smallm
Datasets
All datasets matching “smallm”small-meishismallmeishismall-meishi-pdfSmallMinesDS
SmallMinesDS
The gradual expansion of unregularized artisanal small-scale gold mining (ASGM) fuels environmental degradation and poses risk to miners and mining communities. To enforce sustainable mining, support reclamation initiatives and pave the way for understudying the impacts of mining, we present SmallMinesDS, a benchmark dataset for mapping artisanal small-scale gold mining from multi-sensor satellite images. The initial version of the dataset covers five districts in… See the full description on the dataset page: https://huggingface.co/datasets/ellaampy/SmallMinesDS.small-magpie
Smaller Magpie
A collection of smaller Magpie datasets compared to agentlans/magpie.
For argilla/magpie-ultra-v0.1, only instructions rated as good or excellent were selected.
output_quality corresponds to the original dataset’s score_difference, which is the gap between instruct model and base model responses as evaluated by a reward model.
Please see the original dataset for details.
Source
Rows
argilla/magpie-ultra-v0.1
43923
Mxode/Magpie-Pro-10K-GPT4o-mini10000
small-mind-post-training-data
small-mind-companion — post-training data
Every corpus used to post-train a ~2B vision-language model
(google/gemma-4-E2B-it) for long-horizon personalised companion dialogue, in the order it was
used: LoRA SFT → LoRA DPO → on-policy distillation.
Part of the OneBee Datasets
collection.
Contents
Path
Rows
Schema
sft/v0/{train,val}.jsonl
202 / 23
messages
sft/v1/{train,val}.jsonl
2232 / 248
messages
dpo/v0/{train,val}.jsonl
200 / 23
prompt, chosen… See the full description on the dataset page: https://huggingface.co/datasets/arjhinety/small-mind-post-training-data.
