Update README.md

README.md

@@ -122,34 +122,9 @@ Each data file includes standardized columns:
 
 ---
 
-## Using the Parsing Script
-
-To convert raw datasets into the standardized format used in this folder, use the helper script:
-
-**Script:** `script/script_parse_dataset.py`
-
-This script loads a dataset in CSV, TSV, JSONL, or Excel format and outputs a standardized parsed file under parsed_data/.
-
-What the Script Automatically Handles
-- Detects common text columns (e.g., text, tweet, post, content)
-- Detects common label columns (e.g., label, class, ground_truth, stance)
-- Standardizes output columns to: `Text`, `id`, `source`, and `ground_truth` (only included if the dataset has labels).
-
-### Example
-
-```bash
-python script/script_parse_dataset.py \
-  --input_file example.csv \
-  --dataset_name example_data \
-  --text_col text
-```
-
-(Optional) Manually specifying ununsual column names:
-
-```bash
-python script/script_parse_dataset.py \
-  --input_file example.tsv \
-  --dataset_name example_data \
-  --text_col text \
-  --label_col category
-```
+### Yelp Reviews
+- **Text content**: Yelp restaurant reviews
+- **Dataset**: [Data](https://www.yelp.com/dataset)
+- **Annotation goal**:
+  - Sentiment Task: Classify the overall evaluation expressed in a Yelp restaurant review.
+- **Ground truth**: Provided