Datasets:
Download default/train/0005.parquet from AlgorithmicResearchGroup/arxiv_python_research_code: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_python_research_code/resolve/refs%2Fconvert%2Fparquet/default/train/0005.parquet
- Command line
-
hf download hf://datasets/AlgorithmicResearchGroup/arxiv_python_research_code@refs/convert/parquet/default/train/0005.parquet
-
curl -L -o 0005.parquet https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_python_research_code/resolve/refs%2Fconvert%2Fparquet/default/train/0005.parquet
123 MB
- Xet hash:
- 5a3dab18207234cc4b162c907b1b3af3bed16ac12b10d17388f9fbd9bf9c64ef
- Size of remote file:
- 123 MB
- SHA256:
- 8cd079e89415796eaea9bfcbdd9b3a8bd8436ef1a1c5ea5103295f04dcc48f12
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.