Harvard-DCML/tis-dolci-random-unbalanced
A Critical Look at Targeted Instruction Selection This repository contains the pre-computed random unbalanced subsets used as baselines in the paper "A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't)". Paper: https://huggingface.co/papers/2602.14696 GitHub Repository: https://github.com/dcml-lab/targeted-instruction-selection Description Instruction fine-tuning of large language models (LLMs) often involves… See the full description on the dataset page: https://huggingface.co/datasets/Harvard-DCML/tis-dolci-random-unbalanced.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face