zeroMN/SHMT
Audio-Text-to-Text
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Updated
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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: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xa5 in position 0: invalid start byte
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 2998, 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 1918, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1576, in __iter__
for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables
batch = f.read(self.config.chunksize)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 826, in read_with_retries
out = read(*args, **kwargs)
File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa5 in position 0: invalid start byteNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
-- 2nd International Chinese Word Segmentation Bakeoff - Data Release Release 1, 2005-11-18
- Introduction
This directory contains the training, test, and gold-standard data used in the 2nd International Chinese Word Segmentation Bakeoff. Also included is the script used to score the results submitted by the bakeoff participants and the simple segmenter used to generate the baseline and topline data.
- File List
gold/ Contains the gold standard segmentation of the test data along with the training data word lists.
scripts/ Contains the scoring script and simple segmenter.
testing/ Contains the unsegmented test data.
training/ Contains the segmented training data.
doc/ Contains the instructions used in the bakeoff.
- Encoding Issues
Files with the extension ".utf8" are encoded in UTF-8 Unicode.
Files with the extension ".txt" are encoded as follows:
as_ Big Five (CP950) hk_ Big Five/HKSCS msr_ EUC-CN (CP936) pku_ EUC-CN (CP936)
EUC-CN is often called "GB" or "GB2312" encoding, though technically GB2312 is a character set, not a character encoding.
- Scoring
The script 'score' is used to generate compare two segmentations. The script takes three arguments:
- The training set word list
- The gold standard segmentation
- The segmented test file
You must not mix character encodings when invoking the scoring script. For example:
% perl scripts/score gold/cityu_training_words.utf8
gold/cityu_test_gold.utf8 test_segmentation.utf8 > score.ut8
- Licensing
The corpora have been made available by the providers for the purposes of this competition only. By downloading the training and testing corpora, you agree that you will not use these corpora for any other purpose than as material for this competition. Petitions to use the data for any other purpose MUST be directed to the original providers of the data. Neither SIGHAN nor the ACL will assume any liability for a participant's misuse of the data.
- Questions?
Questions or comments about these data can be sent to Tom Emerson, [email protected].
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