<s>[INST] You are a smart text analyzer assistant.
Given a QUESTION and a set of posible texts from which to derive the answer, examine each text and reply whether or not the ANSWER exists within the text.
You MUST give the response in a VALID JSON object with a Yes or No for each text.


So for instance the following:

QUESTION: What is the color of the sky?
POSIBLE ANSWERS:
Source 1: The sky is blue
Source 2: The sea is blue
Source 3: The sky is blue in the daytime but black at night

would give an output of:[/INST]

{
"Source 1": "Yes",
"Source 2": "No",
"Source 3": "Yes"
}
</s>
 
[INST]
QUESTION: why choose range or interquartile range
POSIBLE ANSWERS:
Source 1: The interquartile range is a value that is the difference between the upper quartile value and the lower quartile value. To find the interquartile range, simply take the upper quartile and subtract the lower quartile. To unlock this lesson you must be a Study.com Member. To find the interquartile range, simply take the upper quartile and subtract the lower quartile: 7.5 - 2.5 = 5. The interquartile range for this data set is 5. That means that the majority of the group can make about five out of ten free throw shots.
Source 2: Interquartile range. The interquartile range is another range used as a measure of the spread. The difference between upper and lower quartiles (Q 3 –Q 1), which is called the interquartile range, also indicates the dispersion of a data set. The interquartile range spans 50% of a data set, and eliminates the influence of outliers because, in effect, the highest and lowest quarters are removed. Semi-quartile range. The semi-quartile range is another measure of spread. It is calculated as one half the difference between the 75th percentile (often called Q 3) and the 25th percentile (Q 1). The formula for semi-quartile range is: (Q 3 –Q 1) ÷ 2.
Source 3: The interquartile range is a value that is the difference between the upper quartile value and the lower quartile value. Coach Taylor can use the interquartile range to summarize the overall accuracy of his players. To find the quartiles of this data set use the following steps: 1  Order the data from least to greatest. To find the interquartile range, simply take the upper quartile and subtract the lower quartile: 7.5 - 2.5 = 5. The interquartile range for this data set is 5. That means that the majority of the group can make about five out of ten free throw shots.
[/INST]
<s>[INST] You are a smart text analyzer assistant.
Given a QUESTION and a set of posible texts from which to derive the answer, examine each text and reply whether or not the ANSWER exists within the text.
You MUST give the response in a VALID JSON object with a Yes or No for each text.


So for instance the following:

QUESTION: What is the color of the sky?
POSIBLE ANSWERS:
Source 1: The sky is blue
Source 2: The sea is blue
Source 3: The sky is blue in the daytime but black at night

would give an output of:[/INST]

{
"Source 1": "Yes",
"Source 2": "No",
"Source 3": "Yes"
}
</s>
 
[INST]
QUESTION: why choose range or interquartile range
POSIBLE ANSWERS:
Source 1: The interquartile range is a value that is the difference between the upper quartile value and the lower quartile value. To find the interquartile range, simply take the upper quartile and subtract the lower quartile. To unlock this lesson you must be a Study.com Member. To find the interquartile range, simply take the upper quartile and subtract the lower quartile: 7.5 - 2.5 = 5. The interquartile range for this data set is 5. That means that the majority of the group can make about five out of ten free throw shots.
Source 2: Interquartile range. The interquartile range is another range used as a measure of the spread. The difference between upper and lower quartiles (Q 3 –Q 1), which is called the interquartile range, also indicates the dispersion of a data set. The interquartile range spans 50% of a data set, and eliminates the influence of outliers because, in effect, the highest and lowest quarters are removed. Semi-quartile range. The semi-quartile range is another measure of spread. It is calculated as one half the difference between the 75th percentile (often called Q 3) and the 25th percentile (Q 1). The formula for semi-quartile range is: (Q 3 –Q 1) ÷ 2.
Source 3: The interquartile range is a value that is the difference between the upper quartile value and the lower quartile value. Coach Taylor can use the interquartile range to summarize the overall accuracy of his players. To find the quartiles of this data set use the following steps: 1  Order the data from least to greatest. To find the interquartile range, simply take the upper quartile and subtract the lower quartile: 7.5 - 2.5 = 5. The interquartile range for this data set is 5. That means that the majority of the group can make about five out of ten free throw shots.
[/INST]
{
"Source 1": "Yes",
"Source 2": "Yes",
"Source 3": "Yes"
}
<s>[INST] You are a smart text analyzer assistant.
Given a QUESTION and a set of posible texts from which to derive the answer, examine each text and reply whether or not the ANSWER exists within the text.
You MUST give the response in a VALID JSON object with a Yes or No for each text.


So for instance the following:

QUESTION: What is the color of the sky?
POSIBLE ANSWERS:
Source 1: The sky is blue
Source 2: The sea is blue
Source 3: The sky is blue in the daytime but black at night

would give an output of:[/INST]

{
"Source 1": "Yes",
"Source 2": "No",
"Source 3": "Yes"
}
</s>
 
[INST]
QUESTION: why choose range or interquartile range
POSIBLE ANSWERS:
Source 1: The interquartile range is a value that is the difference between the upper quartile value and the lower quartile value. To find the interquartile range, simply take the upper quartile and subtract the lower quartile. To unlock this lesson you must be a Study.com Member. To find the interquartile range, simply take the upper quartile and subtract the lower quartile: 7.5 - 2.5 = 5. The interquartile range for this data set is 5. That means that the majority of the group can make about five out of ten free throw shots.
Source 2: Interquartile range. The interquartile range is another range used as a measure of the spread. The difference between upper and lower quartiles (Q 3 –Q 1), which is called the interquartile range, also indicates the dispersion of a data set. The interquartile range spans 50% of a data set, and eliminates the influence of outliers because, in effect, the highest and lowest quarters are removed. Semi-quartile range. The semi-quartile range is another measure of spread. It is calculated as one half the difference between the 75th percentile (often called Q 3) and the 25th percentile (Q 1). The formula for semi-quartile range is: (Q 3 –Q 1) ÷ 2.
Source 3: The interquartile range is a value that is the difference between the upper quartile value and the lower quartile value. Coach Taylor can use the interquartile range to summarize the overall accuracy of his players. To find the quartiles of this data set use the following steps: 1  Order the data from least to greatest. To find the interquartile range, simply take the upper quartile and subtract the lower quartile: 7.5 - 2.5 = 5. The interquartile range for this data set is 5. That means that the majority of the group can make about five out of ten free throw shots.
[/INST]
{
"Source 1": "No",
"Source 2": "No",
"Source 3": "No"
}