---
license: apache-2.0
pretty_name: TIPS Training Data
configs:
- config_name: math
  data_files:
  - split: train
    path: math/train.parquet
- config_name: agent
  data_files:
  - split: train
    path: agent/train.parquet
---

# TIPS Training Data

Outcome-labeled training trajectories used by **TIPS (Thinking-Induced Process Supervision)**.

| Configuration | File | Examples |
| --- | --- | ---: |
| Math | `math/train.parquet` | 3,200 |
| Agent | `agent/train.parquet` | 2,905 |

TIPS trains a generative reward model to produce a reasoning chain, step-level labels, and an outcome label while using only outcome correctness as the reinforcement-learning reward.

## Usage

```python
from datasets import load_dataset

math_data = load_dataset("XingYing-stack/TIPS-Training-Data", "math", split="train")
agent_data = load_dataset("XingYing-stack/TIPS-Training-Data", "agent", split="train")
```

Data preparation and training code are available at https://github.com/RUCBM/TIPS.

## Sources and Licenses

The math data is derived from SCAN-Pro, released under Apache-2.0. The agent data consists of rollout trajectories collected by us. Please also follow the terms of the original math data source.