MEDIQA 2021 - Multi-Answer Summarization (MAS)
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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
257187 | jenhao_yang_hao | 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 |
257196 | jenhao_yang_hao | 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 |
257193 | jenhao_yang_hao | 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 |
208074 | nguyen_minh_quang | failed | 0.000 | - | - | - | - | - | - | - | - |
TypeError: Object of type float32 is not JSON serializable |
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View |
257184 | jenhao_yang_hao | 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 |
257188 | jenhao_yang_hao | 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 |
208075 | nguyen_minh_quang | failed | 0.000 | - | - | - | - | - | - | - | - |
TypeError: Object of type float32 is not JSON serializable |
|
View |
180444 | caclc2_uetk63 | 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 |
150422 | caesarty | failed | 0.000 | - | - | - | - | - | - | - | - |
TypeError: Object of type float32 is not JSON serializable |
|
View |
257194 | jenhao_yang_hao | 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 |