Dataset card organized by task

README.md

@@ -108,6 +108,28 @@ data/
 - `images` is the corrupted input. `reasoning_image_0` is the restored image.
 - Image paths are relative to the row's file. `id` is a stable public id.
 
+## Reading the data
+
+A trace reads in this order: the input images, then
+`reasoning_thought_0`, `reasoning_image_0`, `reasoning_thought_1`, and so on.
+
+```python
+import json
+from pathlib import Path
+from PIL import Image
+
+folder = Path("data/colorization")                      # one task folder of the extracted release
+with open(folder / "train.jsonl") as f:
+    row = json.loads(next(f))
+inputs = [Image.open(folder / p) for p in row["images"]]
+steps, i = [], 0
+while f"reasoning_thought_{i}" in row:
+    image = row.get(f"reasoning_image_{i}")
+    steps.append((row[f"reasoning_thought_{i}"], Image.open(folder / image) if image else None))
+    i += 1
+print(row["task"], len(steps), "steps")
+```
+
 ## Rows without images
 
 `text_only/` holds the rows of the `jigsaw` task whose images come from Matterport3D. It has the same task folders as the main release.
@@ -122,7 +144,19 @@ To obtain the source data:
 - **Matterport3D:** sign the Matterport3D Terms of Use. The form is at
   <https://niessner.github.io/Matterport/>; send it to matterport3d@googlegroups.com.
 
-## License
+## Sources and licenses
+
+Images keep the terms of the dataset they come from; check them before you use the data.
+Several sources allow non-commercial research use only. Licenses below are as stated by each
+source.
+
+| Image source | Tasks | Terms |
+| --- | --- | --- |
+| [SA-1B](https://ai.meta.com/datasets/segment-anything/) | all seven | SA-1B Dataset Research License |
+| [PixMo-Cap](https://huggingface.co/datasets/allenai/pixmo-cap) | all seven | ODC-BY 1.0; the images are web images under their own terms |
+| [VSI-590K](https://huggingface.co/datasets/nyu-visionx/VSI-590K), [LLaVA-OneVision-1.5](https://huggingface.co/datasets/mvp-lab/LLaVA-OneVision-1.5-Instruct-Data), [DeepVision-103K](https://huggingface.co/datasets/skylenage-ai/DeepVision-103K) | all seven | Apache-2.0, Apache-2.0, MIT; their images keep the terms of the original datasets (for example YouTube room tours, Hypersim: CC BY-SA 3.0, ScanNet and ARKitScenes: their terms of use, COCO: Flickr terms) |
+| [Realsee3D](https://doi.org/10.5281/zenodo.17826243), [360+x](https://x360dataset.github.io/) | `jigsaw` | CC BY 4.0; CC BY-NC-SA 4.0 |
+| [Matterport3D](https://niessner.github.io/Matterport/) (text only) | `jigsaw` | Matterport3D Terms of Use |
 
-The images come from several public datasets, and each keeps its own terms. There is no blanket
-license for the images. A list of the image sources per task will be added with the paper.
+The reasoning text, the intermediate images and the release layout are ours. There is no
+blanket license over the images.