First commit

README.md

@@ -1,3 +1,10 @@
 ---
-license: cc-by-nc-sa-4.0
+license: cc-by-nc-4.0
 ---
+
+## Required installation
+
+```bash
+pip3 install pypdf2 pdf2image
+sudo apt-get install poppler-utils
+```

rvl_cdip_multi.py

@@ -0,0 +1,125 @@
+import os
+from typing import List
+import datasets
+import pdf2image
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """\
+@inproceedings{jordyvlRVLmulti,
+    title = {},
+    author = {Jordy Van Landeghem},
+    booktitle = {},
+    year = {2023}
+}
+"""
+
+
+_DESCRIPTION = """\
+blabla
+"""
+
+
+_HOMEPAGE = "TBD"
+
+
+_LICENSE = "https://www.industrydocuments.ucsf.edu/help/copyright/"
+
+
+_BINARY_URL = (
+    "https://huggingface.co/datasets/jordyvl/unit-test_PDFfolder/resolve/main/data/data.tar.gz"
+)
+
+_BACKOFF_folder = "/mnt/lerna/data/RVL_CDIP_pdf"
+# "/mnt/lerna/data/RVL_CDIP_multi.tar.gz"
+
+_CLASSES = [
+    "letter",
+    "form",
+    "email",
+    "handwritten",
+    "advertisement",
+    "scientific report",
+    "scientific publication",
+    "specification",
+    "file folder",
+    "news article",
+    "budget",
+    "invoice",
+    "presentation",
+    "questionnaire",
+    "resume",
+    "memo",
+]
+
+
+# folder
+#   train
+#       categoryA
+#           file1
+#   test
+# ...
+
+
+class RvlCdipMulti(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        folder = None
+        if isinstance(self.config.data_files, str):
+            folder = self.config.data_files  # needs to be extracted cuz zip/tar
+        else:
+            if isinstance(self.config.data_dir, str):
+                folder = self.config.data_dir  # contains the folder structure at someone local disk
+            else:
+                folder = _BACKOFF_folder  # my local path, others should set data_dir or data_files
+            self.config.data_dir = folder
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "file": datasets.Sequence(datasets.Image()),
+                    "labels": datasets.features.ClassLabel(names=_CLASSES),
+                }
+            ),
+            task_templates=None,
+        )
+
+    def _split_generators(
+        self, dl_manager: datasets.DownloadManager
+    ) -> List[datasets.SplitGenerator]:
+
+        if os.path.isdir(self.config.data_dir):
+            data_files = {
+                labelset: os.path.join(self.config.data_dir, labelset)
+                for labelset in os.listdir(self.config.data_dir)
+            }
+
+        elif self.self.config.data_dir.endswith(".tar.gz"):
+            archive_path = dl_manager.download(self.config.data_dir)
+            data_files = dl_manager.iter_archive(archive_path)
+            raise NotImplementedError()
+        elif self.self.config.data_dir.endswith(".zip"):
+            archive_path = dl_manager.download_and_extract(self.config.data_dir)
+            data_files = dl_manager.iter_archive(archive_path)
+            raise NotImplementedError()
+
+        splits = []
+        for split_name, folder in data_files.items():
+            splits.append(
+                datasets.SplitGenerator(name=split_name, gen_kwargs={"archive_path": folder})
+            )
+        return splits
+
+    def _generate_examples(self, archive_path):
+        labels = self.info.features["labels"]
+
+        extensions = {"pdf", "PDF"}
+
+        for i, path in enumerate(Path(archive_path).glob("**/*")):
+            if path.suffix in extensions:
+                images = pdf2image.convert_from_path(path)
+                yield file_path, {
+                    "file": images,
+                    "labels": labels.encode_example(path.parent.name.lower()),
+                }

test_loader.py

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+from datasets import load_dataset
+dataset = load_dataset("jordyvl/rvl_cdip_multi")
+import pdb; pdb.set_trace()  # breakpoint 768996ef //