Spatial MMCoT v1: summary, merged index, stage reports

README.md

@@ -25,27 +25,27 @@ configs:
 
 Spatial reasoning data in one interleaved format: input image(s) and a question, then rounds of *plan → target image*, then a read-back and the answer. How much of that the text carries differs by source (`supervision_kind` in each source's `meta`, and each card says which):
 
-- **full_interleaved** (cova, motif, thinkmorph_jigsaw, thinkmorph_spatial_nav, zebra_jigsaw, zebra_multihop, zebra_tetris): the upstream trace itself interleaves text and target images (drawn or rendered states; messytable's target is a held-out overhead camera photograph); the text is upstream's and was not checked against the images.
+- **full_interleaved** (motif, thinkmorph_jigsaw, thinkmorph_spatial_nav, zebra_jigsaw, zebra_multihop): the trace interleaves text and target images (drawn or rendered states; the source cards say which), and the read-back comes after the image it reads.
 - **visual_aux** (ipt_mvc, ipt_pet): the text comes from a separate text-only chain of thought that never saw the generated image; use these rows as image supervision, not as evidence that drawing a state helps.
 - **visual_only** (vdrop): no reasoning text: every thought is empty.
 
-CoVA's upstream problems have no input image, so its first drawn image is promoted to the input.
+## This release: r4, the training subset
+
+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.
 
 ## Known issues
 
-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. The cards of `cova`, `ipt_mvc`, `ipt_pet`, `motif`, `thinkmorph_jigsaw`, `thinkmorph_spatial_nav`, `zebra_jigsaw`, `zebra_multihop`, `zebra_tetris` report defects in what the rows teach (marked **Training-signal defect**), not only in how they are described.
+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.
 
 Rows listed per issue (a row can be listed under more than one issue):
 
-- `cova`: `maze_other_shortest_paths` 1,076; `cube_target_ahead_of_text` 719; `spatialeval_plan_names_answer` 173; `spatialeval_broken_bold_fragment` 22
-- `ipt_mvc`: `options_give_answer` 1,508; `plan_tally_below_answer` 109; `plan_sees_no_object` 28
-- `ipt_pet`: `plan_turn_rule_backwards` 673; `contradicting_answers_same_images` 15; `plan_repeats_donor_chain` 1
-- `motif`: `count_options_give_answer` 147
-- `thinkmorph_jigsaw`: `readback_opens_with_moved_comparison` 172; `text_states_other_arrangement` 90; `control_char_residue` 49; `target_shared_with_other_row` 12; `validation_target_near_copy_of_train` 1
-- `thinkmorph_spatial_nav`: `plan_misplaces_start` 175; `validation_maze_near_twin_in_train` 47; `readback_claims_path_fails` 23
-- `zebra_jigsaw`: `readback_names_no_option` 1,077; `text_says_options_not_shown` 64; `target_shared_with_other_row` 16; `question_states_answer` 1
-- `zebra_multihop`: `target_repeats_earlier_target` 695; `readback_states_no_count` 385; `readback_states_other_count` 13
-- `zebra_tetris`: `plan_names_answer_before_pieces` 4,988; `shape_cell_count_contradicts_image` 1,089; `readback_names_no_option` 482; `text_says_options_not_shown` 27; `validation_target_identical_to_train` 9
+- `ipt_mvc`: `options_give_answer` 1,483
+- `ipt_pet`: `contradicting_answers_same_images` 15; `plan_turn_rule_backwards` 1
+- `motif`: `count_options_give_answer` 146
+- `thinkmorph_jigsaw`: `target_shared_with_other_row` 12; `text_states_other_arrangement` 3; `validation_target_near_copy_of_train` 1
+- `thinkmorph_spatial_nav`: `validation_maze_near_twin_in_train` 46; `readback_claims_path_fails` 30; `plan_misplaces_start` 4
+- `zebra_jigsaw`: `readback_names_no_option` 237; `text_says_options_not_shown` 25; `target_shared_with_other_row` 16; `question_states_answer` 1
+- `zebra_multihop`: `target_repeats_earlier_target` 665; `readback_states_no_count` 5
 
 ## Sources and licences
 
@@ -53,23 +53,20 @@ Each source is its own repository, with its own licence; the licence column give
 
 | source | train | validation | target image slots | distinct target images | licence | repo |
 |---|---:|---:|---:|---:|---|---|
-| cova | 3,370 | 127 | 13,066 | 13,021 | undeclared (cova_arc rows: cc-by-nc-4.0) | [yrlyrl/spatial-mmcot-cova](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-cova) |
-| ipt_mvc | 8,991 | 210 | 9,201 | 4,724 | undeclared | [yrlyrl/spatial-mmcot-ipt_mvc](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-ipt_mvc) |
-| ipt_pet | 8,420 | 212 | 8,632 | 4,973 | undeclared | [yrlyrl/spatial-mmcot-ipt_pet](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-ipt_pet) |
-| motif | 20,429 | 636 | 44,558 | 44,525 | mit | [yrlyrl/spatial-mmcot-motif](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-motif) |
-| thinkmorph_jigsaw | 5,654 | 145 | 5,799 | 5,793 | undeclared + ADE20K / SUN RGB-D terms | [yrlyrl/spatial-mmcot-thinkmorph_jigsaw](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-thinkmorph_jigsaw) |
-| thinkmorph_spatial_nav | 5,747 | 170 | 5,917 | 5,917 | undeclared | [yrlyrl/spatial-mmcot-thinkmorph_spatial_nav](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-thinkmorph_spatial_nav) |
-| vdrop | 6,748 | 267 | 7,015 | 1,158 | cc-by-4.0 | [yrlyrl/spatial-mmcot-vdrop](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-vdrop) |
-| zebra_jigsaw | 10,643 | 319 | 10,962 | 10,954 | cc-by-nc-4.0 + ImageNet terms | [yrlyrl/spatial-mmcot-zebra_jigsaw](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-zebra_jigsaw) |
-| zebra_multihop | 2,972 | 94 | 11,404 | 10,638 | cc-by-nc-4.0 | [yrlyrl/spatial-mmcot-zebra_multihop](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-zebra_multihop) |
-| zebra_tetris | 7,310 | 243 | 36,347 | 35,997 | cc-by-nc-4.0 | [yrlyrl/spatial-mmcot-zebra_tetris](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-zebra_tetris) |
-| **total** | **80,284** | **2,423** | **152,901** | **137,700** | | |
+| ipt_mvc | 8,866 | 208 | 9,074 | 4,680 | undeclared | [yrlyrl/spatial-mmcot-ipt_mvc](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-ipt_mvc) |
+| ipt_pet | 8,409 | 211 | 8,620 | 4,968 | undeclared | [yrlyrl/spatial-mmcot-ipt_pet](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-ipt_pet) |
+| motif | 20,298 | 631 | 44,243 | 44,210 | mit | [yrlyrl/spatial-mmcot-motif](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-motif) |
+| thinkmorph_jigsaw | 5,651 | 143 | 5,794 | 5,788 | undeclared + ADE20K / SUN RGB-D terms | [yrlyrl/spatial-mmcot-thinkmorph_jigsaw](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-thinkmorph_jigsaw) |
+| thinkmorph_spatial_nav | 5,645 | 162 | 5,807 | 5,807 | undeclared | [yrlyrl/spatial-mmcot-thinkmorph_spatial_nav](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-thinkmorph_spatial_nav) |
+| vdrop | 6,543 | 264 | 6,807 | 1,152 | cc-by-4.0 | [yrlyrl/spatial-mmcot-vdrop](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-vdrop) |
+| zebra_jigsaw | 10,538 | 316 | 10,854 | 10,846 | cc-by-nc-4.0 + ImageNet terms | [yrlyrl/spatial-mmcot-zebra_jigsaw](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-zebra_jigsaw) |
+| zebra_multihop | 2,865 | 89 | 10,870 | 10,139 | cc-by-nc-4.0 | [yrlyrl/spatial-mmcot-zebra_multihop](https://huggingface.co/datasets/yrlyrl/spatial-mmcot-zebra_multihop) |
+| **total** | **68,815** | **2,024** | **102,069** | **87,590** | | |
 
 Distinct target images are counted by content hash within each source.
 
 ## Benchmark overlap
 
-- `cova`'s `spatialeval` rows are prompts copied from the SpatialEvalLLM benchmark (`yyamada/SpatialEvalLLM`, ring and tree files): do not score a model trained on them on that benchmark.
 - `ipt_mvc`: the IPT MVC AI2-THOR evaluation set draws its options the same way as this source (four consecutive counts, the correct one never the largest), so a model trained here can gain on it from the options alone; see the source card.
 - `ipt_pet` shares no ProcTHOR house with the IPT PET-AI2THOR evaluation set (`weikaih/imaginative-perception-token-pet-eval-ai2thor`), but every one of that set's questions uses a template found in this source's training rows, and its renders come from the same ProcTHOR renderer: that benchmark is in-domain, not out-of-distribution, for a model trained on it.
 - `motif`: VisWorld-Eval ballgame uses the same task text as `ball_tracking_naive`, so treat it as in-domain; VisWorld-Eval multihop asks the same kind of question as `manipulation_naive` about CLEVR-style scenes (no shared images found by S11), so treat it as near-domain; `sokoban_naive` is excluded from this release (its card says why).
@@ -84,21 +81,17 @@ Distinct target images are counted by content hash within each source.
 
 | source | training chunk files | row groups | `num_used_data` |
 |---|---:|---:|---:|
-| cova | 1 | 27 | 128 |
-| ipt_mvc | 2 | 72 | 256 |
+| ipt_mvc | 2 | 71 | 256 |
 | ipt_pet | 1 | 66 | 128 |
-| motif | 1 | 160 | 128 |
+| motif | 1 | 159 | 128 |
 | thinkmorph_jigsaw | 1 | 45 | 128 |
 | thinkmorph_spatial_nav | 1 | 45 | 128 |
-| vdrop | 1 | 53 | 128 |
-| zebra_jigsaw | 1 | 84 | 128 |
-| zebra_multihop | 1 | 24 | 128 |
-| zebra_tetris | 1 | 58 | 128 |
+| vdrop | 1 | 52 | 128 |
+| zebra_jigsaw | 1 | 83 | 128 |
+| zebra_multihop | 1 | 23 | 128 |
 
 The rows of `ipt_mvc` (4 to 5 inputs), `vdrop` (2 inputs) have more than one input image; every other source has one. A run that includes them needs a loader that reads `num_input_images` (the `UnifiedEditIterableDataset` of the IPT release, https://github.com/weikaih04/Imaginative-Perception-Token, `data/interleave_datasets/edit_dataset.py`, or ThinkMorph's with the two-line change shown in those cards). The stock ThinkMorph loader takes `image_list[0]` as the only input and trains the other inputs as generated images, without an error: on a row with two inputs and one target it trains the second input after the plan and the real target after the answer, and on a row with three or more inputs and one target it never trains the real target.
 
 The `zebra_*` thoughts keep upstream's 'THOUGHT n:' labels inside `<think>`; the other sources have none (the zebra cards show how to strip them).
 
-Every image is a JPEG, and no input image is larger than 512 px on its long edge (measured 2026-09-25). The conversion code (`scripts/convert/`) that the cards cite is not public yet.
-
 `reports/` holds the cross-source stage reports: `export_summary.json`, `s10_summary.json`, `s12_summary.json`, `s13_summary.json`, `s10_label_conflicts.jsonl`. The frozen S12 validation keys are in `splits/` (`val_keys.tsv`: `<source>`, `<corpus>::<key>` for keyed policies, where `<corpus>` is `meta.source_scene_corpus` and `<key>` is `meta.scene_id` (`meta.geometry_uid` for zebra_jigsaw and thinkmorph_spatial_nav), with two exceptions: ipt_mvc and ipt_pet write the ProcTHOR house as `scene-<N>`, which `meta.scene_id` spells `house_<N>` / `ProcTHOR_House_<N>`, and in cova, motif, zebra_tetris and zebra_multihop rows that share an input image carry the smallest key of their group; `val_members.tsv`: `<source>`, first-image pHash for cluster policies; `key_digest.tsv`: per-source key digests). They are split keys, not data rows; the rows are in the per-source repositories.

parquet_info_all.json

@@ -1,86 +1,70 @@
 {
- "cova/train/chunk_00000.parquet": {
-  "num_row_groups": 27,
-  "num_rows": 3370
- },
- "cova/validation/chunk_00000.parquet": {
-  "num_row_groups": 1,
-  "num_rows": 127
- },
  "ipt_mvc/train/chunk_00000.parquet": {
   "num_row_groups": 58,
-  "num_rows": 7313
+  "num_rows": 7316
  },
  "ipt_mvc/train/chunk_00001.parquet": {
-  "num_row_groups": 14,
-  "num_rows": 1678
+  "num_row_groups": 13,
+  "num_rows": 1550
  },
  "ipt_mvc/validation/chunk_00000.parquet": {
   "num_row_groups": 2,
-  "num_rows": 210
+  "num_rows": 208
  },
  "ipt_pet/train/chunk_00000.parquet": {
   "num_row_groups": 66,
-  "num_rows": 8420
+  "num_rows": 8409
  },
  "ipt_pet/validation/chunk_00000.parquet": {
   "num_row_groups": 2,
-  "num_rows": 212
+  "num_rows": 211
  },
  "motif/train/chunk_00000.parquet": {
-  "num_row_groups": 160,
-  "num_rows": 20429
+  "num_row_groups": 159,
+  "num_rows": 20298
  },
  "motif/validation/chunk_00000.parquet": {
   "num_row_groups": 5,
-  "num_rows": 636
+  "num_rows": 631
  },
  "thinkmorph_jigsaw/train/chunk_00000.parquet": {
   "num_row_groups": 45,
-  "num_rows": 5654
+  "num_rows": 5651
  },
  "thinkmorph_jigsaw/validation/chunk_00000.parquet": {
   "num_row_groups": 2,
-  "num_rows": 145
+  "num_rows": 143
  },
  "thinkmorph_spatial_nav/train/chunk_00000.parquet": {
   "num_row_groups": 45,
-  "num_rows": 5747
+  "num_rows": 5645
  },
  "thinkmorph_spatial_nav/validation/chunk_00000.parquet": {
   "num_row_groups": 2,
-  "num_rows": 170
+  "num_rows": 162
  },
  "vdrop/train/chunk_00000.parquet": {
-  "num_row_groups": 53,
-  "num_rows": 6748
+  "num_row_groups": 52,
+  "num_rows": 6543
  },
  "vdrop/validation/chunk_00000.parquet": {
   "num_row_groups": 3,
-  "num_rows": 267
+  "num_rows": 264
  },
  "zebra_jigsaw/train/chunk_00000.parquet": {
-  "num_row_groups": 84,
-  "num_rows": 10643
+  "num_row_groups": 83,
+  "num_rows": 10538
  },
  "zebra_jigsaw/validation/chunk_00000.parquet": {
   "num_row_groups": 3,
-  "num_rows": 319
+  "num_rows": 316
  },
  "zebra_multihop/train/chunk_00000.parquet": {
-  "num_row_groups": 24,
-  "num_rows": 2972
+  "num_row_groups": 23,
+  "num_rows": 2865
  },
  "zebra_multihop/validation/chunk_00000.parquet": {
   "num_row_groups": 1,
-  "num_rows": 94
- },
- "zebra_tetris/train/chunk_00000.parquet": {
-  "num_row_groups": 58,
-  "num_rows": 7310
- },
- "zebra_tetris/validation/chunk_00000.parquet": {
-  "num_row_groups": 2,
-  "num_rows": 243
+  "num_rows": 89
  }
 }

reports/export_summary.json

@@ -1,129 +1,105 @@
 {
  "sources": {
-  "cova": {
-   "rows": {
-    "train": 3370,
-    "validation": 127
-   },
-   "targets": {
-    "train": 12607,
-    "validation": 459
-   },
-   "s14": 199,
-   "license": "undeclared"
-  },
   "ipt_mvc": {
    "rows": {
-    "train": 8991,
-    "validation": 210
+    "train": 8866,
+    "validation": 208
    },
    "targets": {
-    "train": 8991,
-    "validation": 210
+    "train": 8866,
+    "validation": 208
    },
-   "s14": 200,
+   "s14": 198,
    "license": "undeclared"
   },
   "ipt_pet": {
    "rows": {
-    "train": 8420,
-    "validation": 212
+    "train": 8409,
+    "validation": 211
    },
    "targets": {
-    "train": 8420,
-    "validation": 212
+    "train": 8409,
+    "validation": 211
    },
    "s14": 200,
    "license": "undeclared"
   },
   "motif": {
    "rows": {
-    "train": 20429,
-    "validation": 636
+    "train": 20298,
+    "validation": 631
    },
    "targets": {
-    "train": 43209,
-    "validation": 1349
+    "train": 42902,
+    "validation": 1341
    },
-   "s14": 200,
+   "s14": 199,
    "license": "mit"
   },
   "thinkmorph_jigsaw": {
    "rows": {
-    "train": 5654,
-    "validation": 145
+    "train": 5651,
+    "validation": 143
    },
    "targets": {
-    "train": 5654,
-    "validation": 145
+    "train": 5651,
+    "validation": 143
    },
    "s14": 200,
    "license": "undeclared"
   },
   "thinkmorph_spatial_nav": {
    "rows": {
-    "train": 5747,
-    "validation": 170
+    "train": 5645,
+    "validation": 162
    },
    "targets": {
-    "train": 5747,
-    "validation": 170
+    "train": 5645,
+    "validation": 162
    },
-   "s14": 200,
+   "s14": 198,
    "license": "undeclared"
   },
   "vdrop": {
    "rows": {
-    "train": 6748,
-    "validation": 267
+    "train": 6543,
+    "validation": 264
    },
    "targets": {
-    "train": 6748,
-    "validation": 267
+    "train": 6543,
+    "validation": 264
    },
-   "s14": 200,
+   "s14": 196,
    "license": "cc-by-4.0"
   },
   "zebra_jigsaw": {
    "rows": {
-    "train": 10643,
-    "validation": 319
+    "train": 10538,
+    "validation": 316
    },
    "targets": {
-    "train": 10643,
-    "validation": 319
+    "train": 10538,
+    "validation": 316
    },
-   "s14": 200,
+   "s14": 199,
    "license": "cc-by-nc-4.0"
   },
   "zebra_multihop": {
    "rows": {
-    "train": 2972,
-    "validation": 94
+    "train": 2865,
+    "validation": 89
    },
    "targets": {
-    "train": 11069,
-    "validation": 335
+    "train": 10556,
+    "validation": 314
    },
-   "s14": 200,
-   "license": "cc-by-nc-4.0"
-  },
-  "zebra_tetris": {
-   "rows": {
-    "train": 7310,
-    "validation": 243
-   },
-   "targets": {
-    "train": 35196,
-    "validation": 1151
-   },
-   "s14": 200,
+   "s14": 194,
    "license": "cc-by-nc-4.0"
   }
  },
  "problems": [],
  "limit": 0,
- "git_sha": "b3fa1b993ca925c47fe970f2c8c727560032d7aa",
+ "git_sha": "465a3854ebafd0992ce54b6836f34c8fa45ddfa9",
  "git_dirty": false,
  "s13_balanced_keep_sha1": "87169b8ed530cb0cf4c6727b5e9b6f8a0d385f16"
 }

splits/key_digest.tsv

@@ -3,6 +3,7 @@
 cova	scene_id	4482	9eb30bc0d9768aa4a084632da8025292f5fc7061	a66f013779881ef1e7fc7289e01de3ba695fcabe
 ipt_mvc	scene_id	3417	d85df53d67ffdea291aed6832926655bc95e254d	9856e11071d5fd7bf8e3b4b996934a76faddc987
 ipt_pet	scene_id	7560	5f894c2f1c18fbeb84cfc7659970573f19306750	b80c14195f46fc638247939a44d600e79a29ad54
+messytable_relabel	scene_id	379	3f25ba8570630db56250589b38368960acc5124e	c1590c1d3a30e33d4b14f398b4b42cd9b5a57829
 motif	scene_id	21041	0faf1b7702a3f858791c7e01c6cb4743c52c50cc	cc474c1fa5f10b2357d1ad6092867b26789e105b
 thinkmorph_jigsaw	scene_id	5829	509c51fc5b993c87535f79035c6d28c2979c701e	3625b0b1b0538b737c948e0bf9ce0ad83b36dbf5
 thinkmorph_spatial_nav	geometry_uid	5917	b11f9b9bf0bc248c54258b06e1e85d366416fc79	e4dfd1999802439eed8a474e8d313636fa9a548f

splits/val_keys.tsv

@@ -480,6 +480,15 @@ ipt_pet	procthor::scene-9957
 ipt_pet	procthor::scene-9965
 ipt_pet	procthor::scene-9972
 ipt_pet	procthor::scene-9979
+messytable_relabel	messytable::20190930-00114
+messytable_relabel	messytable::20191014-00312
+messytable_relabel	messytable::20191014-00315
+messytable_relabel	messytable::20191016-00343
+messytable_relabel	messytable::20191120-00756
+messytable_relabel	messytable::20191204-00910
+messytable_relabel	messytable::20191207-00955
+messytable_relabel	messytable::20191208-00976
+messytable_relabel	messytable::20191213-01047
 motif	blender_clevr::0271fea09dfa802cc5da514b0fbf25b1
 motif	blender_clevr::03e9cb1a3dc177dee2dabd6c8167f466
 motif	blender_clevr::03fd28b0441d52385baed2028e739493