| from typing import Dict, List |
|
|
|
|
| def build_contribution_prompt( |
| target_info: Dict[str, str], |
| citing_info: Dict[str, str], |
| contexts: List[str], |
| ) -> str: |
| header = [ |
| "You are extracting how a citing paper uses or extends a target paper.", |
| "Read the paragraph(s) below and write ONE concise contribution claim.", |
| "Focus only on what the citing paper actually does with the target paper.", |
| "", |
| "Rules:", |
| "- If the citing paper explicitly uses/adopts/evaluates on the target paper's method/data/benchmark, label USES.", |
| "- If it explicitly extends/modifies/adapts/builds upon the target paper, label EXTENDS.", |
| "- If the paragraph is only descriptive/background or only compares/mentions the target paper, return label NOT_CONFIRMED and empty fields.", |
| "- Do not output comparison-only claims (e.g., 'compares to <CITED HERE>'); those are NOT_CONFIRMED.", |
| "- Output paper_claim: one concise, paper-specific contribution claim.", |
| "- Output cluster_title: concise natural-language cluster summary (6-14 words), generic across papers.", |
| "- Also output cluster_key in this exact format: RELATION|artifact|purpose", |
| "- cluster_key must be generic and reusable across papers.", |
| "- artifact and purpose must be short snake_case phrases (e.g., dataset, evaluation_protocol, evaluation).", |
| "- cluster_key RELATION must exactly match label.", |
| "- Avoid overly specific keys (no paper names, no model/version numbers, no citation keys).", |
| "- Prefer stable generic keys such as: USES|dataset|evaluation, EXTENDS|dataset|dataset_creation, USES|evaluation_protocol|evaluation.", |
| "- If label is NOT_CONFIRMED, paper_claim, cluster_title, cluster_key, and evidence_span must be empty.", |
| "- The evidence_span must be a verbatim substring from the provided contexts.", |
| "- The TARGET_PAPER abstract/TLDR is for background only; do not use it as evidence.", |
| "", |
| "Negative example (NOT_CONFIRMED):", |
| "Paragraph: \"We compare our method to <CITED HERE> and other baselines.\"", |
| "Output: {\"label\":\"NOT_CONFIRMED\",\"paper_claim\":\"\",\"cluster_title\":\"\",\"cluster_key\":\"\",\"evidence_span\":\"\",\"rationale\":\"Comparison only.\"}", |
| "", |
| "Return JSON only.", |
| "", |
| "TARGET_PAPER:", |
| f"- title: {target_info.get('title', '')}", |
| f"- first_author_last: {target_info.get('first_author_last', '')}", |
| f"- year: {target_info.get('year', '')}", |
| f"- tldr: {target_info.get('tldr', '')}", |
| f"- abstract: {target_info.get('abstract', '')}", |
| "", |
| "CITING_PAPER:", |
| f"- title: {citing_info.get('title', '')}", |
| f"- paper_id: {citing_info.get('paper_id', '')}", |
| "", |
| "CONTEXTS (verbatim, same order as extracted):", |
| ] |
| for i, text in enumerate(contexts, start=1): |
| header.append(f"({i}) {text}") |
|
|
| header.append("") |
| header.append("JSON OUTPUT:") |
| header.append( |
| "{" |
| "\"label\":\"USES\"," |
| "\"paper_claim\":\"...\"," |
| "\"cluster_title\":\"Uses target dataset for evaluation\"," |
| "\"cluster_key\":\"USES|dataset|evaluation\"," |
| "\"evidence_span\":\"...\"," |
| "\"rationale\":\"...\"" |
| "}" |
| ) |
| return "\n".join(header) |
|
|
