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