premise
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|---|---|---|---|
That perspective makes it look gigantic.
|
That perspective makes it look miniscule.
| -1no label
| 600
|
That perspective makes it look miniscule.
|
That perspective makes it look gigantic.
| -1no label
| 601
|
That perspective makes it look gigantic.
|
That perspective makes it sound gigantic.
| -1no label
| 602
|
That perspective makes it sound gigantic.
|
That perspective makes it look gigantic.
| -1no label
| 603
|
Unshielded radiation from a nuclear core could kill you in a matter of hours.
|
Unshielded radiation from a nuclear core will kill you in a matter of hours.
| -1no label
| 604
|
Unshielded radiation from a nuclear core will kill you in a matter of hours.
|
Unshielded radiation from a nuclear core could kill you in a matter of hours.
| -1no label
| 605
|
I think the unrealistic part is him surviving the blunt force of the blast.
|
He survived the blunt force of the blast.
| -1no label
| 606
|
He survived the blunt force of the blast.
|
I think the unrealistic part is him surviving the blunt force of the blast.
| -1no label
| 607
|
The theory that they are products of the radiation from the bomb is genius.
|
They are products of the radiation from the bomb.
| -1no label
| 608
|
They are products of the radiation from the bomb.
|
The theory that they are products of the radiation from the bomb is genius.
| -1no label
| 609
|
The theory that they are products of the radiation from the bomb is correct.
|
They are products of the radiation from the bomb.
| -1no label
| 610
|
They are products of the radiation from the bomb.
|
The theory that they are products of the radiation from the bomb is correct.
| -1no label
| 611
|
Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called "humans".
|
The last ~2.5 million years could be called "humans".
| -1no label
| 612
|
The last ~2.5 million years could be called "humans".
|
Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called "humans".
| -1no label
| 613
|
Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called "humans".
|
Plenty of other species could be called "humans".
| -1no label
| 614
|
Plenty of other species could be called "humans".
|
Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called "humans".
| -1no label
| 615
|
Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called "humans".
|
Every human alive today is a member of other species of humans over the last ~2.5 million years that could be called "humans".
| -1no label
| 616
|
Every human alive today is a member of other species of humans over the last ~2.5 million years that could be called "humans".
|
Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called "humans".
| -1no label
| 617
|
I couldn’t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.
|
I couldn’t bring myself to throw it away, not out of the fondness of all the memories surrounding that time period.
| -1no label
| 618
|
I couldn’t bring myself to throw it away, not out of the fondness of all the memories surrounding that time period.
|
I couldn’t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.
| -1no label
| 619
|
I couldn’t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.
|
I couldn’t bring myself to throw it away, out of affection to her.
| -1no label
| 620
|
I couldn’t bring myself to throw it away, out of affection to her.
|
I couldn’t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.
| -1no label
| 621
|
I couldn’t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.
|
I couldn’t bring myself to throw it away, out of the fondness of all the memories surrounding the time period.
| -1no label
| 622
|
I couldn’t bring myself to throw it away, out of the fondness of all the memories surrounding the time period.
|
I couldn’t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.
| -1no label
| 623
|
You know that some life changing actions must be taken when grandma reacts with the sad emoji.
|
You know that some actions must be taken when grandma reacts with the sad emoji.
| -1no label
| 624
|
You know that some actions must be taken when grandma reacts with the sad emoji.
|
You know that some life changing actions must be taken when grandma reacts with the sad emoji.
| -1no label
| 625
|
You know that some life changing actions must be taken when grandma reacts with the sad emoji.
|
You know that some life-changing actions must be taken when grandma reacts with emoji.
| -1no label
| 626
|
You know that some life-changing actions must be taken when grandma reacts with emoji.
|
You know that some life changing actions must be taken when grandma reacts with the sad emoji.
| -1no label
| 627
|
I have never seen a hummingbird not flying.
|
I have always seen hummingbirds flying.
| -1no label
| 628
|
I have always seen hummingbirds flying.
|
I have never seen a hummingbird not flying.
| -1no label
| 629
|
I have never seen a hummingbird not flying.
|
I have never seen a hummingbird.
| -1no label
| 630
|
I have never seen a hummingbird.
|
I have never seen a hummingbird not flying.
| -1no label
| 631
|
I have never seen a hummingbird not flying.
|
I have never seen a bird not flying.
| -1no label
| 632
|
I have never seen a bird not flying.
|
I have never seen a hummingbird not flying.
| -1no label
| 633
|
I wish I could give both of you an upvote to share.
|
I wish I could give an upvote to both of you to share.
| -1no label
| 634
|
I wish I could give an upvote to both of you to share.
|
I wish I could give both of you an upvote to share.
| -1no label
| 635
|
I wish I could give both of you an upvote to share.
|
I wish both of you could get an upvote from me to share.
| -1no label
| 636
|
I wish both of you could get an upvote from me to share.
|
I wish I could give both of you an upvote to share.
| -1no label
| 637
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
|
Hummingbirds are red (hence why the feeders are usually these colours).
| -1no label
| 638
|
Hummingbirds are red (hence why the feeders are usually these colours).
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
| -1no label
| 639
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
|
Hummingbirds are really attracted to bright red (hence why the feeders are usually these colours).
| -1no label
| 640
|
Hummingbirds are really attracted to bright red (hence why the feeders are usually these colours).
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
| -1no label
| 641
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
|
The feeders are usually coloured so as to attract hummingbirds.
| -1no label
| 642
|
The feeders are usually coloured so as to attract hummingbirds.
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
| -1no label
| 643
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
|
Hummingbirds have monochromatic vision.
| -1no label
| 644
|
Hummingbirds have monochromatic vision.
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
| -1no label
| 645
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
|
Hummingbirds will feed from feeders of all colours.
| -1no label
| 646
|
Hummingbirds will feed from feeders of all colours.
|
Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).
| -1no label
| 647
|
Temperature and snow consistency must be just right.
|
Temperature must be just right.
| -1no label
| 648
|
Temperature must be just right.
|
Temperature and snow consistency must be just right.
| -1no label
| 649
|
After the clingers completely immobilize her, I carry her to the tub.
|
After the clingers completely immobilize her, I carry her to the tub or sink.
| -1no label
| 650
|
After the clingers completely immobilize her, I carry her to the tub or sink.
|
After the clingers completely immobilize her, I carry her to the tub.
| -1no label
| 651
|
Life is either a daring adventure or nothing at all.
|
Life is nothing at all.
| -1no label
| 652
|
Life is nothing at all.
|
Life is either a daring adventure or nothing at all.
| -1no label
| 653
|
Life is either a daring adventure or nothing at all.
|
Life is a daring adventure.
| -1no label
| 654
|
Life is a daring adventure.
|
Life is either a daring adventure or nothing at all.
| -1no label
| 655
|
Life is either a daring adventure or nothing at all.
|
Life is a not a daring adventure.
| -1no label
| 656
|
Life is a not a daring adventure.
|
Life is either a daring adventure or nothing at all.
| -1no label
| 657
|
Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
|
Just watched the first 30 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
| -1no label
| 658
|
Just watched the first 30 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
|
Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
| -1no label
| 659
|
Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
|
Just watched the first 10 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
| -1no label
| 660
|
Just watched the first 10 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
|
Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
| -1no label
| 661
|
Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
|
Just watched the first quarter hour, got bored, skipped to the magic bit, it's funnier as a GIF.
| -1no label
| 662
|
Just watched the first quarter hour, got bored, skipped to the magic bit, it's funnier as a GIF.
|
Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.
| -1no label
| 663
|
Has bad reviews on Amazon but this clip was funny.
|
This clip was funny.
| -1no label
| 664
|
This clip was funny.
|
Has bad reviews on Amazon but this clip was funny.
| -1no label
| 665
|
You’re walking through the woods, there’s no one around and your phone is dead, out of the corner of your eye you spot him, Shia LaBeouf!
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You’re walking through the woods, there are lurkers are around and your phone is dead, out of the corner of your eye you spot him, Shia LaBeouf!
| -1no label
| 666
|
You’re walking through the woods, there are lurkers are around and your phone is dead, out of the corner of your eye you spot him, Shia LaBeouf!
|
You’re walking through the woods, there’s no one around and your phone is dead, out of the corner of your eye you spot him, Shia LaBeouf!
| -1no label
| 667
|
Weird that you want to show something to a stack of papers.
|
Weird that you want to show this video to a stack of papers.
| -1no label
| 668
|
Weird that you want to show this video to a stack of papers.
|
Weird that you want to show something to a stack of papers.
| -1no label
| 669
|
I think this was part of the last season of Bojack Horseman.
|
I think this was part of the last episode of Bojack Horseman.
| -1no label
| 670
|
I think this was part of the last episode of Bojack Horseman.
|
I think this was part of the last season of Bojack Horseman.
| -1no label
| 671
|
If you think about it, it's the perfect reverse psychology tactic.
|
It's the perfect reverse psychology tactic.
| -1no label
| 672
|
It's the perfect reverse psychology tactic.
|
If you think about it, it's the perfect reverse psychology tactic.
| -1no label
| 673
|
This is honestly the most oniony article I've seen on the entire internet.
|
This article reads like satire.
| -1no label
| 674
|
This article reads like satire.
|
This is honestly the most oniony article I've seen on the entire internet.
| -1no label
| 675
|
If everyone believed my jokes, they'd know exactly who I was.
|
My jokes fully reveal my character.
| -1no label
| 676
|
My jokes fully reveal my character.
|
If everyone believed my jokes, they'd know exactly who I was.
| -1no label
| 677
|
If everyone believed my jokes, they'd know exactly who I was.
|
My jokes reflect exactly zero of my character.
| -1no label
| 678
|
My jokes reflect exactly zero of my character.
|
If everyone believed my jokes, they'd know exactly who I was.
| -1no label
| 679
|
If everyone believed my jokes, they'd know exactly who I was.
|
If everyone believed my jokes, they'd be quite concerned for me.
| -1no label
| 680
|
If everyone believed my jokes, they'd be quite concerned for me.
|
If everyone believed my jokes, they'd know exactly who I was.
| -1no label
| 681
|
In the 1890's a typical worker worked 60 hours per week; down to 48 by 1920 and 40 by 1940.
|
Working hours go up as you look further back in time from 1940.
| -1no label
| 682
|
Working hours go up as you look further back in time from 1940.
|
In the 1890's a typical worker worked 60 hours per week; down to 48 by 1920 and 40 by 1940.
| -1no label
| 683
|
In the 1890's a typical worker worked 60 hours per week; down to 48 by 1920 and 40 by 1940.
|
Working hours go down as you look further back in time from 1940.
| -1no label
| 684
|
Working hours go down as you look further back in time from 1940.
|
In the 1890's a typical worker worked 60 hours per week; down to 48 by 1920 and 40 by 1940.
| -1no label
| 685
|
There was a book I was trying to import and I saw that it was finally available with Amazon Prime shipping and I ended up paying like double the other prices to have it in 2 days vs. 2 weeks.
|
I waited until Prime availability and paid a higher sticker price for a book so I could get free 2-day shipping.
| -1no label
| 686
|
I waited until Prime availability and paid a higher sticker price for a book so I could get free 2-day shipping.
|
There was a book I was trying to import and I saw that it was finally available with Amazon Prime shipping and I ended up paying like double the other prices to have it in 2 days vs. 2 weeks.
| -1no label
| 687
|
There was a book I was trying to import and I saw that it was finally available with Amazon Prime shipping and I ended up paying like double the other prices to have it in 2 days vs. 2 weeks.
|
I waited until Prime availability and paid a higher Shipping & Handling fee to have a book in 2 days vs. 2 weeks.
| -1no label
| 688
|
I waited until Prime availability and paid a higher Shipping & Handling fee to have a book in 2 days vs. 2 weeks.
|
There was a book I was trying to import and I saw that it was finally available with Amazon Prime shipping and I ended up paying like double the other prices to have it in 2 days vs. 2 weeks.
| -1no label
| 689
|
Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.
|
The Labor Theory of Value is at the heart of the economics of cost.
| -1no label
| 690
|
The Labor Theory of Value is at the heart of the economics of cost.
|
Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.
| -1no label
| 691
|
Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.
|
The Labor Theory of Value is a scarce determinant of the economics of cost.
| -1no label
| 692
|
The Labor Theory of Value is a scarce determinant of the economics of cost.
|
Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.
| -1no label
| 693
|
Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.
|
Supply and demand... scarcity... all these economic principles that determine the cost of things are related to the value of human labor.
| -1no label
| 694
|
Supply and demand... scarcity... all these economic principles that determine the cost of things are related to the value of human labor.
|
Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.
| -1no label
| 695
|
While their designed displacement was 262 tonnes (258 long tons), they displaced about 320 tonnes (310 long tons) fully loaded.
|
Their loading capacity was about 58 tonnes.
| -1no label
| 696
|
Their loading capacity was about 58 tonnes.
|
While their designed displacement was 262 tonnes (258 long tons), they displaced about 320 tonnes (310 long tons) fully loaded.
| -1no label
| 697
|
While their designed displacement was 262 tonnes (258 long tons), they displaced about 320 tonnes (310 long tons) fully loaded.
|
Their loading capacity was about 262 tonnes.
| -1no label
| 698
|
Their loading capacity was about 262 tonnes.
|
While their designed displacement was 262 tonnes (258 long tons), they displaced about 320 tonnes (310 long tons) fully loaded.
| -1no label
| 699
|
Subsets and Splits
MNLI Train: Tennis Hypotheses
Retrieves 100 samples from the mnli_train dataset where the hypothesis contains the word 'tennis', providing a basic filter of the data.
MNLI Validation Label Counts
Counts the number of entries in each label category, providing basic insights into the distribution of labels in the dataset.