# Sample Data Description
This directory contains **five example instances** sampled from the full set of Facet-aware Training Units (FTUs) constructed in the paper to illustrate the data format.  
## File Overview
The sample dataset consists of three JSON files:
- `selected_triplets.json`
- `selected_questions.json`  
- `selected_metadata.json`  
These three files are **aligned by paper_id** and should be used together as FTUs.
## File Relationships
- `selected_triplets.json`  
  Defines **facet-aware doc-doc supervision** in the form of query–positive–negative triplets.  
  For each query paper, positives and negatives are specified separately for each facet, and all referenced paper_ids correspond to entries in `selected_metadata.json`.
- `selected_questions.json`  
  Contains **facet-specific questions** (background / method / result) constructed for each query paper.  
  Each entry consists of three questions and is linked to a query paper in `selected_triplets.json` via `paper_id`.
- `selected_metadata.json`  
  Contains paper-level metadata (title, abstract) and sentence-level facet annotations (`background`, `method`, `result`), identified by paper_ids.
## Summary
Together, these files demonstrate how the full dataset supports **facet-aware scientific retrieval**, including:
- document content (`selected_metadata.json`),
- facet-oriented queries (`selected_questions.json`), and
- facet-specific relevance supervision (`selected_triplets.json`).