Convert dataset to Parquet

FUNSD-vu2020revising.py

@@ -1,157 +0,0 @@
-# coding=utf-8
-import json
-import os
-
-import datasets
-
-from PIL import Image
-import numpy as np
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@article{vu2020revising,
-        title={Revising FUNSD dataset for key-value detection in document images},
-        author={Vu, Hieu M and Nguyen, Diep Thi-Ngoc},
-        journal={arXiv preprint arXiv:2010.05322},
-        year={2020}
-}
-"""
-_DESCRIPTION = """\
-FUNSD is one of the limited publicly available datasets for information extraction from document images.
-The information in the FUNSD dataset is defined by text areas of four categories ("key", "value", "header", "other", and "background")
-and connectivity between areas as key-value relations. Inspecting FUNSD, we found several inconsistency in labeling, which impeded its
-applicability to the key-value extraction problem. In this report, we described some labeling issues in FUNSD and the revision we made
-to the dataset.
-"""
-
-_URL = """\
-https://drive.google.com/drive/folders/1HjJyoKqAh-pvtg3eQAmrbfzPccQZ48rz
-"""
-
-
-def load_image(image_path):
-    image = Image.open(image_path).convert("RGB")
-    w, h = image.size
-    return image, (w, h)
-
-
-def normalize_bbox(bbox, size):
-    return [
-        int(1000 * bbox[0] / size[0]),
-        int(1000 * bbox[1] / size[1]),
-        int(1000 * bbox[2] / size[0]),
-        int(1000 * bbox[3] / size[1]),
-    ]
-
-
-class FunsdConfig(datasets.BuilderConfig):
-    """BuilderConfig for FUNSD"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for FUNSD.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(FunsdConfig, self).__init__(**kwargs)
-
-
-class Funsd(datasets.GeneratorBasedBuilder):
-    """FUNSD: Form Understanding in Noisy Scanned Documents."""
-
-    BUILDER_CONFIGS = [
-        FunsdConfig(
-            name="funsd_vu2020revising",
-            version=datasets.Version("2.0.0"),
-            description="Revised FUNSD dataset",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "words": datasets.Sequence(datasets.Value("string")),
-                    "bboxes": datasets.Sequence(
-                        datasets.Sequence(datasets.Value("int64"))
-                    ),
-                    "ner_tags": datasets.Sequence(
-                        datasets.features.ClassLabel(
-                            names=[
-                                "O",
-                                "B-HEADER",
-                                "I-HEADER",
-                                "B-QUESTION",
-                                "I-QUESTION",
-                                "B-ANSWER",
-                                "I-ANSWER",
-                            ]
-                        )
-                    ),
-                    "image": datasets.Image(),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://guillaumejaume.github.io/FUNSD/",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        downloaded_file = dl_manager.download_and_extract(
-            "https://drive.google.com/uc?export=download&id=1wdJJQgRIb1c404SJnX1dyBSi7U2mVduI"
-        )
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": f"{downloaded_file}/FUNSD/training_data/"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": f"{downloaded_file}/FUNSD/testing_data/"},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        logger.info("⏳ Generating examples from = %s", filepath)
-        ann_dir = os.path.join(filepath, "adjusted_annotations")
-        img_dir = os.path.join(filepath, "images")
-        for guid, file in enumerate(sorted(os.listdir(ann_dir))):
-            words = []
-            bboxes = []
-            ner_tags = []
-            file_path = os.path.join(ann_dir, file)
-            with open(file_path, "r", encoding="utf8") as f:
-                data = json.load(f)
-            image_path = os.path.join(img_dir, file)
-            image_path = image_path.replace("json", "png")
-            image, size = load_image(image_path)
-            for item in data["form"]:
-                words_example, label = item["words"], item["label"]
-                words_example = [w for w in words_example if w["text"].strip() != ""]
-                if len(words_example) == 0:
-                    continue
-                if label == "other":
-                    for w in words_example:
-                        words.append(w["text"])
-                        ner_tags.append("O")
-                        bboxes.append(normalize_bbox(w["box"], size))
-                else:
-                    words.append(words_example[0]["text"])
-                    ner_tags.append("B-" + label.upper())
-                    bboxes.append(normalize_bbox(words_example[0]["box"], size))
-                    for w in words_example[1:]:
-                        words.append(w["text"])
-                        ner_tags.append("I-" + label.upper())
-                        bboxes.append(normalize_bbox(w["box"], size))
-            yield guid, {
-                "id": str(guid),
-                "words": words,
-                "bboxes": bboxes,
-                "ner_tags": ner_tags,
-                "image": image,
-            }

README.md

@@ -5,6 +5,46 @@ multilinguality:
 - monolingual
 language_bcp47:
 - en-US
+configs:
+- config_name: funsd_vu2020revising
+  data_files:
+  - split: train
+    path: funsd_vu2020revising/train-*
+  - split: test
+    path: funsd_vu2020revising/test-*
+  default: true
+dataset_info:
+  config_name: funsd_vu2020revising
+  features:
+  - name: id
+    dtype: string
+  - name: words
+    sequence: string
+  - name: bboxes
+    sequence:
+      sequence: int64
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': B-HEADER
+          '2': I-HEADER
+          '3': B-QUESTION
+          '4': I-QUESTION
+          '5': B-ANSWER
+          '6': I-ANSWER
+  - name: image
+    dtype: image
+  splits:
+  - name: train
+    num_bytes: 27282455.0
+    num_examples: 149
+  - name: test
+    num_bytes: 9930532.0
+    num_examples: 50
+  download_size: 35902214
+  dataset_size: 37212987.0
 ---
 
 # Dataset Card for FUNSD-vu2020revising

funsd_vu2020revising/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:dc05c71d469da962de1edb9f9c7b7c9bf19b1c88c98803d23227b92eb7894839
+size 9562413

funsd_vu2020revising/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14f1c79c5306493369ce61fa5d2c340e406fd2e13cc2e13bc98c382cf55f27cf
+size 26339801