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Datasets:
xiaoyuanliu
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HELMET_icl_trec_coarse_6600shot_balance__eval

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stringlengths
13
91
coarse_label
int64
0
5
fine_label
int64
0
49
context
stringlengths
391k
394k
question
stringlengths
13
91
answer
stringclasses
6 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
"How do plants make food ?\nlabel: 2\n\nWhat are the titles of some R-Rated Sony Playstation games ?(...TRUNCATED)
How far is it from Denver to Aspen ?
3
"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
"How much electricity does the brain need to work ?\nlabel: 2\n\nWhat is a conifer ?\nlabel: 0\n\nWh(...TRUNCATED)
What county is Modesto , California in ?
3
"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
"How much caffeine is in a 16 oz cup of coffee ?\nlabel: 3\n\nHow can you tell when figs are ripe ?\(...TRUNCATED)
Who was Galileo ?
4
"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
"What do insects do through their spiracles ?\nlabel: 1\n\nWhat does SHIELD stand for ?\nlabel: 4\n\(...TRUNCATED)
What is an atom ?
1
"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
"Where is the Taj Mahal ?\nlabel: 0\n\nWhat is a `` USB '' port on a computer ?\nlabel: 3\n\nWhat 's(...TRUNCATED)
When did Hawaii become a state ?
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)
How tall is the Sears Building ?
5
40
"What does a dipsomaniac crave ?\nlabel: 3\n\nHow many Jews were executed in concentration camps dur(...TRUNCATED)
How tall is the Sears Building ?
4
"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
"How do you do a bibliography with an unknown author ?\nlabel: 2\n\nWhat year did Hitler die ?\nlabe(...TRUNCATED)
George Bush purchased a small interest in which baseball team ?
3
"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
"Where 's the Bernini-Bristol Hotel ?\nlabel: 0\n\nWhat does NASA stand for ?\nlabel: 1\n\nHow many (...TRUNCATED)
What is Australia 's national flower ?
4
"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 many flavors does Baskin & Robbins offer ?\nlabel: 3\n\nWhat are pomegranates ?\nlabel: 1\n\nIn(...TRUNCATED)
Why does the moon turn orange ?
1
"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
"Who was Thucydides ?\nlabel: 4\n\nWhat is it like to experience a near death episode ?\nlabel: 0\n\(...TRUNCATED)
What is autism ?
0
"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)
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