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dataset: Zaid/coqa_expanded | |
templates: | |
12ad4331-d063-4b56-b0f6-76f59c690717: !Template | |
answer_choices: null | |
id: 12ad4331-d063-4b56-b0f6-76f59c690717 | |
jinja: "Below is a passage, followed by a series of questions and answers about\ | |
\ the passage. Answer the last question based on the information contained in\ | |
\ the passage. If there is no answer in the passage, say \"unknown\".\n\nPassage:\ | |
\ {{story}}\n\nQ: {{question}} \nA: ||| {% if answer[\"answer_start\"] != -1\ | |
\ %}\n{{answer[\"input_text\"]}}\n{% else %}\nunknown\n{% endif %}" | |
metadata: !TemplateMetadata | |
choices_in_prompt: false | |
metrics: | |
- Other | |
original_task: true | |
name: Verbose instructions | |
reference: 'Metric: variant of SQuAD (Section 6.1 of the paper)' | |
2f9fb20d-f4c9-4371-9cd4-db47607cb7a3: !Template | |
answer_choices: null | |
id: 2f9fb20d-f4c9-4371-9cd4-db47607cb7a3 | |
jinja: "What is the answer to the last question in the dialogue below? If there\ | |
\ is no answer in the passage, say \"unknown\".\n\nPassage: {{story}}\n\nQ:\ | |
\ {{question}} \nA: ||| {% if answer[\"answer_start\"] != -1 %}\n{{answer[\"\ | |
input_text\"]}}\n{% else %}\nunknown\n{% endif %}" | |
metadata: !TemplateMetadata | |
choices_in_prompt: false | |
metrics: | |
- Other | |
original_task: true | |
name: What is the answer | |
reference: 'Metric: variant of SQuAD (Section 6.1 of the paper)' | |
9aff8967-d41c-4d79-8ef4-fc3650773735: !Template | |
answer_choices: null | |
id: 9aff8967-d41c-4d79-8ef4-fc3650773735 | |
jinja: "Complete the dialogue based on the information contained in the passage.\ | |
\ If there is no answer in the passage, say \"unknown\".\n\nPassage: {{story}}\n\ | |
\nQ: {{question}} \nA: ||| {% if answer[\"answer_start\"] != -1 %}\n{{answer[\"\ | |
input_text\"]}}\n{% else %}\nunknown\n{% endif %}" | |
metadata: !TemplateMetadata | |
choices_in_prompt: false | |
metrics: | |
- Other | |
original_task: true | |
name: Complete the dialogue | |
reference: 'Metric: variant of SQuAD (Section 6.1 of the paper)' | |
9bc32f2e-eee6-4006-bce3-74a79403d33e: !Template | |
answer_choices: null | |
id: 9bc32f2e-eee6-4006-bce3-74a79403d33e | |
jinja: "Answer the last question based on the information contained in the passage.\ | |
\ If there is no answer in the passage, say \"unknown\".\n\nPassage: {{story}}\n\ | |
\nQ: {{question}} \nA: ||| {% if answer[\"answer_start\"] != -1 %}\n{{answer[\"\ | |
input_text\"]}}\n{% else %}\nunknown\n{% endif %}" | |
metadata: !TemplateMetadata | |
choices_in_prompt: false | |
metrics: | |
- Other | |
original_task: true | |
name: Answer the last question | |
reference: 'Metric: variant of SQuAD (Section 6.1 of the paper)' | |
bacb6534-e607-4afc-a412-ccfcd9fe38e2: !Template | |
answer_choices: null | |
id: bacb6534-e607-4afc-a412-ccfcd9fe38e2 | |
jinja: 'In the passage below, extract the part which answers the last question. | |
If there is no answer in the passage, say "unknown". | |
Passage: {{story}} | |
Q: {{question}} | |
A: ||| | |
{% if answer["answer_start"] != -1 %} | |
{{story[answer["answer_start"] : answer["answer_end"] ]}} | |
{% else %} | |
unknown | |
{% endif %}' | |
metadata: !TemplateMetadata | |
choices_in_prompt: false | |
metrics: | |
- Squad | |
original_task: false | |
name: extract_answer | |
reference: '' | |
be39974f-aa86-4076-b444-bd3c2732b17b: !Template | |
answer_choices: null | |
id: be39974f-aa86-4076-b444-bd3c2732b17b | |
jinja: "Help me complete the dialogue about this passage. If there is no answer\ | |
\ in the passage, say \"unknown\".\n\nPassage: {{story}}\n\nQ: {{question}}\ | |
\ \nA: ||| {% if answer[\"answer_start\"] != -1 %}\n{{answer[\"input_text\"\ | |
]}}\n{% else %}\nunknown\n{% endif %}" | |
metadata: !TemplateMetadata | |
choices_in_prompt: false | |
metrics: | |
- Other | |
original_task: true | |
name: Help me | |
reference: 'Metric: variant of SQuAD (Section 6.1 of the paper)' | |
d95440ce-d538-40f8-ae09-664e05852ca8: !Template | |
answer_choices: null | |
id: d95440ce-d538-40f8-ae09-664e05852ca8 | |
jinja: "{{story}}\n\nQ: {{question}} \nA: ||| {% if answer[\"answer_start\"] !=\ | |
\ -1 %}\n{{answer[\"input_text\"]}}\n{% else %}\nunknown\n{% endif %}" | |
metadata: !TemplateMetadata | |
choices_in_prompt: false | |
metrics: | |
- Other | |
original_task: true | |
name: GPT-3 Style | |
reference: 'Brown et al. NeurIPS 2020. Metric: variant of SQuAD (Section 6.1 of | |
the paper)' | |