raunak-agarwal / instruction-datasets
All available datasets for Instruction Tuning of Large Language Models
☆231Updated 9 months ago
Related projects: ⓘ
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆235Updated last year
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆300Updated 11 months ago
- Generative Judge for Evaluating Alignment☆208Updated 8 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆268Updated last week
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆467Updated 3 months ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆201Updated 10 months ago
- ☆99Updated last year
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆208Updated last week
- A large-scale, fine-grained, diverse preference dataset (and models).☆299Updated 8 months ago
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆196Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆292Updated 8 months ago
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆204Updated 8 months ago
- Chain-of-Hindsight, A Scalable RLHF Method☆213Updated 11 months ago
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆289Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆508Updated 6 months ago
- ☆246Updated 9 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆366Updated 4 months ago
- ☆259Updated 8 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆411Updated 2 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆416Updated 6 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆342Updated 2 months ago
- DSIR large-scale data selection framework for language model training☆221Updated 5 months ago
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆128Updated 2 months ago
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆148Updated 6 months ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆442Updated last month
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆244Updated last week
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆300Updated 8 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆405Updated 4 months ago
- ToolBench, an evaluation suite for LLM tool manipulation capabilities.☆134Updated 6 months ago
- Source Code of Paper "GPTScore: Evaluate as You Desire"☆219Updated last year