Sync DeepSeek OCR HF job code

ds_batch_ocr/stages.py

@@ -138,7 +138,6 @@ def _dataset_features() -> Features:
             "source_image_path": HfImage(),
             "document_with_boxes_image_path": HfImage(),
             "document_markdown_text": Value("string"),
-            "figure_images": Sequence(HfImage()),
             "figures": Sequence(
                 {
                     "figure_id": Value("string"),
@@ -163,7 +162,6 @@ def _build_dataset_records_iter(documents: Iterable[Dict[str, Any]]) -> Iterable
         document_with_boxes_path = doc.get("document_with_boxes_path") 
         document_with_boxes_relpath = str(document_with_boxes_path) 
 
-        figure_images: List[str] = []
         figure_entries: List[Dict[str, Any]] = []
         for figure in doc.get("figures") or []:
             if not isinstance(figure, dict):
@@ -172,10 +170,12 @@ def _build_dataset_records_iter(documents: Iterable[Dict[str, Any]]) -> Iterable
             raw_image_path = figure.get("image_path")
             image_relpath = str(raw_image_path)
 
-            figure_images.append(image_relpath)
             figure_entries.append(
                 {
-                    "figure_id": str(figure.get("figure_id")),
+                    "figure_id": str(
+                        figure.get("figure_id")
+                        or figure.get("id")
+                    ),
                     "image_path": image_relpath,
                     "description": str(figure.get("description")),
                     
@@ -183,16 +183,15 @@ def _build_dataset_records_iter(documents: Iterable[Dict[str, Any]]) -> Iterable
             )
         yield {
             "sample_id": str(doc.get("sample_id")),
-            "dataset_index": int(doc.get("dataset_index")),
-            "source_image_path": str(doc.get("source_image_path")),
+            "dataset_index": int(doc.get("dataset_index") or 0),
+            "source_image_path": str(doc.get("source_image_path") or ""),
             "document_with_boxes_image_path": document_with_boxes_relpath,
-            "document_markdown_text": doc.get("document_markdown_text"),
-            "figure_images": figure_images,
+            "document_markdown_text": doc.get("document_markdown_text") or "",
             "figures": figure_entries,
-            "document_markdown_path": str(doc.get("document_path")),
-            "document_final_markdown_path": str(doc.get("document_final_markdown_path")),
-            "document_final_markdown_text": doc.get("document_final_markdown_text"),
-            "raw_response_path": str(doc.get("raw_response_path")),
+            "document_markdown_path": str(doc.get("document_path") or ""),
+            "document_final_markdown_path": str(doc.get("document_final_markdown_path") or ""),
+            "document_final_markdown_text": doc.get("document_final_markdown_text") or "",
+            "raw_response_path": str(doc.get("raw_response_path") or ""),
         }
 
 
@@ -231,15 +230,6 @@ def _push_dataset_records(
                 else:
                     data = dict(record)
 
-                if "figure_images" not in data or data["figure_images"] is None:
-                    figure_images = []
-                    for fig in data.get("figures", []) or []:
-                        if isinstance(fig, dict):
-                            image_path = fig.get("image_path")
-                            if image_path:
-                                figure_images.append(str(image_path))
-                    data["figure_images"] = figure_images
-
                 yield data
 
         write_jsonl_iter(dataset_path, _record_iterator())
@@ -267,8 +257,6 @@ def _load_dataset_records(path: Path) -> List[Dict[str, Any]]:
             record = json.loads(line)
             if record.get("figures") is None:
                 record["figures"] = []
-            if record.get("figure_images") is None:
-                record["figure_images"] = []
             records.append(record)
     return records