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--- |
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license: mit |
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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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size_categories: |
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- 100K<n<1M |
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--- |
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# Dataset Card for "lfqa_preprocessed" |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Additional Information](#additional-information) |
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- [Licensing Information](#licensing-information) |
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## Dataset Description |
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- **Homepage:** [https://towardsdatascience.com/long-form-qa-beyond-eli5-an-updated-dataset-and-approach-319cb841aabb](https://towardsdatascience.com/long-form-qa-beyond-eli5-an-updated-dataset-and-approach-319cb841aabb) |
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### Dataset Summary |
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This is a simplified version of [vblagoje's](https://huggingface.co/vblagoje) [lfqa_support_docs](https://huggingface.co/datasets/vblagoje/lfqa_support_docs) and [lfqa](https://huggingface.co/datasets/vblagoje/lfqa) datasets. |
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It was generated by me to have a more straight forward way to train Seq2Seq models on context based long form question answering tasks. |
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## Dataset Structure |
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### Data Instances |
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An example of 'train' looks as follows. |
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```json |
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{ |
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"question": "what's the difference between a forest and a wood?", |
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"answer": "They're used interchangeably a lot. You'll get different answers from different resources, but the ...", |
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"context": [ |
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"Wood is divided, according to its botanical origin, into two kinds: softwoods, ...", |
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"Processing and products differs especially with regard to the distinction between softwood and hardwood ..." |
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] |
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} |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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- `question`: a `string` feature. |
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- `answer`: a `string` feature. |
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- `context`: a list feature containing `string` features. |
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### Data Splits |
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| name |train|validation| |
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|----------|----:|---------:| |
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| |226147| 3020| |
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## Additional Information |
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### Licensing Information |
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This dataset is distributed under the MIT licence. |
