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0xJupiter/SocialAttributionQA

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Tasks

Citation text from the card

The Social Attribution QA Benchmark is a derived benchmark for provenance-aware
social attribution question answering over Fediverse data. It is designed to
evaluate whether a system can identify who said a statement, what a person
said, and whether attribution remains correct under entity, temporal, social,
and collaborative constraints.

This release contains 1,200 four-option multiple-choice questions organized
into eight task files. The benchmark is derived from the source dataset
`FediData` and is released as a benchmark artifact rather than as a raw
social-media dump.

This release is evaluation-oriented and is distributed as task files rather
than as train/dev/test splits.

![Benchmark pipeline](figures/benchmark_pipeline.png)

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dataset_licence({ "id": "0xJupiter/SocialAttributionQA" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0