---
license: apache-2.0
task_categories:
- question-answering
- summarization
- text2text-generation
- sentence-similarity
dataset_info:
  features:
  - name: prompts
    dtype: string
  - name: response
    dtype: string
language:
- en
tags:
- finance
pretty_name: Investopedia Q&A Dataset
size_categories:
- 10K<n<100K
---
### Dataset Description

I have created Investopedia-Insights, a dataset made from high-quality financial questions and answers sourced from Investopedia. This data is organized into prompts and responses, the structure designed to work easily with the popular [gpt-llm-trainer tool](https://colab.research.google.com/drive/1mV9sAY4QBKLmS58dpFGHgwCXQKRASR31), which simplifies the fine-tuning process. Cheers!