civil engineering
civil-engineering-gemma-dataindonesian-wikipedia-20250120-civil-engineeringqwen2.5-3b-civil-engineering-blind-spots
Blind Spots of Qwen2.5-3B on Civil Engineering Domain Knowledge
Model Tested
Qwen/Qwen2.5-3B — a 3-billion parameter base language model released by Alibaba Cloud in September 2024. This is the base (not instruction-tuned) variant, selected because it represents the raw pre-training knowledge without task-specific fine-tuning.
How the Model Was Loaded
The model was loaded in a Google Colab notebook using a free T4 GPU:
from transformers import… See the full description on the dataset page: https://huggingface.co/datasets/HammamAkrami/qwen2.5-3b-civil-engineering-blind-spots.civil-engineering-longevity
Civil Engineering Longevity
Infrastructure durability data for civil engineering.
Usage
from datasets import load_dataset
dataset = load_dataset("infra-durability-proj/civil-engineering-longevity")
df = dataset["train"].to_pandas()
Or use the provided loader:
from loader import load_data
df = load_data()
Schema
Metrics
Column
Type
Description
redundancy_factor
float
Normalized metric
load_distribution
float
Normalized metric… See the full description on the dataset page: https://huggingface.co/datasets/infra-durability-proj/civil-engineering-longevity.