Dataset Viewer
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: CastError
Message: Couldn't cast
content_hash: string
repo: string
path: string
stars: int64
source: string
html_url: string
content: string
lines: int64
words: int64
source_file_count: int64
root_directory: string
archive_bytes: int64
verification: string
sha256: string
extract_command: string
format: string
source_bytes: int64
anonymization: string
archive: string
to
{'archive': Value('string'), 'format': Value('string'), 'root_directory': Value('string'), 'source_file_count': Value('int64'), 'source_bytes': Value('int64'), 'archive_bytes': Value('int64'), 'sha256': Value('string'), 'verification': Value('string'), 'anonymization': Value('string'), 'extract_command': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
content_hash: string
repo: string
path: string
stars: int64
source: string
html_url: string
content: string
lines: int64
words: int64
source_file_count: int64
root_directory: string
archive_bytes: int64
verification: string
sha256: string
extract_command: string
format: string
source_bytes: int64
anonymization: string
archive: string
to
{'archive': Value('string'), 'format': Value('string'), 'root_directory': Value('string'), 'source_file_count': Value('int64'), 'source_bytes': Value('int64'), 'archive_bytes': Value('int64'), 'sha256': Value('string'), 'verification': Value('string'), 'anonymization': Value('string'), 'extract_command': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
1.43M Skills and SkillBOM Dataset
This repository contains the skill datasets and generated SkillBOM artifacts used in the study Agent Skill Supply Chains in the Wild: Dependency Structure and Security Patterns.
| Part | Contents |
|---|---|
| skills_dataset.jsonl | Source skill records, one JSON object per line. Each record includes skill document content, repository and file path, source URL, content hash, and metadata such as stars and text statistics. |
| boms/boms.tar.gz | 1,434,046 single-layer SkillBOM JSON files describing individual skills, their extracted components, and direct dependency relationships. |
| multi_level_boms/multi_level_boms.tar.gz | 127,891 multi-layer SkillBOM JSON files that expand root skills with resolved downstream dependencies, supporting analysis of transitive dependency structure. |
The BOM directories are distributed as compressed archives. Each archive preserves its directory structure and file count. Identity-bearing strings in BOM content and filenames are replaced with xxx, and archive ownership metadata and timestamps are normalized. The source JSONL remains unchanged. The accompanying boms manifest and multi-level BOM manifest record file counts, sizes, and SHA-256 checksums.
After downloading the archives, extract them with:
tar -xzf boms.tar.gz
tar -xzf multi_level_boms.tar.gz
This restores the boms/ and multi_level_boms/ directories. The source corpus can be read directly as JSONL; each line is an independent skill record.
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