Datasets:
Tasks:
Summarization
License:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError Exception: ParserError Message: Error tokenizing data. C error: Expected 7 fields in line 26, saw 8 Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3335, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2096, in _head return next(iter(self.iter(batch_size=n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2296, in iter for key, example in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__ for key, pa_table in self._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow yield from self.ex_iterable._iter_arrow() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow for key, pa_table in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow for key, pa_table in self.generate_tables_fn(**gen_kwags): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 190, in _generate_tables for batch_idx, df in enumerate(csv_file_reader): File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__ return self.get_chunk() File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk return self.read(nrows=size) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read ) = self._engine.read( # type: ignore[attr-defined] File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read chunks = self._reader.read_low_memory(nrows) File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status File "parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error pandas.errors.ParserError: Error tokenizing data. C error: Expected 7 fields in line 26, saw 8
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
cvelint
CVE records in the v5 JSON schema may include errors that are neither enforceable by a schema, nor validated on the backend in CVE Services when a CVE record is created/updated. This CLI tool aims to validate CVE records for such errors so they can be fixed, and changes to the CVE schema can be made based on these findings.
Installation
Binary Releases
For Linux, macOS, or Windows, you can download a binary release here.
Build from Source
$ git clone https://github.com/mprpic/cvelint; cd cvelint
$ make build
$ ./bin/cvelint -h
Usage
$ git clone https://github.com/CVEProject/cvelistV5 # Download all CVE v5 records
$ ./cvelint -select E005 -cna redhat ./cvelistV5/cves/2023/
Collected 13501 files; checked 222 files.
CVE-2023-3618 (redhat) -- /home/user/cvelistV5/cves/2023/3xxx/CVE-2023-3618.json
E005 Incorrect CVSS v3 severity: "high"; should be "medium" (at "containers.cna.metrics.1.cvssV3_1")
Found 1 error.
$ ./cvelint -show-rules # Display available validation rules
$ ./cvelint -h # Display help
GitHub Action
cvelint-action runs daily and produces a CSV and JSON output of all errors in the current CVE v5 data set.
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