MEDIQA 2021 - Radiology Report Summarization (RRS)
ACL-BioNLP Shared Task
ID | Participant | Status ▲ | Score | R1-P | R1-R | R1-F1 | R2-P | R2-R | R2-F1 | RL-R | RL-F1 | Message | Submission | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
125089 | ChicHealth | failed | 0.000 | - | - | - | - | - | - | - | - |
“ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat” |
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125033 | jeanbenoit_delbrouck | failed | 0.000 | - | - | - | - | - | - | - | - |
“ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat” |
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View |
124741 | aesperan | failed | 0.000 | - | - | - | - | - | - | - | - |
“ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat” |
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View |
124705 | aesperan | failed | 0.000 | - | - | - | - | - | - | - | - |
“ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat” |
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View |
124739 | aesperan | failed | 0.000 | - | - | - | - | - | - | - | - |
“ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat” |
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View |
124725 | aesperan | failed | 0.000 | - | - | - | - | - | - | - | - |
“ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat” |
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View |
124709 | aesperan | failed | 0.000 | - | - | - | - | - | - | - | - |
“child ‘submission-r6f99-3335680249’ failed” |
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124701 | aesperan | failed | 0.000 | - | - | - | - | - | - | - | - |
“ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat” |
|
View |
124738 | aesperan | failed | 0.000 | - | - | - | - | - | - | - | - |
“ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat” |
|
View |
124747 | aesperan | failed | 0.000 | - | - | - | - | - | - | - | - |
“ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat” |
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View |