A 30000+ Chinese MRC dataset - Delta Reading Comprehension Dataset

Related tags

Text Data & NLPDRCD
Overview

Delta Reading Comprehension Dataset

台達閱讀理解資料集 Delta Reading Comprehension Dataset (DRCD) 屬於通用領域繁體中文機器閱讀理解資料集。 本資料集期望成為適用於遷移學習之標準中文閱讀理解資料集。 本資料集從2,108篇維基條目中整理出10,014篇段落,並從段落中標註出30,000多個問題

關於資料集之更詳細資訊請洽詢論文: For more information please refer to Paper https://arxiv.org/abs/1806.00920

Data format 資料格式

  • version : 資料集版本
  • data :
    • title : : 文章標題
    • id : : 文章編號
    • paragraphs :
      • id : : 文章編號_段落編號
      • context : : 段落內容
      • qas :
        • question : : 問題內容
        • id : : 文章編號_段落編號_問題編號
        • answers :
          • answer_start : text在文中位置
          • id : : "1"表示為人工標註的答案,"2"以上為人工答題的答案
          • text : : 答案內容

Example

{
"version": "1.3",
"data": [
  {
    "title": "基督新教",
    "id": "2128",
    "paragraphs": [
      {
        "context": "基督新教與天主教均繼承普世教會歷史上許多傳統教義,如三位一體、聖經作為上帝的啟示、原罪、認罪、最後審判等等,但有別於天主教和東正教,新教在行政上沒有單一組織架構或領導,而且在教義上強調因信稱義、信徒皆祭司, 以聖經作為最高權威,亦因此否定以教宗為首的聖統制、拒絕天主教教條中關於聖傳與聖經具同等地位的教導。新教各宗派間教義不盡相同,但一致認同五個唯獨:唯獨恩典:人的靈魂得拯救唯獨是神的恩典,是上帝送給人的禮物。唯獨信心:人唯獨藉信心接受神的赦罪、拯救。唯獨基督:作為人類的代罪羔羊,耶穌基督是人與上帝之間唯一的調解者。唯獨聖經:唯有聖經是信仰的終極權威。唯獨上帝的榮耀:唯獨上帝配得讚美、榮耀",
        "id": "2128-2",
        "qas": [
          {
            "id": "2128-2-1",
            "question": "新教在教義上強調信徒皆祭司以及什麼樣的理念?",
            "answers": [
              {
                "id": "1",
                "text": "因信稱義",
                "answer_start": 92
              }
            ]
          },
          {
            "id": "2128-2-2",
            "question": "哪本經典為新教的最高權威?",
            "answers": [
              {
                "id": "1",
                "text": "聖經",
                "answer_start": 105
              }
            ]
          },
          {
            "id": "2128-2-3",
            "question": "新教認同幾個唯獨?",
            "answers": [
              {
                "id": "1",
                "text": "五個",
                "answer_start": 171
              }
            ]
          },
          {
            "id": "2128-2-4",
            "question": "文中提及,人唯獨藉信心接受神的赦罪、拯救,此為哪一種唯獨?",
            "answers": [
              {
                "id": "1",
                "text": "唯獨信心",
                "answer_start": 206
              }
            ]
          }
        ]
      },
      {
        "context": "主教制源自天主教的主教制度,幾乎和天主教的主教制度一模一樣,唯一不同的是主教亦可以結婚。天主教的主教制是在使徒們去世後於第二、三世紀興起的主教制度,所以可以說主教制是整個基督宗教中歷史最悠久的神職人員制度。現在行主教制的新教教會已經很少,聖公會就是沿用主教制,從教會制度和禮儀上看來,聖公會基本上屬大公教會傳統。路德宗和衛理公會則由各區會自行選擇使用主教制還是長老制;在香港和澳門,路德會和衛理公會就選用了長老制。然而,在歐洲,例如瑞典、芬蘭、挪威、德國等地,他們則通常採用主教制。長老制,是一個以議會形式管理區會的制度。議會內的成員由各教會選出長老,代表該教會出席會議。顧名思義,長老會就是採用長老制的教會。採用長老制的教會有基督教改革宗長老會、台灣基督長老教會、韓國基督長老教會等。",
        "id": "2128-3",
        "qas": [
          {
            "id": "2128-3-1",
            "question": "新教的主教制度源自於哪一教?",
            "answers": [
              {
                "id": "1",
                "text": "天主教",
                "answer_start": 5
              }
            ]
          },
          {
            "id": "2128-3-2",
            "question": "文中提及,新教的主教可以做什麼?",
            "answers": [
              {
                "id": "1",
                "text": "結婚",
                "answer_start": 41
              }
            ]
          },
          {
            "id": "2128-3-3",
            "question": "哪個會屬於大公教會傳統?",
            "answers": [
              {
                "id": "1",
                "text": "聖公會",
                "answer_start": 142
              }
            ]
          },
          {
            "id": "2128-3-4",
            "question": "以議會形式管理區會的制度,名為?",
            "answers": [
              {
                "id": "1",
                "text": "長老制",
                "answer_start": 241
              }
            ]
          }
        ]
      }
    ]
  }
]
}

Copyright Notice 版權聲明

本資料集整理、改編自維基百科,其內容以CC-BY-SA 3.0條款發布。 台達電子對於本資料集內容之正確性不為任何擔保,且不就因使用或倚賴本資料集而引致的任何損失,承擔任何責任。 CC-BY-SA 3.0相關條款請參考以下連結 http://creativecommons.org/licenses/by-sa/3.0/

DRCD is compiled and adapted from Wikipedia and its content is published under the terms of CC-BY-SA 3.0. Delta Electronics, Inc. makes no representations or warranties of the correctness of the contents of DRCD and will not be liable for any loss or damage arising from the use or reliance on DRCD.

CC-BY-SA 3.0 can be found at http://creativecommons.org/licenses/by-sa/3.0/

Contact us 聯繫我們

You might also like...
DELTA is a deep learning based natural language and speech processing platform.
DELTA is a deep learning based natural language and speech processing platform.

DELTA - A DEep learning Language Technology plAtform What is DELTA? DELTA is a deep learning based end-to-end natural language and speech processing p

CDLA: A Chinese document layout analysis (CDLA) dataset
CDLA: A Chinese document layout analysis (CDLA) dataset

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

A 10000+ hours dataset for Chinese speech recognition
A 10000+ hours dataset for Chinese speech recognition

A 10000+ hours dataset for Chinese speech recognition

Reading Wikipedia to Answer Open-Domain Questions
Reading Wikipedia to Answer Open-Domain Questions

DrQA This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions. Quick Link

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

Code repository for "It's About Time: Analog clock Reading in the Wild"

it's about time Code repository for "It's About Time: Analog clock Reading in the Wild" Packages required: pytorch (used 1.9, any reasonable version s

🐍 A hyper-fast Python module for reading/writing JSON data using Rust's serde-json.
🐍 A hyper-fast Python module for reading/writing JSON data using Rust's serde-json.

A hyper-fast, safe Python module to read and write JSON data. Works as a drop-in replacement for Python's built-in json module. This is alpha software

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.

Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode

Comments
  • Evaluation problem

    Evaluation problem

    According to the paper:

    F1 score and exact match from Rajpurkar et al. (2016) are used as the evaluation metrics. Both metrics ignore punctuations. In F1 score metric, we consider predictions and ground truth as bag of Chinese character.

    Is the ignored punctuations including fullwidth? Is there a original evaluation script for this dataset?

    opened by penut85420 2
  • Format conversion to SQuAD2.0

    Format conversion to SQuAD2.0

    When you used Bert-Chinese model to do the DRCD tasks like your paper told us, is there anything such as format conversion that we need to do first, and then we can use Bert-Chinese model to do DRCD tasks ?

    p.s. Format conversion means that convert DRCD format to SQuAD2.0 format.

    opened by allenyummy 1
  • Training set problem

    Training set problem

    In the paper, it said that "the training set contains 26,932 questions in 8,014 paragraphs". However, after calculating I found that I got 26936 question's id in the json file.

    opened by Liangtaiwan 1
  • Dev problem

    Dev problem

    The dev set answers are duplicate in the same question. Also, in SQuAD dataset, it has 3 different answers in dev set and test set, so the human performance is much higher than your dataset in EM performance. Are you going to provide more answer?

    opened by Liangtaiwan 1
Releases(v1.0)
使用Mask LM预训练任务来预训练Bert模型。训练垂直领域语料的模型表征,提升下游任务的表现。

Pretrain_Bert_with_MaskLM Info 使用Mask LM预训练任务来预训练Bert模型。 基于pytorch框架,训练关于垂直领域语料的预训练语言模型,目的是提升下游任务的表现。 Pretraining Task Mask Language Model,简称Mask LM,即

Desmond Ng 24 Dec 10, 2022
Chatbot for the Chatango messaging platform

BroiestBot The baddest bot in the game right now. Uses the ch.py framework for joining Chantango rooms and responding to user messages. Commands If a

Todd Birchard 3 Jan 17, 2022
Contract Understanding Atticus Dataset

Contract Understanding Atticus Dataset This repository contains code for the Contract Understanding Atticus Dataset (CUAD), a dataset for legal contra

The Atticus Project 273 Dec 17, 2022
A workshop with several modules to help learn Feast, an open-source feature store

Workshop: Learning Feast This workshop aims to teach users about Feast, an open-source feature store. We explain concepts & best practices by example,

Feast 52 Jan 05, 2023
Yomichad - a Japanese pop-up dictionary that can display readings and English definitions of Japanese words

Yomichad is a Japanese pop-up dictionary that can display readings and English definitions of Japanese words, kanji, and optionally named entities. It is similar to yomichan, 10ten, and rikaikun in s

Jonas Belouadi 7 Nov 07, 2022
PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer

Cross-Covariance Image Transformer (XCiT) PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer L

Facebook Research 605 Jan 02, 2023
Mycroft Core, the Mycroft Artificial Intelligence platform.

Mycroft Mycroft is a hackable open source voice assistant. Table of Contents Getting Started Running Mycroft Using Mycroft Home Device and Account Man

Mycroft 6.1k Jan 09, 2023
NLP Core Library and Model Zoo based on PaddlePaddle 2.0

PaddleNLP 2.0拥有丰富的模型库、简洁易用的API与高性能的分布式训练的能力,旨在为飞桨开发者提升文本建模效率,并提供基于PaddlePaddle 2.0的NLP领域最佳实践。

6.9k Jan 01, 2023
[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Cambridge Language Technology Lab 61 Dec 10, 2022
Artificial Conversational Entity for queries in Eulogio "Amang" Rodriguez Institute of Science and Technology (EARIST)

🤖 Coeus - EARIST A.C.E 💬 Coeus is an Artificial Conversational Entity for queries in Eulogio "Amang" Rodriguez Institute of Science and Technology,

Dids Irwyn Reyes 3 Oct 14, 2022
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in alpha stag

Abel 211 Dec 28, 2022
Use PaddlePaddle to reproduce the paper:mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

MT5_paddle Use PaddlePaddle to reproduce the paper:mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer English | 简体中文 mT5: A Massively

2 Oct 17, 2021
Code for paper "Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features"

Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features Train python main.py --dataset brazil-flights C

wang zhang 0 Jun 28, 2022
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

VILLA: Vision-and-Language Adversarial Training This is the official repository of VILLA (NeurIPS 2020 Spotlight). This repository currently supports

Zhe Gan 109 Dec 31, 2022
Fast, DB Backed pretrained word embeddings for natural language processing.

Embeddings Embeddings is a python package that provides pretrained word embeddings for natural language processing and machine learning. Instead of lo

Victor Zhong 212 Nov 21, 2022
Open-World Entity Segmentation

Open-World Entity Segmentation Project Website Lu Qi*, Jason Kuen*, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip Torr, Jiaya Jia This projec

DV Lab 408 Dec 29, 2022
This is a NLP based project to extract effective date of the contract from their text files.

Date-Extraction-from-Contracts This is a NLP based project to extract effective date of the contract from their text files. Problem statement This is

Sambhav Garg 1 Jan 26, 2022
Yet Another Sequence Encoder - Encode sequences to vector of vector in python !

Yase Yet Another Sequence Encoder - encode sequences to vector of vectors in python ! Why Yase ? Yase enable you to encode any sequence which can be r

Pierre PACI 12 Aug 19, 2021
Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning

Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning This is the PyTorch companion code for the paper: A

Amazon 69 Jan 03, 2023
A library for Multilingual Unsupervised or Supervised word Embeddings

MUSE: Multilingual Unsupervised and Supervised Embeddings MUSE is a Python library for multilingual word embeddings, whose goal is to provide the comm

Facebook Research 3k Jan 06, 2023