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train.json → LLukas22--lfqa_preprocessed/json-train-00000-of-00003.parquet

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validation.json → LLukas22--lfqa_preprocessed/json-train-00002-of-00003.parquet

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LLukas22--lfqa_preprocessed/json-validation.parquet

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README.md

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----
-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.