---
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)