Dataset Viewer (First 5GB)
Auto-converted to Parquet Duplicate
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
sequencelengths
1.02k
1.02k
You will be given a definition of a task first, then some input of the task. 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 alte...
Ava's friend did it for her. A few days later, Ava passed away.
1
NIv2
task068_abductivenli_incorrect_answer_generation
zs_opt
[ 0.41628679633140564, -0.0962136834859848, 0.30757731199264526, 0.26582619547843933, 0.22596193850040436, 0.062017641961574554, 0.09179076552391052, 0.8889304399490356, -0.2424507737159729, -0.1108299195766449, -0.2793847918510437, -0.10548277199268341, -0.12088838219642639, -0.612769842147...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic. Let me give you an example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן. The answer to this example can be: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المست...
لذا فإن سرعة تبني الأشياء ستصبح أكثر سرعة بطريقة لا يمكننا تصورها ، عندما تصل 6.3 بلايين شخص خليويًا وهم في تزايد مستمر.
8
NIv2
task1237_ted_translation_he_ar
fs_opt
[ -0.41534924507141113, 0.9239093065261841, 0.16350872814655304, -0.4744710326194763, -0.8101851940155029, 0.2964123487472534, 0.7014719843864441, 0.2999558448791504, 0.3997341990470886, -0.49791938066482544, -1.3811283111572266, 0.2484104335308075, -0.9266835451126099, 0.16402629017829895, ...
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment. E...
Original
1
NIv2
task428_senteval_inversion
fs_opt
[ -0.8739360570907593, 0.3941195607185364, 0.25524136424064636, 0.07377259433269501, -0.284168004989624, -0.1761929839849472, 0.6164199709892273, 0.3381308317184448, 0.6255155205726624, 0.040305592119693756, -1.2571913003921509, -0.3153865933418274, -0.3513328433036804, 0.05380059406161308, ...
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ...
426
0
NIv2
task090_equation_learner_algebra
zs_opt
[ 0.25318288803100586, 0.8147004842758179, -0.6608883142471313, -0.6733084917068481, -0.4375157356262207, -0.33339452743530273, 1.1441185474395752, 0.6291921734809875, -0.0539909228682518, -0.9599659442901611, -0.6375513076782227, 0.8373603820800781, -0.9639241099357605, 0.06384958326816559,...
Definition: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'. Input: Passage: Wiley was the Repub...
Answer: 5
2
NIv2
task238_iirc_answer_from_passage_answer_generation
zs_opt
[ -0.6107167601585388, 0.1657654494047165, 0.039339449256658554, 0.5430648922920227, 0.14554694294929504, -0.4614872634410858, -0.24235975742340088, 0.13323727250099182, 0.45719289779663086, 0.17756542563438416, -0.4738731384277344, 0.2214585691690445, 0.23106446862220764, -0.092656888067722...
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to con...
guy gets tackled
4
NIv2
task186_snli_contradiction_to_entailment_text_modification
fs_opt
[ -0.14182764291763306, 0.6871945858001709, 0.07865411043167114, -0.5748049020767212, 0.05055881664156914, -0.5333974361419678, -0.2024373710155487, 0.3856748640537262, 0.4882742762565613, -0.40025314688682556, -0.8943610191345215, -0.21484780311584473, -0.6603003740310669, -0.16997294127941...
You will be given a definition of a task first, then some input of the task. You are given a statement written in Gujarati. 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 . Statement: પુનાદ્રા (તા. દહેગામ) <M...
ભારત
1
NIv2
task946_wiki_cloze_gu_multiple_choice_question_answering
zs_opt
[ 0.3470992147922516, 0.8763514161109924, -0.019955135881900787, -0.11540073901414871, -0.07850052416324615, -0.224295973777771, 0.2567659616470337, 1.2388889789581299, -0.39405691623687744, 0.07836483418941498, -0.6605510115623474, 0.6954836845397949, -0.05454011261463165, -0.76471346616745...
Teacher: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...
At first there were not many birds in the trap. Sarah used a different type of trap. The new trap caught many birds and even squirrels!
6
NIv2
task269_csrg_counterfactual_story_generation
zs_opt
[ 0.8058229684829712, 0.17976996302604675, -0.22138234972953796, 0.15055781602859497, 0.13251222670078278, -1.2626715898513794, 0.21598754823207855, 1.4992995262145996, -0.6171540021896362, -0.12713947892189026, -0.35010838508605957, -0.1526164710521698, -0.7054188847541809, -0.1141455993056...
Definition: This task is about translating a given Spanish language sentence to English. Input: Vayamos al grano, de acuerdo? Output:
Vayamos al grano, de acuerdo?
2
NIv2
task1692_qed_amara_translation
zs_opt
[ 0.17920351028442383, 0.5963327884674072, 0.21885012090206146, 0.030962640419602394, -0.5053108930587769, -0.38578885793685913, -0.16598093509674072, 0.6138537526130676, 0.32024264335632324, 0.013049663975834846, -0.5877793431282043, -0.08347474783658981, -0.5834981203079224, 0.143684476613...
"Given the task definition and input, reply with output. You are given a sentence in Japanese. Your (...TRUNCATED)
Which one is it?
5
NIv2
task1222_ted_translation_ja_en
zs_opt
[-0.42655670642852783,0.7255878448486328,0.5233665704727173,-0.04138363152742386,-0.0447967797517776(...TRUNCATED)
End of preview. Expand in Data Studio

No dataset card yet

Downloads last month
301