HELMET-Eval
Collection
21 subsets of HELMET evaluation datasets
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21 items
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Updated
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stringlengths 13
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| fine_label
int64 0
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| context
stringlengths 393k
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| question
stringlengths 13
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| answer
stringclasses 50
values | prompt_template
stringclasses 1
value | user_template
stringclasses 1
value | system_template
stringclasses 1
value | post_process
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|
How far is it from Denver to Aspen ?
| 5
| 40
| "What are the two languages of Malta ?\nlabel: 3\n\nWhat chapter of Gone with the Wind has Rhett But(...TRUNCATED)
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How far is it from Denver to Aspen ?
|
10
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|
What county is Modesto , California in ?
| 4
| 32
| "What U.S. state is Mammoth Cave National Park in ?\nlabel: 0\n\nWhat is the chemical reactivity of (...TRUNCATED)
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What county is Modesto , California in ?
|
44
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|
Who was Galileo ?
| 3
| 31
| "What 's the distinction of U.S. Supreme Court Justice Thurgood Marshall ?\nlabel: 47\n\nWhy did the(...TRUNCATED)
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Who was Galileo ?
|
22
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|
What is an atom ?
| 2
| 24
| "Who is Samuel Pickering ?\nlabel: 20\n\nWhat is the probability that at least 2 out of 25 people wi(...TRUNCATED)
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What is an atom ?
|
30
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|
When did Hawaii become a state ?
| 5
| 39
| "How long was the TV mission of Star Trek 's Enterprise to be ?\nlabel: 35\n\nWhat is the origin of (...TRUNCATED)
|
When did Hawaii become a state ?
|
47
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|
How tall is the Sears Building ?
| 5
| 40
| "What province is Edmonton located in ?\nlabel: 30\n\nWhat vowel do all Esperanto nouns end in ?\nla(...TRUNCATED)
|
How tall is the Sears Building ?
|
5
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|
George Bush purchased a small interest in which baseball team ?
| 3
| 28
| "What materials did the three little pigs use to build their houses ?\nlabel: 19\n\nWhat Jules Verne(...TRUNCATED)
|
George Bush purchased a small interest in which baseball team ?
|
2
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|
What is Australia 's national flower ?
| 1
| 14
| "What is hypertext ?\nlabel: 4\n\nWhen was Franklin D. Roosevelt stricken with polio ?\nlabel: 33\n\(...TRUNCATED)
|
What is Australia 's national flower ?
|
46
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|
Why does the moon turn orange ?
| 2
| 27
| "How much money can a person be fined for having a dog on a beach ?\nlabel: 14\n\nWhat is a softball(...TRUNCATED)
|
Why does the moon turn orange ?
|
43
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|
What is autism ?
| 2
| 24
| "How long do hermit crabs live ?\nlabel: 1\n\nWhat is the correct way to mount a roll of toilet pape(...TRUNCATED)
|
What is autism ?
|
41
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
| "Use the provided mapping from the text to label to assign a label to the text. Only output \"label:(...TRUNCATED)
|
label:
| " def post_process(output, example):\n prediction = output[\"output\"]\n answer = e(...TRUNCATED)
|