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metadata
dataset_info:
  features:
    - name: prompt
      dtype: string
    - name: answer
      dtype: string
    - name: period
      dtype: string
    - name: label
      dtype: string
    - name: symbol
      dtype: string
  splits:
    - name: train
      num_bytes: 3127735
      num_examples: 480
    - name: test
      num_bytes: 797367
      num_examples: 120
  download_size: 1523163
  dataset_size: 3925102
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

Dow30 Stock Prediction Dataset

Overview

Welcome to the Dow30 Stock Prediction dataset! This dataset is designed to assist in predicting stock returns for companies in the Dow Jones Industrial Average (Dow30). It includes essential information about each company, such as news from the last two weeks, basic financial data, and stock prices over the same period.

Dataset Structure

The dataset consists of the following columns:

  1. prompt: Information about the company, including news from the last two weeks, basic financial data, and stock prices for the same period. The system prompt is generated using the code provided in the FinGPT_Forecaster repository.

  2. answer: Stock return predictions generated by ChatGPT.

  3. period: Time period of the data, recorded on a weekly basis.

  4. label: Indicates whether the stock is predicted to go up or down, along with the percentage change.

  5. symbol: Stock symbol representing the company in the Dow Jones Industrial Average.