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ZENODO
Dataset . 2023
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Dataset . 2023
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Dataset . 2023
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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FIND: A Function Interpretation Dataset and Benchmark for Evaluating Interpretability Methods

Research datakeyboard_double_arrow_right Dataset 13 Jun 2023 English Publisher:Zenodo
Authors: Schwettmann, Sarah; Rott Shaham, Tamar; Materzynska, Joanna; Chowdhury, Neil; Li, Shuang; Andreas, Jacob; Bau, David; +1 Authors

doi: 10.5281/zenodo.8332767 , 10.5281/zenodo.8039658

FIND: A Function Interpretation Dataset and Benchmark for Evaluating Interpretability Methods

Abstract

FIND is an interactive dataset for evaluating AI interpretability methods on black box functions. This dataset contains all function files for the FIND benchmark and JSON files with associated metadata. The utilities provided in the associated FIND GitHub Repository support running and evaluating interpretation of the functions with user-defined interpreters.

Related Organizations
Keywords

machine learning, AI, interpretability, nlp, explainable AI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average