Update README.md

README.md

@@ -26,7 +26,7 @@ model-index:
     results:
       - task:
           type: translation-quality-estimation
-          name: Thai-English Translation Quality Assessment
+          name: English-Thai Translation Quality Assessment
         dataset:
           type: wasanx/cometh_claude_augment
           name: COMETH Claude Augmentation Datasets
@@ -37,7 +37,7 @@ model-index:
             verified: false
       - task:
           type: translation-quality-estimation
-          name: Thai-English Translation Quality Comparison
+          name: English-Thai Translation Quality Comparison
         dataset:
           type: wasanx/cometh_human_annot
           name: COMETH Baseline Comparison
@@ -51,14 +51,14 @@ model-index:
             value: 0.4639
             verified: false
 ---
-# ComeTH (คำไทย): Thai-English Translation Quality Metrics
+# ComeTH (คำไทย): English-Thai Translation Quality Metrics
 
-ComeTH is a fine-tuned version of the COMET (Crosslingual Optimized Metric for Evaluation of Translation) model specifically optimized for Thai-English translation quality assessment. This model evaluates machine translation outputs by providing quality scores that correlate highly with human judgments.
+ComeTH is a fine-tuned version of the COMET (Crosslingual Optimized Metric for Evaluation of Translation) model specifically optimized for English-Thai translation quality assessment. This model evaluates machine translation outputs by providing quality scores that correlate highly with human judgments.
 
 ## Model Overview
 
 - **Model Type**: Translation Quality Estimation
-- **Languages**: Thai-English
+- **Languages**: English-Thai
 - **Base Model**: COMET (Unbabel/wmt22-cometkiwi-da)
 - **Encoder**: XLM-RoBERTa-based (microsoft/infoxlm-large)
 - **Architecture**: Unified Metric with sentence-level scoring
@@ -73,7 +73,7 @@ We offer two variants of ComeTH with different training approaches:
 - **ComeTH**: Fine-tuned on human MQM annotations (Spearman's ρ = 0.4639)
 - **ComeTH-Augmented**: Fine-tuned on human + Claude-assisted annotations (Spearman's ρ = 0.4795)
 
-Both models outperform the base COMET model (Spearman's ρ = 0.4570) on Thai-English translation evaluation. The Claude-augmented version leverages LLM-generated annotations to enhance correlation with human judgments by 4.9% over the baseline.
+Both models outperform the base COMET model (Spearman's ρ = 0.4570) on English-Thai translation evaluation. The Claude-augmented version leverages LLM-generated annotations to enhance correlation with human judgments by 4.9% over the baseline.
 
 ## Technical Specifications
 
@@ -185,7 +185,7 @@ print(systems)
 
 ```
 @misc{
-  title     = {COMETH: Thai-English Translation Quality Metrics},
+  title     = {COMETH: English-Thai Translation Quality Metrics},
   author    = {COMETH Team},
   year      = {2025},
   howpublished = {Hugging Face Model Repository},