taesiri/ArXivSignals-DeepSummaries
ArXivSignals DeepSummaries — Agent-Built Visual Paper Explainers A continuously-updated, day-partitioned dataset of deep, visual summaries of arXiv papers, each built by a coding agent working inside the paper's own LaTeX source: the agent reads the full text, authors an editorial narrative as a structured content spec, and the paper's real figures and tables (extracted and rendered from the LaTeX, web-optimized) ride along as an embedded, variable-length image array. The… See the full description on the dataset page: https://huggingface.co/datasets/taesiri/ArXivSignals-DeepSummaries.
| Author / organization | taesiri |
|---|---|
| License (as declared) | other |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 7 |
| Created | 10 July 2026 |
| Last updated at source | 16 October 2026 |
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