Add T²-RAGBench TAT-DQA subset; generalize subset layout

CHANGELOG.md

@@ -3,7 +3,7 @@
 
 ### Added
 
-- `t2_finqa` evaluation dataset (T²-RAGBench FinQA subset, `G4KMU/t2-ragbench`): 2,789 single-page PDFs / 8,281 numeric QA, ingested via docling with `uri = context_id` and gold retrieval keyed on `context_id`. QA is scored with a deterministic `NumberMatchEvaluator` (relative tolerance 0.01) via the new `DatasetSpec.qa_evaluator`, bypassing the LLM judge.
+- `t2_finqa` and `t2_tatdqa` evaluation datasets (T²-RAGBench subsets, `G4KMU/t2-ragbench`): financial-report PDFs ingested via docling with `uri = context_id` and gold retrieval keyed on `context_id`. QA is scored with a deterministic `NumberMatchEvaluator` (relative tolerance 0.01) via the new `DatasetSpec.qa_evaluator`, bypassing the LLM judge.
 
 ### Fixed
 

evaluations/evaluations/datasets/__init__.py

@@ -1,7 +1,7 @@
 from evaluations.config import DatasetSpec
 
 from .open_rag_bench import ORB_MULTIMODAL_SPEC, ORB_TEXT_SPEC
-from .t2_ragbench import T2_FINQA_SPEC
+from .t2_ragbench import T2_FINQA_SPEC, T2_TATDQA_SPEC
 from .wix import WIX_SPEC
 
 DATASETS: dict[str, DatasetSpec] = {
@@ -11,6 +11,7 @@ DATASETS: dict[str, DatasetSpec] = {
         ORB_TEXT_SPEC,
         ORB_MULTIMODAL_SPEC,
         T2_FINQA_SPEC,
+        T2_TATDQA_SPEC,
     )
 }
 

evaluations/evaluations/datasets/t2_ragbench.py

@@ -13,7 +13,23 @@ from evaluations.config import DatasetSpec, DocumentPayload, RetrievalSample
 from evaluations.evaluators import MAPEvaluator, NumberMatchEvaluator
 
 REPO_ID = "G4KMU/t2-ragbench"
-SPLITS = ("dev", "test", "train")
+
+# Per-subset layout: which metadata files hold the rows, and the repo prefix the
+# PDF lives under ({split} is filled from the row).
+_SUBSETS: dict[str, dict[str, Any]] = {
+    "FinQA": {
+        "metadata": tuple(
+            f"data/FinQA/{s}/metadata.jsonl" for s in ("dev", "test", "train")
+        ),
+        "pdf_prefix": "data/FinQA/{split}/",
+    },
+    "TAT-DQA": {
+        "metadata": tuple(
+            f"data/TAT-DQA/{s}/metadata.jsonl" for s in ("dev", "test", "train")
+        ),
+        "pdf_prefix": "data/TAT-DQA/{split}/",
+    },
+}
 
 
 def get_cache_dir() -> Path:
@@ -31,12 +47,8 @@ def _load_rows(subset: str) -> list[dict[str, Any]]:
         return cached
 
     rows: list[dict[str, Any]] = []
-    for split in SPLITS:
-        path = hf_hub_download(
-            REPO_ID,
-            f"data/{subset}/{split}/metadata.jsonl",
-            repo_type="dataset",
-        )
+    for metadata_file in _SUBSETS[subset]["metadata"]:
+        path = hf_hub_download(REPO_ID, metadata_file, repo_type="dataset")
         with open(path) as f:
             for line in f:
                 if not line.strip():
@@ -54,11 +66,8 @@ def download_t2_pdf(subset: str, split: str, file_name: str) -> Path:
     if dest.exists():
         return dest
 
-    src = hf_hub_download(
-        REPO_ID,
-        f"data/{subset}/{split}/{file_name}",
-        repo_type="dataset",
-    )
+    repo_path = _SUBSETS[subset]["pdf_prefix"].format(split=split) + file_name
+    src = hf_hub_download(REPO_ID, repo_path, repo_type="dataset")
     shutil.copyfile(src, dest)
     return dest
 
@@ -143,3 +152,9 @@ T2_FINQA_SPEC = _t2_spec(
     key="t2_finqa",
     db_filename="t2_ragbench_finqa.lancedb",
 )
+
+T2_TATDQA_SPEC = _t2_spec(
+    subset="TAT-DQA",
+    key="t2_tatdqa",
+    db_filename="t2_ragbench_tatdqa.lancedb",
+)

evaluations/tests/test_datasets.py

@@ -271,6 +271,36 @@ class TestT2RAGBench:
         assert out.read_bytes() == b"%PDF-fake"
         assert out.name == "FinQA_dev_pdf_V_2008_page_17.pdf"
 
+    def test_pdf_repo_path_per_subset(self, tmp_path: Path) -> None:
+        from unittest.mock import patch
+
+        blob = tmp_path / "blob"
+        blob.write_bytes(b"%PDF-fake")
+        cache = tmp_path / "cache"
+        cache.mkdir()
+        cases = [
+            (
+                "FinQA",
+                "dev",
+                "pdf/V/2008/page_17.pdf",
+                "data/FinQA/dev/pdf/V/2008/page_17.pdf",
+            ),
+            ("TAT-DQA", "dev", "raw/abc123.pdf", "data/TAT-DQA/dev/raw/abc123.pdf"),
+        ]
+        for subset, split, file_name, expected_repo_path in cases:
+            with (
+                patch(
+                    "evaluations.datasets.t2_ragbench.get_cache_dir",
+                    return_value=cache,
+                ),
+                patch(
+                    "evaluations.datasets.t2_ragbench.hf_hub_download",
+                    return_value=str(blob),
+                ) as dl,
+            ):
+                download_t2_pdf(subset, split, file_name)
+            assert dl.call_args.args[1] == expected_repo_path
+
     def test_load_corpus_dedupes_by_context_id(self) -> None:
         from unittest.mock import patch