Update README.md

README.md

@@ -74,23 +74,23 @@ This dataset is a DeepL -based machine translation of a part of the English sect
 
 ### Data Instances
 
-One example from the `English` dataset is given below in JSON format. 
+One example from the `Finnish` dataset is given below in JSON format. 
   ```
   {
     "id": "technology-17657859",
     "url": "https://www.bbc.com/news/technology-17657859",
-    "title": "title"
-    "summary": "summary",
-    "text": "text"
+    "title": "Walesin myrskytuulien vuoksi annettu säävaroitus",
+    "summary": "Tuulet voivat yltyä Walesissa myrskytuuliin, ja myrskysää on luvassa koko maahan tällä viikolla.",
+    "text": "Met Office on antanut Walesin ja Englannin kattavan keltaisen tuulivaroituksen keskiviikkoillasta kello 21.00 GMT alkaen. Matkustaminen ja sähkönjakelu todennäköisesti häiriintyvät, ja varoitus on voimassa torstaihin kello 15:00 asti. Puuskat ovat todennäköisesti nopeudeltaan 88 kilometriä tunnissa, ja rannikoilla ja kukkuloilla puuskat voivat nousta jopa 70 kilometriin tunnissa, ja lisäksi voi esiintyä rankkasateita ja myrskyisiä sadekuuroja."
   }
   ```
 
 ### Data Fields
 -  'id': A string representing the article ID, matched to the XLSum dataset original
 -  'url': A string representing the article URL as in the original XLSum dataset
--  'title': A string containing the article title.
--  'summary': A string containing the article summary.
--  'text' : A string containing the article text. 
+-  'title': A string containing the article title, machine-translated to Finnish
+-  'summary': A string containing the article summary, machine-translated to Finnish
+-  'text' : A string containing the article text, machine-translated to Finnish
 
 
 ### Data Splits
@@ -107,7 +107,7 @@ Follows the XLSum dataset.
 
 #### Initial Data Collection and Normalization
 
-[Detailed in the paper](https://aclanthology.org/2021.findings-acl.413/) For this present dataset, only English was used as the source and only examples where the full text is at maximum 10x in length compared to the summary are preserved.
+[Detailed in the paper](https://aclanthology.org/2021.findings-acl.413/) For this present dataset, only English was used as the source and only examples where the full text is at maximum 10x in length compared to the summary are preserved. This 10x cutoff is naturally measured on English.
 
 #### Who are the source language producers?
 
@@ -137,7 +137,7 @@ Follows the XLSum dataset.
 
 ### Other Known Limitations
 
-Due to DeepL terms and conditions, this dataset **must not be used for machine translation work**, namely machine translation system development and evaluation of any kind. In general, we wish you do not pair the original English data with the translations, so as not to infringe on the terms and conditions.
+Due to DeepL terms and conditions, this dataset **must not be used for any machine translation work**, namely machine translation system development and evaluation of any kind. In general, we wish you do not pair the original English data with the translations except when working on research unrelated to machine translation, so as not to infringe on the terms and conditions.
 
 ## Additional Information
 
@@ -150,7 +150,7 @@ Contents of this repository are restricted to only non-commercial research purpo
 
 ### Citation Information
 
-If you use any of the datasets, models or code modules, please cite the following paper and acknowledge Filip Ginter and the TurkuNLP group for this Finnish translation.
+If you use any of the datasets, models or code modules, please cite the original XL-Sum paper below as well as acknowledge Filip Ginter and the TurkuNLP group for the Finnish machine translated version.
 
 ```
 @inproceedings{hasan-etal-2021-xl,