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harbor-datasets-mlab

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harbor-datasets-mlab

Commit History

  1. README: point at both arms

    danil-e
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    c057bfe

  2. Publish the C1 condition: exact per-task prompts, the layer, and its documentation

    danil-e
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    63196d0

  3. MLAgentBench protocol setup (improve a provided train.py); retire from-scratch tree

    danil-e
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    168aba3

  1. identify-contrails: note the ~1% positive-pixel imbalance and the all-empty-mask failure mode

    danil-e
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    77914b9

  2. Hardware section: strict device-resolution requirement (cuda/mps/cpu), forbid CUDA-only checks

    danil-e
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    84aa675

  1. Hardware hint: accelerator-agnostic (CUDA or Apple MPS)

    danil-e
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    159d873

  1. Dockerfiles: auto-select torch build (CUDA on x86_64, CPU on arm64); override with TORCH_VARIANT

    danil-e
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    64cd042

  2. Scorers: write numeric-only reward.json (Harbor rejects string fields); diagnostics to stdout

    danil-e
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    a5adf6a

  3. README: document self-contained task images (no external base image/repo/token)

    danil-e
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    1a1fb06

  4. Self-contained task images (FROM python:3.12-slim, own requirements.txt); remove external base-image and agent-specific coupling

    danil-e
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    e5a01d3

  1. README: fully agent-neutral (no agent names/specifics), generic -a <agent> run

    danil-e
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    b6b3c3c

  2. README: drop AutoDS-specific section; add docker-less (-e singularity) run option for any agent

    danil-e
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    42b1a7b

  3. Reframe README: general benchmark for any Harbor agent; AutoDS specifics optional

    danil-e
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    214f021

  4. README: present Docker (harbor) and venv as two explicit run options

    danil-e
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    aba7cfc

  5. Fix stale README/registry: single dataset, agent-neutral base instructions, data shipped on HF

    danil-e
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    bca0637

  6. Add original-competition evaluation details to the 4 full-data MLAB base instructions

    danil-e
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    370db35

  7. Add discretionary GPU hint to base instructions

    danil-e
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    1816197

  8. cifar10 -> full 50k/10k, imdb -> full 25k/25k

    danil-e
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    215ce78

  9. Add harbor scaffolding (task.toml/Dockerfile/prepare/tests) to the 4 full-data tasks

    danil-e
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    9e95f3d

  10. Add files using upload-large-folder tool

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  11. Add files using upload-large-folder tool

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  12. Add files using upload-large-folder tool

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    9e7d3ef

  13. Add files using upload-large-folder tool

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    5e26460

  14. Add files using upload-large-folder tool

    danil-e
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    26a869b

  15. Add files using upload-large-folder tool

    danil-e
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    fde5981

  16. Add files using upload-large-folder tool

    danil-e
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    b26df30

  17. Add files using upload-large-folder tool

    danil-e
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    b219135

  18. Add files using upload-large-folder tool

    danil-e
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    17de4bf

  19. Add files using upload-large-folder tool

    danil-e
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    9a41c7e

  20. Add files using upload-large-folder tool

    danil-e
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    b4c7e2c

  21. Add files using upload-large-folder tool

    danil-e
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    8b989c8

  22. Reset mlab-real for 1-folder-per-task restructure

    danil-e
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    8e353df

  23. Base instructions from original MLAgentBench repo; fix stale metadata (real data, 9 tasks)

    danil-e
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    11f463d

  1. Re-stage identify-contrails on enlarged real subset (~150 records)

    danil-e
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    91505aa

  1. Ship real data: spaceship-titanic-base

    danil-e
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    39980ce

  2. Ship real data: spaceship-titanic

    danil-e
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    0ec3e16

  3. Ship real data: ogbn-arxiv-base

    danil-e
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    45b8e54

  4. Ship real data: ogbn-arxiv

    danil-e
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    819c966

  5. Ship real data: imdb-base

    danil-e
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    69077a8

  6. Ship real data: imdb

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  7. Ship real data: house-price-base

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  8. Ship real data: house-price

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  9. Ship real data: feedback-base

    danil-e
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  10. Ship real data: feedback

    danil-e
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  11. Ship real data: cifar10-base

    danil-e
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    83b1bfa

  12. Ship real data: cifar10

    danil-e
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  13. Ship real data: amp-parkinsons-base

    danil-e
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  14. Ship real data: amp-parkinsons

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  15. Ship real vision task data (fathomnet + contrails)

    danil-e
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  16. Permissive .gitignore (private mirror ships data)

    danil-e
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