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Commit 4d85af94 authored by Allen Wang's avatar Allen Wang Committed by A. Unique TensorFlower
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Fix command in XLNet README. 

PiperOrigin-RevId: 337366497
parent 0ca9cd6a
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official/nlp/xlnet/README.md
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...@@ -98,7 +98,7 @@ export IMDB_DIR=~/imdb ...@@ -98,7 +98,7 @@ export IMDB_DIR=~/imdb
mkdir -p ${IMDB_DIR} mkdir -p ${IMDB_DIR}
cd ${IMDB_DIR} cd ${IMDB_DIR}
wget http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz . wget http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz
tar zxvf aclImdb_v1.tar.gz -C ${IMDB_DIR} tar zxvf aclImdb_v1.tar.gz -C ${IMDB_DIR}
rm aclImdb_v1.tar.gz rm aclImdb_v1.tar.gz
``` ```
...@@ -108,7 +108,7 @@ Then, the dataset can be converted into TFRecords with the following command: ...@@ -108,7 +108,7 @@ Then, the dataset can be converted into TFRecords with the following command:
```shell ```shell
export TASK_NAME=imdb export TASK_NAME=imdb
python3 preprocess_classification_data.py --max_seq_length=512 --spiece_model_file=${SPIECE_MODEL} --output_dir=${DATASETS_DIR}/${TASK_NAME} --data_dir=${IMDB_DIR} --task_name=${TASK_NAME} python3 preprocess_classification_data.py --max_seq_length=512 --spiece_model_file=${SPIECE_MODEL} --output_dir=${DATASETS_DIR}/${TASK_NAME} --data_dir=${IMDB_DIR}/aclImdb --task_name=${TASK_NAME}
``` ```
Note: To obtain SOTA on the IMDB dataset, using a sequence length of 512 is Note: To obtain SOTA on the IMDB dataset, using a sequence length of 512 is
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