IMLJD: A Computational Dataset for Indian Matrimonial Litigation Analysis
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Computer Science > Computation and Language
Title:IMLJD: A Computational Dataset for Indian Matrimonial Litigation Analysis
Abstract:We present IMLJD, an open dataset of 3,613 Indian court judgments covering matrimonial disputes under IPC Section 498A, the Protection of Women from Domestic Violence Act, and CrPC Section 482. The dataset covers the Supreme Court of India from 2000 to 2024 (1,474 cases) and the Karnataka High Court from 2018 to 2024 (2,139 cases), with structured outcome labels, metadata-derived indicators, and a knowledge graph. We find that 57.6% of quashing petitions succeed at the Supreme Court level compared to 39.7% at the Karnataka High Court level. On a matched 2018 to 2024 period, the SC quash rate is 59.3%, widening the differential to 19.6 percentage points and confirming the finding is robust to temporal adjustment. The dataset, code, and knowledge graph are released openly at this https URL and this https URL.
| Comments: | 8 pages, 2 figures, 5 tables. Dataset available at this http URL and Code at this http URL |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG) |
| ACM classes: | H.3.1; I.2.7; K.4.1 |
| Cite as: | arXiv:2605.19346 [cs.CL] |
| (or arXiv:2605.19346v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2605.19346
arXiv-issued DOI via DataCite (pending registration)
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