datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
repro-prototype-transformer-towards-language-model-architectures-interpretable-by-design-traces
Agent traces
Agent sessions published from a Trackio Logbook.
Interpretable_word_embeddings_large_cskgThese embeddings result from applying SemAxis (https://arxiv.org/abs/1806.05521) to common sense knowledge graph embeddings (https://arxiv.org/abs/2012.11490).
interpretable_word_embeddingsThese word embeddings were computed using the POLAR technique to reproject 'common' word embeddings into roundabout 700 interpretable dimensions of polar opposites (i.e. good/bad).
I just used their scripts here:
https://github.com/Sandipan99/POLAR
I applied those on the wikidata5m embeddings, 5 million knowledge graph embeddings (SimplE).
https://graphvite.io/docs/latest/pretrained_model.html
As the model became too huge, I further filtered it for overlap with fasttext embedding tokens.… See the full description on the dataset page: https://huggingface.co/datasets/KnutJaegersberg/interpretable_word_embeddings.aadigupta1601_ai-vs-human-art-interpretable-numerical-features
AI vs Human Art — Interpretable Numerical Features
An Interpretable Numerical Representation of Visual Artworks for Comparative Ana
Dataset Info
Source: Kaggle
Original Size: 0.08 MB
Kaggle Downloads: 37
Files: 1
Files
ai_vs_human_art_interpretable_numeric.csv
Mirrored from Kaggle
Wis_T_InterpretableWis_Validation_Interpretablesemantic-dogrepro-minimax-learning-of-interpretable-factored-stochastic-policies-from-conjoint-data-with-unc
Reproduction: Learning Interpretable Factored Policies from Conjoint Data with MiniMax Learning
Paper Information
Title: Learning Interpretable Factored Policies from Conjoint Data with Uncertainty-Calibrated Minimax Learning
OpenReview ID: GJblFvJcMb
Conference: ICML 2026
Task: Optimal treatment selection from conjoint survey data using minimax game-theoretic framework
Reproduction Summary
This reproduction evaluates the paper's claims about… See the full description on the dataset page: https://huggingface.co/datasets/sabaridsnfuji/repro-minimax-learning-of-interpretable-factored-stochastic-policies-from-conjoint-data-with-unc.An_Interpretable_Graph_Neural_Network_Approach_for_Clustering_Potential_Source_Samples
