instruction string | queries dict | survey_queries dict | search_results dict | search_success bool | survey_results dict | query_responses dict | ea_criteria string | raw_ea_criteria dict | llm_criteria string | ea_criteria_scored_raw list | ea_criteria_scored list | llm_criteria_scored_raw list | llm_criteria_scored list | ea_full_criteria string | merged_source_indicators list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
"Generate a comprehensive technical report analyzing the computational scaling properties of pretrai(...TRUNCATED) | {"how to analyze and discuss scaling properties in model architectures":"Understand how to assess an(...TRUNCATED) | {"survey papers on Efficient Attention Mechanisms arxiv OR biorxiv pdf":"Research on optimizing self(...TRUNCATED) | {"how to analyze and discuss scaling properties in model architectures":{"all_web_results":[{"conten(...TRUNCATED) | true | {"survey papers on Efficient Attention Mechanisms arxiv OR biorxiv pdf":{"all_web_results":[{"conten(...TRUNCATED) | {"how to analyze and discuss scaling properties in model architectures":"To analyze and discuss scal(...TRUNCATED) | "1.The response should provide a comprehensive technical report analyzing the computational scaling (...TRUNCATED) | {"filter_raw_response":{"1":"The response should provide a comprehensive technical report, which sho(...TRUNCATED) | "1. The response should generate a comprehensive technical report.\n2. The response should analyze t(...TRUNCATED) | ["To evaluate the relevance of the provided aspect to the given instruction, we need to break down t(...TRUNCATED) | [
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