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README.md
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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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path: data/train-*
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- split: validation
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path: data/validation-*
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license: mit
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task_categories:
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- question-answering
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- text2text-generation
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language:
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- en
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size_categories:
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- 10K<n<100K
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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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The dataset contains simple, long-form answers to questions and corresponding contexts.
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Similar to ELI5 but with context.
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This dataset is a filtered version of [**LLukas22/lfqa_preprocessed**](https://huggingface.co/datasets/LLukas22/lfqa_preprocessed),
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which in turn is a processed and simplified version of 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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This dataset (stefanbschneider/lfqa_preprocessed) has filtered out overly long answers (around 3%).
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It can be reproduced with the notebook `process-lfqa-dataset.ipynb`.
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Details of the original LFQA dataset: [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 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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| |218894| 2904|
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## Additional Information
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### Licensing Information
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This dataset is distributed under the MIT licence.
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