Datasets:
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license: mit
pretty_name: Math Solution Step Verification
language:
- en
task_categories:
- text-classification
- text-generation
tags:
- adaption
- autoscientist
- sft
- instruction-tuning
- fine-tuning
- math
- process-reward
- verification
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data.parquet
source_datasets:
- openai/prm800k
- HuggingFaceH4/prm800k-trl-dedup
---
# Math Solution Step Verification
Judge whether a step in a worked maths solution is correct, from human step-level labels.
| | |
|---|---|
| Rows | 10,969 |
| Domain | mathematics |
| Format | `data.parquet`, one row per example |
| Licence | mit |
| Built for | supervised fine-tuning (SFT) experiments on [Adaption](https://adaptionlabs.ai) AutoScientist |
## Columns
| Column | Description |
|---|---|
| `original_prompt` | The prompt (user turn) as uploaded. |
| `original_completion` | The target response as uploaded. |
| `enhanced_prompt` | Empty in this dataset. |
| `enhanced_completion` | Empty in this dataset. |
## How it was built
Built from PRM800K (via the TRL-deduplicated copy); the `explained` variant adds a written justification.
## Sources and licence
- [PRM800K](https://huggingface.co/datasets/openai/prm800k) (MIT)
- [HuggingFaceH4/prm800k-trl-dedup](https://huggingface.co/datasets/HuggingFaceH4/prm800k-trl-dedup) (MIT)
## Notes
- Columns `enhanced_prompt`, `enhanced_completion` are empty in this dataset (the Adaption export reserves them for rewritten text).
## Loading
```python
from datasets import load_dataset
ds = load_dataset("rodriguescarson/adaption-math-verify-explained", split="train")
```
```python
import pandas as pd
df = pd.read_parquet("hf://datasets/rodriguescarson/adaption-math-verify-explained/data.parquet")
```
Published by [Carson Rodrigues](https://carsonrodrigues.com) ([Hugging Face](https://huggingface.co/rodriguescarson), [Kaggle](https://www.kaggle.com/carsonrodrigues)).
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