datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MiniCPM5-1B-atlas
juiceb0xc0de/MiniCPM5-1B-atlas
A brain atlas for openbmb/MiniCPM5-1B, a 1B on-device model with a 130k bilingual vocabulary. This is not a chat dataset or a benchmark. It is an internal-mechanics map, built by running activations through a corpus of prompts and scoring what each layer, component, head, and feature direction is doing.
If you want to know which parts of this model are safe to edit, where its output-vocabulary directions live, or which layers are carrying the most… See the full description on the dataset page: https://huggingface.co/datasets/juiceb0xc0de/MiniCPM5-1B-atlas.minicpm5-swe-native-eval-archive
MiniCPM5 原生 SWE 评测归档：32 run / 5842条任务记录
历史100-turn协议为11run/2200题，新600-turn协议为15run/3000题。各组独立目录；按同题配对，并保留调度和review差异。新协议表格见本文后半部分。
历史100-turn协议：11 run
11个run、2200题；同一固定100 Verified +100 Pro，各run终态与scratch/serving清理已核验。每题一个原始CC轨迹JSON，不重复保存每轮完整请求历史。
run
Verified 正确/已评分
V review
Pro 正确/已评分
P review
midtrain
51/93 (54.84%)
7
44/89 (49.44%)
11
step500
31/69 (44.93%)
31
21/60 (35.00%)
40
step1000
39/93 (41.94%)
7
19/83 (22.89%)
17
step1500
18/52… See the full description on the dataset page: https://huggingface.co/datasets/eigentom/minicpm5-swe-native-eval-archive.minicpm5-sft3-3turn
minicpm5-sft3-3turn
Training / validation data for stage 1 (SFT) of the writing ladder behind
baiango/minicpm5-ul4b-story.
English fiction: each record is a templated writing instruction plus a
three-segment story distilled from teacher poolside/laguna-s-2.1
(3-turn chunked generation, automated quality gates).
Generation and training code for the full ladder: baiango/minicpm5-story-ladder.
Dataset summary
1,637 train / 40 valid records, one uniform schema across… See the full description on the dataset page: https://huggingface.co/datasets/baiango/minicpm5-sft3-3turn.minicpm5-sft-v10-deepseek-swe
nanocode-sft-ds-v10: cleaned DeepSeek-teacher SWE agent trajectories
Supervised fine-tuning rows for MiniCPM5-2B (tokenizer revision 0a45344e, chat template sha256 cc945752...), distilled
from a DeepSeek teacher (deepseek-v4.1-flash) acting in a Claude-Code-style harness (tools Bash, Read, Edit, Write) on
repository-level software-engineering tasks. Only resolved episodes (the final patch passed the task's tests) are used.
This is the DS component of the nanocode SFT mix v10; it… See the full description on the dataset page: https://huggingface.co/datasets/LingweiGu/minicpm5-sft-v10-deepseek-swe.minicpm5-2b-damage-labels
MiniCPM5-2B Damage Labels (MERNIK teacher)
Per-group measured quantization damage for MiniCPM5-2B (dense 2.6B, 42 layers).
What
damage_minicpm5_2b.jsonl — 169 rows: 1 BASELINE + 168 tied-group units.
Each unit row: the group dropped Q5_K → Q3_K while everything else stays at
Q5_K, scored by wikitext-2 PPL (-c 1024 -n 64 --seed 7).
{"unit": "ffn_down@7", "tensors": ["blk.7.ffn_down.weight"],
"ppl": 13.5364, "damage": 0.1732}
ssim_minicpm.npz — measured structural… See the full description on the dataset page: https://huggingface.co/datasets/wepiqx/minicpm5-2b-damage-labels.minicpm5-1b-quantization-benchmark
openbmb/MiniCPM5-1B 次世代量子化（Quanto FP8 / INT4 vs BNB 4bit）実測ベンチマークレポート
対象モデル: openbmb/MiniCPM5-1B (1.16B parameters, 128k context, LlamaForCausalLM)
検証ハードウェア: NVIDIA GeForce RTX 4070 Ti (12GB GDDR6X, Ada Lovelace, Compute Capability 8.9, 第4世代Tensor Core)
実行環境: Windows / Python 3.13 / PyTorch 2.6.0+cu124 / transformers 4.57.6 / optimum-quanto 0.2.7 / bitsandbytes 0.50.0
検証日: 2026-09-19 12:12:34
1. エグゼクティブサマリー（全体比較）
NVIDIA GeForce RTX 4070 Ti 実機環境において、標準ネイティブ… See the full description on the dataset page: https://huggingface.co/datasets/aoiandroid/minicpm5-1b-quantization-benchmark.minicpm5-sft-swe-validation-200
MiniCPM5 SFT SWE Validation 200
A fixed, public task index for small-scale software-engineering evaluation. It contains two configurations, verified and pro, each with exactly 100 distinct tasks: 70 that the historical MiniCPM5-2B SFT baseline resolved and 30 that it did not resolve. Every row has benchmark, instance_id, task_id, sft_resolved, repo, and base_commit.
The task statements, repository contents, reference patches, and tests are not copied into this dataset. Join… See the full description on the dataset page: https://huggingface.co/datasets/eigentom/minicpm5-sft-swe-validation-200.minicpm5-stock-v2-forward-return
MiniCPM5 Stock v2 — Forward-Return Labels
Binary BUY/SELL stock-direction dataset where labels come from actual forward
5-day returns (BUY > +2%, SELL < -2%, middle band dropped), not news sentiment.
All features are strictly causal (no look-ahead): last 20 daily returns, RSI(14),
volume ratio vs 20d MA, 20d volatility, 5d/20d momentum, 20d relative strength vs SPY.
train_minicpm5_v2.jsonl — 5,056 rows, 16 tickers, class-balanced
val_minicpm5_v2.jsonl — 1,586 rows, 4 held-out… See the full description on the dataset page: https://huggingface.co/datasets/ewin-reg/minicpm5-stock-v2-forward-return.MiniCPM5-2B-distill
MiniCPM5-2B-distill:
Distillation of MiniCPM5-2B (thinking off). Example:
{
"i":402, # i: unique ID
"kind":"chat", # kind of data; chat: user/assistant pairs, text: paragraphs
"cat":"explain", # category: can be used to sort data. E.g. "math", "greet", "creative", "text", "explain" etc...
"tok":65, # tokens amount: can be used to sort length. Most chat pairs are under 128 tokens and text under 512 tokens.
"text":"<|user|>\nWhat are the current… See the full description on the dataset page: https://huggingface.co/datasets/Dsg2/MiniCPM5-2B-distill.minicpm5-stage1-datawellness_voice_triplets_20250908_Chi_All_MiniCPM_r25to45minicpm5-vivamais-text-sft-v4
MiniCPM5 Viva Mais text SFT v4
This dataset contains the redacted training and evaluation artifacts used for
marinarosa/minicpm5-1b-vivamais-v4. It was built for Viva Mais, a local-first Portuguese WhatsApp
travel-agency copilot that answers grounded questions from an extracted CRM
context.
Files
data/train.jsonl: 4000 chat-format SFT rows.
data/eval/vivamais_qa_eval.jsonl: 158 dashboard QA eval
rows.
data/teacher/rio31_teacher_distill.jsonl: 80 accepted
rows… See the full description on the dataset page: https://huggingface.co/datasets/marinarosa/minicpm5-vivamais-text-sft-v4.openbmb__MiniCPM-S-1B-sft-llama-format-details
Dataset Card for Evaluation run of openbmb/MiniCPM-S-1B-sft-llama-format
Dataset automatically created during the evaluation run of model openbmb/MiniCPM-S-1B-sft-llama-format
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/openbmb__MiniCPM-S-1B-sft-llama-format-details.visualize-tagged-minicpm-prompt-allPeng_UNO_Flux_Images_MiniCPM_V4_5_ZH_CaptionedPeng_UNO_Flux_Images_MiniCPM_V4_5_EN_Captionedconceptbench_path_vqa_result_2_minicpm_v_8b_evaluatedminicpm5-chatml-mix
MiniCPM5-1B ChatML Mix
Merged ChatML dataset for supervised fine-tuning.
Sources:
Modotte/CodeX-2M-Thinking
nvidia/OpenCodeReasoning-2 or nvidia/OpenCodeReasoning
lambda/hermes-agent-reasoning-traces
Roman1111111/gpt5.5-terminal
ansulev/GPT-5.5-Thinking-Max-Distill-25k
ansulev/Opus-4.7-Reasoning-CoT-4800x
Each row contains:
id
source_dataset
source_split
source_kind
messages
metadata_json
visualize-tagged-minicpm-promptv1minicpm_sftminicpm5-vivamais-text-sft-v1
MiniCPM5 Viva Mais Text SFT v1
This dataset is the exact JSONL training/evaluation package used for the
MiniCPM5 Viva Mais text QA candidate v1 run.
Files
minicpm5_text_sft.jsonl: 12,000 SFT rows.
vivamais_qa_eval.jsonl: 32 fixed Viva Mais dashboard QA eval rows.
Training Mix
The SFT mix was generated by the Viva Mais repository pipeline from the Modal
volume minicpm5-vivamais-text-data:
2,400 rows from Polygl0t/gigaverbo-v2-sft
5,400 Viva Mais… See the full description on the dataset page: https://huggingface.co/datasets/marinarosa/minicpm5-vivamais-text-sft-v1.conceptbench_path_vqa_result_2_minicpm_v_8bminicpm5-vivamais-text-sft-v3
MiniCPM5 Viva Mais text SFT v3
This dataset package contains the exact redacted JSONL artifacts produced by
the Viva Mais MiniCPM5 text v3 Rio-distillation candidate run.
The v3 model candidate was not published because the eval gate caught more
cross-client leakage than the published v1 model. The dataset is published for
auditability and for future ablations, not as an endorsement of the v3 model.
Files
data/train.jsonl: 3500 SFT rows.… See the full description on the dataset page: https://huggingface.co/datasets/marinarosa/minicpm5-vivamais-text-sft-v3.minicpm5-agent-corpus-canonicalminicpm5-computer-browser-coding-v2minicpm5-tool-calling-xmlMiniCPM_V_2_5_invoice_datasetEula_Lawrence_Images_MiniCPM_V4_5_Captioned
minicpm-v_8b_discrete_standardizedminicpm-v_8b_discrete_results