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Datasets for Instruction Tuning of Large Language Models
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| 2026-08-02 | 261 |
| 2026-11-03 | 262 |
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# Instruction Tuning Datasets All available datasets for Instruction Tuning of Large Language Models ### Gold standard datasets - P3: https://github.com/bigscience-workshop/promptsource, https://huggingface.co/datasets/bigscience/P3 - Collection of prompted English datasets covering a diverse set of NLP tasks - 2000 prompt types over 270 datasets - xP3: https://huggingface.co/datasets/bigscience/xP3mt - Mixture of 13 training tasks in 46 languages with prompts in 20 languages (machine-translated from English) - Natural Instructions v2: https://github.com/allenai/natural-instructions - A benchmark of 1,616 diverse NLP tasks and their expert-written instructions, covering 76 distinct task types and 55 different languages. - The Flan Collection: https://github.com/google-research/FLAN/tree/main/flan/v2 - superset of some of the datasets here - 1836 Tasks, 15m examples - Open Assistant: https://huggingface.co/datasets/OpenAssistant/oasst1 - Human-annotated assistant-style conversation corpus consisting of 161,443 messages distributed across 66,497 conversation trees, in 35 different languages, annotated with 461,292 quality ratings - LIMA: 1K high-quality instructions - https://huggingface.co/datasets/GAIR/lima - databricks-dolly-15k: https://github.com/databrickslabs/dolly/tree/master/data - PRESTO: https://github.com/google-research-datasets/presto - 550K contextual multilingual conversations between humans and virtual assistants - BB3x: https://parl.ai/projects/bb3x/ - InstructCTG: https://github.com/MichaelZhouwang/InstructCTG - Framework for controlled generation https://arxiv.org/abs/2304.14293 - CrossFit: https://github.com/INK-USC/CrossFit - tasksource: https://arxiv.org/abs/2301.05948 - ExMix: https://arxiv.org/abs/2111.10952 - InstructEval: https://github.com/declare-lab/instruct-eval - M3IT: https://huggingface.co/datasets/MMInstruction/M3IT - https://arxiv.org/abs/2306.04387 - 2.4M multi-modal instances and 400 instructions across 40 tasks and 80 languages - MIMIC-IT: Multi-Modal In-Context Instruction Tuning : https://arxiv.org/abs/2306.05425 - MultiInstruct: https://github.com/VT-NLP/MultiInstruct - COLLIE: https://github.com/princeton-nlp/Collie - Mind2Web: Towards a Generalist Agent for the Web https://osu-nlp-group.github.io/Mind2Web/ - Android in the Wild: A Large-Scale Dataset for Android Device Control: https://github.com/google-research/google-research/tree/master/android_in_the_wild - FLASK: Fine-grained Language Model Evaluation Based on Alignment Skill Sets https://github.com/kaistAI/FLASK - Safe-RLHF: https://arxiv.org/abs/2310.12773 - https://arxiv.org/pdf/2310.12773.pdf#https%3A//github.com/PKU-Alignment/safe-rlhf - HelpSteer: https://huggingface.co/datasets/nvidia/HelpSteer ### Silver standard/Generated using LM - Self-Instruct: https://github.com/yizhongw/self-instruct - Unnatural Instructions: https://github.com/orhonovich/unnatural-instructions - Alpaca: https://huggingface.co/datasets/tatsu-lab/alpaca - Alpaca-Clean: https://github.com/gururise/AlpacaDataCleaned - Code Alpaca: https://github.com/sahil280114/codealpaca - AlpacaGPT3.5Customized: https://huggingface.co/datasets/whitefox44/AlpacaGPT3.5Customized - GPT4All: https://github.com/nomic-ai/gpt4all - GPT4All-pruned: https://huggingface.co/datasets/Nebulous/gpt4all_pruned - ShareGPT: https://huggingface.co/datasets/RyokoAI/ShareGPT52K - GPTeacher: https://github.com/teknium1/GPTeacher - CAMEL🐪: https://www.camel-ai.org/ - Human ChatGPT Comparison Corpus: https://github.com/Hello-SimpleAI/chatgpt-comparison-detection - InstructionWild: https://github.com/XueFuzhao/InstructionWild - Instruction Tuning with GPT-4: https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM - Guanaco: https://huggingface.co/datasets/JosephusCheung/GuanacoDataset - The LongForm Dataset: https://github.com/akoksal/LongForm/tree/main/dataset - LLM instruction generation for a diverse set of corpus samples (27,739 instructio
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matched fp:f70ac8317a297944, topic:dataset, name:datasets, desc:datasets
matched fp:f70ac8317a297944, topic:instruction-tuning, desc:instruction tuning
matched fp:f70ac8317a297944, topic:large-language-models
matched fp:f70ac8317a297944, topic:chatgpt