Duplicate from xashru/sphinx

Co-authored-by: Tanvirul Alam <xashru@users.noreply.huggingface.co>

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README.md

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+---
+license: mit
+task_categories:
+- image-text-to-text
+language:
+- en
+tags:
+- visual-reasoning
+- synthetic
+- multimodal
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: eval
+    path: data/eval-*
+dataset_info:
+  features:
+  - name: images
+    list: image
+  - name: problem
+    dtype: string
+  - name: answer
+    dtype: string
+  - name: task
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1511015259
+    num_examples: 32000
+  - name: eval
+    num_bytes: 135942602
+    num_examples: 2500
+  download_size: 1625026463
+  dataset_size: 1646957861
+---
+
+# SPHINX: A Synthetic Environment for Visual Perception and Reasoning
+
+This dataset accompanies the paper
+[SPHINX: A Synthetic Environment for Visual Perception and Reasoning](https://arxiv.org/abs/2511.20814).
+
+Code: [https://github.com/xashru/sphinx](https://github.com/xashru/sphinx)
+
+---
+
+## Overview
+
+Sphinx procedurally generates visual reasoning tasks with verifiable ground-truth answers, enabling:
+
+- Precise, fine-grained evaluation of multimodal models.
+- Large-scale dataset construction for supervised training and RL-style post-training.
+
+---
+
+## Sample Usage
+
+You can load the dataset via `datasets`:
+
+```python
+from datasets import load_dataset
+
+ds_train = load_dataset("xashru/sphinx", split="train")
+ds_eval = load_dataset("xashru/sphinx", split="eval")  # or other splits as defined
+
+print(ds_train[0].keys())
+# e.g. image, task_name, question, answer, metadata, ...
+```

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