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For new data generation Semi-supervised-sequence-learning-Project we have writtern a python script to fetchπŸ“Š, data from the πŸ’», imdb website 🌐 and converted into txt files.

active 2024-10-03 β†’ 2024-10-03 (UTC)

Partial coverage16,422 / 20,723 hourly files (79%) Β· 2 absent upstream Β· 4,300 failed, retryable2024-03-31 β†’ 2026-08-12 (UTC)β€” sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
2
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-10-03 to 2024-10-03. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments β€” stars and forks excluded, so this is contribution rather than popularity

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LifeHashed1100

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No issue or PR events β€” this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals β€” 0 stars here means stars gained during the window, not the repo's star count.