Datasets:
Simon Strandgaard
commited on
Commit
•
ae3821e
1
Parent(s):
d04565e
recent bad predictions
Browse files- data.jsonl +35 -0
data.jsonl
CHANGED
@@ -13310,3 +13310,38 @@
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{"dataset":"ARC-AGI","task":"45737921","test_index":0,"predicted_output":[[0,0,0,0,0,0,0,0,0],[0,2,2,2,0,0,0,0,0],[0,2,2,2,0,0,0,0,0],[0,2,2,2,0,0,0,0,0],[0,0,0,0,0,6,6,6,0],[0,0,0,0,0,1,1,1,0],[0,0,0,0,0,1,6,6,0],[0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_205101 model=meta-llama/Llama-3.2-3B-Instruct-Turbo temperature=0.1 elapsed=11.51 response_item_count=144 response_byte_count=143"}
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{"dataset":"ARC-AGI","task":"48131b3c","test_index":0,"predicted_output":[[1,0,0,1],[0,1,0,1],[1,0,1,0],[0,1,0,1]],"metadata":"run=20241223_205101 model=meta-llama/Llama-3.2-3B-Instruct-Turbo temperature=0.1 elapsed=29.57 response_item_count=116 response_byte_count=264"}
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{"dataset":"ARC-AGI","task":"4852f2fa","test_index":0,"predicted_output":[[0,8,8,0,8,8,0,8,8],[8,8,0,8,8,0,8,8,0],[0,8,0,0,8,0,0,8,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,8,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_205101 model=meta-llama/Llama-3.2-3B-Instruct-Turbo temperature=0.1 elapsed=3.41 response_item_count=164 response_byte_count=169"}
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{"dataset":"ARC-AGI","task":"45737921","test_index":0,"predicted_output":[[0,0,0,0,0,0,0,0,0],[0,2,2,2,0,0,0,0,0],[0,2,2,2,0,0,0,0,0],[0,2,2,2,0,0,0,0,0],[0,0,0,0,0,6,6,6,0],[0,0,0,0,0,1,1,1,0],[0,0,0,0,0,1,6,6,0],[0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_205101 model=meta-llama/Llama-3.2-3B-Instruct-Turbo temperature=0.1 elapsed=11.51 response_item_count=144 response_byte_count=143"}
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{"dataset":"ARC-AGI","task":"48131b3c","test_index":0,"predicted_output":[[1,0,0,1],[0,1,0,1],[1,0,1,0],[0,1,0,1]],"metadata":"run=20241223_205101 model=meta-llama/Llama-3.2-3B-Instruct-Turbo temperature=0.1 elapsed=29.57 response_item_count=116 response_byte_count=264"}
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{"dataset":"ARC-AGI","task":"4852f2fa","test_index":0,"predicted_output":[[0,8,8,0,8,8,0,8,8],[8,8,0,8,8,0,8,8,0],[0,8,0,0,8,0,0,8,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,8,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_205101 model=meta-llama/Llama-3.2-3B-Instruct-Turbo temperature=0.1 elapsed=3.41 response_item_count=164 response_byte_count=169"}
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{"dataset":"ARC-AGI","task":"03560426","test_index":0,"predicted_output":[[7,0,0,0,0,0,0,0,0,0],[7,0,8,8,0,6,0,0,0,0],[7,0,8,8,0,6,0,3,3,0],[7,0,8,8,0,6,0,3,3,0],[7,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=6.69 response_item_count=175 response_byte_count=371"}
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{"dataset":"ARC-AGI","task":"0692e18c","test_index":0,"predicted_output":[[0,0,0,3,0,3,0,0,0],[3,3,0,3,3,0,0,0,0],[0,3,0,3,3,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,3,0,3,3,0,0,0,0],[3,3,0,3,3,0,0,0,0],[0,0,0,3,0,3,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=5.24 response_item_count=204 response_byte_count=482"}
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{"dataset":"ARC-AGI","task":"0becf7df","test_index":0,"predicted_output":[[8,9,0,0,0,0,0,0,0,0],[2,4,0,0,0,7,7,0,0,0],[0,0,0,8,8,8,7,0,0,0],[0,0,0,2,8,8,7,0,0,0],[0,0,0,2,3,2,0,0,0,0],[0,0,0,2,2,3,0,0,0,0],[0,0,0,2,3,3,0,0,0,0],[0,0,0,7,3,3,0,0,0,0],[0,0,0,0,0,3,0,0,0,0],[0,0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=7.61 response_item_count=223 response_byte_count=307"}
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{"dataset":"ARC-AGI","task":"0c9aba6e","test_index":0,"predicted_output":[[0,0,0,2],[0,3,3,0],[2,0,0,3],[0,3,3,0],[2,0,3,3],[0,0,0,3],[8,8,8,8],[7,7,1,7],[7,7,6,1],[0,0,0,0],[7,7,1,7],[7,1,7,1],[0,0,7,7]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=4.36 response_item_count=145 response_byte_count=266"}
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{"dataset":"ARC-AGI","task":"11e1fe23","test_index":0,"predicted_output":[[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,3,0,0,0,8,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,9,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=10.00 response_item_count=339 response_byte_count=453"}
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{"dataset":"ARC-AGI","task":"12422b43","test_index":0,"predicted_output":[[5,0,4,4,4,0,0],[5,5,8,8,0,0,0],[5,5,6,6,0,0,0],[0,5,2,2,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=6.57 response_item_count=197 response_byte_count=418"}
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{"dataset":"ARC-AGI","task":"12997ef3","test_index":0,"predicted_output":[[0,1,1,0,8,3,6,0,0,0,0],[1,1,0,0,8,0,0,0,0,0,0],[1,1,0,0,8,0,0,0,0,0,0],[0,0,0,0,8,3,6,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0],[0,0,2,0,8,0,3,0,6,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=6.46 response_item_count=170 response_byte_count=316"}
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{"dataset":"ARC-AGI","task":"12997ef3","test_index":1,"predicted_output":[[7,1,1,1,0,0,0,0,0,0,0],[1,1,1,0,3,0,0,0,0,0,0],[7,1,0,0,0,0,0,0,0,0,0],[0,6,0,0,0,0,0,0,0,0,0],[0,0,0,0,3,0,0,0,0,0,0],[0,0,0,0,2,0,0,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=4.14 response_item_count=170 response_byte_count=316"}
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{"dataset":"ARC-AGI","task":"12eac192","test_index":0,"predicted_output":[[0,3,0,1,3,3,0,5],[1,2,0,0,0,2,0,0],[0,2,2,0,0,0,0,5],[1,2,0,3,0,1,0,0],[0,1,0,3,3,3,0,1],[0,2,0,0,2,0,0,7],[1,0,1,0,0,0,1,7],[0,0,1,2,0,1,0,7]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=4.70 response_item_count=150 response_byte_count=229"}
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{"dataset":"ARC-AGI","task":"137f0df0","test_index":0,"predicted_output":[[0,5,5,0,0,5,5,0,5,5],[5,5,0,0,0,5,5,0,5,5],[1,2,2,0,0,2,2,0,2,2],[0,5,5,0,0,5,5,0,5,5],[5,5,0,0,0,5,5,0,5,5],[1,2,2,0,0,2,2,0,2,2],[0,5,5,0,0,5,5,0,5,5],[5,5,0,0,0,5,5,0,5,5],[1,2,2,0,0,2,2,0,2,2]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=8.21 response_item_count=250 response_byte_count=465"}
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{"dataset":"ARC-AGI","task":"17cae0c1","test_index":0,"predicted_output":[[4,4,4,4,4,6,6,6,6],[4,4,4,4,7,1,1,1,1],[6,6,6,6,1,1,1,1,1]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=3.82 response_item_count=142 response_byte_count=256"}
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{"dataset":"ARC-AGI","task":"195ba7dc","test_index":0,"predicted_output":[[1,1,1,0,0,0,1],[1,0,0,1,1,1,255],[1,1,1,0,0,1,255],[1,1,1,0,0,0,255],[1,1,1,1,1,1,255]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=4.29 response_item_count=123 response_byte_count=298"}
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{"dataset":"ARC-AGI","task":"1c0d0a4b","test_index":0,"predicted_output":[[0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,1,0,0,1,0,1,0,0,1,0,0],[0,0,1,0,0,1,2,2,0,0,1,2,0],[0,0,1,0,0,1,0,0,0,1,0,1,0],[0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,1,0,0,1,0,0,0,1,2,2,0],[0,0,2,0,0,1,2,0,0,1,2,1,0],[0,1,0,2,0,1,0,0,0,0,1,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0],[0,1,2,2,0,1,0,1,0,0,0,1,0],[0,1,0,0,0,1,2,0,0,1,2,2,0],[0,0,1,0,0,0,1,2,0,1,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=11.34 response_item_count=389 response_byte_count=557"}
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{"dataset":"ARC-AGI","task":"2072aba6","test_index":0,"predicted_output":[[0,0,0],[0,2,0],[3,4,5]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=2.21 response_item_count=82 response_byte_count=278"}
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{"dataset":"ARC-AGI","task":"22a4bbc2","test_index":0,"predicted_output":[[8,8,8,0],[0,1,1,1],[0,8,8,0],[1,1,1,1],[8,8,8,0],[8,8,8,0],[0,1,1,1],[0,8,8,0],[0,8,8,0],[1,1,1,1],[1,1,1,1],[8,8,8,8],[2,2,0,0],[0,8,8,8],[1,1,1,0],[8,8,8,8],[0,1,1,0],[0,1,1,0],[8,8,8,8],[8,8,8,8],[0,1,1,1],[0,1,1,1]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=7.51 response_item_count=225 response_byte_count=390"}
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{"dataset":"ARC-AGI","task":"281123b4","test_index":0,"predicted_output":[[9,9,9,4],[9,9,8,9],[8,4,8,9],[9,8,8,9]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=5.96 response_item_count=160 response_byte_count=385"}
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{"dataset":"ARC-AGI","task":"292dd178","test_index":0,"predicted_output":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,2,2,2,2,4,4,4],[4,1,4,1,3,4,4,4,1,4,4,4,4,4,4],[4,1,4,4,1,4,4,4,1,4,4,1,4,4,4],[4,1,4,4,1,4,4,4,1,2,2,1,4,4,4],[4,1,2,2,1,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,2,2,2,2,4,4,4,4],[4,4,4,4,4,4,4,1,4,4,1,4,4,4,4],[4,4,4,4,4,4,4,1,4,4,1,4,4,4,4],[4,4,4,4,4,4,4,1,4,2,2,4,4,4,4],[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=10.71 response_item_count=359 response_byte_count=449"}
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{"dataset":"ARC-AGI","task":"2a5f8217","test_index":0,"predicted_output":[[0,0,0,0,0,0,8,8,0,0,0,0,0],[0,0,8,0,0,8,8,8,0,1,1,0,0],[0,8,8,8,0,0,8,0,1,1,1,0,0],[0,0,0,0,0,0,0,0,0,1,0,0,0],[0,0,0,0,0,0,1,0,0,0,0,0,0],[0,4,4,0,0,1,1,1,0,0,0,0,0],[0,4,4,0,0,0,1,0,0,0,0,2,0],[0,0,4,0,0,0,0,0,0,0,2,2,2],[0,0,0,0,0,0,1,0,0,0,0,0,0],[0,0,0,0,0,1,1,0,0,0,0,6,0],[0,0,1,0,0,0,1,0,0,0,6,6,6],[8,0,1,0,0,0,0,0,0,0,0,6,0],[8,0,0,0,0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=11.15 response_item_count=395 response_byte_count=593"}
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{"dataset":"ARC-AGI","task":"2c737e39","test_index":0,"predicted_output":[[0,0,0,0,0,0,5,0,0,0],[0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,5],[0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0],[0,0,0,5,0,0,0,0,0,0],[0,2,3,3,3,8,8,0,0,0],[0,1,3,3,8,8,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=8.46 response_item_count=233 response_byte_count=354"}
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{"dataset":"ARC-AGI","task":"310f3251","test_index":0,"predicted_output":[[0,2,0,0,0,2,0,0,0,2,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[4,0,0,0,4,0,0,0,4,0,0,0],[2,0,0,0,2,0,0,0,2,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[4,0,0,0,4,0,0,0,4,0,0,0],[2,0,0,0,2,0,0,0,2,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[4,0,0,0,4,0,0,0,4,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=10.21 response_item_count=376 response_byte_count=585"}
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{"dataset":"ARC-AGI","task":"310f3251_v2","test_index":0,"predicted_output":[[2,0,2,0],[0,4,0,4],[2,0,2,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=1.80 response_item_count=78 response_byte_count=212"}
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{"dataset":"ARC-AGI","task":"310f3251_v3","test_index":0,"predicted_output":[[0,2,0,0],[0,0,4,0],[2,0,0,0],[0,4,0,0],[0,2,0,0],[0,0,4,0],[2,0,0,0],[0,4,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=3.37 response_item_count=116 response_byte_count=314"}
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{"dataset":"ARC-AGI","task":"31d5ba1a","test_index":1,"predicted_output":[[0,0,0,0,0],[6,0,0,0,0],[0,0,0,0,0],[4,0,4,4,4],[0,4,4,0,4],[4,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=2.48 response_item_count=117 response_byte_count=265"}
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{"dataset":"ARC-AGI","task":"32e9702f","test_index":0,"predicted_output":[[5,5,5,7,7,7,7,0,0,0],[0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,7,7,0,0],[0,0,0,0,0,0,0,0,0,0],[7,7,7,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0],[7,7,7,7,7,7,5,5,5,5],[0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=6.37 response_item_count=248 response_byte_count=409"}
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{"dataset":"ARC-AGI","task":"332efdb3","test_index":0,"predicted_output":[[1,1,1,1,1,1,1,1,1,1,1],[1,0,1,0,1,0,1,0,1,0,1],[1,1,1,1,1,1,1,1,1,1,1],[1,0,1,0,1,0,1,0,1,0,1],[1,1,1,1,1,1,1,1,1,1,1],[1,0,1,0,1,0,1,0,1,0,1],[1,1,1,1,1,1,1,1,1,1,1],[1,0,1,0,1,0,1,0,1,0,1],[1,1,1,1,1,1,1,1,1,1,1]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=6.40 response_item_count=230 response_byte_count=336"}
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{"dataset":"ARC-AGI","task":"34b99a2b","test_index":0,"predicted_output":[[1,2,1,0,2,0,0,0,0],[1,2,2,2,2,0,0,0,2],[2,2,2,2,2,0,2,2,2],[2,2,2,2,2,2,2,2,2],[1,1,2,2,2,0,2,2,0]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=3.79 response_item_count=127 response_byte_count=245"}
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{"dataset":"ARC-AGI","task":"351d6448","test_index":0,"predicted_output":[[0,0,2,0,0,0,2,0,0,0,2,0,0],[3,2,2,0,2,2,2,2,0,2,2,2,0],[3,3,2,2,2,2,2,2,2,2,2,2,2]],"metadata":"run=20241223_214016 model=llama3.1:latest temperature=0.0 elapsed=4.97 response_item_count=110 response_byte_count=228"}
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