AskBeforeAnswer Dataset

This dataset contains the training and validation splits for the AskBeforeAnswer clarification-seeking model.

GitHub Release: v0.0.4

Subsets (Configurations)

This repository contains two subsets which must be loaded separately depending on the training stage:

1. sft (Supervised Fine-Tuning)

Contains the structured JSON responses for initial alignment.

• Features: instruction, input, output (JSON dict containing action, reasoning, facets, response)

from datasets import load_dataset
sft_dataset = load_dataset("chrisjcc/ask-before-answer-data", "sft")

2. dpo (Direct Preference Optimization)

Contains the preference pairs used to penalize hallucinations.

• Features: prompt, chosen, rejected

from datasets import load_dataset
dpo_dataset = load_dataset("chrisjcc/ask-before-answer-data", "dpo")