nayana-c1.867c992ae9100904cc61c84591adf0f8f863e0387e30f0d0dbc86640e9f50a1a.zh.train.243621
nayana-c1.867c992ae9100904cc61c84591adf0f8f863e0387e30f0d0dbc86640e9f50a1a.zh.train.243621: train task in FineEnvs/nayana-ocr-env, an RL environment on the Hugging Face Hub. 以下哪个数据集用于衡量国家卡路里目标的进度？ A. Nielsen的Scantrack，饮料营销公司的Drinktell和饮料Digest的事实书 B. Smartystreets，Esri Arcgis和Google StreetView C…
The task
以下哪个数据集用于衡量国家卡路里目标的进度？ A. Nielsen的Scantrack，饮料营销公司的Drinktell和饮料Digest的事实书 B. Smartystreets，Esri Arcgis和Google StreetView C. BCJ公司销售数据和定制的Nielsen扫描扫描数据 D. 食品商店，餐馆和机构客户 Return only the single uppercase letter of the correct option.
Task details
- language
- zh
- family
- mcq_vqa
- mime
- image/jpeg
- media ready
- False