For making Tagtog annotation into csv dataset

Overview

tagtog_relation_extraction

  • for making Tagtog annotation into csv dataset

How to Use

On Tagtog

1. Go to Project > Downloads
2. Download all documents, using the button below Image

On Local

1. Place folders and files according to the structure specified below:

tagtog_relation_extraction
├──main.py
├──util.py
├──.gitignore
├──README.md
├──requirements.txt
└──Your_download_file_Name
   ├──annotations-legend.json
   ├──ann.json
   |  └──master
   |     └──pool/
   ├──plain.html
   |  └──pool/
   ├──guidelines.md
   └──README.md

2. Install other required packages

  • tqdm==4.62.3
  • pandas==1.1.5
  • beautifulsoup4==4.10.0
$ pip install -r $ROOT/tagtog_relation_extraction/requirements.txt

3. Run

$ python main.py --path Your_download_file_Name

Result

1. Dataset file (dataset.csv)

sentence: 가장 가능성이 높은 새 대안은 플랑크 상수를 통해 질량을 정의하는 방안이다.질량의 단위는 킬로그램 외에도 여러가지가 있는데, 그중 대표적인 단위가 바로 원자질량단위이다
sub_tag: {'word': '원자질량단위', 'start_idx': 85, 'end_idx': 90, 'type': 'POH'}
obj_tag: {'word': '플랑크 상수', 'start_idx': 17, 'end_idx': 22, 'type': 'POH'}
label: POH:no_relation'

2. File for checking answers (answer_check.csv)

  • csv file desgined for checking entity taggings and labels
  • example:
sentence: 가장 가능성이 높은 새 대안은 
   
    를 통해 질량을 정의하는 방안이다.질량의 단위는 킬로그램 외에도 여러가지가 있는데, 그중 대표적인 단위가 바로 
    
     이다	
sub_tag: POH
obj_tag: POH
label: POH:no_relation

    
   

Restrictions

  • Entity labels should follow the following form
SUBJ-{ENT_TYPE}-{RELATION_NAME}
OBJ-{ENT_TYPE}-{RELATION_NAME}
  • If this is not the case you might need some revision on the util.py file
Owner
hyeong
Data Analyst / AI Engineer CV:https://bit.ly/2YMgTXd
hyeong
Py-price-monitoring - A Python price monitor

A Python price monitor This project was focused on Brazil, so the monitoring is

Samuel 1 Jan 04, 2022
Produces a summary CSV report of an Amber Electric customer's energy consumption and cost data.

Amber Electric Usage Summary This is a command line tool that produces a summary CSV report of an Amber Electric customer's energy consumption and cos

Graham Lea 12 May 26, 2022
fds is a tool for Data Scientists made by DAGsHub to version control data and code at once.

Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc

DAGsHub 359 Dec 22, 2022
This creates a ohlc timeseries from downloaded CSV files from NSE India website and makes a SQLite database for your research.

NSE-timeseries-form-CSV-file-creator-and-SQL-appender- This creates a ohlc timeseries from downloaded CSV files from National Stock Exchange India (NS

PILLAI, Amal 1 Oct 02, 2022
Transform-Invariant Non-Negative Matrix Factorization

Transform-Invariant Non-Negative Matrix Factorization A comprehensive Python package for Non-Negative Matrix Factorization (NMF) with a focus on learn

EMD Group 6 Jul 01, 2022
Python data processing, analysis, visualization, and data operations

Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio

FangWei 1 Jan 16, 2022
BIGDATA SIMULATION ONE PIECE WORLD CENSUS

ONE PIECE is a Japanese manga of great international success. The story turns inhabited in a fictional world, tells the adventures of a young man whose body gained rubber properties after accidentall

Maycon Cypriano 3 Jun 30, 2022
PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j.

PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma

Ralph Seichter 11 Nov 24, 2022
Hidden Markov Models in Python, with scikit-learn like API

hmmlearn hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and

2.7k Jan 03, 2023
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms

MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is

Matrix Profile Foundation 302 Dec 29, 2022
OpenDrift is a software for modeling the trajectories and fate of objects or substances drifting in the ocean, or even in the atmosphere.

opendrift OpenDrift is a software for modeling the trajectories and fate of objects or substances drifting in the ocean, or even in the atmosphere. Do

OpenDrift 167 Dec 13, 2022
ETL flow framework based on Yaml configs in Python

ETL framework based on Yaml configs in Python A light framework for creating data streams. Setting up streams through configuration in the Yaml file.

Павел Максимов 18 Jul 06, 2022
A multi-platform GUI for bit-based analysis, processing, and visualization

A multi-platform GUI for bit-based analysis, processing, and visualization

Mahlet 529 Dec 19, 2022
NumPy and Pandas interface to Big Data

Blaze translates a subset of modified NumPy and Pandas-like syntax to databases and other computing systems. Blaze allows Python users a familiar inte

Blaze 3.1k Jan 05, 2023
This python script allows you to manipulate the audience data from Sl.ido surveys

Slido-Automated-VoteBot This python script allows you to manipulate the audience data from Sl.ido surveys Since Slido blocks interference from automat

Pranav Menon 1 Jan 24, 2022
Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which he recommends to buy. We will use this data to build a portfolio

Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which

Gábor Vecsei 12 Aug 30, 2022
Approximate Nearest Neighbor Search for Sparse Data in Python!

Approximate Nearest Neighbor Search for Sparse Data in Python! This library is well suited to finding nearest neighbors in sparse, high dimensional spaces (like text documents).

Meta Research 906 Jan 01, 2023
Program that predicts the NBA mvp based on data from previous years.

NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep

Muhammad Rabee 1 Jan 21, 2022
Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Damien Farrell 81 Dec 26, 2022
This repository contains some analysis of possible nerdle answers

Nerdle Analysis https://nerdlegame.com/ This repository contains some analysis of possible nerdle answers. Here's a quick overview: nerdle.py contains

0 Dec 16, 2022