FiscalAnalyzeSet / README.md
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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

FiscalAnalyzeSet

tags: finance, analysis, classification

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'FiscalAnalyzeSet' dataset is designed to support machine learning models in the domain of financial tracking and classification. It contains a collection of transaction records with various attributes to facilitate the analysis of spending habits and the categorization of transactions into predefined classes. This dataset can be useful for creating models that predict the category of a transaction, identify spending patterns, and provide insights for personal or corporate financial management.

CSV Content Preview:

transaction_id,date,description,amount,currency,category_label,transaction_type,merchant,location
TX001,2023-01-15,Monthly rent payment, -1500,USD,Housing,Expense,XYZ Rentals,New York,NY
TX002,2023-01-18,Payment to ABC Software, -300,USD,Software,Expense,ABC Corp,San Francisco,CA
TX003,2023-01-20,Salary deposit, 3000,USD,Income,Income,XYZ Tech,Los Angeles,CA
TX004,2023-01-25,Coffee shop visit, -5,USD,Food,Expense,Bean Corner,San Jose,CA
TX005,2023-01-30,Grocery store purchase, -75,USD,Groceries,Expense,Fresh Market,San Francisco,CA

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'finance tracking, classification':