README.md

---
license: apache-2.0
task_categories:
  - visual-question-answering
  - image-to-text
tags:
  - spatial-reasoning
  - robotics
  - tool-use
  - reinforcement-learning
  - grpo
size_categories:
  - 1K<n<10K
dataset_info:
  features:
    - name: data_source
      dtype: string
    - name: prompt
      list:
        - name: content
          dtype: string
        - name: role
          dtype: string
    - name: images
      sequence: string
    - name: ability
      dtype: string
    - name: reward_model
      struct:
        - name: ground_truth
          dtype: string
        - name: style
          dtype: string
    - name: extra_info
      struct:
        - name: answer
          dtype: string
        - name: image
          dtype: string
        - name: index
          dtype: int64
        - name: qa_type
          dtype: string
        - name: question
          dtype: string
        - name: split
          dtype: string
  splits:
    - name: train
      num_examples: 5500
---

# SpaceTools RL Full-Tools Dataset

RL training data for spatial reasoning with the full suite of vision tools.

## Dataset Summary

- **Train**: 5,500 samples
- **Format**: Parquet with relative image paths
- **Images**: Stored in `images/` directory (5,421 files)

> **Note**: The HuggingFace viewer may show fewer rows due to image path format. The full dataset contains **5,500 samples**. Use `load_dataset()` or download directly to access all rows.

## Usage

```python
from datasets import load_dataset
ds = load_dataset("siyich/spacetools-rlfulltools")
print(f"Train size: {len(ds['train'])}")  # 5500
```

## Tools (16 total)

See `toolshed_config.yaml` for full tool schemas.