datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Kimi-K2.5-Reasoning-1M-Cleaned
🪐 Kimi-K2.5-Reasoning-1M-Cleaned
Kimi-K2.5-Reasoning-1M-Cleaned is a cleaned derivative of ianncity/KIMI-K2.5-1000000x. It preserves the original four-config layout from the source dataset and rewrites each record into a unified reasoning-SFT schema with id, conversations, input, output, domain, and meta.
Summary
Source dataset: ianncity/KIMI-K2.5-1000000x
Source author: ianncity
Teacher model recorded in meta.teacher_model: KIMI-K2.5
Token lengths computed with… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/Kimi-K2.5-Reasoning-1M-Cleaned.KIMI-K2.5-1000000x
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/ianncity/KIMI-K2.5-1000000x.Creative-Writing-KimiK2.5-Cleaned
Creative-Writing-KimiK2.5-Cleaned
Cleaned creative writing SFT dataset from Kimi K2.5 (655 samples). Prompts cleaned, thinking traces preserved.
Format
Each line is a JSON object with:
messages: list of message dicts with roles (system, user, assistant)
System: writing quality instructions
User: cleaned creative writing prompt
Assistant: creative writing response (may include <think> traces)
Stats
Metric
Value
Total prompt tokens
80… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-KimiK2.5-Cleaned.Kimi-K2.5-Reasoning-General-Sharded
Kimi-K2.5-Reasoning-General-Sharded
Byte-preserving sequential 100 MB JSONL shards of selected files from Jackrong/Kimi-K2.5-Reasoning-1M-Cleaned. All credit for data generation and upstream curation belongs to the source authors. See the upstream dataset card for attribution, source descriptions and license terms.
Included files: General-Distillation.jsonl.
No filtering, shuffling, normalization, tokenization or truncation was performed. Complete records and all original fields… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/Kimi-K2.5-Reasoning-General-Sharded.Kimi-K2.5-Reasoning-1M-Cleaned
🪐 Kimi-K2.5-Reasoning-1M-Cleaned
Kimi-K2.5-Reasoning-1M-Cleaned is a cleaned derivative of ianncity/KIMI-K2.5-1000000x. It preserves the original four-config layout from the source dataset and rewrites each record into a unified reasoning-SFT schema with id, conversations, input, output, domain, and meta.
Summary
Source dataset: ianncity/KIMI-K2.5-1000000x
Source author: ianncity
Teacher model recorded in meta.teacher_model: KIMI-K2.5
Token lengths computed with… See the full description on the dataset page: https://huggingface.co/datasets/rAVEUK/Kimi-K2.5-Reasoning-1M-Cleaned.Creative-Writing-Reasoning-KimiK2.5-600x
Pulitzer Diamond Prose KIMI Seeds
This dataset contains 655 high-quality creative writing seeds generated using Kimi-v1.
Each entry represents a story opening designed to meet high literary standards, including internal thinking traces used during generation.
How it was made
The data was generated using a custom multi-platform generation engine. Models were prompted with a specialized "Diamond Quality" seed template that enforces strict literary requirements:… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Creative-Writing-Reasoning-KimiK2.5-600x.Kimi-K2.5-Reasoning-1M-Cleaned
🪐 Kimi-K2.5-Reasoning-1M-Cleaned
Kimi-K2.5-Reasoning-1M-Cleaned is a cleaned derivative of ianncity/KIMI-K2.5-1000000x. It preserves the original four-config layout from the source dataset and rewrites each record into a unified reasoning-SFT schema with id, conversations, input, output, domain, and meta.
Summary
Source dataset: ianncity/KIMI-K2.5-1000000x
Source author: ianncity
Teacher model recorded in meta.teacher_model: KIMI-K2.5
Token lengths computed… See the full description on the dataset page: https://huggingface.co/datasets/JBrightmanAI/Kimi-K2.5-Reasoning-1M-Cleaned.KIMI-K2.5-1000000-RU
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/YurinKO/KIMI-K2.5-1000000-RU.Kimi-K2.5-Reasoning-Reduced-Luna
Kimi K2.5 Reasoning Reduced with GPT-5.6 Luna
This dataset contains synthetic, lossy compressions of reasoning traces from
Jackrong/Kimi-K2.5-Reasoning-1M-Cleaned,
configuration General-Distillation.
The final-answer suffix is copied programmatically from the source and is not
regenerated by the model. The compressed reasoning is synthetic and is not
guaranteed to preserve every logical detail.
Training columns
Train on conversations_reduced or output_reduced. The… See the full description on the dataset page: https://huggingface.co/datasets/Miska25/Kimi-K2.5-Reasoning-Reduced-Luna.KIMI-K2.5-1000000x
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/nick007x/KIMI-K2.5-1000000x.KimiK2.5-2000x
Kimi K2.5 9000x Dataset
Dataset Description
This dataset contains 2144 high-quality samples generated using Kimi K2.5 model, covering diverse tasks including code generation, mathematical reasoning, and general problem-solving.
Dataset Summary
Total Samples: 2144
Model: Kimi K2.5
Languages: English
Format: JSON
License: Apache 2.0
Task Distribution
The dataset includes samples across multiple domains:
Code Generation: Programming… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/KimiK2.5-2000x.kimi-k2.5-reasoning-1m-cleaned
🪐 Kimi-K2.5-Reasoning-1M-Cleaned
Kimi-K2.5-Reasoning-1M-Cleaned is a cleaned derivative of ianncity/KIMI-K2.5-1000000x. It preserves the original four-config layout from the source dataset and rewrites each record into a unified reasoning-SFT schema with id, conversations, input, output, domain, and meta.
Summary
Source dataset: ianncity/KIMI-K2.5-1000000x
Source author: ianncity
Teacher model recorded in meta.teacher_model: KIMI-K2.5
Token lengths computed… See the full description on the dataset page: https://huggingface.co/datasets/ansulev/kimi-k2.5-reasoning-1m-cleaned.Kimi-K2.5-Reasoning-1M-Cleaned
🪐 Kimi-K2.5-Reasoning-1M-Cleaned
Kimi-K2.5-Reasoning-1M-Cleaned is a cleaned derivative of ianncity/KIMI-K2.5-1000000x. It preserves the original four-config layout from the source dataset and rewrites each record into a unified reasoning-SFT schema with id, conversations, input, output, domain, and meta.
Summary
Source dataset: ianncity/KIMI-K2.5-1000000x
Source author: ianncity
Teacher model recorded in meta.teacher_model: KIMI-K2.5
Token lengths computed with… See the full description on the dataset page: https://huggingface.co/datasets/EngMuhammadAtef/Kimi-K2.5-Reasoning-1M-Cleaned.KIMI-K2.5-1000000x
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/WWX0825/KIMI-K2.5-1000000x.KIMI-K2.5-1000000x
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/BhaweshSingh/KIMI-K2.5-1000000x.KIMI-K2.5-1000000x
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/TheDrMoniker/KIMI-K2.5-1000000x.KIMI-K2.5-1000000x
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/bitsydarel/KIMI-K2.5-1000000x.KIMI-K2.5-700000x
KIMI-K2.5-700000x
700,000 reasoning traces distilled from KIMI-K2.5 on high reasoning
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability)
Computer Science: 5%
Logical Questions 5%
Creative Writing: 5%
Token Count: 2.5B
[!NOTE]
Data Collection
Collected using a modified Datagen… See the full description on the dataset page: https://huggingface.co/datasets/Alptekinege/KIMI-K2.5-700000x.kimi-k2.5-mtp-dataset
Kimi-K2.5 Eagle3 Training Data
This dataset contains the instruction-following data used to train an Eagle3 MTP draft model for Kimi-K2.5 with TorchSpec.
All responses were regenerated by running Kimi-K2.5 via SGLang rather than taken from the original datasets. This is critical for speculative decoding training: the draft model must learn the exact token-level distribution of the target model it is accelerating.
The trained Eagle3 draft model is available at… See the full description on the dataset page: https://huggingface.co/datasets/UnicornChan/kimi-k2.5-mtp-dataset.KIMI-K2.5-filteredKIMI-K2.5-450000x
KIMI-K2.5-450000x
450,000 reasoning traces distilled from KIMI-K2.5 on high reasoning
Distribution:
Coding: 60% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 15% (Physics, Chemistry, Biology)
Math: 10% (Algebra, Calculus, Probability)
Computer Science: 5%
Logical Questions 5%
Creative Writing: 5%
Token Count: 1.8B
[!NOTE]
Data Collection
Collected using a modified Datagen by TeichAI, over the course of about (20) hours… See the full description on the dataset page: https://huggingface.co/datasets/LIwenjun-123/KIMI-K2.5-450000x.KIMI-K2.5-1000000x
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/GetWetter/KIMI-K2.5-1000000x.kimi-k2.5-550k
KIMI-K2.5-550000x
550,000 reasoning traces distilled from KIMI-K2.5 on high reasoning
Distribution:
Coding: 60% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 15% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 10% (Algebra, Calculus, Probability)
Computer Science: 5%
Logical Questions 5%
Creative Writing: 5%
Token Count: 2B
[!NOTE]
Data Collection
Collected using a modified… See the full description on the dataset page: https://huggingface.co/datasets/ansulev/kimi-k2.5-550k.KIMI-K2.5-1000000x
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/Arun63/KIMI-K2.5-1000000x.