instance_id int64 0 566 | prompt stringclasses 6
values | chunks stringlengths 14.8k 169k | questions_and_answers stringlengths 312 27.6k | data_source stringclasses 8
values | metadata stringclasses 8
values | num_chunks int64 5 30 | num_questions int64 1 100 |
|---|---|---|---|---|---|---|---|
500 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Please study these classification instances and their labels:\n\nSample: Weight-loss did not differ between groups and was maximal at 6 months , LFD : -3.99 4.1 kg , LCD : -4.31 3.6 kg ( p < 0.001 within groups ) .\n\nLabels: 4\n\nSample: The second que... | [{"question": "Sentence: Improvement in health-related quality of life was greater with roflumilast 250 microg ( -3.4 units [ 0.6 ] ) and roflumilast 500 microg ( -3.5 units [ 0.6 ] ) than with placebo ( -1.8 units [ 0.8 ] ) , although the differences between treatment groups were not significant .\n\nWhat are the labe... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
501 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are some facts I recently discovered:\nTitle: North Hertfordshire\nNorth Hertfordshire is a local government district in Hertfordshire, England. Its council is based in Letchworth.\n\nTitle: Letchworth\nLetchworth, officially Letchworth Garden Cit... | [{"question": "What is the population of the city where the North Hertfordshire council is based?", "answer": "33,600"}, {"question": "The accountant was directed by an American actor, screenwriter, film director, and producer, that was born in November 15th, in what year?", "answer": "1957"}, {"question": "What state ... | hotpotqa | {"data_source": "hotpotqa", "metadata": "{}"} | 10 | 14 |
502 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["The following is the event happened about the user Liang Xin on March 10, 2022:\nSummary: graduation\nContent: Liang Ming is Liang Xin's younger brother. He successfully completed his studies at a graduation ceremony held at a university in China on March 10, 2022. As a relative of Liang Ming, Liang Xin specially arr... | [{"question": "What new understanding did Liang Xin gain about her research direction in this seminar?", "answer": "Clearer understanding; Research direction"}, {"question": "What does Liang Xin encourage Zhang Xiao to maintain in a high-pressure environment?", "answer": "Calm"}, {"question": "What relaxation and self-... | perltqa | {"data_source": "perltqa", "metadata": "{\"sub_source\": \"perltqa\"}"} | 30 | 100 |
503 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> Arthur Clennam rose hastily, and saw her standing at the door. This\nhistory must sometimes see with Little Dorrit's eyes, and shall begin\nthat course by seeing him. Little Dorrit looked into a dim room, which seemed a spacious one to\nher, and grandl... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-02-11", "answer": "Arthur Clennam, Little Dorrit, Amy Dorrit, Maggy, Mrs. Clennam, Jeremiah Flintwinch, Affery Flintwinch, Meagles family, Daniel Doyce, Pet Meagles, Tattycoram, Miss Wade, Henry Gowan, Clarence Barnacle, John Chivery, Willi... | booksum | {"data_source": "booksum", "metadata": "{}"} | 20 | 1 |
504 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["The following is the event happened about the user Wang Ming on five years ago:\nSummary: marry\nContent: Five years ago, Wang Ming and Wang Hong got married. They are a happy couple with a lovely daughter. Wang Hong is a gentle and kind-hearted woman who has experienced many beautiful moments with Wang Ming. They su... | [{"question": "Who is Wang Ming\u2019s mentor?", "answer": "Liu Min"}, {"question": "In which field is Wang Xiaoming more professional?", "answer": "Chemistry"}, {"question": "Does Wang Ming want to talk to Li Ming?", "answer": "Yes"}, {"question": "What is the name of the project that Wang Ming and Yang Liang are work... | perltqa | {"data_source": "perltqa", "metadata": "{\"sub_source\": \"perltqa\"}"} | 23 | 100 |
505 | I will provide you with the conversation history between the user and the assistant and I need you to remember the details of the conversation for future reference. | ["[Dialogue at timestamp 2023/04/29 (Sat) 04:40]\n<User>I'm looking for some new hiking boots. Do you have any recommendations for waterproof boots that are good for multi-day backpacking trips? By the way, I just got back from a 3-day solo camping trip to Big Sur in early April and my current boots did okay, but I thi... | [{"question": "How many days did I spend on camping trips in the United States this year?", "answer": "8 days."}, {"question": "How long was I in Japan for?", "answer": "two weeks"}, {"question": "How many amateur comedians did I watch perform at the open mic night?", "answer": "10"}, {"question": "What did I bake for ... | lme_train | {"data_source": "lme_train", "metadata": "{\"sub_source\": \"lme_train\"}"} | 14 | 4 |
506 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["The following is the event happened about the user Lu Yun on June 15, 2022:\nSummary: celebration\nContent: At the opening ceremony of the Frozen store, Lu Sibo, as Lu Yun\u2019s brother, actively participated in the celebrations. He is responsible for arranging live music performances and stage effects to add to the... | [{"question": "What do Lu Sibo and Lu Yun think of Tinder?", "answer": "Successful;Dating application"}, {"question": "What research is Lu Yun doing recently?", "answer": "Military strategy"}, {"question": "How does Professor Wang help design and optimize strategies for cyber literacy education programs?", "answer": "S... | perltqa | {"data_source": "perltqa", "metadata": "{\"sub_source\": \"perltqa\"}"} | 24 | 100 |
507 | I will provide you with the conversation history between the user and the assistant and I need you to remember the details of the conversation for future reference. | ["[Dialogue at timestamp 2023/05/22 (Mon) 22:09]\n<User>I'm considering going back to school for a master's degree, and I was wondering if you could help me find some programs that cater to working professionals in their 30s. Considering the average age of employees in my department is 29.5 years old, I think I'm not t... | [{"question": "How much older am I than the average age of employees in my department?", "answer": "2.5 years"}, {"question": "Which airline did I fly with the most in March and April?", "answer": "United Airlines"}, {"question": "How many pages do I have left to read in 'Sapiens'?", "answer": "The information provided... | lme_train | {"data_source": "lme_train", "metadata": "{\"sub_source\": \"lme_train\"}"} | 18 | 4 |
508 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I've gathered some additional data to share:\nAfter a trend of declining population density since World War II, the city has seen increased density in the inner and western suburbs, aided in part by Victorian Government planning, such as Postcode 3000 a... | [{"question": "How many people did Carlton have per km2 between 2012 and 2013?", "answer": "9,000"}, {"question": "How many people did Fitzroy have per km2 between 2012 and 2013?", "answer": "7,900"}, {"question": "According to the Australian Bureau of Statistics as of June 2013, inner city Melbourne had a population d... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 99 |
509 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I want to tell you about some new discoveries:\nUSB 2.0 provides for a maximum cable length of 5 meters for devices running at Hi Speed (480 Mbit/s). The primary reason for this limit is the maximum allowed round-trip delay of about 1.5 \u03bcs. If USB ... | [{"question": "What year was it announced that only the core specification for Unicode would be printed in physical form?", "answer": "2012"}, {"question": "What is Unicode available through Windows on?", "answer": "Microsoft Layer"}, {"question": "When was the Chengdu Hi-tech Industrial Development Zone established?",... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
510 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Please learn from these labeled classification instances:\n\nSample: Ilioinguinal ( IL ) and iliohypogastric ( IH ) nerve blocks are used in patients with chronic postherniorrhaphy pain .\n\nLabels: 0\n\nSample: The combined regimen was well tolerated ,... | [{"question": "Sentence: Immunogenicity was further improved with booster dosing .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "1"}, {"question": "Sentence: One hundred twenty-six patients with advanced symptomatic pancreas cancer completed a lead-in period to characterize and stabilize ... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
511 | I will provide you with classification training examples for NLU. Please analyze each chunk and store the classification patterns and labels to answer test questions correctly. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Please observe these classification examples and their associated labels:\nSentence: cancel alarm for tenth of march two thousand seventeen\nLabel: 2\n\nSentence: what is a x\nLabel: 45\n\nSentence: more light\nLabel: 3\n\nSentence: lower the volume on ... | [{"question": "Sentence: fight me in street fighter\nWhat are the labels for the above sentence?", "answer": "43"}, {"question": "Sentence: i have to tell you about my day\nWhat are the labels for the above sentence?", "answer": "66"}, {"question": "Sentence: is meryl streep an actress or singer\nWhat are the labels fo... | icl_nlu_8296shot_balance | {"data_source": "icl_nlu_8296shot_balance", "metadata": "{\"sub_source\": \"icl_nlu_8296shot_balance\"}"} | 10 | 100 |
512 | I will provide you with classification training examples for NLU. Please analyze each chunk and store the classification patterns and labels to answer test questions correctly. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>The following are classification training examples with labels:\nSentence: what is the average speed on main highway\nLabel: 32\n\nSentence: new mail to mom\nLabel: 50\n\nSentence: no, incorrect.\nLabel: 23\n\nSentence: how do i get from where i'm at to... | [{"question": "Sentence: fight me in street fighter\nWhat are the labels for the above sentence?", "answer": "43"}, {"question": "Sentence: i have to tell you about my day\nWhat are the labels for the above sentence?", "answer": "66"}, {"question": "Sentence: is meryl streep an actress or singer\nWhat are the labels fo... | icl_nlu_8296shot_balance | {"data_source": "icl_nlu_8296shot_balance", "metadata": "{\"sub_source\": \"icl_nlu_8296shot_balance\"}"} | 10 | 100 |
513 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> CHAPTER X\n\n\n\n Can such things be,\n And overcome us like a summer's cloud,\n Without our special wonder? MACBETH\n\nOn the next morning, Emily ordered a fire to be lighted in the stove\nof the chamber, where St. Aubert used to sleep; and, as so... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-01-09", "answer": "Emily, St. Aubert, Valancourt, Madame Cheron, La Vallee, Tholouse, father's old bedchamber, burning papers, promise to burn, father's ghost, miniature of beautiful woman, purse in cabinet, conscience struggle, nature, lov... | booksum | {"data_source": "booksum", "metadata": "{}"} | 5 | 1 |
514 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> SCENE III. Rome. The Forum\n\nEnter seven or eight citizens\n\n FIRST CITIZEN. Once, if he do require our voices, we ought not\nto\n deny him. SECOND CITIZEN. We may, sir, if we will. THIRD CITIZEN. We have power in ourselves to do it, but it is a\... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-01-10", "answer": "Coriolanus, Menenius, Brutus, Sicinius, Titus Lartius, Tullus Aufidius, plebeians, patricians, Senators, consulship, candidacy, marketplace, Capitol, Rome, Volsces, peace treaty, military scars, robes of office, arrogance... | booksum | {"data_source": "booksum", "metadata": "{}"} | 5 | 1 |
515 | I will provide you with the conversation history between the user and the assistant and I need you to remember the details of the conversation for future reference. | ["[Dialogue at timestamp 2023/01/30 (Mon) 01:30]\n<User>I'm looking for some information on cancer research and the latest developments in the field. By the way, I attended a charity gala organized by the Cancer Research Foundation at a fancy hotel in downtown today, where the event raises over $100,000 for cancer rese... | [{"question": "What charity event did I participate in a month ago?", "answer": "the 'Walk for Hunger' charity event"}, {"question": "I wanted to follow up on our previous conversation about fracking in the Marcellus Shale region. You mentioned that some states require fracking companies to monitor groundwater quality ... | lme_train | {"data_source": "lme_train", "metadata": "{\"sub_source\": \"lme_train\"}"} | 12 | 4 |
516 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> AT THE \"ADMIRAL BENBOW\"\n\n\nSquire Trelawney, Doctor Livesey, and the rest of these gentlemen having\nasked me to write down the whole particulars about Treasure Island, from\nthe beginning to the end, keeping nothing back but the bearings of the\ni... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-01-17", "answer": "Jim Hawkins, Squire Trelawney, Dr. Livesey, Admiral Benbow Inn, the captain, Billy Bones, Black Dog, Pew, Mrs. Hawkins, Mr. Dance, Bristol, treasure island, sea chest, sealed packet, treasure map, Flint's crew, pirate Fli... | booksum | {"data_source": "booksum", "metadata": "{}"} | 9 | 1 |
517 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are categorized examples with their respective labels:\n\nSample: Each subject was submitted to a total of twelve 30-second grade III mobilizations , 6 for each ankle , in a single treatment session .\n\nLabels: 2\n\nSample: A meta-analysis was per... | [{"question": "Sentence: Both doses of IV montelukast demonstrated a significant increase in average FEV ( 1 ) compared with placebo within 10 minutes of administration ( p < .001 to p < .01 ) .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "4"}, {"question": "Sentence: All surgeries were ... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
518 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>The following are some new knowledge:\nTitle: Ketel One\nKetel (Dutch for: \"Pot still\") One is a liquor brand of the Nolet Distillery in Schiedam, the Netherlands. Ketel One Vodka is distilled from 100% wheat in copper pot stills, filtered over loose... | [{"question": "What do Goodbye Mr. Mackenzie and Volcano Suns have in common?", "answer": "rock group"}, {"question": "What clan, hailing from a 13th century tower house, did Alexander Fraser of Touchfraser and Cowie descend from?", "answer": "Clan Fraser"}, {"question": "Hopwood Park Services includes a chain of Briti... | hotpotqa | {"data_source": "hotpotqa", "metadata": "{}"} | 8 | 13 |
519 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are some facts I recently discovered:\nAFL Global and Ganlan Media were created in 2012 by businessman Martin E. Judge, founder and owner of the Judge Group. The company, called AFL Global, LLC, looks to introduce and launch professional Arena Foot... | [{"question": "What genre of music was was listening to by a different demographic than hard rock?", "answer": "disco"}, {"question": "What style was the church rebuilt in?", "answer": "Romanesque"}, {"question": "Where was Corey Moss' article published?", "answer": "MTV's website"}, {"question": "In what year did the ... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
520 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I'm sharing some classification data with labels for you to learn:\n\nSample: Specifically , the odds of having an MDD decreased by 8.2 % for each year delay in smoking initiation .\n\nLabels: 4\n\nSample: Elevation of blood pressure ( BP ) increases th... | [{"question": "Sentence: After ITB , the H/M ratio significantly decreased ( left : 0.67 + / -0.47 to 0.15 + / -0.18 , P = 0.005 ; right : 0.55 + / -0.32 to 0.14 + / -0.19 , P = 0.002 ) without placebo effect .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "4"}, {"question": "Sentence: The... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
521 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are training examples for classification. Note the labels carefully:\n\nSample: Osteocalcin levels , also comparable at baseline in the two groups , were significantly lower in tamoxifen-treated subjects at 5 years ( P = .0005 ) .\n\nLabels: 4\n\nS... | [{"question": "Sentence: Sinus lifting procedure performed with Piezosurgery causes less pain and swelling postoperatively compared with conventional technique .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "1"}, {"question": "Sentence: The neurotransmitter dopamine plays a key role in co... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
522 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I'd like to share some important information:\nThe Holocaust (which roughly means \"burnt whole\") was the deliberate and systematic murder of millions of Jews and other \"unwanted\" during World War II by the Nazi regime in Germany. Several differing v... | [{"question": "During what word event did the Holocaust happen?", "answer": "during World War II"}, {"question": "By what percentage did the world's per-capita gross domestic product grow by during the 20th century?", "answer": "a factor of five"}, {"question": "What has Modern medicine increased the average life expec... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 93 |
523 | I will provide you with classification training examples for NLU. Please analyze each chunk and store the classification patterns and labels to answer test questions correctly. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>The following classification examples include important label information:\nSentence: fast\nLabel: 31\n\nSentence: how long do i roast chicken breasts\nLabel: 65\n\nSentence: i need more light\nLabel: 3\n\nSentence: status of my inbox\nLabel: 14\n\nSent... | [{"question": "Sentence: fight me in street fighter\nWhat are the labels for the above sentence?", "answer": "43"}, {"question": "Sentence: i have to tell you about my day\nWhat are the labels for the above sentence?", "answer": "66"}, {"question": "Sentence: is meryl streep an actress or singer\nWhat are the labels fo... | icl_nlu_8296shot_balance | {"data_source": "icl_nlu_8296shot_balance", "metadata": "{\"sub_source\": \"icl_nlu_8296shot_balance\"}"} | 10 | 100 |
524 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are some new facts I learnt just now:\nTitle: Curtain Theatre\nThe Curtain Theatre was an Elizabethan playhouse located in Hewett Street, Shoreditch (part of the modern London Borough of Hackney), just outside the City of London. It opened in 1577... | [{"question": "Cindy O'Callaghan played Carrie Rawlins in a 1971 British-American musical fantasy film that was based upon books by who?", "answer": "Mary Norton."}, {"question": "The opera from which 890 Waltraut got it's name premiered in what year?", "answer": "1876"}, {"question": "In which year was this institutio... | hotpotqa | {"data_source": "hotpotqa", "metadata": "{}"} | 9 | 17 |
525 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>The following are classification examples with their corresponding labels:\n\nSample: Emergency department of a major regional hospital in Hong Kong .\n\nLabels: 2\n\nSample: We conducted a randomized , double-blind , placebo-controlled trial of etanerc... | [{"question": "Sentence: Patients in the SMC group received stage-matched intervention at different stages of behavior changes , and the SC group received only routine care .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "2"}, {"question": "Sentence: The biphasic group required significant... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
526 | I will provide you with classification training examples for NLU. Please analyze each chunk and store the classification patterns and labels to answer test questions correctly. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>These are labeled examples for classification tasks:\nSentence: you rock, thank you so much, olly.\nLabel: 64\n\nSentence: get me to my friends list\nLabel: 29\n\nSentence: how many pounds would i get for dollars\nLabel: 55\n\nSentence: what movie theat... | [{"question": "Sentence: fight me in street fighter\nWhat are the labels for the above sentence?", "answer": "43"}, {"question": "Sentence: i have to tell you about my day\nWhat are the labels for the above sentence?", "answer": "66"}, {"question": "Sentence: is meryl streep an actress or singer\nWhat are the labels fo... | icl_nlu_8296shot_balance | {"data_source": "icl_nlu_8296shot_balance", "metadata": "{\"sub_source\": \"icl_nlu_8296shot_balance\"}"} | 10 | 100 |
527 | I will provide you with the conversation history between the user and the assistant and I need you to remember the details of the conversation for future reference. | ["[Dialogue at timestamp 2023/03/18 (Sat) 07:18]\n<User>I'm planning to buy some new concert merchandise online. Can you recommend some popular websites to find cool Billie Eilish gear? By the way, I just got back from an amazing Billie Eilish concert at the Wells Fargo Center in Philly with my sister today, and I'm st... | [{"question": "Who did I go with to the music event last Saturday?", "answer": "my parents"}, {"question": "I was thinking about our previous conversation about data privacy and security. You mentioned that companies use two-factor authentication to enhance security. Can you remind me what kind of two-factor authentica... | lme_train | {"data_source": "lme_train", "metadata": "{\"sub_source\": \"lme_train\"}"} | 12 | 4 |
528 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> HALFWAY down a by-street of one of our New England towns stands a rusty\nwooden house, with seven acutely peaked gables, facing towards various\npoints of the compass, and a huge, clustered chimney in the midst. The\nstreet is Pyncheon Street; the hous... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-01-12", "answer": "House of the Seven Gables, Pyncheon House, Pyncheon Street, Maule's Lane, Colonel Pyncheon, Matthew Maule, witchcraft trial, natural spring, polluted spring, execution, family mansion, bloody hand, lattice-window, lieuten... | booksum | {"data_source": "booksum", "metadata": "{}"} | 7 | 1 |
529 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Please memorize these classification examples and their labels:\n\nSample: Future vaccines against travellers ' diarrhoea might need to include several antigens against various diarrhoeal pathogens , and might need to be able to generate mucosal and hig... | [{"question": "Sentence: Two hundred ten patients were entered into a double-blinded , prospective , randomized study to receive either 10 g of fibrinolytic inhibitor tranexamic acid before incision ( n = 104 ) or 250 mL of placebo saline solution ( n = 106 ) .\n\nWhat are the labels for the above medical abstract sent... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
530 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>There are some important details I learned:\nTitle: Racing slick\nA racing slick (also known as a \"slick tyre\") is a type of tyre that has a smooth tread used mostly in auto racing. The first production \"slick tyre\" was developed by M&H Tires in th... | [{"question": "Which guitarist and vocalist was in the Eagles and Hearts & Flowers?", "answer": "Bernie Leadon"}, {"question": "Who wrote a novel named after the most famous peak in the Great Balsam Mountains?", "answer": "Charles Frazier"}, {"question": "A famous sexual harassment class-action lawsuit of the 1980s occ... | hotpotqa | {"data_source": "hotpotqa", "metadata": "{}"} | 9 | 11 |
531 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["The following is the event happened about the user Qin Meng on This year\u2019s Metgala dinner:\nSummary: Attend the Metgala Dinner\nContent: Qin Meng\u2019s mother Qin Mu was also invited to attend this year\u2019s Metgala dinner. As a member of Qin Meng's family, Qin's mother is proud of Qin Meng's achievements and... | [{"question": "Did Qin Meng hear about today\u2019s environmental protection campaign in the community?", "answer": "Yes;Environmental protection campaign"}, {"question": "What kind of clothes did Mother Qin wear at the dinner?", "answer": "Gorgeous;Long dress"}, {"question": "What dinner did Mother Qin attend?", "answ... | perltqa | {"data_source": "perltqa", "metadata": "{\"sub_source\": \"perltqa\"}"} | 23 | 100 |
532 | I will provide you with classification training examples for NLU. Please analyze each chunk and store the classification patterns and labels to answer test questions correctly. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>The following are classification training examples with labels:\nSentence: this is one of the best songs for me\nLabel: 59\n\nSentence: start playing the hobbit\nLabel: 54\n\nSentence: do you have any suggestion action movies\nLabel: 37\n\nSentence: ope... | [{"question": "Sentence: fight me in street fighter\nWhat are the labels for the above sentence?", "answer": "43"}, {"question": "Sentence: i have to tell you about my day\nWhat are the labels for the above sentence?", "answer": "66"}, {"question": "Sentence: is meryl streep an actress or singer\nWhat are the labels fo... | icl_nlu_8296shot_balance | {"data_source": "icl_nlu_8296shot_balance", "metadata": "{\"sub_source\": \"icl_nlu_8296shot_balance\"}"} | 10 | 100 |
533 | I will provide you with the conversation history between the user and the assistant and I need you to remember the details of the conversation for future reference. | ["[Dialogue at timestamp 2023/05/21 (Sun) 13:14]\n<User>I'm trying to figure out the best way to care for my peace lily, which I got from the nursery two weeks ago along with a succulent. It's been losing some leaves, but I've read that's normal. Do you have any general tips for keeping it healthy?\n<Assistant>Congratu... | [{"question": "How many plants did I acquire in the last month?", "answer": "3"}, {"question": "How many playlists do I have on Spotify?", "answer": "20"}, {"question": "How many bikes do I own?", "answer": "three"}, {"question": "How many skeins of worsted weight yarn did I find in my stash?", "answer": "17"}] | lme_train | {"data_source": "lme_train", "metadata": "{\"sub_source\": \"lme_train\"}"} | 12 | 4 |
534 | I will provide you with classification training examples for TREC-C. Please analyze each chunk and store the classification patterns and labels to answer test questions correctly. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are some classification examples to learn from. Please pay attention to the labels:\nSentence: When did World War I start ?\nLabel: 4\n\nSentence: What Caribbean island is sometimes called Little England ?\nLabel: 5\n\nSentence: How big is a normal... | [{"question": "Sentence: What is the population of Venezuela ?\nWhat are the labels for the above sentence?", "answer": "4"}, {"question": "Sentence: What does target heart rate mean ?\nWhat are the labels for the above sentence?", "answer": "3"}, {"question": "Sentence: What currency does Luxembourg use ?\nWhat are th... | icl_trec_coarse_6600shot_balance | {"data_source": "icl_trec_coarse_6600shot_balance", "metadata": "{\"sub_source\": \"icl_trec_coarse_6600shot_balance\"}"} | 10 | 100 |
535 | I will provide you with the conversation history between the user and the assistant and I need you to remember the details of the conversation for future reference. | ["[Dialogue at timestamp 2023/01/30 (Mon) 01:52]\n<User>I'm looking for some information on cancer research and the latest developments in the field. By the way, I attended a charity gala organized by the Cancer Research Foundation at a fancy hotel in downtown today, where the event raises over $100,000 for cancer rese... | [{"question": "How many months have passed since I participated in two charity events in a row, on consecutive days?", "answer": "2"}, {"question": "I was looking back at our previous conversation about Caribbean dishes and I was wondering, what was the name of that Jamaican dish you recommended I try with snapper that... | lme_train | {"data_source": "lme_train", "metadata": "{\"sub_source\": \"lme_train\"}"} | 13 | 4 |
536 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> IT still lacked half an hour of sunrise, when Miss Hepzibah\nPyncheon--we will not say awoke, it being doubtful whether the poor\nlady had so much as closed her eyes during the brief night of\nmidsummer--but, at all events, arose from her solitary pill... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-01-21", "answer": "Hepzibah, Colonel Pyncheon, Holgrave, daguerreotypist, cent-shop, Judge Jaffrey Pyncheon, Clifford, Uncle Venner, Phoebe, Pyncheon house, miniature portrait, faded carpet, high-backed chair, Puritan ancestor, living room,... | booksum | {"data_source": "booksum", "metadata": "{}"} | 10 | 1 |
537 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["The following is the event happened about the user Xia Tong on March 15, 2022:\nSummary: Culinary Journey\nContent: Xia Tong and her brother Xia Zhongtian often travel together and share every detail of their lives. Recently, they decided to embark on a food tour to explore the specialties of different places. Their ... | [{"question": "What did Xia Tong share at the SparkSocial press conference?", "answer": "Atmospheric science;Research results"}, {"question": "What did Xia Tong and Liu Li share during their conversation?", "answer": "Travel experiences;Advice"}, {"question": "What did Xia Tong and Zhang Xiao do at the party?", "answer... | perltqa | {"data_source": "perltqa", "metadata": "{\"sub_source\": \"perltqa\"}"} | 24 | 100 |
538 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I just discovered some interesting information:\nAsian Americans in New York City, according to the 2010 Census, number more than one million, greater than the combined totals of San Francisco and Los Angeles. New York contains the highest total Asian p... | [{"question": "What type of food is NYC's leading food export?", "answer": "Chocolate"}, {"question": "Which tunnel do 120,000 vehicles travel through a day in NYC?", "answer": "The Lincoln Tunnel"}, {"question": "How many people came to visit New York in 2013?", "answer": "54 million"}, {"question": "As of 2013, how m... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
539 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Let me tell you about some new developments:\nIn contrast, Roman expansion into Spain and Gaul occurred as a mix of alliance-seeking and military occupation. In the 2nd century BC, Roman involvement in the Greek east remained a matter of alliance-seekin... | [{"question": "Which individual lost his home to a fire?", "answer": "Cicero"}, {"question": "What political party did Lucius Cornelius Sulla belong to?", "answer": "populares"}, {"question": "Who held a term as praetor in the Iberian Peninsula?", "answer": "Julius Caesar"}, {"question": "Which tribune was impeached b... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
540 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> _Same day, 11 o'clock p. m._--Oh, but I am tired! If it were not that I\nhad made my diary a duty I should not open it to-night. We had a lovely\nwalk. Lucy, after a while, was in gay spirits, owing, I think, to some\ndear cows who came nosing towards ... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-01-09", "answer": "Mina, Lucy, churchyard, favorite bench, dark figure, pale face, red eyes, shawl, two little red points, sleepwalking, locked bedroom door, graveyard, bat, moonlight, puncture wounds, Lucy's failing health, Lucy's mother, ... | booksum | {"data_source": "booksum", "metadata": "{}"} | 5 | 1 |
541 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["The following is the event happened about the user Xu Hui on May 15, 2022:\nSummary: Support Xu Hui\u2019s academic career\nContent: At a family gathering with Xu Liang, Xu Hui shared with Xu Liang the outstanding paper award she had recently received at a research institution. Xu Liang was very happy when he heard i... | [{"question": "What results did this discussion make Mr. Wang have on the information entropy theory?", "answer": "Deeper understanding; Information entropy theory"}, {"question": "Is there any new progress in maintaining social stability and ethnic unity in Xinjiang?", "answer": "Counter-Terrorism; Extremism; Social S... | perltqa | {"data_source": "perltqa", "metadata": "{\"sub_source\": \"perltqa\"}"} | 23 | 100 |
542 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> Until the day arrived on which I was to entertain my newly-found\nold friends, I lived principally on Dora and coffee. In my love-lorn\ncondition, my appetite languished; and I was glad of it, for I felt\nas though it would have been an act of perfidy ... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-01-11", "answer": "Mr. Micawber, Mrs. Micawber, Traddles, David, Mrs. Crupp, Steerforth, Littimer, Peggotty, Mr. Barkis, dinner party, David's apartment, undercooked dinner, re-cooking meat, brewing business prospects, lending name, credit,... | booksum | {"data_source": "booksum", "metadata": "{}"} | 6 | 1 |
543 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I'd like to share some important information:\nThe Ming initiated sporadic armed intervention in Tibet during the 14th century, but did not garrison permanent troops there. At times the Tibetans also used armed resistance against Ming forays. The Wanli ... | [{"question": "What did the Tibetans use against Ming forays?", "answer": "armed resistance"}, {"question": "Who were the armed protectors for the Gelug Dalai Lama?", "answer": "the Mongols"}, {"question": "When was the Mongol-Tibetan alliance started?", "answer": "1578"}, {"question": "When did the Five Dynasties and ... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 83 |
544 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>The following are classification examples with their corresponding labels:\n\nSample: Both routes ameliorate significantly the symptoms after 1 year of treatment ( p < 0.0001 ) .\n\nLabels: 4\n\nSample: Mean blood glucose levels were significantly highe... | [{"question": "Sentence: Patients who underwent computer-assisted minimally invasive total knee arthroplasty had a significantly longer operative time ( by a mean of twenty-four minutes ) and a significantly shorter inpatient stay ( 3.3 compared with 4.5 days ) in comparison with those who underwent conventional arthro... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
545 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I'd like to tell you about some recent findings:\nTitle: White Town\nWhite Town is a British musical act and is a solo project of Jyoti Prakash Mishra. His song \"Your Woman\" reached number one in the UK Singles Chart in January 1997. It also peaked ... | [{"question": "What British musical act had a number one hit in 1997 in the UK and recorded all the tracks on their debut album on an 8-track recorder?", "answer": "White Town"}, {"question": "Who is the author of the novel which provided the inspiration for a film shown at the opening of the 64th annual Venice Intern... | hotpotqa | {"data_source": "hotpotqa", "metadata": "{}"} | 9 | 12 |
546 | I will provide you with classification training examples for TREC-C. Please analyze each chunk and store the classification patterns and labels to answer test questions correctly. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I'm providing classification data with labels for your reference:\nSentence: How does one correctly pronounce ` qigong ' ?\nLabel: 3\n\nSentence: How do boats float ?\nLabel: 3\n\nSentence: How hot should the oven be when making Peachy Oat Muffins ?\nLa... | [{"question": "Sentence: What is the population of Venezuela ?\nWhat are the labels for the above sentence?", "answer": "4"}, {"question": "Sentence: What does target heart rate mean ?\nWhat are the labels for the above sentence?", "answer": "3"}, {"question": "Sentence: What currency does Luxembourg use ?\nWhat are th... | icl_trec_coarse_6600shot_balance | {"data_source": "icl_trec_coarse_6600shot_balance", "metadata": "{\"sub_source\": \"icl_trec_coarse_6600shot_balance\"}"} | 10 | 100 |
547 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are some facts I recently discovered:\nApple was initially reluctant to embrace mice with multiple buttons and scroll wheels. Macs did not natively support pointing devices that featured multiple buttons, even from third parties, until Mac OS X arr... | [{"question": "What is possible to run by using Boot camp, even though it is not condoned by Apple?", "answer": "the Linux operating system"}, {"question": "What is another term for anti-aircraft warfare?", "answer": "counter-air defence"}, {"question": "How many bombs did the three aircraft drop on the city?", "answer... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
548 | I will provide you with classification training examples for TREC-C. Please analyze each chunk and store the classification patterns and labels to answer test questions correctly. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>The following are classification training examples with labels:\nSentence: What do Englishmen weigh themselves in ?\nLabel: 4\n\nSentence: What is AFS ?\nLabel: 2\n\nSentence: What were first used by John L. Sullivan and James J. Corbett in 1892 ?\nLabe... | [{"question": "Sentence: What is the population of Venezuela ?\nWhat are the labels for the above sentence?", "answer": "4"}, {"question": "Sentence: What does target heart rate mean ?\nWhat are the labels for the above sentence?", "answer": "3"}, {"question": "Sentence: What currency does Luxembourg use ?\nWhat are th... | icl_trec_coarse_6600shot_balance | {"data_source": "icl_trec_coarse_6600shot_balance", "metadata": "{\"sub_source\": \"icl_trec_coarse_6600shot_balance\"}"} | 10 | 100 |
549 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are some news I learnt earlier:\nOn July 1, 2014, the University of Notre Dame and Under Armour reached an agreement in which Under Armour will provide uniforms, apparel,equipment, and monetary compensation to Notre Dame for 10 years. This contract... | [{"question": "After leaving Destiny's Child, how many records did Beyonc\u00e9 release under her own name?", "answer": "118 million"}, {"question": "As of April 2014, how many albums have Jay Z and Beyonce sold together?", "answer": "300 million"}, {"question": "What did she sing at the 2009 Presidential Inauguration?... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
550 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Please observe these classification examples and their associated labels:\n\nSample: Dysfunction is associated with various chronic pain states .\n\nLabels: 0\n\nSample: Whether gender differences exist in procedure-related adverse events following card... | [{"question": "Sentence: To compare a hydrophobic and a hydrophilic acrylic single-piece intraocular lens ( IOL ) in uveitis patients with respect to biocompatibility and visual outcome .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "0"}, {"question": "Sentence: A level I adult trauma cen... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
551 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> We were eighteen days travelling to Riolama, on the last two making\nlittle progress, on account of continuous rain, which made us miserable\nbeyond description. Fortunately the dogs had found, and Nuflo had\nsucceeded in killing, a great ant-eater, so... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-01-11", "answer": "Abel, Rima, Nuflo, cave, Rima's mother, mountain, bird people, hostile Indians, unconsciousness, salvation, afterlife, mysterious language, declaration of love, forest, green mansions, white dress, separation, journey alo... | booksum | {"data_source": "booksum", "metadata": "{}"} | 6 | 1 |
552 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I have some interesting updates for you:\nIn Australia, nonprofit organisations include trade unions, charitable entities, co-operatives, universities and hospitals, mutual societies, grass-root and support groups, political parties, religious groups, i... | [{"question": "Other than rice, what would be another example of an incomplete protein source?", "answer": "beans"}, {"question": "Which dietary component was not fed to dogs resulting in their death?", "answer": "protein"}, {"question": "Who separated the neighborhoods in the early 2000's?", "answer": "Downtown Raleig... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
553 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I have some interesting updates for you:\nThe university employs 3,401 full-time faculty members across its eleven schools, including 18 members of the National Academy of Sciences, 65 members of the American Academy of Arts and Sciences, 19 members of ... | [{"question": "Who represented Rivera's Colorados?", "answer": "Colorado Party"}, {"question": "How many rooms does The Radisson Montevideo have?", "answer": "232"}, {"question": "When was World Trade Center 2 inaugurated?", "answer": "2002"}, {"question": "What had many of the city's barrios previously been?", "answer... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
554 | I will provide you with the conversation history between the user and the assistant and I need you to remember the details of the conversation for future reference. | ["[Dialogue at timestamp 2023/03/17 (Fri) 10:36]\n<User>I'm planning a birthday party for my niece, Olivia, who's turning 6 soon. Can you give me some theme ideas and decoration suggestions for a kindergarten-aged girl's party? By the way, I've been busy with my sister-in-law's twins, Jackson and Julia, who were born o... | [{"question": "Who became a parent first, Rachel or Alex?", "answer": "Alex"}, {"question": "What is the total number of views on my most popular videos on YouTube and TikTok?", "answer": "1,998"}, {"question": "How long have I been using my Fitbit Charge 3?", "answer": "9 months"}, {"question": "How many women are on ... | lme_train | {"data_source": "lme_train", "metadata": "{\"sub_source\": \"lme_train\"}"} | 17 | 4 |
555 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are some examples with classification labels to remember:\n\nSample: The maximal values of SBP , HR and RPP during the observation ( from the beginning of intravenous anesthetic induction to 5 minutes after intubation ) were significantly higher th... | [{"question": "Sentence: On the other hand , significantly more problems relating to impairment of job performance were encountered with subjects on oxazepam .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "4"}, {"question": "Sentence: Twelve men with chronic stable angina , a positive exe... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
556 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I want you to learn from these classified examples:\n\nSample: The incidence of epidural venous puncture in each group was compared .\n\nLabels: 2\n\nSample: During open-label treatment , all subjects received fesoterodine 8 mg for an initial 4 weeks , ... | [{"question": "Sentence: The HRs representing the HDC/IL -2 effects on LFS and OS were strongly correlated at the country level ( R = 0.84 ) .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "4"}, {"question": "Sentence: Mean age of study participants was 66.7 ( 8.0 ) years .\n\nWhat are the... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
557 | I will provide you with classification training examples for NLU. Please analyze each chunk and store the classification patterns and labels to answer test questions correctly. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>These examples show different classes - please note the labels:\nSentence: adjust sound\nLabel: 28\n\nSentence: change the time\nLabel: 42\n\nSentence: send an email to mom asking if she was able to order the book from amazon that i told her about\nLabe... | [{"question": "Sentence: fight me in street fighter\nWhat are the labels for the above sentence?", "answer": "43"}, {"question": "Sentence: i have to tell you about my day\nWhat are the labels for the above sentence?", "answer": "66"}, {"question": "Sentence: is meryl streep an actress or singer\nWhat are the labels fo... | icl_nlu_8296shot_balance | {"data_source": "icl_nlu_8296shot_balance", "metadata": "{\"sub_source\": \"icl_nlu_8296shot_balance\"}"} | 10 | 100 |
558 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I'm providing classification data with labels for your reference:\n\nSample: These findings extend results found in selected middle aged patients to elderly patients with heart failure and show that ventilatory parameters from a cardiopulmonary exercise... | [{"question": "Sentence: The patients were treated with cervical fixed-point traction manipulation ( treatment group ) or cervical computer traction ( control group ) .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "2"}, {"question": "Sentence: There was less angina in the PCI group throug... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
559 | I will provide you with sequential chunks from a book chapter. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Event happened on 2024-01-01 The user is reading a book]\n<User> Chapter V The Enchanted Violin\n\n\nChristine Daae, owing to intrigues to which I will return later, did\nnot immediately continue her triumph at the Opera. After the famous\ngala night, she sang once at the Duchess de Zurich's; but this was the\nlast ... | [{"question": "Summarize the content of the book I read from 2024-01-01 to 2024-01-22", "answer": "M. Firmin Richard, M. Armand Moncharmin, Box Five, Opera Ghost, Christine Daa\u00e9, Margarita, Mme. Giry, Faust performance, letter from Opera Ghost, curse upon Faust, Carlotta, croaks like a toad, chandelier crash, Rich... | booksum | {"data_source": "booksum", "metadata": "{}"} | 12 | 1 |
560 | I will provide you with the conversation history between the user and the assistant and I need you to remember the details of the conversation for future reference. | ["[Dialogue at timestamp 2023/05/26 (Fri) 15:13]\n<User>I'm working on a model of a 1980s-era Ferrari 288 GTO, started it about three weeks ago on a Sunday afternoon, and I'm looking for some tips on how to achieve a more realistic paint finish.\n<Assistant>What a great project! The Ferrari 288 GTO is an iconic superca... | [{"question": "Which project did I start first, the Ferrari model or the Porsche 991 Turbo S model?", "answer": "The information provided is not enough. You did not mention starting the Porsche 991 Turbo S model."}, {"question": "What is the total number of comments on my recent Facebook Live session and my most popula... | lme_train | {"data_source": "lme_train", "metadata": "{\"sub_source\": \"lme_train\"}"} | 16 | 4 |
561 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are some facts I recently discovered:\nIn mid-1944 Japan mobilized over 500,000 men and launched a massive operation across China under the code name Operation Ichi-Go, their largest offensive of World War II, with the goal of connecting Japanese-... | [{"question": "When was the island of Iwo Jima secured by the Americans?", "answer": "26 March"}, {"question": "How many destroyers were in the U.S. Third Fleet?", "answer": "63"}, {"question": "How many troops had the Japanese lost?", "answer": "50,000"}, {"question": "To where was the canal designed by Washington int... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
562 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I'd like to tell you about some recent findings:\nRenewable energy is also the most economic solution for new grid-connected capacity in areas with good resources. As the cost of renewable power falls, the scope of economically viable applications incre... | [{"question": "Who believes that the market does not value nature's service adequately?", "answer": "Lester Brown"}, {"question": "During which historical period was the wall circuit expanded?", "answer": "medieval"}, {"question": "What is the only remaining waterway in Palermo?", "answer": "Oreto river"}, {"question":... | squad | {"data_source": "squad", "metadata": "{\"sub_source\": \"squad\"}"} | 10 | 100 |
563 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Here are some facts I recently discovered:\nTitle: George Wickham\nGeorge Wickham is a fictional character created by Jane Austen who appears in her novel \"Pride and Prejudice\", published in 1813. George Wickham is introduced as a militia officer who... | [{"question": "In what 2016 film did Chad Willett star in with Danny Glover?", "answer": "Monster Trucks"}, {"question": "Rush City was packaged with a magazine that is a subsidiary of which media, events, and research technology group?", "answer": "International Data Group"}, {"question": "In what region of Italy did ... | hotpotqa | {"data_source": "hotpotqa", "metadata": "{}"} | 9 | 21 |
564 | I will provide you with sequential information chunks. Please analyze each chunk and decide what memory operations to perform to store this information effectively. Use memory_insert, memory_update, or memory_delete operations as needed. | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>I'd like to share some important information:\nTitle: Fastook Glacier\nFastook Glacier ( ) is a southern tributary to Mulock Glacier about 20 nmi long and 5 nmi wide. It heads on the north side of Longhurst Plateau in the Cook Mountains and flows north... | [{"question": "In what city is the university whose Department of Computer Sciences had James L. Fastook located?", "answer": "Orono, Maine"}, {"question": "What is the total population in 2010 census's of a the town where there is a private non-profit college located in New Hampshire accredited by the New England Asso... | hotpotqa | {"data_source": "hotpotqa", "metadata": "{}"} | 7 | 20 |
565 | You are a scientific document classifier. I will provide you with chunks of medical abstracts. Each chunk is labeled with a number. The meaning of each label must be learned from context — you will not be told what each number represents explicitly.
Your task has two steps:
1. **Memorize label mappings**: As you read... | ["[Dialogue between User and Assistant on 2024-01-01 00:00]\n<User>Please memorize these classification examples and their labels:\n\nSample: The results demonstrated that both the manual toothbrush and the SynchroSonic powered toothbrush were safe , with no evidence of clinically significant hard or soft tissue abrasi... | [{"question": "Sentence: Adverse events occurred in 62.4 % of onabotulinumtoxinA patients and 51.7 % of placebo patients .\n\nWhat are the labels for the above medical abstract sentence?", "answer": "4"}, {"question": "Sentence: This is the first randomized controlled exercise study in uraemic RLS patients .\n\nWhat ar... | pubmed-rct | {"data_source": "pubmed-rct", "metadata": "{}"} | 10 | 100 |
566 | I will provide you with the conversation history between the user and the assistant and I need you to remember the details of the conversation for future reference. | ["[Dialogue at timestamp 2023/05/22 (Mon) 00:41]\n<User>I'm looking to get some advice on managing my time more efficiently. Lately, I've been working long hours on a high-priority project and my commute has increased, leaving me with little time for personal life. Do you have any tips on how to prioritize tasks and ma... | [{"question": "How long have I been working before I started my current job at NovaTech?", "answer": "4 years and 9 months"}, {"question": "How many Instagram followers do I currently have?", "answer": "600"}, {"question": "What was my previous goal for my Apex Legends level before I updated my goal?", "answer": "level... | lme_train | {"data_source": "lme_train", "metadata": "{\"sub_source\": \"lme_train\"}"} | 16 | 4 |
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