Add new leaderboard

app.py

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+import gradio as gr
+import pandas as pd
+
+
+df = pd.read_table("whoops_leaderboard_full.tsv")
+headline = """# WHOOPS! Leaderboard Full
+To submit your results to the leaderboard, please add a "predictions" column to [this csv](https://huggingface.co/datasets/nlphuji/whoops/blob/main/whoops_dataset.csv), and send to [this mail](mailto:[email protected]) or [this mail](mailto:[email protected],).
+"""
+
+demo = gr.Blocks()
+with demo:
+    with gr.Row():
+        gr.Markdown(headline)
+
+    with gr.Column():
+        leaderboard_df = gr.components.DataFrame(
+            value=df,
+            datatype=["markdown", "number", "number", "number", "number", "number", "number"]
+        )
+
+demo.launch()

whoops_leaderboard_full.tsv

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+								
+Model	Image Captioning	Visual Question Answering	Image-Text Matching	Human Metric - Explanation of Violation	Auto Metric - Explanation of Violation	identify - Explanation of Violation		
+Humans				95		92		
+Ground-truth Caption _ GPT3 (Oracle)				68	62	74		
+BLIP2 FlanT5-XXL (Fine-tuned)	177	57	84	27	24	73		
+BLIP2 FlanT5-XL (Fine-tuned)	174	55	81	15	18	60		
+Predicted Caption _ GPT3				33	42	59		
+BLIP2 FlanT5-XXL (Zero-shot)	120	55	71	0	0	50		
+CLIP ViT-L/14 (Zero-shot)			70					
+OFA Large (Zero-shot)	0	38						
+CoCa ViT-L-14 MSCOCO (Zero-shot)	102		72					
+BLIP Large (Zero-shot)	65	39	77					
+BLIP2 FlanT5-XXL (Text only FT)	2	24	94					
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