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-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.instruct_chat_50k.jsonlinstruct_chat_50k.jsonl which is composed of 30k Chinese sharegpt dataset and 20k alpaca-instruction-Chinese-dataset
Long-instructionsamalia-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.Llama-Krikri-8B-Instruct-ChatCreative and vocabulary-rich (LLM-focused) Greek conversation data generated by ilsp/Llama-Krikri-8B-Instruct-GGUF for distlization purposes.
Instruction-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.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.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.amalia-Nemotron-SFT-Instruction-Following-Chat-v2
Nemotron-SFT-Instruction-Following-Chat-v2
Version of the nvidia/Nemotron-SFT-Instruction-Following-Chat-v2 dataset used in the AMALIA's Supervised Fine-Tuning stage, both in the base and ramp down stages. The ramp down stage comprised a randomly select subset of the base subset, where part was translated to European Portuguese using google/gemma-4-31B-it.
This dataset went through a processing pipeline to:
Remove entries that reference other LLMs or research labs;… See the full description on the dataset page: https://huggingface.co/datasets/amalia-llm/amalia-Nemotron-SFT-Instruction-Following-Chat-v2.BenevolenceMessiah__Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0-details
Dataset Card for Evaluation run of BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0
Dataset automatically created during the evaluation run of model BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/BenevolenceMessiah__Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0-details.gpt4o-mini-instruction-synthesis-chat-formatshaer-eval-instruction-yehia-base-sft-chat-template
shaer-eval-instruction-yehia-base-sft-chat-template
Clean paper-facing evaluation dataset for the Shaer benchmark.
Rows: 3481
Split: test
Schema
id
base_meter
form
requested_bayts
requested_num_lines
description
enhanced_description
reference_completion
generated_text
meter
count_adherence
description_adherence
meaning
fluency
coherence
poeticness
Notes
meter is the row-level metrical conformity score used in the paper.
This dataset includes… See the full description on the dataset page: https://huggingface.co/datasets/Shaer-AI/shaer-eval-instruction-yehia-base-sft-chat-template.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/Rendra86318/Nemotron-Instruction-Following-Chat-v1.