UCDP-AEC

Models and data for the UCDP Abstractive Event analysis Corpus paper
git clone https://esimon.eu/repos/UCDP-AEC.git
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env_reference.yml (3040B)


      1 name: degree
      2 channels:
      3   - pytorch
      4   - defaults
      5   - conda-forge
      6 dependencies:
      7   - _libgcc_mutex=0.1=main
      8   - _openmp_mutex=5.1=1_gnu
      9   - asttokens=2.0.8=pyhd8ed1ab_0
     10   - backcall=0.2.0=pyh9f0ad1d_0
     11   - backports=1.0=py_2
     12   - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
     13   - blas=1.0=mkl
     14   - bzip2=1.0.8=h7b6447c_0
     15   - ca-certificates=2022.9.24=ha878542_0
     16   - certifi=2022.9.24=pyhd8ed1ab_0
     17   - cudatoolkit=10.2.89=hfd86e86_1
     18   - decorator=5.1.1=pyhd8ed1ab_0
     19   - executing=1.1.1=pyhd8ed1ab_0
     20   - ffmpeg=4.3=hf484d3e_0
     21   - freetype=2.11.0=h70c0345_0
     22   - giflib=5.2.1=h7b6447c_0
     23   - gmp=6.2.1=h295c915_3
     24   - gnutls=3.6.15=he1e5248_0
     25   - intel-openmp=2021.4.0=h06a4308_3561
     26   - ipdb=0.13.9=pyhd8ed1ab_0
     27   - ipython=8.5.0=pyh41d4057_1
     28   - jedi=0.18.1=pyhd8ed1ab_2
     29   - jpeg=9b=h024ee3a_2
     30   - lame=3.100=h7b6447c_0
     31   - lcms2=2.12=h3be6417_0
     32   - ld_impl_linux-64=2.38=h1181459_1
     33   - libffi=3.3=he6710b0_2
     34   - libgcc-ng=11.2.0=h1234567_1
     35   - libgomp=11.2.0=h1234567_1
     36   - libiconv=1.16=h7f8727e_2
     37   - libidn2=2.3.2=h7f8727e_0
     38   - libpng=1.6.37=hbc83047_0
     39   - libstdcxx-ng=11.2.0=h1234567_1
     40   - libtasn1=4.16.0=h27cfd23_0
     41   - libtiff=4.1.0=h2733197_1
     42   - libunistring=0.9.10=h27cfd23_0
     43   - libuv=1.40.0=h7b6447c_0
     44   - libwebp=1.2.0=h89dd481_0
     45   - lz4-c=1.9.3=h295c915_1
     46   - matplotlib-inline=0.1.6=pyhd8ed1ab_0
     47   - mkl=2021.4.0=h06a4308_640
     48   - mkl-service=2.4.0=py38h7f8727e_0
     49   - mkl_fft=1.3.1=py38hd3c417c_0
     50   - mkl_random=1.2.2=py38h51133e4_0
     51   - ncurses=6.3=h5eee18b_3
     52   - nettle=3.7.3=hbbd107a_1
     53   - ninja=1.10.2=h06a4308_5
     54   - ninja-base=1.10.2=hd09550d_5
     55   - numpy=1.23.1=py38h6c91a56_0
     56   - numpy-base=1.23.1=py38ha15fc14_0
     57   - openh264=2.1.1=h4ff587b_0
     58   - openssl=1.1.1q=h7f8727e_0
     59   - parso=0.8.3=pyhd8ed1ab_0
     60   - pexpect=4.8.0=pyh9f0ad1d_2
     61   - pickleshare=0.7.5=py_1003
     62   - pillow=9.2.0=py38hace64e9_1
     63   - pip=22.2.2=py38h06a4308_0
     64   - prompt-toolkit=3.0.31=pyha770c72_0
     65   - ptyprocess=0.7.0=pyhd3deb0d_0
     66   - pure_eval=0.2.2=pyhd8ed1ab_0
     67   - pygments=2.13.0=pyhd8ed1ab_0
     68   - python=3.8.13=h12debd9_0
     69   - pytorch=1.8.0=py3.8_cuda10.2_cudnn7.6.5_0
     70   - readline=8.1.2=h7f8727e_1
     71   - setuptools=63.4.1=py38h06a4308_0
     72   - six=1.16.0=pyhd3eb1b0_1
     73   - sqlite=3.39.3=h5082296_0
     74   - stack_data=0.5.1=pyhd8ed1ab_0
     75   - tk=8.6.12=h1ccaba5_0
     76   - torchaudio=0.8.0=py38
     77   - torchvision=0.9.0=py38_cu102
     78   - traitlets=5.4.0=pyhd8ed1ab_0
     79   - typing_extensions=4.3.0=py38h06a4308_0
     80   - wcwidth=0.2.5=pyh9f0ad1d_2
     81   - wheel=0.37.1=pyhd3eb1b0_0
     82   - xz=5.2.6=h5eee18b_0
     83   - zlib=1.2.12=h5eee18b_3
     84   - zstd=1.4.9=haebb681_0
     85   - pip:
     86     - beautifulsoup4==4.9.3
     87     - bs4==0.0.1
     88     - charset-normalizer==2.1.1
     89     - click==8.1.3
     90     - filelock==3.8.0
     91     - idna==3.4
     92     - joblib==1.2.0
     93     - lxml==4.6.3
     94     - nltk==3.6.2
     95     - packaging==21.3
     96     - protobuf==3.17.3
     97     - pyparsing==3.0.9
     98     - regex==2022.9.13
     99     - requests==2.28.1
    100     - sacremoses==0.0.53
    101     - sentencepiece==0.1.95
    102     - soupsieve==2.3.2.post1
    103     - stanza==1.2
    104     - tensorboardx==2.4
    105     - tokenizers==0.8.1rc2
    106     - tqdm==4.64.1
    107     - transformers==3.1.0
    108     - urllib3==1.26.12