update readme

README.md

@@ -10,7 +10,7 @@ task_categories:
 - token-classification
 pretty_name: NoReC TSA
 dataset_info:
-- config_name: binary
+- config_name: default
   features:
   - name: idx
     dtype: string
@@ -20,64 +20,21 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 2296476
     num_examples: 8634
   - name: validation
-    num_bytes: 411562
     num_examples: 1531
   - name: test
-    num_bytes: 346288
     num_examples: 1272
-  download_size: 898904
-  dataset_size: 3054326
+
   homepage: https://github.com/ltgoslo/norec_tsa
   citation: "@InProceedings{OvrMaeBar20,\n  author = {Lilja Øvrelid and Petter Mæhlum\
     \ and Jeremy Barnes and Erik Velldal},\n  title = {A Fine-grained Sentiment Dataset\
     \ for {N}orwegian},\n  booktitle = {{Proceedings of the 12th Edition of the Language\
     \ Resources and Evaluation Conference}},\n  year = 2020,\n  address = \"Marseille,\
     \ France, 2020\"\n}"
-- config_name: default
-  features:
-  - name: idx
-    dtype: string
-  - name: tokens
-    sequence: string
-  - name: tsa_tags
-    sequence: string
-  splits:
-  - name: train
-    num_bytes: 2296476
-    num_examples: 8634
-  - name: validation
-    num_bytes: 411562
-    num_examples: 1531
-  - name: test
-    num_bytes: 346288
-    num_examples: 1272
-  download_size: 898904
-  dataset_size: 3054326
-- config_name: intensity
-  features:
-  - name: idx
-    dtype: string
-  - name: tokens
-    sequence: string
-  - name: tsa_tags
-    sequence: string
-  splits:
-  - name: train
-    num_bytes: 2316306
-    num_examples: 8634
-  - name: validation
-    num_bytes: 414972
-    num_examples: 1531
-  - name: test
-    num_bytes: 349228
-    num_examples: 1272
-  download_size: 0
-  dataset_size: 3080506
+
 configs:
-- config_name: binary
+- config_name: default
   data_files:
   - split: train
     path: binary/train-*
@@ -137,15 +94,15 @@ Norwegian: Predominantly Bokmål written variant.
 
 ## Dataset Structure
 The dataset comes in two flavours:
-- `binary` configuration yields labels with binary Positive / Negative sentiment description
+- `default` configuration yields labels with binary Positive / Negative sentiment description
 - `intensity` configuration yields labels with additional sentiment intensity, 1: Slight, 2: Standard, and 3: Strong.  
 
-The config is mandatory when loading the dataset and can be passed as a second positional parameter, e.g. `tsa_data = load_dataset("ltg/norec_tsa", "binary")`
+The config is required for accessing the version with intensity. `tsa_data = load_dataset("ltg/norec_tsa", "intensity")`
 The dataset comes with predefined train, dev (vallidation) and test splits. 
 
 
 ### Data Instances
-Config "binary" example instance:
+Config "default" example instance:
 ```
 {'idx': '701363-08-02',
  'tokens': ['Vi', 'liker', 'det', '.'],