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README.md

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-license: odc-by
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+---
+license: odc-by
+pretty_name: Asta AI Citation Logs
+---
+## Dataset Summary
+This dataset tracks which scientific papers are most often cited by **Asta**, an agentic research platform that uses retrieval-augmented generation (RAG) to answer scientific questions. Each record corresponds to a citation event in Asta's *Summarize Literature* tool, showing which papers the system retrieved and cited across more than **113,000 user queries**, **four million citations** to over **two million distinct papers**.  
+By making these data public, we aim to create a transparent, trackable measure of which research most directly powers AI-generated answers—helping ensure that scientific contributions are visible and credited in the AI era.
+
+We release this dataset under the **Open Data Commons Attribution License (ODC-By 1.0)**. Weekly updates reflect ongoing usage patterns as Asta continues to evolve. We invite researchers, bibliometricians, and AI developers to explore citation dynamics across fields, assess how AI systems surface influential work, and help build a future where credit and accountability are integral to AI-assisted discovery.
+
+The most recent update to the data can always be retrieved using the 'latest' config:
+
+`dataset = load_dataset("allenai/asta-summary-citation-counts", "latest")`
+
+Older checkpoints can be retrieved by date. Eg:
+
+`dataset = load_dataset("allenai/asta-summary-citation-counts", "2025-10-07")`
+
+## Dataset Details
+- **Dataset name:** Asta Summary Citation Counts  
+- **Maintainer:** Allen Institute for AI (AI2)  
+- **License:** [ODC-By 1.0](https://opendatacommons.org/licenses/by/1-0/)  
+- **Update frequency:** Weekly  
+- **Source platform:** Asta (https://asta.ai)  
+- **Primary use cases:** bibliometrics, AI transparency, citation dynamics, evaluation of retrieval-augmented generation systems