Datasets:
Update README.md to comply with CC-BY-2.5
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README.md
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---
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dataset_info:
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- config_name: question-answer-passages
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features:
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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: id
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dtype: int64
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- name: relevant_passage_ids
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sequence: int64
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splits:
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- name: train
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num_bytes: 1900746
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num_examples: 4719
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download_size: 1280794
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dataset_size: 1900746
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- config_name: text-corpus
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features:
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- name: passage
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dtype: string
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- name: id
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dtype: int64
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splits:
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- name: train
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num_bytes: 60184778
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num_examples: 40221
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download_size: 35288127
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dataset_size: 60184778
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configs:
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- config_name: question-answer-passages
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data_files:
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- split: train
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path: question-answer-passages/train-*
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- config_name: text-corpus
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data_files:
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- split: train
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path: text-corpus/train-*
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license: cc-by-2.5
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task_categories:
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- question-answering
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- sentence-similarity
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language:
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- en
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tags:
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- biology
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- medical
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- rag
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---
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---
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dataset_info:
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- config_name: question-answer-passages
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features:
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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: id
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dtype: int64
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- name: relevant_passage_ids
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sequence: int64
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splits:
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- name: train
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+
num_bytes: 1900746
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+
num_examples: 4719
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+
download_size: 1280794
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dataset_size: 1900746
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- config_name: text-corpus
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features:
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- name: passage
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dtype: string
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- name: id
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dtype: int64
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splits:
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- name: train
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num_bytes: 60184778
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num_examples: 40221
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download_size: 35288127
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+
dataset_size: 60184778
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configs:
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- config_name: question-answer-passages
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data_files:
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- split: train
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path: question-answer-passages/train-*
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- config_name: text-corpus
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data_files:
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- split: train
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path: text-corpus/train-*
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license: cc-by-2.5
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task_categories:
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- question-answering
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- sentence-similarity
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language:
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- en
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tags:
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- biology
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- medical
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- rag
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---
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This dataset is a subset of a training dataset by [the BioASQ Challenge](http://www.bioasq.org/), which is available [here](http://participants-area.bioasq.org/Tasks/11b/trainingDataset/).
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It is derived from [`rag-datasets/rag-mini-bioasq`](https://huggingface.co/datasets/rag-datasets/rag-mini-bioasq).
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Modifications include filling in missing passages (some of them contained `"nan"` instead of actual text) and changing `relevant_passage_ids`' type from string to sequence of ints.
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