kubernetes/kubernetes · GitHub event streams · Factory

01 · Data

Dataset versions

A dataset version is a capture of the source as of a date: its event spine and the files training reads.

1 dataset version

kubernetes/kubernetes kubernetes__kubernetes @ asof-2026-06-26

pooled8 member; recorded where it is (Modal, rezendi, vei-oss-data/kubernetes__kubernetes); see REPORT.md

llm_report · REPORT.md

kubernetes__kubernetes@asof-2026-06-26 — data stage report

Recorded 2026-10-13 as part of the OSS line's migration to the factory. The data already existed and nothing was rematerialized.

Inputs, by identity. GitHub's event API for kubernetes/kubernetes, materialized into the OSS canonical spine. Pooled8 member. The raw captures stay external, on the archive drive and Modal.

Output, by identity. canonical_events.jsonl, 1,819,990 events from 2020-01-01T05:28:01Z to 2026-06-25T23:22:39Z. The spine is recorded where it already is (Modal, rezendi, vei-oss-data/kubernetes__kubernetes) and not copied into the registry.

Drift. Ingest-time check (drift.json, drift.txt): 1,819,990 events over 78 periods | structural types excluded: none; 5 verb flags, 8 volume flags. The OSS runs split each stream at its own time quantile, so no single calendar split applies across the pooled streams, and no split-time check was run here. Its absence is a caveat on any result.

Receipts (2)

drift.json

{
  "era": {
    "n_periods": 78,
    "n_events": 1819990,
    "structural_types": [],
    "verb_flags": [
      {
        "period": "2023-11",
        "verb": "review_changes_requested",
        "kind": "dropout",
        "count": 5,
        "trailing_median": 29.5,
        "ratio": 0.1694915254237288
      },
      {
        "period": "2023-12",
        "verb": "review_changes_requested",
        "kind": "dropout",
        "count": 5,
        "trailing_median": 25.0,
        "ratio": 0.2
      },
      {
        "period": "2026-06",
        "verb": "review_changes_requested",
        "kind": "dropout",
        "count": 5,
        "trailing_median": 25.0,
        "ratio": 0.2
      },
      {
        "period": "2024-11",
        "verb": "milestoned",
        "kind": "dropout",
        "count": 31,
        "trailing_median": 132.0,
        "ratio": 0.23484848484848486
      },
      {
        "period": "2022-04",
        "verb": "pr_merged",
        "kind": "dropout",
        "count": 80,
        "trailing_median": 325.0,
        "ratio": 0.24615384615384617
      }
    ],
    "volume_flags": [
      {
        "period": "2020-12",
        "n_events": 17812.0,
        "trailing_median": 27964.5,
        "ratio": 0.6369504192815891
      },
      {
        "period": "2021-03",
        "n_events": 43345.0,
        "trailing_median": 28205.0,
        "ratio": 1.5367842581102642
      },
      {
        "period": "2021-12",
        "n_events": 15871.0,
        "trailing_median": 24664.0,
        "ratio": 0.6434884852416477
      },
      {
        "period": "2022-04",
        "n_events": 14582.0,
        "trailing_median": 23411.0,
        "ratio": 0.6228695912178036
      },
      {
        "period": "2023-11",
        "n_events": 14449.0,
        "trailing_median": 23952.5,
        "ratio": 0.6032355703997495
      },
      {
        "period": "2023-12",
        "n_events": 12514.0,
        "trailing_median": 22033.0,
        "ratio": 0.5679662324694776
      },
      {
        "period": "2024-12",
        "n_events": 12683.0,
        "trailing_median": 23306.5,
        "ratio": 0.5441829532533843
      },
      {
        "period": "2025-07",
        "n_events": 26770.0,
        "trailing_median": 17497.5,
        "ratio": 1.5299328475496499
      }
    ],
    "trailing_periods": 6,
    "spike_ratio": 4.0
  },
  "split": null
}

drift.txt

[drift] 1,819,990 events over 78 periods | structural types excluded: none
[drift] ERA SUSPECT 2023-11: 'review_changes_requested' dropout 5 vs trailing median 29.5 (0.2x)
[drift] ERA SUSPECT 2023-12: 'review_changes_requested' dropout 5 vs trailing median 25 (0.2x)
[drift] ERA SUSPECT 2026-06: 'review_changes_requested' dropout 5 vs trailing median 25 (0.2x)
[drift] ERA SUSPECT 2024-11: 'milestoned' dropout 31 vs trailing median 132 (0.2x)
[drift] ERA SUSPECT 2022-04: 'pr_merged' dropout 80 vs trailing median 325 (0.2x)
[drift] VOLUME 2020-12: 17,812 events vs trailing median 27,964 (0.64x)
[drift] VOLUME 2021-03: 43,345 events vs trailing median 28,205 (1.54x)
[drift] VOLUME 2021-12: 15,871 events vs trailing median 24,664 (0.64x)
[drift] VOLUME 2022-04: 14,582 events vs trailing median 23,411 (0.62x)
[drift] VOLUME 2023-11: 14,449 events vs trailing median 23,952 (0.60x)
[drift] VOLUME 2023-12: 12,514 events vs trailing median 22,033 (0.57x)
[drift] VOLUME 2024-12: 12,683 events vs trailing median 23,306 (0.54x)
[drift] VOLUME 2025-07: 26,770 events vs trailing median 17,498 (1.53x)

4 files, 1.37 GB

Event spine · 1 file1.37 GB
canonical_events.jsonlac20f85b92071.37 GB
Receipt · 2 files3 kB
drift.json4fbc07011a022 kB
drift.txt39fdf486a8c01 kB
Phase_report · 1 file998 B
REPORT.md3f30c992a790998 B

Events: 1,819,990 in 1 stream
Span: 1 Jan 2020 → 25 Jun 2026
Source: GitHub events API
Published: 13 Oct 2026

0 modelsnothing trained over it yet

02 · Features

Featurization

An Atlas recipe declares how events become model inputs.

No feature recipe has been recorded.

An Atlas recipe appears here once a run that names it is published, or once the recipe itself is registered.

03 · Training

Recipes and runs

A Praxis recipe fixes the model, the objective and the split.

No run has been published.

A run is one execution of a training recipe over named dataset versions. The first one born inside the platform will appear here with its launch.

04 · Evaluation

How it compares to other methods

The models of record and their headline evaluations. Every result includes the ablations and earlier variants.

No results have been published for this project.

A result is a cell: the config, the target at a horizon, the arm and head, the split, the numbers and their provenance.

Needed: an eval config and an eval run of a published model

05 · Serving

Ask the model

If the query service is cold, it will need a few minutes to warm up.

Serving

idle

Nothing is serving yet.

A published run with a report or a query surface answers here.