add figures and comparison

README.md

@@ -34,7 +34,7 @@ size_categories:
 ---
 
 
-# Dataset Card for "lfqa_preprocessed"
+# Dataset Card for "stefanbschneider/lfqa_preprocessed"
 
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
@@ -52,12 +52,18 @@ size_categories:
 The dataset contains simple, long-form answers to questions and corresponding contexts.
 Similar to ELI5 but with context.
 
-This dataset is a filtered version of [**LLukas22/lfqa_preprocessed**](https://huggingface.co/datasets/LLukas22/lfqa_preprocessed),
+This dataset is a filtered version of [LLukas22/lfqa_preprocessed](https://huggingface.co/datasets/LLukas22/lfqa_preprocessed),
 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.
 
 This dataset (stefanbschneider/lfqa_preprocessed) has filtered out overly long answers (around 3%).
 It can be reproduced with the notebook `process-lfqa-dataset.ipynb`. 
 
+LLukas22/lfqa_preprocessed             |  stefanbschneider/lfqa_preprocessed
+:-------------------------:|:-------------------------:
+![](answer-lengths-chars.png)  |  ![](answer-lengths-chars-filtered.png)
+Max answer length: 26123 chars | Max answer length: 7035 chars (more than 3x shorter)
+Num answers (train): 226147    | Num answers (train): 218894 (~3% less)
+
 
 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)