datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OpenThoughts-114kThis dataset was converted from open-thoughts/OpenThoughts-114k using the following script.
from datasets import Dataset, load_dataset
SYSTEM = (
"You are an assistant that thoroughly explores questions through a systematic long thinking process "
"before providing the final precise and accurate solutions. "
"This requires engaging in a comprehensive cycle of analysis, summarization, exploration, reassessment, "
"reflection, backtracing, and iteration to develop a… See the full description on the dataset page: https://huggingface.co/datasets/llamafactory/OpenThoughts-114k.OpenThoughts3-Math-17k
OpenThoughts3-Math-17k
This dataset contains 17,000 mathematical reasoning problems from the open-thoughts/OpenThoughts3-1.2M dataset, filtered for:
Math domain
Solutions with ≤16,284 tokens
Solutions containing \boxed{} answers
Format
The dataset is formatted for VERL (Versatile Reinforcement Learning) training with the following fields:
data_source: "open-thoughts/OpenThoughts3-math"
prompt: List of messages with role and content (chat format)
Includes instruction:… See the full description on the dataset page: https://huggingface.co/datasets/YYF42/OpenThoughts3-Math-17k.Pashto-OpenThoughts-15K-Reasoning
Pashto-OpenThoughts-15K-Reasoning
Pashto reasoning dataset based on OpenThoughts-114k, filtered to samples up to approximately 15K characters and translated into natural Pashto.
📌 Dataset Description
Pashto-OpenThoughts-15K-Reasoning is a Pashto reasoning dataset created from the OpenThoughts-114k dataset.
The dataset focuses on translating and preserving reasoning-oriented examples into Pashto while maintaining important technical structures such as:
Python and… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/Pashto-OpenThoughts-15K-Reasoning.open-thoughts-114K-uk
Dataset Card for Ukrainian OpenThoughts 114K
Dataset Description
Dataset Summary
The translated version of OpenThoughts 114K to Ukrainian using google/gemma-3-27b-it.
Languages
Ukrainian (uk)
Data Fields
system: original system prompt
conversation: list of messages in a dialog (array of objects)
from: normalized sender role — user or assistant (system messages are removed)
value: message text
original: original conversations from OpenThoughts 114K… See the full description on the dataset page: https://huggingface.co/datasets/lapa-llm/open-thoughts-114K-uk.openthoughts_no_think
Dataset Card for Ukrainian OpenThoughts 114K
Dataset Description
Dataset Summary
The translated version of OpenThoughts 114K to Ukrainian using google/gemma-3-27b-it. We restructured this dataset for instruction tuning by removing reasoning traces.
Languages
Ukrainian (uk)
Data Fields
system: original system prompt
conversation: list of messages in a dialog (array of objects)
from: normalized sender role — user or assistant (system messages are removed)
value:… See the full description on the dataset page: https://huggingface.co/datasets/lapa-llm/openthoughts_no_think.reasoning-sft-OpenThoughts3-1.2M-450K
reasoning-sft-OpenThoughts3-1.2M-450K
Converted version of open-thoughts/OpenThoughts3-1.2M, filtered to rows with exactly one valid <think>...</think> block. 750K rows were dropped due to missing or malformed think tags.
Format
Each row has three columns:
input — list of dicts (conversation turns with role and content; human → user, last gpt turn removed)
response — gpt response string including <think> reasoning block
domain — task domain (math, code, science)… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/reasoning-sft-OpenThoughts3-1.2M-450K.cleand_openthought312_dif9_tiny元データ: https://huggingface.co/datasets/LLMTeamAkiyama/clean_openthought312_difficulty_9_filterd
データ件数: 1,456
平均トークン数: 5,894
最大トークン数: 8,186
合計トークン数: 8,581,562
ファイル形式: JSONL
ファイル分割数: 1
合計ファイルサイズ: 33.2 MB
加工内容：
元データに対して、token数を8912以下に制限したテスト用tiny版
使用したコード: https://github.com/LLMTeamAkiyama/0-data_prepare/tree/master/src/openthoughts3/clean_openthoughts3_tiny_pickup.ipynb
OpenThoughts-114kThis dataset was converted from open-thoughts/OpenThoughts-114k using the following script.
from datasets import Dataset, load_dataset
SYSTEM = (
"You are an assistant that thoroughly explores questions through a systematic long thinking process "
"before providing the final precise and accurate solutions. "
"This requires engaging in a comprehensive cycle of analysis, summarization, exploration, reassessment, "
"reflection, backtracing, and iteration to develop a… See the full description on the dataset page: https://huggingface.co/datasets/DedeProGames/OpenThoughts-114k.OpenThoughts-114kThis dataset was converted from open-thoughts/OpenThoughts-114k
clean_openthought312_difficulty_9_filterd元データ: https://huggingface.co/datasets/open-thoughts/OpenThoughts3-1.2M
diffculty 9でさらにフィルタリングしたもの
データ件数: 14,339
平均トークン数: 13370
最大トークン数: 16,808
合計トークン数: 191,708,678
ファイル形式: JSONL
ファイルサイズ: 723.9 MB
clean_openthought312_difficulty_9_qwentoken元データ: https://huggingface.co/datasets/LLMTeamAkiyama/clean_openthought312_difficulty_9_filterd
データ件数: 14,339
平均トークン数: 13,367
最大トークン数: 16,805
合計トークン数: 191,665,652
ファイル形式: JSONL
ファイル分割数: 3
合計ファイルサイズ: 724.7 MB
加工内容：
**tokenizeをQwen235B-A22Bで再度トークン化したものを出力
使用したコード
https://github.com/LLMTeamAkiyama/0-data_prepare/blob/master/src/openthoughts3/clean_openthoughts3_9_qwentoken.ipynb