siyich/spacetools-rlfulltools
收藏Hugging Face2026-03-24 更新2026-03-29 收录
下载链接：
https://hf-mirror.com/datasets/siyich/spacetools-rlfulltools
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资源简介：
---
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.
提供机构：
siyich
