Data Provenance Explorer Enhances AI Training
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dataset creatorsScienceDaily
•Transparency is often lacking in datasets used to train large language models
81% Informative
Data Provenance Explorer can help machine-learning practitioners make more informed choices about the data they train their models on, which could improve the accuracy of models deployed in the real world.
Researchers from MIT and elsewhere launched a systematic audit of more than 1,800 text datasets on popular hosting sites.
They found that more than 70 percent of these datasets.
Nearly all dataset creators were concentrated in the global north, researchers say.
The researchers also saw a spike in restrictions placed on datasets created in 2023 and 2024 .
The Data Provenance Explorer allows users to download a data provenance card that provides a structured overview of dataset characteristics.
VR Score
91
Informative language
98
Neutral language
58
Article tone
semi-formal
Language
English
Language complexity
68
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
no external sources
Source diversity
no sources
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