For new data generation Semi-supervised-sequence-learning-Project we have writtern a python script to fetch📊, data from the 💻, imdb website 🌐 and converted into txt files.
This PR introduces an automatic labeling system to our project management platform. The system enhances issue management efficiency by automating the process of labeling issues based on predefined criteria. Manual labeling is time-consuming and prone to inconsistencies. Automating this process ensures consistent categorization across the project.
Type of PR
[x] Feature enhancement
Screenshots / videos (if applicable)
Checklist:
[x] I have performed a self-review of my code
[x] I have read and followed the Contribution Guidelines.
[x] I have tested the changes thoroughly before submitting this pull request.
[x] I have provided relevant issue numbers, screenshots, and videos after making the changes.
[x] I have commented my code, particularly in hard-to-understand areas.
Additional context:
This PR includes changes to introduce automatic labeling.
The labels "gssoc" and "good new issue" will be automatically added to newly opened issues.
Related Issue
fixes #194
Description
This PR introduces an automatic labeling system to our project management platform. The system enhances issue management efficiency by automating the process of labeling issues based on predefined criteria. Manual labeling is time-consuming and prone to inconsistencies. Automating this process ensures consistent categorization across the project.
Type of PR
Screenshots / videos (if applicable)
Checklist:
Additional context: