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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 |
|
- name: candidates |
|
list: |
|
- name: abstract |
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dtype: string |
|
- name: author_names |
|
sequence: string |
|
- name: corpus_id |
|
dtype: int64 |
|
- name: doc_id |
|
dtype: string |
|
- name: n_citations |
|
dtype: int64 |
|
- name: n_key_citations |
|
dtype: int64 |
|
- name: score |
|
dtype: int64 |
|
- name: title |
|
dtype: string |
|
- name: venue |
|
dtype: string |
|
- name: year |
|
dtype: float64 |
|
splits: |
|
- name: train |
|
num_bytes: 25210640 |
|
num_examples: 1571 |
|
download_size: 13255874 |
|
dataset_size: 25210640 |
|
configs: |
|
- 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: |
|
- question-answering |
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language: |
|
- en |
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tags: |
|
- chemistry |
|
- biology |
|
- semiconductor |
|
- physics |
|
- toolings |
|
pretty_name: Semiconductor Science Paper Dataset |
|
size_categories: |
|
- n<1K |
|
--- |
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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. |
