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--- |
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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: title |
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dtype: string |
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- name: context |
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dtype: string |
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- name: question |
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dtype: string |
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- name: answers |
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sequence: |
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- name: text |
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dtype: string |
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- name: answer_start |
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dtype: int32 |
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splits: |
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- name: train |
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num_bytes: 123795424 |
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num_examples: 128186 |
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- name: validation |
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num_bytes: 12424029 |
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num_examples: 11789 |
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download_size: 19275230 |
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dataset_size: 136219453 |
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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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- split: validation |
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path: data/validation-* |
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--- |
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### Dataset Summary |
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This is a Finnish SQuAD question answering dataset used in Finbench version 2. It is a DeepL -based machine translation of the English SQuAD2.0 dataset which combines the 100,000 questions in |
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SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones. |
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To do well on SQuAD2.0, systems must not only answer questions when possible, but also determine when no answer is supported |
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by the paragraph and abstain from answering. |
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### Considerations for Using the Data |
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Due to DeepL terms and conditions, this dataset **must not be used for any machine translation work**, namely machine translation |
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system development and evaluation of any kind. In general, we wish you do not pair the original English data with the translations |
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except when working on research unrelated to machine translation, so as not to infringe on the terms and conditions. |
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### Licensing Information |
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Contents of this repository are distributed under the |
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[Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/). |
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Copyright of the dataset contents belongs to the original copyright holders. |
