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license: other
pretty_name: Token-CX Artifacts
tags:
- explainable-ai
- computer-vision
- vision-transformer
- concept-based-explanations
- imagenet
- datasets
- tabular
configs:
- config_name: bank_samples
data_files:
- split: train
path: manifests/bank_samples.parquet
default: true
- config_name: evaluation_samples
data_files:
- split: validation
path: manifests/evaluation_samples.parquet
- config_name: deit_exemplars
data_files:
- split: train
path: banks/deit_b16_distilled/exemplars.parquet
- config_name: deit_diagnostics
data_files:
- split: train
path: banks/deit_b16_distilled/diagnostics.parquet
- config_name: vit_exemplars
data_files:
- split: train
path: banks/vit_b16/exemplars.parquet
- config_name: vit_diagnostics
data_files:
- split: train
path: banks/vit_b16/diagnostics.parquet
Token-CX Artifacts
This dataset repository contains the numerical class-specific concept banks and reproducibility metadata used by Token-CX: Token Concept-Based Explanations for Vision Transformers.
Contents
banks/*/bases.safetensors: fixed class-specific NMF bases for 1,000 ImageNet classes.banks/*/exemplars.parquet: identifiers and patch locations of the top-activating training examples for each concept.banks/*/diagnostics.parquet: per-class NMF diagnostics.manifests/*: the exact training and evaluation manifests.artifact_manifest.jsonandchecksums/sha256sums.txt: provenance and file integrity metadata.
The released banks use Transformer Block 9 and concept rank K=4. Each class
bank was constructed from 100 ImageNet training images while retaining all 196
patch locations per image. ViT-B/16 and DeiT-B/16-Distilled use the same
training and evaluation manifests.
ImageNet notice
This repository does not redistribute ImageNet images or image crops. Manifest and exemplar rows contain identifiers and relative paths only. Users must obtain ImageNet separately and comply with the ImageNet terms of access.
Code
The implementation is maintained at https://github.com/VuTrinhNguyenHoang/Token-CX.