The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xa7 in position 31: invalid start byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
yield from 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/text/text.py", line 98, in _generate_tables
batch = f.read(self.config.chunksize)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
out = read(*args, **kwargs)
File "<frozen codecs>", line 325, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa7 in position 31: 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.
Fluency ECDICT Offline Pack
This repository hosts the versioned ECDICT SQLite packages downloaded by the Fluency app for offline video word lookup and local subtitle focus-word matching.
Current release
| Field | Value |
|---|---|
| Data version | ecdict-bc015ed2-focus13-v2 |
| Schema | 2 |
| Entries | 770,611 |
| Focus-word lists | 13 |
| ZIP size | 54,594,964 bytes |
| SQLite size | 131,756,032 bytes |
| ZIP SHA-256 | 1e745ea698878772226a7df584129409dd4b27cb7ea26b4259bc770e7533352f |
| Source commit | bc015ed2e24a7abef49fc6dbbb7fe32c1dadaf8b |
| Source CSV SHA-256 | 1a6947e04785db63613a92e14903cdae7954f7e84860b10e68e5c7cbb3f9c3cf |
The v2 package adds structured membership and inflection indexes for 13 product focus-word lists. The manifest records the final member count of every list.
Previous release
ecdict-ecdict-bc015ed2-v1.zip remains available for rollback. Its ZIP SHA-256
is e9ce183d35f244d77119bf3e3a87342f5bb9b9034d903b8754806ce8a65bcc30.
Sources and licenses
Dictionary entries and the eight ECDICT-tag-derived lists are based on skywind3000/ECDICT under the MIT License.
The NGSL, NAWL, BSL, and TOEIC source snapshots used by the derived GMAT and
business lists are licensed under CC BY-SA 4.0. Attribution, pinned revisions,
normalization notes, and source hashes are recorded in
focus_word_sources/SOURCE.md. The corresponding
derived membership data is distributed under CC BY-SA 4.0.
The application validates the archive SHA-256, embedded SQLite metadata, entry count, and all 13 membership counts before activating a downloaded dictionary.
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