datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gemma-3-1b-pt-blind-spots
Gemma-3-1b-pt Blind Spots Dataset
Dataset Description
This dataset documents blind spots (systematic errors) found in
google/gemma-3-1b-pt,
a 1-billion-parameter pretrained base model (not instruction-tuned)
released by Google in March 2025 as part of the Gemma 3 family.
Each row contains:
Column
Description
id
Unique probe index
category
Type of reasoning tested
prompt
The input fed to the model (text-completion style)
expected_output
The… See the full description on the dataset page: https://huggingface.co/datasets/Junaid687/gemma-3-1b-pt-blind-spots.gemma-3-1b-pt-blind-spots
Blind Spots of google/gemma-3-1b-pt
Model Tested
Model: google/gemma-3-1b-ptParameters: 1BType: Pre-trained base language model (not instruction-tuned)Tested by: Toka-Tarek | Biotechnology graduate & Pharmacogenetics Lab Specialist
How I Loaded the Model
Tested on Google Colab (free T4 GPU, 16GB VRAM).
Note: torch.float16 caused numerical instability (NaN/inf errors)
on the T4 GPU, so torch.float32 was used instead for stable generation.
from huggingface_hub… See the full description on the dataset page: https://huggingface.co/datasets/Toka-Tarek/gemma-3-1b-pt-blind-spots.