update scripts

dataset_infos.json

@@ -0,0 +1 @@
+{"YOLO": {"description": "YALTAi: Segmonto Manuscript and Early Printed Book Dataset", "citation": "@dataset{clerice_thibault_2022_6814770,\n  author       = {Cl\u00e9rice, Thibault},\n  title        = {{YALTAi: Segmonto Manuscript and Early Printed Book\n                   Dataset}},\n  month        = jul,\n  year         = 2022,\n  publisher    = {Zenodo},\n  version      = {1.0.0},\n  doi          = {10.5281/zenodo.6814770},\n  url          = {https://doi.org/10.5281/zenodo.6814770}\n", "homepage": "https://doi.org/10.5281/zenodo.6814770", "license": "Creative Commons Attribution 4.0 International", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "objects": {"feature": {"label": {"num_classes": 14, "names": ["DamageZone", "DigitizationArtefactZone", "DropCapitalZone", "GraphicZone", "MainZone", "MarginTextZone", "MusicZone", "NumberingZone", "QuireMarksZone", "RunningTitleZone", "SealZone", "StampZone", "TableZone", "TitlePageZone"], "id": null, "_type": "ClassLabel"}, "bbox": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "yalta_ai_segmonto_manuscript_dataset", "config_name": "YOLO", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 279776, "num_examples": 854, "dataset_name": "yalta_ai_segmonto_manuscript_dataset"}, "validation": {"name": "validation", "num_bytes": 47196, "num_examples": 154, "dataset_name": "yalta_ai_segmonto_manuscript_dataset"}, "test": {"name": "test", "num_bytes": 45982, "num_examples": 139, "dataset_name": "yalta_ai_segmonto_manuscript_dataset"}}, "download_checksums": {"https://zenodo.org/record/6814770/files/yaltai-segmonto-dataset.zip?download=1": {"num_bytes": 2826543829, "checksum": "78d15c92f563d0a96b72302bb4889d2a34e48b4ec15a0cbe9414458dbb22ac29"}}, "download_size": 2826543829, "post_processing_size": null, "dataset_size": 372954, "size_in_bytes": 2826916783}, "COCO": {"description": "YALTAi: Segmonto Manuscript and Early Printed Book Dataset", "citation": "@dataset{clerice_thibault_2022_6814770,\n  author       = {Cl\u00e9rice, Thibault},\n  title        = {{YALTAi: Segmonto Manuscript and Early Printed Book\n                   Dataset}},\n  month        = jul,\n  year         = 2022,\n  publisher    = {Zenodo},\n  version      = {1.0.0},\n  doi          = {10.5281/zenodo.6814770},\n  url          = {https://doi.org/10.5281/zenodo.6814770}\n", "homepage": "https://doi.org/10.5281/zenodo.6814770", "license": "Creative Commons Attribution 4.0 International", "features": {"image_id": {"dtype": "int64", "id": null, "_type": "Value"}, "image": {"decode": true, "id": null, "_type": "Image"}, "width": {"dtype": "int32", "id": null, "_type": "Value"}, "height": {"dtype": "int32", "id": null, "_type": "Value"}, "objects": [{"category_id": {"num_classes": 14, "names": ["DamageZone", "DigitizationArtefactZone", "DropCapitalZone", "GraphicZone", "MainZone", "MarginTextZone", "MusicZone", "NumberingZone", "QuireMarksZone", "RunningTitleZone", "SealZone", "StampZone", "TableZone", "TitlePageZone"], "id": null, "_type": "ClassLabel"}, "image_id": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "int64", "id": null, "_type": "Value"}, "area": {"dtype": "int64", "id": null, "_type": "Value"}, "bbox": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}, "segmentation": [[{"dtype": "float32", "id": null, "_type": "Value"}]], "iscrowd": {"dtype": "bool", "id": null, "_type": "Value"}}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "yalta_ai_segmonto_manuscript_dataset", "config_name": "COCO", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 413822, "num_examples": 854, "dataset_name": "yalta_ai_segmonto_manuscript_dataset"}, "validation": {"name": "validation", "num_bytes": 68148, "num_examples": 154, "dataset_name": "yalta_ai_segmonto_manuscript_dataset"}, "test": {"name": "test", "num_bytes": 66949, "num_examples": 139, "dataset_name": "yalta_ai_segmonto_manuscript_dataset"}}, "download_checksums": {"https://zenodo.org/record/6814770/files/yaltai-segmonto-dataset.zip?download=1": {"num_bytes": 2826543829, "checksum": "78d15c92f563d0a96b72302bb4889d2a34e48b4ec15a0cbe9414458dbb22ac29"}}, "download_size": 2826543829, "post_processing_size": null, "dataset_size": 548919, "size_in_bytes": 2827092748}}

yalta_ai_segmonto_manuscript_dataset.py

@@ -21,29 +21,43 @@ import datasets
 from PIL import Image
 
 _CITATION = """\
-    @dataset{clerice_thibault_2022_6827706,
+@dataset{clerice_thibault_2022_6814770,
   author       = {Clérice, Thibault},
-  title        = {YALTAi: Tabular Dataset},
+  title        = {{YALTAi: Segmonto Manuscript and Early Printed Book
+                   Dataset}},
   month        = jul,
   year         = 2022,
   publisher    = {Zenodo},
   version      = {1.0.0},
-  doi          = {10.5281/zenodo.6827706},
-  url          = {https://doi.org/10.5281/zenodo.6827706}
-}
+  doi          = {10.5281/zenodo.6814770},
+  url          = {https://doi.org/10.5281/zenodo.6814770}
 """
 
-_DESCRIPTION = """Yalt AI Tabular Dataset"""
+_DESCRIPTION = """YALTAi: Segmonto Manuscript and Early Printed Book Dataset"""
 
-_HOMEPAGE = "https://doi.org/10.5281/zenodo.6827706"
+_HOMEPAGE = "https://doi.org/10.5281/zenodo.6814770"
 
 _LICENSE = "Creative Commons Attribution 4.0 International"
 
 _URL = "https://zenodo.org/record/6814770/files/yaltai-segmonto-dataset.zip?download=1"
 
-_CATEGORIES = ['DamageZone', 'DigitizationArtefactZone', 'DropCapitalZone', 'GraphicZone', 'MainZone', 
-        'MarginTextZone', 'MusicZone', 'NumberingZone', 'QuireMarksZone', 'RunningTitleZone', 'SealZone', 
-        'StampZone', 'TableZone', 'TitlePageZone']
+_CATEGORIES = [
+    "DamageZone",
+    "DigitizationArtefactZone",
+    "DropCapitalZone",
+    "GraphicZone",
+    "MainZone",
+    "MarginTextZone",
+    "MusicZone",
+    "NumberingZone",
+    "QuireMarksZone",
+    "RunningTitleZone",
+    "SealZone",
+    "StampZone",
+    "TableZone",
+    "TitlePageZone",
+]
+
 
 class YaltAiTabularDatasetConfig(datasets.BuilderConfig):
     """BuilderConfig for YaltAiTabularDataset."""
@@ -112,17 +126,23 @@ class YaltAiTabularDataset(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "data_dir": os.path.join(data_dir, "yaltai-segmonto-dataset", "train")
+                    "data_dir": os.path.join(
+                        data_dir, "yaltai-segmonto-dataset", "train"
+                    )
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"data_dir": os.path.join(data_dir, "yaltai-segmonto-dataset", "val")},
+                gen_kwargs={
+                    "data_dir": os.path.join(data_dir, "yaltai-segmonto-dataset", "val")
+                },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "data_dir": os.path.join(data_dir, "yaltai-segmonto-dataset", "test")
+                    "data_dir": os.path.join(
+                        data_dir, "yaltai-segmonto-dataset", "test"
+                    )
                 },
             ),
         ]
@@ -211,8 +231,8 @@ class YaltAiTabularDataset(datasets.GeneratorBasedBuilder):
             for idx, (image_path, label_path) in enumerate(
                 zip(image_paths, label_paths)
             ):
-                im = Image.open(image_path)
-                width, height = im.size
+                image = Image.open(image_path)
+                width, height = image.size
                 image_id = idx
                 annotations = []
                 with open(label_path, "r") as f: