datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fatima_blind_spot_challengeGot it. From now on I'll write everything inside Markdown blocks so you can copy easily.
Here is your full content entirely in Markdown:
# Fatima Fellowship 2026: Technical Challenge - Model Blind Spots
## 1. Model Overview
- **Model Tested:** [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) (Base Model)
- **Parameters:** 0.6B
- **Type:** Causal Language Model (Base / Pre-trained)
---
## 2. Methodology & Loading
To evaluate the model, I used **Google Colab** with a **T4… See the full description on the dataset page: https://huggingface.co/datasets/moseleydev/fatima_blind_spot_challenge.qwen-3-5-blindspots-fatima-fellowship
Qwen3.5-4B-Base Blindspots Dataset
A collection of 11 prompts where Qwen/Qwen3.5-4B-Base produces incorrect, incomplete, or degenerate outputs. Each row records the input prompt, the raw model output, the extracted model response, the expected (correct) response, and a label for the failure category.
Dataset Summary
Field
Value
Model tested
Qwen/Qwen3.5-4B-Base
Number of examples
11
Columns
prompt, raw_output, thinking, output, expected_output, blindspot… See the full description on the dataset page: https://huggingface.co/datasets/dawaawawa/qwen-3-5-blindspots-fatima-fellowship.fatima-submission-dataset
Fatima Fellowship - Blind Spots Dataset
This dataset is used to store some blind spots on the base model for fellowship submission 2026
Model Tested
CohereLabs/tiny-aya-base
The model was tested primarily on Indonesian language queries to evaluate its capabilities and limitations on low-resource Southeast Asian language content.
Each data point contains the input prompt, the expected output, the model's actual output, and a classification of the error type.
How… See the full description on the dataset page: https://huggingface.co/datasets/habibi26/fatima-submission-dataset.