Update README.md

README.md

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-# Text-to-Knowledge Graph Construction Contracts Dataset
+---
+language:
+- en
+license: mit
+tags:
+- knowledge-graph
+- rdf
+- information-extraction
+- uk-government-contracts
+- procurement
+- text-to-kg
+- nlp
+- trustworthy-ai
+task_categories:
+- text-generation
+- token-classification
+size_categories:
+- 10K<n<100K
+---
 
-## Dataset Description
+# Text-to-KG Construction Dataset (UK Government Contracts)
 
-This dataset is designed for training Small Language Models (SLMs) to convert unstructured natural language text into structured Knowledge Graph (KG) triples.
+## Dataset Summary
 
-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.
+This dataset contains **9,244 verified UK government procurement contracts** paired with structured **RDF knowledge graph triples**, constructed for the task of automated Text-to-KG extraction. It was developed as part of a UEL–Depixen industrial placement research project focused on building **trustworthy, hallucination-free domain-specific SLMs**.
 
-The dataset follows a strict ontology-driven approach to ensure semantic consistency and high-quality structured outputs.
+This dataset was used to fine-tune:
+- 👉 [BSVGK/phi35-mini-lora-text2kg-merged](https://huggingface.co/BSVGK/phi35-mini-lora-text2kg-merged) — Zero hallucination across 1,387 unseen contracts
+- 👉 [BSVGK/phi35-mini-lora-text2kg-adapter](https://huggingface.co/BSVGK/phi35-mini-lora-text2kg-adapter) — LoRA adapter
+
+## Dataset Details
+
+| Property | Value |
+|----------|-------|
+| Domain | UK Government Procurement Contracts |
+| Total Samples | 9,244 training + 1,387 test |
+| Format | Contract text → RDF Triples |
+| Language | English |
+| Source | UK Government procurement data |
+| License | MIT |
+
+## Dataset Structure
+
+Each sample contains:
+
+{
+  "input": "Raw UK government contract text...",
+  "output": [
+    {"subject": "entity_1", "predicate": "relation", "object": "entity_2"},
+    {"subject": "entity_1", "predicate": "relation", "object": "entity_3"}
+  ]
+}
+
+## Construction Process
+
+1. **Data Collection** — UK government procurement contracts collected from public sources
+2. **Preprocessing** — Cleaning, deduplication, and normalisation of contract text
+3. **Triple Extraction** — Manual and automated RDF triple annotation
+4. **Verification** — Each triple verified against source contract text
+5. **Quality Control** — Dual-level hallucination check (L1: relation validity, L2: entity grounding)
+
+## Hallucination Evaluation Framework
+
+This dataset was evaluated using a **novel dual-level hallucination framework**:
+
+- **L1 — Relation Validity:** All relations verified against a predefined ontology
+- **L2 — Entity Grounding:** All entities grounded in the source contract text
+
+This ensured **zero hallucination** in the fine-tuned Phi-3.5 model across 1,387 unseen test contracts.
+
+## Models Trained on This Dataset
+
+| Model | F1 | BERTScore | Hallucination Rate |
+|-------|----|-----------|--------------------|
+| Phi-3.5 Mini Instruct (LoRA) | **0.9954** | **0.9997** | **0.00%** |
+| Gemma 2 2B IT (QLoRA) | competitive | competitive | higher |
+
+## Intended Use
+
+- Training SLMs for knowledge graph construction
+- Research in trustworthy and hallucination-free NLP
+- Information extraction from legal and procurement documents
+- RDF triple generation for semantic web applications
+
+## Out of Scope
+
+- Non-English contracts
+- Contracts outside UK government procurement domain
+- General purpose NLP tasks
+
+## Citation
+
+@misc{bubathula2026texttokg_dataset,
+  author = {Sai Venkata Gopala Krishna Bubathula},
+  title = {Text-to-KG Construction Dataset: UK Government Procurement Contracts for RDF Triple Extraction},
+  year = {2026},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/datasets/BSVGK/Text_to_KG_Construction_Dataset},
+  institution = {University of East London & Depixen}
+}
+
+## Developer
+
+**Sai Venkata Gopala Krishna Bubathula**
+- 🎓 MSc Big Data Technologies, University of East London
+- 🏢 AI Engineer — UEL–Depixen Industrial Placement
+- 🔗 [GitHub](https://github.com/BSVGK1919)
+- 🔗 [LinkedIn](https://www.linkedin.com/in/sai-venkata-gopala-krishna-bubathula-a05a26283/)
+- 🔗 [HuggingFace](https://huggingface.co/BSVGK)