Comments (3)
xiaojinglu
commented on June 8, 2024
你好，可以方便提供您这边标注的语料结果给我们么？我们可以参考下具体看下哪些case比较模棱两可～
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brightmart
commented on June 8, 2024
感谢反馈问题。我们这边测试出human performance的准确率是90%，看上去当前最好的模型解决这个人类的效果。
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lindabigwheel
commented on June 8, 2024
- 每个任务的human performance， 是有几个标注人员 标注了多少数据 统计出来的？ 标注结果的细节能否放出来一下？
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Related Issues (14)
- FewCLUE LM-BFF can't run in prompt-demo mode HOT 1
- EFL模型无法复现 HOT 3
- P-Tuning baseline 代码缺失 HOT 1
- train_1.json集和dev_0.json集应该一一对应吗 HOT 1
- 训练或者验证阶段能否使用test_public数据 HOT 2
- 使用RoBERTa-large无法复现P-Tuning结果 HOT 13
- CSLDCP数据量和描述中不一致
- baseline/models_keras/ptuning_origin HOT 1
- python run_gpt.py -t chid -z 这个命令zero shot 为什么会进入样本训练逻辑？什么时候predict操作？
- README中的实验结果是如何计算的？
- PET和Ptuning有pytorch版本的代码吗？
- chid任务
- 可以更新一下加群二维码吗？ HOT 1
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