pysemeval2010 | A loader of SemEval2010 task8 dataset for Python

by mayoyamasaki Python Version: Current License: Apache-2.0

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

kandi X-RAY | pysemeval2010 Summary

pysemeval2010 is a Python library. pysemeval2010 has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is a yet another dataset of SemEval2010 task 8.

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Quality

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Support

pysemeval2010 has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

pysemeval2010 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pysemeval2010 is current.

Quality

pysemeval2010 has no bugs reported.

Security

pysemeval2010 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pysemeval2010 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.

Reuse

pysemeval2010 releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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pysemeval2010 Key Features

No Key Features are available at this moment for pysemeval2010.

pysemeval2010 Examples and Code Snippets

No Code Snippets are available at this moment for pysemeval2010.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install pysemeval2010

You can download it from GitHub.
You can use pysemeval2010 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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