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Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.9/tarfile.py", line 190, in nti
s = nts(s, "ascii", "strict")
File "/usr/local/lib/python3.9/tarfile.py", line 174, in nts
return s.decode(encoding, errors)
UnicodeDecodeError: 'ascii' codec can't decode byte 0xa3 in position 2: ordinal not in range(128)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.9/tarfile.py", line 2588, in next
tarinfo = self.tarinfo.fromtarfile(self)
File "/usr/local/lib/python3.9/tarfile.py", line 1292, in fromtarfile
obj = cls.frombuf(buf, tarfile.encoding, tarfile.errors)
File "/usr/local/lib/python3.9/tarfile.py", line 1234, in frombuf
chksum = nti(buf[148:156])
File "/usr/local/lib/python3.9/tarfile.py", line 193, in nti
raise InvalidHeaderError("invalid header")
tarfile.InvalidHeaderError: invalid header
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 298, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 77, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 31, in _get_pipeline_from_tar
for filename, f in tar_iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/track.py", line 50, in __iter__
for x in self.generator(*self.args):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1346, in _iter_from_urlpath
yield from cls._iter_tar(f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1297, in _iter_tar
stream = tarfile.open(fileobj=f, mode="r|*")
File "/usr/local/lib/python3.9/tarfile.py", line 1822, in open
t = cls(name, filemode, stream, **kwargs)
File "/usr/local/lib/python3.9/tarfile.py", line 1703, in __init__
self.firstmember = self.next()
File "/usr/local/lib/python3.9/tarfile.py", line 2600, in next
raise ReadError(str(e))
tarfile.ReadError: invalid header
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/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
Dataset Card for LiveATC Recordings (Partial 2024-08-26)
Dataset Summary
This dataset contains a partial collection of 21,172 air traffic control audio recordings from LiveATC.net for the date August 26, 2024. The recordings are organized by ICAO airport code and stored in .tar.zst archives. Due to rate limiting on LiveATC.net, this dataset represents an incomplete sample rather than a full day's recordings as originally planned. It is provided as-is for research purposes.
Languages
The dataset is multilingual, with English being the primary language. Other languages may be present depending on the airport location:
- English (en): The majority of the content
- Other: Some content in other languages may be present
Dataset Structure
Data Files
The dataset consists of audio recordings: MP3 files stored in .tar.zst archives, named by ICAO airport code.
Data Fields
This dataset includes the following fields:
audio: The MP3 audio recording fileicao: ICAO code of the airport (derived from audio filename)facility: Type of ATC facility (e.g., "CTAF", "TWR", derived from audio filename)date: Date of the recording (derived from audio filename)time: Time of the recording in UTC (derived from audio filename)
Data Splits
All examples are in a single split.
Audio Naming Convention
Audio files follow this naming convention:
{ICAO}-{Facility}-{Month}-{Day}-{Year}-{Time}Z.mp3
Example: 1G0-CTAF-Aug-26-2024-0000Z.mp3
Additional Information
License
This dataset is subject to LiveATC.net's Terms of Use. It is provided for personal, non-commercial use only. Redistribution, reproduction, or use for commercial, operational, law enforcement, or judicial activities is prohibited without explicit permission from LiveATC.net. Users must comply with all terms and conditions specified in LiveATC.net's full Terms of Use, which can be found at: https://www.liveatc.net/legal/
Users of this dataset are responsible for ensuring their use complies with LiveATC.net's terms and any applicable laws or regulations.
Considerations for Using the Data
This dataset could be used to improve air traffic control systems and study aviation safety. However, users should be aware of privacy considerations related to recorded voice communications. The dataset is incomplete and may not represent a full day's worth of communications. Audio quality may vary. Legal and ethical considerations of using recorded ATC communications should be carefully considered.
Users should consult LiveATC.net's terms of service and relevant aviation authorities regarding the use of air traffic control recordings for their specific purposes.
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