mlsanityData to 14 Oct 2026

IMLJD: A Computational Dataset for Indian Matrimonial Litigation Analysis

arXiv 2605.19346 ↗First posted 19 May 2026cs.CL cs.AI cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 4 references that are in the map. First posted on arXiv 19 May 2026.

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References · 2

  1. 2021LawSum: A weakly supervised approach for Indian Legal Document Summarizationcited by 6
  2. 2026Falkor-IRAC: Graph-Constrained Generation for Verified Legal Reasoning in Indian Judicial AIcited by 2

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