Create README.md

README.md

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+---
+language:
+- en
+license: mit
+task_categories:
+- text2text-generation
+- information-extraction
+task_ids:
+- knowledge-graph-construction
+pretty_name: Text-to-KG Construction Contracts Dataset
+size_categories:
+- 1K<n<10K
+---
+
+# Text-to-Knowledge Graph Construction Contracts Dataset
+
+## Dataset Description
+
+This dataset is designed for training Small Language Models (SLMs) to convert unstructured natural language text into structured Knowledge Graph (KG) triples.
+
+The data is derived from UK construction contract records and has been transformed into an instruction-based format suitable for fine-tuning models such as Phi-3.5 Mini and Gemma.
+
+The dataset follows a strict ontology-driven approach to ensure semantic consistency and high-quality structured outputs.
+
+---
+
+## Dataset Summary
+
+| Stage | Records |
+|------|--------|
+| Raw dataset | 15,249 |
+| Cleaned dataset | 9,244 |
+| Train set | 6,470 |
+| Validation set | 1,387 |
+| Test set | 1,387 |
+
+---
+
+## Dataset Structure
+
+Each record follows an instruction-based format:
+
+```json
+{
+  "instruction": "Convert the given construction contract text into structured knowledge graph triples.",
+  "input": "Contract Contract_000001 records that ABC Council awarded XYZ Ltd a contract worth £500000 on 2024-01-15 for building construction work in London, with CPV code 45210000.",
+  "output": "(Contract_000001, rdf:type, Contract)\n(Contract_000001, hasBuyer, ABC Council)\n(Contract_000001, hasSupplier, XYZ Ltd)\n..."
+}