nayana-c1.867c992ae9100904cc61c84591adf0f8f863e0387e30f0d0dbc86640e9f50a1a.zh.train.206167
nayana-c1.867c992ae9100904cc61c84591adf0f8f863e0387e30f0d0dbc86640e9f50a1a.zh.train.206167: train task in FineEnvs/nayana-ocr-env, an RL environment on the Hugging Face Hub. 如本文所述，在理想情况下使用饮食氮的理论最大效率是什么？ A. 约20％ B. 35-40％ C. 近45％ D. 50％ Return only the single uppercase letter of the correct option.
The task
如本文所述，在理想情况下使用饮食氮的理论最大效率是什么？ A. 约20％ B. 35-40％ C. 近45％ D. 50％ Return only the single uppercase letter of the correct option.
Task details
- language
- zh
- family
- mcq_vqa
- mime
- image/jpeg
- media ready
- False