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cometadata/generic-resource-type-classification

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active 2025-05-072025-05-19 (UTC)

Complete coverage26,366 / 26,366 hourly files (100%) · 2 absent upstream2023-08-152026-08-17 (UTC)
Events
24
Pushes
2
Pull requests
0
Issues
13
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 13 days from 2025-05-07 to 2025-05-19. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 13 total, peak 11 in a day. Comments: 6 total, peak 2 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
DioneMentis15002
adambuttrick6204

Recent activity

Latest issues, pull requests and releases

  • Issue comment#13adambuttrick2025-05-19 04:54
    [EPIC] Generic Resource Type Classification
  • Issue comment#13adambuttrick2025-05-17 01:30
    [EPIC] Generic Resource Type Classification
  • Issue#1DioneMentis2025-05-14 14:48
    Request the dataset
  • Issue#13DioneMentis2025-05-14 12:37
    [EPIC] Generic Resource Type Classification
  • Issue comment#1adambuttrick2025-05-14 06:18
    Request the dataset
  • Issue comment#2adambuttrick2025-05-14 02:27
    Investigate records to identify patterns and metadata features
  • Issue comment#2DioneMentis2025-05-13 16:53
    Investigate records to identify patterns and metadata features
  • Issue#12DioneMentis2025-05-12 09:46
    Evaluate pipeline's performance and cost-effectiveness
  • Issue#11DioneMentis2025-05-12 09:45
    Train a new model on ETD formats
  • Issue#9DioneMentis2025-05-12 09:43
    Get data source
  • Issue#8DioneMentis2025-05-12 09:29
    Analyze metadata to flag records with missing or placeholder titles
  • Issue#7DioneMentis2025-05-12 09:18
    Get data sources
  • Issue comment#1DioneMentis2025-05-12 07:19
    Request the dataset
  • Issue#6DioneMentis2025-05-12 07:15
    Write up project findings and methodology
  • Issue#5DioneMentis2025-05-12 07:14
    Evaluate the model's performance
  • Issue#4DioneMentis2025-05-12 07:13
    Apply the model
  • Issue#3DioneMentis2025-05-12 07:12
    Develop a classification model
  • Issue#2DioneMentis2025-05-12 07:11
    Investigate records to identify patterns and metadata features
  • Issue#1DioneMentis2025-05-12 07:08
    Request the dataset

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