datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Nemotron-SFT-Instruction-Following-Chat-v3
Dataset Description:
The Nemotron-Instruction-Following-Chat-v3 dataset is designed to strengthen multi-turn, interactive capabilities, including open-ended chat and precise instruction following.
The chat subset uses human written prompts from sources like lmarena, lmsys, and wildchat as seed prompts. Responses are generated with GLM-5. Multiple responses are sampled from the model and the best response as judged by pairwise comparisons using Qwen3-Nemotron-235B-A22B-GenRM-2603… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v3.Nemotron-SFT-Instruction-Following-Chat-v2
Dataset Description:
The Nemotron-Instruction-Following-Chat-v2 dataset is designed to broadly strengthen the model’s interactive capabilities, including open-ended chat and precise instruction following.The dataset is a refreshed version of Nemotron-Instruction-Following-Chat-v1 with synthetic dialogues generated from Kimi-K2-Thinking, GLM-4.6, Qwen3-235B-A22B-Thinking-2507, GPT-OSS-120b, Kimi-K2-Instruct-0905, and Qwen3-235B-A22B-Instruct-2507.
This dataset is ready for commercial… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v2.Nemotron-Instruction-Following-Chat-v1
Dataset Description:
The Nemotron-Instruction-Following-Chat-v1 dataset is designed to broadly strengthen the model’s interactive capabilities, spanning open-ended chat, precise instruction following, and reliable structured output generation. It combines refreshed chat data from Nemotron-Post-Training-Dataset-v2 (extended to multi-turn) with synthetic dialogues produced by strong frontier models such as GPT-OSS-120B and Qwen3-235B variants.
This dataset is ready for commercial… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Instruction-Following-Chat-v1.llama-3.2-1b-instruct-lmsys-chat-1m-activations
Llama 3.2 1B Instruct Activations (LMSYS-Chat-1M)
This dataset contains whole-model residual stream activations extracted from Meta's Llama 3.2 1B Instruct on conversations from LMSYS-Chat-1M.
Each row stores the complete residual stream across all 16 transformer layers for a single prompt — both the full-sequence activations and the final-token activations.
Note: This is a subset, 8% (from 2 workers of 25) of the full dataset. The complete dataset was ~25 TB and huggingface only… See the full description on the dataset page: https://huggingface.co/datasets/scaleinvariant/llama-3.2-1b-instruct-lmsys-chat-1m-activations.Chat-UniVi-Instruct
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
Paper or resources for more information:
[Paper] [Code]
Nemotron-SFT-Instruction-Following-Chat-v2-prompt-only
Nemotron-SFT-Instruction-Following-Chat-v2-prompt-only
Prompt-only extraction from nvidia/Nemotron-SFT-Instruction-Following-Chat-v2.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-SFT-Instruction-Following-Chat-v2-prompt-only.lmsys-chat-1m-qwen2.5-instructchat-compilation-benchmark-5x-Llama-3.2-Instruct-Shuffledchat-Instruct-en
Chat-Instruct-en
Aggregated English instruction-following and chat examples.
Dataset Summary
Hugodonotexit/chat-Instruct-en is a consolidated dataset of English-only instruction and chat samples.
Each example is stored in one text field containing a <|user|> prompt and a <|assistant|> response.
Upstream Sources
This dataset aggregates data from:
BAAI/Infinity-Instruct
lmsys/lmsys-chat-1 (or the corresponding LMSYS chat release used in this collection)
Before… See the full description on the dataset page: https://huggingface.co/datasets/Hugodonotexit/chat-Instruct-en.lmsys-chat-1m-qwen2-instruct-768lmsys-chat-1m-qwen2.5-instruct-1024-contextdetails_acrastt__RedPajama-INCITE-Chat-Instruct-3B-V1
Dataset Card for Evaluation run of acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1
Dataset Summary
Dataset automatically created during the evaluation run of model acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1 on the Open LLM Leaderboard.
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_acrastt__RedPajama-INCITE-Chat-Instruct-3B-V1.instruct_chat_50k.jsonlinstruct_chat_50k.jsonl which is composed of 30k Chinese sharegpt dataset and 20k alpaca-instruction-Chinese-dataset
Long-instructionsJF_nvidia_Nemotron-SFT-Instruction-Following-Chat-v2_reasoning_offNemotron-Instruction-Following-Chat-and-Knowledge-prompt-only
Instruction Following, Chat and Knowledge Prompt-Only
This dataset combines prompt-only datasets by capability theme for distillation experiments.
It contains 2,235,051 unique prompts from 3,344,905 raw rows;
1,109,854 exact canonical duplicates were removed.
Rows retain the canonical prompt-extraction columns and add source_repo_id for provenance.
Deduplication uses normalized system_prompt, prompt, tools, and schema_str, with the first
row in manifest order retained. Original… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-Instruction-Following-Chat-and-Knowledge-prompt-only.lmsys-chat-1m-qwen2-instructchat-compilation-benchmark-5x-Llama-3.2-Instruct-Shuffledamalia-Nemotron-Instruction-Following-Chat-v1
AMALIA Nemotron-Instruction-Following-Chat-v1
Version of the nvidia/Nemotron-Instruction-Following-Chat-v1 dataset used in the AMALIA's Supervised Fine-Tuning stage.
This dataset went through a processing pipeline to:
Remove entries where the capability_target field was 'chat' from the chat_if split;
Remove entries that reference other LLMs or research labs;
Remove entries that contained the string '/imagine prompt:';
Removed the reasoning_content field;
Original… See the full description on the dataset page: https://huggingface.co/datasets/amalia-llm/amalia-Nemotron-Instruction-Following-Chat-v1.details_Lajonbot__Llama-2-7b-chat-hf-instruct-pl-lora_unload
Dataset Card for Evaluation run of Lajonbot/Llama-2-7b-chat-hf-instruct-pl-lora_unload
Dataset Summary
Dataset automatically created during the evaluation run of model Lajonbot/Llama-2-7b-chat-hf-instruct-pl-lora_unload on the Open LLM Leaderboard.
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_Lajonbot__Llama-2-7b-chat-hf-instruct-pl-lora_unload.details_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4
Dataset Card for Evaluation run of Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4
Dataset Summary
Dataset automatically created during the evaluation run of model Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4 on the Open LLM Leaderboard.
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4.Nemotron-Instruction-Following-Chat-v1
Dataset Description:
The Nemotron-Instruction-Following-Chat-v1 dataset is designed to broadly strengthen the model’s interactive capabilities, spanning open-ended chat, precise instruction following, and reliable structured output generation. It combines refreshed chat data from Nemotron-Post-Training-Dataset-v2 (extended to multi-turn) with synthetic dialogues produced by strong frontier models such as GPT-OSS-120B and Qwen3-235B variants.
This dataset is ready for commercial… See the full description on the dataset page: https://huggingface.co/datasets/Sidsidney/Nemotron-Instruction-Following-Chat-v1.Nemotron-SFT-Instruction-Following-Chat-v3-prompt-only
Nemotron-SFT-Instruction-Following-Chat-v3-prompt-only
Prompt-only extraction from nvidia/Nemotron-SFT-Instruction-Following-Chat-v3.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-SFT-Instruction-Following-Chat-v3-prompt-only.lmsys-chat-1m-qwen2.5-instruct-textInstruction-Tuning-with-GPT-4-RedPajama-Chat
Instruction Tuning with GPT 4 RedPajama-Chat
This dataset has been converted from the Instruction-Tuning-with-GPT-4 dataset for the purpose of fine-tuning the RedPajama-INCITE-Chat-3B-v1 model.
About Instruction-Tuning-with-GPT-4
English Instruction-Following Data generated by GPT-4 using Alpaca prompts for fine-tuning LLMs.
Usage and License Notices
The data is intended and licensed for research use only. The dataset is CC BY NC 4.0 (allowing only… See the full description on the dataset page: https://huggingface.co/datasets/Fredithefish/Instruction-Tuning-with-GPT-4-RedPajama-Chat.Llama-Krikri-8B-Instruct-ChatCreative and vocabulary-rich (LLM-focused) Greek conversation data generated by ilsp/Llama-Krikri-8B-Instruct-GGUF for distlization purposes.
Qwen3-235B-A22B-Instruct-2507-Distilled-chat
Qwen3-235B-A22B-Instruct-2507-Distilled-chat📚
Curated/Funded/Shared by: [Jack Rong]
Language(s): English (major), Chinese, Русский, 한국어, 日本語, others
License: [apache-2.0]
Distilled Model: 🏆Qwen/Qwen3-235B-A22B-Instruct-2507
Qwen3-235B-A22B-Instruct-2507 Benchmarks📊
Introduction:
The objectives of this project are:
Focus on chat capabilities (excluding CoT), covering cross-lingual real-world Q&A/explanation/generation;
Utilize… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/Qwen3-235B-A22B-Instruct-2507-Distilled-chat.reasoning-sft-Nemotron-Instruction-Following-Chat-v1
Nemotron Instruction Following Chat v1 (Reasoning SFT)
Converted version of nvidia/Nemotron-Instruction-Following-Chat-v1, filtered to 157,595 rows where assistant responses include genuine reasoning traces (reasoning_content).
Format
Each row has three columns:
input — list of dicts with role/content conversation turns (system, user, and prior assistant turns up to the final assistant response)
response — <think> block containing the model's reasoning followed by the… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/reasoning-sft-Nemotron-Instruction-Following-Chat-v1.Qwen2.5-distill-v3-instruct-dataset-base-chat-template-40B-20260322Nemotron-SFT-Instruction-Following-Chat-v2
Dataset Description:
The Nemotron-Instruction-Following-Chat-v2 dataset is designed to broadly strengthen the model’s interactive capabilities, including open-ended chat and precise instruction following.The dataset is a refreshed version of Nemotron-Instruction-Following-Chat-v1 with synthetic dialogues generated from Kimi-K2-Thinking, GLM-4.6, Qwen3-235B-A22B-Thinking-2507, GPT-OSS-120b, Kimi-K2-Instruct-0905, and Qwen3-235B-A22B-Instruct-2507.
This dataset is ready for… See the full description on the dataset page: https://huggingface.co/datasets/OperatorSDG/Nemotron-SFT-Instruction-Following-Chat-v2.