Blessinggreat988/Blind-Spot-Experiment-new-Dataset

Blind-Spot-Experiment-new-Dataset

Dataset Purpose

This dataset was created to investigate blind spots in a base foundation language model.

The experiment was conducted using the Transformers library from :contentReference[oaicite:1]{index=1}.

The evaluated model is :contentReference[oaicite:2]{index=2}.

Model link: https://huggingface.co/Qwen/Qwen3-0.6B

Implementation Details

The model was loaded and tested in Google Colab.

Code used to load the model:

from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "Qwen/Qwen3-0.6B"

tokenizer = AutoTokenizer.frompretrained(modelname)

model = AutoModelForCausalLM.frompretrained( modelname, devicemap="auto", torchdtype="auto" )

Notebook link:

https://colab.research.google.com/drive/1UN53yO2Y2Zu8zef3SGc9dUD1_ETdkjBy?usp=sharing

Experiment Description

Ten diverse prompt-response samples were manually constructed to evaluate prediction weaknesses in the model.

Each dataset record contains:

• —Input prompt
• —Expected correct answer
• —Model generated output

The evaluation focused on:

• —Logical reasoning capability
• —Arithmetic computation accuracy
• —Factual knowledge understanding
• —Hallucination detection
• —Code comprehension
• —Multi-step reasoning consistency

Dataset Construction Strategy

The dataset is exploratory and contains 10 challenging data points where model responses were weak or incorrect.

Dataset expansion can be achieved through:

• —Human annotated examples
• —Synthetic prompt-response generation
• —Domain knowledge aggregation
• —Large-scale data mining

Recommended dataset scale:

• —Basic reasoning correction tasks: hundreds of samples
• —Advanced robust training: thousands to tens of thousands of samples

Blind Spot Observation

The model showed difficulty in maintaining multi-step logical consistency and sometimes generated hallucinated responses under ambiguous prompts.

Dataset Sharing

Dataset Name: Blind-Spot-Experiment-Dataset

Platform: :contentReference[oaicite:3]{index=3} Hub