Datasets:
How is the relatedness score calculated?
What method was used to calculate the relatedness score (min: 0.0, max: 5.0) between two pairs of sentences?
You can find a bit more details here: https://competitions.codalab.org/competitions/33835#learn_the_details-overview
I think this shows the reasoning for the relatedness scores: https://alt.qcri.org/semeval2014/task10/index.php?id=sts-en
Gold Standard
The gold standard contains a score between 0 and 5 for each pair of sentences, with the following interpretation:
(5) The two sentences are completely equivalent, as they mean the same thing.
The bird is bathing in the sink.
Birdie is washing itself in the water basin.
(4) The two sentences are mostly equivalent, but some unimportant details differ.
In May 2010, the troops attempted to invade Kabul.
The US army invaded Kabul on May 7th last year, 2010.
(3) The two sentences are roughly equivalent, but some important information differs/missing.
John said he is considered a witness but not a suspect.
"He is not a suspect anymore." John said.
(2) The two sentences are not equivalent, but share some details.
They flew out of the nest in groups.
They flew into the nest together.
(1) The two sentences are not equivalent, but are on the same topic.
The woman is playing the violin.
The young lady enjoys listening to the guitar.
(0) The two sentences are on different topics.
John went horse back riding at dawn with a whole group of friends.
Sunrise at dawn is a magnificent view to take in if you wake up
early enough for it.