Add evaluation results on the default config and train split of aslg_pc12

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and train split of the [aslg_pc12](https://huggingface.co./datasets/aslg_pc12) dataset by

@HamdanXI

, using the predictions stored [here](https://huggingface.co./datasets/autoevaluate/autoeval-eval-aslg_pc12-default-041a04-95805146498).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co./spaces/autoevaluate/leaderboards?dataset=aslg_pc12).\
Evaluate your model on more datasets [here](https://huggingface.co./spaces/autoevaluate/model-evaluator?dataset=aslg_pc12).

README.md

@@ -10,6 +10,7 @@ metrics:
 - comet
 - rouge
 base_model: t5-small
+pipeline_tag: translation
 model-index:
 - name: t5_small_aslg_pc12
   results:
@@ -26,21 +27,17 @@ model-index:
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       name: BLEU
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     - type: loss
       value: 0.2336091846227646
       name: loss
       verified: true
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     - type: gen_len
       value: 15.4908
       name: gen_len
       verified: true
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-pipeline_tag: translation
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 ---
 
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