Files
Open-Assistant/model/reward/instructor/experimental_dataset.py
T

20 lines
419 B
Python

'''
HFSummary
I want to train a multi regression model on axis_evals dataset mainly we can estimate the score of these score
- {"overall": "6", "accuracy": "6", "coverage": "6", "coherence": "7"}
Should be better than just a preference score
'''
import os
import json
import random
import torch
import numpy as np
from dataset import load_dataset
from torch.utils.data import Dataset