Update README.md

README.md

@@ -1,11 +1,10 @@
 ---
 license: mit
 tags:
-- code-generation
-- triton
-- pytorch
 - Python
-- code-optimization
+- Pytorch
+- Triton
+- Kernal-Optimization
 task_categories:
 - text-generation
 language:
@@ -14,8 +13,6 @@ size_categories:
 - 10K<n<100K
 ---
 
-# TEEN-D/Code_Opt_Triton
-
 ## Overview
 
 This dataset, `TEEN-D/Code_Opt_Triton`, is an extended version of the publicly available [GPUMODE/Inductor_Created_Data_Permissive](https://huggingface.co/datasets/GPUMODE/Inductor_Created_Data_Permissive) dataset. It contains pairs of original (PyTorch or Triton) programs and their equivalent Triton code (generated by torch inductor), intended for training models in PyTorch-to-Triton code translation and optimization.
@@ -26,6 +23,17 @@ This dataset was created as part of research exploring the capabilities of Large
 
 **License:** This dataset is derived from the [GPUMODE/Inductor_Created_Data_Permissive](https://huggingface.co/datasets/GPUMODE/Inductor_Created_Data_Permissive) dataset, which is released under the **MIT License**. Therefore, this extended version is also shared under the **MIT License**. You are free to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of this dataset, subject to the terms of the MIT License.
 
+
+
+## Rationale
+This extended dataset, pairing optimized Triton with both original Triton and Python code, enhances training for preference-based methods like GRPO/DPO by:
+
+- Providing richer preference signals through diverse (original, optimized) pairs.
+- Improving the LLM's understanding of semantic equivalence between PyTorch and Triton.
+- Reducing bias towards a specific input format (Triton vs. Python).
+- Potentially creating more meaningful comparison groups for GRPO.
+- Offering more diverse "rejected" samples for DPO against the "accepted" optimized Triton.
+
 ## Dataset Creation
 
 This dataset was generated by processing the [GPUMODE/Inductor_Created_Data_Permissive](https://huggingface.co/datasets/GPUMODE/Inductor_Created_Data_Permissive) dataset through the following steps: