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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- code |
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- not-for-all-audiences |
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--- |
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# SAT History Questions and Answers ๐๏ธ - Text Classification Dataset |
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This dataset contains a collection of questions and answers for the **SAT** Subject Test in **World History and US History**. Each question is accompanied by a corresponding answers and the correct response. |
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The dataset includes questions from various *topics, time periods, and regions* on both **World History and US History**. |
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# ๐ด For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=sat-history-questions-and-answers)** to buy the dataset |
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# Content |
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For each question, we extracted: |
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- **id**: number of the question, |
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- **subject**: SAT subject (**World History or US History**), |
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- **prompt**: text of the question, |
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- **A**: answer A, |
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- **B**: answer B, |
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- **C**: answer C, |
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- **D**: answer D, |
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- **E**: answer E, |
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- **answer**: letter of the correct answer to the question |
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# ๐ด Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=sat-history-questions-and-answers)** to discuss your requirements, learn about the price and buy the dataset |
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## **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=sat-history-questions-and-answers)** provides high-quality data annotation tailored to your needs |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/trainingdata-pro** |
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*keywords: answer questions, sat, gpa, university, school, exam, college, web scraping, parsing, online database, text dataset, sentiment analysis, llm dataset, language modeling, large language models, text classification, text mining dataset, natural language texts, nlp, nlp open-source dataset, text data, machine learning* |