Update README.md

README.md

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 ## Overview
 
-The [Australian Corpus of English (ACE)](https://figshare.mq.edu.au/articles/dataset/Australian_Corpus_of_English_ACE_/24629712?file=43778418) corpus was compiled to match Australian data from 1986 to the standard American and British corpora (Brown and LOB) from the 1960s. It includes **1 million words of published text** in **500 samples from 15 categories of nonfiction and fiction**.
-
 **Keywords**: Australian English, Corpus linguistics.
 
+The [Australian Corpus of English (ACE)](https://figshare.mq.edu.au/articles/dataset/Australian_Corpus_of_English_ACE_/24629712?file=43778418) corpus was compiled to match Australian data from 1986 to the standard American and British corpora (Brown and LOB) from the 1960s. It includes **1 million words of published text** in **500 samples from 15 categories of nonfiction and fiction**.
+
 ## Data Source
 
 The original dataset is from [Macquarie University Research Data - Australian Corpus of English (ACE)](https://figshare.mq.edu.au/articles/dataset/Australian_Corpus_of_English_ACE_/24629712?file=43778418)  and licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
 
-## Dataset Structure
-
-After unzipping `ACE.zip`, the dataset under `ACE` contains:
-
-- `data` contains 1718 `.txt` files including **plain** and **raw** two formats for each document.
-- `Manul` contains 18 `.HTM` files with **source subtitles** and **author** information for each document.
-
-## Download
-
-You can download it directly from [Macquarie University Research Data - Australian Corpus of English (ACE)](https://figshare.mq.edu.au/articles/dataset/Australian_Corpus_of_English_ACE_/24629712?file=43778418).
-
-You can also download it by running `download.py` in your terminal:
-
-```bash
-$ python3 download.py --help                       
-usage: download.py [-h] [--save_path SAVE_PATH] [--unzip]
-
-Download a file and optionally unzip it.
-
-options:
-  -h, --help            show this help message and exit
-  --save_path SAVE_PATH
-                        Path to save the downloaded file.
-  --unzip               Unzip the file if it's a zip archive.
-```
-
-For example:
-
-- `python3 download.py --save_path my_data --unzip` will download and unzip the dataset `ACE.zip` under the directory `my_data`.
-- `python3 download.py` will only download under the current directory.
-
-## License
-
-This repository is licensed under [MIT](https://opensource.org/license/mit).
+The current dataset is cleaned by [Gillian Law](https://huggingface.co/gillianalaw) and the uncleaned dataset can be found on [GitHub](https://github.com/southern-cross-ai/ACE).