remove tag

app.py

@@ -22,17 +22,14 @@ The evaluation is conducted on 8 datasets across 4 tasks:
 - TyDiQA (Thai only), contains 763 test samples, https://huggingface.co/datasets/chompk/tydiqa-goldp-th
 ## Metrics
 The evaluation metrics for each task are as follows:
-1. STS -> Spearman correlation
-2. Text Classification -> F1
-3. Pair Classification -> Average Precision
-3. Retrieval -> MMR@10
-## Tagging
-🟢 Open sourced 📦 API
+1. STS: Spearman’s rank correlation
+2. Text Classification: F1
+3. Pair Classification: Average Precision
+3. Retrieval: MMR@10
 """
 
 results = [
     {
-        'Type': '🟢',
         'Model Name': '[XLMR-base](https://huggingface.co/FacebookAI/xlm-roberta-base)',
         'Model Size (Million Parameters)': 279,
         'Embedding Dimensions': 768,
@@ -43,7 +40,6 @@ results = [
         'Retrieval (3 datasets)': 5.57,
     },
     {
-        'Type': '🟢',
         'Model Name': '[XLMR-large](https://huggingface.co/FacebookAI/xlm-roberta-large)',
         'Model Size (Million Parameters)': 561,
         'Embedding Dimensions': 1024,
@@ -54,7 +50,6 @@ results = [
         'Retrieval (3 datasets)': 11.80,
     },
     {
-        'Type': '🟢',
         'Model Name': '[WangchanBERTa](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased)',
         'Model Size (Million Parameters)': 106,
         'Embedding Dimensions': 768,
@@ -65,7 +60,6 @@ results = [
         'Retrieval (3 datasets)': 19.49,
     },
     {
-        'Type': '🟢',
         'Model Name': '[PhayaThaiBERT](https://huggingface.co/clicknext/phayathaibert)',
         'Model Size (Million Parameters)': 278,
         'Embedding Dimensions': 768,
@@ -76,7 +70,6 @@ results = [
         'Retrieval (3 datasets)': 56.31,
     },
     {
-        'Type': '🟢',
         'Model Name': '[MPNet-multilingual](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2)',
         'Model Size (Million Parameters)': 278,
         'Embedding Dimensions': 768,
@@ -87,7 +80,6 @@ results = [
         'Retrieval (3 datasets)': 64.13,
     },
     {
-        'Type': '🟢',
         'Model Name': '[DistilUSE-multilingual](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2)',
         'Model Size (Million Parameters)': 135,
         'Embedding Dimensions': 512,
@@ -98,7 +90,6 @@ results = [
         'Retrieval (3 datasets)': 42.72,
     },
     {
-        'Type': '🟢',
         'Model Name': '[BGE-M3](https://huggingface.co/BAAI/bge-m3)',
         'Model Size (Million Parameters)': 570,
         'Embedding Dimensions': 1024,
@@ -109,7 +100,6 @@ results = [
         'Retrieval (3 datasets)': 91.42,
     },
     {
-        'Type': '🟢',
         'Model Name': '[SimCSE-XLMR-base](https://huggingface.co/kornwtp/simcse-model-XLMR)',
         'Model Size (Million Parameters)': 279,
         'Embedding Dimensions': 768,
@@ -120,7 +110,6 @@ results = [
         'Retrieval (3 datasets)': 54.17,
     },
     {
-        'Type': '🟢',
         'Model Name': '[SimCSE-WangchanBERTa](https://huggingface.co/kornwtp/simcse-model-wangchanberta)',
         'Model Size (Million Parameters)': 106,
         'Embedding Dimensions': 768,
@@ -131,7 +120,6 @@ results = [
         'Retrieval (3 datasets)': 51.05,
     },
     {
-        'Type': '🟢',
         'Model Name': '[SimCSE-PhayaThaiBERT](https://huggingface.co/kornwtp/simcse-model-phayathaibert)',
         'Model Size (Million Parameters)': 278,
         'Embedding Dimensions': 768,
@@ -142,7 +130,6 @@ results = [
         'Retrieval (3 datasets)': 66.05,
     },
     {
-        'Type': '🟢',
         'Model Name': '[SCT-XLMR-base](https://huggingface.co/kornwtp/SCT-model-XLMR)',
         'Model Size (Million Parameters)': 279,
         'Embedding Dimensions': 768,
@@ -153,7 +140,6 @@ results = [
         'Retrieval (3 datasets)': 54.90,
     },
     {
-        'Type': '🟢',
         'Model Name': '[SCT-WangchanBERTa](https://huggingface.co/kornwtp/SCT-model-wangchanberta)',
         'Model Size (Million Parameters)': 106,
         'Embedding Dimensions': 768,
@@ -164,7 +150,6 @@ results = [
         'Retrieval (3 datasets)': 63.83,
     },
     {
-        'Type': '🟢',
         'Model Name': '[SCT-PhayaThaiBERT](https://huggingface.co/kornwtp/SCT-model-phayathaibert)',
         'Model Size (Million Parameters)': 278,
         'Embedding Dimensions': 768,
@@ -175,7 +160,6 @@ results = [
         'Retrieval (3 datasets)': 66.20,
     },
     {
-        'Type': '🟢',
         'Model Name': '[SCT-KD-XLMR-base](https://huggingface.co/kornwtp/SCT-KD-model-XLMR)',
         'Model Size (Million Parameters)': 279,
         'Embedding Dimensions': 768,
@@ -186,7 +170,6 @@ results = [
         'Retrieval (3 datasets)': 65.02,
     },
     {
-        'Type': '🟢',
         'Model Name': '[SCT-KD-WangchanBERTa](https://huggingface.co/kornwtp/SCT-KD-model-wangchanberta)',
         'Model Size (Million Parameters)': 106,
         'Embedding Dimensions': 768,
@@ -197,7 +180,6 @@ results = [
         'Retrieval (3 datasets)': 62.38,
     },
     {
-        'Type': '🟢',
         'Model Name': '[SCT-KD-PhayaThaiBERT](https://huggingface.co/kornwtp/SCT-KD-model-phayathaibert)',
         'Model Size (Million Parameters)': 278,
         'Embedding Dimensions': 768,
@@ -208,7 +190,6 @@ results = [
         'Retrieval (3 datasets)': 67.94,
     },
     {
-        'Type': '🟢',
         'Model Name': '[ConGen-XLMR-base](https://huggingface.co/kornwtp/ConGen-model-XLMR)',
         'Model Size (Million Parameters)': 279,
         'Embedding Dimensions': 768,
@@ -219,7 +200,6 @@ results = [
         'Retrieval (3 datasets)': 68.03,
     },
     {
-        'Type': '🟢',
         'Model Name': '[ConGen-WangchanBERTa](https://huggingface.co/kornwtp/ConGen-model-wangchanberta)',
         'Model Size (Million Parameters)': 106,
         'Embedding Dimensions': 768,
@@ -230,7 +210,6 @@ results = [
         'Retrieval (3 datasets)': 67.66,
     },
     {
-        'Type': '🟢',
         'Model Name': '[ConGen-PhayaThaiBERT](https://huggingface.co/kornwtp/ConGen-model-phayathaibert)',
         'Model Size (Million Parameters)': 278,
         'Embedding Dimensions': 768,
@@ -241,7 +220,6 @@ results = [
         'Retrieval (3 datasets)': 68.04,
     },
     {
-        'Type': '🟢',
         'Model Name': '[E5-Mistral-7B-Instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct)',
         'Model Size (Million Parameters)': 7110,
         'Embedding Dimensions': 4096,
@@ -252,7 +230,6 @@ results = [
         'Retrieval (3 datasets)': 86.80,
     },
     {
-        'Type': '🟢',
         'Model Name': '[gte-Qwen2-7B-Instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct)',
         'Model Size (Million Parameters)': 7610,
         'Embedding Dimensions': 3584,
@@ -263,7 +240,6 @@ results = [
         'Retrieval (3 datasets)': 38.31,
     },
     {
-        'Type': '🟢',
         'Model Name': '[GritLM-7B](https://huggingface.co/GritLM/GritLM-7B)',
         'Model Size (Million Parameters)': 7240,
         'Embedding Dimensions': 4096,
@@ -274,7 +250,7 @@ results = [
         'Retrieval (3 datasets)': 22.79,
     },
     {
-        'Type': '🟢',
+
         'Model Name': '[Llama3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)',
         'Model Size (Million Parameters)': 8030,
         'Embedding Dimensions': 4096,
@@ -285,7 +261,6 @@ results = [
         'Retrieval (3 datasets)': 47.93,
     },
     {
-        'Type': '🟢',
         'Model Name': '[Llama3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)',
         'Model Size (Million Parameters)': 8030,
         'Embedding Dimensions': 4096,
@@ -296,7 +271,6 @@ results = [
         'Retrieval (3 datasets)': 50.38,
     },
     {
-        'Type': '🟢',
         'Model Name': '[Llama3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B)',
         'Model Size (Million Parameters)': 8030,
         'Embedding Dimensions': 4096,
@@ -307,7 +281,6 @@ results = [
         'Retrieval (3 datasets)': 43.64,
     },
     {
-        'Type': '🟢',
         'Model Name': '[Llama3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)',
         'Model Size (Million Parameters)': 8030,
         'Embedding Dimensions': 4096,
@@ -318,7 +291,6 @@ results = [
         'Retrieval (3 datasets)': 43.63,
     },
     {
-        'Type': '🟢',
         'Model Name': '[Typhoon-8B-Instruct](https://huggingface.co/scb10x/llama-3-typhoon-v1.5-8b-instruct)',
         'Model Size (Million Parameters)': 8030,
         'Embedding Dimensions': 4096,
@@ -329,7 +301,6 @@ results = [
         'Retrieval (3 datasets)': 52.65,
     },
     {
-        'Type': '📦',
         'Model Name': 'Cohere-embed-multilingual-v2.0',
         'Model Size (Million Parameters)': "N/A",
         'Embedding Dimensions': 768,
@@ -340,7 +311,6 @@ results = [
         'Retrieval (3 datasets)': 85.23,
     },
     {
-        'Type': '📦',
         'Model Name': 'Cohere-embed-multilingual-v3.0',
         'Model Size (Million Parameters)': "N/A",
         'Embedding Dimensions': 1024,
@@ -351,7 +321,6 @@ results = [
         'Retrieval (3 datasets)': 91.43,
     },
     {
-        'Type': '📦',
         'Model Name': 'Openai-text-embedding-3-large',
         'Model Size (Million Parameters)': "N/A",
         'Embedding Dimensions': 3072,