evals: expose raw question / problem_statement in dataset metadata

GAIADataset and SWEBenchDataset both build a formatted prompt (`rec.problem`)
and discard the raw input text. The hybrid paradigm runner needs the raw
text so it can apply the GAIA / SWE-bench answer-format instructions from
`agents.hybrid._prompts.format_prompt(task)` — otherwise paradigms see a
double-wrapped prompt and the GAIA "FINAL ANSWER: <x>" rule is missing.

Additive change — adds `metadata["question"]` for GAIA and
`metadata["problem_statement"]` for SWE-bench. No existing consumer
breaks; the runner now picks up the raw text correctly.

Verified end-to-end with `python -m openjarvis.agents.hybrid.runner
--cell advisors-gaia-qwen9b-opus-3`: 3/3 tasks, acc=0.667, $0.04 — matches
the hybrid harness's cell exactly.

src/openjarvis/evals/datasets/gaia.py

@@ -159,6 +159,7 @@ class GAIADataset(DatasetProvider):
 
         metadata = {
             "task_id": task_id,
+            "question": question,
             "level": level,
             "file_name": file_name,
             "file_path": str(file_path) if file_path else None,

src/openjarvis/evals/datasets/swebench.py

@@ -142,6 +142,7 @@ class SWEBenchDataset(DatasetProvider):
 
         metadata: dict[str, Any] = {
             "instance_id": instance_id,
+            "problem_statement": problem_statement,
             "repo": repo,
             "base_commit": base_commit,
             "hints_text": hints_text,