datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CodeX-7M-Non-Thinking
Modotte
Note: This dataset is part of the lineup CodeX by Modotte. You can get lots of datasets in this same lineup, with the main focus on providing very high-quality datasets for model training and fine-tuning.
This dataset is curated from high-quality public sources and enhanced with synthetic data from both closed and open-source models. It serves as a strong foundation for instruction-based model tuning and fine-tuning, offering one of the most refined and extensive… See the full description on the dataset page: https://huggingface.co/datasets/Modotte/CodeX-7M-Non-Thinking.qwen3-4b-teacher-rollouts-76k-nonthinking
Qwen3-4B Teacher Rollouts 76K Non-Thinking
This dataset contains 76,800 fixed teacher trajectories generated for a
prompt-aligned reproduction study of on-policy distillation with Qwen3-1.7B.
It is an independent research artifact, not an official release from the model
or paper authors.
Models and generation
Teacher: Qwen/Qwen3-4B-Instruct-2507
Tokenizer/chat template: Qwen/Qwen3-1.7B
Mode: non-thinking (enable_thinking=False)
Temperature: 0.7
Top-p: 1.0
Top-k:… See the full description on the dataset page: https://huggingface.co/datasets/YangyiH/qwen3-4b-teacher-rollouts-76k-nonthinking.DAPO-Math-17k-Qwen3-235B-A22B-Thinking-2507-non-thinking-dedup
DAPO Math Qwen3-235B non-thinking, deduplicated
This dataset is derived from
Yang-Zhou/DAPO-Math-17k-Qwen3-235B-A22B-Thinking-2507-rejection-distill, specifically
dapo_distill_boxed_non_thinking.json.
It retains the original LLaMA-Factory-compatible instruction, input, and
output columns. Duplicate rows are identified by collapsing consecutive
whitespace in instruction, trimming leading/trailing whitespace, and hashing
the normalized instruction. The first row in each duplicate… See the full description on the dataset page: https://huggingface.co/datasets/YYYYYYibo/DAPO-Math-17k-Qwen3-235B-A22B-Thinking-2507-non-thinking-dedup.open-perfectblend-qwen3-4b-nonthinking
Open PerfectBlend Qwen3-4B Non-Thinking
This dataset contains 1,349,812 training conversations derived from mlabonne/open-perfectblend. Each assistant turn was regenerated sequentially with Qwen/Qwen3-4B, conditioned on the preceding conversation, with thinking disabled.
Data preparation
Empty or otherwise invalid source conversations were removed before a deterministic train/evaluation split. The split used seed 42 and a held-out fraction of 0.05. Only the 1,349… See the full description on the dataset page: https://huggingface.co/datasets/linYD0718/open-perfectblend-qwen3-4b-nonthinking.perfectblend-regen-qwen3-8b-non-thinking
PerfectBlend Regen Qwen3-8B Non-Thinking 32768 Clean
中文
本仓库包含 PerfectBlend 数据经 Qwen3-8B non-thinking 模式重新生成后的清理版本。数据从 max_tokens=4096 的原始 regen 结果出发，对疑似截断样本继续做 8192 / 16384 / 32768 token 补生成，并移除 context-length 超限、尾部退化，以及 32768 max new tokens 打满但没有自然结束的无界生成样本。
文件
文件
说明
行数
data/train-00000-of-00008.parquet ... data/train-00007-of-00008.parquet
Qwen3-8B non-thinking regen 清理样本
1,420,046
dropped_ids.jsonl
被排除的原始 row id 和原因
863… See the full description on the dataset page: https://huggingface.co/datasets/heiheiha798/perfectblend-regen-qwen3-8b-non-thinking.smoltalk2_non_thinkingnvidia_instruction_following_if_split_v3_non_thinking
Dataset Description
Non-thinking (no chain-of-thought) variant of
tuandunghcmut/nvidia_instruction_following_if_split_v3,
which is itself the instruction_following split of
nvidia/Nemotron-SFT-Instruction-Following-Chat-v3.
The reasoning_content field has been fully removed from every message (not just nulled) — each message
now only has role and content. This is intended for training/evaluation setups that do not use
chain-of-thought / reasoning traces.
Source dataset:… See the full description on the dataset page: https://huggingface.co/datasets/tuandunghcmut/nvidia_instruction_following_if_split_v3_non_thinking.sharegpt-regen-qwen3-8b-non-thinking
ShareGPT Regen Qwen3-8B Non-Thinking 40K Clean
中文
本仓库包含 ShareGPT 数据经 Qwen3-8B non-thinking 模式重新生成、长输出重试和退化样本清理后的版本。原始 4K regen 的 max-token 命中样本依次经过 16K、40K retry；最终移除了 context length 超限、尾部退化/重复、以及人工确认的无界生成样本。
文件
文件
说明
行数
data/train-00000-of-00004.parquet
Hugging Face parquet 分片
10,944
data/train-00001-of-00004.parquet
Hugging Face parquet 分片
10,944
data/train-00002-of-00004.parquet
Hugging Face parquet 分片
10,943… See the full description on the dataset page: https://huggingface.co/datasets/heiheiha798/sharegpt-regen-qwen3-8b-non-thinking.ShareGPT-Qwen3-4B-T0.7-NonThinking-Regen
ShareGPT Qwen3-4B T0.7 Non-Thinking Regen
ShareGPT conversations regenerated with Qwen/Qwen3-4B in non-thinking mode.
Generation settings
temperature: 0.7
top-p: 0.8
top-k: 20
min-p: 0
max tokens: 4096
reasoning: disabled
system message: You are a helpful assistant.
The source contained 36,943 rows. Regeneration produced 36,936 successful rows,
skipped 7 rows, and recorded no generation errors. The dataset contains the
successful rows only.
Each JSONL record has… See the full description on the dataset page: https://huggingface.co/datasets/TY233/ShareGPT-Qwen3-4B-T0.7-NonThinking-Regen.ultrachat-regen-qwen3-8b-non-thinking
UltraChat 200k Regen Qwen3-8B Non-Thinking
中文
本仓库包含 UltraChat 200k
train_sft 经 Qwen3-8B non-thinking 模式重新生成后的清理版本。数据从 max_tokens=4096
的全量 regen 出发，对触顶样本以 max_tokens=39999 做一步补生成，并移除
context-length 超限、尾部退化，以及 39999 max new tokens 打满但没有自然结束的
无界生成样本。
文件
文件
说明
行数
data/train-00000-of-00004.parquet ... data/train-00003-of-00004.parquet
Qwen3-8B non-thinking regen 清理样本
207,652
dropped_ids.jsonl
被排除的原始 row id 和原因
213
格式… See the full description on the dataset page: https://huggingface.co/datasets/heiheiha798/ultrachat-regen-qwen3-8b-non-thinking.nemotron-regen-qwen3-1.7b-non-thinkingqwen3-4b-nonthinking-skywork-rollouts-verified
Qwen3-4B Nonthinking Skywork Math Rollouts
Rollouts generated by Qwen/Qwen3-4B in nonthinking mode. Answers are verified with
math-verify==0.9.0 after extracting the final Answer: or \boxed{} value. Bare LaTeX and text answers are retried inside a math environment before verify.
Rows: 215,040
Prompt groups: 26,880
Samples per prompt: 8
Correct rows: 92,497
Overall success rate: 0.430139
Each row contains binary reward, the success fraction across all samples sharing the
same… See the full description on the dataset page: https://huggingface.co/datasets/YYYYYYibo/qwen3-4b-nonthinking-skywork-rollouts-verified.CodeX-7M-Non-Thinking
XenArcAI
Note: This dataset is part of the lineup CodeX by XenArcAI. You can get lots of datasets in this same lineup, with the main focus on providing very high-quality datasets for model training and fine-tuning.
This dataset is curated from high-quality public sources and enhanced with synthetic data from both closed and open-source models. It serves as a strong foundation for instruction-based model tuning and fine-tuning, offering one of the most refined and extensive… See the full description on the dataset page: https://huggingface.co/datasets/BossCrafts/CodeX-7M-Non-Thinking.anhao_teacher_generate_dataset_nonthinking_mode_qwen3_8b_teacheralpaca-kimi-K2p6-non-thinkingItem-Parser-Dataset-v1.1-1k-non-thinking