five

deepresearchediting/rubrics_20260406_133426

收藏
Hugging Face2026-04-06 更新2026-04-12 收录
下载链接:
https://hf-mirror.com/datasets/deepresearchediting/rubrics_20260406_133426
下载链接
链接失效反馈
官方服务:
资源简介:
--- dataset_info: features: - name: instruction dtype: string - name: queries struct: - name: how to analyze and discuss scaling properties in model architectures dtype: string - name: how to structure a technical report effectively dtype: string - name: what are effective techniques for presenting computational analysis dtype: string - name: survey_queries struct: - name: survey papers on Efficient Attention Mechanisms arxiv OR biorxiv pdf dtype: string - name: survey papers on Model Dimension Trade-offs arxiv OR biorxiv pdf dtype: string - name: survey papers on Scaling Laws in Transformers arxiv OR biorxiv pdf dtype: string - name: search_results struct: - name: how to analyze and discuss scaling properties in model architectures struct: - name: all_web_results list: - name: content dtype: string - name: keep dtype: bool - name: link_instruction_rating dtype: int64 - name: link_rating dtype: int64 - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: url dtype: string - name: filtered_web_results list: - name: content dtype: string - name: keep dtype: bool - name: link_instruction_rating dtype: int64 - name: link_rating dtype: int64 - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: url dtype: string - name: selected_content_answers list: string - name: selected_web_content list: string - name: how to structure a technical report effectively struct: - name: all_web_results list: - name: content dtype: string - name: keep dtype: bool - name: link_instruction_rating dtype: int64 - name: link_rating dtype: int64 - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: url dtype: string - name: filtered_web_results list: - name: content dtype: string - name: keep dtype: bool - name: link_instruction_rating dtype: int64 - name: link_rating dtype: int64 - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: url dtype: string - name: selected_content_answers list: string - name: selected_web_content list: string - name: survey papers on Efficient Attention Mechanisms arxiv OR biorxiv pdf struct: - name: all_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: filtered_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: selected_content_answers list: string - name: selected_web_content list: string - name: survey papers on Model Dimension Trade-offs arxiv OR biorxiv pdf struct: - name: all_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: filtered_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: selected_content_answers list: string - name: selected_web_content list: string - name: survey papers on Scaling Laws in Transformers arxiv OR biorxiv pdf struct: - name: all_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: filtered_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: selected_content_answers list: string - name: selected_web_content list: string - name: what are effective techniques for presenting computational analysis struct: - name: all_web_results list: - name: content dtype: string - name: keep dtype: bool - name: link_instruction_rating dtype: int64 - name: link_rating dtype: int64 - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: url dtype: string - name: filtered_web_results list: - name: content dtype: string - name: keep dtype: bool - name: link_instruction_rating dtype: int64 - name: link_rating dtype: int64 - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: url dtype: string - name: selected_content_answers list: string - name: selected_web_content list: string - name: search_success dtype: bool - name: survey_results struct: - name: survey papers on Efficient Attention Mechanisms arxiv OR biorxiv pdf struct: - name: all_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: filtered_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: selected_content_answers list: string - name: selected_web_content list: string - name: survey papers on Model Dimension Trade-offs arxiv OR biorxiv pdf struct: - name: all_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: filtered_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: selected_content_answers list: string - name: selected_web_content list: string - name: survey papers on Scaling Laws in Transformers arxiv OR biorxiv pdf struct: - name: all_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: filtered_web_results list: - name: content dtype: string - name: is_pdf dtype: bool - name: name dtype: string - name: query_answer dtype: string - name: snippet dtype: string - name: tavily_raw_content dtype: string - name: url dtype: string - name: selected_content_answers list: string - name: selected_web_content list: string - name: query_responses struct: - name: how to analyze and discuss scaling properties in model architectures dtype: string - name: how to structure a technical report effectively dtype: string - name: survey papers on Efficient Attention Mechanisms arxiv OR biorxiv pdf dtype: string - name: survey papers on Model Dimension Trade-offs arxiv OR biorxiv pdf dtype: string - name: survey papers on Scaling Laws in Transformers arxiv OR biorxiv pdf dtype: string - name: ea_criteria dtype: string - name: raw_ea_criteria struct: - name: filter_raw_response struct: - name: '1' dtype: string - name: '10' dtype: string - name: '11' dtype: string - name: '12' dtype: string - name: '13' dtype: string - name: '14' dtype: string - name: '15' dtype: string - name: '2' dtype: string - name: '3' dtype: string - name: '4' dtype: string - name: '5' dtype: string - name: '6' dtype: string - name: '7' dtype: string - name: '8' dtype: string - name: '9' dtype: string - name: pre_filtering_criteria dtype: string - name: pre_rewriting_criteria dtype: string - name: llm_criteria dtype: string - name: ea_criteria_scored_raw list: string - name: ea_criteria_scored list: float64 - name: llm_criteria_scored_raw list: string - name: llm_criteria_scored list: float64 - name: ea_full_criteria dtype: string - name: merged_source_indicators list: string splits: - name: train num_bytes: 9979119 num_examples: 1 download_size: 10345442 dataset_size: 9979119 configs: - config_name: default data_files: - split: train path: data/train-* ---
提供机构:
deepresearchediting
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作