Update pmc_oa.py

pmc_oa.py

@@ -30,6 +30,8 @@ _URLs = {
     "images": "https://huggingface.co/datasets/axiong/pmc_oa/resolve/main/images.zip",
     # "pmc_oa_beta": "https://huggingface.co/datasets/axiong/pmc_oa/resolve/main/test.jsonl",
     # "pmc_oa": "https://huggingface.co/datasets/axiong/pmc_oa/resolve/main/valid.jsonl",
+    "demo_images": "https://huggingface.co/datasets/axiong/test/resolve/main/images.zip",
+    "demo_captions": "https://huggingface.co/datasets/axiong/test/resolve/main/mini_dataset.jsonl",
     "pmc_oa_beta": "https://huggingface.co/datasets/axiong/pmc_oa/resolve/main/pmc_oa_beta.jsonl",
     "pmc_oa": "https://huggingface.co/datasets/axiong/pmc_oa/resolve/main/pmc_oa.jsonl",
 }
@@ -51,6 +53,10 @@ class PMC_OA(datasets.GeneratorBasedBuilder):
 
     VERSION = datasets.Version("1.0.0")
     BUILDER_CONFIGS = [
+        PMC_OA_Config(
+            name="demo",
+            description="Demo subset to show dataset samples.",
+        ),
         PMC_OA_Config(
             name="pmc_oa_beta",
             description="<subfigure, caption> pairs. Subfigures detected by a DETR model.",
@@ -62,7 +68,20 @@ class PMC_OA(datasets.GeneratorBasedBuilder):
     ]
 
     def _info(self):
-        if self.config.name == "pmc_oa_beta":
+        if self.config.name == "demo":
+            return datasets.DatasetInfo(
+                description=_DESCRIPTION,
+                features=datasets.Features(
+                    {
+                        "image": datasets.Value("string"),
+                        "caption": datasets.Value("string"),
+                    }
+                ),
+                supervised_keys=None,
+                citation=_CITATION,
+                homepage=_HOMEPAGE,
+            )
+        elif self.config.name == "pmc_oa_beta":
             return datasets.DatasetInfo(
                 description=_DESCRIPTION,
                 features=datasets.Features(
@@ -94,7 +113,13 @@ class PMC_OA(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
         downloaded_files = dl_manager.download_and_extract(_URLs)
-        if self.config.name == "pmc_oa_beta":
+        if self.config.name == "demo":
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["demo_captions"], "image_dir": downloaded_files['demo_images']}
+                )
+            ]
+        elif self.config.name == "pmc_oa_beta":
             return [
                 datasets.SplitGenerator(
                     name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["pmc_oa_beta"], "image_dir": downloaded_files['images']}
@@ -113,7 +138,18 @@ class PMC_OA(datasets.GeneratorBasedBuilder):
 
         with jsonlines.open(filepath) as reader:
             for _id, obj in enumerate(reader):
-                if self.config.name == "pmc_oa_beta":
+                if self.config.name == "demo":
+                    relative_image_path = obj['image']
+                    image_path = os.path.join(image_dir, "images", relative_image_path)
+                    caption = obj['caption']
+                    yield _id, {
+                        "image": {
+                            "path": image_path,
+                            "bytes": open(image_path, "rb").read(),
+                        },
+                        "caption": caption,
+                    }
+                elif self.config.name == "pmc_oa_beta":
                     relative_image_path = obj['image']
                     image_path = os.path.join(image_dir, "caption_T060_filtered_top4_sep_v0_subfigures", relative_image_path)
                     caption = obj['caption']