Update README.md

README.md

@@ -60,27 +60,4 @@ The data is organized by language pair and domain. Each language pair directory
 
 Each dataset configuration is provided as a single **tab-separated text file** (`.txt`).
 
-Each line in the file represents a parallel sentence pair, with the source language sentence and the target language sentence separated by a single tab character (`\t`).
-
----
-
-## How to Use
-
-You can easily load this dataset using the Hugging Face `datasets` library. You will need to specify the configuration name, which is a combination of the language pair and the domain.
-
-The configuration name follows the pattern: `{src_lang}-{tgt_lang}_{domain}`. For example, to load the Hindi-Gujarati pair from the general domain, you would use `hi-gu_general`.
-
-```python
-# Make sure you have the 'datasets' library installed
-# pip install datasets
-
-from datasets import load_dataset
-
-# Example 1: Load the English-Hindi pair from the Health domain
-en_hi_health_dataset = load_dataset("HimangY/CoRil-Parallel", "en-hi_health")
-
-# Example 2: Load the Hindi-Kannada pair from the Governance domain
-hi_kn_gov_dataset = load_dataset("HimangY/CoRil-Parallel", "hi-kn_governance")
-
-# Access the data splits (e.g., train)
-print(en_hi_health_dataset['train'][0])
+Each line in the file represents a parallel sentence pair, with the source language sentence and the target language sentence separated by a single tab character (`\t`).