annotation-platform | An annotation platform for NLP using open-source software | Data Labeling library

 by   nahumsa Python Version: Current License: Apache-2.0

kandi X-RAY | annotation-platform Summary

kandi X-RAY | annotation-platform Summary

annotation-platform is a Python library typically used in Artificial Intelligence, Data Labeling applications. annotation-platform has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However annotation-platform build file is not available. You can download it from GitHub.

The Annotation Platform is an open-source project aimed at providing a scalable and flexible annotation platform using Argilla as the annotation layer. The core idea of the project is to provide a simple and intuitive user interface for annotating on any dataset efficiently. The platform has two APIs, one for the ingestion layer, and another for the serving layer, to simplify the integration process with other applications. The ingestion API is used to upload data and annotations to the platform, while the serving API is used to retrieve annotations for processed data. The goal of the Annotation Platform is to make it highly scalable and easy to maintain. Please note that this is still in development, and there may be some limitations or issues as we continue to refine in following versions.
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              annotation-platform has a low active ecosystem.
              It has 5 star(s) with 0 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 9 have been closed. On average issues are closed in 13 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of annotation-platform is current.

            kandi-Quality Quality

              annotation-platform has no bugs reported.

            kandi-Security Security

              annotation-platform has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              annotation-platform is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              annotation-platform releases are not available. You will need to build from source code and install.
              annotation-platform has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            annotation-platform Key Features

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            annotation-platform Examples and Code Snippets

            No Code Snippets are available at this moment for annotation-platform.

            Community Discussions

            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

            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 annotation-platform

            You can download it from GitHub.
            You can use annotation-platform like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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 .
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