Spatial MMCoT v1: summary, merged index, stage reports
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README.md
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@@ -33,6 +33,11 @@ Spatial reasoning data in one interleaved format: input image(s) and a question,
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Every thought was rewritten by Qwen3.8-27B (thinking mode, prompt v4.1) from the row's own pictures, question, options and answer; the images, questions, options and answers are those of the previous release (r3), checked row by row. This is the subset used for training: 740 rows `label_doubt`, 77 rows `over_budget`, 1 rows `R.no_rewrite` are removed (each source's `reports/subset_dropped.jsonl` names them), and two r3 sources, `cova` and `zebra_tetris`, are left out because the self-check found their long chains drift (2.1 faithfulness errors per row on both). Their repositories keep the r3 rows and are not linked below. Each source card has an r4 section with its own counts and self-check.
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## Known issues
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Every source card has a **Known issues** section: rows with a measured per-row problem, listed in the source's `reports/known_issues/` so they can be filtered out (no row was removed for them), and measured caveats that cannot be listed row by row. Read it before training on a source.
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Every thought was rewritten by Qwen3.8-27B (thinking mode, prompt v4.1) from the row's own pictures, question, options and answer; the images, questions, options and answers are those of the previous release (r3), checked row by row. This is the subset used for training: 740 rows `label_doubt`, 77 rows `over_budget`, 1 rows `R.no_rewrite` are removed (each source's `reports/subset_dropped.jsonl` names them), and two r3 sources, `cova` and `zebra_tetris`, are left out because the self-check found their long chains drift (2.1 faithfulness errors per row on both). Their repositories keep the r3 rows and are not linked below. Each source card has an r4 section with its own counts and self-check.
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Also part of this release, outside the table below:
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- [`yrlyrl/spatial-mmcot-messytable_relabel`](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-messytable_relabel): `messytable_relabel`: real MessyTable photographs, counting and most-numerous questions asked again from MessyTable's own per-instance labels, the overhead camera's photo as the helper image; built by its own chain (tag mt1) and published in its own repository.
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- [`yrlyrl/lvr-data-mmcot_mix_v1`](https://huggingface.co/datasets/yrlyrl/lvr-data-mmcot_mix_v1): the training mixture `mmcot_mix_v1`: every real-photo training row (zebra_jigsaw, thinkmorph_jigsaw's ADE20K / SUN RGB-D rows, messytable_relabel) and as many synthetic rows, split equally over ipt_mvc, ipt_pet, motif, thinkmorph_spatial_nav, vdrop and zebra_multihop, shuffled into one loader-schema dataset (recipe and per-row list in its manifest).
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## Known issues
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Every source card has a **Known issues** section: rows with a measured per-row problem, listed in the source's `reports/known_issues/` so they can be filtered out (no row was removed for them), and measured caveats that cannot be listed row by row. Read it before training on a source.
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