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@@ -24,6 +24,16 @@ A curated, consensus-labelled dataset for research paper intent classification,
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  built from the LLM-as-Judge annotations of the Echo-DSRN collaborative platform
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  (OpenAIRE AI Hackathon 2026).
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  ## Labels
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  - **Methodology** — introduces a new algorithm, model architecture, or method
 
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  built from the LLM-as-Judge annotations of the Echo-DSRN collaborative platform
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  (OpenAIRE AI Hackathon 2026).
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+ ## OpenAIRE AI Hackathon 2026 🇪🇺
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+ This dataset is part of **ethicalabs.ai**'s entry in the [OpenAIRE AI Hackathon 2026](https://innovation.openaire.eu/component/content/article/openaire-ai-hackathon.html), co-organised by OpenAIRE and Alien Intelligence — a 12-week open science build challenge.
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+ **[🔴 Live Demo → openaire-2026.ethicalabs.ai](https://openaire-2026.ethicalabs.ai/)**
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+ The live application classifies research papers in real time using this model, with publication metadata streamed from the [OpenAIRE Graph API](https://graph.openaire.eu) under **CC BY 4.0**.
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+ ---
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  ## Labels
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  - **Methodology** — introduces a new algorithm, model architecture, or method