jianzhnie / awesome-instruction-datasetsLinks
A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。
☆688Updated last year
Alternatives and similar repositories for awesome-instruction-datasets
Users that are interested in awesome-instruction-datasets are comparing it to the libraries listed below
Sorting:
- Aligning Large Language Models with Human: A Survey☆730Updated last year
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆736Updated 4 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆769Updated 2 years ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆546Updated last year
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,126Updated last year
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆370Updated last year
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆498Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆561Updated 7 months ago
- Generative Representational Instruction Tuning☆662Updated last month
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆873Updated 2 weeks ago
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆952Updated 9 months ago
- The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.☆781Updated last year
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆335Updated 2 years ago
- ☆554Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,185Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆504Updated last year
- ☆1,254Updated 5 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆468Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆912Updated 5 months ago
- Official repository for ORPO☆460Updated last year
- distributed trainer for LLMs☆578Updated last year
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,816Updated 7 months ago
- Chat Templates for 🤗 HuggingFace Large Language Models☆688Updated 7 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆626Updated last year
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆781Updated 6 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆352Updated last year
- ☆525Updated 8 months ago
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,461Updated 2 years ago
- Expanding natural instructions☆1,010Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆569Updated last year