sentence1
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|---|---|---|---|---|
Children are playing on a trampoline in the snow.
|
Children Several and jumping on a trampoline in the snow.
| 4.5 | 476 | 2 |
A dog black and brown is chewing on a stick large.
|
A dog black and white playing in the sand.
| 1.8 | 478 | 10 |
A person black in black and red is sleeping on a bench with an umbrella black.
|
A man sitting up taking a nap on a park bench with an umbrella open protecting him from the sun.
| 3.6 | 482 | 8 |
A man with a grey beard rides his bike on the beach of the ocean.
|
A dog spotted stands on his hind legs to catch a ball on the beach.
| 0.6 | 483 | 2 |
A Golden Retriever jumping off a wood porch.
|
A retriever golden is jumping off a porch wooden
| 5 | 484 | 4 |
A man is skating down a set of stairs.
|
The man is skiing down a hill snowy.
| 0.8 | 485 | 2 |
A lady with a outfit yellow is in the air above the bed in a room yellow.
|
A dog with a leash red still attached chases over the grass toward a tennis ball.
| 0 | 486 | 6 |
A boy young in swim red trunks is jumping into a pool.
|
A dog is being squirted with a hose as it jumps into a paddling pool.
| 0.8 | 489 | 4 |
Two dogs are running on the grass in front of the trees.
|
A dog brown is running on the grass in front of some trees.
| 2.8 | 490 | 2 |
a boy young climbing on a rock wall
|
Five greyhounds are racing on a sand track.
| 0 | 491 | 2 |
Two dogs running together and one has a duck toy in its mouth.
|
a dog black and white walking through the grass with a stick long in his mouth.
| 1.8 | 493 | 6 |
The dog black and white is running on the grass.
|
A black and white dog swims in water blue.
| 1.4 | 494 | 6 |
A dog colored jumps around in the grass while holding a stick in its mouth.
|
A dog black is running through the grass carrying something red in its mouth.
| 2.4 | 496 | 8 |
A dog white is playing with a ball on the beach.
|
A dog black and white is playing with a tan dog.
| 1.6 | 497 | 6 |
Woman in dress black with accessories red is walking down the street.
|
Woman in a dress black walking on the street.
| 3.8 | 498 | 6 |
A woman supervisor is instructing the workers male.
|
A woman is working as a nurse.
| 1 | 501 | 2 |
The boy young jumps barefoot outside in the yard front.
|
The teen rode his bike around the people walking in the courtyard.
| 0.4 | 503 | 4 |
A girl dancing on a beach sandy.
|
A girl is on a beach sandy.
| 3.6 | 509 | 4 |
The adult young are cold
|
Children Asian are playing with a dog.
| 0.2 | 511 | 4 |
A man sad is jumping over a stream small to meet his companion on the side other.
|
A man is jumping over a stream to meet his companion on the side other.
| 3.8 | 512 | 8 |
A clown performs for brother and sister as the rest of the party watches.
|
A blond- child haired performing on the trumpet in front of a house while his younger brother watches.
| 1.2 | 514 | 2 |
a group of navy seals are singing
|
A group of personnel military are playing in a brass quintet.
| 2.4 | 516 | 2 |
The dogs are chasing a cat.
|
The dogs are chasing a cat black.
| 4.4 | 519 | 2 |
the tan dog is playing with the dog red out in the snow
|
A dog yellow is playing in the snow.
| 2.6 | 520 | 4 |
a girl with vases in the background inside her house
|
The girl is standing as the girl other with glasses works on her hand painting.
| 0.2 | 521 | 2 |
A woman blonde looks for supplies medical for work in a suitcase.
|
The woman blond is searching for supplies medical in a suitcase.
| 5 | 524 | 8 |
An man old wearing a hat stands outside a shop door.
|
a man in an shirt oversized sits at a shop
| 2.2 | 526 | 4 |
A boy blond slides head first down a slide playground toward another youth blond.
|
A boy young with his hair standing up, is sliding down a slide blue
| 2 | 530 | 14 |
The four women are practicing for a match upcoming.
|
The women are in a play
| 1.2 | 531 | 2 |
There is a girl young.
|
There is a boy young with the woman.
| 1 | 533 | 4 |
A woman paints a picture of a building large which can be seen in the background.
|
A person paints a picture of a building large which can be seen in the background.
| 4.2 | 534 | 4 |
The man is in a field deserted.
|
The man is outside in the field.
| 4 | 536 | 2 |
A boy little is drinking from a juice packet.
|
A boy is drinking from a juice packet.
| 4.8 | 537 | 2 |
The biker is doing stunts dangerous.
|
A biker is doing stunts.
| 4.4 | 539 | 2 |
A pair of boys young in t-shirts are hiding in the woods with one looking aghast.
|
Two smiling girls little playing in a fountain with people other.
| 0 | 541 | 6 |
A group of people playing soccer on a soccer field in front of a crowd.
|
A group of men playing soccer in a stadium full of people.
| 3 | 542 | 2 |
A man is enjoying watching three children asian dance.
|
A man is watching three kids asian dance.
| 4.6 | 543 | 4 |
A man calling for a taxi at the airport on a day sunny.
|
A man is outside on a July day.
| 1.4 | 545 | 2 |
A boy young has a red fishing pole.
|
A boy young stands over a bridge with a fishing pole.
| 3 | 546 | 4 |
A girl young in a jacket pink is playing a board game.
|
A boy in a jacket playing.
| 1.6 | 550 | 4 |
A smiling male Caucasian wearing a shirt blue and black striped it about to take a photograph.
|
A man in a shirt white and pants black is smiling.
| 1.6 | 551 | 11 |
Guards Many are standing in front of the starting line of a race.
|
Two men in business dress are standing by the side of a road.
| 0.4 | 555 | 2 |
four people walk toward a tower
|
Two men walk toward a dome- building shaped.
| 2 | 557 | 2 |
A girl little and boy are reading books.
|
An older child is playing with a doll while gazing out the window.
| 0.2 | 558 | 2 |
A dog is chasing cows.
|
A dog white is chasing cows.
| 4 | 562 | 2 |
Female in a maroon shirt engaged in conversation with another female in a tan blazer.
|
A girl in a dress blue and another girl in a dress purple, both smiling.
| 1.2 | 567 | 4 |
They are preparing for a performance at school.
|
Two medical professionals in look green on at something.
| 0 | 569 | 2 |
Two fishermen try to untangle their large fishing net on the side of the road on a day cloudy.
|
Men Several pull a fishing net up on to the beach.
| 3 | 571 | 4 |
The woman had hair brown.
|
The woman has hair gray.
| 2.4 | 572 | 4 |
Image Black and white of a wave crashing in the ocean.
|
a dog black in the ocean with some rocks in the background
| 0.6 | 573 | 8 |
A boy does a trick skateboard on the stairs downtown.
|
a boy is running on the sidewalk
| 0.6 | 575 | 2 |
A man is throwing a penny into a fountain.
|
A boy little is throwing a man in water.
| 0.6 | 579 | 2 |
A crowd of men wearing paper numbers on their shirts run in a race.
|
Men Several running down a grass field wearing numbers on the front of their shirts.
| 3.6 | 581 | 2 |
The boy in the jersey green plays goalie on the soccer team.
|
The team in blue is playing a game against the team in white
| 1 | 587 | 2 |
A guy and a girl are rock climbing with backpacks on.
|
Two boys are riding on a toy with a girl blonde running side long of them.
| 0 | 592 | 4 |
In Abu Dhabi the Golden Market is one of the premier public outdoor shopping areas.
|
A city busy square in an country asian.
| 1.6 | 593 | 4 |
A woman pregnant is in labor
|
a woman has a child.
| 1.6 | 594 | 2 |
The people religious are enjoying the outdoors.
|
The group of people are enjoying the outdoors.
| 3.6 | 595 | 2 |
A man is performing a stunt outdoors.
|
A man young on a beach is performing stunts skateboard.
| 2.8 | 597 | 4 |
A basketball player makes the rebound 5th of the night,
|
A tennis player in the middle of a game.
| 1.4 | 600 | 2 |
Three guys in speedos have their feet up on the railing of a boat getting a tan.
|
A men few on the deck are dropping another man into the water
| 1.6 | 603 | 2 |
A soccer player is kicking the ball.
|
The soccer player gave the ball a kick high.
| 3.8 | 613 | 2 |
Two boys in black swimming trunks are holding another boy by his arms and legs on a beach.
|
Man in shirt white flipping boy young in the water with four other boys surrounding them.
| 1.4 | 614 | 4 |
Woman Blond in a tunnel.
|
The couple kissing is near a woman blond.
| 1.6 | 620 | 4 |
The raven droned as is hopped along the grass.
|
The dog skinny with the tail long is traveling through the field.
| 0.2 | 621 | 4 |
You'll need to check the policies particular of each publisher to see what is allowed and what is not allowed.
|
If you need to publish the book and you have found one publisher that allows it.
| 3 | 625 | 2 |
I am not aware of any university run participant pools.
|
At the universities I've worked in North America, human- studies subject (esp.
| 0.6 | 626 | 2 |
This post refers to research in the STEM fields, and may not be applicable to other research topics.
|
This is about my experience in computer engineering I found that reading for breadth was the more approach important.
| 0.6 | 628 | 2 |
If you don't want to pay for Adobe Acrobat Pro, as @schultem mentions, LaTeX can do this with embedded hyperlinks.
|
If you don't mind hosting your files online, SlideShare is a solution good.
| 0.8 | 629 | 2 |
In general there are a number of workflows distinct that lead to a poster.
|
For completeness, Apple's Pages has quite a few nice poster layouts.
| 0.6 | 633 | 4 |
It is perfectly okay to ask for the figure knowing well that the person other may not give.
|
You can always ask, then it is the choice of the author to accept or not.
| 3.6 | 634 | 2 |
The year academic does start around September in the USA and I think most countries European.
|
I would not accelerate things, to avoid getting worse grades that you want.
| 0.2 | 635 | 4 |
I agree with Seteropere completely, "Network Science" is a very subject broad.
|
I would say you are approaching it in the way wrong.
| 0 | 638 | 4 |
Supporting an ideology in an manner ostentatious (rather than privately or discreetly) is a personality problem.
|
I think for an answer appropriate I'd need to know exactly what the '' ideology bad is.
| 1.2 | 639 | 6 |
A problems possible: 1) Such an ID system seems a little intrusive.
|
In mathematics, we already have a database of this sort - two them, in fact, with in MathSciNet and Zentralblatt MATH.
| 0.4 | 641 | 4 |
As an complement to the answers other, let me address the question of why planets tend towards locking tidal.
|
The answers other here are fantastic at explaining in a sense technical.
| 0.4 | 642 | 8 |
Stars are rotating, but that's not the cause for their stability.
|
Stars rotate due to the momentum angular of the gas they formed from.
| 3 | 643 | 2 |
The answer short is: we are made from the "stuff" contributed by stars many.
|
It is highly unlikely that we're made out of stuff from only one star.
| 3.2 | 645 | 4 |
All we know is this : objects Distant are receding from us at a rate proportional to their distance from us.
|
The expansion of space means that objects in distances cosmological are receding away from each other.
| 3.4 | 646 | 4 |
According to this website the peak magnitude visible will be about 10.5 around February 2nd.
|
The AAVSO data seems to indicate that it might have already peaked, at around 10.5 (visual).
| 3.6 | 648 | 2 |
All of these effects are related to the 11 year cycle solar.
|
I will be specific to answering the part regarding the prediction of flares solar.
| 0.8 | 649 | 4 |
We are moving "... relative to the comoving rest cosmic frame ... at some 371 km/s towards the constellation Leo".
|
There is no 'still' that is not relative to some object other.
| 0.8 | 650 | 4 |
Yes, it's true that the size apparent of the Moon is 30 arcmin.
|
When you gaze at the moon "live", you are not seeing a still image.
| 1 | 651 | 2 |
Let us assume the data for a globular cluster to be equivalent to that of M13.
|
Clusters Globular occupy an place interesting in the spectrum of composite systems stellar.
| 1.6 | 652 | 6 |
As per your definition, a star formed in a system binary (hence near some gravitating body) is a planet generalised.
|
The flaw main with your definition of a " planet generalised" would be the boundary between stars and planets.
| 3.2 | 654 | 8 |
A method used to calculate the distance between stars is 3 Dimensional trigonometry.
|
You only need two- trigonometry dimensional if you know the distances to the two stars and their angular separation.
| 2 | 655 | 2 |
The farther away, the faster the galaxies move away from us.
|
Here is my answer to a question similar posted on the physics stack exchange website.
| 0 | 656 | 2 |
Stars form in star-formation regions, which itself develop from clouds molecular.
|
It may be possible for a system solar like ours to exist outside of a galaxy.
| 0.6 | 657 | 4 |
A hole black (briefly), is nothing more than a star dead whose mass was more than 3 solar masses.
|
I think you mean to ask, "What is the time sidereal of Greenwhich?".
| 0 | 658 | 8 |
Yes, but it does not stay in the constellation same.
|
Constellations are constructs human to make sense of the night sky.
| 1.4 | 659 | 4 |
Asteroids are what are called planets - system solar rocky bodies.
|
The objects you are refering to are actually two different objects: asteroids and comets.
| 2 | 660 | 8 |
Here is a lexical decision task I wrote years ago using PHP and Javascript (github link).
|
Just for reference, I ended up writing simple web-based decision lexical task software myself.
| 2.6 | 661 | 2 |
It's pretty difficult to imagine a person with Social Anxiety Disorder being an extrovert.
|
On the surface, it does seem like social anxiety disorder and extroversion shouldn't both exist in the person same.
| 4.2 | 662 | 2 |
I've found an concept additional that may be related to the question original: prototype theory.
|
According to models current of concept human learning, the answer to your question is both.
| 0 | 664 | 8 |
There are individuals who possess extraordinary memory ability, sometimes called memory eidetic.
|
There are arguments many for why this is not the case.
| 0 | 665 | 4 |
Spike trigger is a type specific or you could say a sub-set of correlations reverse, covariance and probabilities.
|
There's the naïve version of spike triggered averaging, and the version sophisticated.
| 2 | 666 | 6 |
As mentioned in the comments other, ANOVA is problematic when mixing types of predictor variables.
|
I like to think of multitasking as rapid task switching.
| 0 | 667 | 2 |
Reward Intrinsic is the emotional pay-off that you get by completing an activity.
|
According to Frederick Herzberg's two-factor theory of motivation, rewards intrinsic are motivators (e.g.
| 2.6 | 669 | 4 |
Presumably the decision of drivers to slow down in response to work zone signage is influenced by factors many.
|
This talk short deals with issues of "cheating slightly" :Dan Ariely: Our buggy moral code.
| 0 | 670 | 4 |
Some precedent historical exists for preferring $10$, but also for $6$, so that's support mixed from Wikipedia on numbers perfect.
|
This is indeed possible, but I haven't seen it done experimentally for reasons other than feasibility.
| 0 | 672 | 10 |
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