README.md

---
dataset_info:
  features:
  - name: post_id
    dtype: string
  - name: domain
    dtype: string
  - name: upvote_ratio
    dtype: float64
  - name: seconds_difference
    dtype: float64
  - name: score_ratio
    dtype: float64
  - name: prompt
    dtype: string
  - name: chosen
    dtype: string
  - name: rejected
    dtype: string
  - name: score_chosen
    dtype: int64
  - name: score_rejected
    dtype: int64
  splits:
  - name: train
    num_bytes: 123987035
    num_examples: 89971
  - name: validation
    num_bytes: 7709028
    num_examples: 4936
  - name: test
    num_bytes: 7793116
    num_examples: 4938
  download_size: 88713712
  dataset_size: 139489179
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: odc-by
---


# 


```py
>>> dataset = load_dataset("pszemraj/SHP-2-dpo-100k_sample")
>>> dataset
DatasetDict({
    train: Dataset({
        features: ['post_id', 'domain', 'upvote_ratio', 'seconds_difference', 'score_ratio', 'prompt', 'chosen', 'rejected', 'score_chosen', 'score_rejected'],
        num_rows: 89971
    })
    validation: Dataset({
        features: ['post_id', 'domain', 'upvote_ratio', 'seconds_difference', 'score_ratio', 'prompt', 'chosen', 'rejected', 'score_chosen', 'score_rejected'],
        num_rows: 4936
    })
    test: Dataset({
        features: ['post_id', 'domain', 'upvote_ratio', 'seconds_difference', 'score_ratio', 'prompt', 'chosen', 'rejected', 'score_chosen', 'score_rejected'],
        num_rows: 4938
    })
})
```