Update README.md

README.md

@@ -186,20 +186,6 @@ Evaluated with [MIRACL-ja](https://huggingface.co/datasets/miracl/miracl), [JQAR
 |[cl-nagoya/ruri-base](https://huggingface.co/cl-nagoya/ruri-base) | 0.1B | 74.3 | 58.1 | 84.6 | **35.3** |
 |[pkshatech/GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja) | 0.1B | 53.3 | 30.8 | 68.6 | 25.2 |
 |**GLuCoSE v2**| 0.1B | **85.5** | **60.6** | **85.3** | 33.8 |
-Note: Results for OpenAI small embeddings in JQARA and JaCWIR are quoted from the [JQARA](https://huggingface.co/datasets/hotchpotch/JQaRA) and [JaCWIR](https://huggingface.co/datasets/hotchpotch/JCWIR).
-
-| Model | Size | MIRACL<br>Recall@5 | JQaRA<br>nDCG@10 | JaCWIR<br>MAP@10 | MLDR<br>nDCG@10 |
-|:--|:--|:--|:--|:--|:---|
-|OpenAI/text-embedding-3-small|-|processing...|38.8|81.6|processing...|
-|OpenAI/text-embedding-3-large|-|processing...|processing...|processing...|processing...|
-||||||||||
-|[intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 0.6B | **89.2** | 55.4 | **87.6** | 29.8 |
-|[cl-nagoya/ruri-large](https://huggingface.co/cl-nagoya/ruri-large) | 0.3B | 78.7 | 62.4 | 85.0 | **37.5** |
-||||||||||
-|[intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) | 0.3B | 84.2| 47.2 | **85.3** | 25.4 |
-|[cl-nagoya/ruri-base](https://huggingface.co/cl-nagoya/ruri-base) | 0.1B | 74.3 | 58.1 | 84.6 | **35.3** |
-|[pkshatech/GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja) | 0.1B | 53.3 | 30.8 | 68.6 | 25.2 |
-|**GLuCoSE v2**| 0.1B | **85.5** | **60.6** | **85.3** | 33.8 |
 
 Note: Results for OpenAI small embeddings in JQARA and JaCWIR are quoted from the [JQARA](https://huggingface.co/datasets/hotchpotch/JQaRA) and [JaCWIR](https://huggingface.co/datasets/hotchpotch/JCWIR).
 
@@ -219,6 +205,7 @@ Evaluated with [JMTEB](https://github.com/sbintuitions/JMTEB).
 |[cl-nagoya/ruri-base](https://huggingface.co/cl-nagoya/ruri-base) |0.1B|71.91|69.82|82.87|75.58|92.91|**54.16**|62.38|
 |[pkshatech/GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja)|0.1B|70.44|59.02|78.71|**76.82**|91.90|49.78|**66.39**|
 |**GLuCoSE v2**|0.1B|**72.22**|**73.36**|**82.96**|74.21|93.01|48.65|62.37|
+
 Note: Results for OpenAI embeddings and multilingual-e5 models are quoted from the [JMTEB leaderboard](https://github.com/sbintuitions/JMTEB/blob/main/leaderboard.md). Results for ruri are quoted from the [cl-nagoya/ruri-base model card](https://huggingface.co/cl-nagoya/ruri-base/blob/main/README.md).
 
 ## Authors