File size: 4,320 Bytes
715cc5a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 | from __future__ import annotations
import argparse
from pathlib import Path
from typing import Any
from src.data.io_utils import read_jsonl
def compact(text: Any, limit: int = 240) -> str:
value = " ".join(str(text or "").split())
if len(value) <= limit:
return value
clipped = value[:limit].rsplit(" ", 1)[0].strip()
return f"{clipped}..."
def render_prediction_case(row: dict[str, Any]) -> list[str]:
lines = [
f"### {row.get('category', '')}: {row.get('id', '')}",
f"- Claim: {row.get('claim', '')}",
f"- Gold / baseline / WikiKG / alternate: `{row.get('gold', '')}` / `{row.get('baseline_prediction', '')}` / `{row.get('wikikg_prediction', '')}` / `{row.get('alternate_prediction', '')}`",
f"- Verified support: `{row.get('num_verified_facts', 0)}` facts, `{row.get('num_verified_triples', 0)}` triples",
]
path_summary = row.get("path_summary", {})
if path_summary:
lines.append(
"- Path summary: "
f"max_final={path_summary.get('max_final_score', '')}, "
f"max_kg_path={path_summary.get('max_kg_path_score', '')}, "
f"max_provenance={path_summary.get('max_provenance_confidence', '')}"
)
if row.get("top_evidence"):
lines.append("- Top evidence:")
for item in row["top_evidence"][:3]:
lines.append(f" - [{item.get('candidate_id', '')}] {compact(item.get('text', ''))}")
if row.get("top_verified_paths"):
lines.append("- Top verified paths:")
for item in row["top_verified_paths"][:3]:
lines.append(f" - {item.get('path_text', '')}")
lines.append(f" - Source: {compact(item.get('source_text', ''))}")
if row.get("top_unsupported_triples"):
lines.append("- Unsupported triples:")
for item in row["top_unsupported_triples"][:2]:
lines.append(f" - {item.get('path_text', '')} [{item.get('nli_label', '')}]")
lines.append("")
return lines
def render_relation_case(row: dict[str, Any]) -> list[str]:
lines = [
f"### {row.get('category', '')}: {row.get('id', '')}",
f"- Claim: {row.get('claim', '')}",
f"- Gold / baseline / WikiKG: `{row.get('gold', '')}` / `{row.get('baseline_prediction', '')}` / `{row.get('wikikg_prediction', '')}`",
f"- Relation: `{row.get('relation_original', '') or row.get('relation', '')}` -> `{row.get('relation', '')}`",
f"- NLI / entailment: `{row.get('nli_label', '')}` / `{row.get('entailment_score', '')}`",
f"- Triple: {row.get('verbalized_triple', '')}",
f"- Source: {compact(row.get('source_text', ''), limit=320)}",
"",
]
return lines
def render_section(title: str, rows: list[dict[str, Any]], relation_mode: bool = False) -> list[str]:
lines = [f"## {title}", ""]
if not rows:
lines.append("No cases selected.")
lines.append("")
return lines
current_category = None
for row in rows:
if row.get("category") != current_category:
current_category = row.get("category")
lines.append(f"### Group: {current_category}")
lines.append("")
lines.extend(render_relation_case(row) if relation_mode else render_prediction_case(row))
return lines
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--averitec", type=Path, required=True)
parser.add_argument("--healthver", type=Path, required=True)
parser.add_argument("--vifactcheck", type=Path, required=True)
parser.add_argument("--output", type=Path, default=Path("outputs/analysis/case_studies.md"))
args = parser.parse_args()
averitec_rows = read_jsonl(args.averitec)
healthver_rows = read_jsonl(args.healthver)
vifactcheck_rows = read_jsonl(args.vifactcheck)
lines = ["# Stage 11 Case Studies", ""]
lines.extend(render_section("AVeriTeC", averitec_rows))
lines.extend(render_section("HealthVer", healthver_rows, relation_mode=True))
lines.extend(render_section("ViFactCheck", vifactcheck_rows))
args.output.parent.mkdir(parents=True, exist_ok=True)
args.output.write_text("\n".join(lines).strip() + "\n", encoding="utf-8")
print(f"Wrote case studies to {args.output}")
if __name__ == "__main__":
main()
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