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Datasets:
Quivr
/
CRAG

Tasks:
Question Answering
Summarization
Modalities:
Text
Formats:
json
Languages:
English
Size:
1K - 10K
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Tags:
music
finance
Libraries:
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pandas
License:
Dataset card Viewer Files Community
1
CRAG
File size: 2,101 Bytes 
0e25589
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
#   pre: false
#   features: []
#   all-features: false
#   with-sources: false
#   generate-hashes: false
#   universal: false

-e file:.
appnope==0.1.4
    # via ipykernel
asttokens==3.0.0
    # via stack-data
comm==0.2.2
    # via ipykernel
cramjam==2.9.1
    # via fastparquet
debugpy==1.8.12
    # via ipykernel
decorator==5.1.1
    # via ipython
executing==2.2.0
    # via stack-data
fastparquet==2024.11.0
    # via lejuge
fsspec==2024.12.0
    # via fastparquet
ipykernel==6.29.5
    # via lejuge
ipython==8.31.0
    # via ipykernel
jedi==0.19.2
    # via ipython
joblib==1.4.2
    # via scikit-learn
jupyter-client==8.6.3
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jupyter-core==5.7.2
    # via ipykernel
    # via jupyter-client
matplotlib-inline==0.1.7
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    # via ipython
nest-asyncio==1.6.0
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numpy==2.2.2
    # via fastparquet
    # via pandas
    # via scikit-learn
    # via scipy
packaging==24.2
    # via fastparquet
    # via ipykernel
pandas==2.2.3
    # via fastparquet
    # via lejuge
parso==0.8.4
    # via jedi
pexpect==4.9.0
    # via ipython
platformdirs==4.3.6
    # via jupyter-core
prompt-toolkit==3.0.50
    # via ipython
psutil==6.1.1
    # via ipykernel
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pygments==2.19.1
    # via ipython
python-dateutil==2.9.0.post0
    # via jupyter-client
    # via pandas
pytz==2024.2
    # via pandas
pyzmq==26.2.0
    # via ipykernel
    # via jupyter-client
scikit-learn==1.6.1
    # via lejuge
scipy==1.15.1
    # via scikit-learn
six==1.17.0
    # via python-dateutil
stack-data==0.6.3
    # via ipython
threadpoolctl==3.5.0
    # via scikit-learn
tornado==6.4.2
    # via ipykernel
    # via jupyter-client
traitlets==5.14.3
    # via comm
    # via ipykernel
    # via ipython
    # via jupyter-client
    # via jupyter-core
    # via matplotlib-inline
typing-extensions==4.12.2
    # via ipython
tzdata==2025.1
    # via pandas
wcwidth==0.2.13
    # via prompt-toolkit