Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
conversational-qa
License:
add dataset_info in dataset metadata
Browse files
README.md
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@@ -22,6 +22,48 @@ paperswithcode_id: sharc
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pretty_name: Shaping Answers with Rules through Conversation
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tags:
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- conversational-qa
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---
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# Dataset Card for Shaping Answers with Rules through Conversation
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pretty_name: Shaping Answers with Rules through Conversation
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tags:
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- conversational-qa
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: utterance_id
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dtype: string
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- name: source_url
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dtype: string
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- name: snippet
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dtype: string
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- name: question
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dtype: string
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- name: scenario
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dtype: string
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- name: history
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list:
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- name: follow_up_question
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dtype: string
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- name: follow_up_answer
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dtype: string
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- name: evidence
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list:
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- name: follow_up_question
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dtype: string
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- name: follow_up_answer
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dtype: string
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- name: answer
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dtype: string
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- name: negative_question
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dtype: bool_
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- name: negative_scenario
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dtype: bool_
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config_name: sharc
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splits:
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- name: train
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num_bytes: 15088577
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num_examples: 21890
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- name: validation
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num_bytes: 1469172
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num_examples: 2270
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download_size: 5230207
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dataset_size: 16557749
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---
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# Dataset Card for Shaping Answers with Rules through Conversation
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