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kubernetes/kubernetes

1,819,990events in the captures
0models serving questions
2020 → 2026span of the captures
0results
oss · kubernetes__kubernetes · World model · public
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

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.