Add development data

README.md

@@ -0,0 +1,84 @@
+---
+library_name: datasets
+language:
+- en
+tags:
+- multimodal
+- reasoning
+- co-evolution
+task_categories:
+- visual-question-answering
+size_categories:
+- n<1K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: dev120.parquet
+---
+
+# CoWorld-Reasoner-Dev
+
+[![Code](https://img.shields.io/badge/GitHub-Code-blue?style=for-the-badge&logo=github)](https://github.com/ModalityDance/CoWorld-Reasoner)
+[![Project](https://img.shields.io/badge/Project-Page-4c8c72?style=for-the-badge)](https://modalitydance.github.io/CoWorld-Reasoner/)
+
+## Overview
+
+**CoWorld-Reasoner-Dev** contains the **120 development examples** used for harness co-evolution in CoWorld Reasoner, with **244 images**:
+
+- **MMSI-Bench**: 30 examples
+- **SpinBench**: 30 examples
+- **CausalSpatial**: 30 examples
+- **PerceptionBench**: 30 examples
+
+These examples are excluded from the corresponding benchmark evaluations. The `train` split contains the development data, not the evaluation sets.
+
+## Data Fields
+
+Each example contains:
+
+- `sample_id`: the example identifier.
+- `benchmark`: the source benchmark.
+- `task_type`: the task category.
+- `answer_type`: the answer format.
+- `question`: the question, including options when present.
+- `options`: structured options when available.
+- `images`: an ordered list of images embedded in the Parquet file.
+- `image_paths`: the corresponding relative paths used by the code.
+- `answer`: the reference answer.
+- `score_spec`: the scoring method.
+- `official_problem`: the original PerceptionBench problem used for scoring; otherwise null.
+
+## Quick Start
+
+### Load the dataset
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("ModalityDance/CoWorld-Reasoner-Dev", split="train")
+example = ds[0]
+
+print(example["question"])
+print(example["answer"])
+print("Number of images:", len(example["images"]))
+example["images"][0].show()
+```
+
+### Use with CoWorld Reasoner
+
+After installing the [code repository](https://github.com/ModalityDance/CoWorld-Reasoner#installation), run:
+
+```shell
+python download_data.py
+```
+
+This saves questions and images to `data/dev120/` and reference answers to `scorer_bundle/data/dev120_evaluator_only.jsonl`, ready for evaluation and co-evolution.
+
+## Acknowledgements
+
+The examples are drawn from [MMSI-Bench](https://arxiv.org/abs/2505.23764v3), [SpinBench](https://arxiv.org/abs/2509.25390), [CausalSpatial](https://arxiv.org/abs/2601.13304), and [PerceptionBench](https://arxiv.org/abs/2607.24957). The source datasets retain their original licenses.
+
+## Citation
+
+Paper link and BibTeX: **coming soon**.

dev120.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8639648254561ac57ce712afcd32a8381398d46f699d75c09e7a57f9b23bfd7f
+size 70829902