nitzanguetta
commited on
Commit
•
969a984
1
Parent(s):
46b2dc4
Add new leaderboard
Browse files- .DS_Store +0 -0
- WHOOPS-Leaderboard-Full.tsv +12 -0
- app.py +1 -1
- whoops_leaderboard_full.tsv +0 -31
.DS_Store
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Binary file (6.15 kB). View file
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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
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Humans 95 92
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Ground-truth Caption _ GPT3 (Oracle) 68 62 74
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BLIP2 FlanT5-XXL (Fine-tuned) 177 57 84 27 24 73
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BLIP2 FlanT5-XL (Fine-tuned) 174 55 81 15 18 60
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Predicted Caption _ GPT3 33 42 59
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BLIP2 FlanT5-XXL (Zero-shot) 120 55 71 0 0 50
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CLIP ViT-L/14 (Zero-shot) 70
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OFA Large (Zero-shot) 0 38
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CoCa ViT-L-14 MSCOCO (Zero-shot) 102 72
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BLIP Large (Zero-shot) 65 39 77
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BLIP2 FlanT5-XXL (Text only FT) 2 24 94
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app.py
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import pandas as pd
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df = pd.read_table("
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headline = """# WHOOPS! Leaderboard Full
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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],).
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"""
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import pandas as pd
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df = pd.read_table("wWHOOPS-Leaderboard-Full.tsv")
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headline = """# WHOOPS! Leaderboard Full
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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],).
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"""
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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
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Humans 95 92
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-
Ground-truth Caption _ GPT3 (Oracle) 68 62 74
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BLIP2 FlanT5-XXL (Fine-tuned) 177 57 84 27 24 73
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BLIP2 FlanT5-XL (Fine-tuned) 174 55 81 15 18 60
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Predicted Caption _ GPT3 33 42 59
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BLIP2 FlanT5-XXL (Zero-shot) 120 55 71 0 0 50
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CLIP ViT-L/14 (Zero-shot) 70
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OFA Large (Zero-shot) 0 38
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CoCa ViT-L-14 MSCOCO (Zero-shot) 102 72
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BLIP Large (Zero-shot) 65 39 77
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BLIP2 FlanT5-XXL (Text only FT) 2 24 94
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