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yongxin2020/llm-importance-distributions

LLM Information Importance in Summarization Viewer-friendly export mode: This dataset version uses compact preview fields (e.g., article_preview, dialogue_preview, word_importance_topk) to avoid Hugging Face viewer row-size limits. Dataset Description This dataset contains length-controlled summaries and empirical importance distributions generated by various Large Language Models (LLMs) for three summarization datasets. The data supports research on how LLMs… See the full description on the dataset page: https://huggingface.co/datasets/yongxin2020/llm-importance-distributions.

Author / organizationyongxin2020
License (as declared)cc-by-nc-4.0
Downloads246 (as reported by Hugging Face)
Likes1
Created31 January 2026
Last updated at source16 March 2026
llmattentioninformation-selectioninterpretability
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  • 17 Oct 2026 Description: LLM Information Importance in Summarization Viewer-friendly export mode: This dataset version uses compact preview fields (e.g., article_preview, dialogue_preview, word_importance_topk) to avoid Hugging Face viewer row-size limits. Dataset → LLM Information Importance in Summarization Viewer-friendly export mode: This dataset version uses compact preview fields (e.g., article_preview, dialogue_preview, word_importance_topk) to avoid Hugging Face viewer row-size limits. Dataset

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