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README.md
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@@ -114,7 +114,7 @@ We first compiled a list of models by triangulating across public sources (e.g.,
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For these models, we identified sources for first-party and third-party reports through complementary searches:
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- **First-party**: Manual search of provider websites for papers, technical reports, model cards, system cards, blogs, and press releases
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- **Third-party**:
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- **Leaderboards**: Targeted queries on Google Search and Hugging Face Spaces
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#### Who are the source data producers?
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#### Annotation process
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In total, we compiled data from
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The social impact categories are:
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1. Bias, Stereotypes, and Representational Harms
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For these models, we identified sources for first-party and third-party reports through complementary searches:
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- **First-party**: Manual search of provider websites for papers, technical reports, model cards, system cards, blogs, and press releases
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- **Third-party**: Automatic search using Paperfinder for peer-reviewed academic papers
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- **Leaderboards**: Targeted queries on Google Search and Hugging Face Spaces
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#### Who are the source data producers?
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#### Annotation process
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In total, we compiled data from 186 first-party release time sources and 248 post-release sources (out of which 211 are fully third-party, 17 are fully first-party, and there are 20 sources by model providers that report both results for their own model (labeled as first-party) and those of other providers’ (labeled as third-party)).
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This forms 4241 evaluation instances. Each instance was annotated against the seven social impact dimensions using a standardized guide. Annotations were performed by individual researchers, with manual spot checks for consistency.
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The social impact categories are:
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1. Bias, Stereotypes, and Representational Harms
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