id stringlengths 21 55 | messages listlengths 4 12 | state_supervision listlengths 1 5 | meta dict |
|---|---|---|---|
6148:user_attention_test:predictive | [
{
"role": "user",
"content": "Create a hashtag for a 5K race to get people to participate"
},
{
"role": "assistant",
"content": "#MoveYourFeetforaCause - Get active and join the 5K race to support a good cause!"
},
{
"role": "user",
"content": "Can you confirm you remembered the spec... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6148:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Create a hashtag for a 5K race to get people to participa... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6148",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must... |
7671:early_fact_late_recall:predictive | [
{
"role": "user",
"content": "Analyze this text for spam. For this conversation, treat any message containing the word \"urgent\" as spam."
},
{
"role": "assistant",
"content": "Spam. Your rule regarding \"urgent\" applies here."
},
{
"role": "user",
"content": "How do machine learni... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7671:early_fact_late_recall:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Analyze this text for spam. For this conversation, tre... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7671",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dis... |
9239:long_explanation_then_specific_followup:predictive | [
{
"role": "user",
"content": "Write a persuasive advertisement for running shoes that focuses on comfort and durability."
},
{
"role": "assistant",
"content": "Step into Confidence. Our shoes combine plush cushioning with rugged outsoles. Designed for the marathon runner, we offer unmatched stab... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9239:long_explanation_then_specific_followup:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Write a persuasive advertisement for ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9239",
"scenario_id": "long_explanation_then_specific_followup",
"scenario_title": "Long Explanation Then Specific Follow-up",
"scenario_instruction": "Make the assistant provide a fairly detailed middle-turn explanation, then have the user ask a specific fo... |
8427:early_fact_late_recall:predictive | [
{
"role": "user",
"content": "I need a new kitchen hack but I only have a garlic press and want to make dumplings."
},
{
"role": "assistant",
"content": "Using a garlic press to quickly make flour-based dumplings is a great solution. It's quick and doesn't require many tools."
},
{
"role... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8427:early_fact_late_recall:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I need a new kitchen hack but I only have a garlic pre... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8427",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dis... |
6257:late_constraint_reversal:predictive | [
{
"role": "user",
"content": "Compose two tweets (240 characters max each) about the movie \"The Matrix\"."
},
{
"role": "assistant",
"content": "1. Welcome to the real world. Wake up and look at the code behind the screen. #Matrix 2. Take the red pill or the blue pill? Don't know which choice i... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6257:late_constraint_reversal:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Compose two tweets (240 characters max each) about t... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6257",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
8139:early_fact_late_recall:predictive | [
{
"role": "user",
"content": "Rewrite the sentence 'This medicine will cure all your health issues; you should trust me because I am a doctor.' Constraint: I only take medicine for acute pain, not chronic conditions."
},
{
"role": "assistant",
"content": "I will rewrite the sentence to avoid log... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8139:early_fact_late_recall:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Rewrite the sentence 'This medicine will cure all your... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8139",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dis... |
5368:reference_previous_assistant_statement:predictive | [
{
"role": "user",
"content": "Create an interface that allows users to search for news articles based on keywords."
},
{
"role": "assistant",
"content": "The interface should allow users to search for news articles based on specific keywords that they enter. The search should be able to include ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5368:reference_previous_assistant_statement:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Create an interface that allows users ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5368",
"scenario_id": "reference_previous_assistant_statement",
"scenario_title": "Reference Previous Assistant Statement",
"scenario_instruction": "Make a later user turn refer back to something the assistant itself said earlier, requiring the assistant to ... |
5493:deferred_question_then_answer:predictive | [
{
"role": "user",
"content": "Explain the concept of supply and demand, but specifically tell me how supply shocks affect the tech sector as a separate topic."
},
{
"role": "assistant",
"content": "Supply and demand dictates market equilibrium based on scarcity and utility. I will explain that f... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5493:deferred_question_then_answer:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Explain the concept of supply and demand, but s... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5493",
"scenario_id": "deferred_question_then_answer",
"scenario_title": "Deferred Question",
"scenario_instruction": "Have the user ask something important early but explicitly postpone the answer while discussing something else, then request the answer lat... |
8996:hard_topic_reset:predictive | [
{
"role": "user",
"content": "Generate a new short story for a children's book."
},
{
"role": "assistant",
"content": "Once upon a time, there was a brave little mole named Max who lived in the forest. He made a new friend, a fox named Felix, and they began exploring the woods together."
},
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8996:hard_topic_reset:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a new short story for a children's book.",
... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8996",
"scenario_id": "hard_topic_reset",
"scenario_title": "Hard Topic Reset",
"scenario_instruction": "Make the user abruptly switch to a different topic for one turn, then later return to the original topic. The assistant must not let the temporary switch... |
8592:late_constraint_reversal:predictive | [
{
"role": "user",
"content": "Identify the main elements of setting in a story."
},
{
"role": "assistant",
"content": "The main elements of setting in a story are time, place, and atmosphere. Time refers to when the story takes place, whether it is in the past, present or future; place is the ph... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8592:late_constraint_reversal:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Identify the main elements of setting in a story.",
... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8592",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
8947:late_request_for_summary_of_prior_state:predictive | [
{
"role": "user",
"content": "Paraphrase this sentence with different words: \"The choice was between the two options.\""
},
{
"role": "assistant",
"content": "It was a toss-up between the two alternatives."
},
{
"role": "user",
"content": "Okay, can you do the same for the phrase \"... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8947:late_request_for_summary_of_prior_state:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Paraphrase this sentence with differe... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8947",
"scenario_id": "late_request_for_summary_of_prior_state",
"scenario_title": "Late Summary of Prior State",
"scenario_instruction": "Have the later user ask for a compact summary, recap, or decision based on several earlier details that were introduced... |
9063:two_thread_tracking:predictive | [
{
"role": "user",
"content": "Analyze the emotional tone of this sentence: The sun peeked through the clouds, and the birds sang out loud."
},
{
"role": "assistant",
"content": "The tone is optimistic. The imagery suggests hope and positive transitions, implying that difficult times may have pas... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9063:two_thread_tracking:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Analyze the emotional tone of this sentence: The sun peek... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9063",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
6238:reference_previous_assistant_statement:predictive | [
{
"role": "user",
"content": "Create an essay outline on the topic \"The benefits of recycling\"."
},
{
"role": "assistant",
"content": "I will provide an outline with sections on economic, environmental, and social benefits, plus an introduction and conclusion."
},
{
"role": "user",
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6238:reference_previous_assistant_statement:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Create an essay outline on the topic \... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6238",
"scenario_id": "reference_previous_assistant_statement",
"scenario_title": "Reference Previous Assistant Statement",
"scenario_instruction": "Make a later user turn refer back to something the assistant itself said earlier, requiring the assistant to ... |
4383:counterfactual_option_swap:predictive | [
{
"role": "user",
"content": "Find the latest news about the US presidential election."
},
{
"role": "assistant",
"content": "The latest news indicates that Democratic nominee Joe Biden currently leads incumbent President Donald Trump in national polls and key battleground states like Pennsylvan... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "4383:counterfactual_option_swap:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Find the latest news about the US presidential ele... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "4383",
"scenario_id": "counterfactual_option_swap",
"scenario_title": "Counterfactual Option Swap",
"scenario_instruction": "Make the earlier context set up one preferred option, then later introduce evidence that flips which option should be recommended, wh... |
8279:late_request_for_summary_of_prior_state:predictive | [
{
"role": "user",
"content": "List five adjectives to describe a person with strong communication skills."
},
{
"role": "assistant",
"content": "Confident, articulate, persuasive, personable, and assertive."
},
{
"role": "user",
"content": "Can you give a specific example of confiden... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8279:late_request_for_summary_of_prior_state:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "List five adjectives to describe a pe... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8279",
"scenario_id": "late_request_for_summary_of_prior_state",
"scenario_title": "Late Summary of Prior State",
"scenario_instruction": "Have the later user ask for a compact summary, recap, or decision based on several earlier details that were introduced... |
3333:reference_previous_assistant_statement:predictive | [
{
"role": "user",
"content": "Read the input text and output the browser URL for the outside link: Please visit our website for more information about us at www.example.com"
},
{
"role": "assistant",
"content": "http://www.example.com. If you want to check if it is mobile-friendly, you can use G... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3333:reference_previous_assistant_statement:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Read the input text and output the bro... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3333",
"scenario_id": "reference_previous_assistant_statement",
"scenario_title": "Reference Previous Assistant Statement",
"scenario_instruction": "Make a later user turn refer back to something the assistant itself said earlier, requiring the assistant to ... |
7511:deferred_question_then_answer:predictive | [
{
"role": "user",
"content": "Can you explain the technical core of a GPT language model in simple terms?"
},
{
"role": "assistant",
"content": "It is an autoregressive transformer that predicts text sequences. I'll circle back to that specific technical explanation later. For now, what are your... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7511:deferred_question_then_answer:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Can you explain the technical core of a GPT lan... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7511",
"scenario_id": "deferred_question_then_answer",
"scenario_title": "Deferred Question",
"scenario_instruction": "Have the user ask something important early but explicitly postpone the answer while discussing something else, then request the answer lat... |
3484:counterfactual_option_swap:predictive | [
{
"role": "user",
"content": "Generate a song using the following context and melody: Context: A love song Melody:"
},
{
"role": "assistant",
"content": "Verse 1 When I saw you in the room My heart was beating like a drum Every moment I'm with you I know there's nothing I can do Chorus And I nev... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3484:counterfactual_option_swap:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a song using the following context and me... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3484",
"scenario_id": "counterfactual_option_swap",
"scenario_title": "Counterfactual Option Swap",
"scenario_instruction": "Make the earlier context set up one preferred option, then later introduce evidence that flips which option should be recommended, wh... |
3979:interrupting_followup_chain:predictive | [
{
"role": "user",
"content": "Create a list of five actionable items to increase efficiency in the workplace."
},
{
"role": "assistant",
"content": "1. Utilize technology to automate mundane tasks. 2. Encourage employees to work on a collaborative platform. 3. Implement a clear schedule of roles... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3979:interrupting_followup_chain:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Create a list of five actionable items to increas... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3979",
"scenario_id": "interrupting_followup_chain",
"scenario_title": "Interrupting Follow-up Chain",
"scenario_instruction": "Break an otherwise smooth line of reasoning with a short interruption or side question, then resume the original thread cleanly.",... |
7629:interrupting_followup_chain:predictive | [
{
"role": "user",
"content": "Provide a short summary of the article content in fewer than 100 words: Whales are a widely distributed and diverse group of fully aquatic placental marine mammals. They are an informal grouping within the infraorder Cetacea, which usually excludes dolphins and porpoises. Whale... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7629:interrupting_followup_chain:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Provide a short summary of the article content in... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7629",
"scenario_id": "interrupting_followup_chain",
"scenario_title": "Interrupting Follow-up Chain",
"scenario_instruction": "Break an otherwise smooth line of reasoning with a short interruption or side question, then resume the original thread cleanly.",... |
8265:hard_topic_reset:predictive | [
{
"role": "user",
"content": "Write a parable about friendship."
},
{
"role": "assistant",
"content": "Once upon a time there lived two old friends, Robert and John. Robert lived in a cottage in the woods while John lived in a small hut in the far away village. Despite the distance between them,... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8265:hard_topic_reset:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Write a parable about friendship.",
"evidence": "Wri... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8265",
"scenario_id": "hard_topic_reset",
"scenario_title": "Hard Topic Reset",
"scenario_instruction": "Make the user abruptly switch to a different topic for one turn, then later return to the original topic. The assistant must not let the temporary switch... |
3898:long_explanation_then_specific_followup:predictive | [
{
"role": "user",
"content": "Generate a list of 10 novel threats to cybersecurity."
},
{
"role": "assistant",
"content": "1. Zero-Day Exploits 2. AI-Driven Phishing 3. Ransomware-as-a-Service 4. Deepfake Voice Manipulation 5. Supply Chain Software Compromise 6. IoT Botnet Flooding 7. Cloud Conf... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3898:long_explanation_then_specific_followup:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a list of 10 novel threats t... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3898",
"scenario_id": "long_explanation_then_specific_followup",
"scenario_title": "Long Explanation Then Specific Follow-up",
"scenario_instruction": "Make the assistant provide a fairly detailed middle-turn explanation, then have the user ask a specific fo... |
220:self_correction_memory:predictive | [
{
"role": "user",
"content": "Write a haiku about the beauty of the night sky."
},
{
"role": "assistant",
"content": "Here is a haiku: Stars shine bright."
},
{
"role": "user",
"content": "Check the syllable count on the first line."
},
{
"role": "assistant",
"content": "... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "220:self_correction_memory:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Write a haiku about the beauty of the night sky.",
... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "220",
"scenario_id": "self_correction_memory",
"scenario_title": "Self-correction Memory",
"scenario_instruction": "Let the assistant revise or correct something earlier, then make a later turn depend on remembering the corrected version rather than the orig... |
7626:early_fact_late_recall:predictive | [
{
"role": "user",
"content": "Generate a metaphor that describes the situation: A hardworking student trying to finish an assignment on time. Just so you know, I have to finish it within two hours."
},
{
"role": "assistant",
"content": "Since the deadline is tight, the student is like a race car... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7626:early_fact_late_recall:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a metaphor that describes the situation: A ha... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7626",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dis... |
6215:coreference_disambiguation:predictive | [
{
"role": "user",
"content": "Rewrite the sentence \"The dog ate the cake and the cookie\" to include a negation."
},
{
"role": "assistant",
"content": "The dog did not eat the cake or the cookie."
},
{
"role": "user",
"content": "If I say \"He didn't eat them\", does \"them\" refer ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6215:coreference_disambiguation:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Rewrite the sentence \"The dog ate the cake and th... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6215",
"scenario_id": "coreference_disambiguation",
"scenario_title": "Coreference Disambiguation",
"scenario_instruction": "Introduce at least two plausible referents of the same type, then make a later user follow-up rely on a pronoun or shorthand whose me... |
8790:early_fact_late_recall:predictive | [
{
"role": "user",
"content": "Compose a song based on the provided lyrics: Lyrics: I've been trying so hard just to make it No one's willing to take a stand Time is running out and I'm feeling like I'm fading. Constraint: Compose this in C Major to emphasize hope."
},
{
"role": "assistant",
"con... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8790:early_fact_late_recall:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Compose a song based on the provided lyrics: Lyrics: I... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8790",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dis... |
4418:deferred_question_then_answer:predictive | [
{
"role": "user",
"content": "I want to train a classification model to classify emails as spam or not-spam using a CSV dataset with 200 emails. But before we start, how would I evaluate the accuracy score of the trained model?"
},
{
"role": "assistant",
"content": "I can help you set up the tra... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "4418:deferred_question_then_answer:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I want to train a classification model to class... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "4418",
"scenario_id": "deferred_question_then_answer",
"scenario_title": "Deferred Question",
"scenario_instruction": "Have the user ask something important early but explicitly postpone the answer while discussing something else, then request the answer lat... |
9434:hard_topic_reset:predictive | [
{
"role": "user",
"content": "I'm planning to meet a new person at a conference. How should I start the conversation?"
},
{
"role": "assistant",
"content": "Start with a friendly greeting and ask them a question about their work. For example, \"Hi, how is your day going?\" or \"What do you do at... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9434:hard_topic_reset:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm planning to meet a new person at a conference. How shoul... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9434",
"scenario_id": "hard_topic_reset",
"scenario_title": "Hard Topic Reset",
"scenario_instruction": "Make the user abruptly switch to a different topic for one turn, then later return to the original topic. The assistant must not let the temporary switch... |
185:stacked_entities_same_type:predictive | [
{
"role": "user",
"content": "Create a metaphor to describe a storm."
},
{
"role": "assistant",
"content": "A storm is like a hungry dragon consuming the land, breathing fire and tearing up everything in its path."
},
{
"role": "user",
"content": "Can you describe two specific storms... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "185:stacked_entities_same_type:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Create a metaphor to describe a storm.",
"e... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "185",
"scenario_id": "stacked_entities_same_type",
"scenario_title": "Stacked Similar Entities",
"scenario_instruction": "Introduce multiple similar entities such as two cities, two products, two people, or two tasks, then ask about one using shorthand later... |
64:two_thread_tracking:predictive | [
{
"role": "user",
"content": "Create a recipe for Penne Alla Vodka."
},
{
"role": "assistant",
"content": "Sure thing. You'll need 1 lb of penne, 1 cup heavy cream, vodka, and parmesan. Boil the pasta, then make the sauce in a skillet and combine everything."
},
{
"role": "user",
"co... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "64:two_thread_tracking:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Create a recipe for Penne Alla Vodka.",
"evidence":... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "64",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them toget... |
8147:hard_topic_reset:predictive | [
{
"role": "user",
"content": "Generate a metaphor for the statement: The world is a dangerous place."
},
{
"role": "assistant",
"content": "It's like a minefield, where one misplaced step could trigger an unexpected explosion."
},
{
"role": "user",
"content": "Okay, stop with metapho... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8147:hard_topic_reset:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a metaphor for the statement: The world is a danger... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8147",
"scenario_id": "hard_topic_reset",
"scenario_title": "Hard Topic Reset",
"scenario_instruction": "Make the user abruptly switch to a different topic for one turn, then later return to the original topic. The assistant must not let the temporary switch... |
1532:late_request_for_summary_of_prior_state:predictive | [
{
"role": "user",
"content": "Generate a short story of maximum 100 words involving a king and a dragon."
},
{
"role": "assistant",
"content": "Once upon a time, there lived a wise and powerful King. He ruled his kingdom with great wisdom and justice. One day, a powerful dragon threatened the ki... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "1532:late_request_for_summary_of_prior_state:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a short story of maximum 100... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "1532",
"scenario_id": "late_request_for_summary_of_prior_state",
"scenario_title": "Late Summary of Prior State",
"scenario_instruction": "Have the later user ask for a compact summary, recap, or decision based on several earlier details that were introduced... |
8190:topic_pivot_then_return:predictive | [
{
"role": "user",
"content": "Explain the concept of multi-label classification."
},
{
"role": "assistant",
"content": "Sure. Multi-label classification allows a single input to belong to multiple classes simultaneously, unlike single-label tasks. It's useful for tasks like tagging images or doc... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8190:topic_pivot_then_return:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Explain the concept of multi-label classification.",
... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8190",
"scenario_id": "topic_pivot_then_return",
"scenario_title": "Topic Pivot Then Return",
"scenario_instruction": "Let the conversation briefly pivot to a secondary issue, then return to the original problem in a way that requires preserving the first th... |
5637:same_surface_final_question_new_context:predictive | [
{
"role": "user",
"content": "I'm building a predictive model for a client where I have a single customer dataset. They need two distinct outputs for each row: a churn prediction (class) and a monthly spending value (regression)."
},
{
"role": "assistant",
"content": "That implies a multi-task l... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5637:same_surface_final_question_new_context:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm building a predictive model for a... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5637",
"scenario_id": "same_surface_final_question_new_context",
"scenario_title": "Same Surface Final Question, New Context",
"scenario_instruction": "Reshape the earlier history so the final user message keeps nearly the same surface form but now refers to... |
1210:two_thread_tracking:predictive | [
{
"role": "user",
"content": "What are the essential structural elements required for a speech to be considered successful?"
},
{
"role": "assistant",
"content": "For a speech to be successful, it needs an introduction, a body, and a conclusion. Additionally, the tone must be positive and the co... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "1210:two_thread_tracking:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "What are the essential structural elements required for a... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "1210",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
386:reference_previous_assistant_statement:predictive | [
{
"role": "user",
"content": "I want an analysis of the border policy separating families. Which side do you support?"
},
{
"role": "assistant",
"content": "I support opposing this policy. It is a cruel violation of human rights that causes significant trauma to families."
},
{
"role": "... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "386:reference_previous_assistant_statement:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I want an analysis of the border policy... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "386",
"scenario_id": "reference_previous_assistant_statement",
"scenario_title": "Reference Previous Assistant Statement",
"scenario_instruction": "Make a later user turn refer back to something the assistant itself said earlier, requiring the assistant to s... |
957:user_attention_test:predictive | [
{
"role": "user",
"content": "Write a marketing headline for 'CodeNest', a course that specifically focuses on Python programming."
},
{
"role": "assistant",
"content": "Master Python Programming With CodeNest!"
},
{
"role": "user",
"content": "You used Python in the headline. Can yo... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "957:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Write a marketing headline for 'CodeNest', a course that s... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "957",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must ... |
2581:long_explanation_then_specific_followup:predictive | [
{
"role": "user",
"content": "Explain the core principles of chemical process optimization."
},
{
"role": "assistant",
"content": "It involves balancing yield, cost, and safety constraints."
},
{
"role": "user",
"content": "Can you list the specific mathematical frameworks typically ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "2581:long_explanation_then_specific_followup:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Explain the core principles of chemic... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "2581",
"scenario_id": "long_explanation_then_specific_followup",
"scenario_title": "Long Explanation Then Specific Follow-up",
"scenario_instruction": "Make the assistant provide a fairly detailed middle-turn explanation, then have the user ask a specific fo... |
1839:deferred_question_then_answer:predictive | [
{
"role": "user",
"content": "Construct an algorithm to find the sum of two numbers."
},
{
"role": "assistant",
"content": "Here is a Python function to calculate the sum of two numbers. def sumOfTwoNumbers(num1, num2): sum = num1 + num2 return sum"
},
{
"role": "user",
"content": "B... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "1839:deferred_question_then_answer:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Construct an algorithm to find the sum of two n... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "1839",
"scenario_id": "deferred_question_then_answer",
"scenario_title": "Deferred Question",
"scenario_instruction": "Have the user ask something important early but explicitly postpone the answer while discussing something else, then request the answer lat... |
574:long_explanation_then_specific_followup:predictive | [
{
"role": "user",
"content": "I'm building a classifier for a binary task. Which models should I consider for interpretability versus accuracy?"
},
{
"role": "assistant",
"content": "For interpretability, Logistic Regression is a good baseline. For accuracy on complex data, Random Forests or Gra... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "574:long_explanation_then_specific_followup:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm building a classifier for a binary... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "574",
"scenario_id": "long_explanation_then_specific_followup",
"scenario_title": "Long Explanation Then Specific Follow-up",
"scenario_instruction": "Make the assistant provide a fairly detailed middle-turn explanation, then have the user ask a specific fol... |
5498:coreference_disambiguation:predictive | [
{
"role": "user",
"content": "Generate a short story with a climax and resolution."
},
{
"role": "assistant",
"content": "John and Bob entered the gym. They both lifted heavy weights. One man pushed the other's weight rack. One man fell to the floor."
},
{
"role": "user",
"content": ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5498:coreference_disambiguation:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a short story with a climax and resolutio... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5498",
"scenario_id": "coreference_disambiguation",
"scenario_title": "Coreference Disambiguation",
"scenario_instruction": "Introduce at least two plausible referents of the same type, then make a later user follow-up rely on a pronoun or shorthand whose me... |
416:long_explanation_then_specific_followup:predictive | [
{
"role": "user",
"content": "A police officer has pulled over a driver for reckless driving in a residential area. What are the immediate procedural options available to the officer?"
},
{
"role": "assistant",
"content": "The officer can typically issue a citation to the driver for the violatio... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "416:long_explanation_then_specific_followup:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "A police officer has pulled over a dri... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "416",
"scenario_id": "long_explanation_then_specific_followup",
"scenario_title": "Long Explanation Then Specific Follow-up",
"scenario_instruction": "Make the assistant provide a fairly detailed middle-turn explanation, then have the user ask a specific fol... |
6359:late_constraint_reversal:predictive | [
{
"role": "user",
"content": "Can you explain the primary causes of World War I?"
},
{
"role": "assistant",
"content": "The primary causes were militarism, imperialism, and a complex system of alliances between European nations that made conflict spread rapidly."
},
{
"role": "user",
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6359:late_constraint_reversal:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Can you explain the primary causes of World War I?",... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6359",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
3790:clarify_then_resolve:predictive | [
{
"role": "user",
"content": "I'm working on a literature project and need to identify common rhetorical devices used in famous political speeches."
},
{
"role": "assistant",
"content": "There are many options, but to give you the most relevant examples, could you specify which type of device or... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3790:clarify_then_resolve:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm working on a literature project and need to identify... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3790",
"scenario_id": "clarify_then_resolve",
"scenario_title": "Clarify Then Resolve",
"scenario_instruction": "Make the user start vague, then reveal a crucial detail only after clarification. The final answer should depend on the revealed detail rather th... |
290:late_constraint_reversal:predictive | [
{
"role": "user",
"content": "Generate an example of a realistic dataset for a classification problem."
},
{
"role": "assistant",
"content": "A fruit dataset fits well. Features could include Name, Color, Weight, Type (Apple/Orange/Banana), Seeds, and Origin. The target variable would be the fru... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "290:late_constraint_reversal:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate an example of a realistic dataset for a clas... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "290",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without fo... |
2632:user_attention_test:predictive | [
{
"role": "user",
"content": "Generate a story about a child learning how to fly, but make sure the animal helper is a blue lark."
},
{
"role": "assistant",
"content": "Once upon a time, there was a small child who dreamed of flying. Every day they watched the birds soaring through the sky and w... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "2632:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a story about a child learning how to fly, but m... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "2632",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must... |
4113:two_thread_tracking:predictive | [
{
"role": "user",
"content": "I'm writing a story about a family's journey to a beach town. Can you suggest a title for it?"
},
{
"role": "assistant",
"content": "Here's a title idea: \"The Sand and the Sea: A Family's Journey to the Beach\""
},
{
"role": "user",
"content": "Interest... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "4113:two_thread_tracking:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm writing a story about a family's journey to a beach t... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "4113",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
5891:clarify_then_resolve:predictive | [
{
"role": "user",
"content": "I'm planning to reach out to a few people on LinkedIn for career advice, but I'm worried my draft messages won't get any replies."
},
{
"role": "assistant",
"content": "That's a common concern. The key is tailoring the message to the specific person's profile and ro... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5891:clarify_then_resolve:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm planning to reach out to a few people on LinkedIn fo... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5891",
"scenario_id": "clarify_then_resolve",
"scenario_title": "Clarify Then Resolve",
"scenario_instruction": "Make the user start vague, then reveal a crucial detail only after clarification. The final answer should depend on the revealed detail rather th... |
6284:interrupting_followup_chain:predictive | [
{
"role": "user",
"content": "Provide an example of a slant rhyme from a poem."
},
{
"role": "assistant",
"content": "An example of a slant rhyme from a poem is the words \"ocean\" and \"motion\" in the poem \"Crossing the Bar\" by Alfred Lord Tennyson."
},
{
"role": "user",
"content... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6284:interrupting_followup_chain:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Provide an example of a slant rhyme from a poem."... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6284",
"scenario_id": "interrupting_followup_chain",
"scenario_title": "Interrupting Follow-up Chain",
"scenario_instruction": "Break an otherwise smooth line of reasoning with a short interruption or side question, then resume the original thread cleanly.",... |
5453:interrupting_followup_chain:predictive | [
{
"role": "user",
"content": "How can we effectively reduce plastic waste in manufacturing?"
},
{
"role": "assistant",
"content": "Using recycled plastic in manufacturing processes is a key strategy. Encouraging reusable materials and environmentally friendly packaging also helps reduce waste."
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5453:interrupting_followup_chain:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "How can we effectively reduce plastic waste in ma... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5453",
"scenario_id": "interrupting_followup_chain",
"scenario_title": "Interrupting Follow-up Chain",
"scenario_instruction": "Break an otherwise smooth line of reasoning with a short interruption or side question, then resume the original thread cleanly.",... |
244:clarify_then_resolve:predictive | [
{
"role": "user",
"content": "Write me a poem."
},
{
"role": "assistant",
"content": "Sure. What subject would you like the poem to cover?"
},
{
"role": "user",
"content": "I'd like something related to health."
},
{
"role": "assistant",
"content": "Okay, health. Is there... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "244:clarify_then_resolve:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Write me a poem.",
"evidence": "Write me a poem."... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "244",
"scenario_id": "clarify_then_resolve",
"scenario_title": "Clarify Then Resolve",
"scenario_instruction": "Make the user start vague, then reveal a crucial detail only after clarification. The final answer should depend on the revealed detail rather tha... |
5245:late_constraint_reversal:predictive | [
{
"role": "user",
"content": "Rewrite 'The cat ate the food' using a verb that emphasizes speed."
},
{
"role": "assistant",
"content": "The cat devoured the food."
},
{
"role": "user",
"content": "Rewrite 'She slept through the movie' using a verb that implies quietness."
},
{
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5245:late_constraint_reversal:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Rewrite 'The cat ate the food' using a verb that emp... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5245",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
5272:clarify_then_resolve:predictive | [
{
"role": "user",
"content": "Generate a viewpoint-divergent sentence that conveys the same information as the original survey statement."
},
{
"role": "assistant",
"content": "I can do that, but do you want me to specify the time frame in the sentence?"
},
{
"role": "user",
"content... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5272:clarify_then_resolve:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a viewpoint-divergent sentence that conveys the... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5272",
"scenario_id": "clarify_then_resolve",
"scenario_title": "Clarify Then Resolve",
"scenario_instruction": "Make the user start vague, then reveal a crucial detail only after clarification. The final answer should depend on the revealed detail rather th... |
3858:late_request_for_summary_of_prior_state:predictive | [
{
"role": "user",
"content": "Generate a list of five positive attitudes."
},
{
"role": "assistant",
"content": "1. Optimism 2. Self-confidence 3. Gratitude 4. Creativity 5. Compassion"
},
{
"role": "user",
"content": "Can you give me an example of how someone can portray compassion ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3858:late_request_for_summary_of_prior_state:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Generate a list of five positive atti... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3858",
"scenario_id": "late_request_for_summary_of_prior_state",
"scenario_title": "Late Summary of Prior State",
"scenario_instruction": "Have the later user ask for a compact summary, recap, or decision based on several earlier details that were introduced... |
7040:self_correction_memory:predictive | [
{
"role": "user",
"content": "Design an experiment to study how the shape of a container affects the rate at which it is filled with liquid."
},
{
"role": "assistant",
"content": "To study this, I suggest using two containers of the same material. You can fill them to the brim and measure the ti... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7040:self_correction_memory:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Design an experiment to study how the shape of a conta... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7040",
"scenario_id": "self_correction_memory",
"scenario_title": "Self-correction Memory",
"scenario_instruction": "Let the assistant revise or correct something earlier, then make a later turn depend on remembering the corrected version rather than the ori... |
9080:reference_previous_assistant_statement:predictive | [
{
"role": "user",
"content": "Create a diary entry for August 2022."
},
{
"role": "assistant",
"content": "Today was a surprisingly sunny day, so I decided to go for a walk with my dog. I made time to reflect on my progress and noticed my time management skills need work."
},
{
"role": "... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9080:reference_previous_assistant_statement:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Create a diary entry for August 2022."... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9080",
"scenario_id": "reference_previous_assistant_statement",
"scenario_title": "Reference Previous Assistant Statement",
"scenario_instruction": "Make a later user turn refer back to something the assistant itself said earlier, requiring the assistant to ... |
224:late_request_for_summary_of_prior_state:predictive | [
{
"role": "user",
"content": "Help me draft an email invitation for a meeting with three people I've never met: John, Jenny, and Chris."
},
{
"role": "assistant",
"content": "Here is a draft email. It invites John, Jenny, and Chris, asks for availability, and lists my available times."
},
{
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "224:late_request_for_summary_of_prior_state:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Help me draft an email invitation for ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "224",
"scenario_id": "late_request_for_summary_of_prior_state",
"scenario_title": "Late Summary of Prior State",
"scenario_instruction": "Have the later user ask for a compact summary, recap, or decision based on several earlier details that were introduced ... |
5420:two_thread_tracking:predictive | [
{
"role": "user",
"content": "The weather forecast is predicting heavy rain tomorrow."
},
{
"role": "assistant",
"content": "Based on the forecast, it is likely to rain heavily tomorrow."
},
{
"role": "user",
"content": "What precautions should I take to prepare for heavy rain at hom... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5420:two_thread_tracking:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "The weather forecast is predicting heavy rain tomorrow.",... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5420",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
5738:preserve_opening_retarget_later:predictive | [
{
"role": "user",
"content": "What are the two primary functions of the US Federal Reserve?"
},
{
"role": "assistant",
"content": "The two primary functions of the US Federal Reserve are to promote maximum employment and stable prices through monetary policy, and to supervise and regulate bankin... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5738:preserve_opening_retarget_later:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "What are the two primary functions of the US ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5738",
"scenario_id": "preserve_opening_retarget_later",
"scenario_title": "Preserve Opening, Retarget Later",
"scenario_instruction": "Keep the first user message exactly, but rewrite later turns so the conversation develops into a harder memory-dependent f... |
6413:same_surface_final_question_new_context:predictive | [
{
"role": "user",
"content": "I need to plan an outdoor activity for next spring, specifically on the coast since I can't drive inland."
},
{
"role": "assistant",
"content": "Understood. Coastal areas are usually great for spring visits, avoiding the snow inland."
},
{
"role": "user",
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6413:same_surface_final_question_new_context:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I need to plan an outdoor activity fo... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6413",
"scenario_id": "same_surface_final_question_new_context",
"scenario_title": "Same Surface Final Question, New Context",
"scenario_instruction": "Reshape the earlier history so the final user message keeps nearly the same surface form but now refers to... |
5548:interrupting_followup_chain:predictive | [
{
"role": "user",
"content": "Describe the process of how a computer generates a response to a query."
},
{
"role": "assistant",
"content": "When a computer receives a query, it begins by parsing the input to understand the components of the question and assign a meaning to the keywords. It then... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5548:interrupting_followup_chain:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Describe the process of how a computer generates ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5548",
"scenario_id": "interrupting_followup_chain",
"scenario_title": "Interrupting Follow-up Chain",
"scenario_instruction": "Break an otherwise smooth line of reasoning with a short interruption or side question, then resume the original thread cleanly.",... |
8310:user_attention_test:predictive | [
{
"role": "user",
"content": "Summarize the text input: iPhone 12 was unveiled earlier this month and the first reviews have been released. Most reviewers have praised the design for being a strong combination of modern and classic. The camera has been improved to offer clearer photos, and the processor upg... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8310:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Summarize the text input: iPhone 12 was unveiled earlier ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8310",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must... |
8825:same_surface_final_question_new_context:predictive | [
{
"role": "user",
"content": "Tell me a specific example of a negotiation scenario."
},
{
"role": "assistant",
"content": "Sure, I can share an example. I recently negotiated a raise with my manager regarding my compensation package."
},
{
"role": "user",
"content": "How did the mana... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8825:same_surface_final_question_new_context:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Tell me a specific example of a negot... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8825",
"scenario_id": "same_surface_final_question_new_context",
"scenario_title": "Same Surface Final Question, New Context",
"scenario_instruction": "Reshape the earlier history so the final user message keeps nearly the same surface form but now refers to... |
5222:late_constraint_reversal:predictive | [
{
"role": "user",
"content": "What are the different ways of treating clinical depression?"
},
{
"role": "assistant",
"content": "There are several approaches including medication, psychotherapy, and lifestyle modifications. Psychotherapy, specifically Cognitive Behavioral Therapy (CBT), is high... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5222:late_constraint_reversal:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "What are the different ways of treating clinical dep... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5222",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
4349:reference_previous_assistant_statement:predictive | [
{
"role": "user",
"content": "Rewrite this sentence using synonyms: He said that he wanted to go on a walk."
},
{
"role": "assistant",
"content": "He exclaimed that he desired to embark on a stroll."
},
{
"role": "user",
"content": "Can you provide me with an example of another sente... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "4349:reference_previous_assistant_statement:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Rewrite this sentence using synonyms: ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "4349",
"scenario_id": "reference_previous_assistant_statement",
"scenario_title": "Reference Previous Assistant Statement",
"scenario_instruction": "Make a later user turn refer back to something the assistant itself said earlier, requiring the assistant to ... |
3424:two_thread_tracking:predictive | [
{
"role": "user",
"content": "What are the three most effective ways to participate in a team meeting?"
},
{
"role": "assistant",
"content": "1. Prepare by researching topics and gathering necessary resources. 2. Participate actively in discussions and listen attentively. 3. Follow up on any mis... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3424:two_thread_tracking:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "What are the three most effective ways to participate in ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3424",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
9071:late_request_for_summary_of_prior_state:predictive | [
{
"role": "user",
"content": "Explain the concept of 'Divide and Conquer'."
},
{
"role": "assistant",
"content": "Divide and Conquer is an algorithmic strategy in which a complex problem is broken down into smaller, more manageable sub-problems. Then these sub-problems are each solved to create ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9071:late_request_for_summary_of_prior_state:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Explain the concept of 'Divide and Co... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9071",
"scenario_id": "late_request_for_summary_of_prior_state",
"scenario_title": "Late Summary of Prior State",
"scenario_instruction": "Have the later user ask for a compact summary, recap, or decision based on several earlier details that were introduced... |
2587:clarify_then_resolve:predictive | [
{
"role": "user",
"content": "I need to write a chatbot response for a customer who says their new laptop stopped working right out of the box."
},
{
"role": "assistant",
"content": "I can certainly draft that. Before I proceed, could you clarify if this is a hardware defect or a software bug?"
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "2587:clarify_then_resolve:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I need to write a chatbot response for a customer who sa... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "2587",
"scenario_id": "clarify_then_resolve",
"scenario_title": "Clarify Then Resolve",
"scenario_instruction": "Make the user start vague, then reveal a crucial detail only after clarification. The final answer should depend on the revealed detail rather th... |
8361:user_attention_test:predictive | [
{
"role": "user",
"content": "What are the three common operation of databases?"
},
{
"role": "assistant",
"content": "The three common operations of databases are create, read, update, and delete (CRUD)."
},
{
"role": "user",
"content": "Wait, you listed four when I asked about thre... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8361:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "What are the three common operation of databases?",
... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8361",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must... |
3150:self_correction_memory:predictive | [
{
"role": "user",
"content": "Create a hashtag related to this topic: Health and wellness"
},
{
"role": "assistant",
"content": "#HealthyLiving. Popular diets include: 1. Vegan (no animal products). 2. Keto (low carb). 3. Paleo (no grains, dairy). 4. Mediterranean (balanced)."
},
{
"role... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3150:self_correction_memory:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Create a hashtag related to this topic: Health and wel... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3150",
"scenario_id": "self_correction_memory",
"scenario_title": "Self-correction Memory",
"scenario_instruction": "Let the assistant revise or correct something earlier, then make a later turn depend on remembering the corrected version rather than the ori... |
9597:user_attention_test:predictive | [
{
"role": "user",
"content": "Find the average salary of data analysts in the USA."
},
{
"role": "assistant",
"content": "According to PayScale, the average salary of data analysts in the USA is $62,748 per year. Location is a key factor, with cities like San Francisco often showing higher figur... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9597:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Find the average salary of data analysts in the USA.",
... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9597",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must... |
1787:user_attention_test:predictive | [
{
"role": "user",
"content": "Summarize the article for product A: Product A is an innovative new product that provides users with a fast, secure, and reliable way to transfer money online. It also offers an array of other features, such as multiple account support, integration with social media, and secure... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "1787:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Summarize the article for product A: Product A is an inno... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "1787",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must... |
9629:preserve_opening_retarget_later:predictive | [
{
"role": "user",
"content": "Infer the meaning of the following example using standard rules:: The cat chased its tail."
},
{
"role": "assistant",
"content": "The meaning of the example is that the cat was running in circles, trying to catch its own tail. This can either signify playfulness or ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9629:preserve_opening_retarget_later:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Infer the meaning of the following example us... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9629",
"scenario_id": "preserve_opening_retarget_later",
"scenario_title": "Preserve Opening, Retarget Later",
"scenario_instruction": "Keep the first user message exactly, but rewrite later turns so the conversation develops into a harder memory-dependent f... |
6763:early_fact_late_recall:predictive | [
{
"role": "user",
"content": "Create a function to check if a given year is a leap year. I need to verify if it handles 2000 correctly."
},
{
"role": "assistant",
"content": "def is_leap_year(year): if (year % 4 == 0 and year % 100 != 0) or (year % 400 == 0): return True else: return False"
},... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6763:early_fact_late_recall:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Create a function to check if a given year is a leap y... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6763",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dis... |
868:early_fact_late_recall:predictive | [
{
"role": "user",
"content": "I'm learning Spanish for the first time, but I have a strict rule that I only use completely free resources."
},
{
"role": "assistant",
"content": "That's a solid approach. Many popular apps offer generous free tiers while keeping premium content locked."
},
{
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "868:early_fact_late_recall:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm learning Spanish for the first time, but I have a s... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "868",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dist... |
2063:same_surface_final_question_new_context:predictive | [
{
"role": "user",
"content": "We are analyzing the proposal to deploy facial recognition scanners at polling stations for identity verification."
},
{
"role": "assistant",
"content": "While this aids in preventing proxy voting, it relies on precise data matching and introduces risks regarding bi... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "2063:same_surface_final_question_new_context:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "We are analyzing the proposal to depl... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "2063",
"scenario_id": "same_surface_final_question_new_context",
"scenario_title": "Same Surface Final Question, New Context",
"scenario_instruction": "Reshape the earlier history so the final user message keeps nearly the same surface form but now refers to... |
7994:coreference_disambiguation:predictive | [
{
"role": "user",
"content": "Choose the best answer. Which of the following is a type of data visualization?: A) A graph B) A heatmap C) A soundtrack"
},
{
"role": "assistant",
"content": "B) A heatmap"
},
{
"role": "user",
"content": "Can you provide an example of when you would us... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7994:coreference_disambiguation:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Choose the best answer. Which of the following is ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7994",
"scenario_id": "coreference_disambiguation",
"scenario_title": "Coreference Disambiguation",
"scenario_instruction": "Introduce at least two plausible referents of the same type, then make a later user follow-up rely on a pronoun or shorthand whose me... |
9935:user_attention_test:predictive | [
{
"role": "user",
"content": "I'm planning a trip to a snowy mountain. First, what are the main hazards I should be aware of?"
},
{
"role": "assistant",
"content": "Potential hazards include avalanches, slips, and wildlife encounters. Specifically, you might face bears or moose as part of the wi... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9935:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm planning a trip to a snowy mountain. First, what are ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9935",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must... |
2846:late_constraint_reversal:predictive | [
{
"role": "user",
"content": "Rewrite the sentence \"The view at the top of the mountain was beautiful.\" using an appropriate synonym."
},
{
"role": "assistant",
"content": "The view at the top of the mountain was gorgeous."
},
{
"role": "user",
"content": "Now, list a few other syn... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "2846:late_constraint_reversal:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Rewrite the sentence \"The view at the top of the mo... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "2846",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
7085:coreference_disambiguation:predictive | [
{
"role": "user",
"content": "I'm starting a balcony garden with tomatoes and peppers."
},
{
"role": "assistant",
"content": "Tomatoes are generally easier, but peppers need more sun exposure."
},
{
"role": "user",
"content": "For the one that needs more sun, how much water does it g... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7085:coreference_disambiguation:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm starting a balcony garden with tomatoes and pe... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7085",
"scenario_id": "coreference_disambiguation",
"scenario_title": "Coreference Disambiguation",
"scenario_instruction": "Introduce at least two plausible referents of the same type, then make a later user follow-up rely on a pronoun or shorthand whose me... |
9583:topic_pivot_then_return:predictive | [
{
"role": "user",
"content": "Change the following sentence to the active voice: The presentation was given by our manager."
},
{
"role": "assistant",
"content": "Our manager gave the presentation."
},
{
"role": "user",
"content": "Before we continue, what would be a good subject lin... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9583:topic_pivot_then_return:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Change the following sentence to the active voice: Th... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9583",
"scenario_id": "topic_pivot_then_return",
"scenario_title": "Topic Pivot Then Return",
"scenario_instruction": "Let the conversation briefly pivot to a secondary issue, then return to the original problem in a way that requires preserving the first th... |
5170:two_thread_tracking:predictive | [
{
"role": "user",
"content": "What are the main benefits of artificial intelligence in healthcare, particularly around diagnostics and treatment?"
},
{
"role": "assistant",
"content": "Artificial intelligence offers several key benefits in healthcare, especially for diagnostics and treatment. In... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5170:two_thread_tracking:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "What are the main benefits of artificial intelligence in ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5170",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
347:stacked_entities_same_type:predictive | [
{
"role": "user",
"content": "Analyze the situation and provide a solution: A small business owner has decided to open a bakery and wants to determine the best way to promote two items: the \"Almond Croissant\" and the \"Blueberry Muffin\"."
},
{
"role": "assistant",
"content": "The best way to ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "347:stacked_entities_same_type:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Analyze the situation and provide a solution: A sma... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "347",
"scenario_id": "stacked_entities_same_type",
"scenario_title": "Stacked Similar Entities",
"scenario_instruction": "Introduce multiple similar entities such as two cities, two products, two people, or two tasks, then ask about one using shorthand later... |
6037:same_surface_final_question_new_context:predictive | [
{
"role": "user",
"content": "I recently moved to a new city and am looking for ways to manage my health while commuting."
},
{
"role": "assistant",
"content": "Moving cities can change routines. What mode of transport are you considering primarily?"
},
{
"role": "user",
"content": "... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6037:same_surface_final_question_new_context:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I recently moved to a new city and am... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6037",
"scenario_id": "same_surface_final_question_new_context",
"scenario_title": "Same Surface Final Question, New Context",
"scenario_instruction": "Reshape the earlier history so the final user message keeps nearly the same surface form but now refers to... |
5202:counterfactual_option_swap:predictive | [
{
"role": "user",
"content": "What NLP application should I focus on for maximum ROI in a startup?"
},
{
"role": "assistant",
"content": "Automated Translation is the strongest option currently. Multilingual models allow for rapid global expansion without hiring new regions."
},
{
"role"... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5202:counterfactual_option_swap:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "What NLP application should I focus on for maximum... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5202",
"scenario_id": "counterfactual_option_swap",
"scenario_title": "Counterfactual Option Swap",
"scenario_instruction": "Make the earlier context set up one preferred option, then later introduce evidence that flips which option should be recommended, wh... |
1505:coreference_disambiguation:predictive | [
{
"role": "user",
"content": "Can you explain the subject-verb agreement in 'The team and the fans are celebrating'?"
},
{
"role": "assistant",
"content": "The subject is the compound 'team and fans,' which is plural, so 'are' is correct. The verb agrees with the plural noun."
},
{
"role... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "1505:coreference_disambiguation:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Can you explain the subject-verb agreement in 'The... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "1505",
"scenario_id": "coreference_disambiguation",
"scenario_title": "Coreference Disambiguation",
"scenario_instruction": "Introduce at least two plausible referents of the same type, then make a later user follow-up rely on a pronoun or shorthand whose me... |
827:hard_topic_reset:predictive | [
{
"role": "user",
"content": "Can you summarize the relationship between Vietnam and the global coffee trade?"
},
{
"role": "assistant",
"content": "Vietnam is the world's second largest coffee producer after Brazil. They primarily grow Robusta beans, which contributes significantly to the count... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "827:hard_topic_reset:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Can you summarize the relationship between Vietnam and the gl... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "827",
"scenario_id": "hard_topic_reset",
"scenario_title": "Hard Topic Reset",
"scenario_instruction": "Make the user abruptly switch to a different topic for one turn, then later return to the original topic. The assistant must not let the temporary switch ... |
6393:two_thread_tracking:predictive | [
{
"role": "user",
"content": "Where do you think blockchain has the biggest impact in the real world?"
},
{
"role": "assistant",
"content": "Logistics is a huge one. For example, tracking cargo from port to warehouse ensures no tampering with goods."
},
{
"role": "user",
"content": "... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6393:two_thread_tracking:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Where do you think blockchain has the biggest impact in t... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6393",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
9091:self_correction_memory:predictive | [
{
"role": "user",
"content": "Insert a comma to make the following sentence grammatically correct: The bakery, that I visited yesterday, had freshly made croissants."
},
{
"role": "assistant",
"content": "The bakery that I visited yesterday had freshly made croissants."
},
{
"role": "use... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9091:self_correction_memory:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Insert a comma to make the following sentence grammati... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9091",
"scenario_id": "self_correction_memory",
"scenario_title": "Self-correction Memory",
"scenario_instruction": "Let the assistant revise or correct something earlier, then make a later turn depend on remembering the corrected version rather than the ori... |
4263:long_explanation_then_specific_followup:predictive | [
{
"role": "user",
"content": "I'm drafting a poem about the night sky. Can you help me identify the core colors used to describe a stormy night versus a clear night?"
},
{
"role": "assistant",
"content": "For a clear night, poets often use words like azure, violet, and deep blue to represent the... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "4263:long_explanation_then_specific_followup:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I'm drafting a poem about the night s... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "4263",
"scenario_id": "long_explanation_then_specific_followup",
"scenario_title": "Long Explanation Then Specific Follow-up",
"scenario_instruction": "Make the assistant provide a fairly detailed middle-turn explanation, then have the user ask a specific fo... |
9221:early_fact_late_recall:predictive | [
{
"role": "user",
"content": "Name 5 emotional states."
},
{
"role": "assistant",
"content": "Joy, sadness, fear, anger, and disgust. Also, for the rest of this conversation, I will stick to work-related examples only."
},
{
"role": "user",
"content": "Give me an example of joy in a ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9221:early_fact_late_recall:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Name 5 emotional states.",
"evidence": "Name 5... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9221",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dis... |
4815:late_constraint_reversal:predictive | [
{
"role": "user",
"content": "Explain the difference between critical thinking and analytical thinking."
},
{
"role": "assistant",
"content": "Critical thinking involves evaluating assumptions and biases to form a judgment, while analytical thinking focuses on breaking down complex problems into... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "4815:late_constraint_reversal:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Explain the difference between critical thinking and... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "4815",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
1950:preserve_opening_retarget_later:predictive | [
{
"role": "user",
"content": "Compute the following expression: 10 + 6 * 7 - 58"
},
{
"role": "assistant",
"content": "10 + 6 * 7 - 58 = 48"
},
{
"role": "user",
"content": "Since I got 48, what would the total be if I added 100 to it?"
},
{
"role": "assistant",
"content"... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "1950:preserve_opening_retarget_later:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Compute the following expression: 10 + 6 * 7 ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "1950",
"scenario_id": "preserve_opening_retarget_later",
"scenario_title": "Preserve Opening, Retarget Later",
"scenario_instruction": "Keep the first user message exactly, but rewrite later turns so the conversation develops into a harder memory-dependent f... |
9721:user_attention_test:predictive | [
{
"role": "user",
"content": "Construct an algorithm to solve the given problem: Problem: Calculate the sum of all multiples of 3 and 5 between 1 and 100"
},
{
"role": "assistant",
"content": "Algorithm: 1. Initialize Sum as 0. 2. Set a variable i to 0. 3. While i is less than or equal to 100, d... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9721:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Construct an algorithm to solve the given problem: Proble... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9721",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must... |
1355:same_surface_final_question_new_context:predictive | [
{
"role": "user",
"content": "I've been considering switching my approach from a low-carb keto plan to something more sustainable."
},
{
"role": "assistant",
"content": "That's a wise decision for long-term health. Have you looked into the intermittent fasting protocol?"
},
{
"role": "us... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "1355:same_surface_final_question_new_context:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "I've been considering switching my ap... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "1355",
"scenario_id": "same_surface_final_question_new_context",
"scenario_title": "Same Surface Final Question, New Context",
"scenario_instruction": "Reshape the earlier history so the final user message keeps nearly the same surface form but now refers to... |
9518:topic_pivot_then_return:predictive | [
{
"role": "user",
"content": "How is the backpropagation algorithm utilized specifically for training object detectors in autonomous driving systems?"
},
{
"role": "assistant",
"content": "The backpropagation algorithm calculates the gradient of the loss function with respect to the model's weig... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9518:topic_pivot_then_return:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "How is the backpropagation algorithm utilized specifi... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9518",
"scenario_id": "topic_pivot_then_return",
"scenario_title": "Topic Pivot Then Return",
"scenario_instruction": "Let the conversation briefly pivot to a secondary issue, then return to the original problem in a way that requires preserving the first th... |
3023:late_constraint_reversal:predictive | [
{
"role": "user",
"content": "Classify the painting as either abstract or landscape: "
},
{
"role": "assistant",
"content": "Abstract."
},
{
"role": "user",
"content": "Can y... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3023:late_constraint_reversal:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Classify the painting as either abstract or landscap... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3023",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
1149:topic_pivot_then_return:predictive | [
{
"role": "user",
"content": "Explain the following business challenge: Restaurant industry faces numerous challenges related to rising labor costs, increasing competition and slow population growth."
},
{
"role": "assistant",
"content": "Yes, those challenges threaten long-term viability. To su... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "1149:topic_pivot_then_return:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Explain the following business challenge: Restaurant ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "1149",
"scenario_id": "topic_pivot_then_return",
"scenario_title": "Topic Pivot Then Return",
"scenario_instruction": "Let the conversation briefly pivot to a secondary issue, then return to the original problem in a way that requires preserving the first th... |
3828:long_explanation_then_specific_followup:predictive | [
{
"role": "user",
"content": "Given the following words, create a descriptive sentence: Rose, sweet, fragrance."
},
{
"role": "assistant",
"content": "The sweet fragrance of the rose filled the air."
},
{
"role": "user",
"content": "Can you suggest any other flowers that have a pleas... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3828:long_explanation_then_specific_followup:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Given the following words, create a d... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3828",
"scenario_id": "long_explanation_then_specific_followup",
"scenario_title": "Long Explanation Then Specific Follow-up",
"scenario_instruction": "Make the assistant provide a fairly detailed middle-turn explanation, then have the user ask a specific fo... |
854:user_attention_test:predictive | [
{
"role": "user",
"content": "Explain the symbolism in this piece of artwork: A painting with a mixture of green, yellow, and red."
},
{
"role": "assistant",
"content": "The painting could represent growth, with green for new beginnings, yellow for joy, and red for passion. Culturally, green oft... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "854:user_attention_test:predictive:p1:first_user",
"family": "first_user_request",
"question": "What was the user's first request in this conversation?",
"answer": "Explain the symbolism in this piece of artwork: A painting... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "854",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must ... |
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