Update the data of quick start. #573
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qingqing01
commented
Nov 23, 2016
qingqing01
commented
- quick_start/data/get_data里下载已经预处理过的数据。
- 增加 quick_start/data/proc_from_raw_data目录，提供从原始数据处理脚本。
- 相应的修改文档说明。
luotao1
reviewed
Nov 23, 2016
| #https://github.com/moses-smt/mosesdecoder | ||
| #wget https://github.com/moses-smt/mosesdecoder/archive/master.zip | ||
| #unzip master.zip | ||
| #rm master.zip |
| @@ -59,12 +59,11 @@ To build your text classification system, your code will need to perform five st | |||
| ## Preprocess data into standardized format | |||
| In this example, you are going to use [Amazon electronic product review dataset](http://jmcauley.ucsd.edu/data/amazon/) to build a bunch of deep neural network models for text classification. Each text in this dataset is a product review. This dataset has two categories: “positive” and “negative”. Positive means the reviewer likes the product, while negative means the reviewer does not like the product. | |||
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| `demo/quick_start` in the [source code](https://github.com/baidu/Paddle) provides scripts for downloading data and preprocessing data as shown below. The data process takes several minutes (about 3 minutes in our machine). | |||
| `demo/quick_start` in the [source code](https://github.com/baidu/Paddle) provides script for downloading the preprocessed data as shown below. (If you want to process the raw data, you can use the script `demo/quick_start/data/proc_from_raw_data/get_data.sh`). | |||
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| @@ -32,13 +32,11 @@ | |||
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| ## 数据格式准备(Data Preparation) | |||
| 在本问题中，我们使用[Amazon电子产品评论数据](http://jmcauley.ucsd.edu/data/amazon/)， | |||
| 将评论分为好评(正样本)和差评(负样本)两类。[源码](https://github.com/baidu/Paddle)的`demo/quick_start`里提供了数据下载脚本 | |||
| 和预处理脚本。 | |||
| 将评论分为好评(正样本)和差评(负样本)两类。[源码](https://github.com/baidu/Paddle)的`demo/quick_start`里提供了下载已经预处理数据的脚本（如果想从最原始的数据处理，可以使用脚本 `./demo/quick_start/data/proc_from_raw_data/get_data.sh`）。 | |||
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luotao1
approved these changes
Nov 28, 2016
zhhsplendid
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Sep 25, 2019
* paddle_tensorrt_infer_en * Update paddle_tensorrt_infer_en.md * Review
wangxicoding
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Dec 9, 2021
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