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[ModelZoo] Update MMoE dataset README. #317

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[ModelZoo] Update MMoE dataset README. #317

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39 changes: 35 additions & 4 deletions modelzoo/MMoE/data/README.md
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# Dataset
Taobao dataset from [EasyRec](https://github.com/AlibabaPAI/EasyRec) is used.
## Prepare dataset
Put data file **train.csv & eval.csv** into ./data/
Put data file **taobao_train_data & taobao_test_data** into ./data/
For details of Data download, see [EasyRec](https://github.com/AlibabaPAI/EasyRec/#GetStarted)

Download Kaggle Display Advertising Challenge Dataset from http://labs.criteo.com/2014/02/kaggle-display-advertising-challenge-dataset/
### Fields
The dataset contains 20 columns, details as follow:
| Name | clk | buy | pid | adgroup_id | cate_id | campaign_id | customer | brand | user_id | cms_segid | cms_group_id | final_gender_code | age_level | pvalue_level | shopping_level | occupation | new_user_class_level | tag_category_list | tag_brand_list | price |
| ---- | -------- | -------- | --------- | ---------- | --------- | ----------- | --------- | --------- | --------- | --------- | ------------ | ----------------- | --------- | ------------ | -------------- | ---------- | -------------------- | ----------------- | -------------- | -------- |
| Type | tf.int32 | tf.int32 | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.string | tf.int32 |

The evaluation dataset for accuracy measurement is not available in the above link can be downloaded from https://storage.googleapis.com/dataset-uploader/criteo-kaggle/large_version/eval.csv

Download the train dataset(in csv format) from https://storage.googleapis.com/dataset-uploader/criteo-kaggle/large_version/train.csv
The data in `tag_category_list` and `tag_brand_list` column are separated by `'|'`

### Processing
The `clk` and `buy` columns are used as labels.
User's feature columns is as follow:
| Column name | Hash bucket size | Embedding dimension |
| -------------------- | ---------------- | ------------------- |
| user_id | 100000 | 16 |
| cms_segid | 100 | 16 |
| cms_group_id | 100 | 16 |
| age_level | 10 | 16 |
| pvalue_level | 10 | 16 |
| shopping_level | 10 | 16 |
| occupation | 10 | 16 |
| new_user_class_level | 10 | 16 |
| tag_category_list | 100000 | 16 |
| tag_brand_list | 100000 | 16 |

Item's feature columns is as follow:
| Column name | Hash bucket size | Number of buckets | Embedding dimension |
| ----------- | ---------------- | ------------------- | ------------------- |
| pid | 10 | N/A | 16 |
| adgroup_id | 100000 | N/A | 16 |
| cate_id | 10000 | N/A | 16 |
| campaign_id | 100000 | N/A | 16 |
| customer | 100000 | N/A | 16 |
| brand | 100000 | N/A | 16 |
| price | N/A | 50 | 16 |