Update README.md

README.md

@@ -62,7 +62,7 @@ task_ids:
 MQA is a multilingual corpus of questions and answers parsed from the [Common Crawl](https://commoncrawl.org/). Questions are divided between *Frequently Asked Questions (FAQ)* pages and *Community Question Answering (CQA)* pages.
 ```
 from datasets import load_dataset
-load_dataset("clips/mqa", language="en")
+all = load_dataset("clips/mqa", language="en")
 {
   "name": "the title of the question (if any)",
   "text": "the body of the question (if any)",
@@ -71,10 +71,12 @@ load_dataset("clips/mqa", language="en")
     "is_accepted": "true|false"
   }]
 }
+faq = load_dataset("clips/mqa", scope="faq", language="en")
+cqa = load_dataset("clips/mqa", scope="cqa", language="en")
 ```
 
 ## Languages
-We collected around 234M pairs of questions and answers in 39 different languages. To download a language specific subset you need to specify the language key as configuration. See below for an example.
+We collected around **234M pairs** of questions and answers in **39 languages**. To download a language specific subset you need to specify the language key as configuration. See below for an example.
 ```
 load_dataset("clips/mqa", language="en") # replace "en" by any language listed below
 ```
@@ -104,26 +106,41 @@ load_dataset("clips/mqa", language="en") # replace "en" by any language listed b
 | Hungarian  | hu  | 8,598     | 1,264     |
 | Croatian   | hr  | 5,215     | 819       |
 
-## Data Fields
-#### Nested (per page - default)
-The data is organized by page. Each page contains a list of questions and answers.
-- **id** 
-- **language**
-- **num_pairs**: the number of FAQs on the page
-- **domain**: source web domain of the FAQs
-- **qa_pairs**: a list of questions and answers
-  - **question**
-  - **answer**
-  - **language**
-  
-#### Flattened
-The data is organized by pair (i.e. pages are flattened). You can access the flat version of any language by appending `_flat` to the configuration (e.g. `en_flat`). The data will be returned pair-by-pair instead of page-by-page. 
-- **domain_id** 
-- **pair_id**
-- **language**
-- **domain**: source web domain of the FAQs
-- **question**
-- **answer**
+## FAQ vs. CQA
+You can download the *Frequently Asked Questions* or the *Community Question Answering* part of the dataset by specifying the scope in the dataset construction. Specify `all` to download both.
+
+```
+faq = load_dataset("clips/mqa", scope="faq")
+cqa = load_dataset("clips/mqa", scope="cqa")
+all = load_dataset("clips/mqa", scope="all")
+```
+
+## Nesting and Data Fields
+You can specify three different nesting level: `question`, `page` and `domain`.
+#### Question
+```
+load_dataset("clips/mqa", level="question") # default
+```
+The default level is the question object:
+- **name**: the title of the question (if any)
+- **text**: the body of the question (if any)
+- **answers**: a list of answers
+    - **text**: the title of the answer (if any)
+    - **name**: the body of the answer
+    - **is_accepted**: true if the answer is selected.
+
+#### Page
+This level returns a list of questions present on the same page. This is mostly useful for FAQs since CQAs already have one question per page.
+```
+load_dataset("clips/mqa", level="page")
+```
+
+#### Domain
+This level returns a list of pages present on the web domain. This is a good way to cope with FAQs duplication by sampling one page per domain at each epoch.
+
+```
+load_dataset("clips/mqa", level="domain")
+```
 
 ## Source Data
 
@@ -131,10 +148,10 @@ This section was adapted from the source data description of [OSCAR](https://hug
 
 Common Crawl is a non-profit foundation which produces and maintains an open repository of web crawled data that is both accessible and analysable. Common Crawl's complete web archive consists of petabytes of data collected over 8 years of web crawling. The repository contains raw web page HTML data (WARC files), metdata extracts (WAT files) and plain text extracts (WET files). The organisation's crawlers has always respected nofollow and robots.txt policies.
 
-To construct MFAQ, the WARC files of Common Crawl were used. We looked for `FAQPage` markup in the HTML and subsequently parsed the `FAQItem` from the page. 
+To construct MQA, we used the WARC files of Common Crawl.
 
 ## People
-This model was developed by [Maxime De Bruyn](https://www.linkedin.com/in/maximedebruyn/), Ehsan Lotfi, Jeska Buhmann and Walter Daelemans.
+This model was developed by [Maxime De Bruyn](https://maximedb.vercel.app), Ehsan Lotfi, Jeska Buhmann and Walter Daelemans.
 
 ## Licensing Information
 ```