add dataset card with explicit CC BY 4.0 licensing

README.md

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+---
+license: cc-by-4.0
+pretty_name: Amazon Berkeley Objects (ABO)
+source_datasets:
+  - original
+task_categories:
+  - image-classification
+  - image-to-3d
+tags:
+  - amazon
+  - products
+  - 3d
+  - images
+  - ecommerce
+  - abo
+configs:
+  - config_name: mvr
+    data_files:
+      - split: train
+        path: mvr/train-*.parquet
+  - config_name: listings
+    data_files:
+      - split: train
+        path: listings/train-*.parquet
+  - config_name: part_labels
+    data_files:
+      - split: train
+        path: part_labels/train-*.parquet
+  - config_name: images_small
+    data_files:
+      - split: train
+        path: images_small/train-*.parquet
+  - config_name: spins
+    data_files:
+      - split: train
+        path: spins/train-*.parquet
+  - config_name: images_original
+    data_files:
+      - split: train
+        path: images_original/train-*.parquet
+  - config_name: models_3d
+    data_files:
+      - split: train
+        path: models_3d/train-*.parquet
+  - config_name: benchmark_material
+    data_files:
+      - split: train
+        path: benchmark_material/train-*.parquet
+  - config_name: objects
+    default: true
+    data_files:
+      - split: train
+        path: objects/train-*.parquet
+---
+
+# Amazon Berkeley Objects (ABO)
+
+A Hugging Face packaging of the **Amazon Berkeley Objects (ABO)** dataset. The
+data content is the official CC BY 4.0 release from
+<https://amazon-berkeley-objects.s3.amazonaws.com/index.html>. This mirror
+changes only the packaging: metadata and media are grouped into typed Parquet
+shards using the `datasets` `Image()` and `Mesh()` features so the Hugging Face
+Dataset Viewer and `datasets` streaming APIs can consume them.
+
+## Configs
+
+| Config | Row unit | Main fields |
+| --- | --- | --- |
+| `objects` (default) | One product | Listing summary, foreign keys, modality flags |
+| `listings` | One product listing | Typed fields plus lossless `raw_listing_json` |
+| `images_small` | One catalog image | 256 px `Image()`, `image_id`, dimensions, path |
+| `images_original` | One catalog image | Original-resolution `Image()`, dimensions, path |
+| `spins` | One turntable frame | `Image()`, `spin_id`, `image_id`, `azimuth` |
+| `models_3d` | One 3D product | Native `Mesh()` GLB and geometry/material stats |
+| `part_labels` | One part mesh | Byte-exact `source_obj` plus converted `Mesh()` GLB |
+| `benchmark_material` | One model-viewpoint file | Render/material `Image()` or EXR `blob`, `kind` |
+| `mvr` | One retrieval example | Official CVPR22 multi-view-retrieval split columns |
+
+Native 3D preview uses the `Mesh()` feature and requires a recent `datasets`
+release with mesh support.
+
+## Licensing
+
+This work is licensed under the **Creative Commons Attribution 4.0 International
+Public License (CC BY 4.0)**. A verbatim copy is provided in
+[`LICENSE-CC-BY-4.0.txt`](./LICENSE-CC-BY-4.0.txt); see also
+<https://creativecommons.org/licenses/by/4.0/>.
+
+Under the following terms:
+
+- **Attribution** — You must give appropriate credit, provide a link to the
+  license, and indicate if changes were made. You may do so in any reasonable
+  manner, but not in any way that suggests the licensor endorses you or your use.
+- **No additional restrictions** — You may not apply legal terms or
+  technological measures that legally restrict others from doing anything the
+  license permits.
+
+**Changes made:** the original release was repackaged into typed Parquet shards
+(`Image()`/`Mesh()` features) for the Hugging Face Dataset Viewer and
+`datasets`. No underlying data content was altered.
+
+> Note: the source S3 bucket root also contains a `LICENSE-CC-BY-NC-4.0.txt`
+> file, but the official ABO download page licenses the released archives under
+> **CC BY 4.0**, which is the license applied and mirrored here.
+
+## Attribution
+
+Credit for the data, including all images and 3D models, must be given to:
+
+> Amazon.com
+
+Credit for building the dataset, archives and benchmark sets must be given to:
+
+> Matthieu Guillaumin (Amazon.com), Thomas Dideriksen (Amazon.com),
+> Kenan Deng (Amazon.com), Himanshu Arora (Amazon.com), Arnab Dhua (Amazon.com),
+> Xi (Brian) Zhang (Amazon.com), Tomas Yago-Vicente (Amazon.com),
+> Jasmine Collins (UC Berkeley), Shubham Goel (UC Berkeley),
+> Jitendra Malik (UC Berkeley).
+
+No endorsement by Amazon.com or UC Berkeley of this mirror is claimed or implied.
+
+## Citation
+
+```bibtex
+@article{collins2022abo,
+  title={ABO: Dataset and Benchmarks for Real-World 3D Object Understanding},
+  author={Collins, Jasmine and Goel, Shubham and Deng, Kenan and Luthra, Achleshwar and
+          Xu, Leon and Gundogdu, Erhan and Zhang, Xi and Yago Vicente, Tomas F and
+          Dideriksen, Thomas and Arora, Himanshu and Guillaumin, Matthieu and
+          Malik, Jitendra},
+  journal={CVPR},
+  year={2022}
+}
+```