Skip to content

模型微调 Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"

active 2023-12-272026-05-23 (UTC)

Partial coverage20,526 / 26,282 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
169
Pushes
5
Pull requests
3
Issues
8
Stars
120
Forks
12

Activity over time

Daily event counts in the loaded window

Line chart, 879 days from 2023-12-27 to 2026-05-23. Pushes: 5 total, peak 2 in a day. Pull requests: 3 total, peak 1 in a day. Issues: 8 total, peak 4 in a day. Comments: 15 total, peak 3 in a day. Stars: 120 total, peak 10 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
thuwyh17517
Vanessa-Taing4002
Tomsawyerhu3002
newsbreakDuadua92020
HNUZCC1001
mengyahuUSTC-PU1000
coderpracticer1000
jwmueller1001
ogencoglu1001
michaelcalvinwood1001

Recent activity

Latest issues, pull requests and releases

  • Issue#14coderpracticer2025-01-25 08:22
    meet question when read source_info.josonl
  • Issue comment#2jwmueller2025-01-02 09:02
    Incorrect Labels
  • Pull request#11newsbreakDuadua92024-10-04 02:06
  • Pull request#10thuwyh2024-10-03 08:27
  • Pull request#10newsbreakDuadua92024-10-02 23:20
  • Issue comment#9Vanessa-Taing2024-09-24 04:49
    [BUG] ValueError(f"Could not find the transformer layer class {layer_class} in the model.")
  • Issue#9Vanessa-Taing2024-09-24 04:49
    [BUG] ValueError(f"Could not find the transformer layer class {layer_class} in the model.")
  • Issue comment#9HNUZCC2024-09-24 03:08
    [BUG] ValueError(f"Could not find the transformer layer class {layer_class} in the model.")
  • Issue comment#9thuwyh2024-09-06 02:03
    [BUG] ValueError(f"Could not find the transformer layer class {layer_class} in the model.")
  • Issue comment#9Vanessa-Taing2024-09-05 04:08
    [BUG] ValueError(f"Could not find the transformer layer class {layer_class} in the model.")
  • Issue comment#9thuwyh2024-09-05 03:20
    [BUG] ValueError(f"Could not find the transformer layer class {layer_class} in the model.")
  • Issue#9Vanessa-Taing2024-09-05 03:13
    [BUG] ValueError(f"Could not find the transformer layer class {layer_class} in the model.")
  • Issue#7thuwyh2024-09-05 02:41
    Question about the external data in rag
  • Issue#6thuwyh2024-09-05 02:40
    How to get the same model output?
  • Issue#8thuwyh2024-09-05 02:40
    Response-level Detection
  • Issue comment#8thuwyh2024-09-04 03:37
    Response-level Detection
  • Issue comment#2ogencoglu2024-08-10 18:15
    Incorrect Labels
  • Issue comment#7thuwyh2024-08-04 00:16
    Question about the external data in rag
  • Issue comment#7michaelcalvinwood2024-08-03 14:29
    Question about the external data in rag
  • Issue comment#7thuwyh2024-08-03 14:16
    Question about the external data in rag
  • Issue comment#6Tomsawyerhu2024-08-02 05:54
    How to get the same model output?
  • Issue comment#6Tomsawyerhu2024-08-02 05:37
    How to get the same model output?
  • Issue comment#6thuwyh2024-08-02 03:52
    How to get the same model output?
  • Issue#6Tomsawyerhu2024-08-02 01:20
    How to get the same model output?
  • Issue comment#3thuwyh2024-06-17 03:28
    which F1 is the reported one?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 120 stars here means stars gained during the window, not the repo's star count.