compliance_train / README.md
praveena0506's picture
Update README.md
d8134b4 verified
metadata
language:
  - en
license: mit
tags:
  - compliance
  - legal
  - business
  - india
  - statutory
  - synthetic
  - dataframe
task_categories:
  - text-generation
  - summarization
size_categories:
  - 100<n<1K

Compliance Database - Merged Profiles & Masters 📋

Dataset Description

This dataset is a comprehensive, synthetic collection of 200 merged records, combining detailed Company Profiles with their corresponding Compliance Master entries. Each row represents a specific compliance requirement for a particular company profile, meticulously linking all relevant attributes from both sources.

It serves as a foundational dataset for understanding the interplay between business characteristics and their statutory obligations within an Indian context.

-

  • Author: Praveena Subramaniyam

Content & Structure

This dataset is a direct result of merging two primary data sources:

  1. Company Profiles: Provides details like Industry, Company Type, State of Registration, Number of Employees, GST/PF/ESI registration status, and Annual Turnover.
  2. Compliance Masters: Contains specifics for each compliance item, including Compliance Name, Description, Domain, Governing Act, Category, Frequency, Due Date Logic, Applicability Rules, Penalty for Non-Compliance, and Risk Level.

Each record in this merged dataset includes:

  • All columns from the Company Profile for a given company ID.
  • All columns from a specific Compliance Master entry that applies to that company ID.

The dataset is structured such that for a single company profile, there will be multiple rows, each detailing one specific compliance requirement applicable to that company.

Use Cases

This comprehensive dataset is ideal for:

  • Data Analysis: Exploring correlations between company attributes and types of compliance.
  • Knowledge Graph Construction: Building a structured knowledge base of compliance regulations.
  • Feature Engineering: Creating rich features for machine learning models predicting compliance needs or risks.
  • Reference Data: Serving as a detailed reference for understanding regulatory landscapes in India.

Creation Process

The data was synthetically generated and meticulously merged to represent a diverse range of business scenarios, covering various industries, company sizes, and registration statuses within India. The merging process was performed programmatically to ensure accurate linkage between company profiles and their applicable compliance rules.

Sample Data

Due to the detailed nature of each row, a full sample is best viewed directly in the Hugging Face Dataset Viewer. Each row will feature:

Company Name, Industry, Company Type, State Of Registration, No. of Employees, Registered under GST?, PF & ESI Registered, Annual Turnover, Company Profile (ID from masters), Compliance Name, Description, Domain, Governing Act, Category, Frequency, Due Date Logic, Applicability Rules, Penalty for Non-Compliance, Risk Level.


Image Description for a Conceptual Visual 🖼️

If you use this dataset, please credit: **Praveena S. ping me on linkedin praveena0506