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README.md
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---
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license: mit
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dataset_info:
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features:
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- name: query
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dtype: string
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- name: candidates
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list:
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- name: abstract
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dtype: string
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- name: author_names
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sequence: string
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- name: corpus_id
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dtype: int64
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- name: doc_id
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dtype: string
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- name: n_citations
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dtype: int64
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- name: n_key_citations
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dtype: int64
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- name: score
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dtype: int64
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- name: title
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dtype: string
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- name: venue
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dtype: string
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- name: year
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dtype: float64
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splits:
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- name: train
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num_bytes: 25210640
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num_examples: 1571
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download_size: 13255874
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dataset_size: 25210640
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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license: mit
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dataset_info:
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features:
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- name: query
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dtype: string
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- name: candidates
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list:
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- name: abstract
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dtype: string
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- name: author_names
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sequence: string
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- name: corpus_id
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dtype: int64
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- name: doc_id
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dtype: string
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- name: n_citations
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dtype: int64
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- name: n_key_citations
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dtype: int64
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- name: score
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dtype: int64
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- name: title
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dtype: string
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- name: venue
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dtype: string
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- name: year
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dtype: float64
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splits:
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- name: train
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num_bytes: 25210640
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num_examples: 1571
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download_size: 13255874
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dataset_size: 25210640
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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task_categories:
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- question-answering
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language:
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- en
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tags:
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- chemistry
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- biology
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- semiconductor
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- physics
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- toolings
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pretty_name: Semiconductor Science Paper Dataset
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size_categories:
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- n<1K
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---
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# Semiconductor Dataset
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<!-- Provide a quick summary of the dataset. -->
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This dataset is a collection of Scientific Report / Paper related to Semiconductor.
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## Dataset Details
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This dataset was curated from the SciRepEval dataset and only using any information that related to Semiconductor fields.
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