inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Q: Beginning: Kate had been working out for months. Middle 1: Kate gave up on working out after an injury and ate a bunch of diet food. Middle 2: Kate gave up on working out and ate a bunch of junk food. Ending: Kate was ashamed of what she had done.
A: 1
****
Q: Beginning: The baby managed to get out of the tent. Middle 1: His dad saw him floating in the lake. Middle 2: His mom saw him floating in the lake. Ending: He managed to pull the baby out within minutes.
A: 2
****
Q: Beginning: Sean came over today. Middle 1: Sean brought me food. Middle 2: Sean brought me nothing. Ending: I was really pleased.
A: | 2
****
| 4 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
0.14694306254386902,
0.403348445892334,
-0.06158439442515373,
-0.5272809863090515,
-0.3927522599697113,
-0.3576967418193817,
-0.23805785179138184,
1.2807060480117798,
-0.11040067672729492,
-0.20875702798366547,
-0.15184444189071655,
-0.26084181666374207,
-0.758969783782959,
-0.167258635163... |
Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
See one example below:
Problem: He grew up in Evanston, Illinois the second oldest of five children including his brothers, Fred and Gordon and sisters, Marge (Peppy) and Marilyn. His high school days were spent at New Trier High School in Winnetka, Illinois. MacKenzie studied with Bernard Leach from 1949 to 1952. _His_ simple, wheel-thrown functional pottery is heavily influenced by the oriental aesthetic of Shoji Hamada and Kanjiro Kawai. <sep>, Pronoun: His <sep>, A: MacKenzie <sep>, B: Bernard Leach
Solution: A
Explanation: Based on the text, his refers to MacKenzie so option A is correct.
Problem: Brizlee Hill, prior to the tower's erection, is reputed to have been the site of a fire-beacon used to warn of the approach of enemies. The tower is circular in plan, and has four slight rectangular projecting buttresses. An interior newel staircase is lit through windows. The tower is in an elaborate Gothic revival style, the design being variously attributed to Robert Adam or _his_ brother John (who were also employed on other works for the Duke including a remodelling of the interiors of Northumberland House and Syon House in London) and to the Duke himself. <sep>, Pronoun: his <sep>, A: John <sep>, B: Duke
Solution: | Neither | 4 | NIv2 | task329_gap_classification | fs_opt | [
-0.137730672955513,
0.48465466499328613,
0.16611772775650024,
-0.025144582614302635,
0.05887392908334732,
-0.07131613790988922,
0.8024348616600037,
1.4747192859649658,
-0.055491168051958084,
0.004512266255915165,
-0.783328652381897,
0.19814833998680115,
-0.48489904403686523,
-0.31718903779... |
In medical studies, treatments are tested within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that give information about the participants of the study. You should list the phrases in the same order that they appear in the text, separated by commas. If no information about the participants is mentioned, just output "not found". Relevant information about participants include: gender, medical conditions, location, number of people participating. Do not contain participant mentions without relevant information.
One example: A PPARA Polymorphism Influences the Cardiovascular Benefit of Fenofibrate in Type 2 Diabetes: Findings From ACCORD Lipid.
Solution is here: Type 2 Diabetes
Explanation: The only piece of text relevant to participants is "Type 2 Diabetes" which is a medical condition.
Now, solve this: The upper 95 % CL for the differences in positive cultures between the antibiotics was 4.9 % at days 3-6 , 6.5 % at days 12-16 and 8.5 % at days 26-36 .
Solution: | not found | 6 | NIv2 | task179_participant_extraction | fs_opt | [
-0.11514703929424286,
0.38084283471107483,
-0.5014016628265381,
-0.6905686259269714,
-0.072625532746315,
-0.23968461155891418,
0.004632326774299145,
0.818246066570282,
-0.13005411624908447,
0.6105588674545288,
-0.789484977722168,
0.31749579310417175,
-0.3167952597141266,
0.0656293928623199... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
One example: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).
Answer: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential role in the activation and survival of eosinophils during the Th2 immune response. The association of innate lymphoid cells in CRS provides insights into its pathogenesis.
Solution is here: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?
Explanation: The question is based on the following sentences from the two passages (i) Group 2 innate lymphoid cells (ILC2s) {ii) In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (iii) As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. and (iv) ILC2s are also linked with high tissue and blood eosinophilia.
Now, solve this: Context: The safety of silicone breast implants recently has been questioned. Increasing numbers of women have reported a variety of health problems that they attribute to their implants. The purpose of this descriptive study was to explicate the phenomenon of silicone-related illness as reported by women who have had breast implants.', 'A qualitative design was grounded in the theoretical framework proposed by McBride and McBride (1981), the core of which is the first-person, lived experiences of women as interpreted and explained by the women themselves.', 'Participants were recruited through Command Trust Network, an international support group for women with breast implant problems. The sample consisted of 55 women from 19 states and Canada who experienced health problems they attributed to their implants. Eighteen percent labeled themselves as disabled.', 'Themes emerging from responses to 10 questions are discussed in terms of circumstances leading to initial implantation, understanding risks and benefits, health problems and symptoms, physician response, choices made about implant removal, and psychosocial and emotional consequences.
Answer: Findings included dissatisfaction with implants, similarity of health problems, and recurrent surgical and nonsurgical procedures. Dominant themes included lack of informed consent, physician denial of health problems, and the decision to remove implants. Further research should be directed at recipients of implants who report silicone-related illness to determine the number of women affected and the nature of their problems.
Solution: | Do women 's reports of breast implant problems and silicone-related illness? | 6 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.33632779121398926,
0.4163668751716614,
-0.28933587670326233,
-0.05531594157218933,
0.6610997915267944,
-0.5455755591392517,
0.30052170157432556,
0.7019880414009094,
-0.11927901953458786,
0.15746204555034637,
-0.4767451882362366,
0.17101120948791504,
-0.8212710022926331,
0.498147070407867... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
Let me give you an example: ['piątek is the word for Friday in Polish', 'You say Friday in Polish by piątek.']
The answer to this example can be: SIMILAR
Here is why: The classified label of this sentence is a good example since both the sentences share the same RDF structure [['Polish', 'FRIDAY_FIFTH_DAY', 'piątek']] and are essentially conveying the same thing.
OK. solve this:
['Midsummer House, near All Bar One is expensive and one star rated', 'Midsummer House is Located near All Bar One. It is expensive yet only rated one star']
Answer: | SIMILAR | 8 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.39871945977211,
0.590630829334259,
-0.12461980432271957,
-0.07593762874603271,
-0.22243806719779968,
-0.711744487285614,
1.0519973039627075,
-0.0718112587928772,
-0.10837428271770477,
0.08281999826431274,
-0.8361331224441528,
0.5145595073699951,
-0.8413985371589661,
0.5516889691352844,
... |
Part 1. Definition
In this task, you are to Translate German text to English
Part 2. Example
Das Textilband (1) ist insbesondere als (Kreuz-) Band-, Ligament- oder Sehnenersatz einzusetzen.
Answer: The textile band (1) is used particularly as (cross) ligament or tendon replacement.
Explanation: The translation is fluent, formal, and accurate
Part 3. Exercise
Im Kokillenkörper 1 sind sich von dessen Oberseite 6 zur Unterseite 7 erstreckende Kühlkanäle 5 vorgesehen.
Answer: | The distance of the cooling channel to the casting surface (F) varies in the mold body (1). | 7 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
0.23014366626739502,
0.7230880260467529,
-0.3399697542190552,
0.5338976979255676,
0.37708353996276855,
-0.15018382668495178,
0.8148206472396851,
-0.30059489607810974,
-0.6653459072113037,
-0.4893264174461365,
-0.2706548571586609,
-0.32788217067718506,
-0.6741211414337158,
0.364620804786682... |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in sentence case (capitalize only the first word of each sentence and noun).
[Q]: Hindi: मैं चार साल पहले यहाँ था,
English: I have read relatively little and at the slightest pretext I put aside my book .
[A]: No
[Q]: Hindi: आपको एक खास मंच पे खडे होना पडेगा,
English: With civil disobedience came boycott of British goods , disobedience of the law of sedition , picketing of liquor shops , etc .
[A]: No
[Q]: Hindi: तो न्यूकैसल ने मुझे कॉल किया. मैंने कहा, “मैं दिल्ली से काम करूंगा.”
English: Mixtures of traditional and modern techniques are used in identifying new specimens .
[A]: | No
| 5 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.30062928795814514,
0.8456383347511292,
0.7771416902542114,
0.14762118458747864,
0.423941969871521,
-0.6560697555541992,
0.310123085975647,
0.5901596546173096,
-0.06397110968828201,
0.019790232181549072,
-0.5049583315849304,
0.39624881744384766,
-0.4516522288322449,
-0.058261528611183167... |
TASK DEFINITION: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
PROBLEM: The boy spilled the milk.
SOLUTION: The boy spilled the peace .
PROBLEM: If you help to purchase a cellular grant then you should have enough money .
SOLUTION: If you don to purchase a cellular phone then you should have enough money .
PROBLEM: The effect of shading up numbers is you 'll know the use of these numbers .
SOLUTION: | The effect of saving up numbers is you 'll know the sum of these numbers .
| 8 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.1395990252494812,
0.3551251292228699,
-0.2449536770582199,
-0.580588161945343,
-0.3857569694519043,
-0.13680320978164673,
1.071420669555664,
0.5686181783676147,
0.2752986550331116,
-0.3768765926361084,
-0.9450833797454834,
0.21852514147758484,
-0.8888587951660156,
0.08524193614721298,
... |
Teacher:In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Teacher: Now, understand the problem? Solve this instance: Beginning: Max was scared of reindeers. Middle: Max stayed out of the woods because of his fer of reindeer. Ending: Max almost had a heart attack.
Student: | He saw a cat. | 6 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.4893224239349365,
-0.27476370334625244,
-0.2828868627548218,
-0.20091229677200317,
-0.16121318936347961,
-0.11715748906135559,
-0.23836097121238708,
0.6625945568084717,
-0.2847016453742981,
-0.663482666015625,
-0.349112868309021,
0.08631466329097748,
-0.946155309677124,
-0.35333198308944... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Q: Sentence 1: A girl wearing a pink shirt lays on the green grass and looks up. Sentence 2: The girl is looking towards the sky.
A: | A small boy swims in the community pool. | 9 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-1.1177313327789307,
0.6433699131011963,
0.2842210531234741,
-0.9436695575714111,
-0.05980198085308075,
-0.19122706353664398,
0.02078816294670105,
0.7072228789329529,
0.17773666977882385,
0.015609188005328178,
-0.9736710786819458,
-0.9510694742202759,
-0.1177903562784195,
-0.01760381087660... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Q: Title: My Tarantula. Sentence 1: When I was ten years old, I got a tarantula. Sentence 2: I named her Medusa, because she was a little bit scary. Sentence 3: All of my friends were terrified of Medusa. Sentence 4: Sometimes she got out of her aquarium, and I had to look for her.
A: My friends always refused to go into my room until she was caught.
****
Q: Title: End of a Truck. Sentence 1: David had an old truck. Sentence 2: It began to give him trouble. Sentence 3: David got an estimate of the repair cost. Sentence 4: It was more than David thought the truck was worth.
A: David decided to buy a new truck.
****
Q: Title: Blinding Light. Sentence 1: Tom was driving to work early in the morning. Sentence 2: The sun was rising. Sentence 3: He was facing it as he drove. Sentence 4: Eventually it got too bright and blinded him.
A: | Tom ran into the car in front of him.
****
| 4 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.30408501625061035,
0.10390365123748779,
-0.15965533256530762,
-0.5894707441329956,
-0.4456290602684021,
-0.7312971949577332,
0.04040677100419998,
1.113945722579956,
-0.09435771405696869,
0.19553524255752563,
-0.7088373899459839,
-0.5757657289505005,
-1.0027966499328613,
0.11621156334877... |
A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: বিশ্বখ্যাত গুগল সংস্থার উচ্চ ক্ষমতাসম্পন্ন ব্রডব্যান্ড ইন্টারনেট পরিষেবা প্রদানের লক্ষ্যে মার্কিন যুক্তরাষ্ট্রে যে বৃহৎ প্রকল্প রূপায়িত হচ্ছে, তারই রূপায়ণের জন্য টিসিআইএল একটি মার্কিন সংস্থার সঙ্গে চুক্তিবদ্ধ হওয়ায় এই সি কর্পোরেশন গঠিত হ’ল।
A: ఈ జాబితా లో మెసర్స్ ఎరిక్ సన్, మెసర్స్ మాస్ టెక్, మెసర్స్ ఎటి & టి, మెసర్స్ జోయా తదితర సంస్థలు ఉన్నాయి.
****
Q: দু’দেশের মধ্যে অভিজ্ঞতা ও প্রকাশনা, তথ্য, পরিসংখ্যান বিনিময় অব্যাহত রাখা, যাতে জাহাজ চলাচল সক্রিয় থাকে এবং একই সঙ্গে জাহাজ নির্মাণ এবং গ্রিন ম্যারিটাইম প্রযুক্তি ক্ষেত্রে সহযোগিতা বাড়ানো যায়। এর পাশাপাশি রয়েছে ইন্ডিয়ান রেজিস্টার অফ শিপিং (আইআরএস) – কে স্বীকৃত সংস্থার মর্যাদা দেওয়ার বিষয়টি।
A: ఇండియన్ రిజిస్టర్ ఆఫ్ శిప్పింగ్ (ఐఆర్ఎస్)కు రికగ్నైజ్డ్ ఆర్గనైజేశన్ (ఆర్ఒ) హోదా ను మంజూరు చేయడం, సముద్ర సంబంధిత శిక్షణ మరియ విద్య రంగం లో సహకారం;
****
Q: পুনর্গঠিত খেলো ইন্ডিয়া কর্মসূচির অনুমোদন দিল কেন্দ্রীয় মন্ত্রিসভা
A: | యువజన వ్యవహారాలు, క్రీడల మంత్రిత్వ శాఖ
****
| 4 | NIv2 | task1031_pib_translation_bengali_telugu | fs_opt | [
-1.0814000368118286,
0.3039133846759796,
-0.2166295349597931,
0.49558502435684204,
0.17296162247657776,
-0.5275232195854187,
-0.09686760604381561,
0.4571473002433777,
-0.11159457266330719,
0.3899543881416321,
0.17451193928718567,
0.006455305032432079,
-0.28706061840057373,
-0.2131476253271... |
Teacher: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Teacher: Now, understand the problem? If you are still confused, see the following example:
We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequence model. Large-Scale Chinese Short Text Summarization Dataset (LCSTS) is constructed by BIBREF1 . The dataset consists of more than 2.4 million text-summary pairs in total, constructed from a famous Chinese social media microblogging service Weibo.
Question: Are results reported only for English data?
Solution: No
Reason: Based on the context, the dataset is constructed from a famous Chinese social media microblogging service Weibo.
Now, solve this instance: For both POS tagging and dependency parsing, we run experiments on the Wall Street Journal (WSJ) portion of the Penn Treebank.
Question: What datasets do they evaluate on?
Student: | Wall Street Journal (WSJ) portion of the Penn Treebank | 2 | NIv2 | task460_qasper_answer_generation | fs_opt | [
-0.35287943482398987,
-0.5021393299102783,
-0.17919373512268066,
-0.5619247555732727,
0.2456437200307846,
-0.20713862776756287,
0.2447403073310852,
0.8344506025314331,
-0.046105869114398956,
0.4723356366157532,
-0.4978461265563965,
-0.04855779558420181,
0.30300426483154297,
0.1580251157283... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Khamer: បណ្តាអ្នកនយោបាយនៅចក្រភពអង់គ្លេសបន្តលើកកង្វល់អំពីការបាត់បង់ ជាពិសេសព័ត៌មាន ព្រមទាំងសមត្ថភាពរដ្ឋាភិបាលក្នុងការសុវត្ថិភាពនិងប្រមូលរក្សាទិន្ន័យ។
A: Yes
Rationale: The converted Khamer sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Q: Japanese: 2000年に同党は彼を大統領候補として募ったが、彼は「私は共和党員だし、大統領選挙には出ない」と言ってその申し出を断った。
Khamer: នៅឆ្នាំ2000 គណបក្សបានជួលគាត់អោយធ្វើជាបេក្ខជនប្រធានាតិបតី តែគាត់បដិសេធន៍ពីការស្នើរសុំនេះ ដែលនិយាយថា"ខ្ញូំជាសមាជិករបស់សាធារណរដ្ឋ ហើយខ្ញុំមិនឈរឈ្មោះជាប្រធានាតិបតេយឡើយ។"
A: | Yes | 9 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.11166810989379883,
-0.3751696050167084,
-0.008612793870270252,
0.39767009019851685,
0.11822827160358429,
-0.5446726083755493,
0.115463986992836,
0.19459055364131927,
-0.9742440581321716,
-0.03405171260237694,
0.5080024003982544,
0.6757470369338989,
-0.17620113492012024,
0.26457419991493... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: the effective annual rate of interest corresponding to a nominal rate of 14 % per annum payable half - yearly is ?
Options: a ) 16.06 % , b ) 16.07 % , c ) 16.08 % , d ) 14.49 % , e ) 16.19 %
A: | d | 4 | NIv2 | task1419_mathqa_gain | zs_opt | [
0.11825646460056305,
0.7740072011947632,
-0.2371809184551239,
-0.20863546431064606,
-0.46125632524490356,
-1.1546510457992554,
1.0908080339431763,
0.8205356597900391,
0.08505947887897491,
0.47672200202941895,
-0.6573097109794617,
-0.09697410464286804,
-1.0761964321136475,
-0.28182199597358... |
Given the task definition and input, reply with output. In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must be different in terms of trigger words (e.g., "small" and "big") which express contrasting properties about the two objects. The answer must not be associated with the trigger word; instead, it should depend on the context present in twin sentences. Also, the answers should not be ambiguous. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals and proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style or phrase in twin sentences. E.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that ObjectX and Y have the same number e.g. when ObjectX is singular, ObjectY must be singular, too. The two objects (ObjectX & ObjectY) should be used ONCE in each sentence. Here is a list of contrastive words that may be used as trigger words. You should create more such trigger words and use them in your twin sentences.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Context Word: basic.
| Sentence 1: She took the basic bag that she had purchased it and redesigned it into a purse because the _ was more mundane.
Answer1: bag.
Sentence 2: She took the basic bag that she had purchased and redesigned it into a purse because the _ was more useful.
Answer2: purse. | 5 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.43753087520599365,
0.3533031940460205,
0.15145227313041687,
-0.054996974766254425,
0.7842510342597961,
-0.7215537428855896,
0.40790504217147827,
1.1143929958343506,
-0.6173679828643799,
-0.34446489810943604,
-0.66263747215271,
0.016810130327939987,
-0.4855797290802002,
-0.126785516738891... |
Q: Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Humans use six times as much water today as they did 100 years ago. People living in developed countries use a far greater proportion of the worlds water than people in less developed countries. What do people use all of that water for? Besides drinking and washing, people need water for agriculture, industry, household uses, and recreation (Figure Water use can be consumptive or non-consumptive, depending on whether the water is lost to the ecosystem. Non-consumptive water use includes water that can be recycled and reused. For example, the water that goes down the drain and enters the sewer system is purified and then redistributed for reuse. By recycling water, the overall water consumption is reduced. Consumptive water use takes the water out of the ecosystem. Can you name some examples of consumptive water use? Some of the worlds farmers still farm without irrigation by choosing crops that match the amount of rain that falls in their area. But some years are wet and others are dry. For farmers to avoid years in which they produce little or no food, many of the worlds crops are produced using irrigation. Water used for home, industrial, and agricultural purposes in different regions. Globally more than two-thirds of water is for agriculture. Three popular irrigation methods are: Overhead sprinklers. Trench irrigation: canals carry water from a water source to the fields. Flood irrigation: fields are flooded with water. All of these methods waste water. Between 15% and 36% percent of the water never reaches the crops because it evaporates or leaves the fields as runoff. Water that runs off a field often takes valuable soil with it. A much more efficient way to water crops is drip irrigation (Figure 1.2). With drip irrigation, pipes and tubes deliver small amounts of water directly to the soil at the roots of each plant or tree. The water is not sprayed into the air or over the ground, so nearly all of it goes directly into the soil and plant roots. Why do farmers use wasteful irrigation methods when water-efficient methods are available? Many farmers and farming corporations have not switched to more efficient irrigation methods for two reasons: 1. Drip irrigation and other more efficient irrigation methods are more expensive than sprinklers, trenches, and flooding. 2. In the United States and some other countries, the government pays for much of the cost of the water that is used for agriculture. Because farmers do not pay the full cost of their water use, they do not have any financial incentive to use less water. What ideas can you come up with to encourage farmers to use more efficient irrigation systems? Aquaculture is a different type of agriculture. Aquaculture is farming to raise fish, shellfish, algae, or aquatic plants (Figure 1.3). As the supplies of fish from lakes, rivers, and the oceans dwindle, people are getting more fish from aquaculture. Raising fish increases our food resources and is especially valuable where protein sources are limited. Farmed fish are becoming increasingly common in grocery stores all over the world. Workers at a fish farm harvest fish they will sell to stores. Growing fish in a large scale requires that the fish stocks are healthy and protected from predators. The species raised must be hearty, inexpensive to feed, and able to reproduce in captivity. Wastes must be flushed out to keep animals healthy. Raising shellfish at farms can also be successful. For some species, aquaculture is very successful and environmental harm is minimal. But for other species, aqua- culture can cause problems. Natural landscapes, such as mangroves, which are rich ecosystems and also protect coastlines from storm damage, may be lost to fish farms (Figure 1.4). For fish farmers, keeping costs down may be a problem since coastal land may be expensive and labor costs may be high. Large predatory fish at the 4th or 5th trophic level must eat a lot, so feeding large numbers of these fish is expensive and environmentally costly. Farmed fish are genetically different from wild stocks, and if they escape into the wild they may cause problems for native fish. Because the organisms live so close together
A: | water that can be recycled and reused is called ____________water use. | 7 | NIv2 | task470_mrqa_question_generation | zs_opt | [
0.5502352714538574,
0.9798704981803894,
-0.4956096410751343,
0.19510877132415771,
0.6744490265846252,
-1.0330188274383545,
0.09478305280208588,
0.9148033857345581,
-0.90019690990448,
0.36081069707870483,
-0.5415517687797546,
0.1998678743839264,
-0.7942513823509216,
0.1319485604763031,
-0... |
Teacher: Read the given story and classify it as 'imagined', 'recalled', or 'retold'. If a story is imagined, the person who wrote the story is making it up, pretending they experienced it. If a story is recalled, the person who wrote the story really experienced it and is recalling it from memory. If a story is retold, it is a real memory like the 'recalled' stories, but written down much later after previously writing a 'recalled' story about the same events. So, recalled stories and retold stories will be fairly similar, in that they both were real experiences for the writer. Imagined stories have a more linear flow and contain more commonsense knowledge, whereas recalled stories are less connected and contain more specific concrete events. Additionally, higher levels of self reference are found in imagined stories. Between recalled and retold stories, retold stories flow significantly more linearly than recalled stories, and retold stories are significantly higher in scores for cognitive processes and positive tone.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Concerts are my most favorite thing, and my boyfriend knew it. That's why, for our anniversary, he got me tickets to see my favorite artist. Not only that, but the tickets were for an outdoor show, which I love much more than being in a crowded stadium. Since he knew I was such a big fan of music, he got tickets for himself, and even a couple of my friends. He is so incredibly nice and considerate to me and what I like to do. I will always remember this event and I will always cherish him. On the day of the concert, I got ready, and he picked me up and we went out to a restaurant beforehand. He is so incredibly romantic. He knew exactly where to take me without asking. We ate, laughed, and had a wonderful dinner date before the big event. We arrived at the concert and the music was so incredibly beautiful. I loved every minute of it. My friends, boyfriend, and I all sat down next to each other. As the music was slowly dying down, I found us all getting lost just staring at the stars. It was such an incredibly unforgettable and beautiful night.
Solution: imagined
Reason: This is a good example because it really was an imagined story. The attributes that should tip you off are that the story is light on concrete events (they describe things in broad terms such as going to a restaurant and being at the stadium, but nothing specific about who was exactly where and anything specifically notable someone said or did) and heavy on references to the writer themselves and their internal feelings (they frequently repeat how much they loved it, how romantic they felt, how they cherished the night, etc). It's also very linear and structured, pointing to this being an imagined story. Additionally, the events and feelings described seem a little romanticized or idealized beyond what is usually a realistic circumstance.
Now, solve this instance: Dear Diary,I've been thinking about the incident a lot. Probably too much. What, me? Overthinking? No way. But this time, I blame my subconscious brain. I had a dream about her last night. We met up and it was... nice. Polite. I mean, I didn't slap her, so already I'd say that's a pleasant dream. I'm kidding, but only sort of. It's actually the first time I dreamed of her in the last four months, since we stopped speaking. I've been rolling the incident around in my head over and over again, trying to think how it could have gone differently. I talked to mom after it happened and she was kind but firm, which sounds about right, eh? Mostly, she said I shouldn't have let the issue get so hot before dealing with it and that's why it exploded. Exploded, ha. That's an understatement. My bae since Kindergarden and now we never talk. It makes me so flipping sad sometimes, even though she was way out of line. Oh, I hear my mother's voice in my head again reminding me that I was out of line too. That's the terrible power of knowing everything about someone else - you have the knowledge and capacity to use that power to hurt them. I was wrong. She was wrong. And we're both so darn prideful. Should I reach out?
Student: | imagined | 2 | NIv2 | task854_hippocorpus_classification | fs_opt | [
0.7588302493095398,
0.16793470084667206,
-0.10714608430862427,
-0.13293173909187317,
0.3503628969192505,
-0.5979508757591248,
1.0138338804244995,
0.6211247444152832,
0.06642726808786392,
0.13250547647476196,
0.03950997442007065,
0.35936346650123596,
-0.7276366949081421,
0.17457923293113708... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX becomes very depressed<sep>Tail: PersonX talks to their therapist about it
Output: | Yes | 3 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.2972846031188965,
0.1559707671403885,
0.13635486364364624,
-0.3381790518760681,
-0.5201623439788818,
-0.5923523902893066,
1.286858081817627,
0.5396292805671692,
-0.3578487038612366,
-0.44621598720550537,
-0.7016555070877075,
-0.624200701713562,
-0.5278130769729614,
0.3218514025211334,
... |
Given the task definition and input, reply with output. In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the bankers discount of a certain sum of money is rs . 288 and the true discount on the same sum for the same time is rs . 240 . the sum due is :
Options: a ) 1400 , b ) 1420 , c ) 1440 , d ) 1460 , e ) 1480
| c | 5 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.7004055976867676,
0.7698218822479248,
-0.3682558536529541,
-0.025798499584197998,
-0.7856348752975464,
0.1534562110900879,
0.618500828742981,
0.34920749068260193,
0.25388914346694946,
-0.47609442472457886,
-1.1960393190383911,
0.47346028685569763,
-0.86895751953125,
0.02042464353144169,... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
One example: Then, the camel stops and the woman gets down from the camel.
Solution is here: A woman rides a camel holding a rode with her right hand while a man pulls the camel.
Explanation: The output mentions that the woman was riding a camel. This is a correct context of the given statement since the woman has to be on the camel to come down from it.
Now, solve this: Another man steps into frame and the girls continue talking to each other while the artist.
Solution: | A girl is sitting on a large chair with two girls beside her and a man tattooing her foot. | 6 | NIv2 | task455_swag_context_generation | fs_opt | [
0.4004119634628296,
0.8132124543190002,
-0.48997801542282104,
0.058604929596185684,
-0.26160719990730286,
0.03057427518069744,
-0.06796882301568985,
1.4014368057250977,
0.3565073013305664,
-0.18072426319122314,
-1.0188775062561035,
0.17606694996356964,
-0.27013254165649414,
0.2675327062606... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Thai: รายละเอียดถูกเปิดเผยโดยเลขาธิการกระทรวงคมนาคมของUK นางRuth Kelly ในสภาสามัญชน เมื่อเวลา17:30 UTC
A: Yes
Rationale: The converted Thai sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Q: Japanese: 「映画からのものも含んだマーベルの財政的な成功の大部分は、この訴訟の対象であるスタン・リーによって生み出される資産からくるものである」と、申し立てで述べられている。
Thai: เนื่องจากการว่างงานของคนหนุ่มสาวอยู่ในระดับที่น่าตกใจ (15.5% ในปี 2002 สำหรับช่วงอายุ 20-24 ปีตามรายงานของ OECD) และความทรงจำของการจลาจลปี 2005 ยังคงอยู่ Sarkozy ให้คำมั่นที่จะบริหารค่าใช้จ่ายของรัฐบาลและจะออกนโยบายภาษีที่ให้รางวัลกับชั่วโมงทำงานที่ยาวนานขึ้น
A: | No | 9 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.4773373603820801,
-0.7286611199378967,
-0.20828860998153687,
0.09441007673740387,
0.2261056900024414,
-0.16021578013896942,
-0.11620767414569855,
0.6996379494667053,
-0.48371338844299316,
-0.12348316609859467,
0.2618028521537781,
0.8557371497154236,
0.2713889479637146,
0.485081076622009... |
Instructions: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Input: Sentence 1: The deck was completely clean. Sentence 2: We had been getting close to finished. Sentence 3: It was my turn. Sentence 4: My grandfather worked on it too. Sentence 5: It was time to pressure wash the deck. Choices: a. Deck. b. Dinner.
Output: | a | 3 | NIv2 | task220_rocstories_title_classification | zs_opt | [
0.05704520642757416,
-0.15828976035118103,
-0.2401687055826187,
-0.6293964385986328,
-0.3197811543941498,
0.23064979910850525,
0.4497772455215454,
0.6634165048599243,
0.26654523611068726,
-0.0008613992249593139,
-0.35927894711494446,
-0.10066397488117218,
-0.2017802596092224,
0.15462392568... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Translate from English to Hindi.
Go to the employment office.
Solution: रोजगार कार्यालय जाओ.
Why? The translation is accurate.
New input: It's not true!
Solution: | यह सच नहीं है! | 0 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.3682519793510437,
-0.13124115765094757,
-0.165040522813797,
0.44404637813568115,
0.23814481496810913,
-0.5340719223022461,
0.13409548997879028,
0.28488874435424805,
0.056583452969789505,
-0.027735739946365356,
-0.14496678113937378,
-0.5925730466842651,
0.3787418603897095,
0.506493210792... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of your answer, that is, you should sum the first members of each inner list together and put it as the first element of the list, then sum the second members of each inner list together and put it as the second element of your list, etc. The output should be a list of numbers with the same length as the longest inner list.
[Q]: [[-50, -22, -31, -44, -67], [-93, 36, 71, 87, 56, 54, 43, -34], [-95, -89, 69, 12, -83]]
[A]: [-238, -75, 109, 55, -94, 54, 43, -34]
[Q]: [[-91, -51, -59, -42], [53, -40, -86, 40, 56, 98, -89], [37, 76, 97, 73]]
[A]: [-1, -15, -48, 71, 56, 98, -89]
[Q]: [[-22, 61, 19, -5, -20, 82, 37], [-66, -40], [-91, -68, -94, -78, -71, -73, 61], [19, -19, 28, -75, -60, 89, 91], [-36, -20, 44], [-10, -13, 21, -62, -86, 72, 71]]
[A]: | [-206, -99, 18, -220, -237, 170, 260]
| 5 | NIv2 | task122_conala_list_index_addition | fs_opt | [
-0.06012636050581932,
-0.23479785025119781,
-0.6960921287536621,
-0.32754915952682495,
0.007681816350668669,
-0.07017657160758972,
0.8587667942047119,
0.45189130306243896,
-0.36816149950027466,
-0.07378745079040527,
-0.783760130405426,
0.3743845522403717,
-0.5718885064125061,
-0.0423166006... |
Teacher:You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: गदिमांचे चिरंजीव आनंद माडगूळकर यांच्या म्हणण्यानुसार इ.स. १९३६ साली रामकृष्ण दत्तात्रेय पराडकर यांच्या घरी <MASK> 'एकशे आठ रामायणे' ह्या ग्रंथाचे वाचन केले तेव्हापासून रामायणावर काही लेखन व्हावे अशी गदिमांची मनीषा होती.
Option A: कौसल्या
Option B: माडगूळकर
Option C: एमजीआर
Option D: मोरोपंतांच्या
Student: | मोरोपंतांच्या | 6 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
-0.21115624904632568,
0.29726850986480713,
-0.1073015108704567,
-0.9460444450378418,
-0.41400936245918274,
-0.42442187666893005,
0.31422293186187744,
0.11142325401306152,
0.07232435792684555,
-0.13627082109451294,
-0.4900880455970764,
-0.5453194975852966,
-0.6879502534866333,
-0.5779398679... |
TASK DEFINITION: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
PROBLEM: Head: PersonX accidentally hit ___<sep>Tail: none
SOLUTION: No
PROBLEM: Head: PersonX turns tricks<sep>Tail: PersonX was infected with an std
SOLUTION: Yes
PROBLEM: Head: PersonX quickly left<sep>Tail: PersonX managed to stay dry while everyone else was wet
SOLUTION: | Yes
| 8 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.6375192403793335,
0.22207285463809967,
0.0014419741928577423,
-0.19242042303085327,
-0.39072364568710327,
-0.5831586718559265,
1.1988863945007324,
0.7449074983596802,
-0.610363781452179,
-0.4636538624763489,
-0.3398319482803345,
-0.7058877944946289,
-0.3983116149902344,
-0.04621475934982... |
Teacher:In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Teacher: Now, understand the problem? Solve this instance: Passage: There was considerable local opposition to the Yellowstone National Park during its early years. Some of the locals feared that the regional economy would be unable to thrive if there remained strict federal prohibitions against resource development or settlement within park boundaries and local entrepreneurs advocated reducing the size of the park so that mining, hunting, and logging activities could be developed. To this end, numerous bills were introduced into Congress by Montana representatives who sought to remove the federal land-use restrictions.After the park's official formation, Nathaniel Langford was appointed as the park's first superintendent in 1872 by Secretary of Interior Columbus Delano, the first overseer and controller of the park. Langford served for five years but was denied a salary, funding, and staff. Langford lacked the means to improve the land or properly protect the park, and without formal policy or regulations, he had few legal methods to enforce such protection. This left Yellowstone vulnerable to poachers, vandals, and others seeking to raid its resources. He addressed the practical problems park administrators faced in the 1872 Report to the Secretary of the Interior and correctly predicted that Yellowstone would become a major international attraction deserving the continuing stewardship of the government. In 1874, both Langford and Delano advocated the creation of a federal agency to protect the vast park, but Congress refused. In 1875, Colonel William Ludlow, who had previously explored areas of Montana under the command of George Armstrong Custer, was assigned to organize and lead an expedition to Montana and the newly established Yellowstone Park. Observations about the lawlessness and exploitation of park resources were included in Ludlow's Report of a Reconnaissance to the Yellowstone National Park. The report included letters and attachments by other expedition members, including naturalist and mineralogist George Bird Grinnell.
Grinnell documented the poaching of buffalo, deer, elk, and antelope for hides. "It is estimated that during the winter of 1874–1875, not less than 3,000 buffalo and mule deer suffer even more severely than the elk, and the antelope nearly as much."As a result, Langford was forced to step down in 1877.
Question: What is the first name of the person who correctly predicted that Yellowstone would become a major international attraction?
Student: | Nathaniel. | 6 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.8292844295501709,
0.6119279265403748,
-0.5754430294036865,
-0.07343989610671997,
-0.4223867654800415,
-0.3644387423992157,
0.07202018797397614,
0.8165494203567505,
-0.057628169655799866,
-0.3069990277290344,
-0.3089492917060852,
0.19983617961406708,
-0.9883142113685608,
-0.32113561034202... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Let me give you an example: Comment: President lied under oath about consensual sex...
Not the same thing as rape.
The answer to this example can be: Sexual-explicit
Here is why: This comment explicitly mentions "consensual sex" and "rape", and thus is sexual-explicit.
OK. solve this:
Comment: I see you have a typo error there on thepusy, probably on purpose. Didn't you mean, the pusy with two ss's?
Answer: | Sexual-explicit | 8 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.865749716758728,
0.08729296177625656,
0.4183679223060608,
0.41917479038238525,
0.16285981237888336,
-0.6428602933883667,
-0.09919562935829163,
0.3442763388156891,
-0.20197221636772156,
0.6006009578704834,
0.2514892816543579,
0.4092203378677368,
-0.007645058445632458,
-1.008250117301941,... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
[Q]: Genetic PAP ( GPAP ) is caused by mutations in genes encoding surfactant proteins or genes encoding a surfactant phospholipid transporter in alveolar type II epithelial cells.
[A]: background
[Q]: Estimation of the basic reproduction number by means of mathematical modeling can be helpful for determining the potential and severity of an outbreak and providing critical information for identifying the type of disease interventions and intensity.
[A]: background
[Q]: Gel diluents can have variable viscosities and are `` dropped '' onto chicks with an applicator bar.
[A]: | background
| 5 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.8190486431121826,
0.18599791824817657,
-0.12200255692005157,
-0.5906175374984741,
-0.21404781937599182,
-0.3697800040245056,
0.041132815182209015,
0.8203086853027344,
0.057637400925159454,
0.15641598403453827,
-1.1424752473831177,
0.16634908318519592,
-0.42358267307281494,
-0.2749001979... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
How many aircraft movements in 2017 was at the airport that is a hub or headquarters of a company that uses Bombardier Q400 NextGen aircraft ? | WRB JJ NN NNS IN CD VBD IN DT NN WDT VBZ DT NN CC NNS IN DT NN WDT VBZ NNP NNP NNP NN . | 0 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
-0.1484818458557129,
0.6363007426261902,
-0.40897440910339355,
0.10086246579885483,
-0.39575791358947754,
0.017497137188911438,
0.8045655488967896,
0.4096914529800415,
-0.14534765481948853,
-0.02052708901464939,
-0.6753959655761719,
0.4329908788204193,
-0.22732630372047424,
-0.168744921684... |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
[header] How to handle having a toxic mother [title] Be aware that your mother might not realise that what's she's doing or saying is affecting you. [step] Try talking about it with her, telling her how you feel. You might be surprised to find that she's actually quite understanding; after all, she's human too. <sep> (A) [title] If you're really dealing with a toxic mother, be caring. [step] Basically, try your best to show she is not hurting you. (B) [substeps] You might be embarrassed, and really hurt. Try to talk to her about your feelings instead. (C) [substeps] You could say, " i feel frightened about what you're telling me. I wish i could make you feel better, but i don't know how. (D) [title] Choose the right time to talk it over. [step] There is a wrong time for you to have this conversation.
D
[header] How to make modeling clay in a slow cooker [title] Preheat the slow cooker. [step] To ready your slow cooker for cooking the clay, it's important to preheat it. Plug it in, and set the temperature to low. <sep> (A) That will allow the slow cooker to heat up slowly. [substeps] While children can help with the measuring and mixing of the ingredients, an adult should handle preparing and heating the slow cooker. (B) Cover the slow cooker and leave it somewhere out of the way where it won't be disturbed as it cooks. Doing this early will make your clay easy to mix and smooth. (C) Avoid getting hot coals inside the slow cooker. [substeps] Make sure there are no ashes or scraps of food stuck onto the bottom of the slow cooker before cooking the clay. (D) Allow the slow cooker to heat up to about 325 degrees fahrenheit (260 degrees celsius) for 1 hour. [substeps] Do not allow the temperature to go above the cool bar when you shut the electric slow cooker.
A
[header] How to compare pharmacy prices [title] Compare prescription prices online. [step] These days there are apps and websites which take some of the legwork out of comparing pharmacy costs. A simple web search will turn up a number of results. <sep> (A) These apps will show the prices of the same prescription at various pharmacies near you, allowing you to make the most informed decision about where to pick up your medication. [title] Call around to different pharmacies in your area. (B) For instance, download a print-out list of pharmacies to compare prices online. [substeps] If you want to compare pharmacies compared to grocery stores, chances are you're probably looking for a pharmacy that specializes in similar products. (C) [title] Choose a pharmacy based on the rate of dollar they are selling for. [step] This is what you'd get for a big purchase. (D) Think carefully about what your pharmacy costs at the moment and, ultimately, how much medical supplies you need. [substeps] Using a database such as jstor, you can compare pharmacy prices by looking at the prices of medications listed.
| A
| 0 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.6722696423530579,
-0.070147305727005,
-0.3260802626609802,
0.04819571226835251,
0.32919546961784363,
-0.5274136066436768,
1.119510531425476,
1.1811082363128662,
0.17590399086475372,
0.4939234256744385,
0.19980864226818085,
0.32790493965148926,
0.2425972819328308,
-0.04069084674119949,
... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage.
--------
Question: The Low German varieties spoken in Germany are often counted among the German dialects. This reflects the modern situation where they are roofed by standard German. This is different from the situation in the Middle Ages when Low German had strong tendencies towards an ausbau language.
Answer: What type of language was Low German in the Middle Ages?
Question: Discussions of strategy in the mid Ming dynasty focused primarily on recovery of the Ordos region, which the Mongols used as a rallying base to stage raids into Ming China. Norbu states that the Ming dynasty, preoccupied with the Mongol threat to the north, could not spare additional armed forces to enforce or back up their claim of sovereignty over Tibet; instead, they relied on "Confucian instruments of tribute relations" of heaping unlimited number of titles and gifts on Tibetan lamas through acts of diplomacy. Sperling states that the delicate relationship between the Ming and Tibet was "the last time a united China had to deal with an independent Tibet," that there was a potential for armed conflict at their borders, and that the ultimate goal of Ming foreign policy with Tibet was not subjugation but "avoidance of any kind of Tibetan threat." P. Christiaan Klieger argues that the Ming court's patronage of high Tibetan lamas "was designed to help stabilize border regions and protect trade routes."
Answer: What did the mid Ming dynasty discussion focus mainly on?
Question: Charles "Wag" Bennett, one of the judges at the 1966 competition, was impressed with Schwarzenegger and he offered to coach him. As Schwarzenegger had little money, Bennett invited him to stay in his crowded family home above one of his two gyms in Forest Gate, London, England. Yorton's leg definition had been judged superior, and Schwarzenegger, under a training program devised by Bennett, concentrated on improving the muscle definition and power in his legs. Staying in the East End of London helped Schwarzenegger improve his rudimentary grasp of the English language. Also in 1966, Schwarzenegger had the opportunity to meet childhood idol Reg Park, who became his friend and mentor. The training paid off and, in 1967, Schwarzenegger won the title for the first time, becoming the youngest ever Mr. Universe at the age of 20. He would go on to win the title a further three times. Schwarzenegger then flew back to Munich, training for four to six hours daily, attending business school and working in a health club (Rolf Putziger's gym where he worked and trained from 1966–1968), returning in 1968 to London to win his next Mr. Universe title. He frequently told Roger C. Field, his English coach and friend in Munich at that time, "I'm going to become the greatest actor!"
Answer: | Which of the bodybuilders Schwarzenegger idolized as a kid did he meet in 1966?
| 7 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.44130128622055054,
0.47815418243408203,
-0.6842067837715149,
-0.31511956453323364,
0.7288143038749695,
0.02802084945142269,
0.7866345643997192,
0.82395339012146,
0.5539120435714722,
-0.6316260099411011,
-0.5436251163482666,
0.8148003220558167,
-1.1468254327774048,
0.16975665092468262,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
--------
Question: Wszyscy mamy w sobie takie "" barwy dźwięku "", Wszyscy mamy w sobie takie "" barwy dźwięku "", które tworzą różnorodność naszych osobowości, usposobień, zainteresowań...
Answer: וזה בעצם מה שאנו. אנחנו רק בני-אדם, אך יש לנו כאילו גווני צליל קטנים משלנו, שמרכיבים את האישיות הייחודית של כל אחד ואת האופי ותחומי העניין והכל.
Question: Wymagało to wiele pracy.
Answer: אבל זה היה לאחר עבודה מאוד אינטנסיבית.
Question: Dlaczego w podobny sposób nie pomóc naturze?
Answer: | מדוע אי אפשר לטעון טיעון מקביל עבור הטבע?
| 7 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.8851185441017151,
0.7336844801902771,
-0.3165530264377594,
0.22296291589736938,
-0.6702755689620972,
-0.37106627225875854,
1.0660743713378906,
-0.7066483497619629,
0.45938143134117126,
-0.6559590101242065,
-0.4184594750404358,
0.5683462619781494,
-0.9029496908187866,
-0.0309461690485477... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is located or can be found at/in/on the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Consider Input: Head: PersonX accomplishes PersonX's goals<sep>Tail: positive
Output: No
Input: Consider Input: Head: entryway<sep>Tail: department store
Output: Yes
Input: Consider Input: Head: car seat<sep>Tail: backseat of car
| Output: Yes
| 2 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.22874078154563904,
0.1207045316696167,
0.20218387246131897,
-0.11821065098047256,
-0.5543103218078613,
-0.4368390440940857,
0.9416326284408569,
0.45405393838882446,
-0.3181230127811432,
-0.2805987298488617,
-0.6031883955001831,
-0.5684400796890259,
-0.45007771253585815,
0.266843229532241... |
Q: In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the number of sentences in the correct order, such as '23415'.
Sentence1: A man drove for many hours on the highway. Sentence2: He took the exit for the rest stop. Sentence3: He saw a sign for a rest stop two miles away. Sentence4: The man stopped at the rest stop and got out of the car. Sentence5: He put his car in the right lane in anticipation.
A: | 14253 | 7 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.04250311106443405,
-0.010184438899159431,
0.09759978950023651,
-0.5779871940612793,
-0.4587860107421875,
-0.343808114528656,
-0.07042218744754791,
0.5672801733016968,
0.22891785204410553,
0.11010312288999557,
-1.0797808170318604,
-0.575208306312561,
-0.4135529100894928,
-0.1255304515361... |
A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
Example Input: Six-fold increase in Government spending on telecommunications infrastructure and services in the country from Rs.
Example Output: நாட்டில் தொலைத்தொடர்பு கட்டமைப்பு மற்றும் சேவைகளுக்காக அரசால் செலவிடப்படும் தொகை, 2009 – 2014 காலக்கட்டத்தில் ரூ.
Example Input: There is a tremendous strength in the 125 crore countrymen, our institutions, our government and society.
Example Output: 125 கோடி மக்கள், நமது நிறுவனங்கள், நமது அரசு மற்றும் சமூகத்தில் பெருமளவிலான வலிமை உள்ளது.
Example Input: rescind, in relation to any State or States, any order or orders made under this paragraph, and in consultation with the Governor of the State concerned, make fresh orders redefining the areas which are to be Scheduled Areas.
Example Output: | சம்பந்தப்பட்ட மாநில ஆளுநருடன் கலந்தாலோசித்து இந்தப் பத்தியின்கீழ் வெளியிடப்பட்ட எந்த மாநிலம் அல்லது மாநிலங்கள் தொடர்பான உத்தரவு அல்லது உத்தரவுகளை ரத்துச் செய்து பட்டியலிடப்பட்ட பகுதிகள் என மறுவரையறை செய்யப்பட்டதற்குப் புதிய உத்தரவுகளைப் பிறப்பிக்கலாம்.
| 3 | NIv2 | task991_pib_translation_english_tamil | fs_opt | [
0.01695009507238865,
0.7999793887138367,
0.4532167315483093,
-0.2267947793006897,
0.36858564615249634,
-0.33507150411605835,
0.2782773971557617,
0.6766823530197144,
-0.2276867777109146,
-0.011763702146708965,
-0.2513653039932251,
0.47937262058258057,
-0.7849291563034058,
-0.359588950872421... |
You need to read the given passage and construct a question about the information present in the passage. The question should be answerable from the passage. Most importantly, only those questions are allowed whose answers cannot be determined from a single sentence. Do not generate questions that require only a single sentence to answer. Instead, try to combine two sentences and create a question from that combination. Do not create open-ended questions, i.e., the answers to them cannot be found precisely from the information provided in the passage.
--------
Question: Paragraph- Sent 1: Here the omnibus came up, and I rode back to Manchester.
Sent 2: The whole conversation took up very little more time than it will take to read it; but I thought it worth recording, as characteristic of the people now suffering in Lancashire from no fault of their own.
Sent 3: I know the people well.
Sent 4: The greatest number of them would starve themselves to that degree that they would not be of much more physical use in this world, before they would condescend to beg.
Sent 5: But starving to death is hard work.
Sent 6: What will winter bring to them when severe weather begins to tell upon constitutions lowered in tone by a starvation diet--a diet so different to what they have been used to when in work?
Sent 7: What will the 1s.
Sent 8: 6d.
Sent 9: a-head weekly do for them in that hard time?
Sent 10: If something more than this is not done for them, when more food, clothing, and fire are necessary to everybody, calamities may arise which will cost England a hundred times more than a sufficient relief--a relief worthy of those who are suffering, and of the nation they belong to--would have cost.
Sent 11: In the meantime the cold wings of winter already begin to overshadow the land; and every day lost involves the lives, or the future usefulness, of thousands of our best population.
Answer: Is joblessness currently a major issue in Lancashire?
Question: Paragraph- Sent 1: Eighteen-year-old Do Wan-deuk lives with his hunchback father , Gak-seol , and the stuttering Min-gu , former cabaret clowns now having to work in open-air markets after the closure of the nightclub they used for many years .
Sent 2: Wan-deuk never knew his mother , who walked out 17 years ago , and has become a young brawler .
Sent 3: His unconventional high school teacher , Lee Dong-ju , who treats all his students with equal harshness , lives on the rooftop next door and is always on Wan-deuk 's back .
Sent 4: Both are perpetually insulted by a grouchy neighbor , who lives with his younger sister Lee Ho-jeong , a writer of `` existential martial arts novels '' under the pen-name Moonbow .
Sent 5: When Gak-seol and Min-ju start going on the road looking for work , Gak-seol asks Dong-ju to keep an eye on his son , and the two become closer .
Sent 6: Dong-ju tells Wan-deuk his mother , Lee Suk-gi , is actually a Filipina , now working in a restaurant in Seongnam , a satellite city south of Seoul .
Sent 7: Thanks to Dong-ju , mother and son finally meet for the first time .
Sent 8: Meanwhile , Jeong Yun-ha , the brightest pupil in class , has taken a liking to Dong-ju after splitting with her boyfriend Hyeok-ju .
Sent 9: When Wan-deuk takes up kickboxing to funnel his aggression , Yun-ha helps him .
Sent 10: But just when Wan-deuk has come to rely on Dong-ju 's tutorship , the latter is arrested by the police for helping illegal immigrant workers .
Answer: How does Yun-ha help Wan-deuk funnel his aggression?
Question: Paragraph- Sent 1: Josie started planning her new garden in the winter.
Sent 2: She chose flowers and vegetables that could grow in her area.
Sent 3: She looked through the seed magazines.
Sent 4: She ordered the tastiest kind of each vegetable and the prettiest kind of each flower.
Sent 5: She talked to a friend about her plans.
Sent 6: It seemed like the snow would never melt.
Sent 7: But Josie didn't have to wait for spring to get started.
Sent 8: Six weeks before the last frost, Josie planted seeds indoors.
Sent 9: The tiny seedlings pushed up through the soil and began to grow.
Sent 10: Finally spring arrived.
Sent 11: Each day, Josie moved the seedlings outside for a few hours so they could get used to the cooler temperatures.
Sent 12: Josie worked in her garden, digging the soil.
Sent 13: She added a special growing mix from the garden store to make the soil better.
Sent 14: When everything was ready, she removed the seedlings from their trays and planted them in her garden.
Sent 15: The warm sun and rich soil helped her vegetables and flowers grow.
Answer: | When did Josie move the seedlings outside for a few hours so they could get used to the cooler temperatures?
| 7 | NIv2 | task048_multirc_question_generation | fs_opt | [
0.33130761981010437,
0.8621532917022705,
0.031248636543750763,
-0.5264357328414917,
0.5944188237190247,
-0.2638390064239502,
0.7713680863380432,
1.0541598796844482,
-0.003707088762894273,
0.09598936140537262,
-0.770977258682251,
0.05587062984704971,
-0.8365575075149536,
0.3215481638908386,... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Example input: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of vowels in the given sentence.
Example output: 16
Example explanation: This sentence has 5 occurrences of letter 'a', 4 of 'e', 2 of 'i', 4 of 'o', and 1 of 'u'. This adds up to 16. So, the answer is 16.
Q: Sentence: 'table setting with soup, bread and plates of vegetables and rice'. Count the number of vowels in the given sentence.
A: | 20 | 3 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.01734374836087227,
0.487947553396225,
-0.9934770464897156,
-0.31492364406585693,
-0.021507397294044495,
0.09900498390197754,
0.04732774570584297,
0.7457118034362793,
0.2923728823661804,
-0.16217796504497528,
0.019999783486127853,
0.20732952654361725,
0.14293748140335083,
0.00336752063594... |
Teacher:You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
Teacher: Now, understand the problem? Solve this instance: System Reference: there is a spanish restaurant called piperade.
Original Reference: there is a spanish restaurant called piperade that may interest you.
Student: | 1 | 6 | NIv2 | task1284_hrngo_informativeness_classification | zs_opt | [
-0.778754472732544,
0.6440484523773193,
-0.2782677412033081,
0.24773597717285156,
-0.34800031781196594,
-0.7826313972473145,
1.256007194519043,
0.864647626876831,
0.16061297059059143,
-0.30209481716156006,
-0.19381305575370789,
-0.500472903251648,
-0.8532254695892334,
-0.24195650219917297,... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Example: You could have over a hundred million followers and still not a genuine person who understands you or wants to #cantshakethis #sadness
Output: Sad
The tweet author is sad because they think no one understands them.
New input case for you: @VP Prayers for them as they grieve the loss of their loved ones. 💔
Output: | Sad | 1 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.312485933303833,
-0.037651773542165756,
0.6418554186820984,
0.4910906255245209,
0.44529515504837036,
-0.6351205110549927,
0.608725905418396,
0.4223455786705017,
0.3951851725578308,
0.5185906291007996,
-0.24719834327697754,
-0.6263716220855713,
0.059407465159893036,
0.06844693422317505,
... |
Detailed Instructions: Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Problem:Alle groepen worden volgens de regels gespeeld.
Solution: | Alle spellen worden volgens de regels gespeeld. | 8 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.005145256407558918,
0.7893513441085815,
-0.8244593143463135,
-0.18035228550434113,
-0.510197103023529,
-0.5824701189994812,
0.8016527891159058,
-0.02337036095559597,
0.35760337114334106,
-0.9194633960723877,
-0.6510959267616272,
0.9794195890426636,
-0.7887961268424988,
0.290536761283874... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Example Input: Sentence: 'a brown and black cat is sitting on a floor next to a fish bowl'. Is 'on' the longest word in the sentence?
Example Output: No
Example Input: Sentence: 'a man is working on a blue surfboard'. Is 'a' the longest word in the sentence?
Example Output: No
Example Input: Sentence: 'there is a man on the surf board on the waves'. Is 'board' the longest word in the sentence?
Example Output: | Yes
| 3 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.06981030851602554,
0.6787559986114502,
-0.3120359182357788,
-0.20140093564987183,
0.30675721168518066,
-0.5529103875160217,
0.2780213952064514,
0.609002947807312,
0.010863239876925945,
-0.2573574185371399,
-0.6673243045806885,
0.1607149988412857,
0.3535156846046448,
-0.2825179696083069,... |
This task is about translating a given Yoruba language sentence to English.
Let me give you an example: Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
The answer to this example can be: Today CC licenses are prevalent across the web and are used by creators around the world for every type of content you can imagine.
Here is why: This is a good example because the Yoruba sentence has been translated correctly into English.
OK. solve this:
Eléweé ní iyènú; àìní mọ ìwàá hù.
Answer: | A person who has children must be responsible; one who does not must know how to behave. | 8 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.026833482086658478,
1.0021063089370728,
-0.1811949461698532,
0.18532399833202362,
0.014034083113074303,
-0.5538533926010132,
-0.2003229260444641,
0.3429429531097412,
0.23658487200737,
-0.35486799478530884,
-0.19066300988197327,
-0.1841985285282135,
-0.9897329211235046,
0.385710954666137... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: આપણને જે બહુમૂલ્ય લોકતંત્ર મળ્યું છે તેને આપણે બહુ જ સરળતાથી granted માની લઈએ છીએ પરંતુ, આપણે સ્વયં એ યાદ અપાવતા રહેવું જોઈએ કે આપણું લોકતંત્ર બહુ જ મહાન છે અને આ લોકતંત્રને આપણી નસેનસમાં જગ્યા મળી છે – સદીઓની સાધનાથી, પેઢી દર પેઢીના સંસ્કારોથી, એક વિશાળ વ્યાપક મનની અવસ્થાથી
Solution: আমরা বিশ্বাস করি যে আমরা একটি খুব সহজে মঞ্জুর পেয়েছি, কিন্তু আমাদের নিজেকে স্মরণ করিয়ে দিতে হবে যে, আমাদের গণতন্ত্র খুব বড় এবং এই গণতন্ত্র আমাদের নাসেনের মধ্যে একটি স্থান পেয়েছে - প্রজন্মের প্রজন্মের প্রজন্ম থেকে, একটি বিশাল ব্যাপক মন থেকে
Explanation: Correct translation for given sentence. Input sentence means 'We believe that we have received a very easily granted, but we should remind yourself that our democracy is very great and this democracy has got a place in our nassen - from the centuries, from the generation of generation, a hugeComprehensive mind' which is the same as the output sentence.
Problem: તેમણે દેશને આત્મવિશ્વાસ પાછો અપાવ્યો.
Solution: | তিনি এই আত্মমর্যাদাবোধকেই দেশে ফিরিয়ে আনেন। | 4 | NIv2 | task1068_pib_translation_gujarati_bengali | fs_opt | [
-0.05985935777425766,
-0.07178574800491333,
0.4542166590690613,
-0.3242335021495819,
-0.1527482271194458,
-1.700148105621338,
0.3050244152545929,
0.12641340494155884,
-0.03851119801402092,
-0.10661035776138306,
-0.720278263092041,
0.25129544734954834,
-0.9678097367286682,
0.162279814481735... |
Definition: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. The four incorrect answers are other holding statements. You should find the correct option. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
Input: two for support). The fallacy of this position is that it confuses and commingles two conflicting strands of case law which follow opposing judicial routes. As noted above, in every case cited by the majority in footnote two, the fruits of a search were deemed admissible only after the search was found to be constitutional, i.e., distinctions as to admissibility of the fruits of a particular search against the consenting occupant and the nonconsenting occupant were never drawn. There is no authority for the majority’s proposition that the fruits of an unconstitutional search should be admitted into evidence. Indeed such a proposition violates one of the founding principles of the Fourth Amendment. See Wong Sun v. United States, 371 U.S. 471, 83 S. Ct. 407, 9 L. Ed. 2d 441 (1963) (<HOLDING>). Most commentators also agree failure to
Holding statements: (A) holding that evidence obtained by improper search or seizure is inadmissible (B) holding that the physical fruits of a miranda violation must be suppressed (C) holding that evidence resulting from an unconstitutional search or seizure must be suppressed (D) holding that regardless of the applicable framework defendants statement must be suppressed (E) holding that the evidence obtained as part of an illegal stop should have been suppressed even where the defendants consented to the search
Output: | (C) | 2 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.7887974977493286,
0.10340837389230728,
-0.3858533501625061,
0.4746541380882263,
-0.20516565442085266,
-0.8351882100105286,
0.2085140198469162,
1.0151960849761963,
-0.16603738069534302,
-0.3864266276359558,
-0.7215830683708191,
-0.32305365800857544,
-0.5609309077262878,
-0.109302639961242... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Gott spricht zu uns mit Worten und Konzepten, die wir verstehen können.
Output: | Daniel spricht zu uns mit Worten und Konzepten, die wir zusammenfassen können. | 1 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.5021291971206665,
0.955873966217041,
0.3796488046646118,
-0.21612928807735443,
-0.46015769243240356,
-0.6204428672790527,
0.7695361375808716,
0.6836099624633789,
0.31145063042640686,
-0.10118529200553894,
-0.7217541337013245,
0.02468188665807247,
-0.6453309059143066,
-0.0377593897283077... |
TASK DEFINITION: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is the identified object of that sentence.
PROBLEM: The Ganges is a river in India.
SOLUTION: Ganges
PROBLEM: "episode four had a run time of 24:18.
SOLUTION: 24:18
PROBLEM: John b. mckay was the pilot with a max altitude of 55.9 miles.
SOLUTION: | 55.9
| 8 | NIv2 | task1413_dart_object_identification | fs_opt | [
-0.02786070853471756,
0.5407729148864746,
-0.15232473611831665,
-0.6292508244514465,
-0.3664036691188812,
-0.5685547590255737,
0.8402097225189209,
0.18788127601146698,
0.014386462047696114,
-0.2196294367313385,
-1.3010647296905518,
-0.07112051546573639,
-0.09308935701847076,
0.093218728899... |
Detailed Instructions: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: ブリジット・ジラルダンの、海外大臣（フランスの海外県と海外領）から（国際）協力への異動は、フランス領ポリネシアでのガストン・フロッセとその政敵オスカー・テマルとの間に起きた危機の動機となった可能性もある。
Lao: ເຫດການທັງສອງໄດ້ເກີດຂຶ້ນໃນ ຍົນໂບອິ້ງ 777-200ER ສ້າງໂດຍ ໂຣລສ໌-ຣອຍສ໌ RB211 ທີ່ມີເຄື່ອງຈັກຮູບແບບ ເທຣນ 800.
A: | No | 9 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.8620320558547974,
-0.03546525165438652,
0.25184646248817444,
0.20070132613182068,
0.33588528633117676,
-0.3898123502731323,
0.009794401004910469,
0.23744064569473267,
-0.07779397070407867,
-0.17235681414604187,
-0.564655065536499,
0.4407212734222412,
-0.4142935574054718,
0.4170727133750... |
You will be given a definition of a task first, then some input of the task.
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific instance of Y. If niether COORD nor HYPER are applicable then the relationship is RANDOM.
X: potato, Y: produce
Output: | HYPER | 1 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.09645067155361176,
0.22407075762748718,
0.11182638257741928,
0.2995668053627014,
-0.48440444469451904,
-0.03055255115032196,
0.4047396779060364,
0.6715663075447083,
0.27729180455207825,
-0.5043647885322571,
-1.3667140007019043,
-0.24421635270118713,
-0.27072957158088684,
0.0110306302085... |
Teacher:In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Teacher: Now, understand the problem? Solve this instance: ['x', 7079, 4739, '1621', 'w', 'q', 'f', 8821], ['f', 'S', '1621', 'w', 'q', 'i', 2505]
Student: | 1621, w, q | 6 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.31943145394325256,
0.44095492362976074,
-0.07691609859466553,
-1.3404803276062012,
-0.32562345266342163,
-0.14850929379463196,
0.19463378190994263,
-0.16287949681282043,
-0.008448611944913864,
-0.07656031847000122,
-0.2265721559524536,
0.3035373091697693,
0.08530101180076599,
-0.4745765... |
Part 1. Definition
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Part 2. Example
Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
Answer: What did Tracy do with her neck?
Explanation: The question asked is relevant and can be directly answered by referring to the phrase "so Tracy cracked her neck" from the passage.
Part 3. Exercise
Riley turned the stove off every time she finish cooking.
Answer: | How would you describe Riley? | 7 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.26138561964035034,
0.755557656288147,
-0.15980945527553558,
0.1154523715376854,
0.03135047107934952,
-0.061498239636421204,
0.8572081923484802,
0.29909834265708923,
0.2275206595659256,
0.31749436259269714,
-0.386322021484375,
-0.10727020353078842,
-0.5811382532119751,
0.11148116737604141... |
Teacher:In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Teacher: Now, understand the problem? Solve this instance: Sentence1: Mike's computer crashed every 20 minutes. Sentence2: But he did not know the cause. Sentence3: At night however, his computer was more stable. Sentence4: And he realized how cold the night was.
Student: | Mike then knew he had to cool down his computer some how. | 6 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.6249712705612183,
0.6205211877822876,
0.363945871591568,
-0.7499104738235474,
-0.038547083735466,
-0.4919999837875366,
0.5736796259880066,
0.03070661798119545,
0.16842049360275269,
0.2855367660522461,
-0.3330632448196411,
-0.3887453079223633,
-0.3419727683067322,
-0.3949371874332428,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Context: Patrik Baboumian, vegan, holds the world record for most weight ever carried by a human at 1216lbs Kaden Ⓥ (@NotKadenZ) 7 June 2016 Question: how much weight did baboumian carry?
Output: | 1216 lbs | 1 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
0.041755303740501404,
0.2853209376335144,
-0.37037426233291626,
0.05268791317939758,
-0.6927386522293091,
0.02115556411445141,
0.9522119760513306,
-0.23323041200637817,
0.32557591795921326,
0.08687883615493774,
-0.6916197538375854,
0.7412734031677246,
-0.7028236985206604,
0.395472735166549... |
TASK DEFINITION: Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
PROBLEM: People drop what they are doing and flee.
SOLUTION: The train passes by revealing a crowd of men wielding clubs, knives, and axes running towards them.
PROBLEM: The child is sliding down the slide opening.
SOLUTION: The man is sitting down.
PROBLEM: We see a man in a garden with a cart.
SOLUTION: | We see images of flowers on a postcard.
| 8 | NIv2 | task455_swag_context_generation | fs_opt | [
0.14475581049919128,
0.4500538110733032,
-0.9700877666473389,
-0.3691380023956299,
-0.2087699919939041,
0.25743985176086426,
1.0004847049713135,
0.3117126524448395,
0.4072962999343872,
-0.3191347122192383,
-0.5640628337860107,
0.20315000414848328,
-1.1680828332901,
0.3849976062774658,
0.... |
You will be given a definition of a task first, then some input of the task.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
Context: It was like his lips were heaven . I wish the kiss would last forever but then it stopped as he moved his head back away from mine . I still had my fingers tangled in Pete 's hair and I was slowly bringing his head down towards mine so slowly that Pete did n't even notice .
Question: What would Pete and I do next before heading back off into our separate lives ?
Correct Answer: We would caress each other lovingly .
Output: | He would pull away and fix his hair . | 1 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.16343870759010315,
1.1090103387832642,
0.14937031269073486,
-0.14616593718528748,
0.3028390407562256,
-1.047960877418518,
0.5010391473770142,
0.046612367033958435,
-0.3520805239677429,
0.1346600353717804,
-0.40955057740211487,
-0.2623932957649231,
-0.4057752788066864,
-0.2909181416034698... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX goes along for the ride<sep>Tail: PersonX watches a dallas cowboys game
Output: | Yes | 2 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.3988417387008667,
0.13231363892555237,
-0.15849904716014862,
0.3145720958709717,
-0.6663908958435059,
-0.599873423576355,
1.1532883644104004,
0.27583909034729004,
-0.3154487609863281,
-0.5885438323020935,
-0.5252425670623779,
-0.23363271355628967,
-0.423431932926178,
0.32010072469711304,... |
You will be given a definition of a task first, then some input of the task.
You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage.
Devil May Cry 5 is an upcoming action-adventure hack and slash video game developed and published by Capcom. It is a continuation of the mainline series which began with Devil May Cry in 2001, to its most recent entry Devil May Cry 4, which was released in 2008.
Output: | is devil may cry 5 after devil may cry 2? | 1 | NIv2 | task381_boolq_question_generation | zs_opt | [
0.5057576298713684,
-0.38510632514953613,
-0.30986911058425903,
0.5059490203857422,
-0.24308599531650543,
0.40587157011032104,
0.6475436687469482,
0.6352390646934509,
0.14736473560333252,
0.25893905758857727,
-0.04530906677246094,
-0.45284759998321533,
-0.2226143479347229,
0.17972816526889... |
TASK DEFINITION: In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
PROBLEM: Preheat oven to 350 degrees., Cook pasta according to package directions and drain., Meanwhile, in large skillet, cook meat, onion, and garlic until meat is cooked thoroughly and drain., In large bowl, stir together meat mixture, pasta, spaghetti sauce, wine, and seasoning., Pour into 13 x 9 inch baking dish., Sprinkle with cheese and bake for 30 minutes or until hot and bubbly.
SOLUTION: pasta, ground beef, onion, garlic, sauce, dry red wine, basil, oregano, mozzarella cheese
PROBLEM: preheat oven to 350 degrees, then shred zucchini and mash banana., set aside., in a large bowl, beat together eggs, oil, sugar, and applesauce., add flour, baking powder, baking soda, cinnamon, salt, vanilla, and mix., add zucchini and banana and mix until totally combined., pour batter into two greased and floured loaf pans., bake for 35-45 minutes, or until a toothpick comes out clean when inserted in the center., allow to cool for 10 minutes before removing completely to a wire rack.
SOLUTION: eggs, olive oil, applesauce, brown sugar, flour, bran, baking powder, baking soda, ground cinnamon, salt, vanilla, zucchini, banana
PROBLEM: Preheat your oven to 400° F., Spread chicken carcass, wings, and feet (if you have them), onion halves, garlic, and carrots on sheet trays and roast until carcass is deeply golden brown, about 30 minutes. Pour off the drippings and reserve them for another use (like gravy)., Add the roasted carcass, wings, feet (if using), and vegetables to a medium stockpot along with celery, thyme, bay leaf, and peppercorns. Add water until ingredients are just submerged. Bring this mixture up to a boil over medium heat and then reduce it to a simmer., Simmer, covered, for three hours. With about twenty minutes left, add the 1/2 lemon if you're using it., Simmer for twenty more minutes, and strain.
SOLUTION: | Carcass, yellow onion, head of garlic, carrots, celery stalks, thyme, bay leaf, black peppercorns, lemon, Salt
| 8 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.7567014694213867,
0.04022158309817314,
-0.8992493152618408,
0.8237946629524231,
-0.07388593256473541,
0.269803911447525,
1.392998218536377,
0.7616118788719177,
-0.16070213913917542,
-0.057328857481479645,
0.18407924473285675,
0.3818029761314392,
-0.12901946902275085,
0.5497782230377197,
... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
Q: ['2821', 'Y', '2391', 'Q', 'E', 'i', '2549', '5629', 'C', '5443', '2973', '965', '7097', '1439', 'A', '8121', 'Q', '2817', 'X', '2931', '571', 'C', 'e', '3567', 's', 'j', 'k', 'w', 'e', 'B', '2003', '9095', '3927', '3073', '3079', '5375', '2133', 'y', '2433']
A: | Numbers Win | 4 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.11295227706432343,
0.652231752872467,
-0.4464353322982788,
-0.09139318764209747,
-0.5260629653930664,
-0.6576204895973206,
0.38120418787002563,
-0.08968344330787659,
-0.30761656165122986,
0.6309840083122253,
-1.0161614418029785,
0.17809420824050903,
-0.13351085782051086,
0.0729374811053... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.
[EX Q]: Fact: recycling has a positive impact on where organisms live.
Question: What has a positive impact on where organisms live?
Correct Answer: recycling.
[EX A]: deforestation.
[EX Q]: Fact: Ethologists usually study how animals behave in their habitats.
Question: Ethologists usually study how what behaves in their habitats?
Correct Answer: animals.
[EX A]: fishermen.
[EX Q]: Fact: Insulated material can help prevent hypothermia.
Question: What can help prevent hypothermia?
Correct Answer: insulated material.
[EX A]: | air conditioning.
| 6 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.26831305027008057,
0.4329861104488373,
-0.4415407180786133,
0.6246080994606018,
0.06703075766563416,
-1.7670645713806152,
-0.05800598859786987,
0.7712444067001343,
-0.7579720616340637,
0.18996074795722961,
-0.9838047027587891,
0.3940691351890564,
-0.6893401741981506,
0.19965988397598267,... |
Translate the given Spanish text to English
Ex Input:
The first antenna is disposed in electrical communication with the output terminals of the chip.
Ex Output:
La primera antena se dispone en comunicación eléctrica con los terminales de salida del chip.
Ex Input:
The first configuration is distinct from the second configuration.
Ex Output:
La primera configuración es distinta de la segunda configuración.
Ex Input:
The band heater includes a cable and a band.
Ex Output:
| El cinturón calefactor incluye un cable y un cinturón.
| 1 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.5881210565567017,
-0.3366040587425232,
-1.0189327001571655,
0.7355915307998657,
-0.39438581466674805,
-0.8299258947372437,
0.09351296722888947,
0.6891430020332336,
0.4016844630241394,
0.3857726454734802,
-0.09841370582580566,
0.10788708925247192,
-0.06598129868507385,
-0.397640407085418... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
One example: ['238', 'h', '92', 'U', '2799']
Solution is here: 2, 4
Explanation: Here, the alphabetical elements in the input list are 'h' and 'U' and they are at positions '2' and '4', respectively.
Now, solve this: ['O', 'G', '4121', 'M', '8523', 'G', '669', 'f', 'V', '6969', 'B', 'A', 'G', '2895', '321', '549', '6717', 'o', '5347', 'K', 'U', '5567', '8981', '8015', 'm', 'X', 'N', 'F', 'y', 'u', 'H', 'q', 'c']
Solution: | 1, 2, 4, 6, 8, 9, 11, 12, 13, 18, 20, 21, 25, 26, 27, 28, 29, 30, 31, 32, 33 | 6 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.15224885940551758,
-0.1218232735991478,
-0.2509906589984894,
-0.548594057559967,
0.5708035230636597,
-0.9497390985488892,
0.8155438899993896,
0.4919184446334839,
-0.3716641068458557,
0.23070794343948364,
-0.7025805711746216,
0.10666600614786148,
0.1042507216334343,
0.30090850591659546,
... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Jayden entered the playroom. Aria entered the playroom. The persimmon is in the blue_treasure_chest. Jayden moved the persimmon to the red_bottle. Where will Aria look for the persimmon? | red_bottle | 0 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
0.4751875400543213,
0.01678147166967392,
-0.09506937861442566,
-0.32014623284339905,
-0.47545307874679565,
-0.5739142894744873,
0.638896107673645,
0.1968422532081604,
0.30366939306259155,
-0.5346710681915283,
-0.3570713996887207,
0.676772952079773,
-0.1695742905139923,
0.21073883771896362,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
De Britse premier David Cameron noemt de TTIP een ‘once in a generation prize’ en wijst op de potentiele winst van 80 miljard pond (125,5 miljard dollar) voor zowel de EU en de VS en 85 miljard pond voor de rest van de wereld.
Solution: O Primeiro-Ministro britânico, David Cameron, designou a TTIP como “uma recompensa que surge apenas uma vez ao longo de uma geração”, referindo os ganhos potenciais no valor de 80 mil milhões de libras esterlinas (125,5 mil milhões de dólares) para a UE, um montante idêntico para os EUA e 85 mil milhões de libras esterlinas para o resto do mundo.
Why? The given translation is precise and accurate with proper nouns preserved.
New input: Vandaag de dag zou Liddell Hart het Westen waarschijnlijk adviseren zijn inspanningen te beperken tot het helpen van de Koerdische strijders in het Midden-Oosten en van de Oekraïense regering in Oost-Europa.
Solution: | Hoje, Lidell Hart encorajaria provavelmente o Ocidente a concentrar os seus esforços na ajuda aos combatentes Curdos no Médio Oriente, e a ajudar o governo da Ucrânia na Europa Oriental. | 0 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.025297049432992935,
0.6002703905105591,
-0.13426031172275543,
-0.005217595025897026,
-0.3927469849586487,
0.17549163103103638,
0.1295156031847,
0.6527117490768433,
0.4041822552680969,
-0.12157098948955536,
-0.32552722096443176,
0.9096980690956116,
-0.9265977144241333,
0.0797521770000457... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable by a human. All triple values need not be used directly in the sentence as long as the facts are adequately captured.
Q: [['Der Fremdenfuhrer', 'PREMIÈRE_DATE', '11 October 1902'], ['Der Fremdenfuhrer', 'PLACE,_THEATRE', 'Vienna, Theater an der Wien'], ['Der Fremdenfuhrer', 'SUB\xadDIVISIONS', 'Prologue and 3 acts']]
A: Der Fremdenführer: Prologue and 3 acts premiered on 11 October 1902 at the Theater an der Wien in Vienna.
****
Q: [['Indonesia', 'LEADER_NAME', 'Joko Widodo']]
A: Joko Widodo is the leader of Indonesia.
****
Q: [['[TABLECONTEXT]', '[TITLE]', 'Alabama Crimson Tide baseball'], ['J. W. H. Pollard', 'YEARS', '4'], ['66-22-1', 'PCT.', '.747'], ['[TABLECONTEXT]', 'COACH', 'J. W. H. Pollard'], ['J. W. H. Pollard', 'RECORD', '66-22-1']]
A: | Coaching Alabama Crimson Tide baseball for four years, J. W. H. Pollars had a record of 66-22-1 and a .747 percentage.
****
| 4 | NIv2 | task1409_dart_text_generation | fs_opt | [
0.3646059036254883,
0.2823627293109894,
-0.8443516492843628,
0.31496840715408325,
0.22220975160598755,
0.33364740014076233,
1.0051159858703613,
-0.38553524017333984,
0.08357658982276917,
0.07471916079521179,
-0.4201948344707489,
0.40787172317504883,
-0.2802762985229492,
-0.0019798327703028... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presented with comma separated numbers inside two brackets.
[-89, 18, 29, -69, -4]
[267, 36, 58, 207, 12]
[14, 18]
[28, 36]
[-17, 78, 41, -84, -19, -43]
| [51, 156, 82, 252, 57, 129]
| 0 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.6552208662033081,
0.1984347701072693,
-0.10173361003398895,
-0.3121838867664337,
0.09831659495830536,
-0.33302080631256104,
0.9952608346939087,
0.30861765146255493,
-0.5511602163314819,
0.38310691714286804,
-0.8602510690689087,
-0.06512163579463959,
-0.48164868354797363,
-0.438037514686... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Sentence: Grain elevators built * in the 1920s and '30s have six-inch concrete walls and a tubular shape that *T*-1 would easily contain semicircular cells with a control point in the middle , the New York firm says {{ 0 }} *T*-2 .
Word: 0 | X | 0 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.2504567801952362,
0.1838247925043106,
-0.23357343673706055,
0.19238179922103882,
-0.10375861823558807,
-0.539969801902771,
0.6426337957382202,
0.8382447957992554,
-0.3094906508922577,
-0.041185371577739716,
-0.8243186473846436,
0.2948404848575592,
-0.6564040184020996,
0.20112551748752594... |
Q: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question.
Question: How many games did the Los Angeles Rams win the last year Cowan played for them? Passage:Charles Edward Cowan (June 19, 1938 in Braeholm, West Virginia – April 29, 1998 in Los Angeles, California) was an American football offensive tackle who played fifteen seasons in the National Football League with the Los Angeles Rams from 1961 to 1975. Cowan was a huge intimidating presence on the left of Tom Mack, a member of the Pro Football Hall of Fame, from 1966 to 1975, forming a potent left side of the offensive line, with help from Ken Iman at center from 1965 to 1975. In that 1961 to 1975 span, the Rams made the playoffs 5 times (1967,1969,1973,1974,1975), reaching the NFC championship game of the 1974-75 NFL playoffs and the 1975-76 NFL playoffs, but losing to the Minnesota Vikings and to the Dallas Cowboys, respectively. In the 1974 divisional round, the Rams defeated the Washington Redskins, as Cowan was successful against the opposing the right defensive end Verlon Biggs. In the 1975 divisional round, Doug France started in his place as the Rams defeated the St. Louis Cardinals. Cowan came back to play against the Cowboys, his final game, as the Rams could not get past them. Cowan was replaced by Doug France in 1976.
Links: a. Los Angeles Rams b. West Virginia c. Tom Mack d. Tom Mack
A: | a | 7 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.8954280018806458,
-0.1753864288330078,
-0.709246039390564,
-0.0046319193206727505,
0.474371999502182,
-0.5429706573486328,
0.4229393005371094,
0.5939691066741943,
-0.03928481414914131,
0.06708940118551254,
-0.03455269709229469,
0.361020565032959,
-0.29759055376052856,
0.08298509567975998... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Q: 5, 27, ['r', 'F', 'a', 'c', '7417', 'M', '7533', 'l', 'N', '8745', '3303', '9669', 'O', '4625', '3565', '1063', '3617', '661', 'k', 'o', '6187', 'c', 'x', 'h', 'e', 'W', '75']
A: 7417M7533lN874533039669O4625356510633617661ko6187cxheW75
****
Q: 4, 8, ['R', 'D', 'x', 't', '6721', 'w', 'V', 'v', '6427', 'L', '2487', 'W', '7339', '9515', 'a', 'I', 'E', '3897', '4869']
A: t6721wVv
****
Q: 7, 22, ['k', '9273', 'W', '4185', '4251', '3085', '7455', 'n', '7557', '5363', '7551', 'x', '1147', 'Q', '577', 'Q', '4867', 'e', 'p', '3105', '7943', 'w', '4583', '8291']
A: | 7455n755753637551x1147Q577Q4867ep31057943w
****
| 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.2120564579963684,
0.314717173576355,
-0.3734811544418335,
-0.0736253559589386,
-0.09472186863422394,
-0.7381303310394287,
0.5774692296981812,
0.3756554126739502,
-0.7311651706695557,
0.24835839867591858,
-0.8723779916763306,
-0.024867631494998932,
-0.34197306632995605,
0.249384030699729... |
Teacher:In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Teacher: Now, understand the problem? Solve this instance: Hypothesis: It's good to look out for the welfare of animals.
Update: You are neglecting humans.
Student: | weakener | 6 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.4318581223487854,
0.12636204063892365,
-0.04452138394117355,
0.2376004159450531,
-0.1591271162033081,
-1.1538771390914917,
0.6755930781364441,
1.1808080673217773,
0.1177448183298111,
-0.47110962867736816,
-1.2487828731536865,
-0.0050346809439361095,
-0.6347362399101257,
-0.1753767132759... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Title: Broken Glasses. Sentence 1: Tim decided to buy plastic cups. Sentence 2: He broke so many that he had nothing to drink out of. Sentence 3: Tim was very clumsy. Sentence 4: He still spilled them but they didn't break. Sentence 5: He constantly dropped glasses.
35214
Title: The Turkey. Sentence 1: He watched the weird creature wander around the yard. Sentence 2: Terry couldn't believe what he had just seen! Sentence 3: Terry heard a funny noise outside. Sentence 4: Finally, it went back into the woods. Sentence 5: It was a wild turkey!
35142
Title: Game Shows. Sentence 1: Either way game shows is always entertaining. Sentence 2: They are always entertaining. Sentence 3: I like watching people win and get excited. Sentence 4: I do have a guilty pleasure seeing others fail. Sentence 5: I love watching game shows.
| 52341
| 0 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
-0.3865116238594055,
-0.1646355390548706,
-0.27543172240257263,
0.06474067270755768,
0.17220741510391235,
-0.25383955240249634,
0.4315287470817566,
0.5432271957397461,
-0.31807148456573486,
0.266772598028183,
-0.6223747730255127,
0.06109515577554703,
-0.9460290670394897,
0.3090478181838989... |
Instructions: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Input: Paragraph: To automate examination of massive amounts of sequence data for biological function, it is important to computerize interpretation based on empirical knowledge of sequence-function relationships. For this purpose, we have been constructing a knowledge base by organizing various experimental and computational observations as a collection of if-then rules. Here we report an expert system, which utilizes this knowledge base, for predicting localization sites of proteins only from the information on the amino acid sequence and the source origin. We collected data for 401 eukaryotic proteins with known localization sites (subcellular and extracellular) and divided them into training data and testing data. Fourteen localization sites were distinguished for animal cells and 17 for plant cells. When sorting signals were not well characterized experimentally, various sequence features were computationally derived from the training data. It was found that 66% of the training data and 59% of the testing data were correctly predicted by our expert system. This artificial intelligence approach is powerful and flexible enough to be used in genome analyses.
Title: A Knowledge Base for Predicting Protein Localization Sites in Eukaryotic Cells
Output: | True | 3 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.13484391570091248,
0.009865056723356247,
-0.7861893773078918,
-0.11772336810827255,
-0.4233699440956116,
-0.356967568397522,
0.8600795865058899,
0.5962026119232178,
0.6985331177711487,
0.31515997648239136,
-0.9766367077827454,
0.5520444512367249,
-0.6807976961135864,
0.4193238914012909,... |
Part 1. Definition
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable by a human. All triple values need not be used directly in the sentence as long as the facts are adequately captured.
Part 2. Example
[['Northwestern College', 'NICKNAME', 'Red Raiders'], ['Northwestern College', 'LOCATION', 'Orange City, Iowa']]
Answer: The team whose nickname is red raiders is located in the orange city, iowa
Explanation: This sentence uses the triplets by correctly using the (subject, predicate, object) semantics for both the triplets provided. Since college teams are popularly associated with nicknames, some information in the generated sentence can be inferred. In this case, Northwestern College was replaced with the team automatically.
Part 3. Exercise
[['Armenia', 'TOTAL', '4'], ['Armenia', 'RANK', '9']]
Answer: | 1995 World Wrestling Championships rank is 9 and nation is armenia. | 7 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.035424165427684784,
0.07832751423120499,
-0.6372759342193604,
-0.5061042904853821,
0.07434441149234772,
0.06002487242221832,
0.7950257658958435,
0.9812042713165283,
-0.25873899459838867,
0.21800749003887177,
-0.5256611704826355,
-0.0611959733068943,
-0.5929499864578247,
-0.3507677018642... |
Detailed Instructions: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.
Q: Passage: Synthetic crude oil, also known as syncrude, is the output from a bitumen upgrader facility used in connection with oil sand production in Canada. Bituminous sands are mined using enormous (100 ton capacity) power shovels and loaded into even larger (400 ton capacity) dump trucks for movement to an upgrading facility. The process used to extract the bitumen from the sand is a hot water process originally developed by Dr. Karl Clark of the University of Alberta during the 1920s. After extraction from the sand, the bitumen is fed into a bitumen upgrader which converts it into a light crude oil equivalent. This synthetic substance is fluid enough to be transferred through conventional oil pipelines and can be fed into conventional oil refineries without any further treatment. By 2015 Canadian bitumen upgraders were producing over 1 million barrels (160×10^3 m3) per day of synthetic crude oil, of which 75% was exported to oil refineries in the United States. Question: What is synthetic crude oil usually called?
A: | syncrude | 9 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
0.10226370394229889,
0.09042778611183167,
-0.2677485942840576,
-0.060059554874897,
-0.11196158826351166,
-1.1206598281860352,
0.9055155515670776,
1.1248053312301636,
-0.019137825816869736,
0.9693409204483032,
-0.15718083083629608,
-0.11991815268993378,
-0.8465031385421753,
0.08895558118820... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Example input: Timothy likes to play sports. He spends his time after school playing basketball and baseball. Sometimes Timothy pretends he is a famous baseball pitcher for his favorite team with his friends. He plays with his friends Mandy and Andrew. Timothy also plays pretend when he is alone. He has an imaginary friend named Sean. Sean is an elephant who watches television with Timothy. Mandy likes playing baseball but she also likes to paint. Mandy's favorite class at school is art. She likes making pictures of flowers. Her teacher says she is a good artist. She painted a picture of a tree for her teacher. There were red and yellow leaves on it. It had apples on it. When Andrew goes home after baseball, he likes to eat a snack. He eats carrots and bananas. If he is a good boy his mom, Mrs. Smith, sometimes gives him milk and cookies. Afterwards, Andrew finishes his homework. <sep>Who does Timothy play with?<sep>Basketball and baseball
Example output: No
Example explanation: Based on the passage Timothy plays with his friends Mandy and Andrew. So, the given answer is incorrect and the output should be "No".
Q: While the Base Ball writers of the cities which comprise the Southern Association have no organized membership similar to the Base Ball Writers' Association of the major leagues and the organizations which are best known as the class AA leagues, they are a clever, hard-working group of young men, who have labored in season and out of season, not only to build up Base Ball but to build it up on the right lines. Experience of more than a quarter of a century has most abundantly proved that the standard of Base Ball has steadily been elevated. It needs no compilation of fact nor any dogmatic assertion on the part of the Editor of the GUIDE to attest that fact. It is a present condition which speaks for itself. The general tone of the players is far higher than it was and there has come into evidence a marked improvement in the spirit of the men who own Base Ball clubs. In the earlier history of the sport there was a tendency to win by any means that did not actually cross the line of dishonesty. Later there came a season when the commercial end of the game tended to encroach upon the limits of the pastime. This has been repressed in the last two seasons and to-day the morale of Base Ball is of a higher type than it ever has been in the history of the pastime. <sep>What characteristics of the pastime of baseball has been repressed?<sep>When commercial end of the game encroached on limits of pastime
A: | Yes | 3 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.44151967763900757,
0.10111357271671295,
-0.26401591300964355,
-0.10728508234024048,
0.15213558077812195,
-0.6843835115432739,
0.6582311987876892,
0.40722739696502686,
0.1966412216424942,
-0.2595040202140808,
-0.2832484841346741,
0.5571115016937256,
-0.5545563697814941,
-0.216514781117439... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
ブロンズは程よい固さと丈夫さがあり、地面に転がすことができます | O bronze é material bom, duro, resistente que poderia rolar pelo chão. | 0 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.14808973670005798,
1.1119627952575684,
-0.11255216598510742,
-0.17849868535995483,
-0.20332953333854675,
-0.5001415610313416,
0.12251698970794678,
0.5350794792175293,
0.7527116537094116,
-0.12752403318881989,
-1.109663724899292,
1.2258719205856323,
-0.3875885605812073,
0.811048328876495... |
Given a paragraph about movies, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
--------
Question: CONTEXT: I don't think it had any plot driven change. The Bond franchise was feeling threatened by newer spy movies (such as the Bourne series) which have more action, (slightly) more plausible plots (compared to ray-gun satellites etc), and have less comedic elements. A reboot with a new younger actor and a deliberate step away from some of the conventions of the franchise (gadgets & moneypenny for example) were their answer. They tried to take it this direction before - a Licence to Kill was a deliberate attempt with a drug-smuggling and revenge plot-line, but wasn't well done. They then decided to switch back to more 'classic' Bond approaches with Brosnan. <sep> Q: Why is James Bond less tech savvy in the Daniel Craig movies? A: The Bond franchise was feeling threatened by newer spy movies (such as the Bourne series) which have more action
Answer: Were the movies altered to suit the audience?
Question: CONTEXT: The short answer, which is probably the best answer, is that he was an experienced hunter and wanted to hunt "the most dangerous game"; a combat soldier. You'll note that he never kills unarmed humans (which is why Anna got sent to the chopper unarmed), and at the conclusion he decided to engage in hand-to-hand combat against Dutch, whom he deemed to be a worthy opponent. <sep> Q: Why did the first Predator come to Earth? A: The short answer, which is probably the best answer, is that he was an experienced hunter and wanted to hunt "the most dangerous game"; a combat soldier
Answer: I only know a little bit about Predator lore/fandom. Was he hunting for a rite of passage?
Question: CONTEXT: Being choked unconscious can result in short term memory loss. It is likely that Harvey Dent may not remember Rachel asking or the question. Or the assault. Choking someone out doesn't knock them out for very long either. It is possible Batman drugged Dent inside the panic room and then took him home later and he woke up in his own bed. <sep> Q: Did Harvey Dent know that it was Bruce Wayne who locked him up? A: It is likely that Harvey Dent may not remember Rachel asking or the question Q: Who did Harvey think locked him up? A: Rachel
Answer: | Who actually locked Harvey up?
| 7 | NIv2 | task1440_doqa_movies_question_generation | fs_opt | [
0.3592432141304016,
-0.07728493213653564,
-0.28375571966171265,
-0.21201172471046448,
0.3621671497821808,
-0.7488960027694702,
0.8066778779029846,
0.3909011483192444,
-0.0281403586268425,
-0.07131855189800262,
-0.32350993156433105,
0.3319545388221741,
-0.8907896280288696,
0.171423763036727... |
Teacher:Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Teacher: Now, understand the problem? Solve this instance: The firm generated sales of 187 mln eur in 2005 .
Student: | neutral | 6 | NIv2 | task843_financial_phrasebank_classification | zs_opt | [
-1.0835049152374268,
-0.08923621475696564,
-0.24942608177661896,
-0.04023006558418274,
0.03760911524295807,
0.6023813486099243,
-0.425648957490921,
0.7592753171920776,
0.3868388533592224,
0.21048200130462646,
-0.1139364242553711,
0.32182544469833374,
-0.10266438871622086,
-0.81060576438903... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story.
Premise: Benny was a dog that grew up with a family.
Initial Context: One day Benny got out of the house and ran far.
Original Ending: Benny for lost and scared. He sniffed around and looked for his family. Eventually his family found him in the woods.
Counterfactual Context: One day Benny got out of the house and ran in the yard.
Benny's owner played with him. The dog sniffed around and looked for his bone. Eventually his family found his bone.
Premise: Tiffany was excited to go to college in Florida.
Initial Context: She was happy to have two really cool roommates.
Original Ending: The three of them became very close friends. They would help each other study, eat together, and hang out too. Tiffany missed them terribly on her first trip home for winter break.
Counterfactual Context: She was happy to have one really cool roommate.
The two of them became very close friends. They would help each other study, eat together, and hang out too. Tiffany missed her roommate terribly on her first trip home for winter break.
Premise: Andy didn't like school.
Initial Context: He never did his homework.
Original Ending: He didn't get very good grades. He turned in his college application. He was rejected.
Counterfactual Context: After high school, he decided to join the Navy and did well there.
| He got very good marks. He turned in his seargent application. He was rejected.
| 0 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.6399829387664795,
0.4225025773048401,
0.0235455222427845,
0.2753172516822815,
0.05973409488797188,
-1.2283542156219482,
0.3948974311351776,
1.064162254333496,
-0.24486088752746582,
-0.2825102210044861,
-0.6209684610366821,
0.15655812621116638,
-0.3919156789779663,
0.2450619637966156,
0... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
PROBLEM: והאם איננו אסירי תודה על כך שמוחותינו יכולים, אתם יודעים, לקחת את הפעימה החשמלית שמגיעה מאנרגיית האור ליצור דימויים שיאפשרו לנו לחקור את העולם שלנו?
SOLUTION: 私たちの脳が光エネルギーのもたらす電気信号からイメージを作り出して世界を探求できるようにしてくれるのをありがたいとは思いませんか ？
PROBLEM: כפי שבוגר אחד אמר, בקובה, "" מלמדים אותנו לספק טיפול איכותי בעזרת משאבים מוגבלים, וכשאני רואה את המשאבים שיש לנו כאן, ואומר לי שלא ניתן לספק רפואה איכותית, אני יודע שזה לא נכון.
SOLUTION: 卒業生の１人が言ったようにキューバでは「私たち医師は最小限の資源で質の良いケアを提供するように訓練されていますだからこれだけの資源を目にしてそれができないと言うのが信じられませんそれは間違いです
PROBLEM: הם חייבים לפעול כישות אחת, תא ענק אחד, ללא אגו, והמוטיבציה לזוז ולחקור את הסביבה היא בחיפוש אחרי מזון.
SOLUTION: | 一つの個体一つの巨大な細胞として自我抜きに動きます動いて周囲を探索する目的は食べ物の発見です
| 8 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
0.05265659838914871,
-0.0077843391336500645,
0.10747955739498138,
-0.599479615688324,
-0.28381896018981934,
-0.665434718132019,
1.0187654495239258,
0.2396286427974701,
-0.05733480304479599,
-0.2867904305458069,
-0.22351229190826416,
0.03060080111026764,
-0.5326457619667053,
0.2803959250450... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
[Q]: Passage: I enjoy unloading the dishwasher , because I remember when I did n't have one . Usually , I start with the top rack . If any cups or glasses up there got turned over and filled with water , I empty them and dry them . Then I put everything from that rack in its place in a cupboard or drawer . Next , I do the biggest plates , stacking them in the cupboard . Smaller plates get stacked on top of them , and then the smallest plates of all . Last , I pull out the silverware basket , and put it on the counter above the silverware drawer . Then , I pull out the silverware and serving-ware and put each piece in its spot . I check each one as I go , because dishwashers sometimes make mistakes . Question: What else does he call the glasses? Option1: cups Option2: t-shirts
[A]: cups
[Q]: Passage: I needed to visit my Grandma upstate , so I decided to take a train . I purchased my tickets online and printed out a receipt . I packed a bag . I was early , so I picked a spot on a bench and sat down . After a short while , everybody lined up to get on the train . A train worker checked all of our tickets . Then I loaded my bag overhead . Once everyone was on the train , our conductor announced that we were leaving the station . Another train worker came around and took everyone 's tickets from them . Eventually , the train conductor announced my stop . I retrieved my bag from the overhead compartment , and headed downstairs and off of the train . Question: Where did the person head too? Option1: A resort in the south Option2: Their grandma's house upstate
[A]: Their grandma's house upstate
[Q]: Passage: Yesterday I went for a walk . It was really nice and relaxing ! The best part was that I was able to go with my friends . The way we decided to go for a walk was that we had about 20 minutes of free time , and this gave us the opportunity to go for a bit of a walk on the trail behind my house . I could tell that it was going to be nice outside because the weather was around 70 degrees with no chance of rain . I saw some other people walking on the trail as well , as well as others who were riding their bikes . It was an all around great day to take a walk with friends . Question: What were they taking? Option1: A relaxing bath. Option2: A relaxing walk.
[A]: | A relaxing walk.
| 5 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.8876112699508667,
0.43572306632995605,
-0.8014010190963745,
0.17899051308631897,
-0.070854052901268,
-0.5147062540054321,
0.5508466958999634,
0.6284181475639343,
0.0574793666601181,
0.11048897355794907,
-0.15213792026042938,
-0.009853078052401543,
-0.3144277334213257,
0.33441731333732605... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Q: What variable do you test in an experiment?
A: | independent variable | 4 | NIv2 | task669_ambigqa_answer_generation | zs_opt | [
-0.7391657829284668,
0.4556283950805664,
-0.38800710439682007,
-0.10713430494070053,
-0.48244333267211914,
-0.5035713911056519,
0.671745777130127,
0.04548558220267296,
-0.2656816840171814,
-0.04013129696249962,
-0.9677290320396423,
-0.19781917333602905,
0.18161451816558838,
-0.176800459623... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
E nei prossimi minuti, vi parlerò di alcune di queste tecnologie, che al momento sono in fase di sviluppo nel mio laboratorio e in quelli dei miei collaboratori.
A: | Nos próximos minutos, falar-vos-ei sobre algumas destas tecnologias, que estão presentemente a ser desenvolvidas no meu laboratório e nos laboratórios dos meus colaboradores. | 7 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.8149381875991821,
1.096685767173767,
-0.4435003101825714,
-0.2930745780467987,
-0.4904690682888031,
-0.3581680357456207,
-0.6673246622085571,
1.2439193725585938,
0.6781271696090698,
-0.4423104226589203,
-0.31133267283439636,
0.1545414924621582,
0.3606911897659302,
0.6544554233551025,
... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
One example: [1, 8, 0, 2, 9]
Solution is here: [8, 0, 2]
Explanation: 1 and 9 are removed from the list because they are odd numbers.
Now, solve this: [-15, -40, 30, 83, 47]
Solution: | [-40, 30] | 6 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.5125637650489807,
0.658336877822876,
-0.27302345633506775,
-0.7523317337036133,
0.08867580443620682,
-0.3912813067436218,
1.3130834102630615,
0.5773377418518066,
0.1859760880470276,
0.5067734718322754,
-0.8087272047996521,
-0.24997922778129578,
-0.4593234062194824,
-0.4456351101398468,
... |
Teacher:In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Teacher: Now, understand the problem? Solve this instance: Context: riley was a architect so he designed cameron's houses.
Question: Why did Riley do this?
Options: (A) be selfish (B) compensate Riley (C) be kind
Student: | A | 6 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.2737155854701996,
0.6006447672843933,
0.3556680381298065,
-0.008701542392373085,
-0.10316091775894165,
-0.3922157883644104,
0.35114145278930664,
0.6404626965522766,
-0.24452605843544006,
0.13040593266487122,
-0.6316418647766113,
0.0372375026345253,
-0.02465597167611122,
-0.7267823219299... |
Teacher:In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Teacher: Now, understand the problem? Solve this instance: 2, ['2325', 'u', '7757', 'f', '1969', '4435', 't', '9293', 'a', '7577', 'v', '4291', 'z', '9441', 'O', 'T', '8999', 'i', 'G', '4719', '4441', 'B', '6407']
Student: | 7757, f, 1969, 4435, t, 9293, a, 7577, v, 4291, z, 9441, O, T, 8999, i, G, 4719, 4441, B, 6407 | 6 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
-0.28725919127464294,
0.04928431659936905,
-0.2642541527748108,
-0.5407470464706421,
-0.1290791630744934,
-0.291961133480072,
-0.05778221786022186,
0.20740333199501038,
-0.23269319534301758,
0.27481234073638916,
-0.5177906155586243,
-0.6315010786056519,
0.1664457619190216,
-0.2645646333694... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX acts weird<sep>Tail: confused
A: | No | 4 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.008893457241356373,
0.5205085873603821,
0.5561517477035522,
-0.6452319025993347,
-0.5933392643928528,
-0.8040512800216675,
1.3360135555267334,
0.03309173136949539,
-0.632343053817749,
-0.514664888381958,
-0.408059686422348,
-0.3047931492328644,
-0.8204772472381592,
0.3795439898967743,
... |
Detailed Instructions: In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Q: Sentence1: Stroke at 90 . At this stage, would a speech therapy help her?
Sentence2: What are some common symptoms of stroke?
A: | Dissimilar | 9 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.3201947808265686,
0.32894790172576904,
-0.02343735285103321,
-0.5383644104003906,
0.22981277108192444,
-0.1969498097896576,
0.8864169716835022,
0.6261571645736694,
0.6937552690505981,
0.4636573791503906,
-0.13220593333244324,
0.26725858449935913,
-0.27860093116760254,
0.5369649529457092... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX knows would die<sep>Tail: scared
Output: | Yes | 3 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.03193977102637291,
0.0794457271695137,
0.5221685767173767,
-0.3422287404537201,
-0.45427221059799194,
-1.2704495191574097,
1.3617268800735474,
0.3935461938381195,
-0.618643045425415,
-0.5177405476570129,
-0.37117213010787964,
-0.41606104373931885,
-0.6708008646965027,
0.6082979440689087,... |
Teacher: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context: I was told, in person over the phone, that my shoes were on their way. They have my money. I have no shoes.
Solution: What may happen before I called them?
Reason: The question can not be answered directly from context and requires commonsense.
Now, solve this instance: Context: STUFFED BEEFSTEAK . E. H. W. Take a flank or round steak and pound well ; sprinkle with pepper and salt . Make a plain dressing ; spread it on the steak ; roll it up ; tie closely , and put in a skillet with a little water and a lump of butter the size of an egg ; cover closely and let it boil slowly one hour ; then let it brown in skillet , basting frequently . When done , dredge a little flour into the gravy , and pour over the meat .
Student: | What may be a fact about this situation ? | 2 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.6981509923934937,
-0.15323790907859802,
-0.15116927027702332,
0.3549453020095825,
-0.020646434277296066,
-0.15079852938652039,
0.5580413341522217,
1.0905297994613647,
-0.2597443461418152,
-0.16755658388137817,
0.17146751284599304,
0.2934250831604004,
-0.399681955575943,
0.102291911840438... |
In this task, you will be presented with a question having multiple possible answers in French language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Une personne a rompu avec moi, qu'est-ce que j'ai maintenant ?
Options: A cœur brisé B hospitalisé C schizophrénie D la gêne E stress
A
Question: L'entraîneur a décidé de faire un changement d'alignement, l'effort de l'équipe souffrait de quoi ?
Options: A stagnation B stagnant C tradition D faim E monnaie de papier
A
Question: Où achetez-vous généralement la crème solaire sur ordonnance ?
Options: A sac de plage B épicerie C boutique D pharmacie E salon de bronzage
| D
| 0 | NIv2 | task1136_xcsr_fr_commonsense_mc_classification | fs_opt | [
0.48872071504592896,
0.5693190693855286,
-0.6714675426483154,
-0.6607394218444824,
-0.20870959758758545,
-0.8189502358436584,
0.503659188747406,
0.6016536355018616,
0.6326186656951904,
-0.36379656195640564,
-0.481555700302124,
0.3029693365097046,
0.03583728149533272,
-0.5625309944152832,
... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Q: Question: Did Ollie Murphy play for any teams other than 'the Royals'? Passage 1:Birks, a company that designs, manufactures and retails jewellery, timepieces, silverware and gifts, acquired the building in September 1912. The building was significantly reworked in 1912 to accommodate the jewellery store. The rework added distinctive Renaissance Revival palace facades designed by Percy Nobbs, featuring terracotta, granite, bronze and Tyndall stone. Above the third-floor openings are six terracotta medallions depicting the sources of the materials used by jewellers, with a seventh medallion on the north facade. These medallions depict turquoise (representing semi-precious stones), an elephant (representing ivory), a Kimberley Negro] searching for diamonds, a man diving for pearls, an oceanic wave delivering the riches of the sea (mother-of-pearl, coral and a tortoise shell), a precious metal-smelting gnome, and a silversmith surrounded by the tools of his trade. Above the medallions is a frieze depicting such characters and places as King Solomon, the Queen of Sheba, gates of Jerusalem, Hiram, king of Tyre, Negroes and an Indian, and the three wise men giving and receiving gifts. $150,000 of alterations to the ground-floor show-window area in 1951 included a granite base and Tyndall stone facings surrounding the solid bronze show windows, as well as corner columns and vestibule walls lined with Travertine marble. The building was the Winnipeg showpiece for Birks for nearly eighty years. By 1991, the basement, first, second and third floors had all been substantially altered by the Birks Company, leaving only the fourth floor of dormitories unaltered from the YMCA era. Birks continued in this building until the 1987 when it moved to Portage Place.
Passage 2:Lynch first came to prominence on the inter-county scene as a member of the Cork senior football team in the late 1990s. He made his debut in the 1998–99 National Football League, a season which saw Cork reach the final of the competition. Dublin provided the opposition at Cork's home venue, Páirc Uí Chaoimh. A close game developed, however, Cork were never really troubled. A 0–12 to 1–7 score line resulted in victory for 'the Rebels', and gave Lynch a National League winners' medal in his debut season. Later that year he made his championship debut in the provincial series as Cork cruised to a Munster final showdown with arch-rivals Kerry. The men from 'the Kingdom' were on the hunt for a fourth successive provincial title, while Cork were out for success for the first time since 1995. Cork's victory on a score line of 2–10 to 2–4 was unexpected as Lynch claimed his very first Munster winners' medal. A subsequent defeat of Mayo saw Cork book their place in the All-Ireland final against Meath. The pressure was on the Cork footballers to secure a rare double, particularly since their hurling counterparts had won the All-Ireland title a fortnight previously. Ollie Murphy's first-half goal gave 'the Royals' a huge boost at half-time. Immediately after the interval Trevor Giles missed a penalty while Joe Kavanagh responded with a goal which gave Cork a brief lead. It was not enough as Lynch's side eventually lost the game by 1–11 to 1–8. In spite of this defeat Lynch was later rewarded with an All-Star award.
Passage 3:Jean Barthélemy Claude Toussaint Darmagnac (1 November 1766 – 12 December 1855) became a French division commander during the Napoleonic Wars. In 1791 he joined a volunteer battalion and soon became a captain. He fought with the 32nd Line Infantry Demi-Brigade against the Austrians in Italy. He participated in the French campaign in Egypt and Syria, being promoted to lead the regiment after distinguishing himself at the Battle of the Pyramids. He was badly wounded at Acre and promoted to general of brigade in 1801. Darmagnac fought at Austerlitz in 1805 and led the Paris guard in 1806–1807. Going to Spain, he was wounded at Medina de Rioseco and became a general of division in 1808. After serving as provincial governor, he assumed command of a combat division at Vitoria, the Pyrenees, the Bidassoa, the Nivelle, the Nive, Orthez, and Toulouse. After holding interior commands under the Bourbon Restoration he retired in 1831. His surname is one of the names inscribed under the Arc de Triomphe, on Column 36.
A: | 2 | 4 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.4087217450141907,
0.9882042407989502,
-0.825871467590332,
-0.24178016185760498,
0.3294770419597626,
-0.22950169444084167,
0.9382283091545105,
0.8248822689056396,
-0.10277340561151505,
0.21494853496551514,
-0.11785674095153809,
0.9630828499794006,
-0.8232909440994263,
0.26159024238586426,... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Input: Sentence 1: A little black dog chases another little black dog through thick snow. Sentence 2: Dogs eating hotdogs.
Output: | Dogs playing with their master. | 2 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.9468029141426086,
0.3570709824562073,
0.3369002342224121,
-0.6018527150154114,
0.0717485174536705,
0.11436182260513306,
-0.11744187772274017,
0.6677076816558838,
0.5425116419792175,
-1.1328561305999756,
-0.9453713297843933,
-0.6839179992675781,
-0.3999497592449188,
0.35414358973503113,
... |
Part 1. Definition
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Part 2. Example
Problem: what is difference between biggest and smallest fraction among 2 / 3 , 3 / 4 , 4 / 5 and 5 / 3
Options: a ) 2 / 5 , b ) 3 / 5 , c ) 1 / 6 , d ) 1 , e ) none of these
Answer: d
Explanation: "explanation : 2 / 3 = . 66 , 3 / 4 = . 75 , 4 / 5 = . 8 and 5 / 3 = 1.66 so the biggest is 5 / 3 and the smallest is 2 / 3 their difference is 5 / 3 - 2 / 3 = 3 / 3 = 1 option d"
Part 3. Exercise
Problem: ( 9 ^ 5.6 x 9 ^ 10.3 ) ÷ 9 ^ 2.56256 = 9 ^ ?
Options: a ) 11.34 , b ) 12.34 , c ) 13.34 , d ) 14.34 , e ) 15.34
Answer: | c | 7 | NIv2 | task1420_mathqa_general | fs_opt | [
1.0781924724578857,
0.03725773096084595,
-0.40856224298477173,
0.15844905376434326,
-0.08463689684867859,
-0.16690552234649658,
1.0220556259155273,
1.0324904918670654,
-0.29354751110076904,
0.245635986328125,
-0.8850606083869934,
-0.09578254818916321,
-0.3593480587005615,
-0.02726857736706... |
instruction:
In this task you will be given a list of strings and you need to concatenate them.
question:
['k', 'know', 'F', 'boats,', 'C', 'V', 'u', 'Back_).4Of', 'a', 'k', 'I', 'devious', 'p']
answer:
kknowFboats,CVuBack_).4OfakIdeviousp
question:
['of', 'Y', 'law,', 's', 'j', 'q', 'of', 'm', 'u', 't']
answer:
ofYlaw,sjqofmut
question:
['k', 'know', 'F', 'boats,', 'C', 'V', 'u', 'Back_).4Of', 'a', 'k', 'I', 'devious', 'p']
answer:
| kknowFboats,CVuBack_).4OfakIdeviousp
| 9 | NIv2 | task079_conala_concat_strings | fs_opt | [
-0.07069849967956543,
0.5169011950492859,
-0.5804787874221802,
-0.5425359010696411,
-0.16143357753753662,
-0.7592843174934387,
0.8310182094573975,
-0.10866804420948029,
-0.10815403610467911,
0.5345384478569031,
-0.47630688548088074,
-0.21320348978042603,
-0.15682122111320496,
0.30642688274... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Solution: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Why? The Galician sentence is correctly translated into Hebrew, because the meaning is preserved.
New input: Agora, está ao lado, ou na miña casa.
Solution: | עכשיו, הוא בבית ליד, או בביתי שלי. | 0 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.6835530996322632,
0.6552428007125854,
0.3681616485118866,
-0.657664954662323,
-0.10665947198867798,
0.18061597645282745,
0.8432904481887817,
0.5190523266792297,
-0.791549801826477,
-0.34661972522735596,
0.032185398042201996,
-0.10836774855852127,
-0.8110301494598389,
-0.1914989650249481... |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
See one example below:
Problem: #1 return secretaries
#2 return #1 born in state 'Alabama
#3 return departments managed by #2
#4 return distinct creation years of #3
Solution: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?
Explanation: You should follow the steps in order to realize what is the asked question. In this example, the first returned entities are secretaries(based on step #1) who are born in Alabama(based on step #2). In the step #3 departments managed by step #2(which is secretaries born in Alabama. In the final steps the creation years of the departments is returned, so the question will be about the creation years of the departments.
Problem: #1 return Graham Gano
#2 return Ryan Longwell
#3 return field goals of #1
#4 return field goals of #2
#5 return number of #3
#6 return number of #4
#7 return which is more of #5 , #6
Solution: | Which player scored more field goals, Graham Gano or Ryan Longwell? | 4 | NIv2 | task184_break_generate_question | fs_opt | [
0.8080881834030151,
0.05101346969604492,
-0.6957476735115051,
0.2990191876888275,
0.26885631680488586,
-0.46832191944122314,
0.8011342287063599,
0.3641587197780609,
-0.4328031539916992,
0.5839941501617432,
-0.29675090312957764,
0.4976769685745239,
-0.054916173219680786,
0.28128644824028015... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
このまま漁業を続けると50年後には珊瑚礁が消えてしまうかもしれません漁業もなくなってしまうかもしれません魚がいなくなってしまうからです
Output: | Pero se o asunto segue como ata agora, en 50 anos pode non haber arrecifes de coral, e non haber máis pesca comercial, porque o peixe desapareceu. | 1 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.7667170763015747,
0.2766663432121277,
-0.326717346906662,
-0.5187433958053589,
-0.5148690938949585,
-0.7706029415130615,
0.18925966322422028,
0.9823462963104248,
-0.34527307748794556,
-0.31912583112716675,
0.43396180868148804,
0.06541720777750015,
-1.020910620689392,
0.2647845149040222,... |
instruction:
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
question:
En primer lugar, mejorar la eficacia de su política de desarrollo.
answer:
Firstly, we need to make the EU' s development policy more effective.
question:
A través de las enmiendas aprobadas en comisión, el Parlamento ha buscado la forma de completar el trabajo de la Comisión ejecutiva, introduciendo elementos nuevos en la lista de las zonas destinatarias de las ayudas, sobre todo a favor de las fronteras externas y marítimas del sur de Europa.
answer:
By means of amendments adopted in committee, Parliament has tried to supplement the Commission' s work, by including new elements in the list of areas targeted for aid, and in particular external border areas and maritime border areas in Southern Europe.
question:
En tercer lugar -y quizá habría que decir que es el primero-, los proyectos han de orientarse principalmente a la recuperación integral de las personas y de las familias, porque no está hecho el hombre para el derecho, sino el derecho para el hombre.
answer:
| Thirdly - and perhaps this should be the first objective - the projects should principally be aimed at the complete rehabilitation of people and families, because man is not made for the law, but rather law is made for man.
| 9 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.014259622432291508,
0.4606189429759979,
-0.09222282469272614,
-0.07395264506340027,
-0.1518343985080719,
-0.6366595029830933,
0.5816011428833008,
0.5756646394729614,
-0.045999281108379364,
0.23910340666770935,
0.07969552278518677,
0.7399228811264038,
-1.001457691192627,
-0.15403930842876... |
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