data_example/readme.md

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).