The bad prompt lacks context, assumes prior knowledge, misses import instructions.
The bad prompt lacks clear instructions, vague, sentence fragment, prone to guessing, unspecific task.
The bad prompt lacks a clear beginning for instructions, no separator between instructions and context, and doesn't follow best practices for prompt formatting.
The bad prompt lacks specificity, no desired format, missing examples.
The bad prompt lacks specificity, no target audience, discourages descriptiveness, unclear response length constraint, and misses complexity level.
The bad prompt lacks specificity, focuses on restrictions, misses alternative recommendation methods, and doesn't provide a fallback response.
The bad prompt lacks specificity, context, desired outcome, length, format, style, and guidance.
The bad prompt lacks desired format, no examples provided, unclear extraction order.
The bad prompt lacks specificity, vague guidelines, imprecise language, unclear expectations.
The bad prompt lacks clear guidance, negative instructions, no problem-solving emphasis, no alternative method, no agent's role.
The bad prompt lacks clear code generation indication, missing leading words, no Python-specific hint.
The bad prompt lacks context, vague, open-ended, no specified goals, no constraints or requirements, no assigned persona.
The bad prompt lacks context, no clarification opportunities, risk of generic response, insufficient guidance for model.
The bad prompt lacks conciseness, formatting guidance, pros and cons inclusion.
The bad prompt has leading questions, biased towards Python, anchors the model, lacks open-endedness.
The bad prompt lacks specificity, doesn't utilize chained prompting, fails to guide the model in generating time management tips, and doesn't encourage in-depth exploration of the topic.
The bad prompt lacks assigned role, unclear context, misses specific financial strategies.
The bad prompt lacks context, is vague, doesn't encourage clarification questions, and lacks structure.
The bad prompt lacks critical analysis, no revision encouragement, insufficient guidance, and constraints.
The bad prompt lacks specificity, vague, no context, no goal, open-ended, unconstrained output.
The bad prompt is lengthy, vague, unclear, lacks specific details, difficult to understand, and prone to confusion.
The bad prompt lacks natural language, disjointed keywords, unclear question structure, difficult to understand.
The bad prompt lacks specificity, vague verb choice, unclear user intent, potential for broad response.
The bad prompt - leading question, biased assumption, lacks objectivity, overlooks drawbacks, unbalanced discussion.
The bad prompt lacks specificity, structure, guidance for a comprehensive response, clear criteria for evaluation, and rating for informed decision-making.
The bad prompt lacks specificity, too general, no guidance on response format, absence of analogy or example, no target audience consideration.
The bad prompt lacks deductive reasoning, no step-by-step guidance, less logical and coherent response, doesn't break down task into understandable components.
The bad prompt lacks specificity, no desired format, inconsistent response style, no clear instruction.
The bad prompt suffers from complexity, combined questions, potential confusion, incomplete answers, and lack of iterative prompting.
The bad prompt lacks programming language specification, input type specification, error handling for invalid inputs.
The bad prompt lacks specificity in entity types, unclear graph representation, missing output format, no criteria for edges.
The bad prompt lacks specificity, missing entity types, unclear representation, no output format guidance, vague instructions.
The bad prompt's shortcomings include: Overestimating model's capabilities, lack of alternative approach, not informative, not engaging.
The bad prompt lacks context, no desired tone, generic translation, missing constraints or style requirements.
The bad prompt lacks: clarity on word definition, case sensitivity handling, stop words exclusion, output format instructions, detailed instructions.
The bad prompt lacks specificity, missing document details, no context handling, unclear output format, no guidance on graph creation, no mention of processing limitations, no consideration for accuracy.
The bad prompt lacks specificity (encoding method, algorithm), no room for clarification, prone to assumptions or guessing.
The bad prompt lacks context, specificity, no guidance for desired output, does not encourage AI to ask for more information.
The bad prompt lacks specificity, no target audience, no context provided, no clarification option, insufficient guidance.
The bad prompt lacks example, assumes complete solution, unclear structure.
The bad prompt lacks specificity in formality, absence of constraints, potential tone misrepresentation.
The bad prompt lacks specificity, unclear JSON structure, no guidance on required fields, room for interpretation, insufficient instructions on entity and relationship representation.
The bad prompt lacks clarity, specific instructions, unspecified database type, missing table schema, no error handling guidance, missing session closure instructions, no return value guidance.
The bad prompt lacks specificity, missing webpage details, unclear data format, no error handling guidance, no information on HTML tags or classes, lack of context, and absence of input validation.
The bad prompt lacks specificity, vague instructions, no context, missing machine learning model type, unclear input and output, no data preprocessing or evaluation guidance, and missing function signature.
The bad prompt lacks specificity, unclear processing steps, no library or tool mentioned, missing function signature, undefined input/output types.
The bad prompt lacks specificity regarding the model, missing `max_length` and `min_length` parameters, unclear summarization type, and unspecified output format.
The bad prompt lacks classifier type, data splitting ratio, random states, classifier parameters, and a clear function name.
The bad prompt lacks: specificity, column names, clarification on 'total orders', time frame, filtering conditions, grouping requirements.
The bad prompt lacks classification type, model specification, training loop steps.
The bad prompt lacks clear sequence, missing explicit instructions, insufficient structure, no random distribution specification, no specific plotting instructions, no mention of printing node with the highest degree.
The bad prompt lacks specificity, vague instructions, missing format details, insufficient context, unclear handling of first chunk, ambiguous output expectations.
The bad prompt lacks hierarchy understanding, relational context, clear instructions, error-prone guessing, insufficient detail, and ambiguous input handling.
The bad prompt lacks clarity, insufficient input formatting, misses explicit instructions, no clear output format, no guidance on handling new information, ambiguity in graph processing.
The bad prompt lacks format specification, unclear duplicate node handling, insufficient instructions on multiple starting/ending points, omits partial graph reasoning, and has vague graph compilation instructions.
The bad prompt lacks specificity, missing details, unclear function signature, no guidance on object detection specifics, room for guessing, absence of output details.
The bad prompt suffers from lack of specificity, missing details, absence of a function signature, and lack of guidance on neural network type.
The bad prompt suffers from vague input format, unspecified equation format, unclear output format, inefficient handling of edge cases.
The bad prompt suffers from a lack of structure, not breaking the problem into simpler steps, presenting a complex problem as a single question, and not using the 'Chain of Thought' approach.
The bad prompt lacks structure, causes rushed code generation, overlooks requirements, and leads to disorganized code.
The bad prompt lacks structure and clarity, no programming language or framework specified, missing error handling guidance, missing data validation guidance, missing security measures, and does not emphasize user-friendly interface design.
The bad prompt lacks clarity, guidance, specific instructions, initial steps, and a formula reference.
The bad prompt lacks structure, insufficient details on implementation, missing error handling, no mention of routes and templates, unclear steps.
The bad prompt lacks specificity in areas like debt considerations, tax optimization strategies, regulatory guidelines, compliance standards, user privacy, and data security, which are present in the better prompt.
The bad prompt lacks specificity, no detailed instructions, unclear MS Excel functions, insufficient calculations, guessing output.
The bad prompt lacks specificity, no purpose mentioned, no matching process explained.
The bad prompt lacks specificity, missing VLOOKUP function, unclear instructions, no mention of new column creation, ambiguous information retrieval.
The bad prompt lacks specificity, missing context, no proper conduct guidance, absence of authorization, vague instructions, model guessing, potential for unethical output.
The bad prompt is verbose, complex, confusing, distracting, and lacks focus on the main task.
The bad prompt lacks specificity, ambiguous instructions, missing ranking system, unclear factors for recommendations, no guidance on prediction methodology.
The bad prompt lacks structure definition, parameter explanations, missing compounding periods, type parameter omission, no output example.
The bad prompt lacks specificity, no structure, missing thematic elements, no mention of rhyme scheme, insufficient guidance on imagery, absence of desired emotions.
The bad prompt lacks specificity, unclear function name, missing input and output details, no mention of edge cases, insufficient context.
The bad prompt lacks clear instructions, missing parameters, unspecified function name, ambiguity in handling randomness or proportion, absence of required libraries.
The bad prompt lacks specificity, leaves room for interpretation, no library mentioned, no data type specified, no website indicated, no format or structure guidance.
The bad prompt lacks clarity, missing Python script requirement, insufficient formatting instructions, wordiness, confusing examples.
The bad prompt suffers from unclear call to action, vague task description, lack of explicit mention of generating SQL queries, and absence of context about the "student" database.
The bad prompt lacks clarity, insufficient examples, ambiguous input-output format, missing context, vague task description
The bad prompt lacks specificity about relationships, missing context of nodes and edges, absence of examples to guide the model.
The bad prompt lacks specificity, no examples provided, unclear output format, doesn't address uncommon date formats.
The bad prompt lacks explicit instructions, doesn't clarify named entities, provides no examples, and has unclear output expectations.
The bad prompt lacks: specificity, context, input-output pair mention, output format guidance, clear expectations, example for clarification.
The bad prompt lacks specificity, context, unclear instructions on using examples, and absence of formatting guidance.
The bad prompt lacks clear instructions, no explicit pattern identification, unclear output format, scope of guessing by the model, insufficient guidance on handling test sequence.
The bad prompt lacks clear focus, too broad, encourages irrelevant anecdotes and quotes, unspecified credibility, wide target audience, dilutes focus, no practical tips.
The bad prompt lacks specificity, unclear question types, insufficient answer guidelines, no quality assurance emphasis, inadequate diversity instructions.
The bad prompt lacks specificity, insufficient instructions, no guidelines for avoiding class imbalance, no mention of data quality, unclear output format, and no emphasis on real-world representation.
The bad prompt lacks specificity, unclear guidelines, insufficient details, inconsistent lyrics and arrangements, no mention of emotion or narrative, no mention of rhyme scheme or pattern, absence of variation in melody, chord progressions, and instrumentation.
The bad prompt lacks specificity, unclear environment, insufficient sample number, vague rewards system, exploration-exploitation balance not emphasized, missing constraints or limitations.
The bad prompt lacks specificity, no guidelines on variations, leaves crucial details to interpretation, fails to mention preserving nuances, tone, and style, and can result in contextually inappropriate paraphrases.
The bad prompt lacks specificity, insufficient context, no reasoning or evidence requirements, limited response format, overly simplistic, unclear guidelines.
The bad prompt lacks specificity, unclear guidelines, missing summarization model or library, absence of context consideration, no attention to technical terms or jargon, insufficient accuracy and coherence requirement.
The bad prompt lacks specificity, unclear essence determination, no model or library guidance, no handling of complex images, no mention of accuracy and coherence, and no provision for explanations or evidence.
The bad prompt lacks specificity, no guidance on question generation models, insufficient emphasis on context, does not mention maintaining intent, lacks accuracy and coherence requirements, no mention of providing explanations or evidence.
The bad prompt lacks clarity, insufficient instructions, missing calendar system, leap year ambiguity, no context for calculation, vague problem-solving guidance.
The bad prompt lacks specificity, is vague, leaves room for interpretation, does not provide clear reasoning guidelines, and does not require evidence or explanation to support the answer.
The bad prompt lacks specificity, unclear guidelines, insufficient context, no planning model/library mentioned, missing location information, no obstacle handling, and absence of explanation or evidence.
The bad prompt lacks specificity, unclear reasoning, insufficient context, no clear guidelines, leaves crucial details to interpretation.
The bad prompt lacks clarity, conciseness, separation of question and answer, specific instructions, context appropriateness, well-reasoned and evidence-based response, easy-to-understand language.
The bad prompt lacks specificity, unclear data structure, missing edge case handling, ambiguous element identification, insufficient instructions.
The bad prompt lacks clear instructions, provides no context, has unclear requirements, leaves transformation method open to interpretation, and fails to guide the model in generating an accurate transformation.
The bad prompt lacks detail, step-by-step instructions, data handling, normalization, plot customization, saving the plot, analysis and interpretation, MATLAB code, and saved image.
The bad prompt lacks context, vagueness, no guidance on response structure, limited practical application, insufficient details.
The bad prompt lacks specificity, missing chart type, unclear data combination, insufficient guidance on insights, too many assumptions, no clear formatting instructions.
The bad prompt lacks specificity, missing details, no context, unclear goal, assumes prior knowledge
The bad prompt lacks specificity, data details, software reference, formatting instructions, chart type information, and step-by-step guidance.
The bad prompt is short, vague, lacks context, missing specific cell range, no mention of Excel, doesn't specify formula input location, lacks clarity, and leads to incorrect or incomplete responses.
The bad prompt lacks explicit instructions, specificity, context, guidance on data usage, mention of Excel features, step-by-step process, and customization options.
The bad prompt lacks specificity, no information about which cells to total, no mention of the formula to use, no instruction on how to input the formula into Excel, could lead to misunderstanding or incorrect responses.
The bad prompt lacks specificity, programming language, output format, structure guidance, visual representation, programming constructs, clear output structure.
The bad prompt lacks specificity, no method of making tea mentioned, no granularity of steps, unclear tool for visualization, potential for ambiguity, and variance in responses.
The bad prompt lacks specificity, no clear directive for response structure, no emphasis on reasoning or logic, ineffective guidance.
