SFT, Instruction Tuning & PEFT4 / 6
SFT, Instruction Tuning & PEFT
Implement a synthetic-data pipeline: generate candidate examples, validate them with a rule-based checker, deduplicate, and report the resulting source mixture.
normalize(text)Implement the function/class skeleton in the editor. Any correct approach is accepted.
import hashlib, re
from collections import Counter
def normalize(text):
raise NotImplementedError
def prompt_hash(prompt):
raise NotImplementedError
def rule_checker(ex):
raise NotImplementedError
def build_dataset(generators):
raise NotImplementedError⌘/Ctrl↵to submit
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SFT, Instruction Tuning & PEFT
Implement a synthetic-data pipeline: generate candidate examples, validate them with a rule-based checker, deduplicate, and report the resulting source mixture.
normalize(text)Implement the function/class skeleton in the editor. Any correct approach is accepted.