{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "XznbrlmEuJC5" }, "source": [ "# Document AI | Fine-tune LiLT on DocLayNet base in any language at paragraph level (chunk of 512 tokens with overlap)" ] }, { "cell_type": "markdown", "metadata": { "id": "LW1SgajBuTuy" }, "source": [ "- Credit: \n", " - notebook created from the notebook [Fine_tune_LiLT_on_a_custom_dataset_in_any_language.ipynb](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LiLT/Fine_tune_LiLT_on_a_custom_dataset%2C_in_any_language.ipynb) of [Niels ROGGE](https://github.com/NielsRogge)\n", " - dataset from IBM Research ([DocLayNet](https://github.com/DS4SD/DocLayNet))\n", "- Author of this notebook: [Pierre GUILLOU](https://www.linkedin.com/in/pierreguillou/)\n", "- Date: 02/16/2023\n", "- Blog posts: \n", " - Layout XLM base\n", " - (03/05/2023) [Document AI | Inference APP and fine-tuning notebook for Document Understanding at line level with LayoutXLM base]()\n", " - LiLT base\n", " - (02/16/2023) [Document AI | Inference APP and fine-tuning notebook for Document Understanding at paragraph level](https://medium.com/@pierre_guillou/document-ai-inference-app-and-fine-tuning-notebook-for-document-understanding-at-paragraph-level-c18d16e53cf8)\n", " - (02/14/2023) [Document AI | Inference APP for Document Understanding at line level](https://medium.com/@pierre_guillou/document-ai-inference-app-for-document-understanding-at-line-level-a35bbfa98893)\n", " - (02/10/2023) [Document AI | Document Understanding model at line level with LiLT, Tesseract and DocLayNet dataset](https://medium.com/@pierre_guillou/document-ai-document-understanding-model-at-line-level-with-lilt-tesseract-and-doclaynet-dataset-347107a643b8)\n", " - (01/31/2023) [Document AI | DocLayNet image viewer APP](https://medium.com/@pierre_guillou/document-ai-doclaynet-image-viewer-app-3ac54c19956)\n", " - (01/27/2023) [Document AI | Processing of DocLayNet dataset to be used by layout models of the Hugging Face hub (finetuning, inference)](https://medium.com/@pierre_guillou/document-ai-processing-of-doclaynet-dataset-to-be-used-by-layout-models-of-the-hugging-face-hub-308d8bd81cdb)\n", "- Notebooks (paragraph level)\n", " - LiLT base\n", " - [Document AI | Inference APP at paragraph level with a Document Understanding model (LiLT fine-tuned on DocLayNet dataset)](https://github.com/piegu/language-models/blob/master/Gradio_inference_on_LiLT_model_finetuned_on_DocLayNet_base_in_any_language_at_levelparagraphs_ml512.ipynb)\n", " - [Document AI | Inference at paragraph level with a Document Understanding model (LiLT fine-tuned on DocLayNet dataset)](https://github.com/piegu/language-models/blob/master/inference_on_LiLT_model_finetuned_on_DocLayNet_base_in_any_language_at_levelparagraphs_ml512.ipynb)\n", " - [Document AI | Fine-tune LiLT on DocLayNet base in any language at paragraph level (chunk of 512 tokens with overlap)](https://github.com/piegu/language-models/blob/master/Fine_tune_LiLT_on_DocLayNet_base_in_any_language_at_paragraphlevel_ml_512.ipynb)\n", "- Notebooks (line level)\n", " - Layout XLM base\n", " - [Document AI | Inference at line level with a Document Understanding model (LayoutXLM base fine-tuned on DocLayNet dataset)](https://github.com/piegu/language-models/blob/master/inference_on_LayoutXLM_base_model_finetuned_on_DocLayNet_base_in_any_language_at_levellines_ml384.ipynb)\n", " - [Document AI | Inference APP at line level with a Document Understanding model (LayoutXLM base fine-tuned on DocLayNet base dataset)](https://github.com/piegu/language-models/blob/master/Gradio_inference_on_LayoutXLM_base_model_finetuned_on_DocLayNet_base_in_any_language_at_levellines_ml384.ipynb)\n", " - [Document AI | Fine-tune LayoutXLM base on DocLayNet base in any language at line level (chunk of 384 tokens with overlap)](https://github.com/piegu/language-models/blob/master/Fine_tune_LayoutXLM_base_on_DocLayNet_base_in_any_language_at_linelevel_ml_384.ipynb)\n", " - LiLT base\n", " - [Document AI | Inference at line level with a Document Understanding model (LiLT fine-tuned on DocLayNet dataset)](https://github.com/piegu/language-models/blob/master/inference_on_LiLT_model_finetuned_on_DocLayNet_base_in_any_language_at_levellines_ml384.ipynb)\n", " - [Document AI | Inference APP at line level with a Document Understanding model (LiLT fine-tuned on DocLayNet dataset)](https://github.com/piegu/language-models/blob/master/Gradio_inference_on_LiLT_model_finetuned_on_DocLayNet_base_in_any_language_at_levellines_ml384.ipynb)\n", " - [Document AI | Fine-tune LiLT on DocLayNet base in any language at line level (chunk of 384 tokens with overlap)](https://github.com/piegu/language-models/blob/master/Fine_tune_LiLT_on_DocLayNet_base_in_any_language_at_linelevel_ml_384.ipynb)\n", " - [DocLayNet image viewer APP](https://github.com/piegu/language-models/blob/master/DocLayNet_image_viewer_APP.ipynb)\n", " - [Processing of DocLayNet dataset to be used by layout models of the Hugging Face hub (finetuning, inference)](processing_DocLayNet_dataset_to_be_used_by_layout_models_of_HF_hub.ipynb)" ] }, { "cell_type": "markdown", "metadata": { "id": "bUvXFBYU5jAE" }, "source": [ "## Overview" ] }, { "cell_type": "markdown", "metadata": { "id": "LCSppQY35jAF" }, "source": [ "### LiLT\n", "\n", "[LiLT](https://arxiv.org/abs/2202.13669) (Language-Independent Layout Transformer) is a Document Understanding model that uses both layout and text in order to detect labels of bounding boxes. It relies on an external OCR engine like [PyTesseract](https://github.com/madmaze/pytesseract#python-tesseract) to get words and bboxes from the document image. \n", "\n", "Sources:\n", "\n", "- [Fine_tuning_LayoutLMForTokenClassification_on_FUNSD.ipynb](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForTokenClassification_on_FUNSD.ipynb)\n", "- https://www.kaggle.com/jpmiller/layoutlm-starter\n", "- https://bhadreshpsavani.medium.com/how-to-use-tesseract-library-for-ocr-in-google-colab-notebook-5da5470e4fe0 " ] }, { "cell_type": "markdown", "metadata": { "id": "CNrxyKo65jAF" }, "source": [ "### DocLayNet" ] }, { "cell_type": "markdown", "metadata": { "id": "SEolpxHW5jAG" }, "source": [ "#### DocLayNet dataset\n", "\n", "[DocLayNet dataset](https://github.com/DS4SD/DocLayNet) (IBM) provides page-by-page layout segmentation ground-truth using bounding-boxes for 11 distinct class labels on 80863 unique pages from 6 document categories. \n", "\n", "Until today, the dataset can be downloaded through direct links or as a dataset from Hugging Face datasets:\n", "- direct links: [doclaynet_core.zip](https://codait-cos-dax.s3.us.cloud-object-storage.appdomain.cloud/dax-doclaynet/1.0.0/DocLayNet_core.zip) (28 GiB), [doclaynet_extra.zip](https://codait-cos-dax.s3.us.cloud-object-storage.appdomain.cloud/dax-doclaynet/1.0.0/DocLayNet_extra.zip) (7.5 GiB)\n", "- Hugging Face dataset library: [dataset DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet)\n", "\n", "Paper: [DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis](https://arxiv.org/abs/2206.01062) (06/02/2022)\n", "\n", "#### Processing into a format facilitating its use by HF notebooks\n", "\n", "These 2 options require the downloading of all the data (approximately 30GBi), which requires downloading time (about 45 mn in Google Colab) and a large space on the hard disk. These could limit experimentation for people with low resources.\n", "\n", "Moreover, even when using the download via HF datasets library, it is necessary to download the EXTRA zip separately ([doclaynet_extra.zip](https://codait-cos-dax.s3.us.cloud-object-storage.appdomain.cloud/dax-doclaynet/1.0.0/DocLayNet_extra.zip), 7.5 GiB) to associate the annotated bounding boxes with the text extracted by OCR from the PDFs. This operation also requires additional code because the boundings boxes of the texts do not necessarily correspond to those annotated (a calculation of the percentage of area in common between the boundings boxes annotated and those of the texts makes it possible to make a comparison between them).\n", "\n", "At last, in order to use Hugging Face notebooks on fine-tuning layout models like LayoutLMv3 or LiLT, DocLayNet data must be processed in a proper format.\n", "\n", "For all these reasons, I decided to process the DocLayNet dataset:\n", "- into 3 datasets of different sizes:\n", " - [DocLayNet small](https://huggingface.co/datasets/pierreguillou/DocLayNet-small) (about 1% of DocLayNet) < 1.000k document images (691 train, 64 val, 49 test)\n", " - [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) (about 10% of DocLayNet) < 10.000k document images (6910 train, 648 val, 499 test)\n", " - [DocLayNet large](https://huggingface.co/datasets/pierreguillou/DocLayNet-large) (about 100% of DocLayNet) < 100.000k document images (69.103 train, 6.480 val, 4.994 test)\n", "- with associated texts and PDFs (base64 format),\n", "- and in a format facilitating their use by HF notebooks.\n", "\n", "*Note: the layout HF notebooks will greatly help participants of the IBM [ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents](https://ds4sd.github.io/icdar23-doclaynet/)!*\n", "\n", "#### About PDFs languages\n", "\n", "Citation of the page 3 of the [DocLayNet paper](https://arxiv.org/abs/2206.01062): \n", "\"We did not control the document selection with regard to language. **The vast majority of documents contained in DocLayNet (close to 95%) are published in English language.** However, **DocLayNet also contains a number of documents in other languages such as German (2.5%), French (1.0%) and Japanese (1.0%)**. While the document language has negligible impact on the performance of computer vision methods such as object detection and segmentation models, it might prove challenging for layout analysis methods which exploit textual features.\"\n", "\n", "#### About PDFs categories distribution\n", "\n", "Citation of the page 3 of the [DocLayNet paper](https://arxiv.org/abs/2206.01062): \n", "\"The pages in DocLayNet can be grouped into **six distinct categories**, namely **Financial Reports, Manuals, Scientific Articles, Laws & Regulations, Patents and Government Tenders**. Each document category was sourced from various repositories. For example, Financial Reports contain both free-style format annual reports which expose company-specific, artistic layouts as well as the more formal SEC filings. The two largest categories (Financial Reports and Manuals) contain a large amount of free-style layouts in order to obtain maximum variability. In the other four categories, we boosted the variability by mixing documents from independent providers, such as different government websites or publishers. In Figure 2, we show the document categories contained in DocLayNet with their respective sizes.\"\n", "\n", "![DocLayNet PDFs categories distribution (source: DocLayNet paper)](https://huggingface.co/datasets/pierreguillou/DocLayNet-base/resolve/main/DocLayNet_PDFs_categories_distribution.png)\n", "\n", "#### DocLayNet Labels\n", "\n", "The DocLayNet labels have the following meaning (source: [IBM DocLayNet Labeling Guide](https://raw.githubusercontent.com/DS4SD/DocLayNet/main/assets/DocLayNet_Labeling_Guide_Public.pdf))\n", "- Text: Regular paragraphs.\n", "- Picture: A graphic or photograph.\n", "- Caption: Special text outside a picture or table that introduces this picture or table.\n", "- Section-header: Any kind of heading in the text, except overall document title.\n", "- Footnote: Typically small text at the bottom of a page, with a number or symbol that is referred to in the text above.\n", "- Formula: Mathematical equation on its own line. \n", "\n", "Further labels not shown in the example above:\n", "- Table: Material arranged in a grid alignment with rows and columns, often with separator lines.\n", "- List-item: One element of a list, in a hanging shape, i.e., from the second line onwards the paragraph is indented more than the first line.\n", "- Page-header: Repeating elements like page number at the top, outside of the normal text flow.\n", "- Page-footer: Repeating elements like page number at the bottom, outside of the normal text flow.\n", "- Title: 1 Overall title of a document, (almost) exclusively on the first page and\n", "- typically appearing in large font.\n", "- None: Initial state of each cell/element. Only keep this if the element is not a text or picture or anything else of value. For instance, a smear or an invisible/empty cell should remain “None" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "GVbA-5tR4nwD", "outputId": "5c3a1c41-a682-42b3-b8ba-2082063fb23b" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Wed Feb 15 07:08:31 2023 \n", "+-----------------------------------------------------------------------------+\n", "| NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 |\n", "|-------------------------------+----------------------+----------------------+\n", "| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n", "| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n", "| | | MIG M. |\n", "|===============================+======================+======================|\n", "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", "| N/A 39C P0 25W / 70W | 0MiB / 15360MiB | 0% Default |\n", "| | | N/A |\n", "+-------------------------------+----------------------+----------------------+\n", " \n", "+-----------------------------------------------------------------------------+\n", "| Processes: |\n", "| GPU GI CI PID Type Process name GPU Memory |\n", "| ID ID Usage |\n", "|=============================================================================|\n", "| No running processes found |\n", "+-----------------------------------------------------------------------------+\n" ] } ], "source": [ "!nvidia-smi" ] }, { "cell_type": "markdown", "metadata": { "id": "g_Krnud-uSDV" }, "source": [ "## Set-up environment" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "bKzlnQGacN_J", "outputId": "1ab799f3-12f0-4004-89cb-01051cd0e86f" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Mounted at /content/drive\n" ] } ], "source": [ "from google.colab import drive \n", "drive.mount('/content/drive', force_remount=True)" ] }, { "cell_type": "markdown", "metadata": { "id": "0C3wLytIDXzp" }, "source": [ "### Libraries" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "S2rXhHq49ZS_", "outputId": "8f358cff-6c9c-4b9e-a43b-21f2f8004d6e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.3/6.3 MB\u001b[0m \u001b[31m50.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m462.8/462.8 KB\u001b[0m \u001b[31m46.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m190.3/190.3 KB\u001b[0m \u001b[31m14.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m104.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.0/132.0 KB\u001b[0m \u001b[31m18.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m213.0/213.0 KB\u001b[0m \u001b[31m27.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m140.6/140.6 KB\u001b[0m \u001b[31m18.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h" ] } ], "source": [ "!pip install -q transformers datasets" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "lejWIoXqEr5w", "outputId": "cbcbd338-329a-4321-dc7a-b678f83a9e12" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/81.4 KB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m81.4/81.4 KB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h" ] } ], "source": [ "!pip install -q evaluate" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "vgk_wOQ8xezs" }, "outputs": [], "source": [ "import numpy as np\n", "from operator import itemgetter\n", "import collections\n", "import pandas as pd\n", "\n", "import random\n", "import matplotlib.pyplot as plt\n", "from PIL import Image, ImageDraw, ImageFont\n", "\n", "font = ImageFont.load_default()\n", "\n", "import cv2\n", "# In Colab, use cv2_imshow instead of cv2.imshow\n", "from google.colab.patches import cv2_imshow # Colab\n", "\n", "from ipywidgets import widgets\n", "from IPython.display import display, HTML\n", "\n", "from datasets import concatenate_datasets" ] }, { "cell_type": "markdown", "metadata": { "id": "TrlF26R14NYP" }, "source": [ "### Key parameters" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "M5lNEstH4P39" }, "outputs": [], "source": [ "# categories colors\n", "label2color = {\n", " 'Caption': 'brown',\n", " 'Footnote': 'orange',\n", " 'Formula': 'gray',\n", " 'List-item': 'yellow',\n", " 'Page-footer': 'red',\n", " 'Page-header': 'red',\n", " 'Picture': 'violet',\n", " 'Section-header': 'orange',\n", " 'Table': 'green',\n", " 'Text': 'blue',\n", " 'Title': 'pink'\n", " }\n", "\n", "domains = [\"Financial Reports\", \"Manuals\", \"Scientific Articles\", \"Laws & Regulations\", \"Patents\", \"Government Tenders\"]\n", "domain_names = [domain_name.lower().replace(\" \", \"_\").replace(\"&\", \"and\") for domain_name in domains]\n", "\n", "# bounding boxes start and end of a sequence\n", "cls_box = [0, 0, 0, 0]\n", "sep_box = cls_box\n", "\n", "# DocLayNet dataset\n", "# dataset_name = \"pierreguillou/DocLayNet-small\"\n", "dataset_name = \"pierreguillou/DocLayNet-base\"\n", "dataset_name_suffix = dataset_name.replace(\"pierreguillou/DocLayNet-\", \"\")\n", "\n", "# parameters for tokenization and overlap\n", "max_length = 512 # The maximum length of a feature (sequence)\n", "doc_stride = 128 # The authorized overlap between two part of the context when splitting it is needed.\n", "\n", "# parameters de TrainingArguments\n", "batch_size=8 # WARNING: change this value according to your GPU RAM\n", "num_train_epochs=1\n", "learning_rate=2e-5\n", "per_device_train_batch_size=batch_size\n", "per_device_eval_batch_size=batch_size*2\n", "gradient_accumulation_steps=1\n", "evaluation_strategy=\"steps\"\n", "eval_steps=100\n", "save_steps=100 # eval_steps\n", "save_total_limit=2\n", "load_best_model_at_end=True\n", "metric_for_best_model=\"f1\"\n", "report_to=\"tensorboard\"\n", "fp16=True\n", "push_to_hub=True # we'd like to push our model to the hub during training\n", "hub_private_repo=True\n", "hub_strategy=\"all_checkpoints\"\n", "\n", "# model name in HF\n", "version = 1 # version number\n", "\n", "output_dir = \"DocLayNet/lilt-xlm-roberta-base-finetuned-\" + dataset_name.replace(\"pierreguillou/\", \"\") + \"_paragraphs_ml\" + str(max_length) + \"-v\" + str(version)\n", "hub_model_id = \"pierreguillou/lilt-xlm-roberta-base-finetuned-\" + dataset_name.replace(\"pierreguillou/\", \"\") + \"_paragraphs_ml\" + str(max_length) + \"-v\" + str(version)" ] }, { "cell_type": "markdown", "metadata": { "id": "vTaFBY91nUWa" }, "source": [ "### Functions" ] }, { "cell_type": "markdown", "metadata": { "id": "WO1bn3pmNzmX" }, "source": [ "#### General" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "vB4LOBjWHQgw" }, "outputs": [], "source": [ "# it is important that each bounding box should be in (upper left, lower right) format.\n", "# source: https://github.com/NielsRogge/Transformers-Tutorials/issues/129\n", "def upperleft_to_lowerright(bbox):\n", " x0, y0, x1, y1 = tuple(bbox)\n", " if bbox[2] < bbox[0]:\n", " x0 = bbox[2]\n", " x1 = bbox[0] \n", " if bbox[3] < bbox[1]:\n", " y0 = bbox[3]\n", " y1 = bbox[1] \n", " return [x0, y0, x1, y1]\n", " \n", "# convert boundings boxes (left, top, width, height) format to (left, top, left+widght, top+height) format. \n", "def convert_box(bbox):\n", " x, y, w, h = tuple(bbox) # the row comes in (left, top, width, height) format\n", " return [x, y, x+w, y+h] # we turn it into (left, top, left+widght, top+height) to get the actual box \n", "\n", "# LiLT model gets 1000x10000 pixels images\n", "def normalize_box(bbox, width, height):\n", " return [\n", " int(1000 * (bbox[0] / width)),\n", " int(1000 * (bbox[1] / height)),\n", " int(1000 * (bbox[2] / width)),\n", " int(1000 * (bbox[3] / height)),\n", " ]\n", "\n", "# LiLT model gets 1000x10000 pixels images\n", "def denormalize_box(bbox, width, height):\n", " return [\n", " int(width * (bbox[0] / 1000)),\n", " int(height * (bbox[1] / 1000)),\n", " int(width* (bbox[2] / 1000)),\n", " int(height * (bbox[3] / 1000)),\n", " ]\n", "\n", "# get back original size\n", "def original_box(box, original_width, original_height, coco_width, coco_height):\n", " return [\n", " int(original_width * (box[0] / coco_width)),\n", " int(original_height * (box[1] / coco_height)),\n", " int(original_width * (box[2] / coco_width)),\n", " int(original_height* (box[3] / coco_height)),\n", " ]\n", "\n", "def get_blocks(bboxes_block, categories, texts):\n", "\n", " # get list of unique block boxes\n", " bbox_block_dict, bboxes_block_list, bbox_block_prec = dict(), list(), list()\n", " for count_block, bbox_block in enumerate(bboxes_block):\n", " if bbox_block != bbox_block_prec:\n", " bbox_block_indexes = [i for i, bbox in enumerate(bboxes_block) if bbox == bbox_block]\n", " bbox_block_dict[count_block] = bbox_block_indexes\n", " bboxes_block_list.append(bbox_block)\n", " bbox_block_prec = bbox_block\n", "\n", " # get list of categories and texts by unique block boxes\n", " category_block_list, text_block_list = list(), list()\n", " for bbox_block in bboxes_block_list:\n", " count_block = bboxes_block.index(bbox_block)\n", " bbox_block_indexes = bbox_block_dict[count_block]\n", " category_block = np.array(categories, dtype=object)[bbox_block_indexes].tolist()[0]\n", " category_block_list.append(category_block)\n", " text_block = np.array(texts, dtype=object)[bbox_block_indexes].tolist()\n", " text_block = [text.replace(\"\\n\",\"\").strip() for text in text_block]\n", " if id2label[category_block] == \"Text\" or id2label[category_block] == \"Caption\" or id2label[category_block] == \"Footnote\":\n", " text_block = ' '.join(text_block)\n", " else:\n", " text_block = '\\n'.join(text_block)\n", " text_block_list.append(text_block)\n", "\n", " return bboxes_block_list, category_block_list, text_block_list\n", "\n", "# function to sort bounding boxes\n", "def get_sorted_boxes(bboxes):\n", "\n", " # sort by y from page top to bottom \n", " sorted_bboxes = sorted(bboxes, key=itemgetter(1), reverse=False)\n", " y_list = [bbox[1] for bbox in sorted_bboxes]\n", "\n", " # sort by x from page left to right when boxes with same y\n", " if len(list(set(y_list))) != len(y_list):\n", " y_list_duplicates_indexes = dict()\n", " y_list_duplicates = [item for item, count in collections.Counter(y_list).items() if count > 1]\n", " for item in y_list_duplicates:\n", " y_list_duplicates_indexes[item] = [i for i, e in enumerate(y_list) if e == item]\n", " bbox_list_y_duplicates = sorted(np.array(sorted_bboxes, dtype=object)[y_list_duplicates_indexes[item]].tolist(), key=itemgetter(0), reverse=False)\n", " np_array_bboxes = np.array(sorted_bboxes)\n", " np_array_bboxes[y_list_duplicates_indexes[item]] = np.array(bbox_list_y_duplicates)\n", " sorted_bboxes = np_array_bboxes.tolist()\n", "\n", " return sorted_bboxes\n", "\n", "# sort data from y = 0 to end of page (and after, x=0 to end of page when necessary)\n", "def sort_data(bboxes, categories, texts):\n", "\n", " sorted_bboxes = get_sorted_boxes(bboxes)\n", " sorted_bboxes_indexes = [bboxes.index(bbox) for bbox in sorted_bboxes]\n", " sorted_categories = np.array(categories, dtype=object)[sorted_bboxes_indexes].tolist()\n", " sorted_texts = np.array(texts, dtype=object)[sorted_bboxes_indexes].tolist()\n", "\n", " return sorted_bboxes, sorted_categories, sorted_texts" ] }, { "cell_type": "markdown", "metadata": { "id": "xXJxNG5YnLC0" }, "source": [ "#### Dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "PGvR3uArlzZ2" }, "outputs": [], "source": [ "# get PDF image and its data\n", "def generate_annotated_image(index_image=None, split=\"all\"):\n", "\n", " # get dataset\n", " example = dataset\n", "\n", " # get split\n", " if split == \"all\":\n", " example = concatenate_datasets([example[\"train\"], example[\"validation\"], example[\"test\"]])\n", " else:\n", " example = example[split]\n", "\n", " # get random image & PDF data\n", " if index_image == None: index_image = random.randint(0, len(example)-1)\n", " example = example[index_image]\n", " image = example[\"image\"] # original image\n", " coco_width, coco_height = example[\"coco_width\"], example[\"coco_height\"]\n", " original_width, original_height = example[\"original_width\"], example[\"original_height\"]\n", " original_filename = example[\"original_filename\"]\n", " page_no = example[\"page_no\"]\n", " num_pages = example[\"num_pages\"]\n", "\n", " # resize image to original\n", " image = image.resize((original_width, original_height))\n", "\n", " # get corresponding annotations\n", " texts = example[\"texts\"]\n", " bboxes_block = example[\"bboxes_block\"]\n", " bboxes_line = example[\"bboxes_line\"]\n", " categories = example[\"categories\"]\n", " domain = example[\"doc_category\"]\n", "\n", " # get domain name\n", " index_domain = domain_names.index(domain)\n", " domain = domains[index_domain]\n", "\n", " # convert boxes to original\n", " original_bboxes_block = [original_box(convert_box(box), original_width, original_height, coco_width, coco_height) for box in bboxes_block]\n", " original_bboxes_line = [original_box(convert_box(box), original_width, original_height, coco_width, coco_height) for box in bboxes_line]\n", "\n", " ##### block boxes #####\n", "\n", " # get unique blocks and its data\n", " bboxes_blocks_list, category_block_list, text_block_list = get_blocks(original_bboxes_block, categories, texts)\n", "\n", " # sort data from y = 0 to end of page (and after, x=0 to end of page when necessary)\n", " sorted_original_bboxes_block_list, sorted_category_block_list, sorted_text_block_list = sort_data(bboxes_blocks_list, category_block_list, text_block_list)\n", "\n", " ##### line boxes ####\n", "\n", " # sort data from y = 0 to end of page (and after, x=0 to end of page when necessary)\n", " sorted_original_bboxes_line_list, sorted_category_line_list, sorted_text_line_list = sort_data(original_bboxes_line, categories, texts)\n", "\n", " # group paragraphs and lines outputs\n", " sorted_original_bboxes = [sorted_original_bboxes_block_list, sorted_original_bboxes_line_list]\n", " sorted_categories = [sorted_category_block_list, sorted_category_line_list]\n", " sorted_texts = [sorted_text_block_list, sorted_text_line_list]\n", "\n", " # get annotated boudings boxes on images\n", " images = [image.copy(), image.copy()]\n", "\n", " imgs, df_paragraphs, df_lines = dict(), pd.DataFrame(), pd.DataFrame()\n", " for i, img in enumerate(images):\n", "\n", " img = img.convert('RGB') # Convert to RGB\n", " draw = ImageDraw.Draw(img)\n", " \n", " for box, label_idx, text in zip(sorted_original_bboxes[i], sorted_categories[i], sorted_texts[i]):\n", " label = id2label[label_idx]\n", " color = label2color[label]\n", " draw.rectangle(box, outline=color)\n", " text = text.encode('latin-1', 'replace').decode('latin-1') # https://stackoverflow.com/questions/56761449/unicodeencodeerror-latin-1-codec-cant-encode-character-u2013-writing-to\n", " draw.text((box[0] + 10, box[1] - 10), text=label, fill=color, font=font)\n", "\n", " if i == 0: \n", " imgs[\"paragraphs\"] = img\n", " \n", " df_paragraphs[\"paragraphs\"] = list(range(len(sorted_original_bboxes_block_list)))\n", " df_paragraphs[\"categories\"] = [id2label[label_idx] for label_idx in sorted_category_block_list]\n", " df_paragraphs[\"texts\"] = sorted_text_block_list\n", " df_paragraphs[\"bounding boxes\"] = [str(bbox) for bbox in sorted_original_bboxes_block_list]\n", "\n", " else: \n", " imgs[\"lines\"] = img\n", "\n", " df_lines[\"lines\"] = list(range(len(sorted_original_bboxes_line_list)))\n", " df_lines[\"categories\"] = [id2label[label_idx] for label_idx in sorted_category_line_list]\n", " df_lines[\"texts\"] = sorted_text_line_list\n", " df_lines[\"bounding boxes\"] = [str(bbox) for bbox in sorted_original_bboxes_line_list]\n", "\n", " return imgs, original_filename, page_no, num_pages, domain, df_paragraphs, df_lines" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "PJGz4KmRmnx_" }, "outputs": [], "source": [ "# display PDF image and its data\n", "def display_pdf_blocks_lines(index_image=None, split=\"all\"):\n", "\n", " # get image and image data\n", " images, original_filename, page_no, num_pages, domain, df_paragraphs, df_lines = generate_annotated_image(index_image=index_image, split=split)\n", "\n", " print(f\"PDF: {original_filename} (page: {page_no+1} / {num_pages}; domain: {domain})\\n\")\n", "\n", " # left widget\n", " style1 = {'overflow': 'scroll' ,'white-space': 'nowrap', 'width':'50%'}\n", " output1 = widgets.Output(description = \"PDF image with bounding boxes of paragraphs\", style=style1)\n", " with output1:\n", " \n", " # display image\n", " print(\">> PDF image with bounding boxes of paragraphs\\n\")\n", " \n", " open_cv_image = np.array(images[\"paragraphs\"]) # PIL to cv2\n", " # Convert RGB to BGR \n", " open_cv_image = open_cv_image[:, :, ::-1].copy() \n", "\n", " cv2_imshow(open_cv_image) # Colab\n", " cv2.waitKey(0)\n", "\n", " # display DataFrame\n", " print(\"\\n>> Paragraphs dataframe\\n\")\n", " display(df_paragraphs)\n", "\n", " # right widget\n", " style2 = style1\n", " output2 = widgets.Output(description = \"PDF image with bounding boxes of lines\", style=style2)\n", " with output2:\n", " \n", " # display image\n", " print(\">> PDF image with bounding boxes of lines\\n\")\n", " \n", " open_cv_image = np.array(images[\"lines\"]) # PIL to cv2\n", " # Convert RGB to BGR \n", " open_cv_image = open_cv_image[:, :, ::-1].copy() \n", "\n", " cv2_imshow(open_cv_image) # Colab\n", " cv2.waitKey(0)\n", "\n", " # display DataFrame\n", " print(\"\\n>> Lines dataframe\\n\")\n", " display(df_lines)\n", "\n", " ## Side by side thanks to HBox widgets\n", " sidebyside = widgets.HBox([output1,output2])\n", " ## Finally, show.\n", " display(sidebyside)" ] }, { "cell_type": "markdown", "metadata": { "id": "rah42cmim_eh" }, "source": [ "#### Encoded dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ZALORU8GbLOG" }, "outputs": [], "source": [ "# creation of encoded dataset\n", "def prepare_features(example, cls_box = cls_box, sep_box = sep_box):\n", "\n", " input_ids_list, attention_mask_list, bb_list, ll_list, page_hash_list = list(), list(), list(), list(), list()\n", "\n", " # get batch\n", " batch_page_hash = example[\"page_hash\"] \n", " batch_bboxes_block = example[\"bboxes_block\"]\n", " batch_categories = example[\"categories\"]\n", " batch_texts = example[\"texts\"] \n", " # batch_original_width, batch_original_height = example[\"original_width\"] , example[\"original_height\"] \n", " batch_coco_width, batch_coco_height = example[\"coco_width\"] , example[\"coco_height\"] \n", "\n", " # add a dimension if not a batch but only one image\n", " if not isinstance(batch_page_hash, list): \n", " batch_page_hash = [batch_page_hash]\n", " batch_bboxes_block = [batch_bboxes_block]\n", " batch_categories = [batch_categories]\n", " batch_texts = [batch_texts]\n", " batch_coco_width, batch_coco_height = [batch_coco_width], [batch_coco_height] \n", " \n", " # process all images of the batch\n", " for num_batch, (page_hash, boxes, labels, texts, coco_width, coco_height) in enumerate(zip(batch_page_hash, batch_bboxes_block, batch_categories, batch_texts, batch_coco_width, batch_coco_height)):\n", " tokens_list = []\n", " bboxes_list = []\n", " labels_list = []\n", "\n", " # add a dimension if only on image\n", " if not isinstance(texts, list):\n", " texts, boxes, labels = [texts], [boxes], [labels]\n", "\n", " # convert boxes to original\n", " # Check the upperleft_to_lowerright\n", " # normalize\n", " normalize_bboxes_block = [normalize_box(upperleft_to_lowerright(convert_box(box)), coco_width, coco_height) for box in boxes]\n", "\n", " # sort boxes with categorizations and texts\n", " # we want sorted lists from top to bottom of the image\n", " boxes, labels, texts = sort_data(normalize_bboxes_block, labels, texts)\n", "\n", " count = 0\n", " for box, label, text in zip(boxes, labels, texts):\n", " tokens = tokenizer.tokenize(text)\n", " num_tokens = len(tokens) # get number of tokens\n", " tokens_list.extend(tokens)\n", "\n", " bboxes_list.extend([box] * num_tokens) # number of boxes must be the same as the number of tokens\n", " labels_list.extend([label] + ([-100] * (num_tokens - 1))) # number of labels id must be the same as the number of tokens\n", "\n", " # use of return_overflowing_tokens=True / stride=doc_stride\n", " # to get parts of image with overlap\n", " # source: https://huggingface.co/course/chapter6/3b?fw=tf#handling-long-contexts\n", " encodings = tokenizer(\" \".join(texts), \n", " truncation=True,\n", " padding=\"max_length\", \n", " max_length=max_length, \n", " stride=doc_stride, \n", " return_overflowing_tokens=True, \n", " return_offsets_mapping=True\n", " )\n", "\n", " _ = encodings.pop(\"overflow_to_sample_mapping\")\n", " offset_mapping = encodings.pop(\"offset_mapping\")\n", "\n", " # Let's label those examples and get their boxes \n", " sequence_length_prev = 0 \n", " for i, offsets in enumerate(offset_mapping):\n", " # truncate tokens, boxes and labels based on length of chunk - 2 (special tokens and )\n", " sequence_length = len(encodings.input_ids[i]) - 2\n", " if i == 0: start = 0\n", " else: start += sequence_length_prev - doc_stride\n", " end = start + sequence_length\n", " sequence_length_prev = sequence_length\n", "\n", " # get tokens, boxes and labels of this image chunk\n", " bb = [cls_box] + bboxes_list[start:end] + [sep_box]\n", "\n", " # check if the start truncation is on label -100\n", " ll = labels_list[start:end]\n", " flag = True\n", " label_to_use = -100\n", " count = 0\n", " ll_ori = ll.copy()\n", " while flag:\n", " if len(ll) > 0:\n", " if ll[0] != -100 and count == 0:\n", " flag = False\n", " elif ll[0] == -100 and count == 0:\n", " ll = ll[1:]\n", " count += 1\n", " elif ll[0] != -100 and count > 0:\n", " label_to_use = ll[0]\n", " flag = False\n", " elif ll[0] == -100 and count > 0:\n", " ll = ll[1:]\n", " count += 1\n", " else:\n", " flag = False\n", "\n", " if label_to_use != -100:\n", " ll = [label_to_use]*count + ll_ori[count:]\n", " else:\n", " ll = ll_ori\n", "\n", " # check if the end truncation is on label -100\n", " flag = True\n", " label_to_use = -100\n", " count = 0\n", " ll_ori = ll.copy()\n", " while flag:\n", " if len(ll) > 0:\n", " if ll[-1] != -100 and count == 0:\n", " flag = False\n", " elif ll[-1] == -100 and count == 0:\n", " ll = ll[:-1]\n", " count += 1\n", " elif ll[-1] != -100 and count > 0:\n", " label_to_use = ll[-1]\n", " flag = False\n", " elif ll[-1] == -100 and count > 0:\n", " ll = ll[:-1]\n", " count += 1\n", " else:\n", " flag = False\n", "\n", " if label_to_use != -100:\n", " ll = ll_ori[:-count] + [label_to_use]*count\n", " else:\n", " ll = ll_ori\n", "\n", " # get labels for this chunck\n", " ll = [-100] + ll + [-100]\n", "\n", " # as the last chunk can have a length < max_length\n", " # we must to add [tokenizer.pad_token] (tokens), [sep_box] (boxes) and [-100] (labels)\n", " if len(bb) < max_length:\n", " bb = bb + [sep_box] * (max_length - len(bb))\n", " ll = ll + [-100] * (max_length - len(ll))\n", "\n", " # append results\n", " input_ids_list.append(encodings[\"input_ids\"][i])\n", " attention_mask_list.append(encodings[\"attention_mask\"][i])\n", " bb_list.append(bb)\n", " ll_list.append(ll)\n", " page_hash_list.append(page_hash)\n", " \n", " return {\n", " \"input_ids\": input_ids_list,\n", " \"attention_mask\": attention_mask_list,\n", " \"normalized_bboxes\": bb_list,\n", " \"labels\": ll_list,\n", " \"page_hash\": page_hash_list,\n", " }" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "0Movqw_dnBtp" }, "outputs": [], "source": [ "# get data of encoded chunk\n", "def get_encoded_chunk(index_chunk=None, split=\"all\"):\n", "\n", " # get datasets\n", " example = dataset\n", " encoded_example = encoded_dataset\n", "\n", " # get split\n", " if split == \"all\":\n", " example = concatenate_datasets([example[\"train\"], example[\"validation\"], example[\"test\"]])\n", " encoded_example = concatenate_datasets([encoded_example[\"train\"], encoded_example[\"validation\"], encoded_example[\"test\"]])\n", " else:\n", " example = example[split]\n", " encoded_example = encoded_example[split]\n", "\n", " # get randomly a document in dataset\n", " if index_chunk == None: index_chunk = random.randint(0, len(encoded_example)-1)\n", " encoded_example = encoded_example[index_chunk]\n", " encoded_page_hash = encoded_example[\"page_hash\"]\n", "\n", " # get the image\n", " example = example.filter(lambda example: example[\"page_hash\"] == encoded_page_hash)[0]\n", " image = example[\"image\"] # original image\n", " coco_width, coco_height = example[\"coco_width\"], example[\"coco_height\"]\n", " original_filename = example[\"original_filename\"]\n", " page_no = example[\"page_no\"]\n", " num_pages = example[\"num_pages\"]\n", " domain = example[\"doc_category\"]\n", "\n", " # get domain name\n", " index_domain = domain_names.index(domain)\n", " domain = domains[index_domain]\n", "\n", " # get boxes, texts, categories\n", " bboxes, labels_id, input_ids = encoded_example[\"normalized_bboxes\"][1:-1], encoded_example[\"labels\"][1:-1], encoded_example[\"input_ids\"][1:-1]\n", " bboxes = [denormalize_box(bbox, coco_width, coco_height) for bbox in bboxes]\n", " num_tokens = len(input_ids) + 2\n", "\n", " # get unique bboxes and corresponding labels\n", " bboxes_list, labels_list, input_ids_list = list(), list(), list()\n", " input_ids_dict = dict()\n", " bbox_prev = [-100, -100, -100, -100]\n", " for i, (bbox, label_id, input_id) in enumerate(zip(bboxes, labels_id, input_ids)):\n", " if bbox != bbox_prev:\n", " bboxes_list.append(bbox)\n", " input_ids_dict[str(bbox)] = [input_id]\n", " labels_list.append(label_id)\n", " label_id_prev = label_id\n", " else:\n", " input_ids_dict[str(bbox)].append(input_id)\n", " \n", " # start_indexes_list.append(i)\n", " bbox_prev = bbox\n", " \n", " # do not keep \"...\"\n", " if input_ids_dict[str(bboxes_list[-1])][0] == (tokenizer.convert_tokens_to_ids('')):\n", " del input_ids_dict[str(bboxes_list[-1])]\n", " bboxes_list = bboxes_list[:-1]\n", " labels_list = labels_list[:-1]\n", "\n", " # get texts by line\n", " input_ids_list = input_ids_dict.values()\n", " texts_list = [tokenizer.decode(input_ids) for input_ids in input_ids_list]\n", " \n", " # display DataFrame\n", " df = pd.DataFrame({\"texts\": texts_list, \"input_ids\": input_ids_list, \"labels_ids\": labels_list, \"bboxes\": bboxes_list})\n", "\n", " return image, original_filename, page_no, num_pages, domain, df, num_tokens" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "x1CDypquqdi4" }, "outputs": [], "source": [ "# display chunk of PDF image and its data\n", "def display_chunk_lines(index_chunk=None, split=\"all\"):\n", "\n", " # get image and image data\n", " image, original_filename, page_no, num_pages, domain, df, num_tokens = get_encoded_chunk(index_chunk=index_chunk, split=split)\n", " image = image.convert('RGB') # Convert to RGB\n", "\n", " # get data from dataframe\n", " input_ids = df[\"input_ids\"]\n", " texts = df[\"texts\"]\n", " labels_ids = df[\"labels_ids\"]\n", " bboxes = df[\"bboxes\"]\n", "\n", " print(f'Chunk ({num_tokens} tokens) of the PDF \"{original_filename}\" (page: {page_no+1} / {num_pages}; domain: {domain})\\n')\n", "\n", " # display image with annotated bounding boxes\n", " print(\">> PDF image with bounding boxes of lines\\n\")\n", " draw = ImageDraw.Draw(image)\n", " \n", " labels = list()\n", " for box, label_idx, text in zip(bboxes, labels_ids, texts):\n", " label = id2label[label_idx]\n", " labels.append(label)\n", " color = label2color[label]\n", " draw.rectangle(box, outline=color)\n", " text = text.encode('latin-1', 'replace').decode('latin-1') # https://stackoverflow.com/questions/56761449/unicodeencodeerror-latin-1-codec-cant-encode-character-u2013-writing-to\n", " draw.text((box[0] + 10, box[1] - 10), text=label, fill=color, font=font)\n", "\n", " open_cv_image = np.array(image) # PIL to cv2\n", " # Convert RGB to BGR \n", " open_cv_image = open_cv_image[:, :, ::-1].copy() \n", "\n", " cv2_imshow(open_cv_image) # Colab\n", " cv2.waitKey(0)\n", "\n", " # display image dataframe\n", " print(\"\\n>> Dataframe of annotated lines\\n\")\n", " df[\"labels\"] = labels\n", " cols = [\"texts\", \"labels\",\t\"bboxes\"]\n", " df = df[cols]\n", " display(df)" ] }, { "cell_type": "markdown", "metadata": { "id": "-IZWjet1DdvW", "tags": [] }, "source": [ "## HF login" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "udZGDtRvr402", "outputId": "7a74919b-970e-4cf1-8e23-c286d8f58b5c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n", " _| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|\n", " _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n", " _|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|\n", " _| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n", " _| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|\n", " \n", " To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\n", "Token: \n", "Add token as git credential? (Y/n) Y\n", "Token is valid.\n", "\u001b[1m\u001b[31mCannot authenticate through git-credential as no helper is defined on your machine.\n", "You might have to re-authenticate when pushing to the Hugging Face Hub.\n", "Run the following command in your terminal in case you want to set the 'store' credential helper as default.\n", "\n", "git config --global credential.helper store\n", "\n", "Read https://git-scm.com/book/en/v2/Git-Tools-Credential-Storage for more details.\u001b[0m\n", "Token has not been saved to git credential helper.\n", "Your token has been saved to /root/.cache/huggingface/token\n", "Login successful\n" ] } ], "source": [ "!huggingface-cli login" ] }, { "cell_type": "markdown", "metadata": { "id": "5ZViXHMIJehp" }, "source": [ "## Download DocLayNet" ] }, { "cell_type": "markdown", "metadata": { "id": "f5XzDp9Nz0yp" }, "source": [ "### Download" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "AkFKHr0h__rc" }, "outputs": [], "source": [ "local_dataset_name = \"/content/drive/MyDrive/DocLayNet/datasets/\" + dataset_name.replace(\"pierreguillou/DocLayNet-\", \"\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "lzY2vp8wJrMw" }, "outputs": [], "source": [ "from datasets import load_dataset\n", "dataset = load_dataset(dataset_name)\n", "\n", "# save locally\n", "dataset.save_to_disk(local_dataset_name)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "kAmjhvQy6Q5R" }, "outputs": [], "source": [ "# load\n", "from datasets import load_from_disk\n", "dataset = load_from_disk(local_dataset_name)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "OSLRVLSEAPnY", "outputId": "1cd00229-d96b-44e3-981c-8a2c56f8f8c1" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "DatasetDict({\n", " train: Dataset({\n", " features: ['id', 'texts', 'bboxes_block', 'bboxes_line', 'categories', 'image', 'page_hash', 'original_filename', 'page_no', 'num_pages', 'original_width', 'original_height', 'coco_width', 'coco_height', 'collection', 'doc_category'],\n", " num_rows: 6910\n", " })\n", " validation: Dataset({\n", " features: ['id', 'texts', 'bboxes_block', 'bboxes_line', 'categories', 'image', 'page_hash', 'original_filename', 'page_no', 'num_pages', 'original_width', 'original_height', 'coco_width', 'coco_height', 'collection', 'doc_category'],\n", " num_rows: 648\n", " })\n", " test: Dataset({\n", " features: ['id', 'texts', 'bboxes_block', 'bboxes_line', 'categories', 'image', 'page_hash', 'original_filename', 'page_no', 'num_pages', 'original_width', 'original_height', 'coco_width', 'coco_height', 'collection', 'doc_category'],\n", " num_rows: 499\n", " })\n", "})" ] }, "metadata": {}, "execution_count": 17 } ], "source": [ "dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ibcJH1vrBbU2", "outputId": "e8a39a27-cbbe-4d93-b871-844d1e5dcfb7" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "{'id': Value(dtype='string', id=None),\n", " 'texts': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None),\n", " 'bboxes_block': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None),\n", " 'bboxes_line': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None),\n", " 'categories': Sequence(feature=ClassLabel(names=['Caption', 'Footnote', 'Formula', 'List-item', 'Page-footer', 'Page-header', 'Picture', 'Section-header', 'Table', 'Text', 'Title'], id=None), length=-1, id=None),\n", " 'image': Image(decode=True, id=None),\n", " 'page_hash': Value(dtype='string', id=None),\n", " 'original_filename': Value(dtype='string', id=None),\n", " 'page_no': Value(dtype='int32', id=None),\n", " 'num_pages': Value(dtype='int32', id=None),\n", " 'original_width': Value(dtype='int32', id=None),\n", " 'original_height': Value(dtype='int32', id=None),\n", " 'coco_width': Value(dtype='int32', id=None),\n", " 'coco_height': Value(dtype='int32', id=None),\n", " 'collection': Value(dtype='string', id=None),\n", " 'doc_category': Value(dtype='string', id=None)}" ] }, "metadata": {}, "execution_count": 18 } ], "source": [ "dataset[\"train\"].features" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "6ymjGg8U0WdD", "outputId": "c6272564-0d82-4d78-a018-8de17b75eaaf" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "{0: 'Caption', 1: 'Footnote', 2: 'Formula', 3: 'List-item', 4: 'Page-footer', 5: 'Page-header', 6: 'Picture', 7: 'Section-header', 8: 'Table', 9: 'Text', 10: 'Title'}\n" ] } ], "source": [ "label_list = dataset[\"train\"].features[\"categories\"].feature.names\n", "id2label = {id:label for id, label in enumerate(label_list)}\n", "label2id = {label:id for id, label in enumerate(label_list)}\n", "num_labels = len(label_list)\n", "print(id2label)" ] }, { "cell_type": "markdown", "metadata": { "id": "rlYa_sdm0YV5" }, "source": [ "### Checking of the dataset" ] }, { "cell_type": "markdown", "metadata": { "id": "edoD42-XrEHx" }, "source": [ "Select a dataset split and display a random annotated image from it and its dataframe.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "1153e397196840dda5033b50664dc8ce", "28e9f0c9d3d747b0aabf17de6a4403b5", "049c23ca656e46689eb47dc5dbac9b1c", "d9316df97b2c42539e2dc6385e1054a2", "090d6665d3e8430f939358e269c89c79", "9aad9f5ac4a344b8a4dfc9a3a45425e1" ] }, "id": "8G_8yh7UGNrs", "outputId": "9bbafa09-c7f5-4531-ac1e-46fd032af2f1" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "PDF: Presidential Decree No. 1067, s. 1976 | Official Gazette of the Republic of the Philippines.pdf (page: 19 / 21; domain: Laws & Regulations)\n", "\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "HBox(children=(Output(), Output()))" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "1153e397196840dda5033b50664dc8ce" } }, "metadata": {} } ], "source": [ "# choose your dataset\n", "splits = [\"all\", \"train\", \"validation\", \"test\"]\n", "\n", "index_split = 3\n", "split = splits[index_split]\n", "\n", "# display random PDF image and its data\n", "display_pdf_blocks_lines(split=split)" ] }, { "cell_type": "markdown", "metadata": { "id": "4uzGtQ-wyab4" }, "source": [ "## Create PyTorch Dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 113, "referenced_widgets": [ "58a198b7ca534674952981bd595cf9dd", "690bab0491324fc5a6b6ed47740ebdb7", "12940da8defa49a3a718a8adafffd441", "96949df8cc06481ebc175753d2d2ce6e", "9df62354cfe042c493f49df840902b25", "9cf747f364e84db6afe57fceb26cc398", "ea96a4497b9d4feaa838e107878a7293", "88adfd3f6e794d12941401d2c1bff303", "8638239c62cc42639e1a4d76a0fdc2c1", "cf2ccb1edbf04d9e9fccaa5a35c9bb5d", "4264ca18104c4c66917c34f81d5dba2c", "893106c463ad4886b7b74a08d986c10a", "8faadd542f364023ba12b41bd10c716d", "96fe3bd2217f437cbabc7bb99d3a6589", "21436c568b1746dfbef5acf43e5aa999", "af2cf291abba45daaf3d3a9381be7843", "ff1c0c5d037a4b248118fc94faba2e75", "3fe5361a437f41f1b3a365d83c1b8cc9", "3d024c3eddf249e2acf674efe7c45790", "f3b604184b0a4db1b06e69c35287cb35", "848b2ece3efb4029b17c03dcc687e5e1", "e18354105ca94fe4a3107cfda73fe989", "47a8762e414540e4bd7eb0a0310ac655", "9a3d3469a67a4468a736d9f7a7e2d3f2", "e7c3978abec1470fb223f5eb89068102", "1e3b5444b5d94078bdec905d4db7675a", "27ac41b7f7fa4c11a90f2efc94bc4d4d", "4a38163ee4b6444181cf5e707ac961a5", "373b857636c642928427a3ada694de8d", "cbacb9b46fa94296869fdb52131ab69b", "686c64f0f1004061a2e20ebaea9e2e2b", "411a69858285434e8c89dfc703ccd732", "b40e509340554573b44b0e9c8ada064e" ] }, "id": "9ayLQYhfu1OU", "outputId": "e10c3de0-4b1e-4eb8-ec10-25b7c6a4a07d" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Downloading (…)okenizer_config.json: 0%| | 0.00/451 [00:00> PDF image with bounding boxes of lines\n", "\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "image/png": 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\n", " " ] }, "metadata": {} } ], "source": [ "# choose your split\n", "splits = [\"all\", \"train\", \"validation\", \"test\"]\n", "\n", "index_split = 3\n", "split = splits[index_split]\n", "\n", "# get and image from random chunk\n", "display_chunk_lines(split=split)" ] }, { "cell_type": "markdown", "metadata": { "id": "k8bkZZhRveWl" }, "source": [ "### Create a custom dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "qaNogBg1ugWx" }, "outputs": [], "source": [ "from torch.utils.data import Dataset\n", "\n", "class CustomDataset(Dataset):\n", " def __init__(self, dataset, tokenizer):\n", " self.dataset = dataset\n", " self.tokenizer = tokenizer\n", "\n", " def __len__(self):\n", " return len(self.dataset)\n", "\n", " def __getitem__(self, idx):\n", " # get item\n", " example = self.dataset[idx]\n", " encoding = dict()\n", " # encoding[\"page_hash\"] = example[\"page_hash\"]\n", " encoding[\"input_ids\"] = example[\"input_ids\"]\n", " encoding[\"attention_mask\"] = example[\"attention_mask\"]\n", " encoding[\"bbox\"] = example[\"normalized_bboxes\"]\n", " encoding[\"labels\"] = example[\"labels\"]\n", " \n", " return encoding" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "eTWPlxB_zhQe" }, "outputs": [], "source": [ "train_dataset = CustomDataset(train_dataset, tokenizer)\n", "eval_dataset = CustomDataset(eval_dataset, tokenizer)\n", "test_dataset = CustomDataset(test_dataset, tokenizer)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ArWb-ILbK-3x", "outputId": "32f91bbb-d8fe-4463-d643-9fb50263c9a4" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "input_ids 512\n", "attention_mask 512\n", "bbox 512\n", "labels 512\n" ] } ], "source": [ "example = train_dataset[0]\n", "\n", "for k,v in example.items():\n", " print(k,len(v))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 125 }, "id": "IuiO8GkYxl7f", "outputId": "eb44cb63-e95b-49dc-e3d3-015be63bfc09" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "' Notes to the consolidated financial statements of Aegon N.V. Notes to the consolidated financial statements of Aegon N.V. Notes to the consolidated financial statements of Aegon N.V. 50 50 The table that follows summarizes the carrying amounts of financial assets and financial liabilities that are classified as at fair value The table that follows summarizes the carrying amounts of financial assets and financial liabilities that are classified as at fair value The table that follows summarizes the carrying amounts of financial assets and financial liabilities that are classified as at fair value 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 Investments for general account The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for account of policyholders Investments held for account of policyholders comprise assets that are linked to various insurance and investment contracts for Investments held for account of policyholders comprise assets that are linked to various insurance and investment contracts for Investments held for account of policyholders comprise assets that'" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "string" } }, "metadata": {}, "execution_count": 32 } ], "source": [ "tokenizer.decode(example[\"input_ids\"])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "xUfyC_mWH-oE", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "48ffbb30-db17-4424-fc62-08ca00773484" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Notes to the consolidated financial statements of Aegon N.V. [119, 30, 422, 13] Page-header\n", "Note 50 [541, 30, 59, 14] Page-header\n", "270 [71, 31, 25, 13] Page-header\n", "50 [119, 98, 19, 14] Section-header\n", "Summary of total financial assets and financial liabilities at fair value through profit or loss [143, 98, 670, 14] Section-header\n", "Investments for general account [119, 363, 212, 13] Section-header\n", "Investments for account of policyholders [119, 564, 268, 13] Section-header\n", "Investment contracts for account of policyholders [119, 719, 326, 13] Section-header\n", "Derivatives [119, 797, 74, 13] Section-header\n", "Borrowings [119, 859, 78, 13] Section-header\n", "The table that follows summarizes the carrying amounts of financial assets and financial liabilities that are classified as at fair value [119, 116, 770, 11] Text\n", "through profit or loss, with appropriate distinction between those financial assets and financial liabilities held for trading and those [119, 132, 764, 11] Text\n", "that, upon initial recognition, were designated as at fair value through profit or loss. [119, 147, 485, 11] Text\n", "The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. [119, 380, 724, 11] Text\n", "This includes portfolios of investments in limited partnerships and limited liability companies (primarily hedge funds) for which [119, 395, 736, 11] Text\n", "the performance is assessed internally on a total return basis. In addition, some investments that include an embedded derivative [119, 411, 751, 11] Text\n", "that would otherwise have required bifurcation, such as convertible instruments, preferred shares and credit linked notes, have been [119, 426, 768, 11] Text\n", "designated at fair value through profit or loss. [119, 442, 270, 11] Text\n", "Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair [119, 473, 753, 11] Text\n", "value recognized in the income statement, are designated at fair value through profit or loss. The Group elected to designate these [119, 488, 761, 11] Text\n", "investments at fair value through profit or loss, as a classification of financial assets as available-for-sale would result in accumulation [119, 504, 784, 11] Text\n", "of unrealized gains and losses in a revaluation reserve within equity whilst changes to the liability would be reflected in net income [119, 519, 761, 11] Text\n", "(accounting mismatch). [119, 535, 134, 11] Text\n", "Investments held for account of policyholders comprise assets that are linked to various insurance and investment contracts for [119, 581, 743, 11] Text\n", "which the financial risks are borne by the customer. Under the Group’s accounting policies these insurance and investment liabilities [119, 597, 764, 11] Text\n", "are measured at the fair value of the linked assets with changes in the fair value recognized in the income statement. To avoid an [119, 612, 751, 11] Text\n", "accounting mismatch the linked assets have been designated as at fair value through profit or loss. [119, 628, 577, 11] Text\n", "In addition, the investment for account of policyholders include with profit assets, where an insurer manages these assets together [119, 659, 762, 11] Text\n", "with related liabilities on a fair value basis in accordance with a documented policy of asset and liability management. In accordance [119, 674, 767, 11] Text\n", "with Group’s accounting policies, these assets have been designated as at fair value through profit or loss. [119, 690, 614, 11] Text\n", "With the exception of the financial liabilities with discretionary participating features that are not subject to the classification and [119, 736, 755, 11] Text\n", "measurement requirements for financial instruments, all investment contracts for account of policyholders that are carried at fair value [119, 752, 787, 11] Text\n", "or at the fair value of the linked assets are included in the table above. [119, 767, 408, 11] Text\n", "With the exception of derivatives designated as a hedging instrument, all derivatives held for general account and held for account of [119, 813, 775, 11] Text\n", "policyholders are included in the table above. [119, 829, 261, 11] Text\n", "Borrowings designated as at fair value through profit or loss includes financial instruments that are managed on a fair value basis [119, 875, 753, 11] Text\n", "together with related financial assets and financial derivatives (Refer to note 41). [119, 891, 470, 11] Text\n", "Annual Report 2013 [200, 991, 124, 12] Page-footer\n", "2013 [631, 179, 32, 12] Table\n", "2012 [803, 180, 30, 11] Table\n", "Trading [591, 194, 46, 12] Table\n", "Designated [653, 194, 69, 12] Table\n", "Trading [768, 195, 40, 11] Table\n", "Designated [833, 195, 61, 11] Table\n", "Investments for general account [119, 212, 165, 10] Table\n", "121 [616, 212, 21, 10] Table\n", "4,712 [692, 212, 30, 10] Table\n", "754 [788, 212, 21, 10] Table\n", "4,809 [864, 212, 30, 10] Table\n", "Investments for account of policyholders [119, 227, 209, 10] Table\n", "- [633, 227, 4, 10] Table\n", "164,037 [678, 227, 44, 10] Table\n", "- [804, 227, 4, 10] Table\n", "151,960 [850, 227, 44, 10] Table\n", "Derivatives with positive values not designated as hedges [119, 243, 293, 10] Table\n", "12,651 [599, 243, 37, 10] Table\n", "- [718, 243, 4, 10] Table\n", "19,348 [771, 243, 37, 10] Table\n", "- [890, 243, 4, 10] Table\n", "Total financial assets at fair value through profit or loss [119, 256, 346, 12] Table\n", "12,771 [594, 257, 43, 11] Table\n", "168,749 [672, 257, 51, 11] Table\n", "20,102 [766, 257, 43, 11] Table\n", "156,769 [843, 257, 51, 11] Table\n", "Investment contracts for account of policyholders [119, 281, 254, 10] Table\n", "- [633, 281, 4, 10] Table\n", "32,628 [685, 281, 37, 10] Table\n", "- [804, 281, 4, 10] Table\n", "29,188 [857, 281, 37, 10] Table\n", "Derivatives with negative values not designated as hedges [119, 297, 297, 10] Table\n", "11,248 [599, 297, 37, 10] Table\n", "- [718, 297, 4, 10] Table\n", "17,042 [771, 297, 37, 10] Table\n", "- [890, 297, 4, 10] Table\n", "Borrowings [119, 312, 57, 10] Table\n", "- [633, 312, 4, 10] Table\n", "1,017 [692, 312, 30, 10] Table\n", "- [804, 312, 4, 10] Table\n", "1,050 [864, 312, 30, 10] Table\n", "Total financial liabilities at fair value through profit or loss [119, 326, 365, 12] Table\n", "11,248 [594, 327, 43, 11] Table\n", "33,645 [680, 327, 43, 11] Table\n", "17,042 [766, 327, 43, 11] Table\n", "30,238 [851, 327, 43, 11] Table\n" ] } ], "source": [ "for text, box, label in zip(dataset[\"train\"][0][\"texts\"], dataset[\"train\"][0][\"bboxes_line\"], dataset[\"train\"][0][\"categories\"]):\n", " print(text, box, id2label[label])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "7ERmka7YOWD8", "outputId": "71c5b1e9-1663-4b0c-b5bb-b4ecdb61473d" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "512" ] }, "metadata": {}, "execution_count": 34 } ], "source": [ "len(example[\"input_ids\"])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "MGskeGPH8oqX", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "a5f2a9a0-4959-4f57-c86a-ec95c5c1526d" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " [0, 0, 0, 0] -100\n", "Note [69, 29, 585, 42] Page-header\n", "s [69, 29, 585, 42] -100\n", "to [69, 29, 585, 42] -100\n", "the [69, 29, 585, 42] -100\n", "consolida [69, 29, 585, 42] -100\n", "ted [69, 29, 585, 42] -100\n", "financial [69, 29, 585, 42] -100\n", "statement [69, 29, 585, 42] -100\n", "s [69, 29, 585, 42] -100\n", "of [69, 29, 585, 42] -100\n", "A [69, 29, 585, 42] -100\n", "ego [69, 29, 585, 42] -100\n", "n [69, 29, 585, 42] -100\n", "N [69, 29, 585, 42] -100\n", ". [69, 29, 585, 42] -100\n", "V [69, 29, 585, 42] -100\n", ". [69, 29, 585, 42] -100\n", "Note [69, 29, 585, 42] Page-header\n", "s [69, 29, 585, 42] -100\n", "to [69, 29, 585, 42] -100\n", "the [69, 29, 585, 42] -100\n", "consolida [69, 29, 585, 42] -100\n", "ted [69, 29, 585, 42] -100\n", "financial [69, 29, 585, 42] -100\n", "statement [69, 29, 585, 42] -100\n", "s [69, 29, 585, 42] -100\n", "of [69, 29, 585, 42] -100\n", "A [69, 29, 585, 42] -100\n", "ego [69, 29, 585, 42] -100\n", "n [69, 29, 585, 42] -100\n", "N [69, 29, 585, 42] -100\n", ". [69, 29, 585, 42] -100\n", "V [69, 29, 585, 42] -100\n", ". [69, 29, 585, 42] -100\n", "Note [69, 29, 585, 42] Page-header\n", "s [69, 29, 585, 42] -100\n", "to [69, 29, 585, 42] -100\n", "the [69, 29, 585, 42] -100\n", "consolida [69, 29, 585, 42] -100\n", "ted [69, 29, 585, 42] -100\n", "financial [69, 29, 585, 42] -100\n", "statement [69, 29, 585, 42] -100\n", "s [69, 29, 585, 42] -100\n", "of [69, 29, 585, 42] -100\n", "A [69, 29, 585, 42] -100\n", "ego [69, 29, 585, 42] -100\n", "n [69, 29, 585, 42] -100\n", "N [69, 29, 585, 42] -100\n", ". [69, 29, 585, 42] -100\n", "V [69, 29, 585, 42] -100\n", ". [69, 29, 585, 42] -100\n", "50 [116, 95, 793, 109] Section-header\n", "50 [116, 95, 793, 109] Section-header\n", "The [116, 113, 867, 154] Text\n", "table [116, 113, 867, 154] -100\n", "that [116, 113, 867, 154] -100\n", "follow [116, 113, 867, 154] -100\n", "s [116, 113, 867, 154] -100\n", "summa [116, 113, 867, 154] -100\n", "riz [116, 113, 867, 154] -100\n", "es [116, 113, 867, 154] -100\n", "the [116, 113, 867, 154] -100\n", "carry [116, 113, 867, 154] -100\n", "ing [116, 113, 867, 154] -100\n", "amount [116, 113, 867, 154] -100\n", "s [116, 113, 867, 154] -100\n", "of [116, 113, 867, 154] -100\n", "financial [116, 113, 867, 154] -100\n", "assets [116, 113, 867, 154] -100\n", "and [116, 113, 867, 154] -100\n", "financial [116, 113, 867, 154] -100\n", "li [116, 113, 867, 154] -100\n", "abili [116, 113, 867, 154] -100\n", "ties [116, 113, 867, 154] -100\n", "that [116, 113, 867, 154] -100\n", "are [116, 113, 867, 154] -100\n", "class [116, 113, 867, 154] -100\n", "ified [116, 113, 867, 154] -100\n", "as [116, 113, 867, 154] -100\n", "at [116, 113, 867, 154] -100\n", "fair [116, 113, 867, 154] -100\n", "value [116, 113, 867, 154] -100\n", "The [116, 113, 867, 154] Text\n", "table [116, 113, 867, 154] -100\n", "that [116, 113, 867, 154] -100\n", "follow [116, 113, 867, 154] -100\n", "s [116, 113, 867, 154] -100\n", "summa [116, 113, 867, 154] -100\n", "riz [116, 113, 867, 154] -100\n", "es [116, 113, 867, 154] -100\n", "the [116, 113, 867, 154] -100\n", "carry [116, 113, 867, 154] -100\n", "ing [116, 113, 867, 154] -100\n", "amount [116, 113, 867, 154] -100\n", "s [116, 113, 867, 154] -100\n", "of [116, 113, 867, 154] -100\n", "financial [116, 113, 867, 154] -100\n", "assets [116, 113, 867, 154] -100\n", "and [116, 113, 867, 154] -100\n", "financial [116, 113, 867, 154] -100\n", "li [116, 113, 867, 154] -100\n", "abili [116, 113, 867, 154] -100\n", "ties [116, 113, 867, 154] -100\n", "that [116, 113, 867, 154] -100\n", "are [116, 113, 867, 154] -100\n", "class [116, 113, 867, 154] -100\n", "ified [116, 113, 867, 154] -100\n", "as [116, 113, 867, 154] -100\n", "at [116, 113, 867, 154] -100\n", "fair [116, 113, 867, 154] -100\n", "value [116, 113, 867, 154] -100\n", "The [116, 113, 867, 154] Text\n", "table [116, 113, 867, 154] -100\n", "that [116, 113, 867, 154] -100\n", "follow [116, 113, 867, 154] -100\n", "s [116, 113, 867, 154] -100\n", "summa [116, 113, 867, 154] -100\n", "riz [116, 113, 867, 154] -100\n", "es [116, 113, 867, 154] -100\n", "the [116, 113, 867, 154] -100\n", "carry [116, 113, 867, 154] -100\n", "ing [116, 113, 867, 154] -100\n", "amount [116, 113, 867, 154] -100\n", "s [116, 113, 867, 154] -100\n", "of [116, 113, 867, 154] -100\n", "financial [116, 113, 867, 154] -100\n", "assets [116, 113, 867, 154] -100\n", "and [116, 113, 867, 154] -100\n", "financial [116, 113, 867, 154] -100\n", "li [116, 113, 867, 154] -100\n", "abili [116, 113, 867, 154] -100\n", "ties [116, 113, 867, 154] -100\n", "that [116, 113, 867, 154] -100\n", "are [116, 113, 867, 154] -100\n", "class [116, 113, 867, 154] -100\n", "ified [116, 113, 867, 154] -100\n", "as [116, 113, 867, 154] -100\n", "at [116, 113, 867, 154] -100\n", "fair [116, 113, 867, 154] -100\n", "value [116, 113, 867, 154] -100\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "2013 [113, 173, 880, 331] Table\n", "Investment [116, 354, 322, 366] Section-header\n", "s [116, 354, 322, 366] -100\n", "for [116, 354, 322, 366] -100\n", "general [116, 354, 322, 366] -100\n", "account [116, 354, 322, 366] -100\n", "The [116, 370, 865, 441] Text\n", "Group [116, 370, 865, 441] -100\n", "manage [116, 370, 865, 441] -100\n", "s [116, 370, 865, 441] -100\n", "certain [116, 370, 865, 441] -100\n", "portfolio [116, 370, 865, 441] -100\n", "s [116, 370, 865, 441] -100\n", "on [116, 370, 865, 441] -100\n", "a [116, 370, 865, 441] -100\n", "total [116, 370, 865, 441] -100\n", "return [116, 370, 865, 441] -100\n", "basis [116, 370, 865, 441] -100\n", "which [116, 370, 865, 441] -100\n", "have [116, 370, 865, 441] -100\n", "been [116, 370, 865, 441] -100\n", "design [116, 370, 865, 441] -100\n", "ated [116, 370, 865, 441] -100\n", "at [116, 370, 865, 441] -100\n", "fair [116, 370, 865, 441] -100\n", "value [116, 370, 865, 441] -100\n", "through [116, 370, 865, 441] -100\n", "profit [116, 370, 865, 441] -100\n", "or [116, 370, 865, 441] -100\n", "loss [116, 370, 865, 441] -100\n", ". [116, 370, 865, 441] -100\n", "The [116, 370, 865, 441] Text\n", "Group [116, 370, 865, 441] -100\n", "manage [116, 370, 865, 441] -100\n", "s [116, 370, 865, 441] -100\n", "certain [116, 370, 865, 441] -100\n", "portfolio [116, 370, 865, 441] -100\n", "s [116, 370, 865, 441] -100\n", "on [116, 370, 865, 441] -100\n", "a [116, 370, 865, 441] -100\n", "total [116, 370, 865, 441] -100\n", "return [116, 370, 865, 441] -100\n", "basis [116, 370, 865, 441] -100\n", "which [116, 370, 865, 441] -100\n", "have [116, 370, 865, 441] -100\n", "been [116, 370, 865, 441] -100\n", "design [116, 370, 865, 441] -100\n", "ated [116, 370, 865, 441] -100\n", "at [116, 370, 865, 441] -100\n", "fair [116, 370, 865, 441] -100\n", "value [116, 370, 865, 441] -100\n", "through [116, 370, 865, 441] -100\n", "profit [116, 370, 865, 441] -100\n", "or [116, 370, 865, 441] -100\n", "loss [116, 370, 865, 441] -100\n", ". 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[116, 370, 865, 441] -100\n", "The [116, 370, 865, 441] Text\n", "Group [116, 370, 865, 441] -100\n", "manage [116, 370, 865, 441] -100\n", "s [116, 370, 865, 441] -100\n", "certain [116, 370, 865, 441] -100\n", "portfolio [116, 370, 865, 441] -100\n", "s [116, 370, 865, 441] -100\n", "on [116, 370, 865, 441] -100\n", "a [116, 370, 865, 441] -100\n", "total [116, 370, 865, 441] -100\n", "return [116, 370, 865, 441] -100\n", "basis [116, 370, 865, 441] -100\n", "which [116, 370, 865, 441] -100\n", "have [116, 370, 865, 441] -100\n", "been [116, 370, 865, 441] -100\n", "design [116, 370, 865, 441] -100\n", "ated [116, 370, 865, 441] -100\n", "at [116, 370, 865, 441] -100\n", "fair [116, 370, 865, 441] -100\n", "value [116, 370, 865, 441] -100\n", "through [116, 370, 865, 441] -100\n", "profit [116, 370, 865, 441] -100\n", "or [116, 370, 865, 441] -100\n", "loss [116, 370, 865, 441] -100\n", ". [116, 370, 865, 441] -100\n", "The [116, 370, 865, 441] Text\n", "Group [116, 370, 865, 441] -100\n", "manage [116, 370, 865, 441] -100\n", "s [116, 370, 865, 441] -100\n", "certain [116, 370, 865, 441] -100\n", "portfolio [116, 370, 865, 441] -100\n", "s [116, 370, 865, 441] -100\n", "on [116, 370, 865, 441] -100\n", "a [116, 370, 865, 441] -100\n", "total [116, 370, 865, 441] -100\n", "return [116, 370, 865, 441] -100\n", "basis [116, 370, 865, 441] -100\n", "which [116, 370, 865, 441] -100\n", "have [116, 370, 865, 441] -100\n", "been [116, 370, 865, 441] -100\n", "design [116, 370, 865, 441] -100\n", "ated [116, 370, 865, 441] -100\n", "at [116, 370, 865, 441] -100\n", "fair [116, 370, 865, 441] -100\n", "value [116, 370, 865, 441] -100\n", "through [116, 370, 865, 441] -100\n", "profit [116, 370, 865, 441] -100\n", "or [116, 370, 865, 441] -100\n", "loss [116, 370, 865, 441] -100\n", ". [116, 370, 865, 441] -100\n", "Investment [116, 461, 880, 532] Text\n", "s [116, 461, 880, 532] -100\n", "for [116, 461, 880, 532] -100\n", "general [116, 461, 880, 532] -100\n", "account [116, 461, 880, 532] -100\n", "back [116, 461, 880, 532] -100\n", "ing [116, 461, 880, 532] -100\n", "insurance [116, 461, 880, 532] -100\n", "and [116, 461, 880, 532] -100\n", "investment [116, 461, 880, 532] -100\n", "li [116, 461, 880, 532] -100\n", "abili [116, 461, 880, 532] -100\n", "ties [116, 461, 880, 532] -100\n", ", [116, 461, 880, 532] -100\n", "that [116, 461, 880, 532] -100\n", "are [116, 461, 880, 532] -100\n", "carried [116, 461, 880, 532] -100\n", "at [116, 461, 880, 532] -100\n", "fair [116, 461, 880, 532] -100\n", "value [116, 461, 880, 532] -100\n", "with [116, 461, 880, 532] -100\n", "changes [116, 461, 880, 532] -100\n", "in [116, 461, 880, 532] -100\n", "the [116, 461, 880, 532] -100\n", "fair [116, 461, 880, 532] -100\n", "Investment [116, 461, 880, 532] Text\n", "s [116, 461, 880, 532] -100\n", "for [116, 461, 880, 532] -100\n", "general [116, 461, 880, 532] -100\n", "account [116, 461, 880, 532] -100\n", "back [116, 461, 880, 532] -100\n", "ing [116, 461, 880, 532] -100\n", "insurance [116, 461, 880, 532] -100\n", "and [116, 461, 880, 532] -100\n", "investment [116, 461, 880, 532] -100\n", "li [116, 461, 880, 532] -100\n", "abili [116, 461, 880, 532] -100\n", "ties [116, 461, 880, 532] -100\n", ", [116, 461, 880, 532] -100\n", "that [116, 461, 880, 532] -100\n", "are [116, 461, 880, 532] -100\n", "carried [116, 461, 880, 532] -100\n", "at [116, 461, 880, 532] -100\n", "fair [116, 461, 880, 532] -100\n", "value [116, 461, 880, 532] -100\n", "with [116, 461, 880, 532] -100\n", "changes [116, 461, 880, 532] -100\n", "in [116, 461, 880, 532] -100\n", "the [116, 461, 880, 532] -100\n", "fair [116, 461, 880, 532] -100\n", "Investment [116, 461, 880, 532] Text\n", "s [116, 461, 880, 532] -100\n", "for [116, 461, 880, 532] -100\n", "general [116, 461, 880, 532] 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"ing [116, 461, 880, 532] -100\n", "insurance [116, 461, 880, 532] -100\n", "and [116, 461, 880, 532] -100\n", "investment [116, 461, 880, 532] -100\n", "li [116, 461, 880, 532] -100\n", "abili [116, 461, 880, 532] -100\n", "ties [116, 461, 880, 532] -100\n", ", [116, 461, 880, 532] -100\n", "that [116, 461, 880, 532] -100\n", "are [116, 461, 880, 532] -100\n", "carried [116, 461, 880, 532] -100\n", "at [116, 461, 880, 532] -100\n", "fair [116, 461, 880, 532] -100\n", "value [116, 461, 880, 532] -100\n", "with [116, 461, 880, 532] -100\n", "changes [116, 461, 880, 532] -100\n", "in [116, 461, 880, 532] -100\n", "the [116, 461, 880, 532] -100\n", "fair [116, 461, 880, 532] -100\n", "Investment [116, 461, 880, 532] Text\n", "s [116, 461, 880, 532] -100\n", "for [116, 461, 880, 532] -100\n", "general [116, 461, 880, 532] -100\n", "account [116, 461, 880, 532] -100\n", "back [116, 461, 880, 532] -100\n", "ing [116, 461, 880, 532] -100\n", "insurance [116, 461, 880, 532] -100\n", "and [116, 461, 880, 532] -100\n", "investment [116, 461, 880, 532] -100\n", "li [116, 461, 880, 532] -100\n", "abili [116, 461, 880, 532] -100\n", "ties [116, 461, 880, 532] -100\n", ", [116, 461, 880, 532] -100\n", "that [116, 461, 880, 532] -100\n", "are [116, 461, 880, 532] -100\n", "carried [116, 461, 880, 532] -100\n", "at [116, 461, 880, 532] -100\n", "fair [116, 461, 880, 532] -100\n", "value [116, 461, 880, 532] -100\n", "with [116, 461, 880, 532] -100\n", "changes [116, 461, 880, 532] -100\n", "in [116, 461, 880, 532] -100\n", "the [116, 461, 880, 532] -100\n", "fair [116, 461, 880, 532] -100\n", "Investment [116, 550, 377, 562] Section-header\n", "s [116, 550, 377, 562] -100\n", "for [116, 550, 377, 562] -100\n", "account [116, 550, 377, 562] -100\n", "of [116, 550, 377, 562] -100\n", "policy [116, 550, 377, 562] -100\n", "holder [116, 550, 377, 562] -100\n", "s [116, 550, 377, 562] -100\n", "Investment [116, 566, 861, 623] Text\n", "s [116, 566, 861, 623] -100\n", "held [116, 566, 861, 623] -100\n", "for [116, 566, 861, 623] -100\n", "account [116, 566, 861, 623] -100\n", "of [116, 566, 861, 623] -100\n", "policy [116, 566, 861, 623] -100\n", "holder [116, 566, 861, 623] -100\n", "s [116, 566, 861, 623] -100\n", "compris [116, 566, 861, 623] -100\n", "e [116, 566, 861, 623] -100\n", "assets [116, 566, 861, 623] -100\n", "that [116, 566, 861, 623] -100\n", "are [116, 566, 861, 623] -100\n", "link [116, 566, 861, 623] -100\n", "ed [116, 566, 861, 623] -100\n", "to [116, 566, 861, 623] -100\n", "various [116, 566, 861, 623] -100\n", "insurance [116, 566, 861, 623] -100\n", "and [116, 566, 861, 623] -100\n", "investment [116, 566, 861, 623] -100\n", "contract [116, 566, 861, 623] -100\n", "s [116, 566, 861, 623] -100\n", "for [116, 566, 861, 623] -100\n", "Investment [116, 566, 861, 623] Text\n", "s [116, 566, 861, 623] -100\n", "held [116, 566, 861, 623] -100\n", "for [116, 566, 861, 623] -100\n", "account [116, 566, 861, 623] -100\n", "of [116, 566, 861, 623] -100\n", "policy [116, 566, 861, 623] -100\n", "holder [116, 566, 861, 623] -100\n", "s [116, 566, 861, 623] -100\n", "compris [116, 566, 861, 623] -100\n", "e [116, 566, 861, 623] -100\n", "assets [116, 566, 861, 623] -100\n", "that [116, 566, 861, 623] -100\n", "are [116, 566, 861, 623] -100\n", "link [116, 566, 861, 623] -100\n", "ed [116, 566, 861, 623] -100\n", "to [116, 566, 861, 623] -100\n", "various [116, 566, 861, 623] -100\n", "insurance [116, 566, 861, 623] -100\n", "and [116, 566, 861, 623] -100\n", "investment [116, 566, 861, 623] -100\n", "contract [116, 566, 861, 623] -100\n", "s [116, 566, 861, 623] -100\n", "for [116, 566, 861, 623] -100\n", "Investment [116, 566, 861, 623] Text\n", "s [116, 566, 861, 623] Text\n", "held [116, 566, 861, 623] Text\n", "for [116, 566, 861, 623] Text\n", "account [116, 566, 861, 623] Text\n", "of [116, 566, 861, 623] Text\n", "policy [116, 566, 861, 623] Text\n", "holder [116, 566, 861, 623] Text\n", "s [116, 566, 861, 623] Text\n", "compris [116, 566, 861, 623] Text\n", "e [116, 566, 861, 623] Text\n", "assets [116, 566, 861, 623] Text\n", "that [116, 566, 861, 623] Text\n", " [0, 0, 0, 0] -100\n" ] } ], "source": [ "for id, box, label in zip(example[\"input_ids\"], example[\"bbox\"], example[\"labels\"]):\n", " if label != -100:\n", " print(tokenizer.decode([id]), box, id2label[label])\n", " else:\n", " print(tokenizer.decode([id]), box, -100)" ] }, { "cell_type": "markdown", "metadata": { "id": "y9eDcNDX92_K" }, "source": [ "## Define PyTorch DataLoader" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "_wcV_X_X8var" }, "outputs": [], "source": [ "import torch\n", "from torch.utils.data import DataLoader\n", "\n", "def collate_fn(features):\n", " boxes = [feature[\"bbox\"] for feature in features]\n", " labels = [feature[\"labels\"] for feature in features]\n", " # use tokenizer to pad input_ids\n", " batch = tokenizer.pad(features, padding=\"max_length\", max_length=max_length)\n", "\n", " sequence_length = torch.tensor(batch[\"input_ids\"]).shape[1]\n", " batch[\"labels\"] = [labels_example + [-100] * (sequence_length - len(labels_example)) for labels_example in labels]\n", " batch[\"bbox\"] = [boxes_example + [[0, 0, 0, 0]] * (sequence_length - len(boxes_example)) for boxes_example in boxes]\n", "\n", " # convert to PyTorch\n", " # batch = {k: torch.tensor(v, dtype=torch.int64) if isinstance(v[0], list) else v for k, v in batch.items()}\n", " batch = {k: torch.tensor(v) for k, v in batch.items()}\n", "\n", " return batch\n", "\n", "train_dataloader = DataLoader(train_dataset, batch_size=batch_size, shuffle=False, collate_fn=collate_fn)\n", "eval_dataloader = DataLoader(eval_dataset, batch_size=batch_size, shuffle=False, collate_fn=collate_fn)\n", "test_dataloader = DataLoader(test_dataset, batch_size=batch_size, shuffle=False, collate_fn=collate_fn)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "RuvQ3Mdh-SCO", "outputId": "d1a97649-a232-4e77-8c71-33608f908ecc" }, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "You're using a XLMRobertaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n" ] } ], "source": [ "batch = next(iter(train_dataloader))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "fsYIzvv0z1dt", "outputId": "10d44951-531b-4b7c-984b-211a075f9434" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "input_ids torch.Size([8, 512])\n", "attention_mask torch.Size([8, 512])\n", "bbox torch.Size([8, 512, 4])\n", "labels torch.Size([8, 512])\n" ] } ], "source": [ "for k,v in batch.items():\n", " print(k,v.shape)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "13yW9QN8y7Bu", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "ef47ac40-3d80-499c-d5b1-8b13e5070941" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " tensor([0, 0, 0, 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"are tensor([116, 113, 867, 154])\n", "class tensor([116, 113, 867, 154])\n", "ified tensor([116, 113, 867, 154])\n", "as tensor([116, 113, 867, 154])\n", "at tensor([116, 113, 867, 154])\n", "fair tensor([116, 113, 867, 154])\n", "value tensor([116, 113, 867, 154])\n", "The tensor([116, 113, 867, 154]) Text\n", "table tensor([116, 113, 867, 154])\n", "that tensor([116, 113, 867, 154])\n", "follow tensor([116, 113, 867, 154])\n", "s tensor([116, 113, 867, 154])\n", "summa tensor([116, 113, 867, 154])\n", "riz tensor([116, 113, 867, 154])\n", "es tensor([116, 113, 867, 154])\n", "the tensor([116, 113, 867, 154])\n", "carry tensor([116, 113, 867, 154])\n", "ing tensor([116, 113, 867, 154])\n", "amount tensor([116, 113, 867, 154])\n", "s tensor([116, 113, 867, 154])\n", "of tensor([116, 113, 867, 154])\n", "financial tensor([116, 113, 867, 154])\n", "assets tensor([116, 113, 867, 154])\n", "and tensor([116, 113, 867, 154])\n", "financial tensor([116, 113, 867, 154])\n", "li tensor([116, 113, 867, 154])\n", "abili tensor([116, 113, 867, 154])\n", "ties tensor([116, 113, 867, 154])\n", "that tensor([116, 113, 867, 154])\n", "are tensor([116, 113, 867, 154])\n", "class tensor([116, 113, 867, 154])\n", "ified tensor([116, 113, 867, 154])\n", "as tensor([116, 113, 867, 154])\n", "at tensor([116, 113, 867, 154])\n", "fair tensor([116, 113, 867, 154])\n", "value tensor([116, 113, 867, 154])\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "2013 tensor([113, 173, 880, 331]) Table\n", "Investment tensor([116, 354, 322, 366]) Section-header\n", "s tensor([116, 354, 322, 366])\n", "for tensor([116, 354, 322, 366])\n", "general tensor([116, 354, 322, 366])\n", "account tensor([116, 354, 322, 366])\n", "The tensor([116, 370, 865, 441]) Text\n", "Group tensor([116, 370, 865, 441])\n", "manage tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "certain tensor([116, 370, 865, 441])\n", "portfolio tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "on tensor([116, 370, 865, 441])\n", "a tensor([116, 370, 865, 441])\n", "total tensor([116, 370, 865, 441])\n", "return tensor([116, 370, 865, 441])\n", "basis tensor([116, 370, 865, 441])\n", "which tensor([116, 370, 865, 441])\n", "have tensor([116, 370, 865, 441])\n", "been tensor([116, 370, 865, 441])\n", "design tensor([116, 370, 865, 441])\n", "ated tensor([116, 370, 865, 441])\n", "at tensor([116, 370, 865, 441])\n", "fair tensor([116, 370, 865, 441])\n", "value tensor([116, 370, 865, 441])\n", "through tensor([116, 370, 865, 441])\n", "profit tensor([116, 370, 865, 441])\n", "or tensor([116, 370, 865, 441])\n", "loss tensor([116, 370, 865, 441])\n", ". tensor([116, 370, 865, 441])\n", "The tensor([116, 370, 865, 441]) Text\n", "Group tensor([116, 370, 865, 441])\n", "manage tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "certain tensor([116, 370, 865, 441])\n", "portfolio tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "on tensor([116, 370, 865, 441])\n", "a tensor([116, 370, 865, 441])\n", "total tensor([116, 370, 865, 441])\n", "return tensor([116, 370, 865, 441])\n", "basis tensor([116, 370, 865, 441])\n", "which tensor([116, 370, 865, 441])\n", "have tensor([116, 370, 865, 441])\n", "been tensor([116, 370, 865, 441])\n", "design tensor([116, 370, 865, 441])\n", "ated tensor([116, 370, 865, 441])\n", "at tensor([116, 370, 865, 441])\n", "fair tensor([116, 370, 865, 441])\n", "value tensor([116, 370, 865, 441])\n", "through tensor([116, 370, 865, 441])\n", "profit tensor([116, 370, 865, 441])\n", "or tensor([116, 370, 865, 441])\n", "loss tensor([116, 370, 865, 441])\n", ". tensor([116, 370, 865, 441])\n", "The tensor([116, 370, 865, 441]) Text\n", "Group tensor([116, 370, 865, 441])\n", "manage tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "certain tensor([116, 370, 865, 441])\n", "portfolio tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "on tensor([116, 370, 865, 441])\n", "a tensor([116, 370, 865, 441])\n", "total tensor([116, 370, 865, 441])\n", "return tensor([116, 370, 865, 441])\n", "basis tensor([116, 370, 865, 441])\n", "which tensor([116, 370, 865, 441])\n", "have tensor([116, 370, 865, 441])\n", "been tensor([116, 370, 865, 441])\n", "design tensor([116, 370, 865, 441])\n", "ated tensor([116, 370, 865, 441])\n", "at tensor([116, 370, 865, 441])\n", "fair tensor([116, 370, 865, 441])\n", "value tensor([116, 370, 865, 441])\n", "through tensor([116, 370, 865, 441])\n", "profit tensor([116, 370, 865, 441])\n", "or tensor([116, 370, 865, 441])\n", "loss tensor([116, 370, 865, 441])\n", ". tensor([116, 370, 865, 441])\n", "The tensor([116, 370, 865, 441]) Text\n", "Group tensor([116, 370, 865, 441])\n", "manage tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "certain tensor([116, 370, 865, 441])\n", "portfolio tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "on tensor([116, 370, 865, 441])\n", "a tensor([116, 370, 865, 441])\n", "total tensor([116, 370, 865, 441])\n", "return tensor([116, 370, 865, 441])\n", "basis tensor([116, 370, 865, 441])\n", "which tensor([116, 370, 865, 441])\n", "have tensor([116, 370, 865, 441])\n", "been tensor([116, 370, 865, 441])\n", "design tensor([116, 370, 865, 441])\n", "ated tensor([116, 370, 865, 441])\n", "at tensor([116, 370, 865, 441])\n", "fair tensor([116, 370, 865, 441])\n", "value tensor([116, 370, 865, 441])\n", "through tensor([116, 370, 865, 441])\n", "profit tensor([116, 370, 865, 441])\n", "or tensor([116, 370, 865, 441])\n", "loss tensor([116, 370, 865, 441])\n", ". tensor([116, 370, 865, 441])\n", "The tensor([116, 370, 865, 441]) Text\n", "Group tensor([116, 370, 865, 441])\n", "manage tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "certain tensor([116, 370, 865, 441])\n", "portfolio tensor([116, 370, 865, 441])\n", "s tensor([116, 370, 865, 441])\n", "on tensor([116, 370, 865, 441])\n", "a tensor([116, 370, 865, 441])\n", "total tensor([116, 370, 865, 441])\n", "return tensor([116, 370, 865, 441])\n", "basis tensor([116, 370, 865, 441])\n", "which tensor([116, 370, 865, 441])\n", "have tensor([116, 370, 865, 441])\n", "been tensor([116, 370, 865, 441])\n", "design tensor([116, 370, 865, 441])\n", "ated tensor([116, 370, 865, 441])\n", "at tensor([116, 370, 865, 441])\n", "fair tensor([116, 370, 865, 441])\n", "value tensor([116, 370, 865, 441])\n", "through tensor([116, 370, 865, 441])\n", "profit tensor([116, 370, 865, 441])\n", "or tensor([116, 370, 865, 441])\n", "loss tensor([116, 370, 865, 441])\n", ". tensor([116, 370, 865, 441])\n", "Investment tensor([116, 461, 880, 532]) Text\n", "s tensor([116, 461, 880, 532])\n", "for tensor([116, 461, 880, 532])\n", "general tensor([116, 461, 880, 532])\n", "account tensor([116, 461, 880, 532])\n", "back tensor([116, 461, 880, 532])\n", "ing tensor([116, 461, 880, 532])\n", "insurance tensor([116, 461, 880, 532])\n", "and tensor([116, 461, 880, 532])\n", "investment tensor([116, 461, 880, 532])\n", "li tensor([116, 461, 880, 532])\n", "abili tensor([116, 461, 880, 532])\n", "ties tensor([116, 461, 880, 532])\n", ", tensor([116, 461, 880, 532])\n", "that tensor([116, 461, 880, 532])\n", "are tensor([116, 461, 880, 532])\n", "carried tensor([116, 461, 880, 532])\n", "at tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "value tensor([116, 461, 880, 532])\n", "with tensor([116, 461, 880, 532])\n", "changes tensor([116, 461, 880, 532])\n", "in tensor([116, 461, 880, 532])\n", "the tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "Investment tensor([116, 461, 880, 532]) Text\n", "s tensor([116, 461, 880, 532])\n", "for tensor([116, 461, 880, 532])\n", "general tensor([116, 461, 880, 532])\n", "account tensor([116, 461, 880, 532])\n", "back tensor([116, 461, 880, 532])\n", "ing tensor([116, 461, 880, 532])\n", "insurance tensor([116, 461, 880, 532])\n", "and tensor([116, 461, 880, 532])\n", "investment tensor([116, 461, 880, 532])\n", "li tensor([116, 461, 880, 532])\n", "abili tensor([116, 461, 880, 532])\n", "ties tensor([116, 461, 880, 532])\n", ", tensor([116, 461, 880, 532])\n", "that tensor([116, 461, 880, 532])\n", "are tensor([116, 461, 880, 532])\n", "carried tensor([116, 461, 880, 532])\n", "at tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "value tensor([116, 461, 880, 532])\n", "with tensor([116, 461, 880, 532])\n", "changes tensor([116, 461, 880, 532])\n", "in tensor([116, 461, 880, 532])\n", "the tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "Investment tensor([116, 461, 880, 532]) Text\n", "s tensor([116, 461, 880, 532])\n", "for tensor([116, 461, 880, 532])\n", "general tensor([116, 461, 880, 532])\n", "account tensor([116, 461, 880, 532])\n", "back tensor([116, 461, 880, 532])\n", "ing tensor([116, 461, 880, 532])\n", "insurance tensor([116, 461, 880, 532])\n", "and tensor([116, 461, 880, 532])\n", "investment tensor([116, 461, 880, 532])\n", "li tensor([116, 461, 880, 532])\n", "abili tensor([116, 461, 880, 532])\n", "ties tensor([116, 461, 880, 532])\n", ", tensor([116, 461, 880, 532])\n", "that tensor([116, 461, 880, 532])\n", "are tensor([116, 461, 880, 532])\n", "carried tensor([116, 461, 880, 532])\n", "at tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "value tensor([116, 461, 880, 532])\n", "with tensor([116, 461, 880, 532])\n", "changes tensor([116, 461, 880, 532])\n", "in tensor([116, 461, 880, 532])\n", "the tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "Investment tensor([116, 461, 880, 532]) Text\n", "s tensor([116, 461, 880, 532])\n", "for tensor([116, 461, 880, 532])\n", "general tensor([116, 461, 880, 532])\n", "account tensor([116, 461, 880, 532])\n", "back tensor([116, 461, 880, 532])\n", "ing tensor([116, 461, 880, 532])\n", "insurance tensor([116, 461, 880, 532])\n", "and tensor([116, 461, 880, 532])\n", "investment tensor([116, 461, 880, 532])\n", "li tensor([116, 461, 880, 532])\n", "abili tensor([116, 461, 880, 532])\n", "ties tensor([116, 461, 880, 532])\n", ", tensor([116, 461, 880, 532])\n", "that tensor([116, 461, 880, 532])\n", "are tensor([116, 461, 880, 532])\n", "carried tensor([116, 461, 880, 532])\n", "at tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "value tensor([116, 461, 880, 532])\n", "with tensor([116, 461, 880, 532])\n", "changes tensor([116, 461, 880, 532])\n", "in tensor([116, 461, 880, 532])\n", "the tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "Investment tensor([116, 461, 880, 532]) Text\n", "s tensor([116, 461, 880, 532])\n", "for tensor([116, 461, 880, 532])\n", "general tensor([116, 461, 880, 532])\n", "account tensor([116, 461, 880, 532])\n", "back tensor([116, 461, 880, 532])\n", "ing tensor([116, 461, 880, 532])\n", "insurance tensor([116, 461, 880, 532])\n", "and tensor([116, 461, 880, 532])\n", "investment tensor([116, 461, 880, 532])\n", "li tensor([116, 461, 880, 532])\n", "abili tensor([116, 461, 880, 532])\n", "ties tensor([116, 461, 880, 532])\n", ", tensor([116, 461, 880, 532])\n", "that tensor([116, 461, 880, 532])\n", "are tensor([116, 461, 880, 532])\n", "carried tensor([116, 461, 880, 532])\n", "at tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "value tensor([116, 461, 880, 532])\n", "with tensor([116, 461, 880, 532])\n", "changes tensor([116, 461, 880, 532])\n", "in tensor([116, 461, 880, 532])\n", "the tensor([116, 461, 880, 532])\n", "fair tensor([116, 461, 880, 532])\n", "Investment tensor([116, 550, 377, 562]) Section-header\n", "s tensor([116, 550, 377, 562])\n", "for tensor([116, 550, 377, 562])\n", "account tensor([116, 550, 377, 562])\n", "of tensor([116, 550, 377, 562])\n", "policy tensor([116, 550, 377, 562])\n", "holder tensor([116, 550, 377, 562])\n", "s tensor([116, 550, 377, 562])\n", "Investment tensor([116, 566, 861, 623]) Text\n", "s tensor([116, 566, 861, 623])\n", "held tensor([116, 566, 861, 623])\n", "for tensor([116, 566, 861, 623])\n", "account tensor([116, 566, 861, 623])\n", "of tensor([116, 566, 861, 623])\n", "policy tensor([116, 566, 861, 623])\n", "holder tensor([116, 566, 861, 623])\n", "s tensor([116, 566, 861, 623])\n", "compris tensor([116, 566, 861, 623])\n", "e tensor([116, 566, 861, 623])\n", "assets tensor([116, 566, 861, 623])\n", "that tensor([116, 566, 861, 623])\n", "are tensor([116, 566, 861, 623])\n", "link tensor([116, 566, 861, 623])\n", "ed tensor([116, 566, 861, 623])\n", "to tensor([116, 566, 861, 623])\n", "various tensor([116, 566, 861, 623])\n", "insurance tensor([116, 566, 861, 623])\n", "and tensor([116, 566, 861, 623])\n", "investment tensor([116, 566, 861, 623])\n", "contract tensor([116, 566, 861, 623])\n", "s tensor([116, 566, 861, 623])\n", "for tensor([116, 566, 861, 623])\n", "Investment tensor([116, 566, 861, 623]) Text\n", "s tensor([116, 566, 861, 623])\n", "held tensor([116, 566, 861, 623])\n", "for tensor([116, 566, 861, 623])\n", "account tensor([116, 566, 861, 623])\n", "of tensor([116, 566, 861, 623])\n", "policy tensor([116, 566, 861, 623])\n", "holder tensor([116, 566, 861, 623])\n", "s tensor([116, 566, 861, 623])\n", "compris tensor([116, 566, 861, 623])\n", "e tensor([116, 566, 861, 623])\n", "assets tensor([116, 566, 861, 623])\n", "that tensor([116, 566, 861, 623])\n", "are tensor([116, 566, 861, 623])\n", "link tensor([116, 566, 861, 623])\n", "ed tensor([116, 566, 861, 623])\n", "to tensor([116, 566, 861, 623])\n", "various tensor([116, 566, 861, 623])\n", "insurance tensor([116, 566, 861, 623])\n", "and tensor([116, 566, 861, 623])\n", "investment tensor([116, 566, 861, 623])\n", "contract tensor([116, 566, 861, 623])\n", "s tensor([116, 566, 861, 623])\n", "for tensor([116, 566, 861, 623])\n", "Investment tensor([116, 566, 861, 623]) Text\n", "s tensor([116, 566, 861, 623]) Text\n", "held tensor([116, 566, 861, 623]) Text\n", "for tensor([116, 566, 861, 623]) Text\n", "account tensor([116, 566, 861, 623]) Text\n", "of tensor([116, 566, 861, 623]) Text\n", "policy tensor([116, 566, 861, 623]) Text\n", "holder tensor([116, 566, 861, 623]) Text\n", "s tensor([116, 566, 861, 623]) Text\n", "compris tensor([116, 566, 861, 623]) Text\n", "e tensor([116, 566, 861, 623]) Text\n", "assets tensor([116, 566, 861, 623]) Text\n", "that tensor([116, 566, 861, 623]) Text\n", " tensor([0, 0, 0, 0])\n" ] } ], "source": [ "for id, box, label in zip(batch[\"input_ids\"][0], batch[\"bbox\"][0], batch[\"labels\"][0]):\n", " if label.item() != -100:\n", " print(tokenizer.decode([id]), box, id2label[label.item()])\n", " else:\n", " print(tokenizer.decode([id]), box)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 125 }, "id": "HrUSyMnR_4Oz", "outputId": "96c71cbe-eff6-471c-8bd8-016da1def6d5" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "' Notes to the consolidated financial statements of Aegon N.V. Notes to the consolidated financial statements of Aegon N.V. Notes to the consolidated financial statements of Aegon N.V. 50 50 The table that follows summarizes the carrying amounts of financial assets and financial liabilities that are classified as at fair value The table that follows summarizes the carrying amounts of financial assets and financial liabilities that are classified as at fair value The table that follows summarizes the carrying amounts of financial assets and financial liabilities that are classified as at fair value 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 Investments for general account The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. The Group manages certain portfolios on a total return basis which have been designated at fair value through profit or loss. Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for general account backing insurance and investment liabilities, that are carried at fair value with changes in the fair Investments for account of policyholders Investments held for account of policyholders comprise assets that are linked to various insurance and investment contracts for Investments held for account of policyholders comprise assets that are linked to various insurance and investment contracts for Investments held for account of policyholders comprise assets that'" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "string" } }, "metadata": {}, "execution_count": 40 } ], "source": [ "tokenizer.decode(batch[\"input_ids\"][0])" ] }, { "cell_type": "markdown", "metadata": { "id": "u-O6CIP1AhE6" }, "source": [ "## Define model" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 117, "referenced_widgets": [ "37cd6e25d1be442596dabd933801009c", "d72e8d32cc0c46b7ae2cd91552801e70", "12f673ef43ef4da4b5c40d6c0de9aa68", "c1c737c0035f4f0dbe1568aae42000a0", "fe18219e296d493f96453866334090c8", "e7bb62d4f87f461680a4dad91b62c14e", "7712d1745adb40aa8247738157983cfd", "d10c489a53194081951aa39d23b5fad7", "e691162cc236466192138b1af93571a9", "486745dfe3cd41d1a379e55c1b1dfc77", "ec224defbfb1411490e853c4561e4541", "879cbccc8e3f4708bdd12e5f03315881", "6558e5c268b9437d9f2ebfa6aed88130", "af1aab09b2534b9b9ae1a1dd83051fc1", 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00Page-headerPresidential Decree No. 1067, s. 1976 | Offici...[0, 0, 300, 9]
11Page-headerhttps://www.officialgazette.gov.ph/1976/12/31/...[313, 0, 611, 9]
22List-itemd.\\nFisheries[45, 17, 104, 30]
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1515Textd. All decrees, laws, acts, parts of acts, Rul...[45, 742, 586, 755]
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No vested or acquired right to the... \n14 14 Text against the law or which infringe upon the rig... \n15 15 Text ARTICLE 97. Acts and contracts under the regim... \n16 16 Text respected, subject to the limitations establis... \n17 17 Text contracts after the promulgation of this Code,... \n18 18 Text ARTICLE 98. Interim rules and regulations prom... \n19 19 Text effect, when not in conXict with the provision... \n20 20 Text ARTICLE 99. If any provision or part of this C... \n21 21 Text declared unconstitutional or invalid for any r... \n22 22 Text ARTICLE 100. The following laws, parts and/or ... \n23 23 Text a. \n24 24 Text The provisions of the Spanish Law on Waters of... \n25 25 Text Civil Code of the Philippines (R.A. 386) on ow... \n26 26 Text public waters and acquisitive prescription on ... \n27 27 Text of this Code; \n28 28 Text b. \n29 29 Text The provisions of R.A. 6395, otherwise known a... \n30 30 Text particularly section 3, paragraph (f), and sec... \n31 31 Text and the grant thereof; \n32 32 Text c. \n33 33 Text The provisions of Act No. 2152, as amended, ot... \n34 34 Text paragraphs (k) and (m) of P.D. 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00Page-headerPresidential Decree No. 1067, s. 1976 | Offici...[0, 0, 300, 9]
11Page-headerhttps://www.officialgazette.gov.ph/1976/12/31/...[313, 0, 611, 9]
22List-itemd.[45, 17, 52, 30]
33List-itemFisheries[57, 17, 104, 30]
44List-iteme.[45, 52, 56, 65]
55List-itemLivestock raising[62, 52, 143, 65]
66List-itemf.[45, 87, 56, 100]
77List-itemIndustrial use, and[61, 87, 148, 100]
88List-itemg.[45, 122, 53, 135]
99List-itemOther uses.[59, 122, 116, 135]
1010TextAny claim not registered within said period sh...[24, 157, 586, 170]
1111Textabandoned, and the water shall thereupon be av...[24, 178, 586, 191]
1212Textwith the provisions of this Code.[24, 199, 187, 212]
1313TextARTICLE 96. No vested or acquired right to the...[24, 234, 586, 247]
1414Textagainst the law or which infringe upon the rig...[24, 254, 320, 268]
1515TextARTICLE 97. Acts and contracts under the regim...[24, 289, 586, 302]
1616Textrespected, subject to the limitations establis...[24, 310, 586, 323]
1717Textcontracts after the promulgation of this Code,...[24, 331, 465, 344]
1818TextARTICLE 98. Interim rules and regulations prom...[24, 366, 586, 379]
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