MT Bench by LMSYS

This set of evaluation prompts is created by the LMSYS org for better evaluation of chat models. For more information, see the paper .

Dataset loading

To load this dataset, use 🤗 datasets:

from datasets import load_dataset
data = load_dataset(HuggingFaceH4/mt_bench_prompts, split="train")

Dataset creation

To create the dataset, we do the following for our internal tooling.

• rename turns to prompts ,
• add empty reference to remaining prompts (for HF Datasets),
• Use the following code to load and save as a dataset

from datasets import load_dataset
import hashlib

data = load_dataset("json", data_files="https://huggingface.co/datasets/HuggingFaceH4/mt_bench_prompts/raw/main/raw/question.jsonl", split="train")

# %% create_dataset.ipynb 11
def format_example(example):
    return {
        "prompt": example["prompt"],
        "prompt_id": int(hashlib.sha256(''.join(example["prompt"]).encode("utf-8")).hexdigest(), 16) % (10 ** 8),
        "category": example["category"],
        "reference": example["reference"],
    }

formatted_ds = data.map(format_example, num_proc=6, remove_columns=data.column_names)

# 
formatted_ds.push_to_hub("HuggingFaceH4/mt_bench_prompts", split="train")