SubjectivityDetection / requirements.txt
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Add sentencepiece dependency to requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
accelerate==1.5.2
# via clef2025-checkthat (pyproject.toml)
aiohappyeyeballs==2.6.1
# via aiohttp
aiohttp==3.11.13
# via
# datasets
# fsspec
aiosignal==1.3.2
# via aiohttp
asttokens==3.0.0
# via stack-data
async-timeout==5.0.1
# via aiohttp
attrs==25.3.0
# via aiohttp
certifi==2025.1.31
# via requests
charset-normalizer==3.4.1
# via requests
comm==0.2.2
# via ipykernel
contourpy==1.3.1
# via matplotlib
cycler==0.12.1
# via matplotlib
datasets==3.4.0
# via clef2025-checkthat (pyproject.toml)
debugpy==1.8.13
# via ipykernel
decorator==5.2.1
# via ipython
dill==0.3.8
# via
# datasets
# multiprocess
exceptiongroup==1.2.2
# via ipython
executing==2.2.0
# via stack-data
filelock==3.18.0
# via
# datasets
# huggingface-hub
# torch
# transformers
fonttools==4.56.0
# via matplotlib
frozenlist==1.5.0
# via
# aiohttp
# aiosignal
fsspec==2024.12.0
# via
# datasets
# huggingface-hub
# torch
huggingface-hub==0.29.3
# via
# accelerate
# datasets
# sentence-transformers
# tokenizers
# transformers
idna==3.10
# via
# requests
# yarl
ipykernel==6.29.5
# via clef2025-checkthat (pyproject.toml)
ipython==8.34.0
# via ipykernel
jedi==0.19.2
# via ipython
jinja2==3.1.6
# via torch
joblib==1.4.2
# via scikit-learn
jupyter-client==8.6.3
# via ipykernel
jupyter-core==5.7.2
# via
# ipykernel
# jupyter-client
kiwisolver==1.4.8
# via matplotlib
markupsafe==3.0.2
# via jinja2
matplotlib==3.10.1
# via
# clef2025-checkthat (pyproject.toml)
# seaborn
matplotlib-inline==0.1.7
# via
# ipykernel
# ipython
mpmath==1.3.0
# via sympy
multidict==6.1.0
# via
# aiohttp
# yarl
multiprocess==0.70.16
# via datasets
nest-asyncio==1.6.0
# via ipykernel
networkx==3.4.2
# via torch
numpy==2.2.3
# via
# clef2025-checkthat (pyproject.toml)
# accelerate
# contourpy
# datasets
# matplotlib
# pandas
# scikit-learn
# scipy
# seaborn
# transformers
nvidia-cublas-cu12==12.4.5.8
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.4.127
# via torch
nvidia-cuda-nvrtc-cu12==12.4.127
# via torch
nvidia-cuda-runtime-cu12==12.4.127
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.2.1.3
# via torch
nvidia-curand-cu12==10.3.5.147
# via torch
nvidia-cusolver-cu12==11.6.1.9
# via torch
nvidia-cusparse-cu12==12.3.1.170
# via
# nvidia-cusolver-cu12
# torch
nvidia-cusparselt-cu12==0.6.2
# via torch
nvidia-nccl-cu12==2.21.5
# via torch
nvidia-nvjitlink-cu12==12.4.127
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvtx-cu12==12.4.127
# via torch
packaging==24.2
# via
# accelerate
# datasets
# huggingface-hub
# ipykernel
# matplotlib
# transformers
pandas==2.2.3
# via
# clef2025-checkthat (pyproject.toml)
# datasets
# seaborn
parso==0.8.4
# via jedi
pexpect==4.9.0
# via ipython
pillow==11.1.0
# via
# matplotlib
# sentence-transformers
platformdirs==4.3.6
# via jupyter-core
prompt-toolkit==3.0.50
# via ipython
propcache==0.3.0
# via
# aiohttp
# yarl
psutil==7.0.0
# via
# accelerate
# ipykernel
ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.3
# via stack-data
pyarrow==19.0.1
# via datasets
pygments==2.19.1
# via ipython
pyparsing==3.2.1
# via matplotlib
python-dateutil==2.9.0.post0
# via
# jupyter-client
# matplotlib
# pandas
pytz==2025.1
# via pandas
pyyaml==6.0.2
# via
# accelerate
# datasets
# huggingface-hub
# transformers
pyzmq==26.3.0
# via
# ipykernel
# jupyter-client
regex==2024.11.6
# via transformers
requests==2.32.3
# via
# datasets
# huggingface-hub
# transformers
safetensors==0.5.3
# via
# accelerate
# transformers
scikit-learn==1.6.1
# via
# clef2025-checkthat (pyproject.toml)
# sentence-transformers
scipy==1.15.2
# via
# scikit-learn
# sentence-transformers
seaborn==0.13.2
# via clef2025-checkthat (pyproject.toml)
sentencepiece>=0.2.0
# via transformers
sentence-transformers==3.4.1
# via clef2025-checkthat (pyproject.toml)
six==1.17.0
# via python-dateutil
stack-data==0.6.3
# via ipython
sympy==1.13.1
# via torch
threadpoolctl==3.6.0
# via scikit-learn
tiktoken==0.9.0
# via clef2025-checkthat (pyproject.toml)
tokenizers==0.21.1
# via transformers
torch==2.6.0
# via
# accelerate
# sentence-transformers
tornado==6.4.2
# via
# ipykernel
# jupyter-client
tqdm==4.67.1
# via
# clef2025-checkthat (pyproject.toml)
# datasets
# huggingface-hub
# sentence-transformers
# transformers
traitlets==5.14.3
# via
# comm
# ipykernel
# ipython
# jupyter-client
# jupyter-core
# matplotlib-inline
transformers==4.49.0
# via
# clef2025-checkthat (pyproject.toml)
# sentence-transformers
triton==3.2.0
# via torch
typing-extensions==4.12.2
# via
# huggingface-hub
# ipython
# multidict
# torch
tzdata==2025.1
# via pandas
urllib3==2.3.0
# via requests
wcwidth==0.2.13
# via prompt-toolkit
xxhash==3.5.0
# via datasets
yarl==1.18.3
# via aiohttp