SPIKE-QA: A 22K size English dataset for SLM

SPIKE-QA is a human-indicated QA dataset generated by the GPT4o-small model, the dataset is collected as well as merged by the author with Python script. It contains 22,653 pairs of Q&A samples without time information but just single independent questions and answers. The topic covers basic science like physics, chemistry, or math to complex generation problems or some daily chat. The dataset is in the form of a bunch of Excel tables, each of which holds two feature meanings as they are named "Question" and "Answer." The file name SPIKE-QA.csv is the complete dataset in the form of CSV. The data collected by giving a prompt to GPT to ensure the generation is in a form in pairs of tuples, like lis=[("Question1", "Answer1"),("Question2", "Answer2"),...], and transform it with python script The size of the data might not be enough to pre-train an LLM from the start, it only seems to be used for parameter tuning, but paraphrasing the dataset might be one way to change the data into a useful resource. The dataset could also be used for model evaluation due to its diversity and vary length of the samples. The most important thing is accessibility, this dataset is a CSV file, making it easy for beginner to practice. Copy right reserved by the author(ORCID:0009-0002-1449-2803). An alternative of doi for this dataset is 10.34740/kaggle/dsv/10346351.