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 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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