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datalab-to/omni_extract_bench

A consistent, fair, benchmark for structured extraction.

#LLM evaluation
Visit GitHub
Python
37
6
2 contributors
Apache License 2.0
website
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Momentum

How fast datalab-to/omni_extract_bench is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 10 – Oct 27, 2026

Stars +35 in 48 days

024
4

Forks +6 in 48 days

012
2

Merged PRs 27 in 48 days

0510
8

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 10Sep 16Sep 22Sep 28Oct 4Oct 10Oct 16Oct 22
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Thu, Sep 10, 2026+0+01
Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+0+00
Sun, Sep 13, 2026+0+00
Mon, Sep 14, 2026+0+00
Tue, Sep 15, 2026+0+00
Wed, Sep 16, 2026+2+08
Thu, Sep 17, 2026+4+00
Fri, Sep 18, 2026+0+20
Sat, Sep 19, 2026+2+00
Sun, Sep 20, 2026+0+00
Mon, Sep 21, 2026+0+02
Tue, Sep 22, 2026+0+05
Wed, Sep 23, 2026+1+03
Thu, Sep 24, 2026+1+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+0+01
Fri, Oct 2, 2026+3+00
Sat, Oct 3, 2026+1+00
Sun, Oct 4, 2026+2+00
Mon, Oct 5, 2026+4+20
Tue, Oct 6, 2026+3+00
Wed, Oct 7, 2026+1+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+1+00
Sat, Oct 10, 2026+1+00
Sun, Oct 11, 2026+1+00
Mon, Oct 12, 2026+1+00
Tue, Oct 13, 2026+4+10
Wed, Oct 14, 2026+0+04
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+02
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+1+11
Tue, Oct 20, 2026+1+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+0+00
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+00
Mon, Oct 26, 2026+0+00
Tue, Oct 27, 2026+1+00
Total+35+627
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 23 posts
    • Datalab released an open benchmark for structured extraction: a system gets a PDF and a JSON schema, and every returned value is scored against gold data.

      Read full on Reddit

      r/AIDeveloperNews

    • Datalab released an open benchmark for structured extraction: a system gets a PDF and a JSON schema, and every returned value is scored against gold data.

      Read full on Reddit

      r/OpenSourceeAI

    • Datalab Releases OmniExtractBench to Fix Bias and Opacity in Extraction Benchmarks

      Read full on Reddit

      r/machinelearningnews

  2. 9 days earlier
  3. Sep 231 post
    • Why did we release this? Current toolkits make it difficult to: 1. Understand the internals of the final metrics; and 2. Predict and/or score on your own data. This leads to choosing the wrong model…

      Read full on X, posted by @datalabto

      @datalabto · x.com

  4. 7 days earlier
  5. Sep 161 post
    • We built this to fix significant errors in other benchmarks. One example (of dozens) is that the same number of mistakes in a table can score either 100% or 0% in LongExtractionBench. Read more about…

      Read full on X, posted by @VikParuchuri

      @VikParuchuri · x.com

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