RLHFlow/UltraFeedback-preference-standard

We include all the possible comparisons following the Instruct-GPT. We use the fine-grained_score. import os import matplotlib.pyplot as plt import numpy as np import pandas as pd from datasets import load_dataset, DatasetDict from transformers import AutoTokenizer from tqdm import tqdm from transformers import AutoTokenizer ds = load_dataset("openbmb/UltraFeedback", split="train") import itertools data = [] for example in ds: prompt = example['instruction'] responses = {}… See the full description on the dataset page: https://huggingface.co/datasets/RLHFlow/UltraFeedback-preference-standard.

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