nayana-c1.867c992ae9100904cc61c84591adf0f8f863e0387e30f0d0dbc86640e9f50a1a.zh.train.10058
nayana-c1.867c992ae9100904cc61c84591adf0f8f863e0387e30f0d0dbc86640e9f50a1a.zh.train.10058: train task in FineEnvs/nayana-ocr-env, an RL environment on the Hugging Face Hub. M.O的文章的卷和页码是多少。 Agwara等。在化学学会的公告中？ Answer in zh. Be concise and complete; do not add unsupported claims.
The task
M.O的文章的卷和页码是多少。 Agwara等。在化学学会的公告中？ Answer in zh. Be concise and complete; do not add unsupported claims.
Task details
- language
- zh
- family
- descriptive_vqa
- mime
- image/jpeg
- media ready
- False