Update README.md

README.md

@@ -13,72 +13,6 @@ size_categories:
   - 1K<n<10K
   - 10K<n<100K
   - 100K<n<1M
-dataset_info:
-  - config_name: banking77
-    features:
-      - name: text
-        dtype: string
-      - name: label
-        dtype: int64
-    splits:
-      - name: train
-        num_examples: 7502
-      - name: test
-        num_examples: 3080
-      - name: validation
-        num_examples: 2501
-  - config_name: trec
-    features:
-      - name: text
-        dtype: string
-      - name: label
-        dtype: int64
-    splits:
-      - name: train
-        num_examples: 4089
-      - name: test
-        num_examples: 500
-      - name: validation
-        num_examples: 1363
-  - config_name: financial_phrasebank
-    features:
-      - name: text
-        dtype: string
-      - name: label
-        dtype: int64
-    splits:
-      - name: train
-        num_examples: 1698
-      - name: test
-        num_examples: 0
-      - name: validation
-        num_examples: 566
-  - config_name: MASSIVE
-    features:
-      - name: text
-        dtype: string
-      - name: label
-        dtype: int64
-    splits:
-      - name: train
-        num_examples: 11514
-      - name: test
-        num_examples: 2974
-      - name: validation
-        num_examples: 2033
-  - config_name: twenty_newsgroups
-    features:
-    - name: text
-      dtype: string
-    - name: label
-      dtype: int64
-    splits:
-    - name: train
-      num_examples: 8586   
-    - name: test
-      num_examples: 7532    
-    - name: validation
-      num_examples: 2828    
 configs:
   - config_name: banking77
     data_files:
@@ -122,7 +56,6 @@ configs:
       path: twenty_newsgroups/validation.csv
 ---
 
-
 # Data Preprocessing AutoML Benchmarks
 
 This repository contains text classification datasets with known data quality issues for preprocessing research in AutoML.
@@ -142,11 +75,6 @@ dataset = load_dataset("MothMalone/data-preprocessing-automl-benchmarks", "trec"
 
 Below are the details for each dataset configuration available in this repository.
 
-### twenty_newsgroups
-- Description: The 20 Newsgroups dataset is a collection of approximately 20,000 newsgroup documents, partitioned across 20 different newsgroups.
-- Data Quality Issue: N/A
-- Classes: 20
-
 ### banking77
 - Description: Dataset of online banking queries annotated with their corresponding intents.
 - Data Quality Issue: N/A
@@ -166,3 +94,8 @@ Below are the details for each dataset configuration available in this repositor
 - Description: Multilingual Amazon Slurp Synthetic Intent and Voice Evaluation dataset.
 - Data Quality Issue: N/A
 - Classes: 60
+
+### twenty_newsgroups
+- Description: The 20 Newsgroups dataset is a collection of approximately 20,000 newsgroup documents, partitioned across 20 different newsgroups.
+- Data Quality Issue: N/A
+- Classes: 20