Comments (4)
Hi @Flitternie ,
Thanks for being interested in this work! This might be what you need:
{
"时尚靓妹": 0,
"家庭主妇": 1,
"烹饪达人": 2,
"买鞋控": 3,
"数码达人": 4,
"吃货": 5,
"爱包人": 6,
"高富帅": 7,
"花卉一族": 8,
"职场办公": 9,
"运动一族": 10,
"有型潮男": 11,
"爱听音乐": 12,
"收纳达人": 13,
"酒品人生": 14,
"养生专家": 15,
"美丽教主": 16,
"追风骑士": 17,
"户外一族": 18,
"速食客": 19,
"乐器迷": 20,
"阅读者": 21,
"动漫迷": 22,
"网络一族": 23,
"收藏家": 24,
"健美一族": 25,
"游戏人生": 26,
"休闲大咖": 27,
"情趣一族": 28,
"白富美": 29,
"学霸": 30,
"摄影一族": 31,
"旅行者": 32,
"绘画家": 33,
"舞林人士": 34,
}
In addition, you can explore the user category dataset further in this file, which includes more detailed user category information.
Best,
Qibin
from kobe.
Thanks for the reply. That's really helpful.
Still hv one question:
Does a>, b>, c> in src.str files stand for appearance, texture, function aspects respectively?
Regards,
Flitter
from kobe.
Yes! You're right.
from kobe.
Thanks for your timely reply!
Regards,
Flitter
from kobe.
Related Issues (20)
- Issue with evaluating model with beam search HOT 4
- Named entity to match product title with knowledge graph HOT 2
- Explaination about your preprocessed data HOT 3
- Failed to download the processed training data HOT 1
- detail user category HOT 1
- At the end of the run, the bleu score can no longer be improved at around 6. HOT 5
- Is there any dataset in English? HOT 1
- how long does the training process last?Could u please provide the training result? HOT 3
- How do you build the fact file in raw data? HOT 8
- Good name! HOT 1
- inference HOT 2
- 请问怎么在自己的数据集上做finetune和推理? HOT 4
- Error when preprocessing dataset HOT 1
- Why did you delete bi-attention code? HOT 2
- English language dataset HOT 1
- 关于模型的generate的API试用问题 HOT 1
- ignore this issue
- 关于24-V2训练
- WandB Link?
- 请问有图生文的部分吗
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from kobe.