HELMET-Eval
Collection
21 subsets of HELMET evaluation datasets • 21 items • Updated
text stringlengths 13 91 | coarse_label int64 0 5 | fine_label int64 0 49 | context stringlengths 393k 397k | question stringlengths 13 91 | 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) | 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) | 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) | 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) | 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) |
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