| --- |
| license: other |
| license_name: mixed |
| license_link: LICENSE.md |
| language: |
| - en |
| pretty_name: OmniTaskonomy |
| task_categories: |
| - visual-question-answering |
| - image-to-image |
| tags: |
| - multimodal |
| - visual-understanding |
| - image-editing |
| - omnitaskonomy |
| configs: |
| - config_name: i2t |
| default: true |
| data_files: |
| - split: recognition__activity_understanding__i2t |
| path: data/recognition__activity_understanding__i2t/val/*.parquet |
| - split: recognition__anomaly_detection__i2t |
| path: data/recognition__anomaly_detection__i2t/val/*.parquet |
| - split: recognition__appearance_understanding__i2t |
| path: data/recognition__appearance_understanding__i2t/val/*.parquet |
| - split: recognition__category_recognition__i2t |
| path: data/recognition__category_recognition__i2t/val/*.parquet |
| - split: recognition__ocr_and_text_recognition__i2t |
| path: data/recognition__ocr_and_text_recognition__i2t/val/*.parquet |
| - split: recognition__part_recognition__i2t |
| path: data/recognition__part_recognition__i2t/val/*.parquet |
| - split: recognition__region_semantic_recognition__i2t |
| path: data/recognition__region_semantic_recognition__i2t/val/*.parquet |
| - split: recognition__situation_understanding__i2t |
| path: data/recognition__situation_understanding__i2t/val/*.parquet |
| - split: recognition__state_recognition__i2t |
| path: data/recognition__state_recognition__i2t/val/*.parquet |
| - split: recognition__symbol_recognition__i2t |
| path: data/recognition__symbol_recognition__i2t/val/*.parquet |
| - split: recognition__visual_similarity__i2t |
| path: data/recognition__visual_similarity__i2t/val/*.parquet |
| - split: reconstruction__2d_spatial_relation__i2t |
| path: data/reconstruction__2d_spatial_relation__i2t/val/*.parquet |
| - split: reconstruction__3d_shape_reasoning__i2t |
| path: data/reconstruction__3d_shape_reasoning__i2t/val/*.parquet |
| - split: reconstruction__depth_understanding__i2t |
| path: data/reconstruction__depth_understanding__i2t/val/*.parquet |
| - split: reconstruction__lighting_understanding__i2t |
| path: data/reconstruction__lighting_understanding__i2t/val/*.parquet |
| - split: reconstruction__metric_3d_relation__i2t |
| path: data/reconstruction__metric_3d_relation__i2t/val/*.parquet |
| - split: reconstruction__multi_view_reasoning__i2t |
| path: data/reconstruction__multi_view_reasoning__i2t/val/*.parquet |
| - split: reconstruction__occlusion_understanding__i2t |
| path: data/reconstruction__occlusion_understanding__i2t/val/*.parquet |
| - split: reconstruction__orientation_understanding__i2t |
| path: data/reconstruction__orientation_understanding__i2t/val/*.parquet |
| - split: reorganization__2d_keypoints__i2t |
| path: data/reorganization__2d_keypoints__i2t/val/*.parquet |
| - split: reorganization__2d_ordering__i2t |
| path: data/reorganization__2d_ordering__i2t/val/*.parquet |
| - split: reorganization__connectivity__i2t |
| path: data/reorganization__connectivity__i2t/val/*.parquet |
| - split: reorganization__counting__i2t |
| path: data/reorganization__counting__i2t/val/*.parquet |
| - split: reorganization__localization__i2t |
| path: data/reorganization__localization__i2t/val/*.parquet |
| - split: reorganization__visual_correspondence__i2t |
| path: data/reorganization__visual_correspondence__i2t/val/*.parquet |
| - config_name: i2i |
| data_files: |
| - split: recognition__attribute_editing__i2i |
| path: data/recognition__attribute_editing__i2i/train/*.parquet |
| - split: recognition__object_editing__i2i |
| path: data/recognition__object_editing__i2i/train/*.parquet |
| - split: reconstruction__inpainting__i2i |
| path: data/reconstruction__inpainting__i2i/train/*.parquet |
| - split: reorganization__jigsaw__i2i |
| path: data/reorganization__jigsaw__i2i/train/*.parquet |
| - split: reorganization__localization__i2i |
| path: data/reorganization__localization__i2i/train/*.parquet |
| - split: reorganization__object_pointing__i2i |
| path: data/reorganization__object_pointing__i2i/train/*.parquet |
| - split: reorganization__semantic_segmentation__i2i |
| path: data/reorganization__semantic_segmentation__i2i/train/*.parquet |
| --- |
| |
| # OmniTaskonomy |
|
|
| OmniTaskonomy (arxiv.org/abs/2609.38079) groups visual tasks into Recognition, Reconstruction, and Reorganization. |
| Each task and modality has its own split, named `family__task__i2i` or `family__task__i2t`. |
| The `i2t` and `i2i` configs group the evaluation and training splits, respectively. |
|
|
| This release contains **9,444 I2T evaluation samples across 25 tasks** |
| and **350,000 I2I training samples across 7 tasks**. |
| I2T rows have `usage="val"`; I2I rows have `usage="train"`. |
| I2I validation data is not included. |
| Counts and file checksums are in [release_manifest.json](release_manifest.json). |
|
|
| ## Load a task |
|
|
| ```python |
| from datasets import load_dataset |
| |
| data = load_dataset( |
| "Wakals/OmniTaskonomy", |
| name="i2t", |
| split="recognition__category_recognition__i2t", |
| streaming=True, |
| ) |
| sample = next(iter(data)) |
| ``` |
|
|
| For I2I training data, use `name="i2i"` and the corresponding `__i2i` split. |
|
|
| ## Fields |
|
|
| - `id`: unique release record; `task_id`, `task_name`, `r`, `modality`, and `usage` describe its task. |
| - `input_images`: an ordered image list, including for single-image tasks. |
| - I2T: `question`, `options`, `answer`, optional `hint`, and `evaluation_prompt`. |
| - I2I: `editing_prompt` and `output_image`. |
| - `source_dataset`, `source_id`, `source_split`, `source_license`, and JSON-encoded `source_metadata` retain provenance. `repeat_index` distinguishes repeated source records. |
|
|
| Fields that do not apply to a modality are null. I2T answers are option labels. |
| Original I2T image bytes, image order, questions, and answers are preserved; |
| `evaluation_prompt` retains the benchmark's evaluation wording, including its native CV-Bench prompt. |
| Source annotation anomalies are retained. |
|
|
| I2I targets use the training reader's rendering. |
| For damaged source files accepted by the training reader, the same decoded pixels are saved |
| as valid PNGs; affected records are identified in `source_metadata`. |
| Localization repeats the original training iterator to 50,000 records. |
| Object pointing stores one deterministic choice from the training prompt templates; |
| the templates remain available in source metadata. |
|
|
| ## Taskonomy source selections |
|
|
| For the 12 Taskonomy-derived I2I tasks, [sources.json](sources/taskonomy/sources.json) |
| provides official download links, archive checksums, prompts, and preprocessing rules. |
| The [compressed ID lists](https://huggingface.co/datasets/Wakals/OmniTaskonomy/tree/main/sources/taskonomy/selections) |
| contain 50,000 training occurrences per task; preserve their order and repeated IDs. |
| These are source metadata files, not additional dataset splits. Taskonomy images |
| are not included while redistribution permission is pending. |
|
|
| ## License |
|
|
| This dataset combines sources with different licenses. See [LICENSE.md](LICENSE.md) |
| for each source's terms, including RealWorldQA's CC BY-ND 4.0 license. |
| Each component retains its original license; no relicensing of third-party content is intended. |
|
|
