TeamTat | Text annotation tool for team collaboration | Data Labeling library

by ncbi-nlp JavaScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | TeamTat Summary

TeamTat is a JavaScript library typically used in Artificial Intelligence, Data Labeling applications. TeamTat has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Text annotation tool for team collaboration

Support

Quality

Security

License

Reuse

Support

TeamTat has a low active ecosystem.

It has 29 star(s) with 11 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 0 have been closed. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of TeamTat is current.

Quality

TeamTat has 0 bugs and 0 code smells.

Security

TeamTat has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TeamTat code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TeamTat is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

TeamTat releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 24548 lines of code, 486 functions and 344 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed TeamTat and discovered the below as its top functions. This is intended to give you an instant insight into TeamTat implemented functionality, and help decide if they suit your requirements.

Upload an iframe to be uploaded
Creates a morphdom factory .
Migrate to DOM nodes .
submit a form
executed when the document is loaded
Parse template spec
Defines the promise that will be resolved when promises is resolved
Constructs a new Smart photo .
Set up submit buttons
Process a relative number .

Get all kandi verified functions for this library.

TeamTat Key Features

No Key Features are available at this moment for TeamTat.

TeamTat Examples and Code Snippets

No Code Snippets are available at this moment for TeamTat.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

...

ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

...

ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

...

ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install TeamTat

We need to install Docsplit to process PDF properly. http://documentcloud.github.io/docsplit/.
You need to generate a new key and secrets. First, remove the credential file, then you need to input the following information. You can generate your own google id from https://console.developers.google.com and reCAPTCHA key from https://www.google.com/recaptcha/admin.
Download the source code from the Git repository. Currently the repository is private. So you need a permission to access it. Soon, it will be transferred to a public repository such as NCBI GitHub repository.
Configure config/database.yml
You need to generate a new key and secrets. First, remove the credential file, then you need to input the following information.
Install ruby packages and create database
Run the server on the local computer
Open the site from you web browser, such as Google Chrome

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: