Datasets:

yrlyrl
/

spatial-mmcot-v2

@@ -74,12 +74,13 @@ is therefore written toward the stored answer, and it can misdescribe a picture
 ## What a row contains (the viewer)
-`question` and `options` as the model receives them (the system prompt is in the training files), `answer`,
-`input_image_0..` (the inputs), `target_image_0..` (the helpers, in drawing order; null past the row's own),
-`thought_0..` (the plan before each helper; null past the row's own) and the last `thought_` column (the reading of
-the last helper and the conclusion).  `num_input_images` and `num_steps` (K, the number of helpers) say how many slots
-are used.  `source` and `task` name the upstream source and task, `license` the row's licence, `filter_flags` the
-flags below.
 ## How v2 differs from v1

 ## What a row contains (the viewer)
+Columns from left to right: `source` and `task` (the upstream source and task), `question` and `options` as the
+model receives them (the system prompt is in the training files), `answer`, `input_image_0..` (the inputs), then the
+chain in the order the model writes it -- `thought_0` (the plan), `target_image_0` (the helper picture), `thought_1`,
+`target_image_1`, ... -- and the last `thought_` column (the reading of the last helper and the conclusion).  Image
+and thought slots past the row's own are null.  Then `row_uid`, `category`, `num_input_images` and `num_steps` (K,
+the number of helpers), `split`, `license` (the row's licence), `source_scene_corpus`, `est_tokens` and
+`filter_flags` (the flags below).
 ## How v2 differs from v1

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