Update README.md

README.md

@@ -14,21 +14,6 @@ size_categories:
   - 10K<n<100K
   - 100K<n<1M
 dataset_info:
-  - config_name: twenty_newsgroups
-    features:
-      - name: text
-        dtype: string
-      - name: label
-        dtype: int64
-      - name: label_text
-        dtype: string
-    splits:
-      - name: train
-        num_examples: 8586
-      - name: test
-        num_examples: 7532
-      - name: validation
-        num_examples: 2828
   - config_name: banking77
     features:
       - name: text
@@ -82,14 +67,6 @@ dataset_info:
       - name: validation
         num_examples: 2033
 configs:
-  - config_name: twenty_newsgroups
-    data_files:
-      - split: train
-        path: twenty_newsgroups/train.csv
-      - split: test
-        path: twenty_newsgroups/test.csv
-      - split: validation
-        path: twenty_newsgroups/validation.csv
   - config_name: banking77
     data_files:
       - split: train
@@ -122,4 +99,49 @@ configs:
         path: MASSIVE/test-*.parquet
       - split: validation
         path: MASSIVE/validation-*.parquet
----
+---
+
+
+# Data Preprocessing AutoML Benchmarks
+
+This repository contains text classification datasets with known data quality issues for preprocessing research in AutoML.
+
+## Usage
+
+Load a specific dataset configuration like this:
+
+```python
+from datasets import load_dataset
+
+# Example for loading the TREC dataset
+dataset = load_dataset("MothMalone/data-preprocessing-automl-benchmarks", "trec")
+```
+
+## Available Datasets
+
+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
+- Classes: 77
+
+### trec
+- Description: The Text REtrieval Conference (TREC) Question Classification dataset contains 5500 labeled questions in training set and another 500 for test set.
+- Data Quality Issue: N/A
+- Classes: 6
+
+### financial_phrasebank
+- Description: Financial sentiment analysis dataset with phrases from financial news.
+- Data Quality Issue: N/A
+- Classes: 3
+
+### MASSIVE
+- Description: Multilingual Amazon Slurp Synthetic Intent and Voice Evaluation dataset.
+- Data Quality Issue: N/A
+- Classes: 60