Add dataset README

README.md

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+---
+license: apache-2.0
+tags:
+  - knowledge-graph
+  - wiki5m
+  - scaling-law
+  - preservation
+  - ood
+---
+
+# Hypernet Scaling Law Data
+
+Data assets for scaling-law and preservation (catastrophic forgetting) experiments.
+
+## Contents
+
+- **OOD splits**: `train_ood_scaling_law.pq`, `valid_ood_scaling_law.pq`, `eval_ood_scaling_law.pq` — train/valid/eval by domain (eval = held-out domains).
+- **Scaling law**: `train_scaling_law.pq`, `valid_scaling_law.pq` — 1hop/2hop/3hop QA.
+- **With facts**: `train_scaling_law_with_facts.pq`, `valid_scaling_law_with_facts.pq` — same + `facts` column from relation templates.
+- **Preservation**: `preservation_train.pq`, `preservation_eval.pq` (and `preserve_data/`, `preserve_data_2hop/`, `preserve_data_combined/`) — entities not in train, for preservation loss and eval.
+- **Relation templates**: `relation_template_mapping.csv` — relation label → question template and noun_template for fact generation.
+- **EDA**: `domain_counts_eda.csv`, `figures/` — domain and n_hop stats/plots.
+
+## Schema (parquet)
+
+Canonical columns: `triplet_subject`, `triplet_relation`, `triplet_object`, `question_prompt`, `answer`.  
+Some files add `n_hop`, `facts` (list of strings), or `domain`.
+
+## Usage
+
+```python
+import pandas as pd
+from huggingface_hub import hf_hub_download
+
+path = hf_hub_download(repo_id="nace-ai/hypernet-scaling-law-data", filename="train_ood_scaling_law.pq")
+df = pd.read_parquet(path)
+```