [abhibambhaniya](https://github.com/abhibambhaniya) 115- **Email**: abhibambhaniya@gmail.com116 117## Citation118If you use this dataset in a publication, please cite:119 120```121@dataset{WolframAlpha_API_Questions,122 author = {Bambhaniya, Abhimanyu},123 title = {{WolframAlpha\_API\_Questions}: A public dataset of math & science questions},124 year = {2025},125 publisher = {Hugging Face},126 version = {1.0},127 url = {https://huggingface.co/datasets/abhibambhaniya/WolframAlpha_API_Questions}128}129```