Add eval config

eval.yaml

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+name: KorSarcasmClassification
+description: 'The Korean Sarcasm Dataset was created to detect sarcasm in text, which
+  can significantly alter the original meaning of a sentence. 9319 tweets were collected
+  from Twitter and labeled for sarcasm or not_sarcasm. These tweets were gathered
+  by querying for: irony sarcastic, and sarcasm. The dataset was created by gathering
+  HTML data from Twitter. Queries for hashtags that include sarcasm and variants of
+  it were used to return tweets. It was preprocessed by removing the keyword hashtag,
+  urls and mentions of the user to preserve anonymity.'
+evaluation_framework: mteb
+tasks:
+- id: KorSarcasmClassification
+- id: KorSarcasmClassification_default_train
+  config: default
+  split: train