Update Readme

README.md

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 ---
-license: mit
+license: cc-by-4.0
+language:
+- en
+tags:
+- legal
+- india
+- nlp
+- knowledge-graph
+- matrimonial
+- 498a
+- judicial
+size_categories:
+- 1K<n<10K
+task_categories:
+- text-classification
+- token-classification
+- summarization
+configs:
+- config_name: sc
+  data_files: sc_enriched.csv
+- config_name: hc_karnataka
+  data_files: hc_karnataka.csv
+- config_name: combined
+  data_files: hc_matrimonial.csv
 ---
+
+# IMLJD — Indian Matrimonial Litigation Judgment Dataset
+
+Computational dataset of **3,613 Indian court judgments** on matrimonial disputes (IPC 498A, DV Act, CrPC 482 quashing petitions), built from AWS Open Data judicial archives.
+
+## Dataset Description
+
+| Sub-corpus | Cases | Court | Period | Precision |
+|-----------|-------|-------|--------|-----------|
+| SC matrimonial | 1,474 | Supreme Court of India | 2000–2024 | Medium (broad filter) |
+| Karnataka HC | 2,139 | Karnataka High Court | 2018–2024 | High (482 confirmed) |
+| **Total** | **3,613** | | | |
+
+## Key Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total cases | 3,613 |
+| SC quash success rate | 57.6% |
+| HC (Karnataka) quash success rate | 39.7% |
+| Cases with CrPC 482 | 2,179 |
+| Cases with IPC 498A | 192 |
+| KG nodes | 1,520 |
+| KG edges | 13,364 |
+
+## Columns
+
+### SC sub-corpus (`sc_enriched.csv`)
+
+| Column | Description |
+|--------|-------------|
+| case_id | Stable identifier |
+| title | Case title |
+| petitioner / respondent | Party names |
+| year | Year (2000–2024) |
+| case_type | quash / appeal / maintenance / bail / other |
+| outcome | quashed / allowed / dismissed / settled / disposed / partly_allowed |
+| statutes | Pipe-delimited statute list |
+| disposal_nature | Raw disposal string |
+| mediation_mentioned | bool |
+| settlement_mentioned | bool |
+| relatives_accused | bool |
+| judicial_criticism_misuse | bool |
+| arnesh_kumar_cited | bool |
+| rajesh_sharma_cited | bool |
+
+### HC Karnataka sub-corpus (`hc_karnataka.csv`)
+
+| Column | Description |
+|--------|-------------|
+| title | Case title (CRL.P/NNNNN/YYYY format) |
+| judge | Presiding judge |
+| decision_date | Date of judgment |
+| disposal_nature | ALLOWED / DISMISSED / DISPOSED / Partly Allowed |
+| outcome | quashed / dismissed / disposed / partly_allowed |
+| _year | Year (2018–2024) |
+| _bench | Bench (karhcdharwad / karhckalaburagi / karnataka_bng_old) |
+| statutes | CrPC 482 (all cases) |
+| case_type | quash (all cases) |
+
+## Data Sources
+
+Both sub-corpora built from AWS Open Data (no credentials needed):
+- `s3://indian-supreme-court-judgments/`
+- `s3://indian-high-court-judgments/`
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Supreme Court cases
+sc = load_dataset("joyboseroy/imljd", "sc")
+
+# Karnataka HC quash petitions  
+hc = load_dataset("joyboseroy/imljd", "hc_karnataka")
+
+# Basic analysis
+import pandas as pd
+df = pd.DataFrame(sc["train"])
+quash = df[df["case_type"] == "quash"]
+print(f"SC quash success rate: {(quash['outcome']=='quashed').mean()*100:.1f}%")
+```
+
+## Knowledge Graph
+
+A NetworkX/GEXF knowledge graph is included in the repository:
+- Nodes: Case, Statute, Court, Outcome, Precedent, Year
+- Edges: INVOKES, HEARD_BY, RESULTS_IN, CITES, DECIDED_IN
+
+Open `data/kg/imljd_graph.gexf` in Gephi for visualisation.
+
+## Ethical Considerations
+
+- Public court judgments only
+- Names present as in original public records
+- Recommended: anonymisation pass before NLP model training
+- Not suitable for "false case detection" — ground truth doesn't exist cleanly
+- Framing: procedural fairness research, not case outcome prediction
+
+## Citation
+
+```bibtex
+@dataset{boseroy2026imljd,
+  title   = {IMLJD: Indian Matrimonial Litigation Judgment Dataset},
+  author  = {Bose Roy, Joy},
+  year    = {2026},
+  url     = {https://huggingface.co/datasets/joyboseroy/imljd},
+  note    = {3,613 cases, Supreme Court 2000-2024 and Karnataka HC 2018-2024}
+}
+```
+
+Related work:
+```bibtex
+@article{boseroy2026falkor,
+  title  = {FalkorDB-IRAC: Graph-Grounded Legal Reasoning},
+  author = {Bose Roy, Joy},
+  year   = {2026},
+  url    = {https://arxiv.org/abs/2605.14665}
+}
+```