iridescent
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_shy_toucanQwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-screeching_iridescent_butterflykrea-2-iridescent-prismatic-overexposed-lorakrea-2-iridescent-crystal-bokeh-lorakrea-2-chrome-iridescent-render-lorakrea-2-iridescent-crystal-dream-lorakrea-2-neon-iridescent-dreamscape-loraQwen2.5-0.5B-Instruct-Gensyn-Swarm-padded_iridescent_anaconda
SparseEval_benchmark_data
Benchmark Data
This directory contains the raw benchmark prediction results in CSV format. These files represent the model outputs and ground truth correctness for various datasets.
File Format
Each CSV file should contain the following columns:
source: The identifier of the model that generated the prediction.
item: The identifier of the specific test instance (question/sample).
correct: A binary value indicating whether the model's prediction was correct (1) or… See the full description on the dataset page: https://huggingface.co/datasets/iridescentttt/SparseEval_benchmark_data.SparseEval_preprocess_data
Processed Data
This directory contains the preprocessed benchmark data in PyTorch tensor format. These files are optimized for efficient loading and are successfully used by the SparseEval framework.
Content
The files in this directory are generated from the raw CSVs in benchmark_data/ (or downloaded directly). They typically include:
Tensor files (.pt): Storing the performance matrices and other necessary data structures for the sparse optimization algorithms.… See the full description on the dataset page: https://huggingface.co/datasets/iridescentttt/SparseEval_preprocess_data.SARD-Vulnerability-DatasetMVUNetvtab-1k-pngSARD