datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mimo-claude-code-traces-1k
MIMO Claude Code Traces
MIMO Claude Code Traces is a collection of coding-agent trajectories in a Claude Code-style environment. Each record contains a user coding task, the full multi-turn message trace, available tool schemas, assistant reasoning fields, tool calls, tool outputs, and metadata such as model name, category, duration, cost, token usage, and whether the trace used tools.
The traces were generated with mimo-v2.5-pro, MiMo's most capable model at the time of… See the full description on the dataset page: https://huggingface.co/datasets/choucsan/mimo-claude-code-traces-1k.mimose_runsMiMo-2.5-Pro-Reasoning-Traces-Hard
MiMo-2.5-Pro-Reasoning-Traces-Hard
A large-scale reasoning dataset of 8,706 expert-level prompts with full reasoning traces across 44 academic and technical topics, generated using the MiMo-v2.5-Pro model. Each entry contains the step-by-step reasoning chain alongside the final completion, designed for training and evaluating advanced reasoning capabilities in language models.
Dataset Statistics
Metric
Value
Total entries
8,706
Unique topics
44… See the full description on the dataset page: https://huggingface.co/datasets/Skyhigh-2203/MiMo-2.5-Pro-Reasoning-Traces-Hard.MMLongBench-MiMomimo-coding-synthetic-5k
MiMo Coding Synthetic 5.4K
MiMo Coding Synthetic 5.4K is a purely synthetic coding instruction dataset generated with Xiaomi MiMo mimo-v2.5-pro.
It contains 5,411 validated examples across programming languages, coding task types, and difficulty levels. The dataset is provided in two formats:
A canonical rich JSONL format with metadata and labels.
An OpenAI chat messages JSONL format for supervised fine-tuning pipelines.
The generation run used 20 parallel workers for roughly… See the full description on the dataset page: https://huggingface.co/datasets/himanshunakrani9/mimo-coding-synthetic-5k.funes-choucsan-mimo-claude-code-traces-1k
Funes recall store — MiMo Claude Code traces
A funes recall store built by indexing
choucsan/mimo-claude-code-traces-1k
(1,017 Claude Code-style coding-agent sessions generated with mimo-v2.5-pro).
What this is
This is not a raw trace dataset — it is a pre-built funes index: the source
sessions chunked into content blocks and embedded, stored as a
Lance table (chunks.lance).
Source
choucsan/mimo-claude-code-traces-1k (1,017 sessions)
Chunks
30,972… See the full description on the dataset page: https://huggingface.co/datasets/dacorvo/funes-choucsan-mimo-claude-code-traces-1k.mimo-v2.5-pro-distill-frontiermathmimo-rpa small dataset generated from mimo-2.5-pro
sfw, experimental, quality not guaranteed
MiMo-V2-Flash-2300x
MiMo V2 Flash - 2,300x
This is a reasoning dataset created using MiMo V2 Flash with a reasoning depth set to high.
The dataset is meant for creating distilled versions of MiMo V2 Flash by fine-tuning already existing open-source LLMs.
Some of these prompts are from reedmayhew, the rest were generated
Stats
Costs: $ 0.00 (USD)
Total tokens (input + output): 7.36 M
Generated using DataGen by TeichAI
adaption-mimo-coding-synthetic-5k
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-mimo_coding_synthetic_5k
This dataset contains 5,411 synthetic coding instruction examples generated by the Xiaomi MiMo v2.5-pro model, covering diverse programming languages and task types such as security review, debugging, and code generation. Provided in both canonical JSONL and OpenAI chat message formats, it is designed for supervised fine-tuning of code-focused… See the full description on the dataset page: https://huggingface.co/datasets/himanshunakrani9/adaption-mimo-coding-synthetic-5k.mimo-v2.5-pro-distill-multiturn-expr-rpatge1_mimoresponse-data-MiMo-7B-RL-Zeromimo-v2.5-pro-distill-combinedmimo-v2.5-pro-distill-modelwrittenevalsmimo100kmimo-v2.5-pro-distill-welfareresult-mimomimo-v2.5-distill-multiturn-expr-rpchatml_mimochatml_mimo_correctmimo-v2.5-pro-nothink-distill-multiturn-expr-rpgim-query-cold-start-mimo-v25-passat3
GIM Query Cold Start Mimo v2.5 Pass@3
This dataset contains manually curated GIM query cold-start examples for training a reasoning template generator.
Contents
Split: train
Rows: 2,631
Source candidate pool: 2,400 original examples plus 500 archive-derived problem-and-reasoning-slot candidates
Upload filter: valid GIM format and accepted by mimo-v2.5 solver screening under pass@3
Multi-slot expansion: 980 accepted rows with 3-8 MASKED slots… See the full description on the dataset page: https://huggingface.co/datasets/Sculpt-AI/gim-query-cold-start-mimo-v25-passat3.mic-agent-mimo-distillMTabVQA-GRPO-MimoMeta-Llama-3-8Bmimo-v2-pro-claude-distill-hs3mimo-v2.5-distill-dpo-thinking-controlitems_prompts_fullitems_prompts_lite