Datasets:
case_id string | claim_amount float64 | delay_days float64 | buyer_type string | contract_present float64 | industry_sector string | outcome_label string | claim_imputed int64 | delay_imputed int64 |
|---|---|---|---|---|---|---|---|---|
case_0 | 8,910,000 | 1,825 | govt | 1 | Water Supply & Waste Management | escalation | 0 | 0 |
case_1 | 38,033,930.743332 | 940 | govt | 1 | Electronics | escalation | 1 | 1 |
case_10 | 80,600,000 | 940 | govt | 1 | Road Construction | escalation | 0 | 1 |
case_100 | 1,461,000 | 940 | govt | 0 | Financial Services | escalation | 0 | 1 |
case_1000 | 82,160,179.934008 | 940 | govt | 1 | Auditing | escalation | 1 | 1 |
case_1001 | 7,085,444 | 940 | private | 1 | Manufacturing | escalation | 0 | 1 |
case_1002 | 665,504 | 886.5 | private | 1 | Manufacturing | win | 0 | 1 |
case_1003 | 53,872,390.197476 | 886.5 | govt | 1 | Advertising | win | 1 | 1 |
case_1004 | 2,644,574 | 940 | govt | 1 | General Services/Goods | escalation | 0 | 1 |
case_1005 | 207,900.96 | 886.5 | private | 1 | General Business | win | 0 | 1 |
case_1006 | 7,386,896 | 940 | govt | 1 | Consultancy Services | escalation | 0 | 1 |
case_1007 | 58,671,676.436168 | 574 | private | 1 | Infrastructure | escalation | 1 | 0 |
case_1008 | 621,348.05 | 3,598 | private | 1 | Telecommunications Equipment | win | 0 | 0 |
case_1009 | 58,153,622.366857 | 940 | private | 1 | Hybrid Seeds Manufacturing | escalation | 1 | 1 |
case_101 | 316,896 | 334 | govt | 1 | Manufacturing/Supply of Cranes | win | 0 | 0 |
case_1010 | 64,380,881.846098 | 940 | private | 1 | General | escalation | 1 | 1 |
case_1011 | 76,734,314.961241 | 940 | govt | 1 | Energy Infrastructure | escalation | 1 | 1 |
case_1012 | 78,179,204.700055 | 886.5 | govt | 1 | Infrastructure | win | 1 | 1 |
case_1014 | 31,401,984.058996 | 940 | govt | 1 | Electrical Equipment Manufacturing | escalation | 1 | 1 |
case_1015 | 576,658 | 886.5 | private | 1 | Logistics | win | 0 | 1 |
case_1017 | 107,360,290.005125 | 940 | private | 1 | Oil & Gas Infrastructure | escalation | 1 | 1 |
case_1019 | 66,600,000 | 886.5 | private | 1 | Textile | win | 0 | 1 |
case_102 | 336,551,252.345473 | 940 | govt | 0 | Waste Management | escalation | 1 | 1 |
case_1020 | 584,922.99 | 654 | govt | 1 | Unspecified Business | win | 0 | 0 |
case_1021 | 12,160,345 | 1,615 | govt | 1 | Agriculture | win | 0 | 0 |
case_1022 | 25,803,143 | 868 | private | 1 | Construction | escalation | 0 | 0 |
case_1025 | 50,395,544.094613 | 940 | private | 1 | Manufacturing | escalation | 1 | 1 |
case_1026 | 197,202,000 | 366 | govt | 1 | Manufacturing/Engineering | win | 0 | 0 |
case_1027 | 838,062 | 1,749 | private | 1 | IT/Technical Services | win | 0 | 0 |
case_1028 | 1,932,990 | 403 | private | 1 | Construction | win | 0 | 0 |
case_1029 | 103,668,863.596062 | 940 | private | 1 | Textile | escalation | 1 | 1 |
case_1030 | 32,084,716.995394 | 553 | private | 1 | Poultry/Agro-based | win | 1 | 0 |
case_1031 | 276,342,610 | 1,057 | govt | 0 | Manufacturing | escalation | 0 | 0 |
case_1032 | 83,293,388.43 | 2,475 | govt | 1 | Infrastructure/Construction | win | 0 | 0 |
case_103 | 353,854,010.469738 | 250 | private | 1 | Unknown | escalation | 1 | 0 |
case_1033 | 32,986,945.031729 | 886.5 | private | 1 | Manufacturing (Insulation) | win | 1 | 1 |
case_1034 | 58,293,703.789298 | 940 | private | 1 | Construction | escalation | 1 | 1 |
case_1035 | 58,293,703.789298 | 940 | private | 1 | Construction | escalation | 1 | 1 |
case_1036 | 3,616,362 | 886.5 | govt | 1 | Telecommunication | win | 0 | 1 |
case_1037 | 77,713,672.944387 | 940 | private | 1 | Environmental Services | escalation | 1 | 1 |
case_1038 | 154,460,408.063509 | 987.5 | private | 1 | Textile/Garments | settlement | 1 | 1 |
case_1039 | 2,909,498 | 2,321 | private | 1 | Manufacturing (Batteries) | win | 0 | 0 |
case_104 | 6,364,111 | 1,328 | private | 1 | Manufacturing (Electrical) | win | 0 | 0 |
case_1046 | 215,462.97 | 1,096 | private | 1 | Facility Management | win | 0 | 0 |
case_1047 | 24,640,000 | 1,738 | govt | 0 | Manufacturing | win | 0 | 0 |
case_1048 | 2,556,510.5 | 940 | govt | 1 | Construction | escalation | 0 | 1 |
case_1049 | 1,549,234 | 886.5 | private | 0 | Pest Control Services | win | 0 | 1 |
case_1054 | 636,450 | 886.5 | private | 1 | Manufacturing | win | 0 | 1 |
case_1055 | 1,906,368.11 | 1,132 | private | 1 | Food Processing/Retail | win | 0 | 0 |
case_1056 | 5,581,817 | 354 | private | 1 | Manufacturing | win | 0 | 0 |
case_1057 | 980,309 | 1,094 | private | 1 | Manufacturing | win | 0 | 0 |
case_1058 | 80,603,853 | 261 | private | 1 | Automotive Manufacturing | win | 0 | 0 |
case_1059 | 892,500 | 886.5 | govt | 1 | Logistics/Agriculture | win | 0 | 1 |
case_106 | 1,326,812,792.428858 | 886.5 | private | 1 | Real Estate/Hospitality | win | 1 | 1 |
case_1061 | 702,969 | 374 | private | 1 | Travel/Hospitality | win | 0 | 0 |
case_1062 | 81,986 | 982 | private | 1 | Micro, Small and Medium Enterprise | win | 0 | 0 |
case_1065 | 48,526,676 | 3,013 | private | 1 | Telecommunications Infrastructure | escalation | 0 | 0 |
case_1066 | 6,040,525 | 1,985 | private | 1 | Electronics Manufacturing | escalation | 0 | 0 |
case_1067 | 224,875 | 28 | private | 1 | Beauty Services | win | 0 | 0 |
case_1068 | 121,564 | 357 | private | 1 | Manufacturing (Soap/Phenyl) | win | 0 | 0 |
case_107 | 77,741,321 | 940 | private | 1 | Unknown | escalation | 0 | 1 |
case_1070 | 620,217 | 381 | govt | 1 | Hospitality/Accommodation | settlement | 0 | 0 |
case_1071 | 849,354,606 | 940 | govt | 0 | Financial Services | escalation | 0 | 1 |
case_1072 | 1,282,736 | 424 | govt | 1 | Retail/Publishing | settlement | 0 | 0 |
case_1073 | 10,713,081 | 940 | private | 1 | Oil & Gas/Chemicals | escalation | 0 | 1 |
case_1076 | 323,787,466.405901 | 940 | govt | 0 | Financial Services | escalation | 1 | 1 |
case_1080 | 12,069,410 | 1,248 | private | 1 | Construction | settlement | 0 | 0 |
case_1084 | 69,529,331.789493 | 886.5 | private | 1 | Packaging | win | 1 | 1 |
case_1085 | 688,658 | 886.5 | private | 1 | Food Services | win | 0 | 1 |
case_1086 | 50,395,544.094613 | 940 | private | 1 | Manufacturing | escalation | 1 | 1 |
case_1087 | 33,283,194.054176 | 886.5 | govt | 1 | Manufacturing | win | 1 | 1 |
case_1091 | 51,720,722.108539 | 886.5 | private | 0 | Packaging | win | 1 | 1 |
case_1092 | 58,293,703.789298 | 940 | private | 1 | Construction | escalation | 1 | 1 |
case_1093 | 4,588,689 | 357 | private | 1 | Electrical Manufacturing | win | 0 | 0 |
case_1094 | 35,809,453.865242 | 886.5 | govt | 1 | Metal Manufacturing | win | 1 | 1 |
case_1095 | 28,483,011.385077 | 940 | govt | 1 | Electrical Services | escalation | 1 | 1 |
case_1097 | 1,401,505 | 940 | private | 0 | Plywood Manufacturing | escalation | 0 | 1 |
case_1098 | 74,394,494.887556 | 886.5 | govt | 0 | Metal Manufacturing | win | 1 | 1 |
case_1099 | 5,942,986.21 | 2,608 | private | 1 | Steel | escalation | 0 | 0 |
case_1104 | 78,933,137 | 552 | private | 1 | Construction | escalation | 0 | 0 |
case_1105 | 341,560,524.803292 | 940 | govt | 0 | Food Supply | escalation | 1 | 1 |
case_1106 | 48,204,541.193968 | 940 | private | 1 | Chemicals | escalation | 1 | 1 |
case_1107 | 41,965,956.805648 | 886.5 | govt | 1 | Electrical Infrastructure | win | 1 | 1 |
case_1108 | 1,779,819,021 | 940 | private | 1 | Manufacturing (Forging/Steel) | escalation | 0 | 1 |
case_1109 | 39,744,450.940108 | 886.5 | private | 1 | Construction | win | 1 | 1 |
case_111 | 22,517,330 | 886.5 | private | 1 | Manufacturing (Forging/Steel) | win | 0 | 1 |
case_1110 | 266,325 | 940 | private | 1 | Construction/Building Products | escalation | 0 | 1 |
case_1111 | 1,437,826 | 886.5 | private | 1 | Footwear | win | 0 | 1 |
case_1112 | 78,448,742.990512 | 886.5 | govt | 0 | infrastructure/railways | win | 1 | 1 |
case_1113 | 230,292 | 90 | private | 1 | hospitality | win | 0 | 0 |
case_1115 | 16,000,000 | 987.5 | private | 1 | construction | settlement | 0 | 1 |
case_1116 | 20,990,266.67 | 886.5 | govt | 1 | power/energy | win | 0 | 1 |
case_1118 | 373,778.66 | 886.5 | private | 1 | transportation/services | win | 0 | 1 |
case_1119 | 1,374,715 | 886.5 | private | 1 | textile/apparel | win | 0 | 1 |
case_112 | 77,713,672.944387 | 940 | private | 1 | Engineering/Manufacturing | escalation | 1 | 1 |
case_1120 | 48,324,701.000458 | 886.5 | govt | 1 | Manufacturing (Copper) | win | 1 | 1 |
case_1121 | 1,601,688.77 | 886.5 | private | 1 | Pharmaceuticals/Distribution | win | 0 | 1 |
case_1124 | 30,000,000 | 987.5 | private | 1 | Manufacturing (Textiles) | settlement | 0 | 1 |
case_1125 | 77,745,694.559453 | 940 | govt | 1 | Construction/Engineering | escalation | 1 | 1 |
case_1126 | 1,377,480 | 886.5 | private | 1 | Manufacturing (Steel) | win | 0 | 1 |
End of preview. Expand
in Data Studio
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)
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