README.md

---
tags:
- ml-intern
dataset_info:
  features:
  - name: prompt
    list:
    - name: role
      dtype: string
    - name: content
      dtype: string
  - name: chosen
    list:
    - name: role
      dtype: string
    - name: content
      dtype: string
    - name: name
      dtype: string
  - name: rejected
    list:
    - name: role
      dtype: string
    - name: content
      dtype: string
    - name: name
      dtype: string
  - name: task
    dtype: string
  - name: source
    dtype: string
  - name: ablation
    dtype: string
  - name: chosen_score
    dtype: float64
  - name: rejected_score
    dtype: float64
  splits:
  - name: train
    num_bytes: 20452572
    num_examples: 2193
  - name: eval
    num_bytes: 2784110
    num_examples: 274
  - name: test
    num_bytes: 2198994
    num_examples: 275
  download_size: 25149302
  dataset_size: 25435676
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: eval
    path: data/eval-*
  - split: test
    path: data/test-*
---

# narcolepticchicken/trace-preference-v6

<!-- ml-intern-provenance -->
## Generated by ML Intern

This dataset repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub.

- Try ML Intern: https://smolagents-ml-intern.hf.space
- Source code: https://github.com/huggingface/ml-intern

## Usage

```python
from datasets import load_dataset

dataset = load_dataset('narcolepticchicken/trace-preference-v6')
```