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--- |
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license: unknown |
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dataset_info: |
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- config_name: corpus |
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features: |
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- name: query_id |
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dtype: string |
|
- name: snippets |
|
dtype: string |
|
- name: air_date |
|
dtype: string |
|
- name: category |
|
dtype: string |
|
- name: value |
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dtype: string |
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- name: round |
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dtype: string |
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- name: show_number |
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dtype: int32 |
|
- name: doc_id |
|
dtype: string |
|
- name: __index_level_0__ |
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dtype: int64 |
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splits: |
|
- name: train |
|
num_bytes: 6252715344 |
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num_examples: 14120776 |
|
download_size: 3271155810 |
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dataset_size: 6252715344 |
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- config_name: qa_data |
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features: |
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- name: query_id |
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dtype: string |
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- name: question |
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dtype: string |
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- name: answer |
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dtype: string |
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- name: search_results |
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struct: |
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- name: related_links |
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sequence: string |
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- name: snippets |
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sequence: string |
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- name: titles |
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sequence: string |
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- name: urls |
|
sequence: string |
|
- name: doc_id |
|
sequence: string |
|
- name: __index_level_0__ |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 6503932619 |
|
num_examples: 173397 |
|
- name: test |
|
num_bytes: 1830028629 |
|
num_examples: 43350 |
|
download_size: 5008413626 |
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dataset_size: 8333961248 |
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configs: |
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- config_name: corpus |
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data_files: |
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- split: train |
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path: corpus/train-* |
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- config_name: qa_data |
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data_files: |
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- split: train |
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path: qa_data/train-* |
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- split: test |
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path: qa_data/test-* |
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--- |
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# preprocessed_SearchQA |
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|
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The SearchQA question-answer pairs originate from J! Archive2, which comprehensively archives all question-answer pairs |
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from the renowned television show Jeopardy! The passages, sourced from Google search web page snippets. |
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We offer passage metadata, encompassing details like 'air_date,' 'category,' 'value,' 'round,' and 'show_number,' |
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enabling you to enhance retrieval performance at your discretion. |
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Should you require further details about SearchQA, please refer to below links. |
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[Github](https://github.com/nyu-dl/dl4ir-searchQA)<br> |
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[Paper](https://arxiv.org/abs/1704.05179)<br> |
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|
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The dataset is derived from [searhQA](https://huggingface.co./datasets/search_qa).<br> |
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This preprocessed dataset is for RAG. For more information about our task, visit our [repository](https://github.com/NomaDamas/RAGchain)!<br> |
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|
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Preprocess SearchQA dataset code for RAG benchmark. <br> |
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More information, refer to this link! [huggingface](https://huggingface.co./datasets/NomaDamas/search_qa_split) |
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