koco | Easy installer of kocohub dataset | Natural Language Processing library

 by   inmoonlight Python Version: 0.2.3 License: MIT

kandi X-RAY | koco Summary

kandi X-RAY | koco Summary

koco is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. koco has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install koco' or download it from GitHub, PyPI.

koco is a library to easily access kocohub datasets. kocohub contains KOrean COrpus for natural language processing.
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            kandi-support Support

              koco has a low active ecosystem.
              It has 20 star(s) with 1 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              koco has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of koco is 0.2.3

            kandi-Quality Quality

              koco has 0 bugs and 0 code smells.

            kandi-Security Security

              koco has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              koco code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              koco is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              koco releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              koco saves you 69 person hours of effort in developing the same functionality from scratch.
              It has 180 lines of code, 20 functions and 9 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed koco and discovered the below as its top functions. This is intended to give you an instant insight into koco implemented functionality, and help decide if they suit your requirements.
            • Load a dataset
            • List all available datasets
            • Patch a dataset
            • Download a dataset
            • Check if a dataset exists
            • Unzip a file
            • Creates directories if needed
            • Convert a dataset name to module name
            • Check if a directory exists
            • Check if the given dataset exists
            • Load dataset
            • Load train and test dataset
            • Read lines from file
            • Load unlabeled comments
            • Load test data
            • Return a list of required requirements
            Get all kandi verified functions for this library.

            koco Key Features

            No Key Features are available at this moment for koco.

            koco Examples and Code Snippets

            No Code Snippets are available at this moment for koco.

            Community Discussions

            Trending Discussions on koco

            QUESTION

            tkinter get input from entry
            Asked 2017-Jan-07 at 17:46

            I'm trying to get an Entry field from a method but my approach just doesn't seem to work.

            ...

            ANSWER

            Answered 2017-Jan-07 at 16:34

            Simple spelling error: you typed koko instead of koco in def bellos. Change

            Source https://stackoverflow.com/questions/41523617

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

            Vulnerabilities

            No vulnerabilities reported

            Install koco

            NOTE: The code is tested on Python 3.6.9.

            Support

            All Korean datasets with their publications or detailed documentations, bug reports, bug fixes, enhancements and ideas are welcome :tada: Feel free to ask questions via issues. I recommend to use an adequate label!.
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            Install
          • PyPI

            pip install koco

          • CLONE
          • HTTPS

            https://github.com/inmoonlight/koco.git

          • CLI

            gh repo clone inmoonlight/koco

          • sshUrl

            git@github.com:inmoonlight/koco.git

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