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From the step at https://github.com/mlcommons/training/blob/3a6a379305e6ef0a1c34461c823e9c99d52c1021/recommendation_v2/torchrec_dlrm/scripts/process_Criteo_1TB_Click_Logs_dataset.sh#L42, there was a d…
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Apparently, the official download [page](https://ailab.criteo.com/download-criteo-1tb-click-logs-dataset/) doesn't work. But as explained [here](https://github.com/NVIDIA/DeepLearningExamples/issues/1…
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https://www.kaggle.com/c/criteo-display-ad-challenge/data
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Tried running both the command to run it via a docker container, and also running it within the ResNet50 container.
End of the log follows
```
Looking in indexes: https://pypi.org/simple, https:/…
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The Criteo dataset is a 1TB dump of features around advertisements and whether or not someone clicked on the ad. It has a both dense and categorical/sparse data. I believe that the data is freely av…
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https://github.com/lambdaji/tf_repos/tree/master/deep_ctr#how-to-use
should update the link
-> 实验数据集用criteo,特征工程参考[here](url)
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http://sdtimes.com/criteo-releases-industrys-largest-ever-dataset-for-machine-learning-to-academic-community/
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Please cite the following two papers in your paper for FuxiCTR and BARS. I found you missed them.
Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He. [Open Benchmarking for Click-Through R…
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Hello,
I'm running some training with the Kaggle Criteo dataset, and here is the command I ran:
```
torchx run -s local_cwd dist.ddp -j 1x1 --script dlrm_main.py --\
--in_memory_binary_crite…