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--- |
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dataset_info: |
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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: context |
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sequence: string |
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splits: |
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- name: train |
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num_bytes: 1103867201.974574 |
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num_examples: 218894 |
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- name: validation |
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num_bytes: 14929675.549668875 |
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num_examples: 2904 |
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download_size: 651254676 |
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dataset_size: 1118796877.5242429 |
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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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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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- 100K<n<1M |
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--- |
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# Dataset Card |
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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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I have filtered out overly long answers, based on the number of tokens in the answer using the LED tokenizer. |
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It can be reproduced with the notebook `process-lfqa-dataset.ipynb`. |
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LLukas22/lfqa_preprocessed | stefanbschneider/lfqa-max-answer-length-1024 |
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:-------------------------:|:-------------------------: |
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 |  |
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Max answer length: 5964 tokens | Max answer length: 1024 tokens (~6x shorter) |
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Num answers (train): 226147 | Num answers (train): 218894 (~3% less) |
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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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### Licensing Information |
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This dataset is distributed under the MIT licence. |
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