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Update README.md

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  1. README.md +20 -15
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@@ -14,38 +14,43 @@ license: apache-2.0
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  `pred_test.json` contains top-10 predictions on the validation set of the dataset
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  ## Evaluation Scores on validation set
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- TOP 10 SCORES FOR 1000 SAMPLES:
 
 
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  |Metrics | Score |
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- |-----------|:-----------:|
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- |ACC: | 0.703000|
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- |Mean F-score:| 0.949289|
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- |MRR: | 0.486549|
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- |MAP_ref: | 0.381000|
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  TOP 5 SCORES FOR 1000 SAMPLES:
 
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  |Metrics | Score |
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- |-----------|:-----------:|
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- |ACC: |0.621000|
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- |Mean F-score: |0.937985|
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- |MRR: |0.475033|
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- |MAP_ref: |0.381000|
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  TOP 3 SCORES FOR 1000 SAMPLES:
 
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  |Metrics | Score |
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- |-----------|:-----------:|
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  |ACC: |0.560000|
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  |Mean F-score: |0.927025|
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  |MRR: |0.461333|
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- |MAP_ref: |0.381000|
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  TOP 2 SCORES FOR 1000 SAMPLES:
 
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  |Metrics | Score |
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  |-----------|:-----------:|
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  |ACC: | 0.502000|
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  |Mean F-score: | 0.913697|
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  |MRR: | 0.442000|
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- |MAP_ref: | 0.381000|
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  TOP 1 SCORES FOR 1000 SAMPLES:
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  |Metrics | Score |
@@ -53,4 +58,4 @@ TOP 1 SCORES FOR 1000 SAMPLES:
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  |ACC: | 0.382000|
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  |Mean F-score: | 0.881272|
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  |MRR: | 0.382000|
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- |MAP_ref: | 0.380500|
 
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  `pred_test.json` contains top-10 predictions on the validation set of the dataset
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  ## Evaluation Scores on validation set
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+
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+ TOP 10 SCORES FOR 1000 SAMPLES
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+
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  |Metrics | Score |
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+ |-----------|-----------|
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+ |ACC | 0.703000|
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+ |Mean F-score| 0.949289|
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+ |MRR | 0.486549|
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+ |MAP-ref | 0.381000|
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  TOP 5 SCORES FOR 1000 SAMPLES:
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+
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  |Metrics | Score |
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+ |-----------|-----------|
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+ |ACC |0.621000|
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+ |Mean F-score |0.937985|
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+ |MRR |0.475033|
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+ |MAP-ref |0.381000|
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  TOP 3 SCORES FOR 1000 SAMPLES:
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+
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  |Metrics | Score |
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+ |-----------|-----------|
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  |ACC: |0.560000|
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  |Mean F-score: |0.927025|
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  |MRR: |0.461333|
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+ |MAP-ref: |0.381000|
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  TOP 2 SCORES FOR 1000 SAMPLES:
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+
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  |Metrics | Score |
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  |-----------|:-----------:|
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  |ACC: | 0.502000|
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  |Mean F-score: | 0.913697|
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  |MRR: | 0.442000|
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+ |MAP-ref: | 0.381000|
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  TOP 1 SCORES FOR 1000 SAMPLES:
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  |Metrics | Score |
 
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  |ACC: | 0.382000|
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  |Mean F-score: | 0.881272|
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  |MRR: | 0.382000|
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+ |MAP-ref: | 0.380500|