abhinavdread's picture
Update README.md
6d87538 verified
metadata
language: en
license: mit
tags:
  - legal
  - msme
  - dispute-resolution
  - tabular-data
  - india
size_categories:
  - 1K<n<10K
task_categories:
  - tabular-classification

MSME Payment Dispute Dataset

Description

This dataset contains structured case-level information for MSME payment disputes in India.

The dataset was constructed from structured extraction of:

  • MSME arbitration awards
  • Commercial court decisions
  • Public legal case repositories

All records are anonymized and structured for machine learning purposes.

Dataset Size

  • ~4,600 structured cases
  • 3 outcome classes:
    • win
    • settlement
    • escalation

Features

Column Description
claim_amount Monetary claim value
delay_days Payment delay duration
buyer_type govt / private
contract_present Whether formal contract exists
industry_sector Sector classification
claim_imputed Indicator if claim was imputed
delay_imputed Indicator if delay was imputed
outcome_label Target outcome (win / settlement / escalation)

Preprocessing Steps

  • Removed rare labels
  • Removed invalid zero values
  • Outcome-based delay imputation
  • Model-based claim imputation
  • Missingness flags added (claim_imputed, delay_imputed)

Intended Use

  • Research in legal AI
  • Tabular ML benchmarking
  • MSME risk analysis
  • Delay & claim prediction modeling
  • Fairness & bias studies in legal outcomes

Limitations

  • Structured data only (tabular)
  • No raw legal document text included
  • Synthetic augmentation applied in some cases
  • Not an official government dataset
  • Potential selection bias (only decided/arbitrated cases)