small fixes

README.md

@@ -18,7 +18,7 @@ tags:
 - speeches
 - politics
 - parliament
-- british
+- British
 task_categories:
 - text-classification
 - text-generation
@@ -69,8 +69,8 @@ A dataset containing every speech in the House of Commons from May 1979-July 202
 
 ### Supported Tasks and Leaderboards
 
-- `text-classification`: This dataset can be used to clasify various texts (transcribed from speeches) as different time periods or as different types
-- `language-modeling`: This dataset can be used to contribute to the training or evaluation of language models for historical texts.
+- `text-classification`: This dataset can be used to classify various texts (transcribed from speeches) as different time periods or as different types
+- `language-modeling`: This dataset can contribute to the training or the evaluation of language models for historical texts.
 
 ### Languages
 
@@ -142,13 +142,13 @@ Train: 2694375
 
 ### Curation Rationale
 
-This dataset contains all the speeches made in the House of Commons and can be used for a number of deep learning tasks like detecting how language and societal views have changed over the >40 years this dataset encompasses
+This dataset contains all the speeches made in the House of Commons and can be used for a number of deep learning tasks like detecting how language and societal views have changed over the >40 years. The dataset also provides language closer to the spoken language used in an elite British institution. 
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-The dataset is created by getting the data from [data.parliament.uk](http://data.parliament.uk/membersdataplatform/memberquery.aspx). There is no normalization
+The dataset is created by getting the data from [data.parliament.uk](http://data.parliament.uk/membersdataplatform/memberquery.aspx). There is no normalization.
 
 #### Who are the source language producers?
 
@@ -176,7 +176,7 @@ The purpose of this dataset is to understand how language use and society's view
 
 ### Discussion of Biases
 
-Because of the long time period this dataset spans, it might contain language and opinions that are unacceptable in modern society
+Because of the long time period this dataset spans, it might contain language and opinions that are unacceptable in modern society. 
 
 ### Other Known Limitations