Update constants.py with Sign Lang Recognition (SEACrowd#315)

seacrowd/utils/constants.py

@@ -43,7 +43,6 @@ class Tasks(Enum):
     WORD_ANALOGY = "WA"
     WORD_SENSE_DISAMBIGUATION = "WSD"
     COREFERENCE_RESOLUTION = "COREF"
-    SPAN_BASED_ABSA = "SPAN_ABSA"
 
     # Tree
     CONSTITUENCY_PARSING = "CONST_PAR"
@@ -116,6 +115,7 @@ class Tasks(Enum):
 
     # ImageText
     IMAGE_CAPTIONING = "IC"
+    SIGN_LANGUAGE_RECOGNITION = "SLR"
     STYLIZED_IMAGE_CAPTIONING = "SIC"
     VISUALLY_GROUNDED_REASONING = "VGR"
 
@@ -211,21 +211,23 @@ class Licenses(Enum):
 
 
 TASK_TO_SCHEMA = {
+    Tasks.COREFERENCE_RESOLUTION: "KB",
     Tasks.DEPENDENCY_PARSING: "KB",
     Tasks.CONSTITUENCY_PARSING: "TREE",
+    Tasks.E2E_TASK_ORIENTED_DIALOGUE: "TOD",
     Tasks.WORD_SENSE_DISAMBIGUATION: "T2T",
     Tasks.WORD_ANALOGY: "T2T",
     Tasks.KEYWORD_EXTRACTION: "SEQ_LABEL",
-    Tasks.COREFERENCE_RESOLUTION: "KB",
     Tasks.DIALOGUE_SYSTEM: "T2T",
-    Tasks.E2E_TASK_ORIENTED_DIALOGUE: "TOD",
     Tasks.KEYWORD_TAGGING: "SEQ_LABEL",
     Tasks.NAMED_ENTITY_RECOGNITION: "SEQ_LABEL",
     Tasks.POS_TAGGING: "SEQ_LABEL",
     Tasks.SENTENCE_ORDERING: "SEQ_LABEL",
+    Tasks.SPAN_BASED_ABSA: "SEQ_LABEL",
     Tasks.TOKEN_LEVEL_LANGUAGE_IDENTIFICATION: "SEQ_LABEL",
     Tasks.COMMONSENSE_REASONING: "QA",
     Tasks.QUESTION_ANSWERING: "QA",
+    Tasks.CONCEPT_ALIGNMENT_CLASSIFICATION: "PAIRS",
     Tasks.NEXT_SENTENCE_PREDICTION: "PAIRS",
     Tasks.TEXT_RETRIEVAL: "PAIRS",
     Tasks.TEXTUAL_ENTAILMENT: "PAIRS",
@@ -238,13 +240,14 @@ class Licenses(Enum):
     Tasks.MULTILEXNORM: "T2T",
     Tasks.SUMMARIZATION: "T2T",
     Tasks.TRANSLITERATION: "T2T",
-    Tasks.DOMAIN_KNOWLEDGE_MULTICLASSIFICATION: "TEXT_MULTI",
     Tasks.ASPECT_BASED_SENTIMENT_ANALYSIS: "TEXT_MULTI",
+    Tasks.DOMAIN_KNOWLEDGE_MULTICLASSIFICATION: "TEXT_MULTI",
     Tasks.ABUSIVE_LANGUAGE_PREDICTION: "TEXT",
     Tasks.DOMAIN_KNOWLEDGE_CLASSIFICATION: "TEXT",
     Tasks.SENTIMENT_ANALYSIS: "TEXT",
     Tasks.TAX_COURT_VERDICT: "TEXT",
     Tasks.EMOTION_CLASSIFICATION: "TEXT",
+    Tasks.HOAX_NEWS_CLASSIFICATION: "TEXT",
     Tasks.LANGUAGE_IDENTIFICATION: "TEXT",
     Tasks.LEGAL_CLASSIFICATION: "TEXT",
     Tasks.INTENT_CLASSIFICATION: "TEXT",
@@ -261,14 +264,11 @@ class Licenses(Enum):
     Tasks.SPEECH_EMOTION_RECOGNITION: "SPEECH",
     Tasks.SPEECH_EMOTION_RECOGNITION_MULTILABEL: "SPEECH_MULTI",
     Tasks.IMAGE_CAPTIONING: "IMTEXT",
+    Tasks.SIGN_LANGUAGE_RECOGNITION: "IMTEXT",
     Tasks.STYLIZED_IMAGE_CAPTIONING: "IMTEXT",
     Tasks.VISUALLY_GROUNDED_REASONING: "IMTEXT",
-    Tasks.HOAX_NEWS_CLASSIFICATION: "TEXT",
-    Tasks.CONCEPT_ALIGNMENT_CLASSIFICATION: "PAIRS",
-    Tasks.SPAN_BASED_ABSA: "SEQ_LABEL",
     Tasks.VIDEO_CAPTIONING: "VIDTEXT",
     Tasks.VIDEO_TO_TEXT_RETRIEVAL: "VIDTEXT",
-    Tasks.CONCEPT_ALIGNMENT_CLASSIFICATION: "PAIRS",
     Tasks.FACT_CHECKING: None,
 }