IMLJD: A Computational Dataset for Indian Matrimonial Litigation Analysis
For legal researchers and practitioners, this provides a structured resource to analyze judicial outcomes in Indian matrimonial litigation, though the findings are descriptive and domain-specific.
The paper introduces IMLJD, a dataset of 3,613 Indian matrimonial dispute judgments, and finds that 57.6% of quashing petitions succeed at the Supreme Court versus 39.7% at the Karnataka High Court, with a 19.6 percentage point gap after temporal adjustment.
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 https://github.com/joyboseroy/imljd and https://huggingface.co/datasets/joyboseroy/imljd.