prompt listlengths 1 1 | original_prompt large_stringlengths 2.06k 18.6k | data_source large_stringclasses 3
values | reward_model dict | extra_info dict | uid large_stringlengths 32 34 |
|---|---|---|---|---|---|
[
{
"content": "You are a researcher conducting a literature review on: \"new finetuning strategies for enhancing out-of-distribution detection in image classification tasks using contrastive learning\"\n\nYou have access to three types of search queries for the Semantic Scholar API:\n- KeywordQuery(\"keyword\"):... | You are a researcher conducting a literature review on: "new finetuning strategies for enhancing out-of-distribution detection in image classification tasks using contrastive learning"
You have access to three types of search queries for the Semantic Scholar API:
- KeywordQuery("keyword"): Find papers matching keyword... | ai_researcher_search_query | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 4,
"question_type": "search_query",
"topic": "new finetuning strategies for enhancing out-of-distribution detection in image classification tasks using contrastive learning"
} | 69d3d532d5ae46afe6de186ef5755075 |
[
{
"content": "You are a researcher conducting a literature review on: \"novel approaches for privacy-preserving model updates in distributed systems by employing zero-knowledge proofs to verify contribution validity\"\n\nYou have access to three types of search queries for the Semantic Scholar API:\n- KeywordQu... | You are a researcher conducting a literature review on: "novel approaches for privacy-preserving model updates in distributed systems by employing zero-knowledge proofs to verify contribution validity"
You have access to three types of search queries for the Semantic Scholar API:
- KeywordQuery("keyword"): Find papers... | ai_researcher_search_query | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 2,
"question_type": "search_query",
"topic": "novel approaches for privacy-preserving model updates in distributed systems by employing zero-knowledge proofs to verify contribution validity"
} | 683af09706f4bc421a7f57ca04d88f52 |
[
{
"content": "Draft a detailed research proposal based on the following seed idea in the area of \"novel techniques for event-based spatiotemporal data analysis using persistent homology to capture dynamic topological features\":\n\nIdea: Adaptive Filtration-Aware Neural Networks\nProblem: Integrating the rich ... | Draft a detailed research proposal based on the following seed idea in the area of "novel techniques for event-based spatiotemporal data analysis using persistent homology to capture dynamic topological features":
Idea: Adaptive Filtration-Aware Neural Networks
Problem: Integrating the rich characterization of spatiot... | ai_researcher_proposal | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 5,
"question_type": "proposal_writing",
"topic": "novel techniques for event-based spatiotemporal data analysis using persistent homology to capture dynamic topological features"
} | 81578b721d411e3d3677be4c39bcbee4 |
[
{
"content": "You are on a review panel evaluating research proposals in the area of \"novel prompting techniques to advance task decomposition in AI planning systems by using hierarchical task description prompts\". After reviewing the recent literature below, draft a strong proposal that you believe would be ... | You are on a review panel evaluating research proposals in the area of "novel prompting techniques to advance task decomposition in AI planning systems by using hierarchical task description prompts". After reviewing the recent literature below, draft a strong proposal that you believe would be funded:
1. "BT-D2: A Hi... | ai_researcher_idea_gen | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 5,
"question_type": "idea_generation",
"topic": "novel prompting techniques to advance task decomposition in AI planning systems by using hierarchical task description prompts"
} | b9f7342f4ff4b251226140543adf62cd |
[
{
"content": "You are building a comprehensive reading list on: \"novel prompting strategies for improving natural language query translation to SQL by utilizing context-aware semantic prompts\"\n\nThe Semantic Scholar API supports these query types:\n- KeywordQuery(\"keyword\"): Search by keywords\n- PaperQuer... | You are building a comprehensive reading list on: "novel prompting strategies for improving natural language query translation to SQL by utilizing context-aware semantic prompts"
The Semantic Scholar API supports these query types:
- KeywordQuery("keyword"): Search by keywords
- PaperQuery("paperId"): Find similar pap... | ai_researcher_search_query | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 2,
"question_type": "search_query",
"topic": "novel prompting strategies for improving natural language query translation to SQL by utilizing context-aware semantic prompts"
} | ade1a970ec9ef197620221ba03d8c9cc |
[
{
"content": "Imagine you are a research advisor helping a PhD student find a promising new direction. The student is interested in \"novel finetuning approaches for optimizing model performance on noisy datasets using robustness-aware training objectives\". Here is a sample of recent work in the area:\n\n1. \"... | Imagine you are a research advisor helping a PhD student find a promising new direction. The student is interested in "novel finetuning approaches for optimizing model performance on noisy datasets using robustness-aware training objectives". Here is a sample of recent work in the area:
1. "QLoRA: Efficient Finetuning... | ai_researcher_idea_gen | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 5,
"question_type": "idea_generation",
"topic": "novel finetuning approaches for optimizing model performance on noisy datasets using robustness-aware training objectives"
} | b12aaa9ed21d90a97cd2c897037adfdf |
[
{
"content": "You are building a comprehensive reading list on: \"novel finetuning approaches for enhancing model performance in causal inference tasks using structured data embeddings\"\n\nThe Semantic Scholar API supports these query types:\n- KeywordQuery(\"keyword\"): Search by keywords\n- PaperQuery(\"pape... | You are building a comprehensive reading list on: "novel finetuning approaches for enhancing model performance in causal inference tasks using structured data embeddings"
The Semantic Scholar API supports these query types:
- KeywordQuery("keyword"): Search by keywords
- PaperQuery("paperId"): Find similar papers
- Ge... | ai_researcher_search_query | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 2,
"question_type": "search_query",
"topic": "novel finetuning approaches for enhancing model performance in causal inference tasks using structured data embeddings"
} | 591688359ec8866cc13c93a4b4e66c3b |
[
{
"content": "You are conducting a systematic literature review on \"novel finetuning strategies for enhancing the robustness of language models to adversarial logical puzzles\" and want to ensure broad coverage.\n\nAvailable query types:\n- KeywordQuery(\"keyword\")\n- PaperQuery(\"paperId\")\n- GetReferences(... | You are conducting a systematic literature review on "novel finetuning strategies for enhancing the robustness of language models to adversarial logical puzzles" and want to ensure broad coverage.
Available query types:
- KeywordQuery("keyword")
- PaperQuery("paperId")
- GetReferences("paperId")
Your current paper co... | ai_researcher_search_query | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 2,
"question_type": "search_query",
"topic": "novel finetuning strategies for enhancing the robustness of language models to adversarial logical puzzles"
} | debd41baff9c0b2081208d9b049cb8b1 |
[
{
"content": "Imagine you are a research advisor helping a PhD student find a promising new direction. The student is interested in \"novel prompting strategies to improve heterogeneous graph learning by incorporating cross-type relational prompts\". Here is a sample of recent work in the area:\n\n1. \"Incorpor... | Imagine you are a research advisor helping a PhD student find a promising new direction. The student is interested in "novel prompting strategies to improve heterogeneous graph learning by incorporating cross-type relational prompts". Here is a sample of recent work in the area:
1. "Incorporating Attributes and Multi-... | ai_researcher_idea_gen | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 5,
"question_type": "idea_generation",
"topic": "novel prompting strategies to improve heterogeneous graph learning by incorporating cross-type relational prompts"
} | 947005760b0f733865f70215d783f345 |
[
{
"content": "You are conducting a systematic literature review on \"novel prompting techniques for integrating situational context in NLP tasks using event-driven prompt adjustments\" and want to ensure broad coverage.\n\nAvailable query types:\n- KeywordQuery(\"keyword\")\n- PaperQuery(\"paperId\")\n- GetRefe... | You are conducting a systematic literature review on "novel prompting techniques for integrating situational context in NLP tasks using event-driven prompt adjustments" and want to ensure broad coverage.
Available query types:
- KeywordQuery("keyword")
- PaperQuery("paperId")
- GetReferences("paperId")
Your current p... | ai_researcher_search_query | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 3,
"question_type": "search_query",
"topic": "novel prompting techniques for integrating situational context in NLP tasks using event-driven prompt adjustments"
} | 7d2dfa2c1650e2476e624231fbacc16a |
[
{
"content": "You are an expert AI researcher. Below are recent papers related to the topic of \"novel approaches for probabilistic forecasting in financial time series using deep Bayesian networks to capture market volatilities\":\n\n1. \"Bayesian Deep Learning for Uncertainty Quantification in Financial Stres... | You are an expert AI researcher. Below are recent papers related to the topic of "novel approaches for probabilistic forecasting in financial time series using deep Bayesian networks to capture market volatilities":
1. "Bayesian Deep Learning for Uncertainty Quantification in Financial Stress Testing and Risk Forecast... | ai_researcher_idea_gen | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 5,
"question_type": "idea_generation",
"topic": "novel approaches for probabilistic forecasting in financial time series using deep Bayesian networks to capture market volatilities"
} | 473262a31a692ed53610197342aaf838 |
[
{
"content": "You are an expert AI researcher. Expand the following brief research idea into a complete project proposal with detailed experiment plans that a student could follow to execute the full project.\n\nTopic: new prompting strategies to improve test-time adaptation in conversational AI by leveraging d... | You are an expert AI researcher. Expand the following brief research idea into a complete project proposal with detailed experiment plans that a student could follow to execute the full project.
Topic: new prompting strategies to improve test-time adaptation in conversational AI by leveraging dynamic prompt adjustment... | ai_researcher_proposal | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 5,
"question_type": "proposal_writing",
"topic": "new prompting strategies to improve test-time adaptation in conversational AI by leveraging dynamic prompt adjustments"
} | ccafb42797fa6c213d9c2515c7133dc6 |
[
{
"content": "You are building a comprehensive reading list on: \"new methods for open-set recognition in audio classification by designing self-supervised learning frameworks\"\n\nThe Semantic Scholar API supports these query types:\n- KeywordQuery(\"keyword\"): Search by keywords\n- PaperQuery(\"paperId\"): F... | You are building a comprehensive reading list on: "new methods for open-set recognition in audio classification by designing self-supervised learning frameworks"
The Semantic Scholar API supports these query types:
- KeywordQuery("keyword"): Search by keywords
- PaperQuery("paperId"): Find similar papers
- GetReferenc... | ai_researcher_search_query | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 3,
"question_type": "search_query",
"topic": "new methods for open-set recognition in audio classification by designing self-supervised learning frameworks"
} | fd5d029f57ff15bc2fc9aa0b1c7e157d |
[
{
"content": "Draft a detailed research proposal based on the following seed idea in the area of \"novel methods for generating refactoring suggestions in complex software systems using graph representation learning\":\n\nIdea: Hierarchical Graph Neural Networks for Multi-Level Refactoring Suggestions\nProblem:... | Draft a detailed research proposal based on the following seed idea in the area of "novel methods for generating refactoring suggestions in complex software systems using graph representation learning":
Idea: Hierarchical Graph Neural Networks for Multi-Level Refactoring Suggestions
Problem: In complex software system... | ai_researcher_proposal | {
"ground_truth": "",
"style": "rule"
} | {
"papers_included": 5,
"question_type": "proposal_writing",
"topic": "novel methods for generating refactoring suggestions in complex software systems using graph representation learning"
} | 5fce704e715055ba94ff0ba0736e8fae |
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