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.MiniCPM-RobotManip-LIBERO
MiniCPM-RobotManip LIBERO
This dataset contains the four LIBERO suites converted to LeRobot v3 format
for the MiniCPM-RobotManip LIBERO full-parameter fine-tuning example in
starVLA.
Dataset summary
Suite
Episodes
Frames
Videos
LIBERO-10
358
95,740
716
LIBERO-Goal
405
48,131
810
LIBERO-Object
450
66,294
900
LIBERO-Spatial
423
51,707
846
Total
1,636
261,872
3,272
Format: LeRobot v3
Frequency: 20 Hz
Cameras: agent view and wrist view
Video… See the full description on the dataset page: https://huggingface.co/datasets/openbmb/MiniCPM-RobotManip-LIBERO.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-agent-corpus-8k-tokenizedminicpm-v_8b_discrete_standardizedopenbmb__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.minicpm-v_8b_discrete_resultsminicpm-v_8b_continuous_results