Dataset Viewer
Full Screen Viewer
Full Screen
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: NotImplementedError
Message: That compression method is not supported
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
compute_first_rows_from_parquet_response(
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response
rows_index = indexer.get_rows_index(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 640, in get_rows_index
return RowsIndex(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 521, in __init__
self.parquet_index = self._init_parquet_index(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 538, in _init_parquet_index
response = get_previous_step_or_raise(
File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 591, in get_previous_step_or_raise
raise CachedArtifactError(
libcommon.simple_cache.CachedArtifactError: The previous step failed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 96, in get_rows_or_raise
return get_rows(
File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 73, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1393, in __iter__
example = _apply_feature_types_on_example(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1082, in _apply_feature_types_on_example
decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1983, in decode_example
return {
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1984, in <dictcomp>
column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1349, in decode_nested_example
return schema.decode_example(obj, token_per_repo_id=token_per_repo_id)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 183, in decode_example
with xopen(path, "rb", download_config=download_config) as f:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1227, in xopen
file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 135, in open
return self.__enter__()
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 103, in __enter__
f = self.fs.open(self.path, mode=mode)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1293, in open
f = self._open(
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 129, in _open
out = self.zip.open(path, mode.strip("b"), force_zip64=self.force_zip_64)
File "/usr/local/lib/python3.9/zipfile.py", line 1568, in open
return ZipExtFile(zef_file, mode, zinfo, pwd, True)
File "/usr/local/lib/python3.9/zipfile.py", line 799, in __init__
self._decompressor = _get_decompressor(self._compress_type)
File "/usr/local/lib/python3.9/zipfile.py", line 698, in _get_decompressor
_check_compression(compress_type)
File "/usr/local/lib/python3.9/zipfile.py", line 678, in _check_compression
raise NotImplementedError("That compression method is not supported")
NotImplementedError: That compression method is not supportedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
AIObioEnts model files
This dataset contains the model files for AIObioEnts, trained using AIONER with 4 different pre-trained models:
- BiomedBERT-base pre-trained on abstracts from PubMed; the best-performing model reported in the original AIONER paper
- BiomedBERT-base pre-trained on both abstracts from PubMed and full-texts articles from PubMedCentral
- BioLinkBERT-base
- BioLinkBERT large
for the identification of core biomedical entities—gene, disease, cell line, chemical, species, variant— in textual data, in addition to the models fine-tuned with selected entites from the AnatEM corpus—cell component, tissue, organ, multi-tissue structure, cancer.
- Downloads last month
- 52