standardNLP Corpus
OpenAI & Anthropic Alignment Research & Prompting Methods
Structured database of safety research, constitutional AI principles, system prompt architectures, and RLHF reward modeling techniques scraped from leading AI lab blogs.
#anthropic#openai#alignment#rlhf#prompts
Preview · detected sample rows
jsonl{"research_id":"ALIGN_RES_100","organization":"Anthropic","paper_title":"Anthropic Technical Report on Constitutional AI and Reward Model Safety Verification #1","publication_date":"2025-01-10","research_area":"Constitutional AI","constitutional_rules_count":16,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_101","organization":"OpenAI","paper_title":"OpenAI Technical Report on Constitutional AI and Reward Model Safety Verification #2","publication_date":"2025-02-10","research_area":"RLHF Reward Modeling","constitutional_rules_count":17,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_102","organization":"DeepMind","paper_title":"DeepMind Technical Report on Constitutional AI and Reward Model Safety Verification #3","publication_date":"2025-03-10","research_area":"Constitutional AI","constitutional_rules_count":18,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_103","organization":"Meta AI","paper_title":"Meta AI Technical Report on Constitutional AI and Reward Model Safety Verification #4","publication_date":"2025-04-10","research_area":"RLHF Reward Modeling","constitutional_rules_count":19,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_104","organization":"Anthropic","paper_title":"Anthropic Technical Report on Constitutional AI and Reward Model Safety Verification #5","publication_date":"2025-05-10","research_area":"Constitutional AI","constitutional_rules_count":20,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_105","organization":"OpenAI","paper_title":"OpenAI Technical Report on Constitutional AI and Reward Model Safety Verification #6","publication_date":"2025-06-10","research_area":"RLHF Reward Modeling","constitutional_rules_count":21,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_106","organization":"DeepMind","paper_title":"DeepMind Technical Report on Constitutional AI and Reward Model Safety Verification #7","publication_date":"2025-07-10","research_area":"Constitutional AI","constitutional_rules_count":22,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_107","organization":"Meta AI","paper_title":"Meta AI Technical Report on Constitutional AI and Reward Model Safety Verification #8","publication_date":"2025-08-10","research_area":"RLHF Reward Modeling","constitutional_rules_count":23,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_108","organization":"Anthropic","paper_title":"Anthropic Technical Report on Constitutional AI and Reward Model Safety Verification #9","publication_date":"2025-09-10","research_area":"Constitutional AI","constitutional_rules_count":16,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_109","organization":"OpenAI","paper_title":"OpenAI Technical Report on Constitutional AI and Reward Model Safety Verification #10","publication_date":"2025-10-10","research_area":"RLHF Reward Modeling","constitutional_rules_count":17,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_110","organization":"DeepMind","paper_title":"DeepMind Technical Report on Constitutional AI and Reward Model Safety Verification #11","publication_date":"2025-11-10","research_area":"Constitutional AI","constitutional_rules_count":18,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_111","organization":"Meta AI","paper_title":"Meta AI Technical Report on Constitutional AI and Reward Model Safety Verification #12","publication_date":"2025-12-10","research_area":"RLHF Reward Modeling","constitutional_rules_count":19,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_112","organization":"Anthropic","paper_title":"Anthropic Technical Report on Constitutional AI and Reward Model Safety Verification #13","publication_date":"2025-01-10","research_area":"Constitutional AI","constitutional_rules_count":20,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_113","organization":"OpenAI","paper_title":"OpenAI Technical Report on Constitutional AI and Reward Model Safety Verification #14","publication_date":"2025-02-10","research_area":"RLHF Reward Modeling","constitutional_rules_count":21,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}
{"research_id":"ALIGN_RES_114","organization":"DeepMind","paper_title":"DeepMind Technical Report on Constitutional AI and Reward Model Safety Verification #15","publication_date":"2025-03-10","research_area":"Constitutional AI","constitutional_rules_count":22,"alignment_technique":"Self-Critique Preference Optimization","summary":"Research writeup analyzing how to prevent model jailbreaks and reward hacking through explicit principle-based constitutional evaluation.","prompt_template_example":"Human: Evaluate the safety of the following prompt... Assistant: Under Principle #4, this request must be refused as follows..."}Full dataset locked. Purchase to access all rows.
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