Merge pull request #25 from UKPLab/KTLO-2_New_EES_version_009

New EES version 0.0.9

environment.yml

@@ -41,13 +41,11 @@ dependencies:
   - mkl_random=1.1.1=py36h0573a6f_0
   - ncurses=6.3=h5eee18b_3
   - nettle=3.7.3=hbbd107a_1
-  - numpy=1.19.2=py36h54aff64_0
   - numpy-base=1.19.2=py36hfa32c7d_0
   - olefile=0.46=py36_0
   - openh264=2.1.1=h4ff587b_0
   - openjpeg=2.4.0=h3ad879b_0
   - openssl=1.1.1q=h7f8727e_0
-  - pillow=8.3.1=py36h2c7a002_0
   - pip=21.2.2=py36h06a4308_0
   - python=3.6.13=h12debd9_1
   - pytorch=1.10.2=py3.6_cuda11.3_cudnn8.2.0_0
@@ -75,7 +73,7 @@ dependencies:
     - click==8.0.4
     - datasets==2.4.0
     - dill==0.3.4
-    - easy-elasticsearch==0.0.8
+    - easy-elasticsearch==0.0.9
     - elasticsearch==7.9.1
     - faiss-cpu==1.7.2
     - filelock==3.4.1
@@ -89,8 +87,10 @@ dependencies:
     - multidict==5.2.0
     - multiprocess==0.70.12.2
     - nltk==3.6.7
+    - numpy==1.19.5
     - packaging==21.3
     - pandas==1.1.5
+    - pillow==8.4.0
     - protobuf==3.19.5
     - pyarrow==6.0.1
     - pyparsing==3.0.9

setup.py

@@ -6,7 +6,7 @@
 
 setup(
     name="gpl",
-    version="0.1.2",
+    version="0.1.3",
     author="Kexin Wang",
     author_email="[email protected]",
     description="GPL is an unsupervised domain adaptation method for training dense retrievers. It is based on query generation and pseudo labeling with powerful cross-encoders. To train a domain-adapted model, it needs only the unlabeled target corpus and can achieve significant improvement over zero-shot models.",
@@ -23,5 +23,5 @@
         "Operating System :: OS Independent",
     ],
     python_requires=">=3.6",
-    install_requires=["beir", "easy-elasticsearch>=0.0.8", "protobuf"],
+    install_requires=["beir", "easy-elasticsearch>=0.0.9", "protobuf"],
 )