deep_think
kling-ai-imagesMako-DeepThink-RU
Mako-DeepThink-RU (1.5B Tokens)
Mako-DeepThink-RU — Russian CoT dataset. Because small models deserve to overthink too.
Composition:
40% — Habr IT & Science (engineers explaining things)
30% — Russian CoT (step-by-step, no shortcuts)
20% — Wikipedia RU (curated, >1000 chars)
10% — Python-Edu (algorithms, clean)
License
License: Apache 2.0. Do whatever. Just don't blame us if your model starts reasoning at 3 AM.
EpistemeAI__DeepThinkers-Phi4-details
Dataset Card for Evaluation run of EpistemeAI/DeepThinkers-Phi4
Dataset automatically created during the evaluation run of model EpistemeAI/DeepThinkers-Phi4
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 "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__DeepThinkers-Phi4-details.Deepthink-Reasoning
Deepthink Reasoning Demo
Deepthink Reasoning is a comprehensive data repository designed to break down complex problems, especially in coding (Python, Go, Java, C++, C#, etc.) and algorithms. It provides detailed problem analyses and systematic solutions to achieve the desired outcomes.
Features
Comprehensive Problem Breakdown: Deepthink Reasoning dissects problems into smaller, manageable components to facilitate effective understanding and solution generation.… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Deepthink-Reasoning.deep-thinkbunnycore__DeepThinker-7B-Sce-v1-details
Dataset Card for Evaluation run of bunnycore/DeepThinker-7B-Sce-v1
Dataset automatically created during the evaluation run of model bunnycore/DeepThinker-7B-Sce-v1
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 "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/bunnycore__DeepThinker-7B-Sce-v1-details.
