CDLA: A Chinese document layout analysis (CDLA) dataset

Related tags

Text Data & NLPCDLA
Overview

CDLA: A Chinese document layout analysis (CDLA) dataset

介绍

CDLA是一个中文文档版面分析数据集，面向中文文献类（论文）场景。包含以下10个label：

正文 标题 图片 图片标题 表格 表格标题 页眉 页脚 注释 公式
Text Title Figure Figure caption Table Table caption Header Footer Reference Equation

共包含5000张训练集和1000张验证集，分别在train和val目录下。每张图片对应一个同名的标注文件(.json)。

样例展示：

下载链接

标注格式

我们的标注工具是labelme，所以标注格式和labelme格式一致。这里说明一下比较重要的字段。

"shapes": shapes字段是一个list，里面有多个dict，每个dict代表一个标注实例。

"labels": 类别。

"points": 实例标注。因为我们的标注是Polygon形式，所以points里的坐标数量可能大于4。

"shape_type": "polygon"

"imagePath": 图片路径/名

"imageHeight": 高

"imageWidth": 宽

展示一个完整的标注样例:

{
  "version":"4.5.6",
  "flags":{},
  "shapes":[
    {
      "label":"Title",
      "points":[
        [
          553.1111111111111,
          166.59259259259258
        ],
        [
          553.1111111111111,
          198.59259259259258
        ],
        [
          686.1111111111111,
          198.59259259259258
        ],
        [
          686.1111111111111,
          166.59259259259258
        ]
      ],
      "group_id":null,
      "shape_type":"polygon",
      "flags":{}
    },
    {
      "label":"Text",
      "points":[
        [
          250.5925925925925,
          298.0740740740741
        ],
        [
          250.5925925925925,
          345.0740740740741
        ],
        [
          188.5925925925925,
          345.0740740740741
        ],
        [
          188.5925925925925,
          410.0740740740741
        ],
        [
          188.5925925925925,
          456.0740740740741
        ],
        [
          324.5925925925925,
          456.0740740740741
        ],
        [
          324.5925925925925,
          410.0740740740741
        ],
        [
          1051.5925925925926,
          410.0740740740741
        ],
        [
          1051.5925925925926,
          345.0740740740741
        ],
        [
          1052.5925925925926,
          345.0740740740741
        ],
        [
          1052.5925925925926,
          298.0740740740741
        ]
      ],
      "group_id":null,
      "shape_type":"polygon",
      "flags":{}
    },
    {
      "label":"Footer",
      "points":[
        [
          1033.7407407407406,
          1634.5185185185185
        ],
        [
          1033.7407407407406,
          1646.5185185185185
        ],
        [
          1052.7407407407406,
          1646.5185185185185
        ],
        [
          1052.7407407407406,
          1634.5185185185185
        ]
      ],
      "group_id":null,
      "shape_type":"polygon",
      "flags":{}
    }
  ],
  "imagePath":"val_0031.jpg",
  "imageData":null,
  "imageHeight":1754,
  "imageWidth":1240
}

转coco格式

执行命令:

# train
python3 labelme2coco.py CDLA_dir/train train_save_path  --labels labels.txt

# val
python3 labelme2coco.py CDLA_dir/val val_save_path  --labels labels.txt

转换结果保存在train_save_path/val_save_path目录下。

labelme2coco.py取自labelme，更多信息请参考labelme官方项目

Owner
buptlihang
buptlihang
GitHub Repository
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

ELECTRA Introduction ELECTRA is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using

Google Research 2.1k Dec 28, 2022
AI_Assistant - This is a Python based Voice Assistant.

This is a Python based Voice Assistant. This was programmed to increase my understanding of python and also how the in-general Voice Assistants work.

1 Jan 06, 2022
🏆 • 5050 most frequent words in 109 languages

🏆 Most Common Words Multilingual 5000 most frequent words in 109 languages. Uses wordfrequency.info as a source. 🔗 License source code license data

14 Nov 24, 2022
Pytorch-version BERT-flow: One can apply BERT-flow to any PLM within Pytorch framework.

Pytorch-version BERT-flow: One can apply BERT-flow to any PLM within Pytorch framework.

Ubiquitous Knowledge Processing Lab 59 Dec 01, 2022
Natural Language Processing with transformers

we want to create a repo to illustrate usage of transformers in chinese

Datawhale 763 Dec 27, 2022
Code for the ACL 2021 paper "Structural Guidance for Transformer Language Models"

Structural Guidance for Transformer Language Models This repository accompanies the paper, Structural Guidance for Transformer Language Models, publis

International Business Machines 10 Dec 14, 2022
English loanwords in the world's languages

Wiktionary as CLDF Content cldf1 and cldf2 contain cldf-conform data sets with a total of 2 377 756 entries about the vocabulary of all 1403 languages

Viktor Martinović 3 Jan 14, 2022
Blazing fast language detection using fastText model

Luga A blazing fast language detection using fastText's language models Luga is a Swahili word for language. fastText provides a blazing fast language

Prayson Wilfred Daniel 18 Dec 20, 2022
Coreference resolution for English, German and Polish, optimised for limited training data and easily extensible for further languages

Coreferee Author: Richard Paul Hudson, msg systems ag 1. Introduction 1.1 The basic idea 1.2 Getting started 1.2.1 English 1.2.2 German 1.2.3 Polish 1

msg systems ag 169 Dec 21, 2022
Tools, wrappers, etc... for data science with a concentration on text processing

Rosetta Tools for data science with a focus on text processing. Focuses on "medium data", i.e. data too big to fit into memory but too small to necess

207 Nov 22, 2022
TFPNER: Exploration on the Named Entity Recognition of Token Fused with Part-of-Speech

TFPNER TFPNER: Exploration on the Named Entity Recognition of Token Fused with Part-of-Speech Named entity recognition (NER), which aims at identifyin

1 Feb 07, 2022
Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

This repository contains code for the following two papers: VisualBERT: A Simple and Performant Baseline for Vision and Language (arxiv) with a short

Natural Language Processing @UCLA 464 Jan 04, 2023
🤖 Basic Financial Chatbot with handoff ability built with Rasa

Financial Services Example Bot This is an example chatbot demonstrating how to build AI assistants for financial services and banking with Rasa. It in

Mohammad Javad Hossieni 4 Aug 10, 2022
This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.

Text Summarizer This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text. Team Members This mini-project was

1 Nov 16, 2021
Neural text generators like the GPT models promise a general-purpose means of manipulating texts.

Boolean Prompting for Neural Text Generators Neural text generators like the GPT models promise a general-purpose means of manipulating texts. These m

Jeffrey M. Binder 20 Jan 09, 2023
Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

ConSERT Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer Requirements torch==1.6.0

Yan Yuanmeng 478 Dec 25, 2022
Big Bird: Transformers for Longer Sequences

BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the c

Google Research 457 Dec 23, 2022
AudioCLIP Extending CLIP to Image, Text and Audio

AudioCLIP Extending CLIP to Image, Text and Audio This repository contains implementation of the models described in the paper arXiv:2106.13043. This

458 Jan 02, 2023
Simple bots or Simbots is a library designed to create simple bots using the power of python. This library utilises Intent, Entity, Relation and Context model to create bots .

Simple bots or Simbots is a library designed to create simple chat bots using the power of python. This library utilises Intent, Entity, Relation and

14 Dec 15, 2021
The ibet-Prime security token management system for ibet network.

ibet-Prime The ibet-Prime security token management system for ibet network. Features ibet-Prime is an API service that enables the issuance and manag

BOOSTRY 8 Dec 22, 2022