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Add data processing requirements #37

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Add data processing requirements #37

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1 change: 1 addition & 0 deletions scripts/data_processing/ace2005-oneie/run.sh
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Expand Up @@ -5,6 +5,7 @@ pip install -r requirements.txt
# >>> nltk.download("punkt")
# Or you can download manually here: https://github.com/nltk/nltk_data/blob/gh-pages/packages/tokenizers/punkt.zip
# to your ~/nltk_data/tokenizers/. And then unzip it.
# You may need Python <= 3.8 to process the scripts.
ACE_DATA_FOLDER=./../../../data/original/ace_2005_td_v7
python process_ace.py -i ${ACE_DATA_FOLDER}/data -o data/ -s splits/ACE05-E -b bert-base-cased -l english

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1 change: 1 addition & 0 deletions scripts/data_processing/ace2005-zh/requirements.txt
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jieba==0.42.1
3 changes: 3 additions & 0 deletions scripts/data_processing/ace2005-zh/run.sh
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@@ -1,3 +1,6 @@
# Install requirements
pip install -r requirements.txt

python ace2005-zh-novalue.py \
--data_dir ../../../data/original/ace_2005_td_v7 \
--ACE_SPLITS splits \
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1 change: 1 addition & 0 deletions scripts/data_processing/duee/requirements.txt
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jieba==0.42.1
3 changes: 3 additions & 0 deletions scripts/data_processing/duee/run.sh
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# Install requirements
pip install -r requirements.txt

python duee.py \
--data_dir ../../../data/original/DuEE1.0 \
--save_dir ../../../data/processed/DuEE1.0
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1 change: 1 addition & 0 deletions scripts/data_processing/ere/requirements.txt
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nltk==3.6.6
8 changes: 8 additions & 0 deletions scripts/data_processing/ere/run.sh
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@@ -1,3 +1,11 @@
# Install requirements
pip install -r requirements.txt
# First, you need to download nltk model
# >>> import nltk
# >>> nltk.download("punkt")
# Or you can download manually here: https://github.com/nltk/nltk_data/blob/gh-pages/packages/tokenizers/punkt.zip
# to your ~/nltk_data/tokenizers/. And then unzip it.

python LDC2015E29.py \
--data_dir ../../../data/original/LDC2015E29 \
--save_dir ../../../data/processed/LDC2015E29
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1 change: 1 addition & 0 deletions scripts/data_processing/kbp/requirements.txt
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nltk==3.6.6
8 changes: 8 additions & 0 deletions scripts/data_processing/kbp/run.sh
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# Install requirements
pip install -r requirements.txt
# First, you need to download nltk model
# >>> import nltk
# >>> nltk.download("punkt")
# Or you can download manually here: https://github.com/nltk/nltk_data/blob/gh-pages/packages/tokenizers/punkt.zip
# to your ~/nltk_data/tokenizers/. And then unzip it.

python kbp2014-ed.py \
--data_dir ../../../data/original/tac_kbp_eng_event_nugget_detect_coref_2014-2015 \
--save_dir ../../../data/processed/TAC-KBP2014
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