Shuffle image groups within native splits with seed 0; preserve all examples
Browse files- README.md +3 -2
- data/test-00000-of-00002.parquet +2 -2
- data/test-00001-of-00002.parquet +2 -2
- data/train-00000-of-00009.parquet +2 -2
- data/train-00001-of-00009.parquet +2 -2
- data/train-00002-of-00009.parquet +2 -2
- data/train-00003-of-00009.parquet +2 -2
- data/train-00004-of-00009.parquet +2 -2
- data/train-00005-of-00009.parquet +2 -2
- data/train-00006-of-00009.parquet +2 -2
- data/train-00007-of-00009.parquet +2 -2
- data/train-00008-of-00009.parquet +2 -2
- provenance.json +8 -2
README.md
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@@ -24,7 +24,7 @@ dataset_info:
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- name: train
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num_bytes: 2286302065
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num_examples: 49820
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-
download_size:
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dataset_size: 2542962524
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configs:
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- config_name: default
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@@ -47,9 +47,10 @@ questions are omitted; no distractors are generated. Options retain source
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order, equivalent duplicates collapse, and gold indices are remapped.
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Embedded option blocks are removed before Jev permutation. Screenshots are
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grouped across QAs and test images take precedence over training copies.
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Procedural game labels are used; generated rationales are excluded from inputs.
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Original source declares MIT. No validation split is fabricated.
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Original data: [OpenMOSS-Team/GameQA-140K](https://huggingface.co/datasets/OpenMOSS-Team/GameQA-140K). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/games.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/games.py#
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[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.
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- name: train
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num_bytes: 2286302065
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num_examples: 49820
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download_size: 2543457015
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dataset_size: 2542962524
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configs:
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- config_name: default
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order, equivalent duplicates collapse, and gold indices are remapped.
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Embedded option blocks are removed before Jev permutation. Screenshots are
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grouped across QAs and test images take precedence over training copies.
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Image groups are shuffled within each native split with seed 0; QA order is retained.
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Procedural game labels are used; generated rationales are excluded from inputs.
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Original source declares MIT. No validation split is fabricated.
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+
Original data: [OpenMOSS-Team/GameQA-140K](https://huggingface.co/datasets/OpenMOSS-Team/GameQA-140K). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/games.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/games.py#L110).
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[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.
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data/test-00000-of-00002.parquet
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data/test-00001-of-00002.parquet
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data/train-00000-of-00009.parquet
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data/train-00002-of-00009.parquet
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data/train-00003-of-00009.parquet
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data/train-00006-of-00009.parquet
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data/train-00007-of-00009.parquet
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data/train-00008-of-00009.parquet
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provenance.json
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"questions": 80379
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}
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},
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"conversion_sha256": "
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"excluded_rows": 50935,
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"license": "mit",
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"license_url": "https://huggingface.co/datasets/OpenMOSS-Team/GameQA-140K",
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"misaligned_source_options": 668,
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"heldout_image_or_layout": 4818
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},
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"annotation_provenance": "procedural game/solver labels; source rationales and hidden states are never model inputs"
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}
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"questions": 80379
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}
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},
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"conversion_sha256": "9f0edc15ccd6aae253686be09e32542cca5f5c7e0e7f86e8ecfd5d67e5057b3d",
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"excluded_rows": 50935,
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"license": "mit",
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"license_url": "https://huggingface.co/datasets/OpenMOSS-Team/GameQA-140K",
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"misaligned_source_options": 668,
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"heldout_image_or_layout": 4818
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},
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"annotation_provenance": "procedural game/solver labels; source rationales and hidden states are never model inputs",
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"ordering": {
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"method": "datasets.shuffle",
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"seed": 0,
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"unit": "image_group",
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"within": "native_split"
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}
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}
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