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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    IndexError
Message:      list index out of range
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1901, in _prepare_split_single
                  original_shard_lengths[original_shard_id] += len(table)
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
              IndexError: list index out of range
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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indices
uint64
14,340,059
14,340,561
14,341,066
14,341,098
14,342,958
14,344,068
14,344,243
14,344,463
14,344,508
14,344,540
14,344,713
14,344,771
14,345,335
14,345,590
14,345,618
14,345,787
14,345,906
14,346,285
14,346,421
14,346,457
14,359,356
14,359,545
14,359,691
14,359,789
14,360,037
14,360,358
14,360,415
14,360,665
14,360,679
14,360,779
14,360,960
14,361,108
14,361,150
14,361,175
14,361,485
14,361,722
14,361,786
14,361,906
14,361,934
14,362,102
14,362,139
14,362,215
14,362,229
14,362,281
14,362,313
14,362,325
14,362,386
14,362,445
14,362,511
14,362,546
14,362,592
14,362,597
14,362,622
14,362,690
14,362,730
14,362,793
14,362,812
14,362,834
14,362,837
14,362,949
14,362,951
14,362,959
14,362,977
14,362,989
14,363,030
14,363,122
14,363,134
14,363,157
14,363,158
14,363,213
14,363,255
14,363,261
14,363,327
14,363,408
14,363,429
14,363,473
14,363,564
14,363,583
14,363,634
14,363,635
14,363,639
14,363,666
14,363,723
14,363,733
14,363,765
14,363,790
14,363,798
14,363,827
14,363,831
14,363,848
14,363,899
14,363,900
14,364,015
14,364,122
14,364,125
14,364,149
14,364,172
14,364,173
14,364,187
14,364,226
End of preview.

The dataset scLibrary is the pre-training dataset used by the LangCell model.

You can use git-lfs to download sclibrary.dataset from this repository, and then use the following code to load the data:

from datasets import load_from_disk
sclibrary=load_from_disk("/path/to/sclibrary.dataset")

Model github: https://github.com/PharMolix/LangCell

Paper: https://arxiv.org/abs/2405.06708

Citation

If you find scLibrary helpful to your research, please consider giving our Github repository a 🌟star and 📎citing the following article. Thank you for your support!

@misc{zhao2024langcell,
      title={LangCell: Language-Cell Pre-training for Cell Identity Understanding}, 
      author={Suyuan Zhao and Jiahuan Zhang and Yizhen Luo and Yushuai Wu and Zaiqing Nie},
      year={2024},
      eprint={2405.06708},
      archivePrefix={arXiv},
      primaryClass={q-bio.GN}
}
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Paper for tim10086/scLibrary